Examining predictors of perceived usefulness of learning management system from the perspectives of distance learning students: an application of the information success model by Amjid Khan, Arshad Hussain Afridi, Muhammad Kamal Khan, Pervaiz Ahmad

“…These empirical results have proved that online and distance learning (ODL) students in Pakistan are adopting web-based integrated systems and/or LMS to fulfill their educational and learning needs. …”
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Development and interpretation of machine learning-based prognostic models for predicting high-risk prognostic pathological components in pulmonary nodules: integrating clinical fe... by Dingxin Wang, Jianhao Qiu, Rongyang Li, Hui Tian

“…Lasso regression was utilized in order to identify key features, and a machine learning prediction model was constructed based on the screened key features. …”
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How do residents perceive urban parks? A cross-geographic comparison based on online reviews by Lijuan Yang, Qiuhong Wu

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Computationally unmasking each fatty acyl C=C position in complex lipids by routine LC-MS/MS lipidomics by Leonida M. Lamp, Gosia M. Murawska, Joseph P. Argus, Aaron M. Armando, Radu A. Talmazan, Marlene Pühringer, Evelyn Rampler, Oswald Quehenberger, Edward A. Dennis, Jürgen Hartler

“…Accordingly, C=C position information is now readily accessible for large-scale high-throughput studies with any MS/MS instrumentation and ion activation method.…”
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Point Cloud Completion of Occluded Corn with a 3D Positional Gated Multilayer Perceptron and Prior Shape Encoder by Yuliang Gao, Zhen Li, Tao Liu, Bin Li, Lifeng Zhang

“…The Shape Coding PointAttN (SCPAN) algorithm is also proposed, which is based on PointAttN. The model’s structure is simplified to output sparse point clouds and minimize computational complexity, and a gated multilayer perceptron (MLP) containing 3D position coding is introduced to enhance the model’s spatial awareness. …”
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Intra- and peri-tumoral radiomics based on dynamic contrast-enhanced MRI for prediction of benign disease in BI-RADS 4 breast lesions: a multicentre study by Yalan Hu, Zhenhai Cai, Nijiati Aierken, Yueqi Liu, Nan Shao, Yawei Shi, Mengmeng Zhang, Yangling Hu, Xiaoling Zhang, Ying Lin

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SBOA: A Novel Heuristic Optimization Algorithm by Qi Diao, Apri Junaidi, WengHowe Chan, Azland Mohd Zain Zain, Hao long Yang

“… A new human-based heuristic optimization method, named the Snooker-Based Optimization Algorithm (SBOA), is introduced in this study. …”
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Predicting abatacept retention using machine learning by Rieke Alten, Claire Behar, Pierre Merckaert, Ebenezer Afari, Virginie Vannier-Moreau, Anael Ohayon, Sean E. Connolly, Aurélie Najm, Pierre-Antoine Juge, Gengyuan Liu, Angshu Rai, Yedid Elbez, Karissa Lozenski

“…Abstract Background The incorporation of machine learning is becoming more prevalent in the clinical setting. …”
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Impact of serum calcium levels on the occurrence of sepsis and prognosis in hospitalized patients with concomitant psoriasis: a retrospective study based on the MIMIC-IV database by Xiaolong Zheng, Qianjin Su, Yedi Wang, Xuefeng Geng

“…Machine learning techniques, along with logistic regression, Cox regression, group-based trajectory modeling (GBTM), and mediation analysis, were employed to assess the influence of serum calcium levels and other clinical indicators on the occurrence of sepsis and all-cause mortality.ResultsSerum calcium exhibits a significant inverse correlation with the occurrence of sepsis [odds ratio (OR) =0.351, 95% CI: 0.265-0.463, P<0.001]. …”
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JEDAN: Joint Euclidean Distance and Autoencoder Network for Robust Out-of-Distribution Detection in Radar-Based Hand Gesture Recognition by Muhammad Ghufran Janjua, Kevin Kaiser, Thomas Stadelmayer, Stephan Schoenfeldt, Vadim Issakov

“…To the best of our knowledge, this is the first OOD detection architecture specifically tailored for radar-based gesture recognition that integrates the strengths of Euclidean distance-based layer and reconstruction-based OOD methods in a unified framework, paving the way for more robust real-world applications.…”
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Prediction of particulate matter PM2.5 level in the air of Islamabad, Pakistan by using machine learning and deep learning approaches by Muhammad Waqas, Shahid Noor Jan, Basir Ullah, Afed Ullah Khan, Ateeq Ur Rauf, Bakht Niaz Khan

“…This study focused on predicting PM2.5 in the air of Islamabad, capital of Pakistan by using machine learning and deep learning models. Materials and methods: Two machine learning models (Decision Tree and Random Forest) and four deep learning models including Multi-Layer Neural Network (MLNN), Long Short-Term Memory (LSTM), Recurrent Neural Network (RNN), Gated Recurrent Unit (GRU) are used in the study. …”
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Self-talk (positive and negative) and its relationship to Athletic Fears withen the advanced players of Mosul City Center club’s by هشام محمد علي السيدية أ.د ثامر محمود ذنون

“…Designing an advisory program based on positive self-talk to reduce the degree of sports concerns among the advanced players in the Mosul City Centre clubs. …”
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Optimal ensemble-based framework for ground-fault protection in radial MV distribution networks with resonant grounding by Boštjan Polajžer, Younes Mohammadi, Thomas Olofsson, Gorazd Štumberger

“…Compared to other machine-learning-based methods used for Ph-G fault protection in resonant-grounded radial networks, this framework is high-performing, fast, and easy to implement, utilizing a simpler structure than neural networks.…”
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Image-Based Detection and Classification of Malaria Parasites and Leukocytes with Quality Assessment of Romanowsky-Stained Blood Smears by Jhonathan Sora-Cardenas, Wendy M. Fong-Amaris, Cesar A. Salazar-Centeno, Alejandro Castañeda, Oscar D. Martínez-Bernal, Daniel R. Suárez, Carol Martínez

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DSMF-Net: A One-Stage SAR Ship Detection Network Based on Deformable Strip Convolution and Multiscale Feature Refinement and Fusion by Xingyu Liu, Jun Pan, Rong Hu, Wenli Huang, Jiawei Lin, Jiarui Hu

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YOLOv9-Based Human Face Detection and Counting Under Human-Animal Faces, Complex Imaging Environments, and Image Qualities by Sivaranjini Perikamana Narayanan, M. Sabarimalai Manikandan, Linga Reddy Cenkeramaddi

“…Evaluation results demonstrate that the YOLOv9-based face counting outperforms most of the state-of-the-art face detection and people counting methods with a mean absolute error (MAE) of 3.36 and root mean square error (RMSE) of 22.38. …”
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Development and evaluation of an Android-based multimedia application to promote healthy lifestyles in physical education: A study at State Junior High School 29 Semarang by Galang Yusuf Pujiyanto, Ibnu Fatkhu Royana, Muh. Isna Nurdin Wibisana

“…Background: The integration of interactive, technology-based media in Physical Education, particularly for teaching health-related content, remains limited despite its potential to enhance student engagement and learning outcomes. …”
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MFAFNet: Multi-Scale Feature Adaptive Fusion Network Based on DeepLab V3+ for Cloud and Cloud Shadow Segmentation by Yijia Feng, Zhiyong Fan, Ying Yan, Zhengdong Jiang, Shuai Zhang

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Identification and validation of tissue-based gene biomarkers for acute intestinal graft-versus-host disease(AIGVHD) by Hong Chen, Hong Chen, Hong Chen, Hong Chen, Hong Chen, Hong Chen, Liyu Fu, Liyu Fu, Liying Liu, Liying Liu, Yunyan He, Yunyan He, Yunyan He, Yunyan He, Yunyan He

“…The primary aim of the present study is to identify tissue-based gene biomarkers pertinent to AIGVHD, thereby facilitating early diagnosis and exploration of potential therapeutic targets.MethodThe dataset was obtained from the GEO database. …”
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Efficient Data Collection Method in Sensor Networks by Keyan Cao, Haoli Liu, Yefan Liu, Gongjie Meng, Si Ji, Gui Li

“…Then, the sensor network in the dynamic environment is analyzed based on the static environment. An efficient data collection algorithm based on the position prediction of extreme learning machines is proposed. …”
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