Oxidative stress gene expression in ulcerative colitis: implications for colon cancer biomarker discovery by Ting Yan, Ting Su, Miaomiao Zhu, Qiyuan Qing, Binjie Huang, Jun Liu, Tenghui Ma

“…Furthermore, we utilized the STRING database and Cytoscape to establish a protein–protein interaction (PPI) network and constructed an mRNA-transcription factor (TF) and mRNA-miRNA interaction networks. …”
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Expression characteristics, molecular mechanisms, and clinical significance of DICER1 in breast cancer by Xi Zhang, Long Yu, Cuizhi Geng

“…Weighted gene co-expression network analysis (WGCNA) was used to identify gene modules associated with the breast cancer phenotype, and gene set enrichment analysis (GSEA) was performed to explore their biological functions. …”
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Association between second-hand smoke exposure and lung cancer risk in never-smokers: a systematic review and meta-analysis by Irene Possenti, Marco Romelli, Giulia Carreras, Annalisa Biffi, Vincenzo Bagnardi, Claudia Specchia, Silvano Gallus, Alessandra Lugo

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Biomarker Investigation Using Multiple Brain Measures from MRI Through Explainable Artificial Intelligence in Alzheimer’s Disease Classification by Davide Coluzzi, Valentina Bordin, Massimo W. Rivolta, Igor Fortel, Liang Zhan, Alex Leow, Giuseppe Baselli

“…This work compares a novel DL model using structural connectivity (namely, BC-GCN-SE adapted from functional connectivity tasks) with an established model using structural magnetic resonance imaging (MRI) scans (namely, ResNet18). …”
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Research on the Wetland Vegetation Classification Method Based on Cross-Satellite Hyperspectral Images by Min Yang, Jing Qin, Xiaodan Wang, Yanfeng Gu

“…To alleviate these problems, we have designed a linear unbiased stochastic network classification framework based on adversarial learning. …”
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Current state and prospects for digitalization of the Russian coal industry by Yu. P. Panov, A. A. Grabsky, A. A. Rozhkov

“…The proposed TPs of the Russian coal industry should solve the following tasks:determination of the basic requirements and functional properties of the Russian coal industry based on the Industry 4.0 state initiative, along with the principles of their implementation;determination of the main technological directions for the main sectors (processes) of technological development of the coal industry, including prospecting and exploration; underground and open-pit coal mining; upgrading and processing of coal and industrial waste; transportation of coal;identification of the main components, technologies, information and management solutions in all the above processes;diversification of the activities of coal mining companies in the creation of products with high added value;overcoming the technological gap and import dependence by implementing phased import substitution and innovative development of the Russian coal industry and mining engineering with the achievement of technological sovereignty.The research results can be used when creating a unified network of scientific and educational centers on the principles of public-private partnership for the development and industrial implementation of innovative technologies in the coal, mining, and exploration industries, as well as in the training of highly-qualified personnel on the basis of Sergo Ordzhonikidze Russian State University for Geological Prospecting.…”
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Identification of signature genes and subtypes for heart failure diagnosis based on machine learning by Yanlong Zhang, Yanming Fan, Fei Cheng, Dan Chen, Hualong Zhang

“…In addition, we assessed the different subtypes of heart failure through unsupervised clustering, and investigations were conducted on the differences in the immunological microenvironment, improved functions, and pathways among these subtypes. …”
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Experimental and Theoretical Study of the Synthesis of a Deep Eutectic Solvent Based on Protonated Caffeine, Ethylene Glycol, and ZnCl₂ by Laura Sofía Benavides-Maya, Manuel Felipe Torres-Perdomo, Luz M. Ocampo-Carmona, Luver Echeverry-Vargas

“…Additionally, computational simulations based on COSMO-RS and ab initio molecular dynamics (AIMD) were conducted to analyze the charge distribution and the stability of the hydrogen bond network in the eutectic mixture. …”
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A Single Session of tDCS Stimulation Can Modulate an EEG Microstate Associated With Anxiety in Patients With Depression by Keiichiro Nishida, Shota Minami, Tomonari Yamane, Satsuki Ueda, Banri Tsukuda, Shunichiro Ikeda, Daisuke Haruna, Masafumi Yoshimura, Tetsufumi Kanazawa, Thomas Koenig

“…Conclusion Microstate map D appears to be associated with psychiatric disorders and executive functions, whereas map C may relate to the salience network and mind‐wandering. …”
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Genome-Wide Identification and Expression Analysis of the <i>Shaker</i> K⁺ Channel Gene Family in Cassava (<i>Manihot esculenta</i> Crantz) Under Potassium Stress by Xianhai Xie, Chenyu Lin, Feilong Yu, Haozheng Li, Jin Xiao, Mingjuan Zheng, Wenquan Wang, Xin Guo

“…In summary, this study provides valuable insights into the characteristics and biological functions of the <i>Shaker</i> K⁺ channel gene family in cassava and identifies potential candidate genes for breeding or engineering potassium-efficient cassava cultivars.…”
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MCM4 as Potential Metastatic Biomarker in Lung Adenocarcinoma by Hung-Chih Lai, Ju-Fang Liu, Tsung-Ming Chang, Thai-Yen Ling

“…<b>Methods:</b> We analyzed four GEO microarray datasets (GSE32863, GSE27262, GSE40275, and GSE33356) and TCGA data to identify differentially expressed genes (DEGs) in LUAD. Functional enrichment of DEGs was analyzed using Gene Ontology, Kyoto Encyclopedia of Genes and Genomes analysis, and a Cancer Hallmark Enrichment Plot. …”
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Screening of CAD-related secretory genes associated with type II diabetes based on comprehensive bioinformatics analysis and machine learning by Li Xie, Han Xiao, Maoyu Zhao, Li Xu, Si Tang, Youzhu Qiu

“…Additional analyses included immune analysis, drug sensitivity, competing endogenous RNA (ceRNA) networks, and smooth muscle cell -related functional analysis. …”
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Impact of Artificial Intelligence in Nursing for Geriatric Clinical Care for Chronic Diseases: A Systematic Literature Review by Mahdieh Poodineh Moghadam, Zabih Allah Moghadam, Mohammad Reza Chalak Qazani, Pawel Plawiak, Roohallah Alizadehsani

“…To address these shortcomings, our study conducts a systematic literature review of ML and DL applications in geriatric care for chronic disease management. …”
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Proteomic Profiling of COVID-19 Patients Sera: Differential Expression with Varying Disease Stage and Potential Biomarkers by Iman Dandachi, Ayodele Alaiya, Zakia Shinwari, Basma Abbas, Alaa Karkashan, Ahod Al-Amari, Waleed Aljabr

“…A label-free quantitative mass spectrometry-based proteomic analysis was conducted on the extracted sera. Protein–protein interactions and functional annotations of identified proteins were performed using the STRING. …”
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Optimal Coordination of Directional Overcurrent Relays Using an Innovative Fractional-Order Derivative War Algorithm by Bakht Muhammad Khan, Abdul Wadood, Herie Park, Shahbaz Khan, Husan Ali

“…To validate the effectiveness of FODWO, comprehensive statistical analyses were conducted, including box plots, quantile–quantile (QQ) plots, the empirical cumulative distribution function (ECDF), and minimal fitness evolution across simulations. …”
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Changes in EEG Microstate Dynamics and Cognition Post‐Chemotherapy in People With Breast Cancer by S. Damji, S. Sattari, K. Zadravec, K. L. Campbell, J. Brunet, N. Virji‐Babul

“…ABSTRACT Objective Chemotherapy‐related cognitive changes following breast cancer are commonly reported; however, changes in brain dynamics of large‐scale neural networks remain unclear. Using data from the Aerobic exercise and CogniTIVe functioning in women with breAsT cancEr (ACTIVATE) trial, we conducted exploratory analyses to compare self‐reported and objective measures of cognition and applied microstate analysis to resting state (RS) electroencephalography (EEG) data of women with breast cancer before and following chemotherapy treatment. …”
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Trends in progress test performance of medical students at a university in Peru. by Franco Romaní-Romaní, César Gutiérrez

“…While progress tests (PTs) have been widely adopted internationally through collaborative networks of medical schools, in Peru, their implementation has been primarily institutional. …”
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Fire and Smoke Detection Based on Improved YOLOV11 by Zhipeng Xue, Lingyun Kong, Haiyang Wu, Jiale Chen

“…In this paper, the core DCN2 (Deformable Convolutional Networks2) of the YOLOV11 Head is replaced with the DCN3 module to form a new detection head. …”
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Transitional Housing and the Family Capacity Building Planner: An Urban Graduation Approach for Improving the Mental Health and Well-Being of Poor Households in Hong Kong by Siu-Ming Chan, Heng Xu, Yuen-Ki Tang, Kim Kwok, Ka-Man Leung

“…Participants reported significant mental health benefits, with reductions in stress and anxiety directly attributed to increased living space, improved privacy, and better environmental conditions. The FCBP programme functions as soft infrastructure that enables residents to access support networks, enhance family relationships, develop employment skills, and build self-efficacy. …”
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Machine Learning Methods for Evaluation of Technical Factors of Spraying in Permanent Plantations by Vjekoslav Tadić, Dorijan Radočaj, Mladen Jurišić

“…The data from the field research were processed using four machine learning models: quantile random forest (QRF), support vector regression with radial basis function kernel (SVR), Bayesian Regularization for Feed-Forward Neural Networks (BRNN), and Ensemble Machine Learning (ENS). …”
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