Psoriatic arthritis in psoriasis: optimizing the current screening system for psoriatic arthritis based on serum data from U.S. and Chinese populations by Zheng Lin, Si-yi Pan, Yue-yi Shi, Xuan Wu, Yuan Dou, Ping Lin, Yi Cao

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Trade-offs between machine learning and deep learning for mental illness detection on social media by Zhanyi Ding, Zhongyan Wang, Yeyubei Zhang, Yuchen Cao, Yunchong Liu, Xiaorui Shen, Yexin Tian, Jianglai Dai

“…Logistic regression provides the advantage of capturing both positive and negative associations between features and mental health conditions, whereas tree-based models prioritize decision-making power through split-based feature selection. …”
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A Novel Method for Traceability of Crude Oil Leakage on Offshore Platforms Based on Improved YOLOv5 Model Multi-Target Identification and Correlation Analysis by Zhenghua Wang, Shihai Zhang, Chongnian Qu, Zongyi Zhang, Feng Sun

“…In order to meet the requirement of oil leakage monitoring on offshore platforms, The paper investigates a method for identifying oil spill targets and potential associated targets that may lead to oil leakage based on the YOLOv5 model. …”
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Patient-reported outcomes and home-based self-swabs for influenza-like illness events - lessons learned from the 2023/2024 DANFLU-2 Homeswab PRO substudy by Filip Soeskov Davidovski, Kristoffer Grundtvig Skaarup, Niklas Dyrby Johansen, Daniel Modin, Nabila Shaikh, Jose Bartelt-Hofer, Matthew M. Loiacono, Rebecca C. Harris, Carsten Schade Larsen, Lykke Larsen, Lothar Wiese, Michael Dalager-Pedersen, Randi Jessen, Nina Steenhard, Brian L. Claggett, Scott D. Solomon, Lars Køber, Pradeesh Sivapalan, Jens Ulrik Staehr Jensen, Cyril Jean-Marie Martel, Tor Biering-Sørensen

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Evaluating Medical Students' Perspectives on the CBME Curriculum: A Qualitative Exploration of Curriculum Structure, Pedagogical Approaches, and Educational Integration by Amit Kumar Kamboj, Mudit Sharma, Rashmi Ramanathan, Vivin Vincent, Jeevithan Shanmugam

“…Introduction: The introduction of the Competency-Based Medical Education (CBME) curriculum by the National Medical Commission (NMC) in India in 2019 has reshaped medical education by integrating foundational courses, learning strategies, and assessment methods that emphasize competencies essential for modern healthcare. …”
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Visual Disturbances to Avatar Foot Position Increase Step-Width Variability in Immersive VR Treadmill Walking by Alex van den Berg, Katherine L. Poggensee, David Abbink, Laura Marchal-Crespo

“…Gait variability, the subtle fluctuations in walking patterns, is crucial for adaptation and motor learning. While existing methods to increase gait variability often rely on force-based perturbations, these can reduce motivation. …”
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3D Radio Map-Based GPS Spoofing Detection and Mitigation for Cellular-Connected UAVs by Yongchao Dang, Alp Karakoc, Saba Norshahida, Riku Jantti

“…Precisely, the edge UAV flight controller uses ray tracing tools deterministic channel models, and Kriging methods to construct a theoretical 3D radio map. Then the machine learning methods, such as text Multi-Layer Perceptrons (MLP), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN), are employed to detect GPS spoofing by analyzing the UAV/base station reported Received Signal Strength (RSS) values and the theoretical radio map RSS values. …”
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Enhancing Comprehensive Mastery of Qualitative Research Methodology for Students Through the Deconstruction of the Eid al-Fitr Greeting Model by Bagus Haryono, Sudarmo Sudarmo, Triyanto Triyanto, Brq Dagfa Inka Mahadika

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A superpixel based self-attention network for uterine fibroid segmentation in high intensity focused ultrasound guidance images by Shen Wen, Dong Zhang, Yuting Lei, Yan Yang

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Multi-cohort study in gastric cancer to develop CT-based radiomic models to predict pathological response to neoadjuvant immunotherapy by Ze-Ning Huang, Hao-Xiang Zhang, Yu-Qin Sun, Xing-Qi Zhang, Yi-Fen Lin, Cai-Ming Weng, Chao-Hui Zheng, Ping-Li, Jia-Bin Wang, Qi-Yue Chen, Long-Long Cao, Mi Lin, Ru-Hong Tu, Chang-Ming Huang, Jian-Xian Lin, Jian-Wei Xie

“…This study sought to develop and validate a radiomics-based machine learning (ML) model for patients with locally advanced gastric cancer (LAGC), specifically to predict whether patients will achieve a major pathological response (MPR) following neoadjuvant immunotherapy. …”
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Decoding Humor-Induced Amusement via Facial Expression Analysis: Toward Emotion-Aware Applications by Gabrielle Toupin, Arthur Dehgan, Marie Buffo, Clément Feyt, Golnoush Alamian, Karim Jerbi, Anne-Lise Saive

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Accurate irrigation decision-making of winter wheat at the filling stage based on UAV hyperspectral inversion of leaf water content by Xuguang Sun, Baoyuan Zhang, Menglei Dai, Cuijiao Jing, Kai Ma, Boyi Tang, Kejiang Li, Hongkai Dang, Limin Gu, Wenchao Zhen, Xiaohe Gu

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Intersection collision prediction and prevention based on vehicle-to-vehicle (V2V) and cloud computing communication by Min Zeng, Mohd Sani Mohamad Hashim, Mohd Nasir Ayob, Abdul Halim Ismail, Qiling Zang

“…Initially, the framework gathers vehicle trajectory, speed, acceleration, and relative position information via V2V communication technology to construct a graph representation of the traffic environment. …”
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AutoLDP: An accurate and efficient artificial intelligence-based tool for automatic labeling of digital pathology by Yingnan Zhao, Huifen Ye, Jing Yang, Su Yao, Maohua Lv, Zhihong Chen, Yunrui Ye, Qingru Hu, Cheng Lu, Zaiyi Liu, Ke Zhao, Zhihua Chen

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EDUCATIONAL COWORKING AS A NEW ORGANIZATION FORMAT OF EDUCATIONAL SPACE OF SUPPLEMENTARY VOCATIONAL EDUCATION by Galina A. Ignatyeva, Oksana V. Tulupova, Andrey S. Molkov

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Comparison of nanoimaging and nanoflow based detection of extracellular vesicles at a single particle resolution by Shihan Xu, Zhengrong Zhang, Bridgette C. Melvin, Nibedita Basu Ray, Seiko Ikezu, Tsuneya Ikezu

“…Additionally, we applied machine learning models to correct for false positive particles identified in imaging‐based results by fitting size distribution data.…”
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Small Scale Invade-Target Recognition and Location Based on Improved Faster RCNN by Jingyi MA, Haoyang CUI, Mingda ZHANG, Yihui SUN, Yongpeng XU

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Facial recognition optimization based on adversarial sample generation in the field of artificial intelligence by Jie Yang

“…Thus, the research on facial adversarial sample generation based on ensemble learning is carried out. Firstly, the traditional AdaBoost is improved using particle swarm optimization algorithm and dual threshold classification method. …”
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Optimization for threat classification of various data types-based on ML model and LLM by Chaerim Hong, Taeyeon Oh

“…The ML-based model XGBoost showed an accuracy of 0.9999 with the TF-IDF embedding method, SVM showed 0.9699 with the TF-IDF embedding method, and Random Forest showed 0.9493 with the TF-IDF method. …”
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Decoding Parkinson’s diagnosis: An OCT-based explainable AI with SHAP/LIME transparency from the Persian Cohort Study by Zohreh Ganji, Farzaneh Nikparast, Naser Shoeibi, Ali Shoeibi, Hoda Zare

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