Deep reinforcement learning for multi-objective location optimization of onshore wind power stations: a case study of Guangdong Province, China by Yanna Gao, Hong Dong, Liujun Hu, Fanhong Zeng, Yuqun Gao, Zhuonan Huang, Shaohua Wang, Shaohua Wang

“…Overall, the MO-MCLP model with DRL solution provides actionable insights for sustainable energy infrastructure planning by delivering high-quality site allocations efficiently.…”
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Strategic investment patterns of the medical industry in senior health by Xinyu Li, Ping Tong, Bangsen Zhu, Bangsen Zhu

“…All paths demonstrate that “fiscal leverage + market incentives + digital empowerment + institutional safeguards” in four-dimensional linkage are pivotal to improving resource-allocation efficiency. Robustness tests confirm the stability of each pathway after threshold adjustments and outlier exclusions, bolstering the external validity of the findings. …”
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Mapping the interactions of critical factors in China’s first-contact healthcare systems using causal loop diagrams by Wenjun He, Yusupujiang Tuersun, Tao Yang, Yuting Wan, Minji Yong, Zizhen Huang, Zhiyong Xiao, Menglin Luo, Yujia Zhang, Yujie Liu, Tao Yang, Yi Qian, Dong Roman Xu

“…Abstract Background Primary healthcare plays a pivotal role in optimizing healthcare resource allocation and ensuring equitable access to services. …”
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Machine Learning in the National Economy by Azamjon A. Usmonov

“…Key areas of using this technology in the economy are analyzed, such as market trend forecasting, financial risk management, and economic data analysis. Special attention is given to the advantages of machine learning, including improved decision-making efficiency, process automation, and handling large volumes of data. …”
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Balancing the Demands of Older People and Care Services of Healthy Aging: Assessment and Positioning of Care Facilities by Kai Zhang, Dan Li, Xiaoting Cheng

“…The older people can choose suitable facilities by their demands, while facilities can enhance service quality accordingly. Governments can allocate resources efficiently and promote healthy aging.…”
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Socio‑Economic Determinants of Construction Sector Development by Florian Gerth, Martin O’Brien, Karol S. Sikora

“…Lastly, the significant impact of the Covid-19 crisis on the Cambodian economy, particularly the role of FP (fiscal policy) and MP (monetary policy) and efficient resource allocation within the construction industry. …”
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Enhancing revenue generation in Bangladesh’s FinTech sector: a comprehensive analysis of real-time predictive customer behavior modeling in AWS using a hybrid OptiBoost-EnsembleX m... by Avijit Chowdhury

“…The anticipation of future customer conduct is a cornerstone for resource allocation in sales and marketing, enabling strategic decision-making in manufacturing operations, inventory planning, and point-of-sale scenarios. …”
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Modeling Short-Term Drought for SPEI in Mainland China Using the XGBoost Model by Fanchao Zeng, Qing Gao, Lifeng Wu, Zhilong Rao, Zihan Wang, Xinjian Zhang, Fuqi Yao, Jinwei Sun

“…Accurate drought prediction is crucial for optimizing water resource allocation, safeguarding agricultural productivity, and maintaining ecosystem stability. …”
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CONCEPTUAL MODEL OF AN IT-SOLUTIONS FOR PATENT RESEARCH AUTOMATION by N. A. Kashevarova, V. O. Gorogankin, P. A. Slobodyansky

“…It has been proven that since the future strategy of the company depends on such a large dataset and the person is not able to assess the situation efficiently and consider a broad introduction, reengineering of the process of data collection and analysis is required, on which the fate of the enterprise depends. …”
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Investigating the Impact of Tillering on Yield and Yield-Related Traits in European Rice Cultivars by Argyrios Kalaitzidis, Kalliopi Kadoglidou, Ioannis Mylonas, Sopio Ghoghoberidze, Elissavet Ninou, Dimitrios Katsantonis

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A data-driven approach utilizing machine learning (ML) and geographical information system (GIS)-based time series analysis with data augmentation for water quality assessment in M... by Abhijeet Das

“…Our research in Mahanadi River Basin, Odisha, presents an enhanced methodology based on data, specifically designed to be beneficial for Water Quality (WQ) based on Synthetic Pollution Index (SPI) and machine learning models such as Long Short-Term Memory (LSTM) and Sparrow Search Algorithm (SSA), for its analysis and interpretation of extensive, intricate data sets on water quality, as well as the allocation of pollution sources or contributing elements, in order to improve knowledge of the water quality and the planning of monitoring networks for efficient water resource management. …”
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AUV path planning method based on improved sparrow search algorithm by Lijun TANG, Yunxia FAN, Xingyu ZHOU, Qian SUN

“…The goal is to enhance the efficiency and robustness of path planning by minimizing navigation time and improving path stability in uncertain conditions. …”
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Diagnostics of the influence of medical and demographic indicators on regional socio-economic systems by M. A. Barinov

“…The subjects were grouped according to the quality of medical and demographic characteristics on the basis of the cluster analysis with further allocation of flagship, catching-up and lagging regions. …”
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Advancing Road Safety Through Intelligent Vehicle Accident Detection and Reporting Enabled by IoT Innovation by Rahat Ullah Khattak, Abdullah

“…The system's intelligence lies in its ability to not only detect accidents but also to assess their severity based on sensor data analysis, enabling a more targeted and efficient emergency response. …”
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Costs of stereotactic ablative radiotherapy compared to conventional radiotherapy in the treatment of non-small cell lung cancer – a micro-costing study using Time-Driven Activity... by Fernando Henrique de Albuquerque Maia, Karina Gondim Moutinho da Conceição Vasconcelos, Heloisa de Andrade Carvalho, Patrícia Coelho de Soárez

“…These results may influence healthcare policies and the financing of the healthcare system, directly benefiting patients and promoting the efficient allocation of resources.…”
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Cost-effectiveness study of the MitraClip system for mitral regurgitation treatment in inoperable patients by E. G. Fedina, K. A. Perova, T. S. Teptsova, D. S. Shchurov

“…Based on the BIA results of the MitraClip system, its use would lead to an increase in costs by 12.6 billion rubles (+6.09%, minimal scenario), by 37.8 billion rubles (+18.28%, optimal scenario) or by 63 billion rubles (+30.47%, maximum scenario).Conclusion. As a result of the analysis performed, it was found that economic efficiency is noted with an increasing time horizon of up to five years. …”
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Iterative Configuration of T-Timed Colored Petri Nets by a MILP Model for Rail Freight Volume and Rolling Stock Planning by Grazielle F. da Silva, Lucas S. M. Guedes, Rodney R. Saldanha, Carlos Andrey Maia, Tomas B. F. Tamantini

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Empowering sustainable development: revolutionizing agricultural green total factor productivity through rural digitalization by Fanjun Zeng, Fanjun Zeng, Yingying Zhou, Yingying Zhou, Bin Wei, Bin Wei

“…Additionally, the government should pay close attention to disparities in informatization levels and resource allocation across regions and develop targeted strategies accordingly. …”
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Epidemic Outbreak of a Shigellosis Zonne in the Republic Abkhazia in 2013 by G. G. Onishhenko, E. B. Ezhlova, Yu. V. Demina, A. N. Kulichenko, V. N. Savel’Ev, D. S. Agapitov, A. S. Volynkina, I. V. Kuznetsova, T. V. Taran, D. V. Efremenko, A. I. Belyaeva, Z. G. Marshan, L. M. Polikhova, V. V. Bartsits, V. G. Orobej

“…Work purpose. The analysis of epidemiological features of outbreak of a shigellosis in Tkuarchal in the Republic Abkhazia in 2013 and efficiency of actions for its elimination. …”
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Optimization of energy management strategies for multi-mode hybrid electric vehicles driven by travelling road condition data by Hongxia Wang, Cheng Chang, Zhiyi Pan, Xuewen Zhai, Hanwu Liu, Supeng Zhang, Yubo Liu

“…Abstract The fuel efficiency of plug-in hybrid electric vehicle is influenced by various factors, including working conditions, driving style, and environmental variables, with the design of their energy management strategy (EMS) serving as the core and critical technology. …”
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