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Jan 13, 2025 | 00037-7/fulltext&sz=64)
jbc.org | Cheeloo College |Guangxi Normal
Research ArticlesArticles in Press108190Open access aInstitute of Immunopharmaceutical Sciences, NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, Key Laboratory of Chemical Biology, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China bState Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Guangxi Normal University, Guilin, Guangxi, China Publication History: Received October 28,...
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Nov 21, 2024 | 
systematicreviewsjournal.biomedcentral.com | Guangxi Normal
The protocol for this meta-analysis was registered in advance with the International Prospective Register of Systematic Reviews (CRD42024601914). This meta-analysis was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
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Oct 28, 2024 | 
bmcpublichealth.biomedcentral.com | Guangxi Normal
Based on the level of evidence grading, this review did not find sufficient evidence to support the hypothesis that sedentary behaviors (SED) are adverse related to bone mass or strength in children, adolescents and young people, particularly when analyzing boys or girls separately or adjusting for moderate-to-vigorous physical activity (MVPA).There was no strong evidence supporting an association between bone mineral content (BMC) or bone mineral density (BMD) and any type of SED, even when...
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Sep 27, 2024 | 
journals.aps.org | Víctor Nahuel Montesinos |Jing Song |Wei-Hong Liang |Guangxi Normal
We start from a recently favored picture in which the Λc(2940) and Λc(2910) correspond mostly to ND* bound states with JP=1/2−,3/2− respectively, and then add a D as a third particle, looking for the possible binding of the DND* three-body system within the framework of the fixed center approximation. We find that the system is bound with respect to the corresponding Λc(2940)D, Λc(2910)D thresholds with a binding of about 60 MeV and a width of about 90 MeV.
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Sep 19, 2024 | 
epjc.epj.org | Man-Yu Duan |Jing Song |Wei-Hong Liang |Guangxi Normal
Eur. Phys. J.
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Sep 12, 2024 | 
link.springer.com | Guangxi Normal
AbstractWe investigate the space-time decay rate of solution to the 3D Cauchy problem of the compressible Navier–Stokes–Korteweg system. Based on the previous temporal decay results for this system, it is shown that for any integer \(N\ge 3\), the space-time decay rate of \(k\left( \in \left[ 0, N\right] \right) \)-order spatial derivative of the solution in weighted space \(H^{N-k}_{\gamma }\) is \(t^{-\frac{3}{4}-\frac{k}{2}+\gamma }\).
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Aug 2, 2024 | 
bmcpsychology.biomedcentral.com | Guangxi Normal |Tianjin Normal |Liaoning Normal
We estimated the required sample size using G*Power 3.1. Study 1, employed a linear multiple regression of 2 predictors, with f = 0.15, α = 0.05, and a statistical power of 0.8; the estimated sample size was 68. This study recruited 100 middle school students from two middle schools in a certain city to participate in the study.
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Jul 2, 2024 | 
epjc.epj.org | Hai-Peng Li |Guangxi Normal |Jing Song |Wei-Hong Liang
Eur. Phys. J.
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Jun 12, 2024 | 
bmcpublichealth.biomedcentral.com | Guangxi Normal |Cheeloo College |Shandong Normal
ReferencesLi W, Liu E, Balezentis T, Jin H, Streimikiene D. Association between socioeconomic welfare and depression among older adults: evidence from the China health and Retirement Longitudinal Study. Soc Sci Med. 2021;275:113814. PubMed Google Scholar Ren X, Yu S, Dong W, Yin P, Xu X, Zhou M. Burden of depression in China, 1990–2017: findings from the global burden of disease study 2017. J Affect Disord. 2020;268:95–101. PubMed Google Scholar National Institute of Mental Health.
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Mar 22, 2024 | 
journalofcloudcomputing.springeropen.com | Guangxi Normal
The TBUFCM model consists of three key modules: data preprocessing, feature extraction, and feature fusion and classification. The data preprocessing module is responsible for cleaning, segmenting, removing stop words, and quantifying user comments. The feature extraction module uses user basic attributes, time series, behavioral information, and comment text to learn user temporal features, propagation behavior features, and comment language features.
