Development and Implementation of a Healthcare Resource Allocation System: A Case Studay of Rugarama Hospital. by Byamukama, Hillary, Bwambale, Gedion

“…The study focused on designing a robust system to enhance operational efficiency. During the investigation phase, an in-depth analysis of current practices was conducted, incorporating feedback from healthcare staff and administrators. …”
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Optimization Algorithm of Communication Resource Allocation in a Complex Network Based on an Improved Neural Network by Haomiao Zhang, Qing Liu

“…Increase inertia improves the traditional BP neural network algorithm, using the average path length, clustering coefficient, and connectivity distribution index analysis of the complex network; the improved Hopfield neural network is utilized to confirm each user volume size; it is concluded that their users are able to get the number of subchannels, through the instantaneous channel coarse pair gain dynamic channel allocation, calculating bit load matrix at the same time, minimize transmission power, and achieve bit loading and power allocation and communication resource allocation optimization. …”
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BIRD-WATCHING AS A COMPONENT OF ECOTOURISM IN THE USA: A DEMOGRAPHIC AND ECONOMIC ANALYSIS by Olexander Beidyk, Natalia Novosad

“…The features of allocation of tourist charges of bird-watching are investigational in the various sectors of economy of country. …”
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Navigating economic growth targets: the role of innovation-driven strategies in regional talent allocation in China by Shenshen Si, Yan Jiang, Jing Li

“…Conversely, innovation-driven approaches substantially enhance talent allocation efficiency, demonstrating stronger impacts in non-capital cities and innovation hubs. (2) Mechanistic analysis reveals dual pathways: Growth targets exacerbate local protectionism and market fragmentation, thereby impeding marketization processes and talent mobility. …”
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An interval type-2 fuzzy multi-criteria decision-making approach for patient bed allocation by Liqun Chen, Weibo Liu, Jianghua Zhang

“…The proposed framework effectively models interdependencies and provides transparent, structured rankings, offering a robust tool for equitable and efficient resource allocation in capacity-constrained healthcare settings. …”
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A new method of task aggregation and optimization allocation for multiple groups collaborative task networks by WeiWei Du, XiaoWei Chen

“…Abstract As task diversity and inter-task relationship complexity grow, optimal formation power allocation is key to improving task execution efficiency. …”
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Joint Allocation of Shared Yard Space and Internal Trucks in Sea–Rail Intermodal Container Terminals by Xiaohan Wang, Zhihong Jin, Jia Luo

“…This model simultaneously determines yard allocation, container transfers, and truck allocation. …”
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Efficiency analysis of primary health care resources: DEA and Tobit regression evidence from village clinics in Jiangsu Province by Wei Jiang, Boyi Yang, Xiaoli Dai, Shanshan Li

“…BackgroundVillage clinics are essential for delivering primary health care in rural China, yet their resource allocation efficiency remains a concern. Many clinics face challenges such as low technical efficiency, imbalanced resource distribution, and insufficient technological progress, which may hinder the delivery of quality healthcare services.MethodsThis study evaluates the resource allocation efficiency of village clinics across 13 cities in Jiangsu Province, China, using Data Envelopment Analysis. …”
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Optimal Allocation of Community Distributed Energy and Storage Based on Regional Autonomous Balance and Sharing Mechanism by Jiangping Liu, Jing Wang, Xue Cui, Peng Liu, Pingzheng Tong, Xuehan Dang

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Resource allocation strategies and task scheduling algorithms for cloud computing: A systematic literature review by Kareem Awad Waleed, Zainol Ariffin Khairul Akram, Nazri Mohd Zakree Ahmad, Yassen Esam Taha

“…Efficient allocation and scheduling of resources are critical in cloud computing, as they directly impact system performance, resource utilization, and cost efficiency in dynamic and heterogeneous conditions. …”
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Empirical Evaluation and Scalability Analysis of Proof of Team Sprint (PoTS): Reward Fairness, Energy Efficiency, and System Stability by Naoki Yonezawa

“…The skewness and kurtosis of the reward distribution decreased as team size increased, confirming that PoTS fosters a more equitable allocation of mining rewards. Energy efficiency analysis revealed that PoTS exhibits a near <inline-formula> <tex-math notation="LaTeX">$1/N$ </tex-math></inline-formula> scaling trend in computational workload, where N is the team size. …”
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Optimizing resource allocation in remote healthcare via blockchain-enabled decentralized networks and spectral clustering by A. Kanimozhi, K. Vidya

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Optimization of Line Planning by Integrating Ticket Pricing and Seat Allocation Decisions for High-Speed Railway by Xin Shi, Wenliang Zhou, Xiang Li

“…This study constructs a nonlinear optimization model of line planning integrating differentiated pricing and seat allocation decisions for HSR under elastic demand. To efficiently solve the model, an improved heuristic algorithm based on the simulated annealing framework combined with a linear passenger flow allocation method is proposed. …”
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Adaptive Slotframe Allocation with QoS and Energy Optimization in 6TiSCH for Industrial IoT Applications by Nilam Pradhan, Bharat S. Chaudhari, Prasad D. Khandekar

“…The mechanism integrates real-time queue backlog monitoring, link performance analysis, and energy harvesting awareness to optimize cell scheduling decisions proactively. …”
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Optimizing Precipitation Forecasting and Agricultural Water Resource Allocation Using the Gaussian-Stacked-LSTM Model by Maofa Wang, Bingcheng Yan, Yibo Zhang, Lu Zhang, Pengcheng Wang, Jingjing Huang, Weifeng Shan, Haijun Liu, Chengcheng Wang, Yimin Wen

“…Additionally, we demonstrate the practical benefits of precipitation forecasts in optimizing water resource allocation. A prediction-based strategy outperforms equal distribution in managing resources efficiently, as shown in a case study using 2022 Beidahu data. …”
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Three decades in healthcare service efficiency evaluation: a bootstrapping Data Envelopment Analysis (DEA) of Ministry of Health Malaysia by M Zulfakhar Zubir, Aizuddin A.N, Mohd Rizal Abdul Manaf, A Aziz Harith, M Ihsanuddin Abas, Maizatul Izyami Kayat, M Firdaus M Radi, Mas Norehan Merican, Nurcholisah Fitra, Affendi M Ali, Sharifah Ain Shameera Syed Rusli

“…Methods Three output variables (number of admissions, number of outpatient attendances, and number of maternal and child health attendances) and six input variables (budget allocation, number of doctors, dentists, pharmacists, nurses, and community nurses) were used in a Data Envelopment Analysis (DEA) Window Analysis. …”
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Assessing the Spatial Efficiency of Xi’an Rail Transit Station Areas Using a Data Envelopment Analysis (DEA) Model by Haiyan Tong, Quanhua Hou, Xiao Dong, Yaqiong Duan, Weiming Gao, Kexin Lei

“…Key factors such as land use, transportation systems, social aspects, and spatial efficiency are considered in the framework. A data envelopment analysis (DEA) method was used to evaluate the spatial efficiency of these sample station areas. …”
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Evaluating the performance of Moroccan social incubators: an SFA analysis of youth platforms under the national initiative for human development by Younes El Maaqili, Mariam Tlemcani Mhandez, Abdessamad Ouchen

“…Research methodology – Based on a sample of 40 NIHD youth platforms, the stochastic frontier analysis (SFA) method was applied to measure their technical efficiency (TE), and then the  determinants of the TE obtained were analysed by a regression using the Tobit model.  …”
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Spatiotemporal Variation Characteristics of Green Water Resource Consumption and Utilization Efficiency in Jiangxi Province by WU Zhi-ling, TU An-guo, NIE Xiao-fei, MO Ming-hao

“…The Mann-Kendall trend analysis method was then applied to quantitatively evaluate the spatiotemporal trends in green water consumption and utilization efficiency across Jiangxi Province. …”
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Implications of algorithmic bias in AI-driven emergency response systems by Katsiaryna Bahamazava

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