ambulance
发表于 2025-3-21 19:22:20
书目名称Intelligence and Security Informatics影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0469306<br><br> <br><br>书目名称Intelligence and Security Informatics影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0469306<br><br> <br><br>书目名称Intelligence and Security Informatics网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0469306<br><br> <br><br>书目名称Intelligence and Security Informatics网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0469306<br><br> <br><br>书目名称Intelligence and Security Informatics被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0469306<br><br> <br><br>书目名称Intelligence and Security Informatics被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0469306<br><br> <br><br>书目名称Intelligence and Security Informatics年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0469306<br><br> <br><br>书目名称Intelligence and Security Informatics年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0469306<br><br> <br><br>书目名称Intelligence and Security Informatics读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0469306<br><br> <br><br>书目名称Intelligence and Security Informatics读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0469306<br><br> <br><br>
Gobble
发表于 2025-3-21 22:37:02
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cornucopia
发表于 2025-3-22 03:15:47
Modeling and Simulation for the Spread of H1N1 Influenza in School Using Artificial Societiesree roles, which were susceptible, infectious and recovered student. Finally, it conducted simulation experiments to compare the emergency measures of segregating non-classmates and segregating non-roommates.
Obvious
发表于 2025-3-22 05:50:51
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Mri485
发表于 2025-3-22 11:08:37
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BOOST
发表于 2025-3-22 14:30:12
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ANA
发表于 2025-3-22 18:38:38
A Geospatial Analysis on the Potential Value of News Comments in Infectious Disease Surveillancer data volume(a correlation of 0.902 p<0.01). It suggests that extracting geospatial distribution from comments data for estimation could be an important supplementary method when the surveillance data are incomplete and unreliable.
Gesture
发表于 2025-3-22 23:23:14
Using Spatial Prediction Model to Analyze Driving Forces of the Beijing 2008 HFMD Epidemicution attained 88%. However, CLRM showed low prediction accuracy and bias estimation. It was demonstrated that including spatial effect item into CLRM could greatly improve the performance of HFMD morbidity prediciton model.
EXUDE
发表于 2025-3-23 03:50:15
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Cardiac-Output
发表于 2025-3-23 06:31:10
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