“Making” Rural Elites: Empowerment of Chinese Rural “Public Affairs Live Streamers” on Short Video Platforms by Yayun Tong, Zhenghua Zhang, Yuxiao Wang

“…However, their empowerment is constrained by the platform’s algorithm distribution mechanisms and opaque content regulation, making the conversion of capital unstable, traffic-dependent, and challenging to sustain. …”
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Exploring the Balance Between Ecosystem Services and Economic Benefits via Multi-Objective Land Use Optimization by Xiaoyun Li, Zhaonian Lu

“…The non-dominated sorting genetic algorithm II (NSGA-II) and the future land simulation (FLUS) model are integrated innovatively to explore optimal land use in terms of both quantity and spatial distribution. …”
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Research on the Evaluation of the Node Cities of China Railway Express Based on Machine Learning by Chenglin Ma, Mengwei Zhou, Wenchao Kang, Haolong Wang, Jiajia Feng

“…This study pioneers a data-driven approach by integrating multi-source geospatial data and advanced machine learning algorithms to develop a comprehensive evaluation framework spanning five critical dimensions: economic vitality, ecological sustainability, logistics capacity, network connectivity, and policy support. …”
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Evaluation of Knowledge Management Maturity Level in Iranian Audiovisual Archives Based on the APQC Model by Sepideh Ciruskabiri, Atefeh Sharif, Saeed Rezaei Sharifabadi, Mohammad Hassanzadeh

“…Moreover, investment in modernizing technological infrastructures and integrating innovative tools—such as artificial intelligence and machine learning algorithms—can markedly enhance the processes of data collection, storage, and retrieval. …”
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How Cybersecurity Leadership Became the New Critical Managerial Competency in Healthcare Administration by Ebone McCoy

“…The article asserts that cybersecurity must be embedded as a core strategic imperative, on par with patient safety and clinical excellence, for the healthcare sector to navigate future crises and preserve institutional integrity. It concludes by outlining policy recommendations and best practices for healthcare organizations to enhance their cyber resilience and overall preparedness for future challenges.…”
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Quantum-inspired robust optimization for coordinated scheduling of PV-hydrogen microgrids under multi-dimensional uncertainties by Yunxiao Bai, Yu Sui, Xiaoyu Deng, Xiangbing Wang

“…Abstract The integration of photovoltaic (PV) generation and hydrogen storage in rural microgrids enables clean, long-duration energy supply, yet introduces operational challenges under high uncertainty. …”
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Revolutionizing Nursing and Midwifery Informatics Curriculum Evaluation in Ghana: A Data-Driven Machine Learning Approach by Iven Aabaah, Japheth Kodua Wiredu, Bakaweri Emmanuel Batowise, Nelson Abuba Seidu

“…These findings offer actionable insights for curriculum development and healthcare policy planning in resource-constrained settings, advocating for the integration of machine learning tools into academic evaluations. …”
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Efficient and assured reinforcement learning-based building HVAC control with heterogeneous expert-guided training by Shichao Xu, Yangyang Fu, Yixuan Wang, Zhuoran Yang, Chao Huang, Zheng O’Neill, Zhaoran Wang, Qi Zhu

“…In this work, we present a systematic approach to accelerate online reinforcement learning for HVAC control by taking full advantage of the knowledge from domain experts in various forms. Specifically, the algorithm stages include learning expert functions from existing abstract physical models and from historical data via offline reinforcement learning, integrating the expert functions with rule-based guidelines, conducting training guided by the integrated expert function and performing policy initialization from distilled expert function. …”
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A data-physical fusion method for economic dispatch considering high renewable penetration and security constraints by Yuchen Dai, Wei Xu, Xiaokang Wu, Minghui Yan, Feng Xue, Jianfeng Zhao

“…Then, a physics-informed neural network based on the deep deterministic policy gradient algorithm is employed for fine-tuning and transfer learning. …”
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Model-Based RL Decision-Making for UAVs Operating in GNSS-Denied, Degraded Visibility Conditions with Limited Sensor Capabilities by Sebastien Boiteau, Fernando Vanegas, Julian Galvez-Serna, Felipe Gonzalez

“…The framework was first assessed in simulation, compared with a baseline algorithm, and then through real-life testing across several scenarios. …”
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Development and validation of a distributed representation model of Japanese high-dimensional administrative claims data for clinical epidemiology studies by Hiroki Matsui, Kiyohide Fushimi, Hideo Yasunaga

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Convex Optimization of Markov Decision Processes Based on Z Transform: A Theoretical Framework for Two-Space Decomposition and Linear Programming Reconstruction by Shiqing Qiu, Haoyu Wang, Yuxin Zhang, Zong Ke, Zichao Li

“…This study establishes a novel mathematical framework for stochastic maintenance optimization in production systems by integrating Markov decision processes (MDPs) with convex programming theory. …”
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Multi-Agent Coordinated Dispatch of Power Grid and Pumped Hydro Storage with Embedded Market Game Model by LOU Wei, HU Rong, YU Jinming, ZHANG Xipeng, FAN Feilong, LIU Songyuan

“…The embedded bi-objective problem is solved by using the NSGA-II algorithm. Finally, based on the data from a pumped storage power station in East China, a simulation model is built to verify the effectiveness of the proposed method. …”
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Spatiotemporal assessment of ecological quality and driving mechanisms in the Beijing metropolitan area by Aibo Jin, Hui Li, Xiangrong Wang, Ziyao Wang

“…This research offers a robust quantitative framework for regional ecological conservation, providing critical insights to inform sustainable development and environmental policy-making.…”
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GEOECOLOGICAL DIAGNOSTICS OF THE REGIONS IN THE CENTRALBLACK SOIL REGION by S. A. Kurolap, N. V. Yakovenko, V. I. Fedotov, V. B. Mikhno, L. N. Kostyleva

“…The authors propose an algorithm to perform geoecological diagnostics of the large region. …”
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The State of Artificial Intelligence and its Prospects in Pakistan's Medical Sector by Rohail Akhtar Habib, Yumna Sattar Khan

“…Predictive analytics using machine learning algorithms has become more popular in Pakistani healthcare. …”
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Ethical and Legal Challenges of Implementing AI in Science and Math Education in Central Asia by Dilfuza M.Makhmudova, Xilola R. Sharipova, Nosirjon K. Hojiyev, Azamat E.Ergashev, Yulduzknon Kh.Satvaldieva, Khosiyat U.Mamatkulova, Egambergan M. Khudoynazarov

“…Qualitative interviews (N = 18) uncovered recurring themes such as lack of legal frameworks, teacher autonomy dilemmas, and algorithmic bias in grading systems. The study highlights a critical need for policy interventions and professional development targeting ethical and legal dimensions of AIEd in post-Soviet education systems. …”
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The necessity of the Black Sea region transport structure improvement by L.V. Nazarova

“…The author has developed the algorithm of the logistic system product distribution (LSPD) that functions in two directions. …”
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Innovative approach for gauge-based QPE in arid climates: comparing neural networks and traditional methods by Bayan Banimfreg, Ernesto Damiani, Vesta Afzali Gorooh, Duncan Axisa, Luca Delle Monache, Youssef Wehbe

“…This study investigates rainfall variability from 2003 to 2021, emphasizing the integration of machine learning to enhance the accuracy of Quantitative Precipitation Estimation (QPE). …”
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Early feature study of Yunnan pine pinewood nematode disease based on hyperspectral remote sensing of ground objects by Xiao Zhang, Yingqun Gao, Lianjin Fu, Yiran Zhang, Zeyu Li, Qingtai Shu

“…This study investigated early-stage PWD by integrating 350–2500 nm hyperspectral data acquired with an ASD FieldSpec 4 and biochemical analysis. …”
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