Comprehensive Analysis of Programmed Cell Death-Related Genes in Diagnosis and Synovitis During Osteoarthritis Development: Based on Bulk and Single-Cell RNA Sequencing Data by Zhou J, Jiao S, Huang J, Dai T, Xu Y, Xia D, Feng Z, Chen J, Li Z, Hu L, Meng Q

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Characterizing Duodenal Immune Microenvironment in Functional Dyspepsia: An AutoML-Driven Diagnostic Framework by Zhang X, Fan X, Hu X, Qian Z, Li J, Wu W, Chen L, Wu S, Ma L, Yang C, Zhang T, Su X, Wei W

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Combined Analysis of Transcriptome and Mendelian Randomization Reveals AKT1 and PPARG as Biomarkers Related to Glucose Metabolism in Sepsis by Ma J, Li W, Ma Q, Ding L, Wang Z, Wang R, Huang Y, Ma G, Gao J

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A Cross-Product Analysis of Earphone Reviews Using Contextual Topic Modeling and Association Rule Mining by Ugbold Maidar, Minyoung Ra, Donghee Yoo

“…Moreover, we focused on algorithm selection to improve the model’s performance and efficiency, ensuring effective compatibility with our sentiment analysis framework. …”
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Improving PM2.5 and Visibility Predictions in China Using Machine Learning and Ensemble Forecasting by Ziyin Zhang, Jing Xu, Xiujuan Zhao, Siyu Cheng

“…By integrating RMAPS‐Chem, machine learning, and ensemble algorithms, this research provides a powerful tool for earlier and more accurate haze pollution predictions, thereby supporting more effective air pollution control and informed scientific decision‐making.…”
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Uncertainty Quantification of Geophysical and Hydrologic Parameters Estimated From Borehole Nuclear Magnetic Resonance Data by Burke J. Minsley, Stephanie N. Phillips, Stephanie R. James

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Machine Learning-Based Classification of Turkish Music for Mood-Driven Selection by Nazime Tokgöz, Ali Değirmenci, Ömer Karal

“…Music holds a significant role in our daily lives, and its impact on emotions has been a focal point of research across various disciplines, including psychology, sociology, and statistics. …”
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Characterization of Cuproptosis-Related LncRNAs Prognostic Signature and Identification of LINC02285 as a Novel Biomarker for Ovarian Cancer by Lei H, Zhou Z, Liu C, Chen W, Li Y, Shu G, Wang M, Guo K, Pan Q, Yin G

“…Han Lei,1 Zhengwei Zhou,1 Chang Liu,2 Weiting Chen,2 Yu Li,3 Guang Shu,1 Maonan Wang,1 Ke Guo,4 Qiong Pan,5 Gang Yin1,6,7 1Department of Pathology, Xiangya Hospital, Xiangya School of Basic Medical Science, Central South University, Changsha, People’s Republic of China; 2Xiangya School of Basic Medical Science, Central South University, Changsha, People’s Republic of China; 3Intensive Care Unit for Children, Xiangtan Central Hospital, Xiangtan, People’s Republic of China; 4Department of Neurology, The Third Xiangya Hospital of Central South University, Changsha, People’s Republic of China; 5Department of Obstetrics and Gynecology, The Third Xiangya Hospital of Central South University, Changsha, People’s Republic of China; 6China-Africa Research Center of Infectious Diseases, Xiangya School of Basic Medical Science, Central South University, Changsha, People’s Republic of China; 7National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, People’s Republic of ChinaCorrespondence: Qiong Pan, Email 1517682924@qq.com Gang Yin, Email gangyin@csu.edu.cnBackground: Cuproptosis, a novel form of cell death triggered by copper ion accumulation, has shown potential in cancer therapy, particularly through the involvement of cuproptosis-related lnRNAs (CRLs). …”
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Integrated Single-Cell and Spatial Transcriptomic Analysis Identifies ISR-Related Genes Driving Immune Regulation in Parkinson’s Disease by Jiang H, Zhang X, Feng S, Feng W

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Interval velocity determination by downward continuation of the traveltime function: Paraxial ray approximation by Montes Vides Luis

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Sensor-Derived Measures of Motor and Cognitive Functions in People With Multiple Sclerosis Using Unsupervised Smartphone-Based Assessments: Proof-of-Concept Study by Matthew Scaramozza, Aurélie Ruet, Patrizia A Chiesa, Laïtissia Ahamada, Emmanuel Bartholomé, Loïc Carment, Julie Charre-Morin, Gautier Cosne, Léa Diouf, Christine C Guo, Adrien Juraver, Christoph M Kanzler, Angelos Karatsidis, Claudia Mazzà, Joaquin Penalver-Andres, Marta Ruiz, Aurore Saubusse, Gabrielle Simoneau, Alf Scotland, Zhaonan Sun, Minao Tang, Johan van Beek, Lauren Zajac, Shibeshih Belachew, Bruno Brochet, Nolan Campbell

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Evaluating the Accuracy and Reliability of Real-World Digital Mobility Outcomes in Older Adults After Hip Fracture: Cross-Sectional Observational Study by Martin A Berge, Anisoara Paraschiv-Ionescu, Cameron Kirk, Arne Küderle, Encarna Micó-Amigo, Clemens Becker, Andrea Cereatti, Silvia Del Din, Monika Engdal, Judith Garcia-Aymerich, Karoline B Grønvik, Clint Hansen, Jeffrey M Hausdorff, Jorunn L Helbostad, Carl-Philipp Jansen, Lars Gunnar Johnsen, Jochen Klenk, Sarah Koch, Walter Maetzler, Dimitrios Megaritis, Arne Müller, Lynn Rochester, Lars Schwickert, Kristin Taraldsen, Beatrix Vereijken

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Peculiarities of Dental Treatment among Paediatric Oncological Patients: a Case Report by Egle Aida Bendoraitiene, Vilija Andruskeviciene, Gabriele Kscenaviciute, Evelina Srebaliene, Ieva Maciulaityte

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Severity analysis of property damage in highway accidents by Yucong Hu, Wenhan Shi, Hu Wei, Qiang Zeng

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Detection of Incipient Faults in Power Transformers using Fuzzy Logic and Decision Tree Models Based on Dissolved Gas Analysis by Felix Olowolafe, Kehinde Olukunmi Alawode

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Urban bus networks’ emergency management for interdicting major emerging infectious diseases’ early transmission by Yue Pan, Ruojian Li, Hongsheng Qi

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Analysis of Energy Consumption in a Federated Learning-Based Zero-Touch Network by Urooj Yousuf Khan, Musharaf Ali Talpur, Umme Laila, Samar Raza Talpur

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Integrating Gut Microbiome and Metabolomics with Magnetic Resonance Enterography to Advance Bowel Damage Prediction in Crohn’s Disease by Huang L, Meng J, Lin S, Peng Z, Zhang R, Shen X, Zheng W, Zheng Q, Wu L, Wang X, Wang Y, Mao R, Sun C, Li X, Feng ST

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A Machine Learning Model for Predicting Breast Cancer Recurrence and Supporting Personalized Treatment Decisions Through Comprehensive Feature Selection and Explainable Ensemble Le... by Lee TF, Shiau JP, Chen CH, Yun WP, Wuu CS, Huang YJ, Yeh SA, Chen HC, Chao PJ

“…An ensemble learning model was developed based on multiple machine learning algorithms, with SHAP (Shapley additive explanations) used for interpretability.Results: The ensemble model achieved an AUC of 0.817, outperforming the best single model (AUC 0.711), demonstrating improved predictive accuracy and stability. …”
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A factor analytic structure of the conceptions of mathematics scale among pre-service mathematics teachers in South-West Nigeria by Adeneye Olarewaju Awofala, Abisola Olusola Lawani, Chidinma O. Oraegbunam

“…An exploration of factor analytic structure of the conceptions of mathematics scale among pre-service mathematics teachers in SouthWest Nigeria was conducted as evidence suggests paucity of research on psychometric properties of the conceptions of mathematics scale in Nigeria.This article through instrumentation research methodology reports the reliability and validity of the Conceptions of Mathematics Scale based on the responses of 228 pre-service mathematics teachers from five public universities in South-West Nigeria. …”
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