Micro-spring force sensors using conductive photosensitive resin fabricated via two-photon polymerization by Ningning Hu, Yucheng Deng, Lujia Ding, Lijun Men, Wenjun Zhang, Ruixue Yin

“…To accelerate parameter optimization, a support vector machine model was trained to predict polymerization outcomes based on laser conditions and material compositions, achieving a prediction accuracy of 92.66%. …”
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Formation of the structure, mechanical and service properties of heat-resistant titanium aluminide alloys for turbine blades by Olha Halienkova

“…Tasks of the work: to study the influence of modification on structure formation and mechanical properties during the smelting of intermetallic γ-alloys and to determine the most optimal complex composition,  to study the influence of the structure and phase composition of the experimental alloy on its service properties;  to determine the mechanical properties of experimental samples obtained using the serial technology scheme;  to study the possibilities of industrial production of turbine blades from the experimental alloy using calculations and modeling. …”
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A systematic review on machine learning-aided design of engineered biochar for soil and water contaminant removal by Yunpeng Ge, Kaiyang Ying, Guo Yu, Muhammad Ubaid Ali, Abubakr M. Idris, Abubakr M. Idris, Asfandyar Shahab, Habib Ullah, Habib Ullah

“…The paper emphasizes how ML models—such as Random Forest (RF) and Gradient Boosting Regression (GBR)—elucidate the nonlinear links between pyrolysis conditions (temperature, feedstock composition) and biochar performance. …”
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Integrated Metabolome and Microbiome Analysis Reveals the Regulatory Effects of Fermented Soybean Meal on the Gut Microbiota of Late Gestation by Yantao Li, Lele Fu, Yushi Chen, Hua Yang, Yingping Xiao, Ying Ren, Cheng Wang

“…In this study, an in vitro fermentation model combined with chemical composition analysis, untargeted metabolomics, and high-throughput sequencing was employed to investigate the metabolic alterations during soybean meal (SBM) fermentation and the regulatory effects of fermented soybean meal (FSBM) on gut microbiota of late-gestation sows. …”
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Development and Study of Antibacterial <i>In situ</i> Coatings for Processing Implants by E. O. Bakhrushina, A. A. Popova, M. V. Pomytkina, M. N. Anurova, N. B. Demina, I. I. Krasnyuk

“…As screening methods for identifying the optimal composition, we used gelation temperature measurements, pH measurements, studies of rheological properties, and microbiological tests.Results and discussion. …”
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An in silico framework for the rational design of vaginal probiotic therapy. by Christina Y Lee, Sina Bonakdar, Kelly B Arnold

“…Bacterial vaginosis (BV) is a common condition characterized by a shift in vaginal microbiome composition that is linked to negative reproductive outcomes and increased susceptibility to sexually transmitted infections. …”
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Effect of Whole Barley Tolokno on the Quality of Biscuits by Svetlana Yu. Misteneva, Natalia А. Shcherbakova, Nikolay B. Kondrat’ev

“…The study featured refined wheat flour, barley tolokno, composite flours, model suspensions, and formulations of biscuits. …”
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PRODUCTION OF SEMI-HARD CHEESES FROM A MIXTURE OF GOAT'S AND COW'S MILK by N. V. Romanova, E. V. Ivanova

“…Ivanova examines the problem of optimizing the production of semi-solid cheeses from a mixture of goat's and cow's milk. …”
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EFFECT SIGNIFICANCE ASSESSMENT OF THE THERMODYNAMICAL FACTORS ON THE SOLID OXIDE FUEL CELL OPERATION by V. A. Sednin, A. A. Chichko

“…These are the parameters to be considered on a first-priority basis while developing mathematical models for optimizing the solid oxide fuel cells operating modes.…”
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Quantitative prediction of optical static refractive index in complex oxides by Lan Yang, Xiao Zhou, Xudong Ni, Li Huang, Lianduan Zeng, Zhongyang Wang, Jun Song, Tongxiang Fan

“…Here, we present a robust predictive model that accurately forecasts the optical static refractive indices of complex oxides across diverse crystal structures and compositions. …”
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On material and energy sources of formation of fuel-containing materials during Chernobyl NPP UNIT 4 accident by O. V. Mikhailov

“…Material and energy balance are aggregated in a process model for optimal composition of sacrificial materials and FCM. …”
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On the corpus of speech samples with errors in the use of Russian as a foreign language: methods of data representation and deep markup parameters by S. V. Gusarenko, M. K. Gusarenko

“…The purpose of the study, the results of which are presented in the article, is to develop the optimal composition and method of presenting data in the developed corpus of Russian speech samples with errors made by foreign students. …”
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A rolling horizon approach for shunting operations – An emission oriented simulation study by Max Zien, Thomas Kirschstein

“…In this paper the effects of practically relevant sorting strategies on green house gas emissions are studied in a rolling horizon model. The rolling horizon model is used in a simulation study to investigate the effects of sorting strategies and input parameters (like the number and composition of ingoing and outgoing trains) on green house gas emissions. …”
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Evaluating and enhancing the service capacity of secondary public hospitals in urban China: a multi-method empirical analysis based on Guangzhou (2019–2023) by Baoling Wu, Baoling Wu, Wenbo Wu, Xi Wang, Weizhang Huang, Zhenni Luo, Jifeng Li

“…This study aims to systematically evaluate the evolution and spatial dynamics of service capacity among secondary general public hospitals in Guangzhou, offering empirical evidence to support capacity improvement and policy optimization.MethodsA composite evaluation framework was constructed across three dimensions: medical quality, operational efficiency, and sustainability. …”
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Small molecules enhance the high-efficiency generation of pancreatic ductal organoids by Liao Yuwei, Lin Zhifan, Li Siyu, Yin Xiaolei

“…This system provides an efficient model with potential applications in high-throughput drug screening. …”
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A Framework for Synergy Measurement Between Transportation and Production–Living–Ecological Space Using Volume-to-Capacity Ratio, Accessibility, and Coordination by Xiaoyi Ma, Mingmin Liu, Jingru Huang, Ruihua Hu, Hongjie He

“…By introducing an improved accessibility evaluation model and developing a coordination measurement algorithm, a three-dimensional evaluation mechanism covering development potential assessment, service efficiency diagnosis, and resource allocation optimization is established. …”
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Performance analysis of dual-fuel engines using acetylene and microalgae biodiesel: The role of fuel injection timing by M. Sonachalam, R. Jayaprakash, V. Manieniyan, P.S. Raghavendra Rao, G. Vinodhini, Manish Sharma, Teku Kalyani, Mahammadsalman Warimani, Hasan Sh Majdi, T.M. Yunus Khan, Abdul Saddique Shaik, Keerthi Shetty

“…The random forest model outperformed other machine learning models, demonstrating superior accuracy in predicting performance and emissions across all statistical measures. …”
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Prediction of Final Phosphorus Content of Steel in a Scrap-Based Electric Arc Furnace Using Artificial Neural Networks by Riadh Azzaz, Mohammad Jahazi, Samira Ebrahimi Kahou, Elmira Moosavi-Khoonsari

“…These results demonstrate that the optimized ANN model offers accurate predictions for the steel final phosphorus content.…”
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Comprehensive study on phase stability of lead-free Sn-based perovskite FAxMA1-xSnI3 by Zih-Lie Huang, Cheng-Hsien Yeh, Ming-Yao Wang, Vincent Wing-hei Lau, Hong-Kang Tian, Chuan-Feng Shih

“…This study addresses this by adjusting the ratio of formamidinium to methylammonium (FA/MA) in FAxMA1-xSnI3, experimentally finding optimal stability in phase composition and photoluminescence intensity at a ratio where x = 0.75. …”
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Predicting the Rheological Performance of Self-Compacting Mortar and Concrete Using Artificial Neural Network by Andreas Kounadis, Angelos Galatis, Agapoula Papakonstantinou, Efstratios Badogiannis

“…The model architecture was optimized through multiparametric analysis, testing around 22,000 models to achieve approximately 85% prediction accuracy. …”
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