Empirical Evaluation of the Relative Range for Detecting Outliers by Dania Dallah, Hana Sulieman, Ayman Al Zaatreh, Firuz Kamalov

“…Outlier detection plays a key role in data analysis by improving data quality, uncovering data entry errors, and spotting unusual patterns, such as fraudulent activities. Choosing the right detection method is essential, as some approaches may be too complex or ineffective depending on the data distribution. …”
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DeepSeek-AI-enhanced virtual reality training for mass casualty management: Leveraging machine learning for personalized instructional optimization. by Zhe Li, Lei Shi, Mingyu Pei, Wan Chen, Yutao Tang, Guozheng Qiu, Xibin Xu, Liwen Lyu

“…Descriptive statistics, error rates, and correlation analyses were performed using R software (version 4.1.2). …”
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Common Glomerular Diseases in Adult Jordanians: A Single-Center Experience by Ahmed Sheyyab, Mohammad Al-thnaibat, Aseel A. Zghayer, Jafar Alsheyyab, Radi Hamed

“…The pattern of glomerular diseases has been reported previously with contradictory results. …”
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The joint impact of road density and width on road network performances —a simulation approach based on macroscopic fundamental diagram by Yingying Ma, Wenyi Xie, Xiaoran Qin, Zebang Liang, Ziyan Guan

“…Using the macroscopic fundamental diagram (MFD) model, we analyzed metrics including MFD scatter dispersion, changes in experimental results with different vehicle arrival patterns, distortion of the MFD image with varying traffic volume, MFD slope variations, and maximum outflow rates. …”
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Evolutionary trajectory and spread of respiratory syncytial virus group A in neonatal cohorts in Pakistan amidst the COVID-19 pandemic by Sana Tamim, Nidia S. Trovao, Julia Paoli, Abdul Ahad, Nazish Badar, Uzma Bashir Aamir, Muhammad Salman, Aamer Ikram

“…These rates later dropped to 10.0% (2021–22), suggesting a possible re-implementation of such measures. …”
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Arthroscopic Fixation of Tibial Plafond Central Depression Pilon Fracture With Percutaneous Jail Screw Technique by Ming Hong Chau, M.B.Ch.B., F.H.K.C.O.S., F.H.K.A.M. (Orthopaedic Surgery), F.R.C.S.Ed. (Orth), M.R.C.S.Ed, Stephanie Ka Ki Liu, M.B.B.S., F.H.K.C.O.S., F.H.K.A.M. (Orthopaedic Surgery), F.R.C.S.Ed. (Orth.), F.H.K.C.O.S. (Rehabilitation), M.R.C.S.Ed

“…One of the most complex patterns is the pilon type of ankle fracture. It is commonly associated with high complication rates. …”
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Detection of Cisplatin Resistance in Bladder Cancer Using Machine Learning by Moditha Reddy Jagannatha Reddy, Mrudula Ranganatha, Shanthala Lakshminarayana, Jayoung Kim, Sungyong Jung, Yuze Sun, Hyusim Park

“…However, the emergence of cisplatin resistance poses significant challenges, contributing to high recurrence rates. This study investigates the mechanisms of cisplatin resistance in BC through the application of Machine Learning (ML) models, including Association Rule Mining, K-mode Clustering, and Decision Tree Classifier. …”
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A Dynamic Spatio-Temporal Deep Learning Model for Lane-Level Traffic Prediction by Bao Li, Quan Yang, Jianjiang Chen, Dongjin Yu, Dongjing Wang, Feng Wan

“…The temporal features are extracted with the gated recurrent unit (GRU). Then, we adaptively fuse spatial and temporal features with the gating mechanism to get the final spatio-temporal features for lane-level traffic prediction. …”
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Integrated Feature-Temporal GAN for Imbalanced Transaction Fraud Detection by Yicen Zheng, Yu Xie, Jiamin Yao

“…IFT-GAN introduces two key innovations: 1) A Feature-Aware Sample Selection (FASS) module that employs Fisher score-based feature ranking and weighted k-means clustering to create a balanced subset enriched with discriminative fraud signatures; and 2) A Temporal Dependency GAN (TD-GAN) architecture employing a novel Time-aware Gated Recurrent Unit (TaGRU) in both the generator and discriminator, explicitly modeling the temporal intervals between transactions through adaptive temporal gating. …”
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Federated-Learning-Based Strategy for Enhancing Orbit Prediction of Satellites by Jiayi Tang, Wenxin Li, Qinchen Zhao, Hongmei Chi

“…The server optimizes the global model through the Federated Averaging algorithm, learning more orbital patterns and enhancing accuracy. Experimental results confirm the method’s effectiveness, with a marked increase in prediction accuracy compared to traditional methods, validating federated learning’s advantage. …”
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Enhanced Wind Energy Forecasting Using an Extended Long Short-Term Memory Model by Zachary Barbre, Gang Li

“…The xLSTM model incorporates two key innovations: exponential gating with memory mixing and a novel matrix memory structure. …”
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Sentiment Analysis and Trend Mapping of Hotel Reviews Using LSTM and GRU by Yerik Afrianto Singgalen

“…This study explores applying Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models for sentiment analysis and trend mapping of hotel reviews, specifically focusing on customer feedback from Hotel Vila Ombak in Lombok, Indonesia. …”
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Phase Wise Classification of Abnormal Gait in Children With Cerebral Palsy Using Hybrid Neural TEMPODE Deep Learning Techniques by Yelle Kavya, S.Sofana Reka

“…The neurological condition known as Cerebral Palsy which affects motor control, frequently results in abnormal gait patterns that have a major negative influence on mobility and quality of life. …”
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DFANet: A Deep Feature Attention Network for Building Change Detection in Remote Sensing Imagery by Peigeng Lu, Haiyong Ding, Xiang Tian

“…Second, we introduce a GatedConv module to improve the network’s capability for building edge detection. …”
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Analysis and Research on Associated Elements Nb, Zr, Ga and Sc in Sedimentary Rare Earth Ores by Shujun LIU, Lu XU, Daxing GONG, Jianchun YI, Chaohui ZHAO

“…A preliminary exploration of their distribution patterns during selective leaching processes was also conducted. …”
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Censoring Sensitivity Analysis for Benchmarking Survival Machine Learning Methods by János Báskay, Tamás Mezei, Péter Banczerowski, Anna Horváth, Tamás Joó, Péter Pollner

“…The framework systematically reduced observation periods and increased censoring rates while measuring performance through multiple metrics following Bayesian hyperparameter optimization. (3) Results: Model performance showed greater sensitivity to increased censoring rates than to reduced observation periods. …”
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Socioeconomic and locational disparities in primary education completion in Burkina Faso by Lazarus Obed Livingstone Banda

“…Design/methodology/approach – Using a quantitative, non-experimental approach, the study analyzes nationally representative secondary data using hierarchical linear modeling, binary logistic regression and propensity score matching (PSM) to assess correlational patterns in completion rates. Findings – The results indicate significant regional and urban-rural disparities in completion rates, with urban students showing markedly higher odds of completing primary education than their rural peers. …”
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Patient Adherence for Oral Combination Therapies in Diabetes Management: A Scoping Review by Maryam Zarrinkamar, Mojgan Geran, Mohammad Geran

“…Dual therapy regimens demonstrated adherence rates ranging from 49% to 80.8%, while FDC therapies showed adherence rates ranging from 60.3% to 98.9%. …”
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The major risk factor of stroke across Indonesia; a nationwide geospatial analysis of universal health coverage program by Andi Alfian Zainuddin, Rais Reskiawan A. Kadir, Hedi Kuswanto, Jumraini Tammasse, Nurul Qalby, Andi Afdal Abdullah, Ari Andini Junaidi, Al Asyary

“…Methods The data were collected from the Social Health Insurance Administration Body, which manages Indonesia’s universal health coverage, between 2017 and 2022. Crude incidence rates for the diseases were calculated and spatial distribution patterns were analyzed using Global and local Moran analysis. …”
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Electrical Activity of the Gastrointestinal Tract in Critically Ill Patients by E. V. Alekseeva, T. S. Popova, P. S. Salnikov, G. A. Baranov, I. N. Pachechnik

“…With an increase in the total severity of the condition and in the magnitude of IF regardless of the disease profile, there were unilateral GIT EA changes, their moderate and rather high correlation with APACHE II, SAPS II, SOFA, LOD scores, IF stage — with 28-day survival rates. The use of glutamine provided an increase in 28-day survival rates in patients with an APACHE II score of > 15 scores and type 2 GIT EA. …”
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