Identification of retinol dehydrogenase 10 as a shared biomarker for metabolic dysfunction-associated steatotic liver disease and type 2 diabetes mellitus by Fangyu Li, Rui Li, Hongjun Deng

“…Similarly, serum levels of RDH10 were significantly lower in MASLD and T2DM model mice and humans than in controls.ConclusionOur study suggests that RDH10 is a common diagnostic marker for MASLD and T2DM and provides new research directions for the prevention and treatment of MASLD and T2DM.…”
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A study on the correlation between MBTI dimensions and driving behavior characteristics by Liwei Bai, Tao Wang, Jianyao Tu, Bozhezi Peng, Zhuoyu Wang

“…Using the K-modes clustering algorithm, this study identified significant imbalances in the distribution of MBTI personality dimensions across eight clusters, particularly in the Thinking-Feeling (T-F) dimension. …”
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Advanced Optimization of Flowshop Scheduling with Maintenance, Learning and Deteriorating Effects Leveraging Surrogate Modeling Approaches by Nesrine Touafek, Fatima Benbouzid-Si Tayeb, Asma Ladj, Riyadh Baghdadi

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FDN: A Real-Time Ensemble Fire Detection Network by Dong Hwan Shin, Jang Mook Kang, Taesu Cheong

“…Computer vision-based deep learning models have recently been employed in fire detection research. The primary objective of this study is to develop a multiclass fire detection model using images and videos. …”
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Joint Configuration and Optimization of Multi-microgrid Shared Energy Storage Based on Coalition Game by Congwei JIANG, Qinghe OU, Zhongchao WU, Jian ZHANG, Shu YANG, Jianan ZHU, Qian AI

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Multi-Objective Optimization of Urban Residential Envelope Structures in Cold Regions of China Based on Performance and Economic Efficiency by Kezheng Deng, Yanqiu Cui, Qingtan Deng, Ruixia Liu, Zhengshu Chen, Siyu Wang

“…Building performance and economic benefits across these periods are modeled using Rhino 7.3 and Grasshopper. The NSGA-II algorithm, as the core of Wallacei2.7, is employed for multi-objective optimization. …”
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Correlation Coefficient and Entropy Measures Based on Complex Dual Type-2 Hesitant Fuzzy Sets and Their Applications by Tahir Mahmood, Zeeshan Ali, Harish Garg, Lemnaouar Zedam, Ronnason Chinram

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A deep learning model with machine vision system for recognizing type of the food during the food consumption by Pouya Bohlol, Soleiman Hosseinpour, Mahmoud Soltani Firouz

“…Abstract The food industry prioritizes quality control and product knowledge, emphasizing factors like quantity, freshness, and color. This research addresses Sustainable Development Goals (SDGs) focused on controlling food consumption, promoting health, reducing energy usage, and minimizing environmental impact. …”
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CONTRAST-ENHANCED COMPUTED TOMOGRAPHIC CHOLANGIOGRAPHY IN DIFFERENTIAL DIAGNOSIS OF THE MALIGNANT AND BENIGN CAUSES OF BILIARY OBSTRUCTION by V. V. Zarubin, A. P. Kurazhov, V. D. Zavadovskaja, O. V. Rodionova, O. S. Tonkikh, I. Yu. Klinovitskiy, M. A. Zorkaltsev, V. I. Haritonkin

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Efficient Hardware Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA by Ali Mehrabi, Yeshwanth Bethi, Andre van Schaik, Andrew Wabnitz, Saeed Afshar

“…The hardware-optimised implementation is shown to preserve the performance of the original algorithm across multiple spatial-temporal classification problems with significantly reduced hardware requirements.…”
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Matching and Control Optimisation of Variable-Geometry Turbochargers for Hydrogen Fuel Cell Systems by Matt L. Smith, Alexander Fritot, Davide Di Blasio, Richard Burke, Tom Fletcher

“…The turbocharging of hydrogen fuel cell systems (FCSs) has recently become a prominent research area, aiming to improve FCS efficiency to help decarbonise the energy and transport sectors. …”
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StrokeNeXt: an automated stroke classification model using computed tomography and magnetic resonance images by Evren Ekingen, Ferhat Yildirim, Ozgur Bayar, Erhan Akbal, Ilknur Sercek, Abdul Hafeez-Baig, Sengul Dogan, Turker Tuncer

“…Its high accuracy and fewer learnable parameters make it lightweight and it is suitable for integration into clinical workflows. This research lays a foundation for real‑time decision support in emergency and radiology settings.…”
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Tactical and Criminalistic Features of Conducting a Physical Examination during the Verification of Crime Reports by A. T. Anesheva, S. E. Timoshenko, L. S. Shekhovtsova

“…The research, along with the proposed evidence-based recommendations on tactics, expands the understanding of this procedural tool and encourages its wider application in law enforcement practice.…”
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Differentiation characteristics and evolutionary mechanisms of agricultural regional functions in Loess Hilly and Gully Region by LONG Pei, WANG Yongsheng, LU Xue

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Exploiting Artificial Neural Networks for the State of Charge Estimation in EV/HV Battery Systems: A Review by Pierpaolo Dini, Davide Paolini

“…By structuring insights from the extensive literature, this paper aims to establish ANNs as a foundational tool in next-generation battery management systems, ultimately supporting safer and more efficient EVs through real-time fault detection, accurate SOC estimation, and robust safety protocols. Future research directions include refining dataset quality, optimizing algorithm selection, and enhancing diagnostic precision, thereby broadening ANNs’ role in ensuring reliable battery management in electric vehicles.…”
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An enhanced integrated fuzzy logic-based deep learning techniques (EIFL-DL) for the recommendation system on industrial applications by Yasir Rafique, Jue Wu, Abdul Wahab Muzaffar, Bilal Rafique

“…It is quickly becoming an integral part of operations, as it yields successful and convenient results. This research provides an enhanced integrated fuzzy logic-based deep learning technique (EIFL-DL) for recent industrial challenges. …”
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Artificial Intelligence in Orthopedic Surgery: Current Applications, Challenges, and Future Directions by Fei Han, Xiao Huang, Xin Wang, Yong‐feng Chen, Chuang Lu, Shasha Li, Lu Lu, Da‐Wei Zhang

“…Additionally, it evaluates the combined efficacy of diverse algorithms and devices through practical cases and details of future research frontiers, aiming to inform researchers of current landscapes and guide subsequent investigations.…”
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Exploration of the Prognostic Markers of Multiple Myeloma Based on Cuproptosis‐Related Genes by Xiao‐Han Gao, Jun Yuan, Xiao‐Xia Zhang, Rui‐Cang Wang, Jie Yang, Yan Li, Jie Li

“…ABSTRACT Background The investigation of cuproptosis in relation to tumor development has been limited, particularly in multiple myeloma (MM), indicating the need for further research. Our study aimed to examine the impact of cuproptosis‐related genes (CRGs) on the prognosis of MM. …”
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Modeling 5G-NR User Blocking Probability in Conditional Handover-Enabled Heterogeneous Networks by Amiraslan Haghrah, Javad Musevi Niya, Jafar Pourrostam

“…While BS reservation effectively reduces RLF rates, it concurrently occupies valuable radio resources, potentially leading to user blockages in congested scenarios. In this research, we develop a mathematical model to quantify user blocking probability by employing Markov models and connecting this probability to handover management parameters using stochastic geometry to characterize user mobility and BS coverage. …”
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Toward Understanding Federated Learning over Unreliable Networks by Chenyuan Feng, Ahmed Arafa, Zihan Chen, Mingxiong Zhao, Tony Q. S. Quek, Howard H. Yang

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