Sharing Economy for Cost Reduction and Efficiency Increase: The Case of Sharing E-Commerce Logistics by Qiang Wei, Daguang Sun, Xinyu Gou, Chunguang Bai

“…By comparing the earnings data of several listed express companies, we analyze four types of optimization strategies: the order flow proportion revenue sharing strategy (RE-OFP), the combined factors revenue sharing strategy (RE-RSF), the order flow proportion risk sharing strategy (RS-OFP), and the combined factors risk sharing strategy (RS-RSF). …”
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A Dynamic Scheduling Method Combining Iterative Optimization and Deep Reinforcement Learning to Solve Sudden Disturbance Events in a Flexible Manufacturing Process by Jun Yan, Tianzuo Zhao, Tao Zhang, Hongyan Chu, Congbin Yang, Yueze Zhang

“…Based on the DRL model, an agent training strategy and an autonomous decision-making method are proposed. …”
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In-hospital versus after-discharge complete revascularization in patients with ST segment elevation myocardial infarction and multivessel disease. REVIVA-ST trial. by Eva Rumiz, Ernesto Valero, Carmen Fernandez, Juan Vicente Vilar, Mauricio Pellicer, Andres Cubillos, Alberto Berenguer, Lorenzo Facila, Joan Vaño, Julio Nuñez

“…We found a significant reduction in the length of hospital stay in those assigned to after-discharge CR strategy [4 days (3-5) versus 7 days (5-9); p = 0.001]. …”
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Mathematical analysis of the transmission dynamics of HIV/TB coinfection in the presence of treatment by Oluwaseun Sharomi, Chandra N. Podder, Abba B. Gumel, Baojun Song

“…Finally, the universal strategy saves morecases of the mixed infection than any of the other strategies.…”
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The User Participation Incentive Mechanism of Mobile Crowdsensing Network Based on User Threshold by Hua Su, Qianqian Wu, Xuemei Sun, Ning Zhang

“…On the basis of studying and analyzing the strategy of user participation incentive mechanism, this paper proposes the user threshold-based cognition incentive strategy against the shortcomings of existing incentive strategies, such as task processing efficiency and budget control. …”
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Targeted poverty alleviation promotes sustainable socio-economic and ecological development in China’s poor areas by Xunhuan Li, Yang Zhou

“…However, the effectiveness of the TPA strategy in facilitating sustainable development in the poor areas of China (PAC) remains unclear. …”
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Adaptive-mutation Whale Optimization Algorithm for Flood Control Operation of Reservoir Groups by GONG Jintai, FENG Zhongkai, WANG Sen, JIA Wenhao

“…Flood control operation of reservoir groups is a complex nonlinear optimization problem involving multiple dimensions,variables,and stages,and plays a vital role in developing efficient and stable methods to enhance the overall flood control capacity of river basins.Whale optimization algorithm (WOA) is an innovative evolutionary algorithm inspired by whale predation behaviors.However,when it is employed to solve flood control operation,problems of premature convergence and proneness to fall into local optimum will occur.To this end,this paper proposes an adaptive-mutation whale optimization algorithm (AWOA) for solving the flood control operation of reservoir groups.In AWOA,an enhanced chaotic strategy is adopted to ensure the dispersion and uniformity of the initial operation scheme.Secondly,a reverse oscillation mutation strategy is utilized to enhance the global search ability.Finally,an adaptive weight strategy is leveraged to realize local fine exploration.Classical test functions and typical operation scenarios in West River show that the proposed method has significant peak shaving effects under various scenarios.With a fast convergence rate and high search accuracy,AWOA provides a novel and practical method for solving the flood control operation of reservoir groups.…”
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Coordinated Control for Driving Mode Switching of Hybrid Electric Vehicles by Yanyan Zuo, Rui Sun, Jiuyu Zang, Mingyin Zheng

“…Characteristic analysis of the power coupling mechanism was carried out, and the control strategy model in MATLAB/Simulink was built. Subsequently, the analysis of mode switching from the electric mode into joint driving mode was simulated. …”
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Design and dSPACE Implementation of a Simplified Fuzzy Control of a DC-DC Three-Level Converter by Hajar Doubabi, Issam Salhi

“…In this paper, a new simplified output tracking control strategy for a DC-DC three-level boost converter is presented. …”
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The Changing World Order and US-China Maritime Power Contestation in the Indo Pacific by Muhammad Zubair Cheema, Lubna Sunawar

“…It is an in-depth study of Chinese maritime vulnerability and adopted strategy to overcome it. The research employs theoretical lens of Offensive Realism for studying the U.S national strategy to retain stature of hegemon and Defensive Realist lens to study the adopted Chinese strategy to ensure her steady rise and safeguarding its strategic maritime vulnerabilities. …”
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The role of gamified environmental interpretation in boosting destination perceived value by Ana Isabel Polo-Peña, María Lina Fernández-Ruano, Dolores María Frías-Jamilena

“…This study examines the effectiveness of a strategy designed to enhance destination perceived value (PV) by raising tourists’ awareness and understanding of sustainability. …”
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Phonetics Applied to English for Specific Purposes in 5th year-medicine Students. by Elizabeth Mercedes Monagas Alvarez

“…<strong><br />Objective:</strong> to elaborate a methodological strategy that allows the development of pronunciation skills in English with medical purpose in 5th year students. …”
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Evolution of dispersal and the ideal free distribution by Robert Stephen Cantrell, Chris Cosner, Yuan Lou

“…A general question in the study of the evolution of dispersalis what kind of dispersal strategies can conveycompetitive advantages and thus will evolve.We consider a two species competition modelin which the species are assumed to have the same population dynamics but different dispersal strategies.Both species disperse by random diffusion and advection along certaingradients, with the same random dispersal rates but different advectioncoefficients.We found a conditional dispersal strategy which results in the ideal free distribution of species,and show that it is a localevolutionarily stable strategy.We further show that this strategyis also a global convergent stable strategyunder suitable assumptions, and our resultsillustrate how the evolution of conditional dispersal can lead to an ideal free distribution.The underlying biological reason is thatthe species with this particular dispersal strategy can perfectly match the environmentalresource, which leads to its fitness being equilibrated across the habitats.…”
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Restoration Model for Cascading Overload Failure in Syncretic Railway Network by Qingwei Zhong, Su Liu, Jingwei Guo, Linfeng Zhong, Zhihong Yao

“…Specifically, three different restoration strategies—spontaneous restoration strategy (SRS), active restoration strategy (ARS), and hybrid restoration strategy (HRS)—are proposed, and the varying effects of restoration time, restoration probability, restoration objective, and restoration priority for SRN with ARS are compared. …”
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High-Order Observer-Based Sliding Mode Control for the Isolated Microgrid with Cyber Attacks and Physical Uncertainties by Hao Wang, He Jiang, Yan Zhao, Huanxin Guan, Bo Hu, Shunjiang Wang

“…Finally, simulation results show that the proposed control strategy has excellent control performance.…”
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Evolutionary Game Dynamics for Financial Risk Decision-Making in Global Supply Chain by Zhi Li, Guanghao Jin, Shen Duan

“…Based on the theory analysis and simulation results, it is shown that the cooperation strategy is the optimal evolutionarily stable strategy (ESS) for all supply chain members, when facing the high financial risk. …”
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Evolutionary Game Analysis of Knowledge Sharing in Low-Carbon Innovation Network by Cuicui Zheng

“…The influence of the network knowledge sharing cooperation strategy is obtained through simulation to change the size of the relevant parameters so that the network knowledge sharing cooperation agent chooses the network evolution game of the sharing strategy to realize the optimal evolutionary stable strategy. …”
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Parallel division clustering algorithm based on Spark framework and ASPSO by Yimin MAO, Dejin GAN, Liefa LIAO, Zhigang CHEN

“…To deal with the problems that the partition clustering algorithm for processing massive data encountered problems such as large data dispersion coefficient and poor anti-interference, difficulty to determine the number of local clusters, local cluster centroids randomness, and low efficiency of local cluster parallelization and merging, a parallel partition clustering algorithm based on Spark framework and ASPSO (PDC-SFAS PSO) was proposed.Firstly, a meshing strategy was introduced to reduce the data dispersion coefficient of the data division and improve anti-interference.Secondly, to determine the number of clusters, meshing strategy based on potential function and Gaussian function were proposed, which formed an area with different sample points as the core clusters, and obtained the number of local clusters.Then, to avoid local cluster centroids randomness, ASPSO was proposed.Finally, a local cluster merging strategy based on cluster radius and neighbor nodes was introduced to merge clusters with large similarity based on the Spark parallel computing framework, which improved the efficiency of parallel merging of local clusters.Experimental results showed that the PDC-SFASPSO algorithm has good performance in data partitioning and clustering in a big data environment, and it was suitable for parallel clustering of large-scale data sets.…”
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Successful Use of Cyclophosphamide as an Add-On Therapy for Multiple Myeloma Patients with Acquired Resistance to Bortezomib or Lenalidomide by Shigeki Ito, Tatsuo Oyake, Kazunori Murai, Yoji Ishida

“…However, the treatment strategy for patients who acquired resistance to these agents has not been established. …”
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Multimodel Modeling and Predictive Control for Direct-Drive Wind Turbine with Permanent Magnet Synchronous Generator by Lei Wang, Tao Shen, Chen Chen

“…Then a multivariable control strategy based on model predictive control techniques for the control of variable-speed variable-pitch wind turbines is proposed. …”
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