Effects of Supply Chain Strategy on Stump Fuel Cost: A Simulation Approach by Anders Eriksson, Lars Eliasson, Per-Anders Hansson, Raida Jirjis

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Hierarchical Multiobjective Dispatching Strategy for the Microgrid System Using Modified MOEA/D by Xiaofeng Wan, Hai Lian, Xiaohua Ding, Jin Peng, Yining Wu

“…In this paper, a hierarchical microgrid dispatching strategy considering the user-side demand is proposed. …”
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Evaluation of coloring therapy as an anxiety reduction strategy in the older adults in the community area by Putri Noor Rochmah Ida Ayu Trisno, Cahyaningrum Etika Dewi, Wurdaningsih Tri Kusuma, Syangadah Zulfiati, Mesayu Salma Fadzila

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Cooperative learning strategy type STAD for economic business in SMK Bhakti Bangsa by Muhammad Fasya Fanshary Aksa, Maya Gita Cahyani, Amanda Tri Damayanti

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Textured mat influence on muscle activity and balance strategies for chronic ankle instability by Nanthiphak Konphet, Akkradate Siriphorn

“…Purpose To evaluate the impact of textured mats on muscle activation and postural sway to enhance neuromuscular control and balance strategies in the rehabilitation of chronic ankle instability (CAI). …”
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Fuel R&D Needs and Strategy towards a Revision of Acceptance Criteria by François Barré, Claude Grandjean, Marc Petit, Jean-Claude Micaelli

“…For this purpose, a R&D strategy has been defined at IRSN.…”
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Formation of Technological Sovereignty in the Implementation of Strategies for the Development of Hydrocarbon Fields in the Russian Arctic by Sergey S. Vopilovskiy

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Correlation Coefficient Filtering Method for Optimal Sensor Layout Strategies in Inverse Problems by Qingyang Yuan, Xiangji Guo, Jiajie Han, Bingyue Han, Bo Zhang, Tian Lan

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British Policy and Strategy in the Middle East in 1941: Three Wars ‘East of Suez’ by A. M. Fomin

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Evaluating Trends in Interior Design Strategies and Their Impact on the Emotional Experience of Older Adults by Lintong Li, Suhua Wang, Noranita Mansor, Athira Azmi, Jialing Xiang

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Heuristic Algorithm for Cross-Platform Credit Risk Transmission Based on Hybrid Strategies by Zhang Xiaodong, Shen Hong, Wang Tao, Li Yazhi

“…A heuristic algorithm based on hybrid strategies (HAHS) is proposed to find risk transmission paths and calculate the influence of nodes. …”
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Green city: An efficient task joint execution strategy for mobile micro-learning by Li Yang, Ruijuan Zheng, Junlong Zhu, Mingchuan Zhang, Ruoshui Liu, Qingtao Wu

“…Finally, the genetic algorithm is used to find the optimal executive strategy. In addition, the experimental results show that the proposed method can effectively realize the target of energy saving by using real data set.…”
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Role of SarA in Staphylococcus aureus: A Virulence Target For Therapeutic Strategies by Yi He Kuai, Jodi Woan-Fei Law, Yong Sze Ong, Vengadesh Letchumanan, Learn-Han Lee, Loh Teng-Hern Tan

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A Modeling Strategy for Predicting the Response of Steel Plate-Concrete Composite Walls by Mohammad Sadegh Barkhordari

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The Use of Modern Tools to Enhance Communication Skills of Managers During the Strategy Process by Amina Keltoum Belfodil, Rafika Harrouch

Subjects: “…Strategy Process…”
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Real‐world efficacy of transfusion with liberal or restrictive strategy in traumatic brain injury by Liang‐Wen Cui, Nian Liu, Chao Yu, Ming Fang, Rui Huang, Cheng Zhang, Min Shao

“…Interpretation Compared with the restrictive strategy, the liberal strategy does not improve the short‐term neurological prognosis and death among patients with TBI in a real‐world situation. …”
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Assessing Mitigation Strategies to Reduce Potential Exposures to Indoor Particle Release Events by Katie Van Valkinburgh, Ali Mohammadi Nafchi, Ehsan Mousavi, Vincent Blouin, Nigel Kaye, Andrew R. Metcalf

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Relations Between Symptoms, Attachment and Thought Control Strategies in Obsessive Compulsive Disorder by Sevginar Vatan

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Joint optimization strategy of service cache and resource allocation in mobile edge network by Long LONG, Zichen LIU, Zaiwang LU, Yucheng ZHANG, Lei LI

“…Aiming at the problem that computing and storage resources of edge node in a mobile edge computing (MEC) system were limited, and excessive task offloading would cause the mismatch between the computing capacity and the load capacity of the edge server, resulting in the increase of task processing delay, the joint optimization of task offloading and storage resources under the three-layer network architecture composed of multi-user, edge server and cloud server was studied to reduce the overall system delay.For the problem was a mixed integer nonlinear problem, a joint optimization strategy of service caching and resource allocation was proposed.First, the continuous and discrete variables of the original problem were decoupled into two sub-problems, namely, the service cache decision problem and the joint optimization problem of computing resources and communication resources.Then, the linear reconstruction, relaxation method and convex optimization method were used to alternately optimize the two sub-problems to obtain the near-optimal solution.Simulation results demonstrate that the proposed strategy can obtain a near-optimal performance with low complexity, and can reduce up to 10% of the task duration compared with other strategies.…”
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Rapid IO routing strategy based on improved glowworm swarm optimization algorithm by Congyue YIN, Xingming ZHANG, Quan REN, Shuai WEI

“…Aiming at the problem of Qo S routing in Rapid IO network,a Rapid IO routing strategy based on improved glowworm swarm optimization algorithm was proposed.Firstly,gaussian mutation and storage mechanism were used to optimize the traditional firefly algorithm.Gaussian mutation can effectively control the scattering degree of the solution in the search space of the algorithm,so that the algorithm avoids falling into a local optimum.The storage mechanism is conducive to evaluating and storing the historical state of each glowworm,preventing information loss.Then combine the improved glowworm swarm optimization algorithm with the actual Rapid IO network Qo S problem and select the final best routing strategy.The experimental results show that in the simulated Rapid IO test network,the improved glowworm swarm optimization algorithm has a delay of 42 ms,delayed jitter of 8 ms,a minimum cost of 64 ms,and a total of 8 iterations,which is more stable than other algorithm curves.It can find the optimal solution more quickly and show the best performance,effectively solving the Qo S routing problem of Rapid IO network.…”
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