Effects and formula optimization of Rosa roxbunghii pomace substrate on the yield and volatile flavor compounds of Lentinulaedodes by Tingfei Deng, Tingfei Deng, Liangqun Li, Liangqun Li, Chunyan Li, Chunyan Li, Yanfang Yan, Yanfang Yan, Anqin Gao, Xiaolan Liu, Xiaolan Liu, Xiong Pan, Xiong Pan, Ming Gao, Ming Gao, Lijuan Ge, Lijuan Ge, Mei Peng, Mei Peng, Zhongsheng Luo, Zhongsheng Luo, Yan Tian, Juan Yang, Juan Yang, Xiaosheng Yang, Xiaosheng Yang

“…PCA results further confirmed that the volatile flavor substances of Formula 2 were significantly different from those of the control group.DiscussionThese findings demonstrate that incorporating RRP into mushroom cultivation substrates can enhance both yield and flavor characteristics of L. edodes. The optimal formulation (30% RRP) not only supported maximum productivity but also contributed to a more desirable aroma profile. …”
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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. Methods According to different surgical methods, the SD rats were divided into four groups: Group A: intraperitoneal resection of 2/3 of the left kidney followed by right total nephrectomy in the second stage; Group B: intraperitoneal resection of 2/3 of the left kidney and simultaneous right total nephrectomy; Group C: dorsal approach right total nephrectomy followed by resection of 2/3 of the left kidney in the second stage; Group D: dorsal approach resection of 2/3 of the left kidney followed by right total nephrectomy in the second stage. …”
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Optimization Layout of Coal Production Capacity and Reserve Capacity in China under the "Dual Carbon" Target by REN Shihua, XIE Yachen, JIAO Xiaomiao, Zheng Dezhi, Zhang Yaning

“…This has created an even more urgent need for an optimized layout of coal production capacity. …”
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Research on Stacking Distribution of Steel Plates Input Based on Improved Multi-objective Particle Swarm Optimization by ZHONG Chuanjie, CHENG Wenming, DU Run, GAO Xuchao, ZHANG Lin

“…Compared to the traditional stacking method used before optimization, the optimized stacking distribution scheme improved by 19.35%, 4.97%, and 62.23% under the three objectives, respectively, indicating a more significant optimization effect.ConclusionsBased on the actual demand of enterprises for optimizing automatic steel plate warehouse loading decisions, the PCDMOPSO algorithm has demonstrated good performance in the simulation test of solving the stack allocation model. …”
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A PROBLEM OF CUTTING OFF THE LAMINATED SEMIS TYPE PLATE by Florin Ciofu

“…With this purpose there are algorithms of optimizing for positioning the parts following to be cut off from a row plate. …”
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Evaluating Microgrid Investments: Introducing the MPIR Index for Economic and Environmental Synergy by Agis M. Papadopoulos, Maria Symeonidou

“…In view of the increasing environmental challenges and the growing demand for sustainable energy solutions, the optimization of microgrid systems with regard to economic efficiency and environmental compatibility is becoming ever more important. …”
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Wavelet Decomposition-Based AVOA-DELM Model for Prediction of Monthly Runoff Time Series and Its Applications by ZHANG Yajie

“…For the improvement in prediction accuracy of monthly runoff time series,a prediction model is proposed,which combines the wavelet decomposition (WD),African vultures optimization algorithm (AVOA),and deep extreme learning machine (DELM),and it is applied to the monthly runoff prediction of Yale Hydrological Station in Yunnan Province.Specifically,WD decomposes the time-series data of monthly runoff to obtain highly regular subsequence components,and AVOA is employed to optimize the number of neurons in the hidden layers of DELM;then,the WD-AVOA-DELM model is built to predict each subsequence component,and the prediction results are summated and reconstructed to produce the final prediction results of monthly runoff.Meanwhile,models based on the support vector machine (SVM) and BP neural networks are constructed for comparative analysis,including WD-AVOA-SVM,WD-AVOA-BP,AVOA-DELM,AVOA-SVM,and AVOA-BP models.The results reveal that the average absolute percentage error of the WD-AVOA-DELM model for the monthly runoff prediction of Yale Hydrological Station is 3.02%;the prediction error is far less than that of WD-STOA-SVM and WD-AVOA-BP models,and the prediction accuracy is more than one order of magnitude higher than that of AVOA-SVM,AVOA-SVM,and AVOA-BP models.The result indicates that the proposed model has good prediction performance.In this model,WD can scientifically reduce the complexity of runoff series and raise the prediction accuracy;AVOA can effectively optimize the key parameters of DELM and improve the performance of DELM networks.…”
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KAFA-Merge: Model Merging Method With Layer-Based Bayes+Linear Search by Muzaffer Kaan Yuce, Mehmet Fatih Amasyali

“…Therefore, in the second stage, we perform Linear Search by applying controlled variations around the ratios obtained with Bayesian optimization and obtain more precise, locally optimized results. …”
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Enhancing Adaptive Spectrum Access: An Intelligent Reflecting Surface Assisted CRN for Future Wireless Communication by Vishwas Srivastava, Binod Prasad

“…Cognitive radio (CR) has emerged as a transformative solution, enabling more efficient spectrum utilization through adaptive spectrum access mode (ASAM). …”
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Healthcare Prediction Using Novel Machine Learning Methods and Metaheuristic Algorithm by Yazdan Ashgevari, Behrouz Alefy, Faranak Kazemi

“…To improve the accuracy of the findings derived from the models, two optimizers Smell Agent Optimization (SAO) and Crocodile Hunting Strategy (CHS) used in combination with two models, SVC, ETC. …”
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A Comparative Analysis of Advanced Routing and Cluster Head Selection Algorithm Using Lagrange Interpolation by Zoren P. Mabunga, Jennifer C. Dela Cruz, Renato R. Maaliw

“…This paper presents a unified performance metric for evaluating the chronological wild geese optimization (CWGO) algorithm in wireless sensor networks (WSNs). …”
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Binary Particle Swarm Optimization with Manta Ray Foraging Learning Strategies for High-Dimensional Feature Selection by Jianhua Liu, Yuxiang Chen, Shanglong Li

“…Chain learning allows particles to learn from each other and share information more effectively in order to improve the social learning ability of the population. …”
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3D spatial evolutionary particle swarm algorithm based emergency communication spatial deployment optimization by Yumin Chen, Xicheng Tan, Jinguang Jiang, Xiaoliang Meng, Zeenat Khadim Hussain, Jianguang Tu, Huaming Wang, You Wan, Zongyao Sha

“…This paper proposes an ANET nodes spatial optimization deployment algorithm based on 3D Spatial Evolutionary Particle Swarm Optimization (3DSEPSO). …”
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Multi-objective optimization of daylighting performance and solar radiation for building geometry using a hybrid evolutionary algorithm by Shaoyang Lou, Xiaojun Luo, Zhonggou Chen, Zhiji Gao, Ruida Wang, Linjin Feng, Guoyi Zhang, Yanfei Zhang, Ye Zhao, Bei Li

“…When compared to the reference building, the optimized design enables the building to achieve a more balanced solar radiation distribution across different seasons, resulting in a 26.89% improvement in performance. …”
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Enhanced multi-objective Evolutionary Mating Algorithm with improved crowding distance and Levy flight for optimizing comfort index and energy consumption in smart buildings by Muhammad Naim Bin Nordin, Mohd Herwan Sulaiman, Nor Farizan Zakaria, Zuriani Mustaffa

“…These enhancements enable MOEMA to effectively navigate complex multi-objective landscapes, leading to more diverse and well-converged Pareto-optimal solutions. …”
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Masked face image segmentation using a multilevel threshold with a hybrid fitness function by Nada AbdElFattah Ibrahim, Ehab R. Mohamed, Hanaa M. Hamza, Yousef S. Alsahafi, Khalid M. Hosny

“…Masked face segmentation tasks have become significantly more difficult due to the increasing use of face masks. …”
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Inter‐Regional Food‐Water‐Income Synergy Through Bi‐Level Crop Redistribution Model Coupled With Virtual Water: A Case Study of China’s Hetao Irrigation District by Jieling Yin, Xin Li, Bernie A. Engel, Jiayi Ding, Xin Xing, Shikun Sun, Yubao Wang

“…National benefits were improved, especially when considering synergistic optimization, although the net benefits of HID was affected. …”
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Denoising of electromagnetic data from different geological blocks using a hybrid PSO-GWO algorithm and CNN by Zhong-Yuan Liu, Zhong-Yuan Liu, Zhong-Yuan Liu, Di-Quan Li, Di-Quan Li, Di-Quan Li, Yecheng Liu, Yecheng Liu, Yecheng Liu, Xian Zhang, Xian Zhang, Xian Zhang

“…Simulation results demonstrate that the PSO-GWO-optimized CNN effectively handles complex, non-periodic noise, improving signal clarity and successfully reducing noise interference, thereby enhancing data quality and enabling more accurate geological interpretations. …”
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Afterpulse Effects in Mode-Pairing Quantum Key Distribution by LI Zhenhua, HAN Yanxin, DOU Tianqi, YAN Xu, HUA Xin, XIAO Xi, TANG Jianjun

“…However, as the frequency of QKD systems increases, the afterpulse effect in detectors becomes more pronounced, negatively affecting the system's security and robustness.…”
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Enhancing Energy Efficiency and Ethanol Conversion through the Addition of a Heat Exchanger and Reactor in the Catalytic Dehydration Process for Ethylene Production from Ethanol by Agita Ardelia Kinanti, Hasna Labibah Febrianti, Ni Putu Savitri Mandasari Dewi

“…Further process creation is needed to be able to optimize the ethylene production process which is more environmentally friendly, such as making ethylene with bioethanol as feed. …”
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