A higher burden of post-stroke depression and anxiety and their predictors among stroke survivors in the Amhara Regional State, Ethiopia, in 2024: a prospective multicenter study by Biruk Lelisa Eticha, Ermias Solomon Yalew, Destaw Marie Merawie, Samuel Teferi Chanie, Kaleb Assegid Demissie, Biruktawit Lelisa Eticha

“…Descriptive statistics were taken into consideration to provide a broad overview of the data and distribution of conditions. Additionally, binary logistic regression was used to find predictors with a p-value of less than 0.2 that could be subjected to multivariate logistic regression analysis, which was used to find the significant associated factors. …”
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A comprehensive evaluation of oversampling techniques for enhancing text classification performance by Salimkan Fatma Taskiran, Bahaeddin Turkoglu, Ersin Kaya, Tunc Asuroglu

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Competence region estimation for black-box surrogate models by Tapan Shah

“… • We propose 2 future research areas, a) dynamic quan-tizer update where the model is trained using stream-ing data and the quantizer is updated after each batchand b) precision re-allocation under budget constraintswhere different precision is used for different features.…”
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Defining and Analyzing Nervousness Using AI-Based Facial Expression Recognition by Hyunsoo Seo, Seunghyun Kim, Eui Chul Lee

“…This study presents a mathematical and computational framework for defining and classifying nervousness using facial expression data projected onto a valence–arousal (V–A) space. …”
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ML‐UrineQuant: A machine learning program for identifying and quantifying mouse urine on absorbent paper by Warren G. Hill, Bryce MacIver, Gary A. Churchill, Mariana G. DeOliveira, Mark L. Zeidel, Marcelo Cicconet

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Vibration Reduction Effect of Steel Spring Floating Slabs under Water Immersion Conditions by YUAN Dehao, ZHANG Hongliang, YANG Lin, ZHOU Yu, NIU Xiaoli

“…The accuracy of the model is validated using field data. The isolator stiffness and train speed affecting the vibration reduction performance of the water-immersed floating slab under train load action is analyzed. …”
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Study on aerodynamic drag and noise reduction of high-speed pantograph with streamwise holes by Tian Li, Deng Qin, Xiang Kan, Jiye Zhang

“…The research results can provide data support and reference for the development of higher speed pantograph.…”
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Generating cervical anatomy labels using a deep ensemble multi-class segmentation model applied to transvaginal ultrasound images by Alicia B. Dagle, Yucheng Liu, Madeline Skeel, Gabriel G. Trigo, David Crosby, Helen Feltovich, Michael House, Qi Yan, Kristin M. Myers, Sachin Jambawalikar

“…This study utilizes an ensemble of deep learning-based multi-class segmentation models trained on diverse TVUS data (N = 246) and evaluated on an out-of-distribution dataset (N = 29). …”
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Grounding Fault Diagnosis of Running Rails Based on a Multi-scale One-Dimensional Convolutional Neural Network in a DC Subway System by Guifu Du, Na Liu, Dongliang Zhang, Qiaoyue Li, Jianxiang Sun, Xingxing Jiang, Zhongkui Zhu

“…Firstly, a platform for the dynamic distribution of SC and rail potential (RP) with grounding faults existing in the running rails is established, which generates the dynamic RP data with various grounding faults. …”
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Audio-Language Datasets of Scenes and Events: A Survey by Gijs Wijngaard, Elia Formisano, Michele Esposito, Michel Dumontier

“…The survey also analyzes data leakage through CLAP embeddings, and examines sound category distributions to identify imbalances. …”
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A Hybrid Automata-Driven Machine Learning Framework for Real-Time Energy Optimization in Smart Buildings by Rikame Rajashri, Ranjan Mritunjay Kr., Jadhav Monali, Wankhede Shrushti, Bankar Sakshi, Bachhav Pranjal

“…These inputs train the predictive models like Random Forest, XGBoost, LightGBM, and Neural Networks to predict energy requirements. …”
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Federated learning-enhanced generative models for non-intrusive load monitoring in smart homes by Yuefeng Lu, Shijin Xu, Yadong Liu, Xiuchen Jiang

“…Abstract Non-Intrusive Load Monitoring (NILM) estimates load-specific power by disaggregating household-level power data, enabling smart grids to provide more accurate power estimations and thus prevent energy waste and casualties. …”
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Prevalence, genotype diversity, and zoonotic potential of bovine rotavirus A in Amhara National Regional State, Ethiopia: A multicenter cross-sectional study by Debasu Damtie, Aschalew Gelaw, Yitayih Wondimeneh, Yetemwork Aleka, Zewdu Siyoum Tarekegn, Phillip Davis, Belay Tessema, Anastasia N. Vlasova

“…Clinical data and fecal samples were collected by trained veterinarians. …”
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Sports Orthopedics by Hazzaa Walaa Eldin A, 2, Mattes K

“…Each group completed two tests, with a time interval of 3-7 days. The kinematic data were taken with the help of the three-dimensional measuring and analysis system while running on the treadmill. …”
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Thai Morning Glory Price Forecasting Using Deep Learning by Kanokwan Waeodi, Laor Boongasame, Karanrat Thammarak

“…This study established advanced machine-learning-driven forecasting models to enhance the accuracy of price predictions for Thai morning glory, a widely consumed leafy green vegetable. The models were trained using historical price, weather, and rainfall data using time-series forecasting methods, specifically LSTM and CNN. …”
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Study on the Deformation Characteristics of Railway Subgrade Structures Induced by Groundwater Level Changes by Baolong Li, Lulu Jiang, Dongli Wang, Yi Yin, Yupeng Shen, Yunxi Han

“…The groundwater extraction will lead to a drop in water level, causing a change in the distribution of additional stress in the strata. This phenomenon leads to uneven settlement of the railway subgrade. …”
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Performance Assessment of Natural Survivor Method-Based Metaheuristic Optimizers in Global Optimization and Engineering Design Problems by Hüseyin Bakır

“…NSM-LSHADE-SPACMA_Case2, which was found to be the most powerful of the NSM-based algorithms, is used to solve cantilever beam design, tension/compression spring design, pressure vessel design and gear train design problems. The optimization results are also compared with eight state-of-the-art metaheuristics, including Rime Optimization Algorithm (RIME), Nonlinear Marine Predator Algorithm (NMPA), Northern Goshawk Optimization (NGO), Kepler Optimization Algorithm (KOA), Honey Badger Algorithm (HBA), Artificial Gorilla Troops Optimizer (GTO), Exponential Distribution Optimization (EDO) and Hunger Games Search (HGS). …”
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Predicting Short-Range Weather in Tropical Regions Using Random Forest Classifier by Sellappan Palaniappan, Rajasvaran Logeswaran, Anitha Velayutham, Bui Ngoc Dung

“…We can enhance the model by using real-world data and regional customization.…”
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Explainable correlation-based anomaly detection for Industrial Control Systems by Ermiyas Birihanu, Imre Lendák

“…The optimal window size of the data is determined using Long Short-Term Memory Networks—Autoencoder (LSTM-AE) and the correlation parameter set is extracted using the Pearson correlation. …”
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High-resolution modelling of particulate matter chemical composition over Europe: brake wear pollution by Abhishek Upadhyay, Jianhui Jiang, Yun Cheng, Petros Vasilakos, Ying Chen, Daniel Trejo Banos, Benjamin Flückiger, Manousos I. Manousakas, André S.H. Prévôt, Robin L. Modini, Ana Sánchez de la Campa, Andrea Schemmel, Andrés Alastuey, Benjamin Bergmans, Célia A. Alves, Christoph Hueglin, Cristina Colombi, Cristina Reche, Daniel Sánchez-Rodas, Dario Massabò, Evangelia Diapouli, Federico Mazzei, Franco Lucarelli, Gaëlle Uzu, Imre Salma, Jean-Luc Jaffrezo, Jesús D. de la Rosa, Jolanda E. Reusser, Kostas Elefthariadis, Laurent Y. Alleman, Mark Scerri, Mirko Severi, Olivier Favez, Paolo Prati, Rita Traversi, Roberta Vecchi, Silvia Becagli, Silvia Nava, Sonia Castillo, Sophie Darfeuil, Stuart K. Grange, Xavier Querol, Zsófia Kertész, Giancarlo Ciarelli, Nicole Probst-Hensch, Danielle Vienneau, Jeroen Kuenen, Hugo Denier Van Der Gon, Kaspar R. Daellenbach, Ekaterina Krymova, Kees de Hoogh, Imad El-Haddad

“…The RF model was trained using an unprecedented dataset of over 50,000 daily Cu measurements from 152 sites. …”
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