Modification of Medium Composition for Enhancing the Production of Antifungal Activity from Xenorhabdus stockiae PB09 by Using Response Surface Methodology by Chirayu Sa-uth, Paweena Rattanasena, Angsumarn Chandrapatya, Prapassorn Bussaman

“…To improve its efficacy, the optimization of the nutritional components in culture media was performed. …”
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Dual-Band Power Divider with Wide Suppression Band by Salman Karimi, Golshan Mohamadpour, Saeed Roshani

“…The weights of each neuron are obtained using particle swarm optimization algorithms. The proposed neural network model has accurate results, and the mean relative error of the train and test data for both outputs is <0.1 , which validates the accurate results of the proposed model. …”
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Research on Non-Probabilistic Reliability Partitioning Methods for Large Workspace Robots by Jianping Sun, Weian Yang, Xin Meng, Jun Peng, Zhaoping Tang

“…The method considers the differences in non-probabilistic reliability of robot end positions in different workspace ranges and uses KLFCM clustering combined with a genetic algorithm to perform a two-stage hierarchical partitioning optimization. The experimental results show that compared with the global compensation, the average values of the upper and lower limits of the x, y, and z direction error intervals of the partitioned compensation are reduced by 31.17%, 7.26%, 14.30%, 34.91%, 2.48%, and 35.82%, respectively, verifying that the method in this study can more accurately realize the partitioned categorization calibration and compensation of the robot, and effectively improve the reliability and spatial adaptability of parameter calibration and compensation of the robot in the full workspace domain. …”
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Modelling and Production of Injection Moulded Polyvinylchloride--Sawdust Composite by C.O. Aliyegbenoma, J.A. Apkobi, D.D. Olodu

“…The response surface methodology (RSM) was used to determine the effect of the interaction of temperature, material type and percentage by volume of material on the mechanical properties of the produced PVC-sawdust composite. The optimization results for PVC-Sawdust composite shows that the tensile strength, proof stress, flexural strength and flexural modulus were maximized with values of 43.70MPa, 48.38MPa, 61.41MPa and 3.42GPa respectively obtained at barrel temperature of 224.65oC and polymer level of 61.46% respectively while percentage elongation and average deflection were minimized with values of 65.43% and 4.23 cm respectively. …”
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Monitoring Environmental and Structural Parameters in Historical Masonry Buildings Using IoT LoRaWAN-Based Wireless Sensors by Noëlla Dolińska, Gabriela Wojciechowska, Łukasz Bednarz

“…Additionally, the findings suggest that managing temperature and humidity levels can optimize the building’s energy efficiency by reducing the need for additional heating or cooling. …”
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First-principles based data-driven strain engineering for ferroelectrics via active machine learning: A nonlinear piezoelectric constitutive equation by Susumu MINAMI, Yasuaki MARUYAMA, Yoshimasa ABE, Tomohiro NAKAYAMA, Takahiro SHIMADA

“…Strain engineering is a crucial approach in the engineering field to optimize various physical properties of materials by applying mechanical strain loading. …”
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Building Information Modeling (BIM) for Structural Engineering: A Bibliometric Analysis of the Literature by Tatjana Vilutiene, Diana Kalibatiene, M. Reza Hosseini, Eugenio Pellicer, Edmundas Kazimieras Zavadskas

“…Gaps and important areas for future research include modeling of structural components, automation of the assembly sequence, planning and optimization of off-site construction, and dynamic structural health monitoring.…”
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UB-LSTM: A Trajectory Prediction Method Combined with Vehicle Behavior Recognition by Haipeng Xiao, Chaoqun Wang, Zhixiong Li, Rendong Wang, Cao Bo, Miguel Angel Sotelo, Youchun Xu

“…The predicted trajectory is obviously optimized, closer to the actual trajectory, and the performance is more stable.…”
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Parameter Estimation of the Photovoltaic System Using Bald Eagle Search (BES) Algorithm by Ndongmo Fotsa Nicaire, Perabi Ngoffe Steve, Ndjakomo Essiane Salome, Abessolo Ondoua Grégroire

“…Hence, to extract these parameters reliably and accurately, this paper presents an optimization method based on the principle of bald eagle search (BES) during fish hunting. …”
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Can relaxation exercises improve students’ OSCE grades: a prospective study by Damien Massalou, Jérôme Doyen, Fabien Almairac, Pierre-Simon Rohrlich, Jean-Paul Fournier, Clair Vandersteen, Nirvana Sadaghianloo

“…The aim of our study was to improve medical students’ performance during OSCEs by using human performance optimization techniques (HPOT). Methods: Naïve students for OSCE were divided into blocks of five, randomized to HPOT and control groups. …”
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Rapid Identification of Saline–Alkali Stress-Tolerant Peanut Varieties Based on Multimodal Data by Fan Zhang, Longgang Zhao, Tingting Guo, Ziyang Wang, Peng Lou, Juan Li

“…Subsequently, a deep learning network called BO-MFFNet was built and its structure and hyperparameters were optimized by the Bayes optimization (BO) algorithm. …”
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Anti-paste Bag Performance of Water-repellent Filter Media in High-humidity Environments Considering Ultra-low Emissions by Zhongkai Yu, Erbao Guo, Xingcheng Liu, Yuemin Li

“…Through an orthogonal optimization test, the optimal water-repellent process parameters were determined. …”
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A Quality Control Method Based on an Improved Random Forest Algorithm for Surface Air Temperature Observations by Xiaoling Ye, Xing Yang, Xiong Xiong, Yunpei Shen, Man Hao, Rong Gu

“…The ARF method incorporates the optimization ability of the artificial fish swarm algorithm and the random forest regression function to provide quality control for multiple surface air temperature stations. …”
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Enhancing the Performance of Novel Archimedes Spiral Hydrokinetic Turbines Utilizing Blade Winglets in Deep-Sea Power Generation for Autonomous Underwater Vehicles by Ke Song, Huiting Huan, Liuchuang Wei, Chunxia Liu

“…This study provides valuable insights into the design and optimization of ASHTs for deep-sea power generation, thereby contributing to the advancement of sustainable energy solutions for AUVs.…”
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A Novel Segmentation Method for Furnace Flame Using Adaptive Color Model and Hybrid-Coded HLO by Pinggai Zhang, Minrui Fei, Ling Wang, Xian Wu, Chen Peng, Kai Chen

“…However, the combustion states inside the industrial furnace change according to the production needs, which further challenges the optimal set of model parameters. To effectively segment the flame pixels, a novel segmentation method for furnace flame using adaptive color model and hybrid-coded human learning optimization (AHcHLO) is proposed. …”
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Efficient State Estimation Through Rapid Topological Analysis Based on Spatiotemporal Graph Methodology by Zhen Dai, Shouyu Liang, Yachen Tang, Jun Tan, Guangyi Liu, Qinyu Feng, Xuanang Li

“…Based on the node-breaker graph model, topological error identification was conducted, and a fast topological analysis optimization algorithm, considering component functionality, was applied to update the bus-branch graph model, facilitating graph-based state estimation. …”
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In Situ Chemical Oxidation of Ultrasmall MoOx Nanoparticles in Suspensions by Yun-Ju Lee, Diego Barrera, Kaiyuan Luo, Julia W. P. Hsu

“…Such precise control of MoOx stoichiometry and work function is critical for the optimization of MoOx nanoparticles for applications in organic optoelectronics. …”
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Design of a Novel W-Sinker RF LDMOS by Xiangming Xu, Han Yu, Jingfeng Huang, Chun Wang, Wei Ji, Zhengliang Zhou, Ying Cai, Yong Wang, Pingliang Li, Peng-Fei Wang, David Wei Zhang

“…Combined with the adoption of the techniques, like grounded shield, step gate oxide, LDD optimization, and so forth, an advanced technology for RF LDMOS based on conventional 0.35 μm CMOS technology is well established. …”
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In Vitro Model of Vascular Remodeling Under Microfluidic Perfusion by Kotaro Nishikata, Kimisato Doi, Nobuyoshi Kaneoya, Masataka Nakamura, Nobuyuki Futai

“…We found that the optimization of the lumen network during the remodeling stage can be explained by the decrease in the betweenness centrality of the WSS-weighted network and the increase in the strength centrality of the flow-rate-weighted network.…”
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A systematic review of pathophysiological and psychosocial measures in adaptive sports and their implications for coaching practice by Junyan Liu, Hongjun Yu, W. Catherine Cheung, Adam Bleakney, Yih-Kuen Jan

“…These strategies include injury prevention, performance optimization, and management of muscle imbalance and altered musculoskeletal biomechanics. …”
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