Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study by Jingchao Lei, Jia Zhai, Yao Zhang, Jing Qi, Chuanzheng Sun

“…MethodsThis retrospective multicenter cohort study adhered to the TRIPOD+AI (Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis, Extended for Artificial Intelligence) guidelines. Data from 8834 patients with sepsis in the Medical Information Mart for Intensive Care IV (MIMIC-IV) database were used for training and internal validation, while data from 4236 patients in the eICU-Collaborative Research Database (eICU-CRD) database were used for external validation. …”
Get full text

A Hybrid Digital-4E Strategy for comorbid migraine and depression: a medical hypothesis on an AI-driven, neuroadaptive, and exposome-aware approach by Parisa Gazerani

“…ObjectiveThe co-occurrence of migraines and depression presents a critical clinical challenge, affecting up to 50% of individuals with either condition. …”
Get full text

Reinforcement Learning-Based Resource Allocation Scheme of NR-V2X Sidelink for Joint Communication and Sensing by Zihan Li, Ping Wang, Yamin Shen, Song Li

“…Utilizing echoes of the same signal can achieve the object location sensing function, in addition to the V2X communication function. …”
Get full text

Inspection of railway catenary systems using machine learning with domain knowledge integration by Kacper Marciniak, Paweł Majewski, Jacek Reiner

“…This paper presents innovative solutions leveraging domain knowledge to significantly improve the inference quality of machine learning models using existing training data. Key innovations include a two-stage approach and clustering of selected objects to extract regions of interest (ROI), dynamic confidence score weighting, and ROI masking, aimed at reducing false positives and enhancing precision. …”
Get full text

Detection of Wild Mushrooms Using Machine Learning and Computer Vision by Christos Chaschatzis, Chrysoula Karaiskou, Chryssanthi Iakovidou, Panagiotis Radoglou-Grammatikis, Stamatia Bibi, Sotirios K. Goudos, Panagiotis G. Sarigiannidis

“…The proposed approach utilises unmanned aerial vehicles (UAVs) equipped with multispectral imaging and the YOLOv5 object detection algorithm. A custom dataset, the wild mushroom detection dataset (WOES), comprising 907 annotated aerial and ground images, was developed to support model training and evaluation. …”
Get full text

Factors Influencing Relapse After Omalizumab in Chronic Urticaria. Does the Method of Discontinuation Influence Relapse? by Petek Üstün, Esra Adışen

Get full text

End-to-End Collaborative Optimization Method for Microgrid Power Prediction and Optimal Scheduling by ZHANG Li, WANG Bao, JIA Jianxiong, SONG Zhumeng, YE Yutong, YU Yue, LIN Jiaqing, XU Xiaoyuan

“…In microgrids with high renewable energy penetration, the objectives of renewable energy power forecasting and microgrid optimal scheduling may be misaligned. …”
Get full text

Performance of omnichannel warehouse of Muslim fashion company in Indonesia based on workforce, equipment, space, and information system aspects by Vita Sarasi, Iman Chaerudin, Fadila Nurfauzia

“…The objective of this study is to determine the overall effectiveness of omnichannel warehouses, with a focus on the fashion industry, which has demonstrated resilience during the pandemic by utilizing both offline and online sales techniques. …”
Get full text

Impact of Treatment Duration in First-Line Atezolizumab Plus Chemotherapy in Extensive-Stage Small-Cell Lung Cancer: A Multicenter Real-World Retrospective Study by Mehmet Nuri Baser, Bilgin Demir, Gamze Serin Ozel, Gamze Gokoz Dogu, Serdar Karakaya, Mucahit Ugar, Naziye Ak, Ahmet Ozveren, Ufuk Camanlı, Olcun Umit Unal, Merve Turan, Esin Oktay

Get full text

Effectiveness of a simulation-based point-of-care ultrasound course for prehospital providers - a single group quasi-experimental study by Ariana Weber, Asit Misra, Richard D. Rodriguez, Angel “Al” Brotons, Maria Antonietta Mosetti, Resa E. Lewiss, Eduard Tiozzo, Ivette Motola

“…Abstract Objective Emergency medical service (EMS) professionals are increasingly using point-of-care ultrasound (POCUS) into the prehospital management and triage of critically ill patients. …”
Get full text

Evaluation of Nurses' practices provided to the Patients who undergo Open Heart Surgery in Sulaimani center of Heart Diseases (S.C.H.D) by Samir Younis Lafi, SOZ Othman Aziz

“…To achieve the objectives of the study, a non-probability (purposive) sample of (32) nurses who are present all the nurses working in the center. …”
Get full text

Finding Pareto trade-offs in fair and accurate detection of toxic speech by Soumyajit Gupta, Venelin Kovatchev, Anubrata Das, Maria De-Arteaga, Matthew Lease

“…Our GAP loss for the task of TL detection demonstrates promising results - improved fairness and computational efficiency. Our work can be extended to other tasks, datasets, and neural models in any practical situation where ensuring equal accuracy across different demographic groups is a desired objective. …”
Get full text

Exploring the health complications of female genital mutilation through a systematic review and meta-analysis by Christina Pallitto, Fernando Ruiz-Vallejo, Vernon Mochache, Karin Stein, Joshua P. Vogel, Max Petzold

Get full text

Optimising AVATAR therapy for people who hear distressing voices: study protocol for the AVATAR2 multi-centre randomised controlled trial by Philippa Garety, Clementine J. Edwards, Thomas Ward, Richard Emsley, Mark Huckvale, Paul McCrone, Mar Rus-Calafell, Miriam Fornells-Ambrojo, Andrew Gumley, Gillian Haddock, Sandra Bucci, Hamish McLeod, Amy Hardy, Emmanuelle Peters, Inez Myin-Germeys, Thomas Craig

“…The first fully powered randomised trial found AVATAR therapy resulted in a rapid and substantial fall in voice frequency and associated distress that was superior to supportive counselling at 12 weeks. The main objective of this AVATAR2 trial is to test the efficacy of two forms of AVATAR therapy in reducing voice-related distress: AVATAR-brief (standardised focus on exposure, assertiveness and self-esteem) and AVATAR-extended (phase 1 mirroring AVATAR-brief augmented by a formulation-driven phase 2). …”
Get full text

A Quasi-Experimental Study on Effects of 3.2mm Supratemporal Clear Corneal Incision during Phacoemulsification on Preoperative Astigmatism: Bridging Theory and Surgical Practice by Junaid Sethi, Fawad Ahmad, Nuzhat Rahil

“… OBJECTIVES This study aimed to evaluate the effect of 3.2 clear corneal superotemporal incisions on postoperative astigmatism in patients surgically treated with phacoemulsification for cataract extraction, thereby bridging the gap between theory and surgical practice. …”
Get full text

Frost forecasting via weakly-supervised semantic segmentation of satellite imagery by Seokho Kang, Seon-Kyeong Seong, Eunha Sohn, Jiyoung Kim, Jaewoong Shim

“…Forecasting coverage can be extended by using meteorological satellite data as predictors, enabling frost forecasting over broader regions. …”
Get full text

Location, Location, Location: The Power of Neighborhoods for Apartment Price Predictions Based on Transaction Data by Christopher Kmen, Gerhard Navratil, Ioannis Giannopoulos

“…This study leverages a decade-long dataset of 83,527 apartment transactions in Vienna, Austria, to train machine learning models using XGBoost. Unlike most prior research, the extended time span of the dataset enables predictions for multiple future years, providing a more robust long-term prediction. …”
Get full text

Comparative Analysis of Personal Trainers’ Job Roles in Latecomer Growth Cities Using DACUM (Developing A Curriculum): A Comparative Study of Zhengzhou and Seoul by Junyang Yan, Jisang Yu, Kyongken Choi, Jinho Yoo

“…OBJECTIVES This study aimed to systematically analyze the job roles of personal trainers in Latecomer Growth Cities using the DACUM method, focusing on identifying core Duties and Tasks, and comparing CVR(Content Validity Ratio), convergence, and consensus between Zhengzhou and Seoul. …”
Get full text

Investigation of the Mozart sonata effect on contextual memory extinction by Rodolfo Souza de Faria, Amanda Di Gesu, Lelis do Vale Miranda, Luciano Magalhães Vitorino, Clarissa Maria Ferreira Trzesniak, Cesar Renato Sartori

“…ABSTRACT Objective This study aimed to analyze the influence of Mozart’s Sonata K.448 on contextual memory extinction in male mice. …”
Get full text

Adaptive Federated Learning With Reinforcement Learning-Based Client Selection for Heterogeneous Environments by Shamim Ahmed, M. Shamim Kaiser, Sudipto Chaki, A. B. M. Shawkat Ali

“…For local model training, Random Forest (RF) classifiers are employed to ensure robustness to noise, class imbalance, and limited computational resources, particularly in privacy-sensitive healthcare settings. …”
Get full text