The effect of academic enthusiasm on academic hope through the mediating role of academic optimism in students by Gholamhasan Panahi, Tayebeh Ordouni, Sajad Kazemi

“…The aim of the study was to determine the effect of academic enthusiasm on academic hope with the mediating role of academic optimism in students. …”
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Contact plan design based on bi-directional particle swarm optimization in satellite network by Cuiqin DAI, Huang TANG, Linfeng GUO

“…Aiming at the problems of time-varying topology,intermittent connection,and constrained resource in satellite network,a contact plan design (CPD) scheme based on bi-directional particle optimization (BPSO) algorithm was proposed.Firstly,the task-based time-expanded graph (TEG) model was constructed through the analysis of resource-constrained time-varying satellite network.Next,available contact plan (CP) in satellite network were generated through initialization,coding and repairing by considering the discreteness of network topology and the limitation of node resources.Then,an evaluation function was designed according to the characteristics of the execution task to distinguish whether the generated available CP was good or bad.Finally,the bits to be corrected in the worst location were determined according to the sparse characteristics of links in CP,and the CP was continuously modified by the proposed BPSO algorithm to optimize the performance of spatial data transmission.The simulation results show that the proposed BPSO-based CPD scheme can effectively reduce the task delivery time and increase the task arrival rate.…”
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Open energy services: forecasting and optimization as a service for energy management applications at scale by David Wölfle, Kevin Förderer, Tobias Riedel, Natascha Fernengel, Lukas Landwich, Ralf Mikut, Veit Hagenmeyer, Hartmut Schmeck

“…This article aims at facilitating the widespread application of Energy Management Systems (EMSs), especially in buildings and cities, in order to support the realization of future carbon-neutral energy systems. …”
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Cooperative UAV Scheduling for Power Grid Deicing Using Fuzzy Learning and Evolutionary Optimization by Yu-Jun Zheng, Zhi-Yuan Zhang, Jia-Yu Yan, Wei-Guo Sheng

“…Uncertain outage risk, collapse risk, and deicing workload of each power line are modeled as fuzzy values predicted by fuzzy deep learning models, and we transform the fuzzy optimization problem into a crisp optimization problem based on fuzzy arithmetics and uncertain theory. …”
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Optimization of polymer stake geometry by fea to enhance the retention force of automotive door panels by R. Martínez-Hinojosa, J.E. Garcia-Herrera, I.E. Garduño, H. Arcos-Gutiérrez, M.G. Navarro-Rojero, V.H. Mercado-Lemus, J.A. Betancourt Cantera

“…This study focused on optimizing retention geometries for automotive interior door panel assemblies using ultrasonic welding, a preferred technique due to its strength and clean aesthetic appearance. …”
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Robot path planning based on obstacle avoidance optimization and improved ant colony algorithm by HE Xingshi, CHEN Huiyuan

“…Aimed at the problems of slow convergence speed and redundant planning paths in the processing of path planning by ant colony algorithm, an improved ant colony algorithm based on obstacle avoidance information and fast optimization search strategy was proposed. …”
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Optimizing Instruction Scheduling and Register Allocation for Register-File-Connected Clustered VLIW Architectures by Haijing Tang, Xu Yang, Siye Wang, Yanjun Zhang

“…These techniques aim at optimizing performance and energy consumption for Lily architecture, through appropriate manipulation of the code generation process to maintain a better management of the accesses to the global register file. …”
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Optimal Gas Fee Minimization in DeFi: Enhancing Efficiency and Security on the Ethereum Blockchain by Heesang Kim, Dohoon Kim

“…This study presents a comprehensive framework for optimizing gas fees in decentralized finance (DeFi) pools on the Ethereum blockchain, aimed at enhancing both transaction efficiency and security. …”
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A Systematic Literature Review of Optimization Methods in Skeleton-Based Human Action Recognition by Jen-Li Chung, Lee-Yeng Ong, Meng-Chew Leow

“…This study aims to provide the researchers with a better understanding of how optimization methods are integrated in recent HAR systems and serve as a reference for future studies on improving skeleton-based HAR.…”
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A Bi-Level Optimization Model for Flexible Capacity Allocation with Coordinated Planning and Operation by Xinyu Yin, Xiaoyan Bian, Qinran Zhu, Jinbin Zhao, Shunfu Lin, Kwok L. Lo

“…The aim is to optimize the annual total cost and flexibility of the system. …”
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A Simplistic Regression-Based Genetic Algorithm Optimization of Tool-Work Interface Temperature by Utkarsh ., Saumya KUMAR, Saaransh KUMAR, G. Uday KIRAN, Arkadeb MUKHOPADHYAY, Manik BARMAN

“…This work aims to investigate the average tool-work interface temperature for the HSS tool and AISI 1040 steel pair. …”
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Numerical optimization of water tube boiler energy recovery using a new economizer by Abbas Behzadi, Ali Akbar Abbasian Arani, Ali Arefmanesh

“…The aim of this research is to recommend a numerical model for investigation on the flue gases heat recovery economizer. …”
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Optimization of the Imaged cIEF Method for Monitoring the Charge Heterogeneity of Antibody-Maytansine Conjugate by Ayat Abbood

“…In addition to focusing time, sample composition was optimized: pH range, percent of carrier ampholytes, conjugated antibody concentration, and urea concentration. …”
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Design of Rotors in Centrifugal Pumps Using the Topology Optimization Method and Parallel Computing in the Cloud by Xavier Andrés Arcentales, Danilo Andrés Arcentales, Wilfredo Montealegre

“…Designing flow machines is challenging due to numerous free geometrical parameters. This work aims to develop a parallelized computational algorithm in MATLAB version R2020a to design the rotor of a radial flow in a centrifugal pump using the finite-element method (FEM), topology optimization method (TOM), and parallel cloud computing (bare-metal vs. virtual machine). …”
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Joint Optimization Algorithm for UAV-Assisted Caching and Charging Based on Wireless Energy Harvesting by Yumeng Zhu, Qi Zhu

“…The proposed algorithm considers the revenue generated from UAVs providing caching and charging services to users, as well as the cost associated with leasing cache files and the UAV energy consumption. The optimization problem aimed at maximizing UAV utility is established under constraints related to power and cache capacity. …”
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An Inverse Modeling Multi-Objective Optimization Technique Based on Incremental Learning and Fuzzy Clustering by Gadallah Mohamed Abd Elaziz, Yasmine Abouelseoud, Sara H. Kamel

“…Sampling in the objective space is advantageous over sampling in the decision space as it allows selecting promising areas worthy to explore. This paper aims to develop an inverse modeling MOEA based on decomposition that employs an incremental learning-based support vector regression (SVR) model, as an alternative to the Gaussian process model, in order to improve the quality of obtained solutions and speed up convergence of the algorithm. …”
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Optimization and Control Method for Adjustable Load Under Distributed Transactions Considering Security Verification by Xinyao Zhang, Xiaoyi Qian, Wenyao Sun, Yi Zhao

“…Finally, the impact of rapidly changing market conditions, distributed new energy, and uncertainty in actual electricity output on user optimization scheduling was emphasized, and a user optimization scheduling model was established to achieve low‐cost control. …”
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Optimizing Carding Speed Parameters and C-60 RSB Draft to Improve Sliver Quality by Addisu Temesgen Alamirew, Getnet Belay Tesema

“…The optimization of settings of spinning machinery is one of the technically most urgent tasks when it comes to achieving the best possible raw material utilization for a high-quality yarn. …”
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Optimizing surfactin yield in Bacillus velezensis BN to enhance biocontrol efficacy and rhizosphere colonization by Tongshu Liu, Yanli Zheng, Litao Wang, Xu Wang, Haiyan Wang, Yongqiang Tian

“…However, the practical application of surfactin is currently limited by its low yield in natural strains.MethodsThis study aimed to optimize the culture conditions for Bacillus velezensis BN, a strain with exceptional biocontrol properties, to enhance its surfactin yield. …”
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Utilizing the Novel Developed MLP Techniques to Survey Pile Subsidence via Optimization Algorithms by Augustinus Sieck, Graciela Daniels

“…The Artificial Neural Network, as a widespread method, has absorbed attention to draw the actual picture of pile movement vertically during the loading period. This research aims to develop the Multilayer Perceptron coupled with the Novel Arithmetic Optimization Algorithm and Biogeography-Based Optimization) to find out the optimal number of hidden layers of neurons within MLP. …”
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