Computational insights into magnetohydrodynamic flow of Cu–Al2O3/H2O hybrid nanofluid: Impact of heat generation, Newtonian heating and surface nonlinearity by Siva Nageswara Rao Thottempudi, Jithender Reddy Gurejala, Raja Shekar Pemmaraju, Manideep Pampera

“…People are interested in hybrid nanofluids because they have better thermal qualities that make them useful for analysis and prediction of heat transfer in the real-life applications. …”
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The predictive role of composite inflammatory ratio parameters in the conscious awareness recovery after severe acute ischemic stroke: a retrospective cohort study by Yiyuan Xu, Yanyan Liu

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Multimodal Fusion Framework for Urban functional zone change detection using Remote Sensing and Social Sensing Data by B. Fang, B. Fang, B. Fang, B. Fang, X. Chen, X. Chen, X. Chen, X. Chen, H. Chen, H. Chen, Z. Xiang, Z. Xiang, B. Hu, B. Hu, Z. Hu, Z. Hu, Z. Hu, Z. Hu, W. Tu, W. Tu, W. Tu, W. Tu

“…Change detection reveals the shifts in land-use distribution and composition over time, providing valuable insights for urban management and socioeconomic analysis. …”
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Sex- and age-specific body composition indices as predictors of new-onset type 2 diabetes mellitus in Koreans: a nationwide cohort study by Hye Jin Yoo, Sei Hyun Baik, Kyung Mook Choi, Min Jeong Park, Eyun Song, Ahreum Jang, Minwoong Kang, Soo Yeon Jang

“…We investigate sex- and age-specific body composition indices associated with NODM.Design and setting A retrospective, nationwide, population-based cohort study.Participants We analysed 4 058 891 adults who underwent a health examination in the year 2009 and 10-year follow-up data from the National Health Insurance Service.Outcome measure NODM risk stratified by sex and age groups in 20-year intervals according to quartiles or per 1 SD increase in body mass index (BMI), waist circumference (WC), waist-height ratio (WHtR), visceral adiposity index (VAI), a body shape index (ABSI) and weight-adjusted waist index (WWI).Results Among the total subjects, 625 715 individuals (15.4%) developed NODM during median 10-year follow-up. …”
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Global residual stress field inference method for die-forging structural parts based on fusion of monitoring data and distribution prior by Shuyuan Chen, Yingguang Li, Changqing Liu, Zhiwei Zhao, Zhibin Chen, Xiao Liu

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Real-Time Object Detection for Edge Computing-Based Agricultural Automation: A Case Study Comparing the YOLOX and YOLOv12 Architectures and Their Performance in Potato Harvesting S... by Joonam Kim, Giryeon Kim, Rena Yoshitoshi, Kenichi Tokuda

“…In this paper, we presents a case study involving the implementation experience and a methodological framework through a comprehensive comparative analysis of the YOLOX and YOLOv12 object detection models for agricultural automation systems deployed in the Jetson AGX Orin edge computing platform. …”
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A New Distributed Type-2 Fuzzy Logic Method for Efficient Data Science Models of Medical Informatics by Fatéma Zahra Benchara, Mohamed Youssfi

“…The paper aims to propose a distributed method for machine learning models and its application for medical data analysis. The great challenge in the medicine field is to provide a scalable image processing model, which integrates the computing processing requirements and computing-aided medical decision making. …”
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An artificial intelligence-based approach to identify volume status in patients with severe dengue using wearable PPG data. by Ngan Nguyen Lyle, Ho Quang Chanh, Hao Nguyen Van, James Anibal, Stefan Karolcik, Damien Ming, Giang Nguyen Thi, Huyen Vu Ngo Thanh, Huy Nguyen Quang, Hai Ho Bich, Khoa Le Dinh Van, Van Hoang Minh Tu, Khanh Phan Nguyen Quoc, Huynh Trung Trieu, Qui Tu Phan, Tho Phan Vinh, Tai Luong Thi Hue, Pantelis Georgiou, Louise Thwaites, Sophie Yacoub, Vietnam ICU Translational Applications Laboratory (VITAL) investigators

“…PPG data were sampled from these states for analysis. …”
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Investigation of cell development and tissue structure network based on natural Language processing of scRNA-seq data by Suwen Wei, Yuer Lu, Peng Wang, Qichao Li, Jianwei Shuai, Qi Zhao, Hai Lin, Yuming Peng

“…Conclusions This method offers a computationally efficient approach for analyzing scRNA-seq data by constructing embedding representations similar to those used in large language model pre-training, but without requiring high-performance computing clusters. …”
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Mapping winter rapeseed in South China using Sentinel-2 data based on a novel separability index by Jian-bin TAO, Xin-yue ZHANG, Qi-fan WU, Yun WANG

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Efficient Fault Diagnosis of Elevator Cabin Door Drives Using Machine Learning with Data Reduction for Reliable Transmission by Jakub Gęca, Dariusz Czerwiński, Bartosz Drzymała, Krzysztof Kolano

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Correlation Between Depression-Associated Genes and Cancer Types: Predicting Cancer Based on Mutation Frequencies by Fernando Patricio Carranco-Avila, Clayanela Zambrano-Caicedo, Jonathan Javier Loor-Duque, Ariana Deyaneira Jimenez-Narvaez, Ivan Galo Reyes-Chacon, Paulina Vizcaino, Isidro Rafael Amaro Martin, Manuel Eugenio Morocho-Cayamcela

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Reflectance spectrometry and multispectral data for mapping fractures and hydrothermal alterations in the northern edge of the eastern High Atlas, Morocco by Asma Zouggarh, Mourad Essalhi, Adnane Tobi, Omar Saidi, Daoud El Azmi, Mohammed Boumehdi, Saloua Mnissar Himyari

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Predicting and Preventing Crime: A Crime Prediction Model Using San Francisco Crime Data by Classification Techniques by Muzammil Khan, Azmat Ali, Yasser Alharbi

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Decoding Mental States in Social Cognition: Insights from Explainable Artificial Intelligence on HCP fMRI Data by José Diogo Marques dos Santos, Luís Paulo Reis, José Paulo Marques dos Santos

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MPDP -medoids: Multiple partition differential privacy preserving -medoids clustering for data publishing in the Internet of Medical Things by Zekun Zhang, Tongtong Wu, Xiaoting Sun, Jiguo Yu

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Exploring the use of new data assimilation technologies to map groundwater quality vulnerability in a large alluvial aquifer by Wes Kitlasten, Catherine Moore, John Doherty

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Impact of hypertension on coronary artery plaques and FFR-CT in type 2 diabetes mellitus patients: evaluation utilizing artificial intelligence processed coronary computed tomograp... by Yan Xi, Yi Xu, Zheng Shu

“…ObjectiveThis study utilized artificial intelligence (AI) to quantify coronary computed tomography angiography (CCTA) images, aiming to compare plaque characteristics and CT-derived fractional flow reserve (FFR-CT) in type 2 diabetes mellitus (T2DM) patients with or without hypertension (HTN).MethodsA retrospective analysis was conducted on 1,151 patients with suspected coronary artery disease who underwent CCTA at a single center. …”
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Analysing learning behaviour: A data-driven approach to improve time management and active listening skills in students by Vinayak Hegde, Vishrutha M, Pallavi M. Shanthappa, Rekha Bhat, Nisha Raveendran, Roshin C

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Mining online hotel reviews using big data and machine learning: An empirical study from an emerging country by Hanh Thi My Le, Thuy-An Phan-Thi, Binh T. Nguyen, Thang Quyet Nguyen

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