Early mobilisation in Windhoek intensive care units: Practices, attitudes and barriers by Ilse du Plessis, Savarna Francis, Brenda Morrow

“…Mobility practices were conservative, especially when patients were intubated or in the presence of radial and femoral catheters. Major patient-level barriers included medical instability (n = 24, 72.7%) and excessive sedation (n = 18, 54.5%); whereas institutional barriers were the requirement for a doctor’s referral (n = 22, 64.7%) and no written guidelines or protocols for mobilisation (n = 16, 47.1%). …”
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Evaluation of Nurses’ Performance Regarding Personal Protective Equipment at Rania Teaching Hospital by Bayan Omar Sharif, Frishta M. Khdir, Padasht M. Khdir, Sarezh A. Rasul

“…The majority of nurses were performed many nursing procedures such as wound dressing, suturing, suctioning, naso-gastric tube and  Foley catheter insertion without using PPE properly and without washing hands before procedures. …”
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The Effect of Banana Bacteria Wilt on the Socio-Economic Welfare of Farmers in Ruhinda Sub-County Rukungiri District by Tayebwa, Rameka

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The Effect of Banana Bacteria Wilt on the Socio-Economic Welfare of Farmers in Ruhinda Sub-County Rukungiri District by Tayebwa, Rameka

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Cetacean feeding modelling using machine learning: A case study of the Central-Eastern Mediterranean Sea by Carla Cherubini, Giulia Cipriano, Leonardo Saccotelli, Giovanni Dimauro, Giovanni Coppini, Roberto Carlucci, Carmelo Fanizza, Rosalia Maglietta

“…Behavioural data from April 2016 to October 2023, coupled with 20 environmental variables from Copernicus Marine Service and EMODnet-bathymetry datasets, were used to build Cetacean Feeding Models (CFMs) for the target species using Random Forest and RUSBoost algorithms. …”
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Machine Learning Diagnostic Model for Hepatocellular Carcinoma Based on Liquid–Liquid Phase Separation and Ferroptosis-Related Genes by Wenchao Chen, Ting Zhu, Xiaofan Pu, Linlin Zhao, Senhao Zhou, Xin Zhong, Suihan Wang, Tianyu Lin

“…Materials and Methods: The differentially expressed genes (DEGs) were identified based on 3 GEO datasets, followed by overlapping with LLPS-related and ferroptosis-related genes. …”
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Exploring the influence of pre-analytical variables on gene expression measurements and relative expression orderings in cancer research by Tian Tian, Guie Lai, Ming He, Xiaofang Liu, Yun Luo, You Guo, Guini Hong, Hongdong Li, Kai Song, Hao Cai

“…Systematic evaluating effects of these variables on gene expression measurements and relative expression orderings (REOs) of gene pairs, is necessary. A total of 18 datasets were collected, comprising over 800 paired samples. …”
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Sphingosine kinase 1 promotes M2 macrophage infiltration and enhances glioma cell migration via the JAK2/STAT3 pathway by Zihan Song, Zijun Zhao, Xuehua Liu, Yiran Song, Siyu Zhu, Ziyang Jia, Yijie Li, Zairan Wang, Boyu Sun, Qianxu Jin, Shiyang Zhang, Zongmao Zhao, Liqiang Liu

“…We comprehensively examined SPHK1 and investigated its correlation with glioma survival time using different datasets. The correlation between SPHK1 and various cancer pathways was analyzed using the Kyoto encyclopedia of genes and genomes (KEGG) analysis. …”
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Dual Fine-Grained network with frequency Transformer for change detection on remote sensing images by Zhen Li, Zhenxin Zhang, Mengmeng Li, Liqiang Zhang, Xueli Peng, Rixing He, Leidong Shi

“…Our comparative experiments across four publicly available datasets demonstrate that FTransDF-Net reaches advanced results. …”
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Deciphering the generation of heterogeneity in esophageal squamous cell carcinoma metastasis via single-cell multiomics analysis by Kaiwen Sheng, Jun Chen, Ruitang Xu, Haoqiang Sun, Ran Liu, Yongjie Wang, Wenwen Xu, Jiao Guo, Miao Zhang, Shuai Liu, Juan Lei, Yawen Sun, Yang Jia, Dianhao Guo

“…In conjunction, we integrated these data with 55 scRNA-seq datasets, ChIP-seq or CUT&Tag sequencing data, Hi-C sequencing data, bulk RNA-seq data, and bulk ATAC-seq data from ESCC cell lines to dissect the mechanisms underlying the heterogeneity of ESCC and tumor microenvironment (TME). …”
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Deep Learning-Based Feature Extraction Technique for Single Document Summarization Using Hybrid Optimization Technique by Jyotirmayee Rautaray, Sangram Panigrahi, Ajit Kumar Nayak, Premananda Sahu, Kaushik Mishra

“…The proposed method’s efficiency was evaluated using datasets from the Document Understanding Conference (DUC), specifically DUC-2002, DUC-2003, and DUC-2005. …”
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Exploring the predictive power of antinuclear antibodies and Rheumatoid factor correlations in anticipating therapeutic outcomes for female patients with coexisting Sjögren's syndr... by Anitha Krishnan Pandarathodiyil, Hema Shree K, Pratibha Ramani, B. Sivapathasundharam, Ramya Ramadoss

“…These findings suggest that machine learning models could enhance personalized treatment strategies for patients with SS and RA, but additional validation with larger datasets is required.…”
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Progress in prediction of photocatalytic CO2 reduction using machine learning approach: A mini review by Md Mohshin Ali, Md. Arif Hossen, Azrina Abd Aziz

“…These models can handle extensive experimental datasets, optimize operational parameters, and provide insights into CO2 reduction (CO2R) mechanisms. …”
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Iron and folic acid supplementation compliance during pregnancy and its effect on post-pregnancy anaemia among reproductive-age women in East Africa by Melaku Tadege Engidaw, Patricia Lee, Faruk Ahmed

“…Methods: This study used data from 43,200 reproductive-age women from 2015 to 2022 demographic and health survey datasets. We used multilevel mixed-effect logistic regression analysis to identify associated factors with IFA supplementation compliance during pregnancy. …”
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Unlocking the link: predicting cardiovascular disease risk with a focus on airflow obstruction using machine learning by Xiyu Cao, Jianli Ma, Xiaoyi He, Yufei Liu, Yang Yang, Yaqi Wang, Chuantao Zhang

“…Methods This study used the National Health and Nutrition Examination Survey (NHANES) III (1988–1994) and NHANES 2007–2012 datasets. Inclusion criteria were participants aged over 40 with complete AO and CVD data; exclusions were those with missing key data. …”
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An updated regional model skill assessment for seasonal and interannual variability of bottom temperature across the eastern Bering Sea shelf by Kelly A. Kearney, Phyllis J. Stabeno, Albert J. Hermann, Albert J. Hermann, Calvin W. Mordy, Calvin W. Mordy

“…Here, we characterize bottom temperature on the southeastern Bering Sea shelf across time scales by combining data from our new pop-up floats with several existing temperature datasets. We then use this combination of data to systematically assess the skill of the Bering10K ROMS model in capturing these features, focusing on spatial variability in skill metrics and the potential processes leading to these patterns. …”
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Differences in prevalence and associated factors of underweight and overweight/obesity according to rural–urban residence strata among women of reproductive age in Bangladesh: evid... by Rajat Das Gupta, Mohammad Rashidul Hashan, Gulam Muhammed Al Kibria, Brendan Day

“…Objectives This study aimed to investigate the differences in prevalence and factors influencing underweight and overweight/obesity stratified by region of residence among women of reproductive age in Bangladesh.Design Secondary analysis of cross-sectional nationwide data.Setting This study used Bangladesh Demographic and Health Survey 2014 data.Participants A weighted sample of 16 478 women of reproductive age (15–49 years) were included in the analysis.Primary and secondary outcome measures Using the Asian-specific cut-off for body mass index, the primary outcome of this study was categorised as: underweight (<18.5 kg/m2), normal weight (18.5 to <23.0) kg/m2 and overweight/obese (≥23.0 kg/m2) stratified according to rural–urban residence.Results More than half of urban women (53%, n=2493) and one-third of rural women (33%, n=3968) were found to be overweight/obese. …”
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Increased Intra-Abdominal Pressure as One of the Links in the Pathogenesis of Secondary Diffuse Purulent Peritonitis by D. V. Cherdantsev, O. V. Ovchinnikova, Yu. G. Trofimovich, I. G. Noskov, O. V. Pervova, A. A. Kovalenko

“…To measure this indicator, a Foley catheter inserted into the bladder is used in medical practice. …”
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Identification and functional analysis of hub genes involved in deoxynivalenol-induced enterotoxicity in porcine (Sus scrofa) by Jinhua He, Geng Zhao, Mingxia Chen, Ximing Ren, Peizhi Zhu, Zhizhong Liu, Jiayi Zhou, Hanwei Chen, Chuqiao Xiao, Xiang-Guang Li

“…To address this knowledge gap, this study aimed to identify hub genes associated with enterotoxicity caused by DON exposure. Transcriptomic datasets from porcine jejunal explants exposed to DON were extensively analyzed using bioinformatic techniques in this study. …”
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RETRACTED ARTICLE: A prospective diagnostic model for breast cancer utilizing machine learning to examine the molecular immune infiltrate in HSPB6 by Lizhe Wang, Yu Wang, Yueyang Li, Li Zhou, Sihan Liu, Yongyi Cao, Yuzhi Li, Shenting Liu, Jiahui Du, Jin Wang, Ting Zhu

“…The objective of this research was to perform bioinformatics analyses on breast cancer-related datasets to gain a comprehensive understanding of the molecular mechanisms at play and to identify key genes associated with the disease. …”
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