Building a composition-microstructure-performance model for C–V–Cr–Mo wear-resistant steel via the thermodynamic calculations and machine learning synergy by Shuaiwu Tong, Shuaijun Zhang, Chong Chen, Tao Jiang, Peng Li, Shizhong Wei

“…These findings contribute to the development of a composition-microstructure-performance model for C–V–Cr–Mo wear-resistant steel, supporting the rapid design and performance optimization of multi-component alloy steels, with significant potential for industrial application.…”
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Mechanical and Thermal Behavior Analysis of Chicken Feather/Sesbania grandiflora Fibers-based Hybrid Epoxy Composites by Shankar Kannan Paramasivam, Muthukannan Marimuthu, Arun Sakthivel, Janani Rajasekar, Sivasubramanian Palanisamy, Kuwar Mausam, Aravindhan Alagarsamy, Quanjin Ma, Saleh A Al-Farraj

“…Process parameters were optimized using mathematical modeling, employing Analysis of Variance (ANOVA) and Response Surface Methodology (RSM). …”
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Omega 3 Blends of Sunflower and Flaxseed Oil—Modeling Chemical Quality and Sensory Acceptability by Ranko Romanić, Tanja Lužaić, Lato Pezo, Bojana Radić, Snežana Kravić

“…Principal component analysis (PCA) showed that the optimal fatty acid composition was achieved in the sample with 20% sunflower oil and 80% flaxseed oil (20S/80F). …”
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Theoretical, Experimental and Numerical Analysis of Behavior of Adhesive Bonded Joints Thin-Walled Aluminum-Composite Structures Under Axial Loading by Hamed Saeidi Googarchin, Reza Rahmani

“…It increased only 155.75% for aluminum and 22.99% for aluminum-composite. Among the selected cases, the optimal number of composite layers for locally reinforced aluminum-composite energy absorber is 4 layers and the optimal angle for internal reinforcement is [0,90].…”
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Construction of multifunctional composite networks and resilience evaluation under multiple attack scenarios: A case study of the Yangtze river delta by Jianshen Qu, Hao Wang, ZiWei Zhang, Zhili Xu, Yuexia Han, Bin Dong

“…This study integrates the gradient source model and circuit theory to optimize a multi-functional composite network linking ecological services, thermal environment diffusion, and economic interactions in the YRD. …”
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Benefits of specialist palliative care by identifying active ingredients of service composition, structure, and delivery model: A systematic review with meta-analysis and meta-regr... by Miriam J Johnson, Leah Rutterford, Anisha Sunny, Sophie Pask, Susanne de Wolf-Linder, Fliss E M Murtagh, Christina Ramsenthaler

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A fuzzy modeling framework for sustainable municipal solid waste collection by the mixed fleet by Mehmet Erdem, Akın Özdemir

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Expanding the frontiers of additive manufacturing: Higher microstructure identification through probability modeling by Muhammad Shoaib, Muhammad Idrees, Hakeem Ullah, Aasim Ullah Jan, Touqeer Ahmad, Ali Akgül, Magda Abd El-Rahman, Seham M. Al-Mekhlafi

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Bioelectrical impedance analysis of bone mineral content based on dual-energy X-ray absorptiometry: evaluation of age-stratified optimized models by YoungJin Moon, Zheng Dong, Sang Ki Lee, Hwi-yeol Yun, JuWon Song, Min Ju Shin, DuBin Im, JiaHao Xu, XuanRu Wang

“…The mean difference between the optimized BIA model and DXA was − 0.02 kg (p = 0.287), indicating negligible paired differences. …”
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Parametric LCA model for Ti6Al4V powder production by Christian Spreafico, Baris Ördek

“…Existing assessments often rely on static LCAs, offering limited optimization, or employ fragmented parametric models that do not capture full system interdependencies. …”
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Multi-objective optimization of corrosion resistance, strength, ductility properties of weathering steel utilizing interpretable attention-based deep learning model by Bingxiao Shi, Xin Guo, Luntao Wang, Wenbo Huang, Hong Luo, Lizhi Qin, Guowei Yang, Xuequn Cheng, Xiaogang Li

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Enhanced Short-Term PV Power Forecasting via a Hybrid Modified CEEMDAN-Jellyfish Search Optimized BiLSTM Model by Yanhui Liu, Jiulong Wang, Lingyun Song, Yicheng Liu, Liqun Shen

“…Subsequently, the fast Fourier transform and improved Pearson correlation coefficient (IPCC) were applied to identify and merge similar-frequency intrinsic mode functions, forming new composite components. Each reconstructed component was then forecasted individually using a BiLSTM model, whose parameters were optimized by the JS algorithm. …”
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Modeling and optimization of essential oils and extracts for meat quality evaluation during storage, with high-performance liquid chromatography analysis of aflatoxin levels by Sarah Alharthi, Sarah Alharthi, Rokayya Sami, Hilary Uguru, Ruqaiah I. Bedaiwi, Awatif M. Almehmadi, Suzan A. Abushal, Roqayah H. Kadi, Buthaina M. Aljehany, Eman A. Abduljawad, Abeer A. Aljehani, Sarah S. Aggad, Sarah A. Alasmari, Dalal A. Alkhudhayri, Fayez Alsulaimani, Fayez Alsulaimani, Ahmed M. Basri, Ahmed M. Basri

“…This research was focused on developing a suitable and optimizing model, for dried meat preservation (storability), through the application of natural essential oils and extracts. …”
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Optimization of delignification and mercerization processes for high-purity cellulose extraction from Semantan bamboo (Gigantochloa scortechinii) using Response Surface Modelling by Jameelah Alhadi Salih Othman, R.A. Ilyas, Abu Hassan Nordin, Norzita Ngadi, M.F.M. Alkbir, Victor Feizal Knight, Mohd Nor Faiz Norrrahim

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Advanced machine learning models for the prediction of ceramic tiles’ properties during the firing stage by V. Vasic, Milica, Awoyera, Paul O., Fadugba, Oladlu George, Barisic, Ivana, Nettinger Grubeša, Ivanka

“…Future work will focus on extending the dataset to include a wider variety of clay compositions and investigating hybrid modeling approaches to further improve predictive performance.…”
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Additive manufacturing of metal matrix composites by Mohan Sai Kiran Kumar Yadav Nartu, Priyanshi Agrawal

“…A detailed comparison of microstructural evolution and process parameter optimization, including feedstock preparation methods and the role of machine learning and modeling among the different AM processes, is also presented. …”
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Modeling and analysis of the effects of age hardening, magnesium dissolution, and SiC reinforcement on wear properties in eutectic Al-Si composites using full factorial techniques by Ashwin Shetty, Thirumaleshwara Bhat, Sathyashankara Sharma, Ravikantha Prabhu, Ananda Hegde, Nithesh K, Gajanan Anne

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Glutaraldehyde crosslinked chitosan-β-cyclodextrin/ZnO composite for the effective adsorption of Congo red anionic dye: A glimpse into adsorption performance and ANN modeling by Ruksana Sirach, Pragnesh N Dave

“…The effects of pH, contact time, temperature, initial CR concentration, and adsorbent dosage on CR removal were systematically investigated through isotherm, kinetic, and thermodynamic analyses. The composite demonstrated high adsorption efficiency, particularly at adsorbent dosages ≥30 mg, with optimal performance under acidic conditions due to its enhanced surface positivity. …”
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Identification and optimization of relevant factors for chronic kidney disease in abdominal obesity patients by machine learning methods: insights from NHANES 2005–2018 by Xiangling Deng, Lifei Ma, Pin Li, Mengyang He, Ruyue Jin, Yuandong Tao, Hualin Cao, Hengyu Gao, Wenquan Zhou, Kuan Lu, Xiaoye Chen, Wenchao Li, Huixia Zhou

“…Furthermore, an optimal predictive model was developed for CKD using ten machine learning algorithms and enhanced model interpretability with the Shapley Additive Explanations (SHAP) method. …”
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Estimation of phytoplankton community composition from satellite data using a fuzzy and probabilistic combination model in mountainous reservoirs: A case of Huating Lake in spring... by Yixuan Qiu, Zhongya Fan, Huiyun Feng, Yutao Wang, Dan Li, Wencai Wang, Ruting Huang, Jingang Jiang

“…The optimal model was selected based on validation results. …”
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