Development and validation of the biosafety incident response competence scale for clinical nursing staff

Development and validation of the biosafety incident response competence scale for clinical nursing staff | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Development and validation of the biosafety incident response competence scale for clinical nursing staff Chao Wu, Hongli Zhang, Yinjuan Zhang, Mengyi Hu, Yawei Lin, Zhen Sa, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3343252/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 14 Mar, 2024 Read the published version in BMC Nursing → Version 1 posted 4 You are reading this latest preprint version Abstract Aims: This study aimed to develop the biosafety incident response competence scale and evaluate its validity and reliability among clinical nurses. Design: A scale development and validation study was completed in the following three phases: (1) the construction of a multidimensional conceptual model, (2) the preliminary exploration of the items, and (3) further exploration and evaluation of the items. Methods: The multidimensional conceptual model was developed through a literature review and the Delphi method. A total of 1,712 clinical nurses participated in the preliminary item exploration, while 1,027 clinical nurses were involved in the further item evaluation from July 2023 to August 2023. The item analysis, exploratory factor analysis and confirmatory factor analysis were conducted to evaluate the construct validity. The reliability was measured by internal consistency, split-half reliability and test–retest reliability. Results: The final scale is composed of 4 factors and 29 items, scored on a 5-point scale. The factors included monitoring and warning abilities, nursing disposal abilities, biosafety knowledge preparedness, and infection protection abilities. The explanatory variance of the 4 factors was 75.100%. The validity and reliability of the scale are well validated. The internal consistency, split-half reliability and test-retest reliability were 0.974, 0.945 and 0.840 respectively. The scale has good structural validity and content validity. The content validity was 0.866. Conclusions: The biosafety incident response competence scale for nurses exhibits satisfactory reliability and validity, making it a valuable tool for assessing clinical nurses' abilities in responding to biosafety incidents. Patient or Public Contribution : Clinical nurses participated in the exploration and evaluation of the nurse's biosafety incident response competence scale. clinical nurses biosafety incident response competence instrument development reliability validity exploratory factor analysis confirmatory factor analysis Figures Figure 1 Figure 2 Figure 3 1 | INTRODUCTION With the global climate change and increased globalization, the rapid spread of emerging infectious diseases has become a significant concern [ 1 , 2 ]. Globalization has also accelerated the spread of pathogenic microorganisms and increased the pathogen transmission [ 3 ]. On the other hand, biological weapons still threat humanity in infecting millions of people with a deadly disease [ 4 , 5 ]. At the same time, there is still abuse of biotechnology [ 6 ]. All of these pose a threat to the biosecurity of humanity. As a crucial aspect of national security, biosecurity is essential to public health, long-term stability, and sustainable development [ 7 ]. Therefore, actively maintaining biosafety is of great importance. Within the medical workforce, nursing staff plays a vital role in biosafety incident prevention and response [ 8 , 9 ]. Nurses with good biosafety event response capabilities can efficiently treat infected patients, contain the spread of biosafety infections, and to the largest extent minimize the disease severity. Their response competence is not only related to biosecurity threat warning, but also related to the effectiveness of the biosafety infection treatment [ 10 ]. The biosafety incident response competence is of great significance to the protection of public health and social stability [ 11 ]. The existing tools evaluating the response capacity of health personnel to biosafety incidents involve the Epidemic Preparedness Index (EPI) issued by Metabiota and the Global Health Security Index (GHSI) issued by Johns Hopkins University [ 12 , 13 ]. Researchers use EPI and GHSI to assess the response capacity to public health emergencies of infectious diseases [ 14 , 15 ]. However, it is important to recognize that biosafety incidents and infectious disease incidents have both similarities and differences. Therefore, relying solely on EPI and GHSI may not accurately gauge the biosafety incident response competence of nursing staff. Thus, there is a need for a quantifiable assessment tool specifically designed to evaluate the biosafety incident response competence for clinical nursing staff. Therefore, our study compiled clinical nurses’ biosafety incident response competence scale, in the hope that it could provide a scientific measure for their ability assessment, improvement, and training in responding to biosafety incidents. 2 | THE STUDY 2.1 | Aims The aim of our study was to develop the biosafety incident response competence scale and examine its validity and reliability among clinical nurses. 2.2 | Participants and sampling We recruited clinical nurses by convenience sampling from 7 tertiary hospitals in Shaanxi province, China, from July 2023 to August 2023. The inclusion criteria involved the clinical nurses with the nurse qualification certificate and engaged in clinical nursing work; the exclusion criteria included the nurses who were unwilling to participate in the investigation or were not on duty during the investigation. The sample size was determined by the general rule of the factor analysis [ 16 ], which recommended an absolute sample size of at least 200 and a sample size-to-item ratio greater than 10, and a 5% sample loss rate. The first phase of the survey preliminarily explored the scale with a total of 49 items. Therefore, the sample size is N = (49 × 10) ÷ (1–5%) ≈ 516. In the second phase of the survey to further explore and evaluate the scale, there were a total of 33 items. Therefore, the sample size required for this phase is N = (33 × 10) ÷ (1–5%) ≈ 348. A total of 1712 clinical nurses (for preliminary exploration of the item) and 1027 clinical nurses (for further exploration and evaluation of the items) were finally recruited in our study. 2.3 | Design A cross-sectional study of the development and validation of the biosafety incident response competence scale for clinical nurses was conducted from July 2023 to August 2023. It involved three stages: (1) the construction of the biosafety incident response competence conceptual model for clinical nurses, (2) the preliminary exploration of the biosafety incident response competence scale, and (3) further exploration and evaluation of the biosafety incident response competence scale. The flowchart is shown in Fig. 1 . 2.3.1 | The construction of the biosafety incident response competence conceptual model for clinical nurses In the first stage, we constructed the first draft of the biosafety incident response competence conceptual model for clinical nurses by literature review, theoretical research, qualitative interviews and panel discussions. This model was composed of 4 primary indicators (Biosafety incident preparedness, Biosafety event monitoring abilities, Biosafety infection protection competence and Biosafety incident nursing abilities), 10 secondary indicators and 48 tertiary indicators. Subsequently, we invited experts in the field of epidemiology, prevention medicine, military health service and nursing, experts who had experience in biosafety rescue for Delphi consultation. The inclusion criteria of consultation experts were as follows: (1) a minimum of 10 years of work experience; (2) possession of an intermediate or advanced level certificate; (3) voluntary participation in the investigation. Through two rounds of Delphi expert consultation, the index system was scored and modified. Kendall's concordance coefficient was used to assess the degree of agreement among the experts. In the two rounds of Delphi consultation, Kendall’s W test had statistical significance (P༜0.01), which means the experts were in agreement. Finally, the draft of the 49-item pool was determined. 2.3.2 | Preliminary exploration of the items In the second stage, we compiled the index system into the ‘clinical nurses’ biosafety incident response competence’ pre-test scale which included 49 items through the expert meeting. Before the formal investigation, the preliminary scale was distributed to clinical nurses to ensure that the scale was easy to understand and could be used for formal investigation. In the first round of investigation, 1712 clinical nurses participated in the survey using the pre-test scale. Critical ratio, discrete trend, correlation coefficient, factor loading and Cronbach's α coefficient were adopted for item analysis [ 17 ]. Through item analysis and exploratory factor analysis, we filtered the items and drafted a preliminary scale, which was composed of 4 factors and 33 items, basically consistent with the previous index system. 2.3.3 | Further exploration and evaluation of the items In the third stage, we conducted the second round of questionnaire survey which included 1027 clinical nurses. Item analysis was performed to filter out the remaining 33 items and re-explore and verify the structure of the scale using exploratory factor analysis and confirmatory factor analysis. And we adopted reliability test and validity test to inspect the reliability and validity of the scale. Reliability analysis included test-retest reliability, internal consistency and split-half reliability and validity analysis included content validity and structure validity. The sample size of 1027 participants was randomly divided, with 514 questionnaires used for exploratory factor analysis and 513 questionnaires used for confirmatory factor analysis. Finally, the biosafety incident response competence scale with high reliability and validity was developed, comprising 4 dimensions and 29 items. 2.4 | Data collection Before the formal investigation, the researchers received unified training on how to conduct the questionnaire survey. Then we obtained permission from their admin office of the hospital to distribute the questionnaires through email. Prior to conducting the study, written informed consent were obtained from the participants. The time of filling in the questionnaire was controlled between 5 and 10 minutes. According to voluntary principle, we recruited 1800 clinical nurses in the first round of investigation using convenient sampling method. A total of 1712 valid questionnaires were collected, with a response rate of 95.11%. In the second round of investigation, 1100 questionnaires were distributed, with 1027 valid ones collected, leading to a response rate of 93.36%. 2.5 | Data analysis We analyzed the data by SPSS 26.0 and Mplus 8.3. For the critical ratio, the total score of the scale was ranked from high to low, and the relationship between the top 27% and the bottom 27% was analyzed to determine the discrimination of the scale. The standard deviation of item scores represented the degree of dispersion. When it is less than 0.85, it indicates that the item is not able to distinguish and should be deleted. The significant correlation coefficient indicates a strong correlation between the item and the scale. For the factor loading, if the total score is less than 0.4, the item needs to be deleted. And if Cronbach's α becomes larger after deleting the item, it should be deleted. For reliability analysis, we used Cronbach's α coefficient, split-half reliability and test-retest reliability [ 18 ]. For validity analysis, we used content validity analysis and structure analysis, which contained exploratory factor analysis and confirmatory factor analysis [ 19 ]. 2.6 | Ethics approval and consent to participate The study was conducted in accordance with the Helsinki Declaration [ 20 ]. Research was approved by the ethics committee of Air Force Medical University (KY20224143-1). Informed consent was obtained from all participants included in the study and they were assured that the questionnaires would only be used for research. They could withdraw from the study at any time for any reason. 3 | RESULTS 3.1 | Characteristics of the participants In the first round of investigation, the average age of clinical nursing staff was (32.25 ± 6.48) years old, with 1585 females accounting for 92.58% and 127 males accounting for 7.42%. In the second round of the survey, the average age of clinical nurses was (33.09 ± 6.36) years old, with 134 males, accounting for 13.05%, and 893 females, accounting for 86.95%. Other Demographic features are shown in Table 1 . 3.2 | Preliminary exploration of the scale 3.2.1 | Item analysis As shown in Table 2 , the results of item analysis of the 1712 questionnaires to preliminary explore the scale in the first round showed that the values of each item in item analysis were up to the standard and all the items were to be reserved. 3.2.2 | Exploratory factor analysis Based on the item analysis, exploratory factor analysis was employed to preliminarily identify the structure of the nursing staff's biosafety incident response competence scale. Kaiser-Meyer-Olkin （ KMO ） analysis The KMO value was 0.984, the Bartley Sphericity test was statistically significant (c 2 =99415.926, df =1176, P <0.001), indicating that 49 items of nursing staff's biosafety incident response competence scale had common factors and were suitable for factor analysis. Factor Extraction and Rotation Principal Component Analysis was used to extract factors and varimax was used to rotate factors to extract components with eigenvalues higher than 1. And we removed the highest factor load less than 0.4, factor load across two or more factors and the difference less than 0.2, and the number of common factors included items less than 3 [21]. According to the delete criteria, items 8, 9, 10, 14, 21, 26, 27, 31, 34, 35, 36, 37, 38, 39, 40, 41 were deleted, and 4 common factors were extracted. The cumulative contribution of variance accounted for 73.427%. Based on the item analysis and exploratory factor analysis, a preliminary scale of nursing staff's biosafety incident response competence was developed, which includes 4 factors and 33 items. 4 factors were named at the group meeting as follows: biosafety knowledge preparedness, biosafety event monitoring and warning abilities, biosafety infection protection abilities and biosafety incident nursing disposal abilities, as shown in Table 3 . 3.3 | Further exploration and evaluation of the scale 3.3.1 | Item analysis This section used the same method for item analysis. The results showed that item 21 met the deletion criteria and was intended to be deleted after discussion by the research group, and other items were to be reserved. As shown in Table 2 . 3.3.2 | Exploration of Scale Structure On the basis of item analysis, we further explored the structure of the scale. The gravel plot of exploratory factor analysis shows that the scale exhibits inflection points between components 3~5. Based on the initial structure of the conceptual model, a 4-factor model was preliminarily extracted, as shown in Figure 2 . The results of principal component analysis of each dimension revealed that among the factors of each dimension, only one had an eigenvalue greater than 1. The variance contribution rates ranged from 68.311% to 76.246%, and the load value of each dimension item was greater than 0.4, as shown in Table 4 . 514 questionnaires were randomly selected from the 1027 questionnaires, and exploratory factors were analyzed by principal component analysis. Bartlett sphericity test yielded a value of 16383.411, and the KMO test value was 0.970 ( P <0.01). The results showed that the eigenvalues of the 4 factors were 17.925, 2.798, 1.491 and 1.128, and the variance contribution rates were 56.015%, 8.744%, 4.658% and 3.524%. The cumulative contribution of variance rate was 72.941%. However, items 9 " Regularly participate in the education of biosafety-related science knowledge ", 8 " Regularly participate in biosafety medical rescue exercises and training and joint military and civilian rescue exercises to deal with emergencies ", and 10 " Regularly pay attention to the biosafety frontier, and regularly participate in the training of biosafety nursing skills " were classified as the first common factor, belonging to the same category as items 19, 18, 17, 15, 12, 11, 13, 14, and 20, considering that common factor 1 corresponds to the model's "monitoring and warning ability". Considering that items 8, 9, and 10 do not belong to the same category as factor 1, 'Biosafety event monitoring and warning abilities', the research group deleted items 8-10 after discussion. On the basis of preliminary exploratory factor analysis, the scale included 4 dimensions and 29 items. We conducted exploratory factor analysis again. We randomly selected 514 questionnaires from 1027 valid questionnaires for exploratory factor analysis. The results showed that the Bartlett sphericity test value of the scale was 30410.372, and the KMO test value was 0.973 ( P <0.01). The characteristic values of the four factors are 16.885, 2.370, 1.436, and 1.088, respectively, with variance contribution rates of 58.224%, 8.174%, 4.950%, and 3.751%, and cumulative variance contribution rate of 75.100%. The cumulative variance contribution rate had been improved compared to the preliminary exploratory factor analysis, and the items included in the 4 factors conform to the theoretical model, as shown in Table 5 . 3.3.3 | Reliability analysis The scale and its 4 dimensions demonstrated good reliability. The overall internal consistency was 0.974, and that of each dimension ranged from 0.888 to 0.964. The total split-half reliability was 0.885, and of each dimension ranged from 0.856 to 0.917. To ensure comparability, we randomly selected 10% of the nursing staff and labeled them, and compared the selected nursing staff with the general nurses in Demography data, the difference was not significant ( P >0.05), indicating that the samples were comparable with the general samples. A questionnaire study was conducted on these 10% of nursing staff who were re-distributed the scale again after a 2 weeks interval. The results showed that the total retest reliability of the scale was 0.840, and the retest reliability of each dimension was 0.696~0.881. As shown in Table 6. 3.3.4 | Validity analysis Content validity 15 experts in the field of biosafety were invited to evaluate the content validity of the scale. The results showed that the I-CVI was 0.800~0.933, and S-CVI was 0.866. Structure validity The remaining 513 questionnaires in the second round of investigation were selected for confirmatory factor analysis. The 4-factor model was fitted by the maximum likelihood estimation method. The fitting indexes were shown in Table 7 , and the standard factor load model formed by confirmatory factor analysis was shown in Figure 3 . The factor load of each item was greater than 0.40, and all items had statistical significance ( P <0.05), indicating that the questionnaire had good structural validity. 4 | DISCUSSION 4.1 | The significance and innovation of the scale Indeed, the world is currently facing various biosecurity threats, including emerging infectious diseases, bioterrorism attacks, and the potential use of biological weapons [ 22 ]. The frequent occurrence of public health emergencies and safety incidents such as COVID-19 and other emerging infectious diseases have highlighted the importance of biosafety [ 23 ]. With the increased safety risks due to the misuse and abuse of new dual-use biotechnology, global attention to biosafety issues has been unprecedented [ 24 ]. The outbreak and handling of the COVID-19 pandemic have revealed weaknesses in early monitoring and warning systems for infectious disease outbreaks [ 25 , 26 ]. As one of the members of the medical team, the ability of nursing staff to respond to biosafety incidents is related to the response and disposal of biosafety threats. Therefore, it is urgent to clarify and enhance clinical nurses’ biosafety incident response competence. However, there is a lack of specialized evaluation tools for the ability of nursing staff to respond to biosafety events, as well as a lack of investigation into the ability of clinical nursing staff to respond to biosafety events. Therefore, it is urgent to develop a scale for the ability of nursing staff to respond to biosafety events, in order to clarify the current situation of nursing staff's biosafety event response ability, identify existing shortcomings, and provide reference for improving their biosafety event response ability in the future. 4.2 | The scientificity of the scale The development of the biosafety incident response competence scale for clinical nurses followed a scientific appraoch. A conceptual model was constructed based on literature review, qualitative interviews, group meetings, and Delphi consultation. The research group used the Classic Test Theory (CTT) as a guide to screen items using critical ratio, discrete trend, correlation coefficient, factor loading and Cronbach's α coefficient [ 27 ]. On the basis of the conceptual model, the items of the scale were screened through two rounds of questionnaire surveys, the structure of the scale was explored, and the reliability and validity of the scale were tested. The final scale consisted of 4 dimensions and 29 items, which had good reliability and validity. The cumulative variance contribution rate of the 4 factors in the scale is 72.941%, indicating that the 4 factors could explain the difference in biosafety incident response competence of clinical nurses to the extent of 72.941%. The reliability and validity test of the scale shows that it has good reliability and validity, which also reflects the scientific process of scale development. Reliability analysis refers to the consistency, stability, and reliability of test results [ 28 ]. Validity analysis refers to the validity of the results, that is, the consistency between the measurement results and the content to be examined [ 29 ]. The results of our study showed that the internal consistency, split-half reliability, and retest reliability of the scale all reached good levels. The expert score of Content validity was also high, and the 4-factor model of confirmatory factor analysis in structural validity was well fitted, which indicated that the scale developed was scientific and reasonable. 4.3 | The content of the scale Clinical nurses’ biosafety incident response competence scale developed in our study comprises 4 dimensions, namely, biosafety event monitoring and warning abilities (12 items), biosafety incident nursing disposal abilities (8 items), biosafety knowledge preparedness (7 items), and biosafety infection protection abilities (5 items). The scale adopts Likert's 5-level scoring method, with higher scores indicating a higher level of nursing staff's biosafety incident response competence. Nursing staff work on the clinical front line and have direct contacts with patients. They are not only "sentries" who discover dangerous situations, but also the first "shield" to deal with threats [ 30 ]. However, existing research shows that caregivers lack preparedness when dealing with emergencies and disasters [ 31 ]. Therefore, they should master the knowledge of biosafety, especially in the specialty of biosafety nursing. Currently, biosafety has become an important component of national security, and everyone needs to basically acquire biosafety knowledge [ 32 , 33 ]. As crucial participants in managing biosafety incidents, nursing staff should possess systematic knowledge of biosafety to effectively respond to such threats [ 34 ]. In the event of a biosafety incident, nursing staff with proficient nursing disposal abilities can swiftly carry out rescue operations, aiding in disease containment and promoting patient recovery [ 35 , 36 ]. Due to the fact that most biosafety incidents can be contagious, nursing staff also need to prioritize self-protection during rescue operations and maintain a strong preventive mindset [ 37 ]. The dimensions of the scale and the abilities in the items cover each stage of nursing staff's biosafety event rescue, with detailed content that can comprehensively assess their biosafety event response competence. This scale can serve as a valuable tool for assessing, evaluating, and training nursing staff in biosafety event response. 4.4 | Limitations In our study, we didn't conduct cross-group measurement invariance analysis on nurses in different levels of hospitals and departments. So, it is not clear whether there were differences in the application in different groups with distinct characteristic. This limitation highlights an area for further investigation. We will analyze the invariance of cross-group measurement and figure out the differences in its application in different groups. 5 | CONCLUSION Our study successfully developed a biosafety incident response competence scale for clinical nurses through scientific methods, which includes 4 dimensions, namely, biosafety event monitoring and warning abilities (12 items), biosafety incident nursing disposal abilities (8 items), biosafety knowledge preparedness (7 items), and biosafety infection protection abilities (5 items). The scale adopts Likert's 5-level scoring method and presents satisfactory reliability and validity. It can be adopted to evaluate the biosafety incident response abilities of clinical nurses. Declarations ACKNOWLEDGEMENTS We extend our gratitude to 2739 nurses for their support and cooperation. AUTHOR CONTRIUTIONS CW, HLZ and YJZ contributed to the research design, data analysis and writing of the paper. MYH and YWL distributed and withdrew the questionnaires. ZS was in charge of writing the paper and verifying the English version. SWL and YLZ were responsible for analyzing the data while HJL was for designing the research and providing guidance from the perspective of statistics. All authors have read and approved the manuscript. FUNDING Construction of a Virtual Simulation Training Platform for Nursing Rescue under the Background of Biosafety Defense (145AHQ080005002X). AVAILABILITY OF DATA The datasets generated and analyzed during the current study are not publicly available due to the protection of the privacy of clinical nurses but are available from the corresponding author ( [email protected] ) on reasonable request. CONSENT FOR PUBLICATION Not applicable. COMPETING INTERESTS No potential conflict of interest was reported by the authors. References Ellwanger JH, Kaminski VL, Chies JAB: Emerging infectious disease prevention: Where should we invest our resources and efforts? Journal of infection and public health 2019, 12 (3):313-316. Baddal B: Editorial: Emerging technologies in infectious disease treatment, prevention and control . Frontiers in cellular and infection microbiology 2022, 12 :1096998. Semenza JC, Rocklöv J, Ebi KL: Climate Change and Cascading Risks from Infectious Disease . Infectious diseases and therapy 2022, 11 (4):1371-1390. Gronvall GK, Wang L, McGrath PF, Cicero AJ, Yuan Y, Parker MI, Zhang W, Sun Y, Xue Y, Zhang J et al : The Biological Weapons Convention should endorse the Tianjin Biosecurity Guidelines for Codes of Conduct . Trends in microbiology 2022, 30 (12):1119-1120. Pohanka M: Immunosensors for Assay of Toxic Biological Warfare Agents . Biosensors 2023, 13 (3). McCarty NS, Ledesma-Amaro R: Synthetic Biology Tools to Engineer Microbial Communities for Biotechnology . Trends in biotechnology 2019, 37 (2):181-197. Hao R, Liu Y, Shen W, Zhao R, Jiang B, Song H, Yan M, Ma H: Surveillance of emerging infectious diseases for biosecurity . Science China Life sciences 2022, 65 (8):1504-1516. Kinlay SH, Whiting J, Audain P, Conrad P, Kulma A, Agus MSD, Sandora TJ: Novel Deployment of Pediatric Biocontainment Unit Nurses in Response to COVID-19 . The American journal of nursing 2021, 121 (11):53-58. Wu C, Wu P, Li P, Cheng F, Du Y, He S, Lang H: Construction of an index system of core competence assessment for infectious disease specialist nurse in China: a Delphi study . BMC infectious diseases 2021, 21 (1):791. Saseedharan S, Karanam R, Kadam V, Shirsekar S: Smart secretion management to protect nurses from COVID19 and other infectious diseases . Nursing in critical care 2022, 27 (5):706-710. Bajjou T, Ennibi K, Amine IL, Mahassine F, Sekhsokh Y, Gentry-Weeks C: Role of Training and Experience in Biosafety Practices Among Nurses Working in Level 2 or 3 Patient Containment . Applied biosafety : journal of the American Biological Safety Association 2020, 25 (2):96-103. Oppenheim B, Gallivan M, Madhav NK, Brown N, Serhiyenko V, Wolfe ND, Ayscue P: Assessing global preparedness for the next pandemic: development and application of an Epidemic Preparedness Index . BMJ global health 2019, 4 (1):e001157. Ravi SJ, Warmbrod KL, Mullen L, Meyer D, Cameron E, Bell J, Bapat P, Paterra M, Machalaba C, Nath I et al : The value proposition of the Global Health Security Index . BMJ global health 2020, 5 (10). Zhang XX, Liu JS, Han LF, Xia S, Li SZ, Li OY, Kassegne K, Li M, Yin K, Hu QQ et al : Towards a global One Health index: a potential assessment tool for One Health performance . Infectious diseases of poverty 2022, 11 (1):57. Khalifa BA, Abbey EJ, Ayeh SK, Yusuf HE, R DN, Osuji N, Khan S, Nosakhare E, Oduwole MO, Salia EL et al : The Global Health Security Index is not predictive of vaccine rollout responses among OECD countries . International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases 2021, 113 :7-11. Yang Z, Wang H, Wang A: Development and validation of the advance care planning practice preference scale for clinical nurses . Journal of advanced nursing 2023, 79 (7):2695-2708. Wu C, Yan J, Wu J, Wu P, Cheng F, Du L, Du Y, Lei S, Lang H: Development, reliability and validity of infectious disease specialist Nurse's Core competence scale . BMC nursing 2021, 20 (1):231. Pronk T, Molenaar D, Wiers RW, Murre J: Methods to split cognitive task data for estimating split-half reliability: A comprehensive review and systematic assessment . Psychonomic bulletin & review 2022, 29 (1):44-54. Zhang S, Zang X, Zhang F: Development and Validation of the Win-Win Scale . Front Psychol 2021, 12 :657015. Ballantyne A, Eriksson S: Research ethics revised: The new CIOMS guidelines and the World Medical Association Declaration of Helsinki in context . Bioethics 2019, 33 (3):310-311. Matsumura K, Hamazaki K, Tsuchida A, Kasamatsu H, Inadera H: Factor structure of the Edinburgh Postnatal Depression Scale in the Japan Environment and Children's Study . Scientific reports 2020, 10 (1):11647. Cummings CL, Volk KM, Ulanova AA, Lam D, Ng PR: Emerging Biosecurity Threats and Responses: A Review of Published and Gray Literature . In: Emerging Threats of Synthetic Biology and Biotechnology: Addressing Security and Resilience Issues. edn. Edited by Trump BD, Florin MV, Perkins E, Linkov I. Dordrecht (DE): Springer Copyright 2021, The Author(s). 2021: 13-36. Pilkington EH, Suys EJA, Trevaskis NL, Wheatley AK, Zukancic D, Algarni A, Al-Wassiti H, Davis TP, Pouton CW, Kent SJ et al : From influenza to COVID-19: Lipid nanoparticle mRNA vaccines at the frontiers of infectious diseases . Acta biomaterialia 2021, 131 :16-40. Volk KM, Gering TJ: Predicting Biosecurity Threats: Deployment and Detection of Biological Weapons . In: Emerging Threats of Synthetic Biology and Biotechnology: Addressing Security and Resilience Issues. edn. Edited by Trump BD, Florin MV, Perkins E, Linkov I. Dordrecht (DE): Springer Copyright 2021, The Author(s). 2021: 195-207. Zhu Y, Oishi W, Maruo C, Saito M, Chen R, Kitajima M, Sano D: Early warning of COVID-19 via wastewater-based epidemiology: potential and bottlenecks . The Science of the total environment 2021, 767 :145124. Stow D, Barker RO, Matthews FE, Hanratty B: National Early Warning Scores and COVID-19 deaths in care homes: an ecological time-series study . BMJ open 2021, 11 (9):e045579. Lee MK, Peipert JD, Cella D, Yost KJ, Eton DT, Novotny PJ, Sloan JA, Dueck AC: Identifying meaningful change on PROMIS short forms in cancer patients: a comparison of item response theory and classic test theory frameworks . Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation 2023, 32 (5):1355-1367. Keyworth C, Epton T, Goldthorpe J, Calam R, Armitage CJ: Acceptability, reliability, and validity of a brief measure of capabilities, opportunities, and motivations ("COM-B") . British journal of health psychology 2020, 25 (3):474-501. Tanrıverdi E, Nas MA, Kaşali K, Layık ME, El-Aty AMA: Validity and reliability of the Professionalism Assessment Scale in Turkish medical students . PloS one 2023, 18 (1):e0281000. Niraula A, Gelal B, Lamsal M: Approach to Sample Collection, Transport and Processing of Suspected or Confirmed COVID-19 Patients for Biochemistry Investigations . JNMA; journal of the Nepal Medical Association 2020, 58 (232):1107-1111. Wang Y, Liu Y, Yu M, Wang H, Peng C, Zhang P, Nian X, Jia Q, Li C: Disaster Preparedness Among Nurses in China: A Cross-Sectional Study . The journal of nursing research : JNR 2023, 31 (1):e255. Zhou D, Song H, Wang J, Li Z, Xu S, Ji X, Hou X, Xu J: Biosafety and biosecurity . Journal of biosafety and biosecurity 2019, 1 (1):15-18. Ali Al Shehri S, Al-Sulaiman AM, Azmi S, Alshehri SS: Bio-safety and bio-security: A major global concern for ongoing COVID-19 pandemic . Saudi journal of biological sciences 2022, 29 (1):132-139. Fryk JJ, Tong S, Marshall C, Rajkhowa A, Buising K, MacIsaac C, Walsham N, Thevarajan I: Knowledge, attitudes and practices of healthcare workers within an Australian tertiary hospital to managing high-consequence infectious diseases . Infection, disease & health 2021, 26 (2):95-103. Chen CC, Chi CY: Biosafety in the preparation and processing of cytology specimens with potential coronavirus (COVID-19) infection: Perspectives from Taiwan . Cancer cytopathology 2020, 128 (5):309-316. Huang LH, Chen CM, Chen SF, Wang HH: Roles of nurses and National Nurses Associations in combating COVID-19: Taiwan experience . International nursing review 2020, 67 (3):318-322. Hofmeyer A, Taylor R: Strategies and resources for nurse leaders to use to lead with empathy and prudence so they understand and address sources of anxiety among nurses practising in the era of COVID-19 . Journal of clinical nursing 2021, 30 (1-2):298-305. Tables Table 1 General demographic data. N, number Characteristics The first round of investigation (n=1712) The second round of investigation (n=1027) N % N % Age (years) 50 37 2.16 24 2.34 Sex Female 1585 92.58 893 86.95 Male 127 7.42 134 13.05 Work experience in clinical nursing (years) 10 585 34.17 282 27.46 Title Nurse 920 53.74 628 61.15 Nurse in charge 755 44.10 385 37.49 Deputy chief nurse or above 37 2.16 14 1.36 Educational background Below bachelor degree 116 6.78 173 16.85 Bachelor degree 1574 91.94 839 81.69 Master's degree or above 22 1.29 15 1.46 Department Department of Infectious Diseases 248 14.49 156 15.19 Non-infectious department 1464 85.51 871 84.81 Positions Nurses 1649 96.32 996 96.98 Head nurses 63 3.68 31 3.02 Marital status Unmarried 494 28.86 453 44.11 Married 1200 70.09 562 54.72 Divorce or bereavement 18 1.05 12 1.17 Table 2 The item analysis for clinical nurses’ biosafety incident response competence scale Item The first round of investigation (n=1712) Item The second round of investigation (n=1027) Critical ratio Discrete trend Correlation coefficient Factor loading Cronbach's a coefficient Retained item Critical ratio Discrete trend Correlation coefficient Factor loading Cronbach's a coefficient Retained item 1 25.115 0.925 0.611 ** 0.611 0.985 √ 1 22.500 0.928 0.657 ** 0.631 0.975 √ 2 27.510 0.916 0.643 ** 0.643 0.985 √ 2 22.587 0.932 0.681 ** 0.677 0.975 √ 3 29.896 0.926 0.686 ** 0.686 0.985 √ 3 26.847 0.938 0.714 ** 0.712 0.975 √ 4 25.832 0.882 0.623 ** 0.623 0.985 √ 4 21.253 0.868 0.657 ** 0.645 0.975 √ 5 32.128 0.876 0.730 ** 0.730 0.985 √ 5 26.471 0.869 0.726 ** 0.723 0.975 √ 6 34.379 0.896 0.738 ** 0.738 0.985 √ 6 27.007 0.900 0.740 ** 0.730 0.975 √ 7 37.160 0.947 0.757 ** 0.757 0.985 √ 7 29.541 0.967 0.765 ** 0.743 0.975 √ 8 33.735 0.975 0.711 ** 0.711 0.985 √ 8 23.262 1.034 0.661 ** 0.672 0.975 √ 9 35.179 0.969 0.754 ** 0.754 0.985 √ 9 27.502 1.026 0.738 ** 0.759 0.975 √ 10 39.807 0.963 0.786 ** 0.786 0.985 √ 10 27.979 0.991 0.752 ** 0.718 0.975 √ 11 26.732 1.051 0.624 ** 0.624 0.985 √ 11 32.277 0.968 0.814 ** 0.757 0.974 √ 12 31.346 1.019 0.704 ** 0.704 0.985 √ 12 32.657 0.975 0.815 ** 0.775 0.974 √ 13 31.358 0.977 0.736 ** 0.736 0.985 √ 13 34.689 0.952 0.826 ** 0.775 0.974 √ 14 27.167 0.945 0.678 ** 0.678 0.985 √ 14 34.981 0.965 0.823 ** 0.747 0.974 √ 15 39.318 0.935 0.819 ** 0.819 0.985 √ 15 35.542 0.966 0.835 ** 0.785 0.974 √ 16 40.326 0.944 0.816 ** 0.816 0.985 √ 16 19.845 0.975 0.606 ** 0.553 0.975 √ 17 39.994 0.923 0.829 ** 0.829 0.985 √ 17 31.575 0.958 0.828 ** 0.773 0.974 √ 18 39.666 0.930 0.812 ** 0.812 0.985 √ 18 32.874 0.962 0.834 ** 0.780 0.974 √ 19 41.176 0.950 0.823 ** 0.823 0.985 √ 19 32.342 0.976 0.827 ** 0.794 0.974 √ 20 28.521 0.998 0.685 ** 0.685 0.985 √ 20 33.956 0.991 0.824 ** 0.740 0.974 √ 21 37.172 0.928 0.823 ** 0.823 0.985 √ 21 18.091 0.966 0.573 ** 0.768 0.976 × 22 39.440 0.932 0.836 ** 0.836 0.985 √ 22 20.595 0.976 0.616 ** 0.796 0.975 √ 23 40.588 0.943 0.840 ** 0.840 0.985 √ 23 28.544 1.032 0.771 ** 0.698 0.975 √ 24 39.414 0.953 0.837 ** 0.837 0.985 √ 24 24.284 0.965 0.700 ** 0.688 0.975 √ 25 38.919 0.978 0.827 ** 0.827 0.985 √ 25 23.079 1.002 0.677 ** 0.743 0.975 √ 26 33.034 0.976 0.762 ** 0.762 0.985 √ 26 30.997 1.023 0.791 ** 0.713 0.975 √ 27 39.152 0.950 0.838 ** 0.838 0.985 √ 27 25.542 0.976 0.759 ** 0.748 0.975 √ 28 23.793 1.017 0.602 ** 0.602 0.985 √ 28 28.501 0.953 0.783 ** 0.776 0.975 √ 29 21.771 1.003 0.581 ** 0.581 0.985 √ 29 29.875 0.983 0.797 ** 0.805 0.975 √ 30 37.353 1.004 0.789 ** 0.789 0.985 √ 30 33.064 1.004 0.825 ** 0.808 0.975 √ 31 38.911 0.966 0.829 ** 0.829 0.985 √ 31 29.222 0.974 0.795 ** 0.835 0.975 √ 32 28.384 0.974 0.681 ** 0.681 0.985 √ 32 25.008 0.910 0.753 ** 0.781 0.975 √ 33 27.842 1.004 0.679 ** 0.679 0.985 √ 33 25.302 0.962 0.740 ** 0.758 0.975 √ 34 35.814 1.000 0.780 ** 0.780 0.985 √ 35 38.751 1.005 0.809 ** 0.809 0.985 √ 36 42.283 0.985 0.837 ** 0.837 0.985 √ 37 39.898 0.975 0.829 ** 0.829 0.985 √ 38 42.783 0.965 0.850 ** 0.850 0.985 √ 39 38.527 0.980 0.826 ** 0.826 0.985 √ 40 41.598 0.986 0.846 ** 0.846 0.985 √ 41 39.690 0.982 0.835 ** 0.835 0.985 √ 42 40.084 0.982 0.838 ** 0.838 0.985 √ 43 34.896 0.946 0.800 ** 0.800 0.985 √ 44 35.988 0.934 0.801 ** 0.801 0.985 √ 45 36.986 0.957 0.809 ** 0.809 0.985 √ 46 39.823 0.957 0.839 ** 0.839 0.985 √ 47 35.365 0.951 0.801 ** 0.801 0.985 √ 48 33.058 0.908 0.770 ** 0.770 0.985 √ 49 32.398 0.962 0.754 ** 0.754 0.985 √ Note: ** P <0.01 Table 3 Factor matrix of clinical nurses’ biosafety incident response competence scale (n=1712) Item Biosafety knowledge preparedness Biosafety event monitoring and warning abilities Biosafety infection protection abilities Biosafety incident nursing disposal abilities Retained item 24 0.715 0.386 0.242 0.252 √ 12 0.715 0.265 -0.006 0.306 √ 23 0.712 0.365 0.294 0.262 √ 22 0.700 0.372 0.312 0.246 √ 17 0.699 0.270 0.275 0.381 √ 13 0.697 0.281 0.066 0.342 √ 11 0.682 0.274 -0.113 0.249 √ 19 0.671 0.281 0.280 0.378 √ 16 0.668 0.247 0.294 0.404 √ 25 0.652 0.339 0.393 0.219 √ 15 0.645 0.253 0.327 0.414 √ 18 0.631 0.272 0.347 0.366 √ 21 0.615 0.368 0.419 0.250 × 27 0.609 0.368 0.443 0.221 × 26 0.546 0.304 0.489 0.199 × 47 0.344 0.788 0.222 0.217 √ 45 0.328 0.779 0.270 0.221 √ 48 0.233 0.757 0.336 0.258 √ 49 0.308 0.753 0.207 0.240 √ 46 0.357 0.738 0.309 0.237 √ 44 0.242 0.722 0.397 0.257 √ 43 0.262 0.698 0.403 0.236 √ 42 0.405 0.655 0.329 0.211 √ 41 0.441 0.608 0.289 0.210 × 40 0.454 0.604 0.292 0.220 × 38 0.373 0.559 0.462 0.219 × 39 0.441 0.558 0.310 0.217 × 37 0.346 0.514 0.504 0.199 × 35 0.349 0.472 0.466 0.210 × 29 0.039 0.211 0.824 0.149 √ 28 0.078 0.223 0.784 0.175 √ 33 0.107 0.306 0.779 0.184 √ 32 0.138 0.312 0.736 0.205 √ 30 0.311 0.368 0.652 0.213 √ 20 0.389 0.193 0.631 0.253 √ 31 0.399 0.405 0.588 0.208 × 34 0.304 0.408 0.565 0.187 × 36 0.356 0.507 0.519 0.189 × 14 0.447 0.160 0.506 0.338 × 2 0.281 0.184 0.168 0.715 √ 3 0.314 0.192 0.210 0.715 √ 1 0.245 0.181 0.186 0.698 √ 6 0.331 0.223 0.272 0.695 √ 5 0.257 0.235 0.342 0.695 √ 7 0.494 0.244 0.086 0.650 √ 4 0.165 0.173 0.386 0.638 √ 9 0.565 0.248 0.049 0.583 × 8 0.534 0.223 0.018 0.569 × 10 0.563 0.249 0.147 0.567 × Table 4 Principal component analysis of each dimension of the scale (n=1027) Dimension Number of factors (eigenvalue>1) Variance contribution rate (%) Item load range Biosafety event monitoring and warning abilities 1 73.593 0.762~0.887 Biosafety incident nursing disposal abilities 1 76.246 0.831~0.898 Biosafety knowledge preparedness 1 68.311 0.776~0.862 Biosafety infection protection abilities 1 69.445 0.715~0.884 Table 5 Factor load of formal scale (29 items) Factors and it’s items Factor load Factor 1 (eigenvalue 16.885 , variance contribution rate 58.224% ) 16 Possess the ability to assess biosafety incident level, radiation impact range, severity, and medical rescue response level 0.763 15 Be able to comprehensively predict and evaluate the risk of potential complications in patients with biological infections 0.755 14 Possess the ability to assess the harm of pathogenic microorganisms 0.745 12 Understand the main points and requirements of detection and screening of pathogenic microorganisms and drug-resistant bacteria 0.740 10 Ability to identify biosafety risks 0.719 9 Monitoring of microbial resistance 0.714 8 Monitoring of common symptoms in patients with biological infections 0.697 11 Understand the quarantine points and requirements of public goods, environment, medical equipment and equipment 0.697 17 Master the reporting requirements, reporting time limit, reporting content and reporting process of different types of biosafety incidents 0.688 Factor 2 (eigenvalue 2.370 , variance contribution rate 8.174% ) 27 Possess the ability to manage the personnel involved in biosafety emergency rescue, and be able to reasonably organize, allocate, coordinate, coordinate, guide and manage biosafety nursing work 0.788 29 Possess the ability to coordinate nursing collaboration between different departments in biosafety rescue 0.778 28 Possess the ability to communicate well with superiors and organizations to seek effective rescue assistance 0.775 25 Possess the ability to coordinate and manage biosafety medical relief materials 0.757 26 Master the key points of medical record management and record of patients with biological infection 0.720 24 Possess the ability of psychological adjust and psychological care for biologically infected patients and their families affected by infectious diseases and biological warfare agents 0.688 23 Possess a good ability to withstand pressure and psychological adjustment in the biosafety incident rescue 0.669 22 Possess the ability to properly transport and evacuate bio-infected patients 0.580 Factor 3 (eigenvalue 1.436 , variance contribution rate 4.950% ) 3 Be familiar with biosafety incidents involving paramedics that require paramedic involvement 0.751 2Understand relevant laws and regulations such as the Biosafety Law of the People's Republic of China, the Law of the People's Republic of China on the Prevention and Control of Infectious Diseases, and the Regulations on Biosafety Management of Pathogenic Microorganism Laboratories 0.742 5 Understand the types of pathogenic microorganisms and the transmission routes of different types of pathogenic microorganisms 0.728 1 Understand biosafety definitions, categories, hazards, and current or future potential national and international biosafety risks 0.698 6 Be familiar with the concept of antimicrobial resistance and the use of antimicrobials 0.684 4 Grasp the knowledge of care for common symptoms of patients with biological infections such as fever, chills, dizziness, headache, nausea, vomiting, diarrhea, rash, dyspnea, convulsions, and disturbance of consciousness 0.666 7 Understand the biosafety management and classification requirements of pathogenic microorganism laboratory 0.615 Factor 4 (eigenvalue 1.088 , variance contribution rate 3.751 %) 18 Master the emergency treatment process of skin and mucous membrane exposure, respiratory mucous membrane injury, sharp instrument injury and other biosafety occupational exposure and injury 0.814 21 Be able to properly handle blood, body fluids, secretions, excreta and biosafety-related medical waste from patients with biological infections 0.773 20 Strengthen nosocomial infection control to reduce the occurrence of drug-resistant bacterial infection 0.707 13 Master the correct collection methods of blood culture samples and nasopharyngeal swabs from patients with biological infection 0.631 19 Understand the vaccination of biosafety protective vaccines 0.617 Table 6 Reliability coefficient of clinical nurses’ biosafety incident response competence scale Dimension/Scale Reliability coefficient Test-retest reliability Cronbach’s α coefficient Split-half reliability Biosafety event monitoring and warning abilities 0.881 ** 0.964 0.917 Biosafety incident nursing disposal abilities 0.825 ** 0.955 0.915 Biosafety knowledge preparedness 0.843 ** 0.922 0.888 Biosafety infection protection abilities 0.696 ** 0.888 0.856 Total scale 0.840 ** 0.974 0.885 Note: ** P <0.01 Table 7 Confirmatory factor analysis model fitting values Fit indexes The Measurement model Fitting criteria c2/ df 3.640 ＜5.00 Root Mean Square Error Approximation (RMSEA) 0.072 ＜0.08 Comparative fit index (CFI) 0.940 ＞0.90 Tucker-Lewis index (TLI) 0.933 ＞0.90 Standard root mean-square residual (SRMR) 0.049 ＜0.80 Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 14 Mar, 2024 Read the published version in BMC Nursing → Version 1 posted Editorial decision: Major revision 13 Sep, 2023 Editor assigned by journal 13 Sep, 2023 Submission checks completed at journal 12 Sep, 2023 First submitted to journal 10 Sep, 2023 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3343252","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":232486787,"identity":"5af88341-1f40-4130-8348-fb901d45c900","order_by":0,"name":"Chao Wu","email":"","orcid":"","institution":"Fourth Military Medical University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Chao","middleName":"","lastName":"Wu","suffix":""},{"id":232486788,"identity":"d78b7415-6c91-4726-a5ff-cde79aaed0be","order_by":1,"name":"Hongli Zhang","email":"","orcid":"","institution":"Fourth Military Medical University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Hongli","middleName":"","lastName":"Zhang","suffix":""},{"id":232486789,"identity":"9468d301-b4da-415d-b6a6-5364ecd335db","order_by":2,"name":"Yinjuan Zhang","email":"","orcid":"","institution":"Fourth Military Medical University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Yinjuan","middleName":"","lastName":"Zhang","suffix":""},{"id":232486790,"identity":"59d42ec3-9ca1-4d2a-9b9a-b993e58f4c18","order_by":3,"name":"Mengyi Hu","email":"","orcid":"","institution":"Fourth Military Medical University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Mengyi","middleName":"","lastName":"Hu","suffix":""},{"id":232486791,"identity":"93569434-90fe-4f49-bd2c-99f63cfbbdcd","order_by":4,"name":"Yawei Lin","email":"","orcid":"","institution":"956th Hospital of the Chinese People’s Liberation Army","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Yawei","middleName":"","lastName":"Lin","suffix":""},{"id":232486792,"identity":"a4fc3731-b9ea-4744-913e-8042fb545160","order_by":5,"name":"Zhen Sa","email":"","orcid":"","institution":"People's Liberation Army 69245 Hospital","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Zhen","middleName":"","lastName":"Sa","suffix":""},{"id":232486793,"identity":"30555685-99fe-48c1-bb93-eba30799c2b8","order_by":6,"name":"Shuwen Li","email":"","orcid":"","institution":"Tangdu Hospital","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Shuwen","middleName":"","lastName":"Li","suffix":""},{"id":232486794,"identity":"a4878d91-22af-42f1-a0be-f4076f1efaff","order_by":7,"name":"Yulian Zhang","email":"","orcid":"","institution":"Shanxi Provincial People's Hospital","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Yulian","middleName":"","lastName":"Zhang","suffix":""},{"id":232486795,"identity":"d38d76e9-a5c8-4d72-bec5-932bf2b81c1a","order_by":8,"name":"Hong-juan Lang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAyElEQVRIiWNgGAWjYBACAyBmZuCx4Ydw2YjXkibZQKIWhsOkaGE/e/h1gcx5Cd1pZwwYPpQdZuCf3UBAC09emvUMntsSZrdzDBhnnDvMIHHnACGH5ZgZ8/DcrgNpYeZtO8xgIJFAQAv/G5CWc2BbmP8SpUUix/gxD88BiBZG4rS8MWPm4UkGakkrONhzLp1H4gYBLfb9OcafeXvsgFqSNz74UWYtxz+DgBYgYJNg7IGwDgAxD0H1QMD8geEHMepGwSgYBaNgxAIAgNw9B4RzJxgAAAAASUVORK5CYII=","orcid":"","institution":"Fourth Military Medical University","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Hong-juan","middleName":"","lastName":"Lang","suffix":""}],"badges":[],"createdAt":"2023-09-11 03:29:16","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3343252/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3343252/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s12912-024-01848-6","type":"published","date":"2024-03-14T15:00:42+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":43212211,"identity":"54083d61-ee4e-4968-89f6-4a1b3427d54a","added_by":"auto","created_at":"2023-09-15 18:18:38","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":161120,"visible":true,"origin":"","legend":"\u003cp\u003eThe development procedure of the biosafety incident response\u003c/p\u003e\n\u003cp\u003ecompetence scale for clinical nurses\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-3343252/v1/6f3013781440b56e00917672.png"},{"id":43212210,"identity":"7183cf73-4414-4775-92a7-d4179fe3be26","added_by":"auto","created_at":"2023-09-15 18:18:37","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":45543,"visible":true,"origin":"","legend":"\u003cp\u003eGravel plot of exploratory factor analysis for nursing staff's biosafety incident response competence scale (n=1027)\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-3343252/v1/80896d62aae9fede6afcaf48.png"},{"id":43212544,"identity":"84d7cf5b-3de1-40d0-80c6-c2c8bab806a6","added_by":"auto","created_at":"2023-09-15 18:26:38","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":151842,"visible":true,"origin":"","legend":"\u003cp\u003eStandardized 4-factor structural model of nursing staff's biosafety incident response competence scale (n=513)\u003c/p\u003e\n\u003cp\u003eNote: BEMWA= Biosafety event monitoring and warning abilities; BINDA= Biosafety incident nursing disposal abilities; BKP= Biosafety knowledge preparedness; BIPA= Biosafety infection protection abilities.\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-3343252/v1/c9f88c4d9a73bb35c5c71bfa.png"},{"id":52907698,"identity":"60727a3d-c781-44a5-95c5-b77159f331f8","added_by":"auto","created_at":"2024-03-18 15:14:20","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1726621,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3343252/v1/162dc4bc-a8e2-475d-89a2-1915aee8f8f2.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Development and validation of the biosafety incident response competence scale for clinical nursing staff","fulltext":[{"header":"1 | INTRODUCTION","content":"\u003cp\u003eWith the global climate change and increased globalization, the rapid spread of emerging infectious diseases has become a significant concern [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. Globalization has also accelerated the spread of pathogenic microorganisms and increased the pathogen transmission [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. On the other hand, biological weapons still threat humanity in infecting millions of people with a deadly disease [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e, \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. At the same time, there is still abuse of biotechnology [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. All of these pose a threat to the biosecurity of humanity. As a crucial aspect of national security, biosecurity is essential to public health, long-term stability, and sustainable development [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. Therefore, actively maintaining biosafety is of great importance.\u003c/p\u003e \u003cp\u003eWithin the medical workforce, nursing staff plays a vital role in biosafety incident prevention and response [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. Nurses with good biosafety event response capabilities can efficiently treat infected patients, contain the spread of biosafety infections, and to the largest extent minimize the disease severity. Their response competence is not only related to biosecurity threat warning, but also related to the effectiveness of the biosafety infection treatment [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. The biosafety incident response competence is of great significance to the protection of public health and social stability [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe existing tools evaluating the response capacity of health personnel to biosafety incidents involve the Epidemic Preparedness Index (EPI) issued by Metabiota and the Global Health Security Index (GHSI) issued by Johns Hopkins University [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. Researchers use EPI and GHSI to assess the response capacity to public health emergencies of infectious diseases [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. However, it is important to recognize that biosafety incidents and infectious disease incidents have both similarities and differences. Therefore, relying solely on EPI and GHSI may not accurately gauge the biosafety incident response competence of nursing staff. Thus, there is a need for a quantifiable assessment tool specifically designed to evaluate the biosafety incident response competence for clinical nursing staff. Therefore, our study compiled clinical nurses\u0026rsquo; biosafety incident response competence scale, in the hope that it could provide a scientific measure for their ability assessment, improvement, and training in responding to biosafety incidents.\u003c/p\u003e"},{"header":"2 | THE STUDY","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1 | Aims\u003c/h2\u003e \u003cp\u003eThe aim of our study was to develop the biosafety incident response competence scale and examine its validity and reliability among clinical nurses.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e2.2 | Participants and sampling\u003c/h2\u003e \u003cp\u003eWe recruited clinical nurses by convenience sampling from 7 tertiary hospitals in Shaanxi province, China, from July 2023 to August 2023. The inclusion criteria involved the clinical nurses with the nurse qualification certificate and engaged in clinical nursing work; the exclusion criteria included the nurses who were unwilling to participate in the investigation or were not on duty during the investigation. The sample size was determined by the general rule of the factor analysis [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e], which recommended an absolute sample size of at least 200 and a sample size-to-item ratio greater than 10, and a 5% sample loss rate. The first phase of the survey preliminarily explored the scale with a total of 49 items. Therefore, the sample size is N = (49 \u0026times; 10) \u0026divide; (1\u0026ndash;5%)\u0026thinsp;\u0026asymp;\u0026thinsp;516. In the second phase of the survey to further explore and evaluate the scale, there were a total of 33 items. Therefore, the sample size required for this phase is N = (33 \u0026times; 10) \u0026divide; (1\u0026ndash;5%)\u0026thinsp;\u0026asymp;\u0026thinsp;348. A total of 1712 clinical nurses (for preliminary exploration of the item) and 1027 clinical nurses (for further exploration and evaluation of the items) were finally recruited in our study.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e2.3 | Design\u003c/h2\u003e \u003cp\u003eA cross-sectional study of the development and validation of the biosafety incident response competence scale for clinical nurses was conducted from July 2023 to August 2023. It involved three stages: (1) the construction of the biosafety incident response competence conceptual model for clinical nurses, (2) the preliminary exploration of the biosafety incident response competence scale, and (3) further exploration and evaluation of the biosafety incident response competence scale. The flowchart is shown in Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cdiv id=\"Sec6\" class=\"Section3\"\u003e \u003ch2\u003e2.3.1 | The construction of the biosafety incident response competence conceptual model for clinical nurses\u003c/h2\u003e \u003cp\u003eIn the first stage, we constructed the first draft of the biosafety incident response competence conceptual model for clinical nurses by literature review, theoretical research, qualitative interviews and panel discussions. This model was composed of 4 primary indicators (Biosafety incident preparedness, Biosafety event monitoring abilities, Biosafety infection protection competence and Biosafety incident nursing abilities), 10 secondary indicators and 48 tertiary indicators.\u003c/p\u003e \u003cp\u003eSubsequently, we invited experts in the field of epidemiology, prevention medicine, military health service and nursing, experts who had experience in biosafety rescue for Delphi consultation. The inclusion criteria of consultation experts were as follows: (1) a minimum of 10 years of work experience; (2) possession of an intermediate or advanced level certificate; (3) voluntary participation in the investigation. Through two rounds of Delphi expert consultation, the index system was scored and modified. Kendall's concordance coefficient was used to assess the degree of agreement among the experts. In the two rounds of Delphi consultation, Kendall\u0026rsquo;s W test had statistical significance (P༜0.01), which means the experts were in agreement. Finally, the draft of the 49-item pool was determined.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section3\"\u003e \u003ch2\u003e2.3.2 | Preliminary exploration of the items\u003c/h2\u003e \u003cp\u003eIn the second stage, we compiled the index system into the \u0026lsquo;clinical nurses\u0026rsquo; biosafety incident response competence\u0026rsquo; pre-test scale which included 49 items through the expert meeting. Before the formal investigation, the preliminary scale was distributed to clinical nurses to ensure that the scale was easy to understand and could be used for formal investigation.\u003c/p\u003e \u003cp\u003eIn the first round of investigation, 1712 clinical nurses participated in the survey using the pre-test scale. Critical ratio, discrete trend, correlation coefficient, factor loading and Cronbach's α coefficient were adopted for item analysis [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. Through item analysis and exploratory factor analysis, we filtered the items and drafted a preliminary scale, which was composed of 4 factors and 33 items, basically consistent with the previous index system.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section3\"\u003e \u003ch2\u003e2.3.3 | Further exploration and evaluation of the items\u003c/h2\u003e \u003cp\u003eIn the third stage, we conducted the second round of questionnaire survey which included 1027 clinical nurses. Item analysis was performed to filter out the remaining 33 items and re-explore and verify the structure of the scale using exploratory factor analysis and confirmatory factor analysis. And we adopted reliability test and validity test to inspect the reliability and validity of the scale. Reliability analysis included test-retest reliability, internal consistency and split-half reliability and validity analysis included content validity and structure validity. The sample size of 1027 participants was randomly divided, with 514 questionnaires used for exploratory factor analysis and 513 questionnaires used for confirmatory factor analysis. Finally, the biosafety incident response competence scale with high reliability and validity was developed, comprising 4 dimensions and 29 items.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003e2.4 | Data collection\u003c/h2\u003e \u003cp\u003eBefore the formal investigation, the researchers received unified training on how to conduct the questionnaire survey. Then we obtained permission from their admin office of the hospital to distribute the questionnaires through email. Prior to conducting the study, written informed consent were obtained from the participants. The time of filling in the questionnaire was controlled between 5 and 10 minutes. According to voluntary principle, we recruited 1800 clinical nurses in the first round of investigation using convenient sampling method. A total of 1712 valid questionnaires were collected, with a response rate of 95.11%. In the second round of investigation, 1100 questionnaires were distributed, with 1027 valid ones collected, leading to a response rate of 93.36%.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003e2.5 | Data analysis\u003c/h2\u003e \u003cp\u003eWe analyzed the data by SPSS 26.0 and Mplus 8.3. For the critical ratio, the total score of the scale was ranked from high to low, and the relationship between the top 27% and the bottom 27% was analyzed to determine the discrimination of the scale. The standard deviation of item scores represented the degree of dispersion. When it is less than 0.85, it indicates that the item is not able to distinguish and should be deleted. The significant correlation coefficient indicates a strong correlation between the item and the scale. For the factor loading, if the total score is less than 0.4, the item needs to be deleted. And if Cronbach's α becomes larger after deleting the item, it should be deleted. For reliability analysis, we used Cronbach's α coefficient, split-half reliability and test-retest reliability [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. For validity analysis, we used content validity analysis and structure analysis, which contained exploratory factor analysis and confirmatory factor analysis [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e].\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003e2.6 | Ethics approval and consent to participate\u003c/h2\u003e \u003cp\u003eThe study was conducted in accordance with the Helsinki Declaration [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. Research was approved by the ethics committee of Air Force Medical University (KY20224143-1). Informed consent was obtained from all participants included in the study and they were assured that the questionnaires would only be used for research. They could withdraw from the study at any time for any reason.\u003c/p\u003e \u003c/div\u003e"},{"header":"3 | RESULTS","content":"\u003cp\u003e\u003cstrong\u003e3.1 |\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eCharacteristics of the participants\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn the first round of investigation, the average age of clinical nursing staff was (32.25 \u0026plusmn; 6.48) years old, with 1585 females accounting for 92.58% and 127 males accounting for 7.42%. In the second round of the survey, the average age of clinical nurses was (33.09 \u0026plusmn; 6.36) years old, with 134 males, accounting for 13.05%, and 893 females, accounting for 86.95%. Other Demographic features are shown in \u003cstrong\u003eTable 1\u003c/strong\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.2 |\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003ePreliminary exploration of the scale\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.2.1\u0026nbsp;| Item analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAs shown in \u003cstrong\u003eTable 2\u003c/strong\u003e, the results of item analysis of the 1712 questionnaires to\u0026nbsp;preliminary explore the scale\u0026nbsp;in the first round showed that the values of each item in item analysis were up to the standard and all the items were to be reserved.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.2.2 | Exploratory factor analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eBased on the item analysis, exploratory factor analysis was employed to preliminarily identify the structure of the nursing staff\u0026apos;s biosafety incident response competence scale.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eKaiser-Meyer-Olkin\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u003cem\u003e（\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u003cem\u003eKMO\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u003cem\u003e）\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u003cem\u003eanalysis\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe KMO value was 0.984, the Bartley Sphericity test was statistically significant (c\u003csup\u003e2\u003c/sup\u003e =99415.926, \u003cem\u003edf\u003c/em\u003e=1176, \u003cem\u003eP\u003c/em\u003e\u0026lt;0.001), indicating that 49 items of\u0026nbsp;nursing staff\u0026apos;s biosafety incident response competence scale had common factors and were suitable for factor analysis.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eFactor Extraction and Rotation\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003ePrincipal Component Analysis was used to extract factors and varimax was used to rotate factors to extract components with eigenvalues higher than 1. And we removed the highest factor load less than 0.4, factor load across two or more factors and the difference less than 0.2, and the number of common factors included items less than 3\u0026nbsp;[21]. According to the delete criteria, items 8, 9, 10, 14, 21, 26, 27, 31, 34, 35, 36, 37, 38, 39, 40, 41 were deleted, and 4 common factors were extracted. The cumulative contribution of variance accounted for 73.427%.\u003c/p\u003e\n\u003cp\u003eBased on the item analysis and exploratory factor analysis, a preliminary scale of nursing staff\u0026apos;s biosafety incident response competence was developed, which includes 4 factors and 33 items. 4 factors were named\u0026nbsp;at the group meeting as follows: biosafety knowledge preparedness, biosafety event monitoring and warning abilities, biosafety infection protection abilities and biosafety incident nursing disposal abilities, as shown in \u003cstrong\u003eTable 3\u003c/strong\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.3\u0026nbsp;| Further exploration and evaluation of the\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003escale\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.3.1\u0026nbsp;| Item analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis section used the same method for item analysis. The results showed that item 21 met the deletion criteria and was intended to be deleted after discussion by the research group, and other items were to be reserved.\u0026nbsp;As shown in \u003cstrong\u003eTable 2\u003c/strong\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.3.2\u0026nbsp;| Exploration of Scale Structure\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eOn the basis of item analysis, we further explored the structure of the scale. The gravel plot of exploratory factor analysis shows that the scale exhibits inflection points between components 3~5. Based on the initial structure of the conceptual model, a 4-factor model was preliminarily extracted, as shown in \u003cstrong\u003eFigure 2\u003c/strong\u003e.\u003c/p\u003e\n\u003cp\u003eThe results of principal component analysis of each dimension revealed that among the factors of each dimension, only one had an eigenvalue greater than 1. The variance contribution rates ranged from 68.311% to 76.246%, and the load value of each dimension item was greater than 0.4, as shown\u0026nbsp;in \u003cstrong\u003eTable 4\u003c/strong\u003e.\u003c/p\u003e\n\u003cp\u003e514 questionnaires were randomly selected from the 1027 questionnaires, and exploratory factors were analyzed by principal component analysis. Bartlett sphericity test yielded a value of 16383.411, and the KMO test value was 0.970 (\u003cem\u003eP\u003c/em\u003e\u0026lt;0.01). The results showed that the eigenvalues of the 4 factors were 17.925, 2.798, 1.491 and 1.128, and the variance contribution rates were 56.015%, 8.744%, 4.658% and 3.524%. The cumulative contribution of variance rate was 72.941%. However, items 9 \u0026quot; Regularly participate in the education of biosafety-related science knowledge \u0026quot;, 8 \u0026quot; Regularly participate in biosafety medical rescue exercises and training and joint military and civilian rescue exercises to deal with emergencies \u0026quot;, and 10 \u0026quot; Regularly pay attention to the biosafety frontier, and regularly participate in the training of biosafety nursing skills \u0026quot; were classified as the first common factor, belonging to the same category as items 19, 18, 17, 15, 12, 11, 13, 14, and 20, considering that common factor 1 corresponds to the model\u0026apos;s \u0026quot;monitoring and warning ability\u0026quot;. Considering that items 8, 9, and 10 do not belong to the same category as factor 1, \u0026apos;Biosafety event monitoring and warning abilities\u0026apos;, the research group deleted items 8-10 after discussion.\u003c/p\u003e\n\u003cp\u003eOn the basis of preliminary exploratory factor analysis, the scale included 4 dimensions and 29 items. We conducted exploratory factor analysis again. We randomly selected 514 questionnaires from 1027 valid questionnaires for exploratory factor analysis. The results showed that the Bartlett sphericity test value of the scale was 30410.372, and the KMO test value was 0.973 (\u003cem\u003eP\u003c/em\u003e\u0026lt;0.01). The characteristic values of the four factors are 16.885, 2.370, 1.436, and 1.088, respectively, with variance contribution rates of 58.224%, 8.174%, 4.950%, and 3.751%, and cumulative variance contribution rate of 75.100%. The cumulative variance contribution rate had been improved compared to the preliminary exploratory factor analysis, and the items included in the 4 factors conform to the theoretical model, as\u0026nbsp;shown in \u003cstrong\u003eTable 5\u003c/strong\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.3.3\u0026nbsp;| Reliability analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe scale and its 4 dimensions demonstrated good reliability. The overall internal consistency was 0.974, and that of each dimension ranged from 0.888 to 0.964. The total split-half reliability was 0.885, and of each dimension ranged from 0.856 to 0.917. To ensure comparability, we randomly selected 10% of the nursing staff and labeled them, and compared the selected nursing staff with the general nurses in Demography data, the difference was not significant (\u003cem\u003eP\u003c/em\u003e\u0026gt;0.05), indicating that the samples were comparable with the general samples. A questionnaire study was conducted on these 10% of nursing staff who were re-distributed the scale again after a 2 weeks interval. The results showed that the total retest reliability of the scale was 0.840, and the retest reliability of each dimension was 0.696~0.881. As shown in \u003cstrong\u003eTable 6.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.3.4\u0026nbsp;| Validity analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eContent validity\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e15 experts in the field of biosafety were invited to evaluate the content validity of the scale. The results showed that the I-CVI was 0.800~0.933, and S-CVI was 0.866.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eStructure validity\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe remaining 513 questionnaires in the second round of investigation were selected for confirmatory factor analysis. The 4-factor model was fitted by the maximum likelihood estimation method. The fitting indexes were shown in \u003cstrong\u003eTable 7\u003c/strong\u003e, and the standard factor load model formed by confirmatory\u0026nbsp;factor analysis was shown in \u003cstrong\u003eFigure 3\u003c/strong\u003e. The factor load of each item was greater than 0.40, and all items had statistical significance (\u003cem\u003eP\u003c/em\u003e\u0026lt;0.05), indicating that the questionnaire had good structural validity.\u003c/p\u003e"},{"header":"4 | DISCUSSION","content":"\u003cdiv id=\"Sec23\" class=\"Section2\"\u003e \u003ch2\u003e4.1 | The significance and innovation of the scale\u003c/h2\u003e \u003cp\u003eIndeed, the world is currently facing various biosecurity threats, including emerging infectious diseases, bioterrorism attacks, and the potential use of biological weapons [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. The frequent occurrence of public health emergencies and safety incidents such as COVID-19 and other emerging infectious diseases have highlighted the importance of biosafety [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. With the increased safety risks due to the misuse and abuse of new dual-use biotechnology, global attention to biosafety issues has been unprecedented [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e]. The outbreak and handling of the COVID-19 pandemic have revealed weaknesses in early monitoring and warning systems for infectious disease outbreaks [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e, \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]. As one of the members of the medical team, the ability of nursing staff to respond to biosafety incidents is related to the response and disposal of biosafety threats. Therefore, it is urgent to clarify and enhance clinical nurses\u0026rsquo; biosafety incident response competence. However, there is a lack of specialized evaluation tools for the ability of nursing staff to respond to biosafety events, as well as a lack of investigation into the ability of clinical nursing staff to respond to biosafety events. Therefore, it is urgent to develop a scale for the ability of nursing staff to respond to biosafety events, in order to clarify the current situation of nursing staff's biosafety event response ability, identify existing shortcomings, and provide reference for improving their biosafety event response ability in the future.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec24\" class=\"Section2\"\u003e \u003ch2\u003e4.2 | The scientificity of the scale\u003c/h2\u003e \u003cp\u003eThe development of the biosafety incident response competence scale for clinical nurses followed a scientific appraoch. A conceptual model was constructed based on literature review, qualitative interviews, group meetings, and Delphi consultation. The research group used the Classic Test Theory (CTT) as a guide to screen items using critical ratio, discrete trend, correlation coefficient, factor loading and Cronbach's α coefficient [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. On the basis of the conceptual model, the items of the scale were screened through two rounds of questionnaire surveys, the structure of the scale was explored, and the reliability and validity of the scale were tested. The final scale consisted of 4 dimensions and 29 items, which had good reliability and validity. The cumulative variance contribution rate of the 4 factors in the scale is 72.941%, indicating that the 4 factors could explain the difference in biosafety incident response competence of clinical nurses to the extent of 72.941%.\u003c/p\u003e \u003cp\u003eThe reliability and validity test of the scale shows that it has good reliability and validity, which also reflects the scientific process of scale development. Reliability analysis refers to the consistency, stability, and reliability of test results [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e]. Validity analysis refers to the validity of the results, that is, the consistency between the measurement results and the content to be examined [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]. The results of our study showed that the internal consistency, split-half reliability, and retest reliability of the scale all reached good levels. The expert score of Content validity was also high, and the 4-factor model of confirmatory factor analysis in structural validity was well fitted, which indicated that the scale developed was scientific and reasonable.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec25\" class=\"Section2\"\u003e \u003ch2\u003e4.3 | The content of the scale\u003c/h2\u003e \u003cp\u003eClinical nurses\u0026rsquo; biosafety incident response competence scale developed in our study comprises 4 dimensions, namely, biosafety event monitoring and warning abilities (12 items), biosafety incident nursing disposal abilities (8 items), biosafety knowledge preparedness (7 items), and biosafety infection protection abilities (5 items). The scale adopts Likert's 5-level scoring method, with higher scores indicating a higher level of nursing staff's biosafety incident response competence. Nursing staff work on the clinical front line and have direct contacts with patients. They are not only \"sentries\" who discover dangerous situations, but also the first \"shield\" to deal with threats [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e]. However, existing research shows that caregivers lack preparedness when dealing with emergencies and disasters [\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e]. Therefore, they should master the knowledge of biosafety, especially in the specialty of biosafety nursing. Currently, biosafety has become an important component of national security, and everyone needs to basically acquire biosafety knowledge [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e, \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e]. As crucial participants in managing biosafety incidents, nursing staff should possess systematic knowledge of biosafety to effectively respond to such threats [\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e]. In the event of a biosafety incident, nursing staff with proficient nursing disposal abilities can swiftly carry out rescue operations, aiding in disease containment and promoting patient recovery [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e]. Due to the fact that most biosafety incidents can be contagious, nursing staff also need to prioritize self-protection during rescue operations and maintain a strong preventive mindset [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]. The dimensions of the scale and the abilities in the items cover each stage of nursing staff's biosafety event rescue, with detailed content that can comprehensively assess their biosafety event response competence. This scale can serve as a valuable tool for assessing, evaluating, and training nursing staff in biosafety event response.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec26\" class=\"Section2\"\u003e \u003ch2\u003e4.4 | Limitations\u003c/h2\u003e \u003cp\u003eIn our study, we didn't conduct cross-group measurement invariance analysis on nurses in different levels of hospitals and departments. So, it is not clear whether there were differences in the application in different groups with distinct characteristic. This limitation highlights an area for further investigation. We will analyze the invariance of cross-group measurement and figure out the differences in its application in different groups.\u003c/p\u003e \u003c/div\u003e"},{"header":"5 | CONCLUSION","content":"\u003cp\u003eOur study successfully developed a biosafety incident response competence scale for clinical nurses through scientific methods, which includes 4 dimensions, namely, biosafety event monitoring and warning abilities (12 items), biosafety incident nursing disposal abilities (8 items), biosafety knowledge preparedness (7 items), and biosafety infection protection abilities (5 items). The scale adopts Likert's 5-level scoring method and presents satisfactory reliability and validity. It can be adopted to evaluate the biosafety incident response abilities of clinical nurses.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eACKNOWLEDGEMENTS\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe extend our gratitude to 2739 nurses for their support and cooperation.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAUTHOR CONTRIUTIONS\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eCW, HLZ and YJZ contributed to the research design, data analysis and writing of the paper. MYH and YWL distributed and withdrew the questionnaires. ZS was in charge of writing the paper and verifying the English version. SWL and YLZ were responsible for analyzing the data while HJL was for designing the research and providing guidance from the perspective of statistics. All authors have read and approved the manuscript.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFUNDING\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eConstruction of a Virtual Simulation Training Platform for Nursing Rescue under the Background of Biosafety Defense (145AHQ080005002X).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAVAILABILITY OF DATA\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets generated and analyzed during the current study are not publicly available due to the protection of the privacy of clinical nurses but are available from the corresponding author ([email protected]) on reasonable request.\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCONSENT FOR PUBLICATION\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCOMPETING INTERESTS\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNo potential conflict of interest was reported by the authors.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eEllwanger JH, Kaminski VL, Chies JAB: \u003cstrong\u003eEmerging infectious disease prevention: Where should we invest our resources and efforts?\u003c/strong\u003e \u003cem\u003eJournal of infection and public health \u003c/em\u003e2019, \u003cstrong\u003e12\u003c/strong\u003e(3):313-316.\u003c/li\u003e\n\u003cli\u003eBaddal B: \u003cstrong\u003eEditorial: Emerging technologies in infectious disease treatment, prevention and control\u003c/strong\u003e. \u003cem\u003eFrontiers in cellular and infection microbiology \u003c/em\u003e2022, \u003cstrong\u003e12\u003c/strong\u003e:1096998.\u003c/li\u003e\n\u003cli\u003eSemenza JC, Rockl\u0026ouml;v J, Ebi KL: \u003cstrong\u003eClimate Change and Cascading Risks from Infectious Disease\u003c/strong\u003e. \u003cem\u003eInfectious diseases and therapy \u003c/em\u003e2022, \u003cstrong\u003e11\u003c/strong\u003e(4):1371-1390.\u003c/li\u003e\n\u003cli\u003eGronvall GK, Wang L, McGrath PF, Cicero AJ, Yuan Y, Parker MI, Zhang W, Sun Y, Xue Y, Zhang J\u003cem\u003e et al\u003c/em\u003e: \u003cstrong\u003eThe Biological Weapons Convention should endorse the Tianjin Biosecurity Guidelines for Codes of Conduct\u003c/strong\u003e. \u003cem\u003eTrends in microbiology \u003c/em\u003e2022, \u003cstrong\u003e30\u003c/strong\u003e(12):1119-1120.\u003c/li\u003e\n\u003cli\u003ePohanka M: \u003cstrong\u003eImmunosensors for Assay of Toxic Biological Warfare Agents\u003c/strong\u003e. \u003cem\u003eBiosensors \u003c/em\u003e2023, \u003cstrong\u003e13\u003c/strong\u003e(3).\u003c/li\u003e\n\u003cli\u003eMcCarty NS, Ledesma-Amaro R: \u003cstrong\u003eSynthetic Biology Tools to Engineer Microbial Communities for Biotechnology\u003c/strong\u003e. \u003cem\u003eTrends in biotechnology \u003c/em\u003e2019, \u003cstrong\u003e37\u003c/strong\u003e(2):181-197.\u003c/li\u003e\n\u003cli\u003eHao R, Liu Y, Shen W, Zhao R, Jiang B, Song H, Yan M, Ma H: \u003cstrong\u003eSurveillance of emerging infectious diseases for biosecurity\u003c/strong\u003e. \u003cem\u003eScience China Life sciences \u003c/em\u003e2022, \u003cstrong\u003e65\u003c/strong\u003e(8):1504-1516.\u003c/li\u003e\n\u003cli\u003eKinlay SH, Whiting J, Audain P, Conrad P, Kulma A, Agus MSD, Sandora TJ: \u003cstrong\u003eNovel Deployment of Pediatric Biocontainment Unit Nurses in Response to COVID-19\u003c/strong\u003e. \u003cem\u003eThe American journal of nursing \u003c/em\u003e2021, \u003cstrong\u003e121\u003c/strong\u003e(11):53-58.\u003c/li\u003e\n\u003cli\u003eWu C, Wu P, Li P, Cheng F, Du Y, He S, Lang H: \u003cstrong\u003eConstruction of an index system of core competence assessment for infectious disease specialist nurse in China: a Delphi study\u003c/strong\u003e. \u003cem\u003eBMC infectious diseases \u003c/em\u003e2021, \u003cstrong\u003e21\u003c/strong\u003e(1):791.\u003c/li\u003e\n\u003cli\u003eSaseedharan S, Karanam R, Kadam V, Shirsekar S: \u003cstrong\u003eSmart secretion management to protect nurses from COVID19 and other infectious diseases\u003c/strong\u003e. \u003cem\u003eNursing in critical care \u003c/em\u003e2022, \u003cstrong\u003e27\u003c/strong\u003e(5):706-710.\u003c/li\u003e\n\u003cli\u003eBajjou T, Ennibi K, Amine IL, Mahassine F, Sekhsokh Y, Gentry-Weeks C: \u003cstrong\u003eRole of Training and Experience in Biosafety Practices Among Nurses Working in Level 2 or 3 Patient Containment\u003c/strong\u003e. \u003cem\u003eApplied biosafety : journal of the American Biological Safety Association \u003c/em\u003e2020, \u003cstrong\u003e25\u003c/strong\u003e(2):96-103.\u003c/li\u003e\n\u003cli\u003eOppenheim B, Gallivan M, Madhav NK, Brown N, Serhiyenko V, Wolfe ND, Ayscue P: \u003cstrong\u003eAssessing global preparedness for the next pandemic: development and application of an Epidemic Preparedness Index\u003c/strong\u003e. \u003cem\u003eBMJ global health \u003c/em\u003e2019, \u003cstrong\u003e4\u003c/strong\u003e(1):e001157.\u003c/li\u003e\n\u003cli\u003eRavi SJ, Warmbrod KL, Mullen L, Meyer D, Cameron E, Bell J, Bapat P, Paterra M, Machalaba C, Nath I\u003cem\u003e et al\u003c/em\u003e: \u003cstrong\u003eThe value proposition of the Global Health Security Index\u003c/strong\u003e. \u003cem\u003eBMJ global health \u003c/em\u003e2020, \u003cstrong\u003e5\u003c/strong\u003e(10).\u003c/li\u003e\n\u003cli\u003eZhang XX, Liu JS, Han LF, Xia S, Li SZ, Li OY, Kassegne K, Li M, Yin K, Hu QQ\u003cem\u003e et al\u003c/em\u003e: \u003cstrong\u003eTowards a global One Health index: a potential assessment tool for One Health performance\u003c/strong\u003e. \u003cem\u003eInfectious diseases of poverty \u003c/em\u003e2022, \u003cstrong\u003e11\u003c/strong\u003e(1):57.\u003c/li\u003e\n\u003cli\u003eKhalifa BA, Abbey EJ, Ayeh SK, Yusuf HE, R DN, Osuji N, Khan S, Nosakhare E, Oduwole MO, Salia EL\u003cem\u003e et al\u003c/em\u003e: \u003cstrong\u003eThe Global Health Security Index is not predictive of vaccine rollout responses among OECD countries\u003c/strong\u003e. \u003cem\u003eInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases \u003c/em\u003e2021, \u003cstrong\u003e113\u003c/strong\u003e:7-11.\u003c/li\u003e\n\u003cli\u003eYang Z, Wang H, Wang A: \u003cstrong\u003eDevelopment and validation of the advance care planning practice preference scale for clinical nurses\u003c/strong\u003e. \u003cem\u003eJournal of advanced nursing \u003c/em\u003e2023, \u003cstrong\u003e79\u003c/strong\u003e(7):2695-2708.\u003c/li\u003e\n\u003cli\u003eWu C, Yan J, Wu J, Wu P, Cheng F, Du L, Du Y, Lei S, Lang H: \u003cstrong\u003eDevelopment, reliability and validity of infectious disease specialist Nurse\u0026apos;s Core competence scale\u003c/strong\u003e. \u003cem\u003eBMC nursing \u003c/em\u003e2021, \u003cstrong\u003e20\u003c/strong\u003e(1):231.\u003c/li\u003e\n\u003cli\u003ePronk T, Molenaar D, Wiers RW, Murre J: \u003cstrong\u003eMethods to split cognitive task data for estimating split-half reliability: A comprehensive review and systematic assessment\u003c/strong\u003e. \u003cem\u003ePsychonomic bulletin \u0026amp; review \u003c/em\u003e2022, \u003cstrong\u003e29\u003c/strong\u003e(1):44-54.\u003c/li\u003e\n\u003cli\u003eZhang S, Zang X, Zhang F: \u003cstrong\u003eDevelopment and Validation of the Win-Win Scale\u003c/strong\u003e. \u003cem\u003eFront Psychol \u003c/em\u003e2021, \u003cstrong\u003e12\u003c/strong\u003e:657015.\u003c/li\u003e\n\u003cli\u003eBallantyne A, Eriksson S: \u003cstrong\u003eResearch ethics revised: The new CIOMS guidelines and the World Medical Association Declaration of Helsinki in context\u003c/strong\u003e. \u003cem\u003eBioethics \u003c/em\u003e2019, \u003cstrong\u003e33\u003c/strong\u003e(3):310-311.\u003c/li\u003e\n\u003cli\u003eMatsumura K, Hamazaki K, Tsuchida A, Kasamatsu H, Inadera H: \u003cstrong\u003eFactor structure of the Edinburgh Postnatal Depression Scale in the Japan Environment and Children\u0026apos;s Study\u003c/strong\u003e. \u003cem\u003eScientific reports \u003c/em\u003e2020, \u003cstrong\u003e10\u003c/strong\u003e(1):11647.\u003c/li\u003e\n\u003cli\u003eCummings CL, Volk KM, Ulanova AA, Lam D, Ng PR: \u003cstrong\u003eEmerging Biosecurity Threats and Responses: A Review of Published and Gray Literature\u003c/strong\u003e. In: \u003cem\u003eEmerging Threats of Synthetic Biology and Biotechnology: Addressing Security and Resilience Issues.\u003c/em\u003e edn. Edited by Trump BD, Florin MV, Perkins E, Linkov I. Dordrecht (DE): Springer Copyright 2021, The Author(s). 2021: 13-36.\u003c/li\u003e\n\u003cli\u003ePilkington EH, Suys EJA, Trevaskis NL, Wheatley AK, Zukancic D, Algarni A, Al-Wassiti H, Davis TP, Pouton CW, Kent SJ\u003cem\u003e et al\u003c/em\u003e: \u003cstrong\u003eFrom influenza to COVID-19: Lipid nanoparticle mRNA vaccines at the frontiers of infectious diseases\u003c/strong\u003e. \u003cem\u003eActa biomaterialia \u003c/em\u003e2021, \u003cstrong\u003e131\u003c/strong\u003e:16-40.\u003c/li\u003e\n\u003cli\u003eVolk KM, Gering TJ: \u003cstrong\u003ePredicting Biosecurity Threats: Deployment and Detection of Biological Weapons\u003c/strong\u003e. In: \u003cem\u003eEmerging Threats of Synthetic Biology and Biotechnology: Addressing Security and Resilience Issues.\u003c/em\u003e edn. Edited by Trump BD, Florin MV, Perkins E, Linkov I. Dordrecht (DE): Springer Copyright 2021, The Author(s). 2021: 195-207.\u003c/li\u003e\n\u003cli\u003eZhu Y, Oishi W, Maruo C, Saito M, Chen R, Kitajima M, Sano D: \u003cstrong\u003eEarly warning of COVID-19 via wastewater-based epidemiology: potential and bottlenecks\u003c/strong\u003e. \u003cem\u003eThe Science of the total environment \u003c/em\u003e2021, \u003cstrong\u003e767\u003c/strong\u003e:145124.\u003c/li\u003e\n\u003cli\u003eStow D, Barker RO, Matthews FE, Hanratty B: \u003cstrong\u003eNational Early Warning Scores and COVID-19 deaths in care homes: an ecological time-series study\u003c/strong\u003e. \u003cem\u003eBMJ open \u003c/em\u003e2021, \u003cstrong\u003e11\u003c/strong\u003e(9):e045579.\u003c/li\u003e\n\u003cli\u003eLee MK, Peipert JD, Cella D, Yost KJ, Eton DT, Novotny PJ, Sloan JA, Dueck AC: \u003cstrong\u003eIdentifying meaningful change on PROMIS short forms in cancer patients: a comparison of item response theory and classic test theory frameworks\u003c/strong\u003e. \u003cem\u003eQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation \u003c/em\u003e2023, \u003cstrong\u003e32\u003c/strong\u003e(5):1355-1367.\u003c/li\u003e\n\u003cli\u003eKeyworth C, Epton T, Goldthorpe J, Calam R, Armitage CJ: \u003cstrong\u003eAcceptability, reliability, and validity of a brief measure of capabilities, opportunities, and motivations (\u0026quot;COM-B\u0026quot;)\u003c/strong\u003e. \u003cem\u003eBritish journal of health psychology \u003c/em\u003e2020, \u003cstrong\u003e25\u003c/strong\u003e(3):474-501.\u003c/li\u003e\n\u003cli\u003eTanrıverdi E, Nas MA, Kaşali K, Layık ME, El-Aty AMA: \u003cstrong\u003eValidity and reliability of the Professionalism Assessment Scale in Turkish medical students\u003c/strong\u003e. \u003cem\u003ePloS one \u003c/em\u003e2023, \u003cstrong\u003e18\u003c/strong\u003e(1):e0281000.\u003c/li\u003e\n\u003cli\u003eNiraula A, Gelal B, Lamsal M: \u003cstrong\u003eApproach to Sample Collection, Transport and Processing of Suspected or Confirmed COVID-19 Patients for Biochemistry Investigations\u003c/strong\u003e. \u003cem\u003eJNMA; journal of the Nepal Medical Association \u003c/em\u003e2020, \u003cstrong\u003e58\u003c/strong\u003e(232):1107-1111.\u003c/li\u003e\n\u003cli\u003eWang Y, Liu Y, Yu M, Wang H, Peng C, Zhang P, Nian X, Jia Q, Li C: \u003cstrong\u003eDisaster Preparedness Among Nurses in China: A Cross-Sectional Study\u003c/strong\u003e. \u003cem\u003eThe journal of nursing research : JNR \u003c/em\u003e2023, \u003cstrong\u003e31\u003c/strong\u003e(1):e255.\u003c/li\u003e\n\u003cli\u003eZhou D, Song H, Wang J, Li Z, Xu S, Ji X, Hou X, Xu J: \u003cstrong\u003eBiosafety and biosecurity\u003c/strong\u003e. \u003cem\u003eJournal of biosafety and biosecurity \u003c/em\u003e2019, \u003cstrong\u003e1\u003c/strong\u003e(1):15-18.\u003c/li\u003e\n\u003cli\u003eAli Al Shehri S, Al-Sulaiman AM, Azmi S, Alshehri SS: \u003cstrong\u003eBio-safety and bio-security: A major global concern for ongoing COVID-19 pandemic\u003c/strong\u003e. \u003cem\u003eSaudi journal of biological sciences \u003c/em\u003e2022, \u003cstrong\u003e29\u003c/strong\u003e(1):132-139.\u003c/li\u003e\n\u003cli\u003eFryk JJ, Tong S, Marshall C, Rajkhowa A, Buising K, MacIsaac C, Walsham N, Thevarajan I: \u003cstrong\u003eKnowledge, attitudes and practices of healthcare workers within an Australian tertiary hospital to managing high-consequence infectious diseases\u003c/strong\u003e. \u003cem\u003eInfection, disease \u0026amp; health \u003c/em\u003e2021, \u003cstrong\u003e26\u003c/strong\u003e(2):95-103.\u003c/li\u003e\n\u003cli\u003eChen CC, Chi CY: \u003cstrong\u003eBiosafety in the preparation and processing of cytology specimens with potential coronavirus (COVID-19) infection: Perspectives from Taiwan\u003c/strong\u003e. \u003cem\u003eCancer cytopathology \u003c/em\u003e2020, \u003cstrong\u003e128\u003c/strong\u003e(5):309-316.\u003c/li\u003e\n\u003cli\u003eHuang LH, Chen CM, Chen SF, Wang HH: \u003cstrong\u003eRoles of nurses and National Nurses Associations in combating COVID-19: Taiwan experience\u003c/strong\u003e. \u003cem\u003eInternational nursing review \u003c/em\u003e2020, \u003cstrong\u003e67\u003c/strong\u003e(3):318-322.\u003c/li\u003e\n\u003cli\u003eHofmeyer A, Taylor R: \u003cstrong\u003eStrategies and resources for nurse leaders to use to lead with empathy and prudence so they understand and address sources of anxiety among nurses practising in the era of COVID-19\u003c/strong\u003e. \u003cem\u003eJournal of clinical nursing \u003c/em\u003e2021, \u003cstrong\u003e30\u003c/strong\u003e(1-2):298-305.\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"548\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"5\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable 1 General demographic data. N, number\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.24817518248175%\" rowspan=\"2\"\u003e\n \u003cp\u003eCharacteristics\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.554744525547445%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eThe first round of investigation (n=1712)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.197080291970803%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eThe second round of investigation (n=1027)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"27.331189710610932%\" valign=\"top\"\u003e\n \u003cp\u003eN\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.221864951768488%\" valign=\"top\"\u003e\n \u003cp\u003e%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.331189710610932%\" valign=\"top\"\u003e\n \u003cp\u003eN\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.115755627009648%\" valign=\"top\"\u003e\n \u003cp\u003e%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"5\" valign=\"top\"\u003e\n \u003cp\u003eAge (years)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.24817518248175%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e602\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.043795620437956%\"\u003e\n \u003cp\u003e35.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e440\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686131386861314%\"\u003e\n \u003cp\u003e42.84\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.24817518248175%\" valign=\"top\"\u003e\n \u003cp\u003e30~40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e942\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.043795620437956%\"\u003e\n \u003cp\u003e55.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e458\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686131386861314%\"\u003e\n \u003cp\u003e44.60\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.24817518248175%\" valign=\"top\"\u003e\n \u003cp\u003e41~50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e131\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.043795620437956%\"\u003e\n \u003cp\u003e7.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e105\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686131386861314%\"\u003e\n \u003cp\u003e10.22\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.24817518248175%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026gt;50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.043795620437956%\"\u003e\n \u003cp\u003e2.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686131386861314%\"\u003e\n \u003cp\u003e2.34\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"5\" valign=\"top\"\u003e\n \u003cp\u003eSex\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.24817518248175%\" valign=\"top\"\u003e\n \u003cp\u003eFemale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e1585\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.043795620437956%\"\u003e\n \u003cp\u003e92.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e893\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686131386861314%\"\u003e\n \u003cp\u003e86.95\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.24817518248175%\" valign=\"top\"\u003e\n \u003cp\u003eMale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e127\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.043795620437956%\"\u003e\n \u003cp\u003e7.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e134\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686131386861314%\"\u003e\n \u003cp\u003e13.05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"5\" valign=\"top\"\u003e\n \u003cp\u003eWork experience in clinical nursing (years)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.24817518248175%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e457\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.043795620437956%\"\u003e\n \u003cp\u003e26.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e324\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686131386861314%\"\u003e\n \u003cp\u003e31.55\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.24817518248175%\" valign=\"top\"\u003e\n \u003cp\u003e5~10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e670\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.043795620437956%\"\u003e\n \u003cp\u003e39.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e421\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686131386861314%\"\u003e\n \u003cp\u003e40.99\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.24817518248175%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026gt;10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e585\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.043795620437956%\"\u003e\n \u003cp\u003e34.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e282\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686131386861314%\"\u003e\n \u003cp\u003e27.46\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"5\" valign=\"top\"\u003e\n \u003cp\u003eTitle\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.24817518248175%\" valign=\"top\"\u003e\n \u003cp\u003eNurse\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e920\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.043795620437956%\"\u003e\n \u003cp\u003e53.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e628\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686131386861314%\"\u003e\n \u003cp\u003e61.15\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.24817518248175%\" valign=\"top\"\u003e\n \u003cp\u003eNurse in charge\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e755\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.043795620437956%\"\u003e\n \u003cp\u003e44.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e385\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686131386861314%\"\u003e\n \u003cp\u003e37.49\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.24817518248175%\" valign=\"top\"\u003e\n \u003cp\u003eDeputy chief nurse or above\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.043795620437956%\"\u003e\n \u003cp\u003e2.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686131386861314%\"\u003e\n \u003cp\u003e1.36\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"5\" valign=\"top\"\u003e\n \u003cp\u003eEducational background\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.24817518248175%\" valign=\"top\"\u003e\n \u003cp\u003eBelow bachelor degree\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e116\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.043795620437956%\"\u003e\n \u003cp\u003e6.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e173\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686131386861314%\"\u003e\n \u003cp\u003e16.85\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.24817518248175%\" valign=\"top\"\u003e\n \u003cp\u003eBachelor degree\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e1574\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.043795620437956%\"\u003e\n \u003cp\u003e91.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e839\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686131386861314%\"\u003e\n \u003cp\u003e81.69\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.24817518248175%\" valign=\"top\"\u003e\n \u003cp\u003eMaster\u0026apos;s degree or above\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.043795620437956%\"\u003e\n \u003cp\u003e1.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686131386861314%\"\u003e\n \u003cp\u003e1.46\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"5\" valign=\"top\"\u003e\n \u003cp\u003eDepartment\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.24817518248175%\" valign=\"top\"\u003e\n \u003cp\u003eDepartment of Infectious Diseases\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e248\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.043795620437956%\"\u003e\n \u003cp\u003e14.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e156\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686131386861314%\"\u003e\n \u003cp\u003e15.19\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.24817518248175%\" valign=\"top\"\u003e\n \u003cp\u003eNon-infectious department\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e1464\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.043795620437956%\"\u003e\n \u003cp\u003e85.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e871\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686131386861314%\"\u003e\n \u003cp\u003e84.81\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.24817518248175%\" valign=\"top\"\u003e\n \u003cp\u003ePositions\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.043795620437956%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686131386861314%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.24817518248175%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Nurses\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e1649\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.043795620437956%\"\u003e\n \u003cp\u003e96.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e996\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686131386861314%\"\u003e\n \u003cp\u003e96.98\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.24817518248175%\" valign=\"top\"\u003e\n \u003cp\u003eHead nurses\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.043795620437956%\"\u003e\n \u003cp\u003e3.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686131386861314%\"\u003e\n \u003cp\u003e3.02\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"5\" valign=\"top\"\u003e\n \u003cp\u003eMarital status\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.24817518248175%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Unmarried\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e494\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.043795620437956%\"\u003e\n \u003cp\u003e28.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e453\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686131386861314%\"\u003e\n \u003cp\u003e44.11\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.24817518248175%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Married\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e1200\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.043795620437956%\"\u003e\n \u003cp\u003e70.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e562\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686131386861314%\"\u003e\n \u003cp\u003e54.72\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.24817518248175%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Divorce or bereavement\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.043795620437956%\"\u003e\n \u003cp\u003e1.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.510948905109489%\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686131386861314%\"\u003e\n \u003cp\u003e1.17\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2\u0026nbsp;\u003c/strong\u003eThe item analysis for clinical nurses\u0026rsquo; biosafety incident response competence scale\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"973\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.830421377183967%\" rowspan=\"2\"\u003e\n \u003cp\u003eItem\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"44.707091469681394%\" colspan=\"6\"\u003e\n \u003cp\u003eThe first round of investigation (n=1712)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.830421377183967%\" rowspan=\"2\"\u003e\n \u003cp\u003eItem\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"45.632065775950664%\" colspan=\"6\"\u003e\n \u003cp\u003eThe second round of investigation (n=1027)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"7.517084282460137%\"\u003e\n \u003cp\u003eCritical ratio\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.517084282460137%\"\u003e\n \u003cp\u003eDiscrete trend\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.681093394077449%\"\u003e\n \u003cp\u003eCorrelation coefficient\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.517084282460137%\"\u003e\n \u003cp\u003eFactor loading\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.681093394077449%\"\u003e\n \u003cp\u003eCronbach\u0026apos;s\u0026nbsp;a\u0026nbsp;coefficient\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.517084282460137%\"\u003e\n \u003cp\u003eRetained\u003c/p\u003e\n \u003cp\u003eitem\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.517084282460137%\"\u003e\n \u003cp\u003eCritical ratio\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.656036446469248%\"\u003e\n \u003cp\u003eDiscrete trend\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.681093394077449%\"\u003e\n \u003cp\u003eCorrelation coefficient\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.517084282460137%\"\u003e\n \u003cp\u003eFactor loading\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.681093394077449%\"\u003e\n \u003cp\u003eCronbach\u0026apos;s\u0026nbsp;a\u0026nbsp;coefficient\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.517084282460137%\"\u003e\n \u003cp\u003eRetained\u003c/p\u003e\n \u003cp\u003eitem\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e25.115\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.925\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.611\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.611\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e22.500\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.928\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.657\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.631\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e27.510\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.916\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.643\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.643\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e22.587\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.932\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.681\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.677\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e29.896\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.926\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.686\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.686\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e26.847\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.938\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.714\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.712\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e25.832\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.882\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.623\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.623\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e21.253\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.868\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.657\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.645\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e32.128\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.876\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.730\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.730\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e26.471\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.869\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.726\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.723\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e34.379\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.896\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.738\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.738\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e27.007\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.900\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.740\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.730\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e37.160\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.947\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.757\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.757\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e29.541\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.967\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.765\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.743\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e33.735\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.711\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.711\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e23.262\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e1.034\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.661\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.672\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e35.179\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.969\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.754\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.754\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e27.502\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e1.026\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.738\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.759\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e39.807\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.963\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.786\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.786\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e27.979\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.991\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.752\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.718\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e26.732\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e1.051\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.624\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.624\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e32.277\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.968\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.814\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.757\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.974\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e31.346\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e1.019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.704\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.704\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e32.657\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.815\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.775\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.974\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e31.358\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.977\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.736\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.736\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e34.689\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.952\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.826\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.775\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.974\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e27.167\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.945\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.678\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.678\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e34.981\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.965\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.823\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.747\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.974\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e39.318\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.935\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.819\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.819\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e35.542\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.966\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.835\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.785\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.974\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e40.326\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.944\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.816\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.816\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e19.845\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.606\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.553\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e39.994\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.923\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.829\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.829\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e31.575\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.958\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.828\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.773\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.974\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e39.666\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.930\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.812\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.812\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e32.874\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.962\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.834\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.780\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.974\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e41.176\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.950\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.823\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.823\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e32.342\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.976\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.827\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.794\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.974\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e28.521\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.998\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.685\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.685\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e33.956\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.991\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.824\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.740\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.974\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e37.172\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.928\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.823\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.823\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e18.091\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.966\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.573\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.768\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.976\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026times;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e39.440\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.932\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.836\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.836\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e20.595\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.976\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.616\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.796\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e40.588\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.943\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.840\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.840\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e28.544\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e1.032\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.771\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.698\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e39.414\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.953\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.837\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.837\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e24.284\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.965\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.700\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.688\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e38.919\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.978\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.827\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.827\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e23.079\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e1.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.677\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.743\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e33.034\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.976\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.762\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.762\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e30.997\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e1.023\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.791\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.713\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e39.152\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.950\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.838\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.838\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e25.542\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.976\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.759\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.748\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e23.793\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e1.017\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.602\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.602\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e28.501\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.953\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.783\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.776\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e21.771\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e1.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.581\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.581\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e29.875\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.983\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.797\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.805\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e37.353\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e1.004\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.789\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.789\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e33.064\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e1.004\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.825\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.808\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e38.911\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.966\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.829\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.829\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e29.222\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.974\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.795\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.835\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e28.384\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.974\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.681\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.681\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e25.008\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.910\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.753\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.781\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e27.842\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e1.004\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.679\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.679\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e25.302\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e0.962\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.740\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.758\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e35.814\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e1.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.780\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.780\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e38.751\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e1.005\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.809\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.809\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e42.283\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.837\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.837\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e39.898\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.829\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.829\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e42.783\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.965\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.850\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.850\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e38.527\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.980\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.826\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.826\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e41.598\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.986\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.846\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.846\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e39.690\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.982\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.835\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.835\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e40.084\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.982\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.838\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.838\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e34.896\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.946\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.800\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.800\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e35.988\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.934\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.801\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.801\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e36.986\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.957\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.809\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.809\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e39.823\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.957\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.839\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.839\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e35.365\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.951\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.801\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.801\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e33.058\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.908\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.770\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.770\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e32.398\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.962\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.754\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e0.754\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.8353909465020575%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.818930041152264%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74485596707819%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.790123456790123%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eNote: \u003csup\u003e**\u003c/sup\u003e\u003cem\u003eP\u003c/em\u003e\u0026lt;0.01 \u0026nbsp; \u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3\u0026nbsp;\u003c/strong\u003eFactor matrix of clinical nurses\u0026rsquo; biosafety incident response competence scale (n=1712)\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"614\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\"\u003e\n \u003cp\u003eItem\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\"\u003e\n \u003cp\u003eBiosafety knowledge preparedness\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\"\u003e\n \u003cp\u003eBiosafety event monitoring and warning abilities\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\"\u003e\n \u003cp\u003eBiosafety infection protection abilities\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\"\u003e\n \u003cp\u003eBiosafety incident nursing disposal abilities\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\"\u003e\n \u003cp\u003eRetained\u003c/p\u003e\n \u003cp\u003eitem\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.715\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.386\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.242\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.252\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.715\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.265\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e-0.006\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.306\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.712\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.365\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.294\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.262\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.700\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.372\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.312\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.246\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.699\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.270\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.275\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.381\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.697\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.281\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.066\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.342\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.682\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.274\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e-0.113\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.249\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.671\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.281\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.280\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.378\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.668\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.247\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.294\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.404\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.652\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.339\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.393\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.219\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.645\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.253\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.327\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.414\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.631\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.272\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.347\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.366\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.615\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.368\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.419\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.250\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026times;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.609\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.368\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.443\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.221\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026times;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.546\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.304\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.489\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.199\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026times;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.344\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.788\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.222\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.217\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.328\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.779\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.270\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.221\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.233\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.757\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.336\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.258\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.308\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.753\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.207\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.240\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.357\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.738\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.309\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.237\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.242\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.722\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.397\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.257\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.262\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.698\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.403\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.236\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.405\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.655\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.329\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.211\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.441\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.608\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.289\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.210\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026times;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.454\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.604\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.292\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.220\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026times;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.373\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.559\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.462\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.219\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026times;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.441\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.558\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.310\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.217\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026times;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.346\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.514\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.504\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.199\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026times;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.349\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.472\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.466\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.210\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026times;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.039\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.211\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.824\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.149\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.078\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.223\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.784\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.175\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.107\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.306\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.779\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.184\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.138\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.312\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.736\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.205\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.311\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.368\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.652\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.213\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.389\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.193\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.631\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.253\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.399\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.405\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.588\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.208\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026times;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.304\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.408\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.565\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.187\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026times;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.356\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.507\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.519\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.189\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026times;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.447\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.160\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.506\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.338\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026times;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.281\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.184\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.168\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.715\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.314\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.192\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.210\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.715\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.245\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.181\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.186\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.698\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.331\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.223\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.272\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.695\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.257\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.235\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.342\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.695\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.494\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.244\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.086\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.650\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.165\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.173\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.386\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.638\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026radic;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.565\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.248\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.049\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.583\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026times;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.534\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.223\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.018\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.569\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026times;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.749185667752442%\" valign=\"top\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\" valign=\"top\"\u003e\n \u003cp\u003e0.563\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.249\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e0.147\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.03257328990228%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.567\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026times;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4\u0026nbsp;\u003c/strong\u003ePrincipal component analysis of each dimension of the scale (n=1027)\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"690\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.83164005805515%\"\u003e\n \u003cp\u003eDimension\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.15820029027576%\"\u003e\n \u003cp\u003eNumber of factors (eigenvalue\u0026gt;1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.609579100145137%\"\u003e\n \u003cp\u003eVariance contribution rate (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.400580551523948%\"\u003e\n \u003cp\u003eItem load range\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.83164005805515%\"\u003e\n \u003cp\u003eBiosafety event monitoring and warning abilities\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.15820029027576%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.609579100145137%\"\u003e\n \u003cp\u003e73.593\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.400580551523948%\"\u003e\n \u003cp\u003e0.762~0.887\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.83164005805515%\"\u003e\n \u003cp\u003eBiosafety incident nursing disposal abilities\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.15820029027576%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.609579100145137%\"\u003e\n \u003cp\u003e76.246\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.400580551523948%\"\u003e\n \u003cp\u003e0.831~0.898\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.83164005805515%\"\u003e\n \u003cp\u003eBiosafety knowledge preparedness\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.15820029027576%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.609579100145137%\"\u003e\n \u003cp\u003e68.311\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.400580551523948%\"\u003e\n \u003cp\u003e0.776~0.862\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.83164005805515%\"\u003e\n \u003cp\u003eBiosafety infection protection abilities\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.15820029027576%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.609579100145137%\"\u003e\n \u003cp\u003e69.445\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.400580551523948%\"\u003e\n \u003cp\u003e0.715~0.884\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 5\u0026nbsp;\u003c/strong\u003eFactor load of formal scale (29 items)\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"926\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003eFactors and it\u0026rsquo;s items\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003eFactor load\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eFactor 1 (eigenvalue\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e16.885\u003c/strong\u003e\u003cstrong\u003e, variance contribution rate\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e58.224%\u003c/strong\u003e\u003cstrong\u003e)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e16 Possess the ability to assess biosafety incident level, radiation impact range, severity, and medical rescue response level\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.763\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e15 Be able to comprehensively predict and evaluate the risk of potential complications in patients with biological infections\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.755\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e14 Possess the ability to assess the harm of pathogenic microorganisms\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.745\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e12 Understand the main points and requirements of detection and screening of pathogenic microorganisms and drug-resistant bacteria\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.740\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e10 Ability to identify biosafety risks\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.719\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e9 Monitoring of microbial resistance\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.714\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e8 Monitoring of common symptoms in patients with biological infections\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.697\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e11 Understand the quarantine points and requirements of public goods, environment, medical equipment and equipment\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.697\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e17 Master the reporting requirements, reporting time limit, reporting content and reporting process of different types of biosafety incidents\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.688\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eFactor 2 (eigenvalue\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e2.370\u003c/strong\u003e\u003cstrong\u003e, variance contribution rate\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e8.174%\u003c/strong\u003e\u003cstrong\u003e)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e27 Possess the ability to manage the personnel involved in biosafety emergency rescue, and be able to reasonably organize, allocate, coordinate, coordinate, guide and manage biosafety nursing work\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.788\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e29 Possess the ability to coordinate nursing collaboration between different departments in biosafety rescue\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.778\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e28 Possess the ability to communicate well with superiors and organizations to seek effective rescue assistance\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.775\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e25 Possess the ability to coordinate and manage biosafety medical relief materials\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.757\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e26 Master the key points of medical record management and record of patients with biological infection\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.720\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e24 Possess the ability of psychological adjust and psychological care for biologically infected patients and their families affected by infectious diseases and biological warfare agents\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.688\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e23 Possess a good ability to withstand pressure and psychological adjustment in the biosafety incident rescue\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.669\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e22 Possess the ability to properly transport and evacuate bio-infected patients\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.580\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eFactor 3 (eigenvalue\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e1.436\u003c/strong\u003e\u003cstrong\u003e, variance contribution rate\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e4.950%\u003c/strong\u003e\u003cstrong\u003e)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e3 Be familiar with biosafety incidents involving paramedics that require paramedic involvement\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.751\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e2Understand relevant laws and regulations such as the Biosafety Law of the People\u0026apos;s Republic of China, the Law of the People\u0026apos;s Republic of China on the Prevention and Control of Infectious Diseases, and the Regulations on Biosafety Management of Pathogenic Microorganism Laboratories\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.742\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e5 Understand the types of pathogenic microorganisms and the transmission routes of different types of pathogenic microorganisms\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.728\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e1 Understand biosafety definitions, categories, hazards, and current or future potential national and international biosafety risks\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.698\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e6 Be familiar with the concept of antimicrobial resistance and the use of antimicrobials\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.684\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e4 Grasp the knowledge of care for common symptoms of patients with biological infections such as fever, chills, dizziness, headache, nausea, vomiting, diarrhea, rash, dyspnea, convulsions, and disturbance of consciousness\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.666\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e7 Understand the biosafety management and classification requirements of pathogenic microorganism laboratory\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.615\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eFactor 4 (eigenvalue\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e1.088\u003c/strong\u003e\u003cstrong\u003e, variance contribution rate\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e3.751\u003c/strong\u003e\u003cstrong\u003e%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e18 Master the emergency treatment process of skin and mucous membrane exposure, respiratory mucous membrane injury, sharp instrument injury and other biosafety occupational exposure and injury\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.814\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e21 Be able to properly handle blood, body fluids, secretions, excreta and biosafety-related medical waste from patients with biological infections\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.773\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e20 Strengthen nosocomial infection control to reduce the occurrence of drug-resistant bacterial infection\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.707\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e13 Master the correct collection methods of blood culture samples and nasopharyngeal swabs from patients with biological infection\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.631\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"89.75188781014023%\"\u003e\n \u003cp\u003e19 Understand the vaccination of biosafety protective vaccines\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.248112189859762%\"\u003e\n \u003cp\u003e0.617\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 6\u0026nbsp;\u003c/strong\u003eReliability coefficient of clinical nurses\u0026rsquo; biosafety incident response competence scale\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.95008319467554%\" rowspan=\"2\"\u003e\n \u003cp\u003eDimension/Scale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"70.04991680532446%\" colspan=\"3\"\u003e\n \u003cp\u003eReliability coefficient\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.142857142857146%\"\u003e\n \u003cp\u003eTest-retest reliability\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.428571428571427%\"\u003e\n \u003cp\u003eCronbach\u0026rsquo;s \u0026alpha; coefficient\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.428571428571427%\"\u003e\n \u003cp\u003eSplit-half reliability\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30%\"\u003e\n \u003cp\u003eBiosafety event monitoring and warning abilities\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26%\"\u003e\n \u003cp\u003e0.881\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22%\"\u003e\n \u003cp\u003e0.964\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22%\"\u003e\n \u003cp\u003e0.917\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30%\"\u003e\n \u003cp\u003eBiosafety incident nursing disposal abilities\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26%\"\u003e\n \u003cp\u003e0.825\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22%\"\u003e\n \u003cp\u003e0.955\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22%\"\u003e\n \u003cp\u003e0.915\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30%\"\u003e\n \u003cp\u003eBiosafety knowledge preparedness\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26%\"\u003e\n \u003cp\u003e0.843\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22%\"\u003e\n \u003cp\u003e0.922\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22%\"\u003e\n \u003cp\u003e0.888\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30%\"\u003e\n \u003cp\u003eBiosafety infection protection abilities\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26%\"\u003e\n \u003cp\u003e0.696\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22%\"\u003e\n \u003cp\u003e0.888\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22%\"\u003e\n \u003cp\u003e0.856\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"30%\"\u003e\n \u003cp\u003eTotal scale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26%\"\u003e\n \u003cp\u003e0.840\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22%\"\u003e\n \u003cp\u003e0.974\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22%\"\u003e\n \u003cp\u003e0.885\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eNote: \u003csup\u003e**\u003c/sup\u003e\u003cem\u003eP\u003c/em\u003e\u0026lt;0.01\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 7\u0026nbsp;\u003c/strong\u003eConfirmatory factor analysis model fitting values\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"643\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eFit\u0026nbsp;indexes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.4797507788162%\" valign=\"top\"\u003e\n \u003cp\u003eThe Measurement model\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.5202492211838%\" valign=\"top\"\u003e\n \u003cp\u003eFitting criteria\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003ec2/\u003cem\u003edf\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003e3.640\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.5202492211838%\"\u003e\n \u003cp\u003e＜5.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eRoot Mean Square Error Approximation (RMSEA)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003e0.072\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.5202492211838%\"\u003e\n \u003cp\u003e＜0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eComparative fit index (CFI)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003e0.940\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.5202492211838%\"\u003e\n \u003cp\u003e＞0.90\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eTucker-Lewis index (TLI)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003e0.933\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.5202492211838%\"\u003e\n \u003cp\u003e＞0.90\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eStandard root mean-square residual (SRMR)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003e0.049\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.5202492211838%\"\u003e\n \u003cp\u003e＜0.80\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bmc-nursing","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"nurs","sideBox":"Learn more about [BMC Nursing](http://bmcnurs.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/nurs/default.aspx","title":"BMC Nursing","twitterHandle":"@BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"clinical nurses, biosafety incident, response competence, instrument development, reliability, validity, exploratory factor analysis, confirmatory factor analysis","lastPublishedDoi":"10.21203/rs.3.rs-3343252/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3343252/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eAims: \u003c/strong\u003eThis study aimed to develop the biosafety incident response competence scale\u003cstrong\u003e \u003c/strong\u003eand evaluate its validity and reliability among clinical nurses.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDesign:\u003c/strong\u003e A scale development and validation study was completed in the following three phases: (1) the construction of a multidimensional conceptual model, (2) the preliminary exploration of the items, and (3) further exploration and evaluation of the items.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethods:\u003c/strong\u003e The multidimensional conceptual model was developed through a literature review and the Delphi method. A total of 1,712 clinical nurses participated in the preliminary item exploration, while 1,027 clinical nurses were involved in the further item evaluation from July 2023 to August 2023. The item analysis, exploratory factor analysis and confirmatory factor analysis were conducted to evaluate the construct validity. The reliability was measured by internal consistency, split-half reliability and test–retest reliability.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults:\u003c/strong\u003e The final scale is composed of 4 factors and 29 items, scored on a 5-point scale. The factors included monitoring and warning abilities, nursing disposal abilities, biosafety knowledge preparedness, and infection protection abilities. The explanatory variance of the 4 factors was 75.100%. The validity and reliability of the scale are well validated. The internal consistency, split-half reliability and test-retest reliability were 0.974, 0.945 and 0.840 respectively. The scale has good structural validity and content validity. The content validity was 0.866.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusions:\u003c/strong\u003e The biosafety incident response competence scale for nurses exhibits satisfactory reliability and validity, making it a valuable tool for assessing clinical nurses' abilities in responding to biosafety incidents.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePatient or Public Contribution\u003c/strong\u003e: Clinical nurses participated in the exploration and evaluation of the nurse's biosafety incident response competence scale.\u003c/p\u003e","manuscriptTitle":"Development and validation of the biosafety incident response competence scale for clinical nursing staff","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2023-09-15 18:18:33","doi":"10.21203/rs.3.rs-3343252/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Major revision","date":"2023-09-13T06:30:57+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2023-09-13T06:19:42+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2023-09-12T10:17:37+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Nursing","date":"2023-09-11T03:15:52+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-nursing","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"nurs","sideBox":"Learn more about [BMC Nursing](http://bmcnurs.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/nurs/default.aspx","title":"BMC Nursing","twitterHandle":"@BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"c0aabe90-5cc7-44b8-a0c9-7ffbd96cc434","owner":[],"postedDate":"September 15th, 2023","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2024-03-18T15:11:09+00:00","versionOfRecord":{"articleIdentity":"rs-3343252","link":"https://doi.org/10.1186/s12912-024-01848-6","journal":{"identity":"bmc-nursing","isVorOnly":false,"title":"BMC Nursing"},"publishedOn":"2024-03-14 15:00:42","publishedOnDateReadable":"March 14th, 2024"},"versionCreatedAt":"2023-09-15 18:18:33","video":"","vorDoi":"10.1186/s12912-024-01848-6","vorDoiUrl":"https://doi.org/10.1186/s12912-024-01848-6","workflowStages":[]},"version":"v1","identity":"rs-3343252","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3343252","identity":"rs-3343252","version":["v1"]},"buildId":"7rjqhiLT3MXkJMwkYKINL","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}