Association between air pollution and type II diabetes in Italy from clinical data and population-weighted exposure at the municipality level by Cristiana Abbafati, Luciano Nieddu, Giorgio Cattani, Maria Antonietta Reatini, Paola Ponzani

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SMS3D: 3D Synthetic Mushroom Scenes Dataset for 3D Object Detection and Pose Estimation by Abdollah Zakeri, Bikram Koirala, Jiming Kang, Venkatesh Balan, Weihang Zhu, Driss Benhaddou, Fatima A. Merchant

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Emerging practice in mental health patient and public involvement research advisory groups: a narrative review by Vanessa Pinfold, Abigail Burgess, Lisa Couperthwaite, Emma Garavini, John Gibson, Roya Kamvar, Alexandra Kenny, Tanya MacKay, Georgia Naughton, Rachel Temple

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CLS-3D: Content-Wise LiDAR-Camera Fusion and Slot Reweighting Transformer for 3D Object Detection in Autonomous Vehicles by Husnain Mushtaq, Sohaib Latif, Muhammad Saad Bin Ilyas, Syed Muhammad Mohsin, Mohammed Ali

“…The semantically augmented features, via a single multi-modal backbone, are embedded using a content-based transformer and processed through a slot-wise auto-encoder structure with channel-wise positional embeddings and a feed-forward MLP network. …”
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Multicenter validation of an RNA-based assay to predict anti-PD-1 disease control in patients with recurrent or metastatic head and neck squamous cell carcinoma: the PREDAPT study by Howard L McLeod, A Dimitrios Colevas, Georges Azzi, Kevin C Flanagan, Douglas Adkins, Jessica Ley, Ezra E W Cohen, James Wade, Jon Earls, Jeffrey Hiken, Rachel L Wellinghoff, Michelle M Ponder, William H Westra, Vera Vavinskaya, Leisa Sutton, Ida Deichaite, Orlan K Macdonald, Karim Welaya, Andrew W Pippas, Jennifer Slim, Bruce Bank, Xingwei Sui, Steven E Kossman, Todd D Shenkenberg, Warren L Alexander, Katharine A Price, David N Messina, Jarret I Glasscock, Eric J Duncavage

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Synthetic Micrographs of Bacteria (SyMBac) allows accurate segmentation of bacterial cells using deep neural networks by Georgeos Hardo, Maximilian Noka, Somenath Bakshi

“…Abstract Background Deep-learning–based image segmentation models are required for accurate processing of high-throughput timelapse imaging data of bacterial cells. …”
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University teachers' perceptions of EFL students' engagement in Google Classroom by Mohamed Amin Mekheimer, Eman Mahdy

“…The principal practical contribution of this research lies in its provision of evidence-based recommendations, contextualized for the Middle East and applicable globally, for optimizing online EFL learning by leveraging instructors' positive viewpoints while mitigating identified barriers, thereby fostering inclusive digital classrooms and improving student success.…”
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Critical Component Overheating Monitoring Algorithm Integrating Temperature-sensing Patches and Computer Vision Trains by SHU Dong, ZHANG Beijia, YANG Hongtai

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Detecting stress parameters in dromedary camels using computer vision by Hiba Moideen, Manar Abu Talib, Nabil Mansour, Shaher Bano Mirza, Ali Bou Nassif, Simon Zerisenay Ghebremeskel, Fouad Lamghari, Yaman Afadar, Takua Mokhamed

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Detection and Geolocation of Peat Fires Using Thermal Infrared Cameras on Drones by Temitope Sam-Odusina, Petrisly Perkasa, Carl Chalmers, Paul Fergus, Steven N. Longmore, Serge A. Wich

“…This paper describes a deep learning pipeline that detects and segments peat fires in thermal images. …”
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National-scale mapping topsoil organic carbon of cropland in China using multitemporal Sentinel-2 images by Jie Xue, Xianglin Zhang, Songchao Chen, Zhongxing Chen, Rui Lu, Feng Liu, Bas van Wesemael, Zhou Shi

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Deeply supervised two stage generative adversarial network for stain normalization by Zhe Du, Pujing Zhang, Xiaodong Huang, Zhigang Hu, Gege Yang, Mengyang Xi, Dechun Liu

“…Abstract The color variations present in histopathological images pose a significant challenge to computational pathology and, consequently, negatively affect the performance of certain pathological image analysis methods, especially those based on deep learning techniques. …”
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The effectiveness of non-attendance triage training based on the ESI-IV system on the knowledge and ability of pre-hospital emergency staff in the academic hospitals of Ahvaz Jundi... by Ali Vefagh Nematollahi, Mofid Hosseinzadeh, Alireza Rafati Navaei, Payam Amini, Maryam Asiaban

“…The results indicate that non-attendance triage training based on the ESI-IV system was effective in the knowledge and ability of the pre-hospital emergency personnel had a positive and significant impact, and remains at a good level. …”
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Analysing the Influence of Augmented Reality on Organization Performance via Supply and Logistics Value Chain Functions: A Hybrid ANN-PLS Model Assessment in the Gulf Cooperation C... by Ahmad Aburayya

“…This essay looks at how the AR and resource-based supply value chain view may affect company performance across countries, firm sizes, and ages.…”
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Application of predictive models in boosting power of Alzheimer's disease clinical trials: A post hoc analysis of phase 3 solanezumab trials by Ali Ezzati, Christos Davatzikos, David A. Wolk, Charles B. Hall, Christian Habeck, Richard B. Lipton

“…We used baseline data for EXPEDITION to train regression‐based classifiers and machine learning classifiers to estimate probability of cognitive decline. …”
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Employing large language models for emotion detection in psychotherapy transcripts by Christopher Lalk, Kim Targan, Tobias Steinbrenner, Jana Schaffrath, Steffen Eberhardt, Brian Schwartz, Antonia Vehlen, Wolfgang Lutz, Julian Rubel

“…Additionally, other modalities and Natural Language Processsing (NLP)-based alliance assessment could be integrated.…”
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Dual-GRU Perception Accumulation Model for Linear Beam Smoke Detector by Zhuofu Wang, Boning Li, Li Wang, Zhen Cao, Xi Zhang

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Hierarchical Sampling Representation Detector for Ship Detection in SAR Images by Ming Tong, Shenghua Fan, Jiu Jiang, Chu He

“…A detection framework based on hierarchical sampling representation is introduced to alleviate the phenomenon in this article. …”
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Methodology for Studying Neural Network Descriptors in Solving the Problem of Finding Anatomical Layers in Computed Tomography Images of the Lungs by A. A. Kosareva

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Classifying schizophrenia using functional MRI and investigating underlying functional phenomena by Yangyang Liu, Bi Wan, Zixuan Liu, Shuaiqi Zhang, Pei Liu, Ningning Ding, Yuxin Wang, Jun Dong, Moiz Kabeer Ahmad, Haisan Zhang

“…Statistically significant metrics were selected as features, and machine learning models were used to distinguish between patients and controls. …”
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