Clinical Profile and Barriers to Treatment in Patients with Substance Use Disorder in Western Rajasthan by Nathmal Panwar, Indraja Sharma, Ashok Seervi, Sanjay Gehlot

“…Background: Substance use disorders (SUDs) are a significant public health challenge in India, with regional variations in prevalence and treatment barriers. Western Rajasthan’s cultural and geographic proximity to opium-producing regions necessitates a focused understanding of SUD patterns. …”
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Genetic diversity and phylogenetic relationships of Calotes and Uromastyx in the Cholistan Desert, Pakistan, based on COI gene analysis. by Javed Hussain, Gulnaz Afzal, Muhammad Zeshan Haider, Iram Qadeer, Shazia Perveen, Hafiz Ishfaq Ahmad, Ahmed A El-Mansi, Abdelalim A Gadallah, Kasim Sakran Abass

“…We employed a combination of distance-based (p-distance, K2P) and phylogenetic methods (Maximum Likelihood, Bayesian Inference) to evaluate genetic diversity and evolutionary relationships. …”
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The role of force and torque in friction stir welding: A detailed review by Mostafa Akbari, Milad Esfandiar, Amin Abdollahzadeh

“…This review explores methodologies for estimating these parameters—analytical, numerical, and experimental—and discusses measurement techniques, including direct and indirect methods. It also examines variations in forces across different FSW types, such as Conventional FSW, Bobbin Tool FSW, and Stationary Shoulder FSW, emphasizing the differences in their operational mechanics. …”
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A Few-Shot Learning-Based Point Cloud Semantic Segmentation Network for Tunnel Lining Inspection by Ziyi Li, Nan Jiang, Lihong Tong

“…Next-generation 6G networks will significantly advance the development of integrated sensing, communication, and computing (ISSC) systems, particularly in collection and processing of point cloud data. …”
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Faculty perspectives on generative artificial intelligence: insights into awareness, benefits, concerns, and uses by Budour Almisad, Ayda Aleidan

“…BackgroundThe study examined university faculty members’ perspectives on Generative Artificial Intelligence (GenAI) tools, focusing on their awareness, perceived benefits, concerns, and uses and applications in education.MethodsThe study employed a cross-sectional descriptive research design in which data were collected using a questionnaire instrument in the summer semester of the 2023/2024 academic year. …”
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Knowledge based convolutional transformer for joint estimation of PM2.5 and O3 concentrations by Ying Ren, Siyuan Wang, Bisheng Xia, Biesheng Xia

“…Finally, a map of pollutant concentrations was drawn according to the pollutant concentration values predicted by the model, showing the spatial variations of pollutant. This study indicates that it is feasible to integrate knowledge into a data-driven model for a joint estimation of atmospheric pollutant concentrations. …”
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Robust Image Population Based Stain Color Normalization: How Many Reference Slides Are Enough? by Jose L. Agraz, Caleb M. Grenko, Andrew A. Chen, Angela N. Viaene, MacLean D. Nasrallah, Sarthak Pati, Tahsin Kurc, Joel Saltz, Michael D. Feldman, Hamed Akbari, Parth Sharma, Russell T. Shinohara, Spyridon Bakas

“…Current state-of-the-art normalization methods employ a single WSI as reference, but selecting a single WSI representative of a complete WSI-cohort is infeasible, inadvertently introducing normalization bias. …”
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LAF: Enhancing person re-identification via Latent-Assisted Feature Fusion by Minglang Li, Zhiyong Tao, Sen Lin, Kaihao Feng

“…Person re-identification (Re-ID) in real-world scenarios is challenged by occlusions, viewpoint variations, and individuals with similar attributes. …”
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Enhancing Real-Time Aerial Image Object Detection with High-Frequency Feature Learning and Context-Aware Fusion by Xin Ge, Liping Qi, Qingsen Yan, Jinqiu Sun, Yu Zhu, Yanning Zhang

“…Aerial image object detection faces significant challenges due to notable scale variations, numerous small objects, complex backgrounds, illumination variability, motion blur, and densely overlapping objects, placing stringent demands on both accuracy and real-time performance. …”
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Artifact estimation network for MR images: effectiveness of batch normalization and dropout layers by Tomoko Maruyama, Norio Hayashi, Yusuke Sato, Toshihiro Ogura, Masumi Uehara, Haruyuki Watanabe, Yoshihiro Kitoh

“…However, artifacts may degrade images obtained through MRI, especially owing to patient movement. Existing methods that mitigate the artifact problem are subject to limitations including extended scan times. …”
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MSegNet: A Multi-View Coupled Cross-Modal Attention Model for Enhanced MRI Brain Tumor Segmentation by Yu Wang, Juan Xu, Yucheng Guan, Faizan Ahmad, Tariq Mahmood, Amjad Rehman

“…However, traditional neural network-based diagnostic methods often overlook issues such as variation in multimodality information, loss of spatial information, and under-utilization of boundary information. …”
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Identification of metabolism related biomarkers in obesity based on adipose bioinformatics and machine learning by Yanping Wang, Honglin Wang, Xingrui Yu, Qinan Wu, Xinlu Lv, Xuelian Zhou, Yong Chen, Shan Geng

“…The orangered4 module, which exhibited the highest correlation with propanoate metabolism, was identified using Weighted Correlation Network Analysis (WGCNA). By integrating the DEGs, WGCNA results, and machine learning methods, the identification of two metabolism-related genes, Storkhead Box 1 (STOX1), NACHT and WD repeat domain-containing protein 2(NWD2) was achieved. …”
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Maritime man-overboard search based on MOB-Detector with modulated deformable convolution and bi-directional feature fusion network by Guokang Xu, Jianchuan Yin, Jianchuan Yin, Jinfeng Zhang, Nini Wang

“…MOB-Detector utilizes the bi-directional feature fusion network to integrate location and semantic features effectively. …”
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A study of the response dynamics of a Helmholtz resonator and its application in acoustic energy harvesting by K.A. Omoteso, R. Marjani, O. Ozioko, O. Bagdasar, T.O. Roy-Layinde, U.H. Diala

“…The variation of the resonant frequency of the HR device, with its geometry, was studied, which facilitated the investigation of the response dynamics of the system, using numerical, analytical, and experimental methods. …”
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Experimental Validation of a Novel CO₂ Refrigeration System for Cold Storage: Achieving Energy Efficiency and Carbon Emission Reductions by Yi-Zhou Wang, Yu-Wei Fan, Xiao-Long Li, Jian-Guo Yang, Xin-Rong Zhang

“…To address the high energy consumption and carbon emissions associated with cold storage operations, a novel refrigeration system is proposed, which utilizes the natural refrigerant CO₂ and integrates an innovative control strategy. Experimental validations were conducted in Changsha (a subtropical monsoon climate) and Changchun (a continental monsoon climate), which are two regions representing typical climatic zones in China, to assess the system’s energy-saving potential, temperature stability, and environmental impacts with the total equivalent warming impact and life cycle carbon performance methods. …”
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Predicting Heat Treatment Duration for Pest Control Using Machine Learning on a Large-Scale Dataset by Stavros Rossos, Paraskevi Agrafioti, Vasilis Sotiroudas, Christos G. Athanassiou, Efstathios Kaloudis

“…Pest control in industrial buildings, such as silos and storage facilities, is critical for maintaining food safety and economic stability. Traditional methods like fumigation face challenges, including insect resistance and environmental concerns, prompting the need for alternative approaches. …”
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Automated speech therapy through personalized pronunciation correction using reinforcement learning and large language models by Ritika Lakshminarayanan, Ayesha Shaik, Ananthakrishnan Balasundaram

“…Further validation utilized datasets such as TIMIT, LibriTTS, SpeechOcean762, and the Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS), enabling direct comparisons with contemporary methods. Results demonstrate the system's robustness in handling diverse phonetic variations. …”
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Research on static seating comfort of the Chinese population under different seat angle design parameters by Lingbo Yan, Lingchun Yu, Na Li, Luozhe Shangguan, Muni Luo

“…IntroductionThis study aimed to deepen the understanding of seating comfort for the Chinese population by developing a human finite element (FE) model.MethodsThis model was integrated with a specific vehicle seat FE model to construct a comprehensive human-seat FE model, and the mechanical responses of the human body were analyzed under varying seat angles. …”
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Optimizing Techno-Economic Framework of REGs in Capacitive Supported Optimal Distribution Network by G. Srinivasan, Kumar Reddy Cheepati, B. Srikanth Goud, Mohammed Alqarni, Basem Alamri, Ch. Rami Reddy

“…Besides, the Levy Flight Mechanism (LFM) integrated Seagull Optimization Algorithm (SOA) has been applied to solve the Economic Based Objective Function. …”
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Multidimensional health status and its impact on health care consumption behavior among elderly people with chronic diseases: evidence from CHARLS in China by Qi Wang, Yuanyuan Zhang, Xin Miao, Xin Miao, Jinao Chen, Linlin Zhang

“…PurposeThis study aims to provide a comprehensive understanding of the multidimensional health status of elderly individuals with chronic diseases in China and examine its impact on their healthcare consumption behavior.MethodsA chi-square test was conducted to assess the variations in healthcare consumption behavior across different multidimensional health categories. …”
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