Optimization of Relay Node Deployment in Wireless Sensor Communication Networks Based on IGA-RNDP Algorithm by Shubo Xu, Cheng Zhong

“…The statistically significant differences existed between the research method and other algorithms.…”
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Minding the margins: Evaluating the impact of COVID-19 among Latinx and Black communities with optimal qualitative serological assessment tools. by Raquel A Binder, Angela M Matta, Catherine S Forconi, Cliff I Oduor, Prajakta Bedekar, Paul N Patrone, Anthony J Kearsley, Boaz Odwar, Jennifer Batista, Sarah N Forrester, Heidi K Leftwich, Lisa A Cavacini, Ann M Moormann

“…To reveal the impact of COVID-19 and vaccine uptake among diverse communities and to develop rigorous serological downstream evaluation methods, we engaged racial and ethnic minorities in Massachusetts in a cross-sectional study (April-July 2022), screened blood and saliva for SARS-CoV-2 and human endemic coronavirus (hCoV) antibodies by bead-based multiplex assay and point-of-care (POC) test and developed across-plate normalization and classification boundary methods for optimal qualitative serological assessments. …”
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Optimization of extraction process and activity of protoilludane sesqui-terpene aryl esters from Floccularia luteovirens by ZHANG Xin, ZHU Qingyong, XU Huimin, WU Mengyuan, CHEN Xiao’e, CHEN Qihe, LIU Zhengjie

“…In this study, the effects of different methods on the extraction of protoilludane sesquiterpene aryl esters from Floccularia luteovirens were studied. …”
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Optimizing imputation strategies for mass spectrometry-based proteomics considering intensity and missing value rates by Yuming Shi, Huan Zhong, Jason C. Rogalski, Leonard J. Foster

“…Assuming the causes of MVs could be different in different regions, we then investigated the optimal imputation method in each bin, using normalized root mean square error (NRMSE), and found that the optimal imputation method varies across bins. …”
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Overlapping community-based fair influence maximization under a multi-transformation optimization algorithm by Chunfeng Jiang, Zegang Niu, Jingru Qu, Yulan Zhao, Amin Rezaeipanah

“…Despite its importance, optimizing FIM objectives is computationally challenging, and existing methods often neglect the overlapping nature of community structures. …”
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FixedSum: A Novel Algorithm for Generating Weight Vectors in Decomposition-Based Multiobjective Optimization by Syed Zaffar Qasim, Muhammad Ali Ismail

“…Recently, some studies about the development of decomposition-based multiobjective evolutionary algorithms have adopted different methods for generating weight vectors. However, these WVs are often clustered, either near the boundary or in inner regions of the search space. …”
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Evaluation of Interpolation Effects on Upsampling and Accuracy of Cost Functions-Based Optimized Automatic Image Registration by Amir Pasha Mahmoudzadeh, Nasser H. Kashou

“…Afterwards, the low resolution datasets were upsampled using different interpolation methods, and they were then compared to the high resolution data. …”
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Optimization of Surgical Procedure and Efficacy Evaluation of Aortic Calcification Model in Rats with Chronic Kidney Disease by PAN Yicong, JIANG Wenhong, HU Ming, QIN Xiao

“…Objective To establish a chronic kidney disease-associated aortic calcification model in SD rats using different nephrectomy surgical methods, and to compare and evaluate surgical duration and survival time to explore a more optimized modeling method. …”
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Analysis of Turnout Rails Characteristic Section Wear Based on Spatial Alignments Optimization of Guide Curves by LONG Jianbing, XU Hong, ZHANG Bin

“…［Objective］ In order to explore the optimization method of the spatial alignment for the turnout guide curve and the performance of different alignments after optimization, as well as the influence of different alignments on the rail wear characteristic section in the turnout area, it is necessary to study the wear laws of each characteristic section of the turnout rail under different alignment conditions. …”
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Short-term Optimal Scheduling Model for Hydropower Stations Considering Peak Shaving of Local and HVDC Receiving Power Grids by ZHOU Binbin, ZHANG Congtong, LIU Benxi, CHENG Chuntian, CHEN Kai, WANG Youxiang

“…In the face of the increasingly severe peak shaving pressure on both sending and receiving power grids of the high voltage direct current (HVDC) of large-scale hydropower stations,a short-term optimal scheduling model that takes into account peak shaving of local and HVDC receiving power grids of the cascade hydropower stations has been established.The model aims to minimize the maximum value of residual load in multiple power grids,not only considering the conventional hydraulic and power constraints of the cascade hydropower stations and the complex operation constraints of the HVDC transmission lines but also introducing coupled operation constraints between the HVDC transmission line and the hydropower stations.In the model-solving phase,the original model is transformed into a mixed-integer linear programming model by introducing auxiliary variables to linearize the objective function,hydraulic operation constraints,and HVDC operation constraints and using the big M method to linearize the bi-directional interval coupled constraints between the HVDC transmission line and the hydropower stations.Typical winter and summer days in a large-scale hydropower system in southwestern China are taken as examples,and the results show that the peak-valley difference of the sending power grid has decreased by up to 100%,while the decrease in the peak-valley difference in the receiving end power grid is 28.1% and 31.6%,respectively.It shows that the proposed model can share the flexibility of hydropower through HVDC transmission lines,achieve peak shaving in multiple power grids,and ensure safe operation of the HVDC transmission lines,which can provide a reference for short-term multi-grid peak shaving of large-scale cascade hydropower stations.…”
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Optimal Scheduling of Electric Vehicles for Peak Load Regulation: A Multi-Time Scale Approach with Comprehensive Evaluation and Feedback by Fei Xue, Wei Xiong, Jiahao Chen, Yonghai Yi, Zehui Liu, Jun Zeng, Junfeng Liu

“…The innovation of this paper lies in the addition of an evaluation and feedback loop to the multi-time-scale scheduling optimization method for EVs participating in peak shaving, which fully utilizes the scheduling potential of EV clusters and mitigates the impact of uncertainties associated with EV clusters. …”
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Coverage intensity of optimal sensors for common, isolated, and integrated steel structures using novel approach of FEM-MAC-TTFD by Mehdi Firoozbakht, Hamidreza Vosoughifar, Alireza Ghari Ghoran

“…The geometric configuration of sensors must be optimized based on coverage intensity with proper objectives. …”
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Dynamic Optimization of Bus Line Schedule in Commuter Corridor Based on Bus IC Card Data by Zhihong Li, Han Xu, Shiyao Qiu, Jun Liu, Kairan Yang, Jiahao Wu

“…To solve the model, a dynamic departure interval optimization method based on improved Genetic Algorithm (GA) was designed under different decision preferences. …”
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State of Health Estimation for Lithium-Ion Batteries Using an Explainable XGBoost Model with Parameter Optimization by Zhenghao Xiao, Bo Jiang, Jiangong Zhu, Xuezhe Wei, Haifeng Dai

“…Then, a SOH estimation method based on the XGBoost algorithm is established, and the model’s hyper-parameters are tuned using the Bayesian optimization algorithm (BOA) to enhance the adaptiveness of the proposed estimation model. …”
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Hybrid transformer and convolution iteratively optimized pyramid network for brain large deformation image registration by Xinxin Cui, Yuee Zhou, Caihong Wei, Guodong Suo, Fengqing Jin, Jianlan Yang

“…Secondly, the Swin-Transformer module is combined with the convolution iterative strategy, and each layer of the decoder is carefully designed according to the semantic information characteristics of different decoding layers. Extensive experimental results on three public brain magnetic resonance imaging datasets show that our method has the highest registration accuracy compared with 9 cutting-edge registration methods, which fully verifies the effectiveness and application potential of our model design.…”
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Reducing the Frame Vibration of Delta Robot in Pick and Place Application: An Acceleration Profile Optimization Approach by Hongtai Cheng, Wei Li

“…A surrogate model-based optimization method is proposed to solve the practical issues. …”
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Self-optimization of Wind Turbine Variable-pitch Control Parameters Based on Adaptive Genetic Algorithm by CHANG Sheng, WAN Yubin, JIANG Tao

“…The author first described the basic principle of variable-pitch control system; then based on the genetic algorithm, planned and designed constraint conditions for different wind turbine models, covering initial population selection, self-optimization algorithm constraints and adaptability function design; and finally compared and analyzed the response curve, simulation and field operation results of the traditional parameter tuning method and self-optimization parameter tuning method. …”
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Optimization of dye effluent decolorization by halotolerant Halomonas strain D2 in static culture condition by Ali Partovinia, Maryam Otadi, Amirhossein Alaedini

“…Toluidine Red is a pigment containing azo groups, which is invasively used in different industries. There are several chemical, physical, biological, optical, and combinational methods for different pollutant removal from the environment. …”
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Delivering Optimal Care to People with Cognitive Impairment in Parkinson’s Disease: A Qualitative Study of Patient, Caregiver, and Professional Perspectives by Jennifer S. Pigott, Nathan Davies, Elizabeth Chesterman, Joy Read, Danielle Nimmons, Kate Walters, Megan Armstrong, Anette Schrag

“…Cognitive impairment in PD manifests differently to other dementia pathologies. Provision of optimal care requires knowledge about the support needs of this population. …”
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Operational Optimization for a Regional Multi-Energy System Considering Thermal Quasi-Dynamic Characteristics by Xingying Chen, Le Bu, Cheng Chen, Lei Gan, Kun Yu

“…By comparing the operating results of different adjustment methods, a quality adjustment method is found to have the most flexibility for regional heating system control. …”
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