Simulation of the process of cryogenic freezing of coriander seeds by N. V. Sterekhova, Z. A. Meretukov, S. Y. Gonezhuk, R. G. Shishova

“…To reduce losses associated with splitting coriander fruits, it has been proposed to carry out mathematical modeling of the process of cryogenic freezing with subsequent grinding of the frozen mass, which will significantly reduce losses of essential oil. …”
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Synthesis and application of MgCuAl-layered triple hydroxide/carboxylated carbon nanotubes/bentonite nanocomposite for the effective removal of lead from contaminated water by Usman M. Ismail, Ahmed I. Ibrahim, Sagheer A. Onaizi, Muhammad S. Vohra

“…Additionally, the machine learning (ML) and the ANN based models for lead removal using LTH/CNT-COOH/Bent nano-composite yielded good predictions.…”
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Predictive Analysis of Mechanical Properties in Cu-Ti Alloys: A Comprehensive Machine Learning Approach by Mihail Kolev

“…The dataset was divided into training, validation, and test sets, with a Random Forest Regressor model being trained and optimized using GridSearchCV. …”
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Thermoelastic Analysis of Compressor Spool in Turbojet Engine and Redesign it Using Functionally Graded Materials with Opti-mal Coefficients by Behrooz Shahriari, M. S. Sadeghinezhad, Shahram Yousefi

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Sensitivity Analysis of Fiber-Reinforced Lamina Micro-Electro-Mechanical Switches with Nonlinear Vibration Using a Higher Order Hamiltonian Approach by Ali Kabiri, Sadegh Sadeghzadeh

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Quorum quenching enzymes disrupt bacterial communication in a sex‐ and dose‐dependent manner by Aneesh Syal, Maria Martell, Rakesh Sikdar, Matthew Dietz, Zachary Ziegert, Cyrus Jahansouz, Mikael H. Elias, Christopher Staley

“…We hypothesized that QQ hinders signals from obesity‐associated pathobionts, thereby slowing or preventing obesity. Results In a murine model of diet‐induced obesity, we observed GcL and SsoPox treatments have separate sex‐dependent and dose‐dependent effects on intestinal community composition and diversity. …”
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Information Content Assessment of the Federal Budget and the Budget Process in the Russian Federation by O. V. Morozov, M. A. Vasiliev

“…Quantitative criteria are determined and a model for optimizing the composition of federal budget expenditures is presented. …”
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Lavender hydrosol analysis using UV spectroscopy data and partial least squares regression by Sára Preiner, Bálint Levente Tarcsay, Dóra Pethő, Norbert Miskolczi

“…After optimization the established PLS model showed an R2 score above 0.95 for the prediction of hydrosol composition changes during cross-validation. …”
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Tablets Development Based on Clover Meadow Grass Phytosubstance Using Design of the Experiment Method and QdD Tools by A. N. Golubev, Th. I. Nguen, V. V. Sorokin, I. E. Kauhova

“…Based on a mathematical model, the optimal composition of tablet mixture and tablets obtained from it was determined. …”
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微型汽车传动系统功率损失建模计算 by 莫易敏, 田蜜

“…Based on the analysis of composition and formation mechanism of each parts power loss of the mini car transmission system,the power loss mathematic model of the transmission system is established,then the simulation is carried out in Matlab/Simulink,at last,the model is verified by test data.The result shows that the model calculation results match experimental values generally,the theory basis for the transmission system power loss prediction and the optimization of auto transmission system is provided by the model.…”
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A Compressor - System Digital Twin for Performance Prediction Under a Wide Range of Flow and Operating Conditions by Alberto Serena, Lars E. Bakken

“…The main focus is the validation of the system model at the boundary of the operating envelope, and, in particular, the study and prediction of the trip trajectory, caused by disturbances in the power input, or variations in inlet composition, or downstream equipment pressure build-up. …”
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Exploring non-invasive biomarkers for pulmonary nodule detection based on salivary microbiomics and machine learning algorithms by Chunxia Huang, Qiong Ma, Xiao Zeng, Jiawei He, Fengming You, Xi Fu, Yifeng Ren

“…Furthermore, the Bayesian optimization algorithm was used to optimize this best-performing model. …”
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Modulation of muscle anabolism and gut microbiota by Polyporus umbellatus extract attenuates dexamethasone-induced muscle atrophy by Nguyen Bao Ngoc, Subeen Kim, Hye-Young Youn, Huitae Min, Tam Thi Le, Mauliasari Intan Rizki, Dae Won Kim, Kwang Hyeon Cha, Young Tae Park, Sang Hoon Jung, Myungsuk Kim

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Machine learning discovery of the dielectric properties of strontium-containing condensed matter by Dongyang Huang, Jiaxing Fu, Chenghao Yu

“…In this work, machine learning models were successfully developed to capture the relationship between composition and dielectric properties of strontium-containing dielectrics using different algorithms, with hyperparameter optimization performed via grid search. …”
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Codon usage modulates the relationship between the burden and yield of protein overexpression by Cameron T. Roots, Alexis M. Hill, Claus O. Wilke, Jeffrey E. Barrick

“…We test our model by expressing sfGFP and mCherry2 from constructs that have a wide range of codon optimization levels in Escherichia coli. …”
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Kinematics Research and Simulation Analysis of Parallel Mechanism Embossing Machine by Zhanxian Li, Jianli Xu, Jinfeng Huang

“…The establishment of the mechanism composition and mechanism model of this parallel mechanism embossing machine is introduced. …”
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A QbD Approach for the Formulation and Control of Triclabendazole in Uncoated Tablets: From Polymorphs to Drug Formulation by Lucas P. Muzi, Marina Antonio, Rubén M. Maggio

“…To establish a mathematical model linking CPP to dissolution behaviour, a multiple linear regression (MLR) was applied to the training design (central composite design, n = 18). …”
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Deep learning-assisted attribute prediction of chalcogenide glasses based on graph classification by Hui Li, Pan Liu, Shaoyun Liu, Bin Yang

“…However, traditional ML methods, which predominantly rely on single-property modelling, are often inadequate for addressing the practical demand for multiproperty collaborative optimization. …”
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Research on Part Tolerances for RV-40E Reducer Based on Virtual Prototype Technology by Shousong Jin, Jianwen Shen, Boyu Wang, Fengyi Yu, Yaliang Wang

“…The RV-40E reducer is the representative model of the a typical RV reducer, where transmission accuracy and manufacturing cost are two important optimization indicators, while transmission accuracy depends on both the selection of accuracy levels for components, such as bearings, and the design of tolerance values for parts such as cycloidal gears. …”
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Improvement of internal combustion engine valve seats casting technology by D. O. Komarov, V. M. Korolev, A. N. Krutilin, V. S. Los, M. L. Kurbatov, V. Kozjuchenko

“…With а view to improve operation and technological properties of engine valve seats, composition of chromium cast iron has been optimized and a mathematical model of castings hardening has been worked out which allows to calculate cross sectional area of a feeder depending on the alloy temperature, form temperature and hydrostatic head. …”
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