A global dataset of sequence, diversity and biosafety recommendation of arbovirus and arthropod-specific virus.

Arthropod-borne virus (arbovirus) and arthropod-specific virus (ASV) are viruses circulating amongst hematophagous arthropods that are broadly transmitted in ecological systems. Arbovirus may replicate in both vertebrates and invertebrates and some are known to be pathogenic to animals or humans. ASV only replicate in invertebrate arthropods yet they are basal to many types of arboviruses.

Evolving landscape of research on cancer-related cognitive impairment: A bibliometric analysis.

Objective: This study describes the state of the art in the field of cancer-related cognitive impairment (CRCI) to facilitate research opportunities in future CRCI research.

Methods: Five databases were searched: PubMed, Web of Science, Cochrane Library, Cumulative Index to Nursing and Allied Health (CINAHL), and PsycINFO, from inception to August 20, 2022. Python, VOSviewer, and CiteSpace software were used for data preprocessing and analysis.

[Accuracy verification of diet recording tool based on WeChat applet].

Objective: To explore the accuracy of a dietary recording tool based on the mobile phone WeChat applet-"Zhishi AI Dietitian" applied to dietary records.

Methods: The research subjects were 109 full-time undergraduates from Zhejiang University. Respondents completed one round of dietary records of "Zhishi AI Dietitian" for three non-consecutive days and one round of non-consecutive three-day 24-hour dietary review method records.

Comparison and development of advanced machine learning tools to predict nonalcoholic fatty liver disease: An extended study.

Background: Nonalcoholic fatty liver disease (NAFLD) is a public health challenge and significant cause of morbidity and mortality worldwide. Early identification is crucial for disease intervention. We recently proposed a nomogram-based NAFLD prediction model from a large population cohort.

Promoting healthy lifestyle in Chinese college students: evaluation of a social media-based intervention applying the RE-AIM framework.

Background: A health program aiming at college students is pressingly needed to improve their lifestyle and prevent diseases. However, a health intervention often requires health facilities and the many efforts of health workers. This project attempts to evolve traditional health intervention by using integrated methods based on social media and multiple mobile tools.