Optimizing spatial accessibility and equity of hierarchical older adult care facilities using a multi-modal two-step floating catchment area method: a case study of Lin'an District... by Mengxia Gu, Shangbo Li, Guoquan Zheng

“…The global aging trend is becoming increasingly pronounced, and the accessibility and equity of older adult care facilities directly influence the health and quality of life of the older adult population, thus representing a critical issue in public health research and policy-making. …”
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Evaluation and treatment of compulsive sexual behavior: current limitations and potential strategies by Lu Zhu, Lu Zhu, Wenwen Ma, Wenwen Ma, Rongqiu Zhang, Chao Wang, Bing Song, Bing Song, Yunxia Cao, Yunxia Cao, Guanjian Li, Guanjian Li

“…AimDespite having been introduced into ICD-11, the appropriate classification and symptomatology of compulsive sexual behavior disorder (CSBD) remain controversial.MethodsIn this review, we examined the historical background, epidemiological status quo, comorbidities, neuroscience theories, current diagnoses, and treatment recommendations for CSBD. …”
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Social determinants of health extraction from clinical notes across institutions using large language models by Vipina K. Keloth, Salih Selek, Qingyu Chen, Christopher Gilman, Sunyang Fu, Yifang Dang, Xinghan Chen, Xinyue Hu, Yujia Zhou, Huan He, Jungwei W. Fan, Karen Wang, Cynthia Brandt, Cui Tao, Hongfang Liu, Hua Xu

“…We aim to address these issues by creating cross-institutional corpora and developing and evaluating the generalizability of classification models, including large language models (LLMs), for detecting SDoH factors using data from four institutions. …”
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AI-Driven Background Segmentation for High-Throughput 3D Plant Scans by Serkan Kartal, Jan Masner, Jana Kholova, Alexander Galba, Tharanya Murugesan, Rekha Baddam, Vojtech Mikes, Eva Kanska

“…This paper addresses these issues by introducing an AI-driven approach using a Multi-Layer Perceptron (MLP) model, leveraging RGB, spatial (XYZ), and near-infrared (NIR) data to enhance precision. …”
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Natural bio-based products for wood coating and protection against degradation: A Review by Carmen-Alice Teacă, Dan Roşu, Fănică Mustaţă, Teodora Rusu, Liliana Roşu, Irina Roşca, Cristian-Dragoş Varganici

“…The present paper focuses on the most recent literature data with significant assessment of specific topics related to these issues.…”
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Artificial intelligence for microgrids design, control, and maintenance: A comprehensive review and prospects by Mojtaba Hadi, Elhoussin Elbouchikhi, Zhibin Zhou, Abdelhakim Saim, Miadreza Shafie-khah, Pierluigi Siano, Hesam Rahbarimagham, Pau Marti Colom

“…In this context, focusing on power quality (PQ) issues underscores the role of AI in fault detection and classification as an integral part of the diagnostic process. …”
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Digital transformation of modern corporation management tools: the current state and development paths by V. A. Laptev, S. Yu. Chucha, D. R. Feyzrakhmanova

“…Digital transformation of the economy has redefined the approaches to the issues of legal capacity, corporate governance and management of business processes. …”
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Research on the pollution characteristics of typical hazardous wastes in the non-ferrous smelting industry by WANG Fei, LI Xuebing, HUANG Qifei*, YANG Yufei

“…The findings from this study support the revision of hazardous waste classification in the smelting processes of copper, lead, zinc, and aluminum, as outlined in the National Catalogue of Hazardous Waste. …”
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VRU Safety at Road Intersections: An Ontology-Driven Digital Twin by Victor M. G. Martinez, Salim S. Mussi, Moises R. N. Ribeiro, Divanilson R. Campelo, Tereza C. Carvalho

“…It specifies the information classification, content to be modeled, and modeling methodology. …”
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Integration of Spatiotemporal Dynamics and Structural Connectivity for Automated Epileptogenic Zone Localization in Temporal Lobe Epilepsy by Linxia Xiao, Qingqing Zheng, Sixian Li, Yanjie Wei, Weixin Si, Yi Pan

“…Anatomical EZ boundaries were delineated by fusing the electrode position and classification information on brain atlas. The proposed method was evaluated based on the identification and localization performance of three epilepsy-related zones. …”
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Revolutionizing diagnosis of pulmonary Mycobacterium tuberculosis based on CT: a systematic review of imaging analysis through deep learning by Fei Zhang, Hui Han, Minglin Li, Tian Tian, Guilei Zhang, Zhenrong Yang, Feng Guo, Maomao Li, Yuting Wang, Jiahe Wang, Ying Liu

“…The traditional methods for diagnosing and differentiating tuberculosis (TB) remain thorny issues, particularly in areas with a high TB epidemic and inadequate resources. …”
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Identification of Factors Causing Land Cover Change in the Cikapundung Watershed by A. B. Harto, A. B. Harto, R. Virtriana, R. Virtriana, R. J. Kusuma, I. K. C. Reynaldi, A. Q. Karima, A. A. Kuntoro

“…Land cover change (LCC) is one of the most important global environmental issues in this modern era. Land cover change that occurs at local scales can impact global ecosystems due to cascading effects. …”
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Land Use and Land Cover Products for Agricultural Mapping Applications in Brazil: Challenges and Limitations by Priscilla Azevedo dos Santos, Marcos Adami, Michelle Cristina Araujo Picoli, Victor Hugo Rohden Prudente, Júlio César Dalla Mora Esquerdo, Gilberto Ribeiro de Queiroz, Cleverton Tiago Carneiro de Santana, Michel Eustáquio Dantas Chaves

“…These challenges include incompatibility, a lack of updates, non-systematic classification ontologies, and insufficient data to monitor Brazilian LULC information. …”
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Feature engineering through two-level genetic algorithm by Aditi Gulati, Armin Felahatpisheh, Camilo E. Valderrama

“…To address these issues, this study proposed a hierarchical two-level feature engineering approach. …”
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Near-real-time wildfire detection approach with Himawari-8/9 geostationary satellite data integrating multi-scale spatial–temporal feature by Lizhi Zhang, Qiang Zhang, Qianqian Yang, Linwei Yue, Jiang He, Xianyu Jin, Qiangqiang Yuan

“…However, existing wildfire detection methods neglect the full integration of spatial–temporal relationships across different scales, and thus suffer from issues of low robustness and accuracy in varying wildfire scenes. …”
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Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms by Marwan Dhuheir, Aiman Erbad, Bechir Hamdaoui, Samir Brahim Belhaouari, Mohsen Guizani, Thang X. Vu

“…A key requirement in these applications is minimizing the latency of data processing, particularly for time-sensitive tasks like image classification of IIoT device data. Due to resource limitations, UAVs often rely on online task offloading to remote machines, but this can be inefficient due to unstable connections, constrained resources, and high latency. …”
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Time-Series Large Language Models: A Systematic Review of State-of-the-Art by Shamsu Abdullahi, Kamaluddeen Usman Danyaro, Abubakar Zakari, Izzatdin Abdul Aziz, Noor Amila Wan Abdullah Zawawi, Shamsuddeen Adamu

“…Forecasting dominates the identified tasks with 79.66% of the selected studies, while classification and anomaly detection remain underexplored. …”
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Gray Brick Wall Surface Damage Detection of Traditional Chinese Buildings in Macau: Damage Quantification and Thermodynamic Analysis Method via YOLOv8 Technology by Liang Zheng, Jianyi Zheng, Yile Chen, Yuchan Zheng, Wei Lao, Shuaipeng Chen

“…The historical Lingnan gray brick buildings in Macau, a World Heritage Site, are facing severe deterioration due to prolonged disrepair, manifesting as cracks, breakages, moss adhesion, and other types of surface damage. These issues threaten not only the structural stability of the buildings but also the conservation of cultural heritage. …”
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Vision Sensor for Automatic Recognition of Human Activities via Hybrid Features and Multi-Class Support Vector Machine by Saleha Kamal, Haifa F. Alhasson, Mohammed Alnusayri, Mohammed Alatiyyah, Hanan Aljuaid, Ahmad Jalal, Hui Liu

“…The experimental findings show that our model outperforms others in terms of classification, accuracy, and generalization, indicating its efficient analysis on benchmark datasets. …”
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Pothole detection and segmentation in the Bushveld Complex using physics-based data augmentation and deep learning by Glen T. Nwaila, Musa S.D. Manzi, Emmanuel John M. Carranza, Raymond J. Durrheim, Hartwig E. Frimmel

“…We demonstrate that a self-reinforcing feedback loop of knowledge-driven data engineering and deep learning has the potential to overcome data quality issues in supervised tasks of seismic data analysis. …”
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