Synthesis and characterization of hematite nanomaterials imprinted with acetone, ethanol and methanol for AI-Based IoT gas sensor arrays by Rana M. Abdelghani, Abd El-Hady B. Kashyout, Iman Morsi, Taha Elsayed Taha, Naglaa F. Soliman, Walid El-Shafai

“…The findings validate the effectiveness of the developed sensor array, combined with AI-driven analysis, in accurately classifying and quantifying gas concentrations. …”
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Mutation of the histone demethylase Gasc1 causes ASD-like symptoms in mice by Tetsushi Kagawa, Yuhei Yamaguchi, Yasuhiro Kokubu, Genki Sudo, Aoi Ebisawa, Satoko Hattori, Keizo Takao, Kohtarou Konno, Naomi Nakagata, Takafumi Inoue, Masahiko Watanabe, Johji Inazawa, Tsuyoshi Miyakawa, Tetsuya Taga

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Identification and Validation of Key Genes Involved in the Coupling of Mitochondria-Associated Endoplasmic Reticulum Membrane in Hemorrhoidal Disease by Mao L, Rao Z, Wang Y, Yang J, He J, Zheng Z, Chen L

“…Differential expression analysis and single-sample Gene Set Enrichment Analysis (ssGSEA) scores were initially employed to identify candidate genes. …”
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Lipid-Metabolism-Related Gene Signature Predicts Prognosis and Immune Microenvironment Alterations in Endometrial Cancer by Zhangxin Wu, Yufei Nie, Deshui Kong, Lixiang Xue, Tianhui He, Kuaile Zhang, Jie Zhang, Chunliang Shang, Hongyan Guo

“…Tumor immune infiltration patterns were evaluated using single-sample Gene Set Enrichment Analysis (ssGSEA), Estimation of Stromal and Immune Cells in Malignant Tumors using Expression Data (ESTIMATE), and Tumor Immune Dysfunction and Exclusion (TIDE) algorithms. …”
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Exploring the Potential Regulatory Mechanisms of Mitophagy in Ischemic Cardiomyopathy by Li Z, Kong J, Xi S, Jin Z, Yang F, Zhu Z, Liu L

“…Then, an intersection was taken between MSRGs and the differentially expressed genes (DEGs) obtained from the differential expression analysis to obtain DE-MSRGs. Then, biomarkers were identified through machine learning algorithms and Receiver Operating Characteristic curve (ROC) analysis. …”
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Metabolic reprogramming and macrophage expansion define ACPA-negative rheumatoid arthritis: insights from single-cell RNA sequencing by Yafeng Jiang, Zhaolan Hu, Roujie Huang, Kaying Ho, Pengfei Wang, Jin Kang, Jin Kang

“…Immune cell populations were classified based on clustering and marker gene expression, with pseudotime trajectory analysis, weighted gene co-expression network analysis (WGCNA), and transcription factor network inference providing further insights. …”
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Development and Validation of a Critical Thinking Questionnaire: A Case Study of the Lived Experience of Students from the University of Isfahan and Isfahan University of Medical S... by Esmaeil Kashef, Maghsod Farasatkhah, Vahid Ghasemi, Mozhgan Mohammadi Naeni

“…In the quantitative phase, the research methodology was applied characterized by descriptive, non-experimental data collection methods. Data analysis involved correlation and factor analysis techniques. …”
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Artificial intelligence-driven identification and mechanistic exploration of synergistic anti-breast cancer compound combinations from Prunella vulgaris L.-Taraxacum mongolicum Han... by Chunlai Feng, Jiaxi Cheng, Mengqiu Sun, Chunxue Qiao, Qiuqi Feng, Naying Fang, Yingying Ge, Mengjie Rui

“…These superior extracts were subjected to liquid chromatography-mass spectrometry (LC-MS) analysis to identify their constituent compounds. A deep learning-based prediction model, DeepMDS, was applied to predict synergistic anti-breast cancer multi-compound combinations. …”
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Explainable AI for Sensor Signal Interpretation to Revolutionize Human Health Monitoring: A Review by Abdullah S. Alharthi, Ahmed Alqurashi, Turki Essa Alharbi, Mohammed M. Alammar, Nasser Aldosari, Houssem R. E. H. Bouchekara, Yusuf A. Sha'aban, Mohammad Shoaib Shahriar, Abdulrahman Al Ayidh

“…While machine learning (ML) has greatly advanced sensor-based health analysis, its decision-making processes often lack transparency, raising concerns about reliability and clinical adoption. …”
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Drought-induced shifts in cowpea rhizoplane bacterial communities across different vegetative and reproductive stages by Durga P.M. Chinthalapudi, Nisarga Kodadinne Narayana, Sujan Poudel, John P. Brooks, Shankar Ganapathi Shanmugam, Raju Bheemanahalli

“…Further, integration of amplicon metagenomics and physiological data showed that drought significantly altered rhizoplane bacterial communities in cowpea, with distinct genotype-specific responses. …”
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Development and validation of an early predictive model for hemiplegic shoulder pain: a comparative study of logistic regression, support vector machine, and random forest by Qiang Wu, Qiang Wu, Fang Zhang, Yuchang Fei, Zhenfen Sima, Shanshan Gong, Qifeng Tong, Qingchuan Jiao, Hao Wu, Jianqiu Gong, Jianqiu Gong

“…ObjectiveIn this study, we aim to identify the predictive variables for hemiplegic shoulder pain (HSP) through machine learning algorithms, select the optimal model and predict the occurrence of HSP.MethodsData of 332 stroke patients admitted to a tertiary hospital in Zhejiang Province from January 2022 to January 2023 were collected. …”
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Vocational education for people of the third age by P. A. Ambarova, G. E. Zborovsky

“…The empirical material was collected through the following methods: the analysis of educational and demographic statistics (2015–2018); the analysis of the content of recruitment agencies’ websites and media publications devoted to the problems of the “silver” labour market; the secondary analysis of sociological data; the survey ofSverdlovsk region residents aged over 45 years old in February – March 2019.Results and scientific novelty. …”
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Psychometric Evaluation of Large Language Model Embeddings for Personality Trait Prediction by Julina Maharjan, Ruoming Jin, Jianfeng Zhu, Deric Kenne

“…MethodsWe conducted a multistage analysis using 1 million Reddit posts from the PANDORA Big Five personality dataset. …”
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Students as co-designers in health professional education: a scoping review by Élodie Ambrosetti, Cyrille Gaudin, Simon Flandin, Germain Poizat

“…We analyzed the content of these 20 articles using the following categories: basic characteristics (year of publication, country, professional domain, educational grade, topic of the training), co-design characteristics (context and initiative, framework and definition, purposes, stakeholders, process), and study characteristics (aim, research framework, population, data collection and analysis, key findings). Our analysis revealed that co-design in HPE lacks standardized frameworks and rigorous empirical evaluation. …”
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A Transcriptomic Biomarker for Predicting the Response to TACE Correlates with the Tumor Microenvironment and Radiomics Features in Hepatocellular Carcinoma by Wang C, Leng B, You R, Yu Z, Lu Y, Diao L, Jiang H, Cheng Y, Yin G, Xu Q

“…Differentially expressed gene analysis and machine learning algorithms were used to identify genes for constructing the TACE failure signature (TFS). …”
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Peer education intervention reduced sexually transmitted infections among male Tajik labor migrants who inject drugs: results of a cluster-randomized controlled trial by Mary Ellen Mackesy-Amiti, Judith A. Levy, Casey M. Luc, Jonbek Jonbekov

“…This analysis draws on data from this parent study to investigate if these observed changes in safer sex translated into fewer reported STIs over 12 months. …”
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The value-added model of the supply chain of petrochemical industries with a sustainable development approach by ali amiri, seyed abbas heydari, vahidreza Mirabi

“…MATLAB software was used for data analysis. In the library analysis, 16 main components were identified and entered into the Delphi technique, and finally all were confirmed. …”
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Implementation of a patient safety policy in hospitalisation of surgical cases by Kristiani Rina Budi, Orizani Chindy Maria, Iswati Iswati, Qomariah Siti Nur, Bakar Abu, Yobel Sosilo

“…Multiple logistic regression analysis was used to examine the data. Results: Most nurses have worked in medical-surgical for 6-10 years with work hours 40-59 every week. …”
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Exploration of employability skills among Osun state undergraduate students in the era of 4IR by Oluwaseyi Aina Gbolade Opesemowo, Rukayat Oyebola Iwintolu, Temiloluwa Faith Odeyemi, Titilope Rachael Opesemowo

“…Abstract The fourth industrial revolution (4IR) refers to the continuing transformation driven by technological advancements such as artificial intelligence (AI), robotics, big data, and other emerging technologies, shaping industries and workforces globally. …”
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Smart Campuses: Extensive Review of the Last Decade of Research and Current Challenges by Tommy Chagnon-Lessard, Louis Gosselin, Simon Barnabe, Tunde Bello-Ochende, Sebastian Fendt, Sebastian Goers, Luiz Carlos Pereira Da Silva, Benedikt Schweiger, Richard Simmons, Annelies Vandersickel, Peng Zhang

“…The 182 selected publications are distributed into seven categories of smartness: smart building, smart environment, smart mobility, smart living, smart people, smart governance and smart data. The main open questions and challenges regarding smart campuses are presented at the end of the review and deal with sustainability and energy transition, acceptability and ethics, learning models, open data policies and interoperability. …”
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