Seismic Behavior of Active Faults Through Multisource Optical Imagery: From Satellite to Drone Resolution (case study: The North Zanjan fault) by F. Abedi, Z. Masoumi, Z. Masoumi, E. Shabanian, S. Salvi, S. Pucci

“…Drone surveys at five locations provide high-resolution data (1:500 scale), revealing an average single-event oblique displacement of 1.10 m. …”
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Understanding user acceptance of mobility-as-a-service in Jakarta Metropolitan Area (JMA): Influencing factors and behavioural insights by Yos Sunitiyoso, Prawira Fajarindra Belgiawan, Muhamad Rizki, Valid Hasyimi

“…Driven by theoretical constructs of the technology acceptance model, a set of motivational factors and choice scenarios, a behavioural model is conceptualised to explore individuals’ willingness to adopt MaaS in the JMA. Using data from 1,005 respondents collected in a survey, structural equation modelling (SEM), cluster analysis and choice modelling were conducted. …”
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The Attitude of Healthcare Workers to Safe use of Medical Instruments in a Training and Research Hospital by Filiz Özyiğit, Ayşegül Küçük, Özlem Altuntaş, İnci Arıkan, Hayat Kumbasar, Sibel Fener, Birgül Kahraman

“…Statistical analysis was performed using SPSS 21.0 and data were analyzed using the t-test and ANOVA. …”
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Machine Learning-Enhanced 3D GIS Urban Noise Mapping with Multi-Modal Factors by Jianping Pan, Yuzhe He, Wei Ma, Shengwang An, Lu Li, Dan Huang, Dunxin Jia

“…Furthermore, there is a lack of a system that can effectively integrate noise data with three-dimensional scenes for simulation. …”
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Human Metapneumovirus Infection is Associated with Severe Respiratory Disease in Preschool Children with History of Prematurity by Krishna Pancham, Iman Sami, Geovanny F. Perez, Shehlanoor Huseni, Bassem Kurdi, Mary C. Rose, Carlos E. Rodriguez-Martinez, Gustavo Nino

“…Respiratory distress scores were developed to examine the clinical severity of HMPV infections. …”
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Studying the temporal bias of the steady-state approximation of 234Th-derived carbon export during phytoplankton blooms by Mingxian Guo, Mingxian Guo, Peng Xiu, Peng Xiu, Kuanbo Zhou, Kuanbo Zhou

“…Applying this term to the data obtained at the Bermuda Atlantic time series and SEATS reduced the bias by up to 67% and 34%, respectively. …”
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Diabetic ketoacidosis and hyperglycaemic hyperosmolar syndrome in patients with cancer: A multicentre study by Rabia K. Shahid, Qasem Haider, Sunil Yadav, Duc Le, Shahid Ahmed

“…Background: Diabetic ketoacidosis (DKA) and hyperglycaemic hyperosmolar syndrome (HHS) are life-threatening complications of diabetes mellitus. However, limited data about DKA and HHS are available in patients with cancer. …”
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A KAN-based interpretable framework for prediction of global warming potential across chemical space by Jaewook Lee, Xinyang Sun, Ethan Errington, Calum Drysdale, Miao Guo

“…XAI analysis further highlights the crucial role of process-related features, particularly process title embeddings, in enhancing model predictions. …”
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Effectiveness of three machine learning models for prediction of daily streamflow and uncertainty assessment by Luka Vinokić, Milan Dotlić, Veljko Prodanović, Slobodan Kolaković, Slobodan P. Simonovic, Milan Stojković

“…This study evaluates three Machine Learning (ML) models—Temporal Kolmogorov-Arnold Networks (TKAN), Long Short-Term Memory (LSTM), and Temporal Convolutional Networks (TCN)—focusing on their capabilities to improve prediction accuracy and efficiency in streamflow forecasting. We adopt a data-centric approach, utilizing large, validated datasets to train the models, and apply SHapley Additive exPlanations (SHAP) to enhance the interpretability and reliability of the ML models. …”
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Deep Learning Forecast of Semidiurnal Internal Tides From the Mariana Arc by Shuipang Liu, Zhenhua Xu, Jia You, Peiwen Zhang, Xiaofeng Li, Zhongya Cai

“…In this study, we develop a data‐driven deep learning model, named BiLSTM‐Transformer‐ANN (BILTA). …”
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Investigating Nurses\' Intention to Stay in Intensive Care Units and Associated Factors at Medical Training Centers of Mazandaran University of Medical Sciences, Sari, in 2023 by Mohammad Ali Heidari Gorji, Razieh Moalemian Gorji, Mahbobeh Yaghoubian, Abolfazl Hossein Nataj, Fereshteh Araghian Mojarad

“…Background and purpose: Understanding the factors influencing nurse retention and developing effective strategies to address the ongoing nursing shortage is crucial. …”
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An integrated empirical and computational study to decipher help-seeking behaviors and vocal stigma by Aaron R. Glick, Colin Jones, Lisa Martignetti, Lisa Blanchette, Theresa Tova, Allen Henderson, Marc D. Pell, Nicole Y. K. Li-Jessen

“…Network analysis was performed to evaluate the effect of social network structure on the flow of IMB among virtual agents. …”
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Prospective role of VEGF in the association between periodontitis and psoriasis: a scoping review by Constanza Jiménez, Camila Salazar, Constanza Pérez, David González-Quintanilla, Denisse Bravo, Alejandra Fernández

“…Two independent reviewers performed title and abstract screening, followed by full-text analysis and data extraction. Results: Twelve studies were included. …”
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Crushing Force Prediction Method of Controlled-Release Fertilizer Based on Particle Phenotype by Linlin Sun, Xiubo Chen, Zixu Chen, Linlong Jing, Jinxing Wang, Xinpeng Cao, Shenghui Fu, Yuanmao Jiang, Hongjian Zhang

“…A principal component analysis was applied for data reduction, and the optimal parameters for the support vector machine (SVM) were selected using particle swarm optimization (PSO) combined with k-fold cross-validation. …”
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Optimizing Stroke Risk Prediction: A Primary Dataset‐Driven Ensemble Classifier With Explainable Artificial Intelligence by Md. Maruf Hossain, Md. Mahfuz Ahmed, Md. Rakibul Hasan Rakib, Mohammad Osama Zia, Rakib Hasan, Md. Rakibul Islam, Md. Shohidul Islam, Md Shahariar Alam, Md. Khairul Islam

“…Methods We applied several preprocessing techniques, including outlier detection, data normalization, k‐means clustering, and missing value detection, to refine the datasets. …”
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Association between the atherogenic index of plasma and testosterone deficiency in American adults: a cross-sectional study from NHANES 2011–2016 by Yanghao Tai, Bin Chen, Yingming Kong, Jiwen Shang

“…Our researcher utilized smoothed curve fitting and multivariate logistic or linear regression analysis to inspect the relationship between AIP and TD among adult males. …”
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Impact of dietary chia seed supplementation on body weight, breast meat proximate composition, hematological and biochemical parameters, and gut health in broiler chickens by Popy Khatun, Sabbya Sachi, Rafiqul Islam, Kazi Rafiq, Purba Islam, Bapon Dey, Muhammad Tofazzal Hossain, Md. Zahorul Islam

“…Abstract The use of natural feed additives in poultry nutrition have been developed due to concerns over antibiotic resistance and consumer demand for healthier meat. …”
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Flood risk mapping and performance efficiency evaluation of machine learning algorithms: Best practice in northern Iran by M. Shirmohammadi, M. Shirmohammadi, S. Pirasteh, W. Li, D. Mafi-Gholami

“…For the analysis, we selected a comprehensive set of environmental and geographical parameters influencing flood susceptibility. …”
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Spatial–Temporal Characteristics, Source Apportionment, and Health Risks of Atmospheric Volatile Organic Compounds in China: A Comprehensive Review by Yangbing Wei, Xuexue Jing, Yaping Chen, Wenxin Sun, Yuzhe Zhang, Rencheng Zhu

“…However, current research on atmospheric VOCs mainly focuses on specific regions or industries, without comprehensive national-level analysis. In this study, a total of 99 articles on atmospheric VOCs in China published from 2015 to 2024 were screened, and data on their concentrations, source apportionment, and health risks were extracted and summarized. …”
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Outcomes of Nissen sleeve gastrectomy in a short‑term follow‑up: a new future? by Paweł Lech, Dominika Mysiorska, Julia Młyńska, Emilia Szymborska, Natalia Dowgiałło-Gornowicz

“…Inclusion criteria comprised age over 18 years, eligibility for metabolic and bariatric surgery, and GERD symptoms. Data on GERD severity and weight loss outcomes were collected before and after the surgery. …”
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