Influence of Dietary Phosphorus on the Growth, Feed Utilization, Proximate Composition, Intestinal Enzymes, and Oxidation Resistance of Sea Cucumber Apostichopus japonicus by Zhidong Song, Peiyu Li, Shunxin Hu, Caili Liu, Tiantian Hao, Xiaozhao Han

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Process Optimization for Madhuca indica Seed Kernel Oil Extraction and Evaluation of its Potential for Biodiesel Production by S. Sudalai, S. Prabakaran, M. G. Devanesan and A. Arumugam

“…The experiments were designed following the Central Composite model. The regression model provided optimal values for the selected process parameters based on the extraction yield percentage. …”
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Optimizing Boride Coating Thickness on Steel Surfaces Through Machine Learning: Development, Validation, and Experimental Insights by Selim Demirci, Durmuş Özkan Şahin, Sercan Demirci, Armağan Gümüş, Mehmet Masum Tünçay

“…In this study, a comprehensive machine learning (ML) model was developed to predict and optimize boride coating thickness on steel surfaces based on boriding parameters such as temperature, time, boriding media, method, and alloy composition. …”
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Research on Acoustic and Parametric Coupling of Single-Layer Porous Plate–Lightweight Glass Wool Composite Structure Doors for Pure Electric Vehicles by Jintao Su, Xue Li, Haibiao Yang, Ti Wu

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Synthesis of Poly(AN-co-VP)/Zeolite Composite and Its Application for the Removal of Brilliant Green by Adsorption Process: Kinetics, Isotherms, and Experimental Design by Mehtap Tanyol, Nevroz Kavak, Gülben Torğut

“…Response surface methodology (RSM), which was improved by the application of the quadratic model associated with the central composite design, was employed for the optimization of the study conditions such as adsorbent mass, time, and initial dye concentration. …”
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RIME optimization with dynamic multi-dimensional random mechanism and Nelder–Mead simplex for photovoltaic parameter estimation by Yuanping Zheng, Fangjun Kuang, Ali Asghar Heidari, Lipei Yuan, Siyang Zhang, Huiling Chen

“…The source code of DNMRIME is available at https://github.com/zyetpink/DNMRIME-Solar-Model-dataset .…”
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Optimal design of high‐performance rare‐earth‐free wrought magnesium alloys using machine learning by Shaojie Li, Zaixing Dong, Jianfeng Jin, Hucheng Pan, Zongqing Hu, Rui Hou, Gaowu Qin

“…The ML algorithms, including support vector machine regression (SVR), artificial neural network, and other three methods, are employed, and the SVR has the best performance in predicting mechanical properties based on the components, and process parameters, with the mean absolute percentage error of YS, UTS, and EL being 6.34%, 4.19%, and 13.64% in the test set, respectively. The SVR model combined with multi‐objective genetic algorithm are successfully used to optimize mechanical properties of four extruded alloys from Mg‐Ca, Mg‐Ca‐Zn, Mg‐Ca‐Mn‐Sn, and Mg‐Ca‐Al‐Zn‐Mn series alloys, respectively, and the corresponding experimental results are in good agreement with the designed ones. …”
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Optimization of clayey soil parameters with aeolian sand through response surface methodology and a desirability function by Ghania Boukhatem, Messaouda Bencheikh, Mohammed Benzerara, Mehmet Serkan Kırgız, N. Nagaprasad, Krishnaraj Ramaswamy, Souhila Rehab-Bekkouche, R. Shanmugam

“…These tests include the methylene blue test (MBV), the determination of Atterberg limits (LL, PL, PI), compaction characteristics (MDD and OMC), direct shear testing (C and ϕ), and oedometer tests (Cc and Cs). Furthermore, an optimization approach based on response surface methodology (RSM) and a central composite design (CCD) is implemented to determine the optimal mixture composition and accurately predict the evolution of the geotechnical properties of the soil. …”
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Improving the heterotrophic media of three Chlorella vulgaris mutants toward optimal color, biomass and protein productivity by Mafalda Trovão, Miguel Cunha, Gonçalo Espírito Santo, Humberto Pedroso, Ana Reis, Ana Barros, Nádia Correia, Lisa Schüler, Monya Costa, Sara Ferreira, Helena Cardoso, Márcia Ventura, João Varela, Joana Silva, Filomena Freitas, Hugo Pereira

“…Screening assays were carried out to select the most significant factors, and different nutrient concentrations were optimized by modelling biomass and protein productivity, specific growth rate, and color, via response surface methodology. …”
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Optimizing Virtual Power Plants Cooperation via Evolutionary Game Theory: The Role of Reward–Punishment Mechanisms by Lefeng Cheng, Pengrong Huang, Mengya Zhang, Kun Wang, Kuozhen Zhang, Tao Zou, Wentian Lu

“…Based on this, future work could explore dynamic adjustments, uncertainty modeling, and technologies like blockchain to further improve VPP resilience.…”
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Preparation of slow-release fertilizer derived from rice husk silica, hydroxypropyl methylcellulose, polyvinyl alcohol and paper composite coated urea by Idayatu Dere, Daniel T. Gungula, Semiu A. Kareem, Fartisincha Peingurta Andrew, Abdullahi M. Saddiq, Vadlya T. Tame, Haruna M. Kefas, David O. Patrick, Japari I. Joseph

“…SRF2 demonstrated optimal nutrient release after 48 h. The release kinetics followed the first-order kinetic model for both SRF1 and SRF2, highlighting their potential as effective slow-release fertilizers.…”
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Strategic optimization of engine performance and emissions with bio-hydrogenated diesel and biodiesel: A RVEA-GRNNs framework by Niti Klinkaew, Attasit Wiangkham, Atthaphon Ariyarit, Prasert Aengchuan, Anupap Pumpuang, Sarunporn Sripratum, Atthaphon Maneedaeng, Jiraphon Srisertpol, Ekarong Sukjit

“…Using a single-cylinder diesel engine from POLAWAT ENGINE Company Limited, we evaluated different bio-hydrogenated diesel and biodiesel blends, optimizing their composition through the Reference Vector Guided Evolutionary Algorithm with a surrogate objective function via Generalized Regression Neural Networks. …”
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Optimization and Multimachine Learning Algorithms to Predict Nanometal Surface Area Transfer Parameters for Gold and Silver Nanoparticles by Steven M. E. Demers, Christopher Sobecki, Larry Deschaine

“…However, the expansion and testing of this model for nanoparticles of different metal composition is needed to develop a greater variety of nanosensors for medical and commercial applications. …”
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Rapid quantification of whole seed fatty acid amount, composition, and shape phenotypes from diverse oilseed species with large differences in seed size by Matthew G. Garneau, Prasad Parchuri, Nora Zander, Philip D. Bates

“…Results High-throughput direct whole seed FAME production methods were optimized for seeds up to 5 mg each utilizing acid-catalyzed esterification. …”
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Renewable diesel for road transport: evaporation modelling by R.V. Kolodnytska

“…The evaporation of renewable fuel droplets will depend on the composition of that fuel, so it is important to know the composition of the renewable fuel to modelling the evaporation process.…”
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An ultrasonic-AI hybrid approach for predicting void defects in concrete-filled steel tubes via enhanced XGBoost with Bayesian optimization by Shuai Wan, Shipan Li, Zheng Chen, Yunchao Tang

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A deep learning strategy for accurate identification of purebred and hybrid pigs across SNP chips by Zipeng Zhang, Zhengwen Fang, Yongwang Du, Yilin He, Changsong Qian, Weijian Ye, Ning Zhang, Jianan Zhang, Xiangdong Ding

“…In this study, we presented a Multi-Layer Perceptron (MLP) model with multi-output regression framework specifically designed for genomic breed composition prediction of purebred and hybrid in pigs. …”
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Novel machine learning driven design strategy for high strength Zn Alloys optimization with multiple constraints by Chenfeng Pan, Wenwen Lin, Jianxing Zhou, Wei Jian, Ka Chun Chan, Yuk Lun Chan, Lu Ren

“…Interpretability analysis of the models was performed using the SHAP method with particle swarm optimization (PSO). …”
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Optimization of wheat straw ash for cement replacement in concrete using response surface methodology for enhanced sustainability by Y H Sudeep, M S Ujwal, Raghavendra Mahesh, G. Shiva Kumar, A Vinay, H. K. Ramaraju

“…Using response surface methodology (RSM) combined with central composite design, this study optimized mix designs and developed predictive models for key performance indicators, including workability and mechanical properties of concrete. …”
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STRUCTURE ANALYSIS AND MULTI-OBJECTIVE OPTIMIZATION DESIGN OF A DEWATERING BUCKET FOR A PULSATOR WASHING MACHINE by CAI Yun, PENG Liang, LIU Xue, CHENG ZhiWen

“…Goodness of fit evaluated the fit of the response surface model to experiment data and assessed optimization parameters,then obtained the optimal solution.. …”
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