Titlebook: Health Information Science; 12th International C Yan Li,Zhisheng Huang,Rui Zhou Conference proceedings 2023 The Editor(s) (if applicable) a

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Understanding the Influence of Multiple Factors on the Spread of Omicron Variant Strains via the Mulal factors influencing transmission. Higher vaccination rates and more healthcare facilities correlated with lower Omicron transmission, while dense population areas experienced higher spread. These findings hold significance for guiding public health decisions and shaping vaccination strategies ami

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Analyzing the Impact of COVID-19 on Education: A Comparative Study Based on TOEFL Test Resultss. These findings suggest that, during the outbreak of the pandemic in 2020, online learning increased the flexibility for students to access resources and maintain attendance, resulting in better results compared to 2019. However, this positive effect has diminished in 2021 with the normalization o

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Conference proceedings 2023Australia, during October 23–24, 2023..The 20 full papers and 9 short papers included in this book were carefully reviewed and selected from 54 submissions. They were organized in topical sections as follows: Depression & Mental Health, Data Security, Privacy & Healthcare Systems, Neurological & Cog

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cifications to be compounded using the operations of implication (⇒), conjunction (&), and universal quantification (.). The result is a system in which one can infer . specifications, i.e. specifications that hold in all environments.

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Umme Marzia Haque,Enamul Kabir,Rasheda Khanamn other super resolution algorithms discard this registration error. This algorithm follows the warp-blur observation model because the blurring parameter is much bigger than warp parameter for camera rotation and/or vibration.

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Wenjuan Hong,Can Wang,Chenping Hu,Yanhua Chen,Xiyan Zhang,Zhisheng Huang,Hongyun Qine overall description, etc.). The relationships among the various minimal coverings are discussed and the computational properties are analyzed. In order to derive such results a graphic representation of hypergraphs is introduced. Applications of these results to functional dependency manipulation are finally presented.

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Knowledge-Based Nonlinear to Linear Dataset Transformation for Chronic Illness Classificationction of nonlinear keywords viz. Male, Female, Diabetes, Cancer, Obese, Overweight, Smoked, Cigarettes, and Sugar from a health survey, transformed into a purely linear and scaled set of features propels the Multinomial Naive Bayes (MNB) algorithm to outperform standard dataset preparation and feature selection methods.