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Objective To understand the genotyping and epidemiological characteristics of norovirus in 16 clusters of vomiting and diarrhea in Putuo District of Shanghai, and to provide technical support and data reference for the treatment and prevention of clusters of vomiting and diarrhea caused by norovirus in the district and the whole city. Methods A total of 136 anal swab samples were collected from people involved in 16 clusters of vomiting and diarrhea outbreaks in Putuo District of Shanghai from 2018 to 2019. The nucleic acid of norovirus was detected by real-time fluorescence polymerase chain reaction. The polymerase-capsid protein link region was amplified by real-time fluorescence polymerase chain reaction and sequenced in the positive samples of typical cases. Genotyping and phylogenetic tree were constructed by bioinformatics tools. Results Among the 136 specimens,62 (45.59%) were positive for norovirus G II nucleic acid, and zero was positive for norovirus GI nucleic acid. 42 noroviruses were successfully sequenced, and four genotypes were obtained by sequence alignment analysis. Among the 16 clusters of vomiting and diarrhea outbreaks, nine were G II. P16-GII. 2 (56.25%),two were G II. P7-GII.6 (12.50%), two were GII. P12-GII.3 (12.50%), and three were G II. Pe-GII.4 (18.75%). Conclusion Norovirus is an important pathogen causing clustered vomiting and diarrhea in Putuo District of Shanghai from 2018 to 2019. It is mainly G II group and has a variety of genotypes. among which GII. P16-GII.2 is the main epidemic strain. [ABSTRACT FROM AUTHOR]

The explosive growth of player-versus-player games and tournaments has catapulted esports games into a rapidly expanding force in the gaming industry. However, novice and armature players’ voices are often inadvertently overlooked because of a lack of effective analytical methods, despite the close collaboration between professional esports teams and operators. To ensure the quality of esports game services and establish a balanced gaming environment, it is essential to consider the opinions of unprofessional players and comprehensively analyze their reviews. This study proposes a new framework for analyzing esports reviews of players. It incorporates two key components: topic modeling and sentiment analysis. Utilizing the Latent Dirichlet Allocation (LDA) algorithm, the framework effectively identifies diverse topics within reviews. These identified topics were subsequently employed in a prevalence analysis to uncover the associations between players’ concerns and various esports games. Moreover, it leverages cutting-edge Bidirectional Encoder Representations from Transformers (BERT) in conjunction with a Transformer (TFM) downstream layer, enabling accurate detection of players’ sentiments toward different topics. We experimented using a dataset containing 1.6 million English reviews collected up to December 2021 for four esports games on Steam: TEKKEN7, Dota2, PUBG, and CS:GO. The experimental results demonstrated that the proposed framework can efficiently identify players’ concerns and reveal interesting keywords underlying their reviews. Consequently, it provides precise insights and valuable customer feedback to esports game operators, enabling them to enhance their services and provide an improved gaming experience for all players.

Objective: The critical values in health checkup play a key role in preventing chronic diseases and different types of cancer. This study aimed to analyze the prevalence, association relation, and dynamic evolution of critical values in health checkups at a large physical examination center in China.Methods: Herein, we chose 33,639 samples of physical examiners from January 2017 to December 2019. After strict exclusion processes, combined with the critical values in health checkup reporting data, 4,721 participants with at least one critical value were included. We first defined a critical value list for laboratory test, imaging, cervical cancer screening, electrocardiogram, and health checkup informed on site, and then performed a cross-sectional study to analyze the distribution and significance of critical values of 4,721 participants from different views and the association relation of 628 participants with more than one critical value and a retrospective cohort study to analyze the incidence and dynamic evolution of critical values based on 2,813 participants attending the physical examination from 2017 to 2019.Results: A total of 4,721 participants were included in the retrospective study. The prevalence of 10 critical values from 33,639 participants was over 0.6%. The critical values of obesity, hypertension, Glucose_T, Liver_T, Kidney_T, Lipid_T, Urine_T, and Head_CT were significantly increased in men (P < 0.05), whereas the results were the opposite for the Blood_T and Thyroid_US (P < 0.01). The prevalence trend of critical values increased along with age, where the prevalence of men was higher than that of women under 60 years old (P < 0.01), while the prevalence of women increased by four times and exceeded the prevalence of men above 70 years old. Association relation analysis identified 16 and 6 effective rules for men and women, respectively, where the critical values of Urine_T and Glucose_T played the central roles. Furthermore, a retrospective dynamic evolution analysis found that the incidence of new critical values was about 10%, the incidence of persistent critical values was about 50%, and that most of the effective evolution paths tended to no critical values for men and women.Conclusion: In conclusion, this study provides a new perspective to explore the population health status using the critical value reporting data in a physical examination center, which can assist in decision-making by health management at the population level and in the prevention and treatment of various types of cancer and chronic diseases at the individual level.

Abstract: An increased Leydig cell tumor (LCT) incidence has been reported in a study of Sprague–Dawley (SD) rats exposed via gavage to 1000 (but not 250)mg/kgday MTBE; it is unclear, however, if this finding was indeed dose-related or due to the statistical analyses not having adequately accounted for the increased survival rate in the high-dose animals and/or for multiple statistical comparisons. To address this question, we conducted Hoel–Walburg and Poly-3 analyses, using p-values of 0.01 for pair-wise comparisons and 0.005 for trend tests of common tumors. We found that MTBE does not cause a statistically significant increase in LCTs in SD rats when survival is appropriately taken into account. In addition, the original study reported some overall survival data, but did not specify which rats had LCTs. This led us to conduct separate Poly-3 analyses for the most extreme scenarios of survival age and tumor incidence to provide an illustrative example of approaches for analyzing the impact of survival rates on tumor findings in the absence of animal-specific survival data. We found this method to provide results similar to analyses using the actual data, suggesting that it can be used when full survival data are not available. [Copyright &y& Elsevier]

Abstract: An increased Leydig cell tumor (LCT) incidence was reported in a study of Sprague–Dawley (SD) rats exposed to 1000 (but not 250) mg/kg-day MTBE via gavage; however, its unclear if this finding was due to the statistical analyses not adequately accounting for the increased survival rate in the high-dose animals and/or for multiple statistical comparisons. While the study reported some overall survival data, it did not specify which rats had LCTs. We conducted separate Poly-3 analyses for the most extreme scenarios of survival age and tumor incidence because the true data fall somewhere within this range. We used p-values of 0.01 for pair-wise comparisons and 0.005 for trend tests of common tumors as recommended to control for the overall false-positive error rate that can arise from multiple comparisons of tumor incidences in the large number of tissue/organ sites examined in chronic bioassays. We found that MTBE does not cause a statistically significant increase in LCTs in SD rats when survival is appropriately taken into account. Thus, these data do not support a causal association between MTBE exposure and LCTs. [Copyright &y& Elsevier]

Objective: The critical values in health checkup play a key role in preventing chronic diseases and different types of cancer. This study aimed to analyze the prevalence, association relation, and dynamic evolution of critical values in health checkups at a large physical examination center in China. Methods: Herein, we chose 33,639 samples of physical examiners from January 2017 to December 2019. After strict exclusion processes, combined with the critical values in health checkup reporting data, 4,721 participants with at least one critical value were included. We first defined a critical value list for laboratory test, imaging, cervical cancer screening, electrocardiogram, and health checkup informed on site, and then performed a cross-sectional study to analyze the distribution and significance of critical values of 4,721 participants from different views and the association relation of 628 participants with more than one critical value and a retrospective cohort study to analyze the incidence and dynamic evolution of critical values based on 2,813 participants attending the physical examination from 2017 to 2019. Results: A total of 4,721 participants were included in the retrospective study. The prevalence of 10 critical values from 33,639 participants was over 0.6%. The critical values of obesity, hypertension, Glucose&#95;T, Liver&#95;T, Kidney&#95;T, Lipid&#95;T, Urine&#95;T, and Head&#95;CT were significantly increased in men ( P < 0.05), whereas the results were the opposite for the Blood&#95;T and Thyroid&#95;US ( P < 0.01). The prevalence trend of critical values increased along with age, where the prevalence of men was higher than that of women under 60 years old ( P < 0.01), while the prevalence of women increased by four times and exceeded the prevalence of men above 70 years old. Association relation analysis identified 16 and 6 effective rules for men and women, respectively, where the critical values of Urine&#95;T and Glucose&#95;T played the central roles. Furthermore, a retrospective dynamic evolution analysis found that the incidence of new critical values was about 10%, the incidence of persistent critical values was about 50%, and that most of the effective evolution paths tended to no critical values for men and women. Conclusion: In conclusion, this study provides a new perspective to explore the population health status using the critical value reporting data in a physical examination center, which can assist in decision-making by health management at the population level and in the prevention and treatment of various types of cancer and chronic diseases at the individual level., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Chen, Wu, Liu, Wang, Li, Dong, Qin and Ding.)