Zhonghua Wei Zhong Bing Ji Jiu Yi Xue
October 2024
Objective: To comprehensively search the relevant literature on prone position-cardiopulmonary resuscitation (PP-CPR) in adults at home and abroad, analyze the content, summarize the evidence, and provide reference for clinical health care professionals.
Methods: Systematic search of CNKI, China Biomedical Literature Service System (SinoMed), Wanfang Data, VIP database, PubMed, Embase, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochran Library, Web of Science, Scopus literature database and other Chinese and English databases was conducted. The search period was from inception to June 15 in 2024.
Biomed Opt Express
March 2024
The kidney is an important organ for excreting metabolic waste and maintaining the stability of the body's internal environment. The renal function involves multiple complex and fine structures in the whole kidney, and any change in these structures may cause impaired nephric function. Consequently, achieving three-dimensional (3D) reconstruction of the entire kidney at a single-cell resolution is of significant importance for understanding the kidney's structural characteristics and exploring the pathogenesis of kidney diseases.
View Article and Find Full Text PDFLi metal anodes have attracted attention due to their high specific capacity and low electrochemical potential. Nevertheless, the uncontrolled growth of Li dendrites hinders the practical application of Li metal batteries. Although the various approaches have made performance improvements, safety hazards still exist since Li dendrites are still growing along the anode to the separator during the continuous plating/stripping process.
View Article and Find Full Text PDFIntensive Crit Care Nurs
February 2024
Objective: This meta-analysis aimed to assess the predictive value of the rapid shallow breathing index for extubation outcomes.
Methodology: We conducted a systematic review of literature (inception to March 2023) and a meta-analysis. Statistical analysis was performed using Meta-Disc 1.
BMC Bioinformatics
June 2023
Background And Objective: As a common chronic disease, diabetes is called the "second killer" among modern diseases. Currently, there is no medical cure for diabetes. We can only rely on medication for auxiliary treatment.
View Article and Find Full Text PDFIEEE/ACM Trans Comput Biol Bioinform
April 2023
When clustering gene expression, it is expected that correlation coefficients of genes in the same clusters are high, and that gene ontology (GO) enrichment analysis of most clusters will be significant. However, existing short-term gene expression clustering algorithms have limitations. To address this problem, we proposed a novel clustering process based on angular features for short-term gene expression.
View Article and Find Full Text PDFFront Neuroinform
January 2021
The popularity of mesoscopic whole-brain imaging techniques has increased dramatically, but these techniques generate teravoxel-sized volumetric image data. Visualizing or interacting with these massive data is both necessary and essential in the bioimage analysis pipeline; however, due to their size, researchers have difficulty using typical computers to process them. The existing solutions do not consider applying web visualization and three-dimensional (3D) volume rendering methods simultaneously to reduce the number of data copy operations and provide a better way to visualize 3D structures in bioimage data.
View Article and Find Full Text PDFLong intergenic noncoding RNAs (lincRNAs) play a crucial role in many biological processes. The rat is an important model organism in biomedical research. Recent studies have detected rat lincRNA genes from several samples.
View Article and Find Full Text PDFProtein complex detection in PPI networks plays an important role in analyzing biological processes. A new algorithm-DBGPWN-is proposed for predicting complexes in PPI networks. Firstly, a method based on gene ontology is used to measure semantic similarities between interacted proteins, and the similarity values are used as their weights.
View Article and Find Full Text PDFComput Intell Neurosci
March 2018
The -modes clustering algorithm has been widely used to cluster categorical data. In this paper, we firstly analyzed the -modes algorithm and its dissimilarity measure. Based on this, we then proposed a novel dissimilarity measure, which is named as GRD.
View Article and Find Full Text PDFComput Intell Neurosci
February 2017
Feature selection plays a critical role in text categorization. During feature selecting, high-frequency terms and the interclass and intraclass relative contributions of terms all have significant effects on classification results. So we put forward a feature selection approach, IIRCT, based on interclass and intraclass relative contributions of terms in the paper.
View Article and Find Full Text PDFFeature selection has a direct impact on text categorization. Most existing algorithms are based on document level, and they haven't considered the influence of term frequency on text categorization. Based on these, we put forward a feature selection approach, FSATD, based on term distributions in the paper.
View Article and Find Full Text PDFObjectives: We aimed to investigate the awareness of and willingness to use oral pre-exposure prophylaxis (PrEP) for HIV prevention among HIV-negative partners in HIV-serodiscordant heterosexual couples in Xinjiang, China and determine factors that predict willingness to use oral PrEP.
Methods: Between November 2009 and December 2010, a cross-sectional survey was carried out among 351 HIV-negative partners in HIV-serodiscordant heterosexual couples from three cities in Xinjiang, China. Participants completed a self-administered questionnaire to assess their awareness of and willingness to use oral PrEP.
Zhejiang Da Xue Xue Bao Yi Xue Ban
May 2011
Objective: To assess the acceptability of pre-exposure prophylaxis (Pr-EP) among the female sex workers in Xinjiang.
Methods: A volunteer-based, anonymous and one-to-one questionnaire survey was conducted in 762 female sex workers (FSW) in Urumqi and Kelamayi of Xinjiang Uyghur Autonomous Region.
Result: Among 762 FSW surveyed, 673 (88.