Design and experimental verification of the picking cam mechanism for safflower filaments by Chen Bangbang, Ding Feng, Ma Baojian, Liu Xiangdong, Ning Shanping

“…After that, a safflower filament picking head cutting test bench is built. Using the Central Composite Design method, a regression model between different test factors and indicators is established, and the response surface analysis and parameter optimization are performed for the interacting factors. …”
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Prediction of Low-Temperature Rheological Properties of SBS Modified Asphalt by Qian Chen, Chaohui Wang, Liang Song

“…Compared with the traditional prediction models, the error of the GA-ELM model was reduced by 68.97–81.48%.…”
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DEVELOPMENT OF MICROCAPSULES BASED ON COMBINED ANTIDIABETIC SUBSTANCE: PHARMACOLOGICAL CHARACTERISTICS by A. Giyoszoda, E. F. Stepanova, O. F. Veselova, S. E. Storozhenko

“…Methods for obtaining microcapsules with an original PEG-6000 shell are described.The aim of the study was to develop an optimal technology for obtaining microcapsules with a PEG-6000 shell containing a combined antidiabetic substance, and conduct its detailed pharmacological study on the model of type 2 diabetes mellitus, to conduct a detailed comparative pharmacological study of a microencapsulated antidiabetic composition with a shell based on PEG-6000, including gliclazide and a sum of phytoextracts on the model of type 2 diabetes mellitus.Materials and methods. …”
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Determination of Heating Value of Estonian Oil Shale by Laser-Induced Breakdown Spectroscopy by M. Aints, P. Paris, M. Laan, K. Piip, H. Riisalu, I. Tufail

“…The method for selecting the optimal number of spectral lines for ordinary multivariate least squares regression model is presented. …”
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Experimental Research on Material and Mechanical Properties of Rock-Like Filling Materials in Disaster Prevention of Underground Engineering by Junwei Shi, Zhangliang Chen, Binbin Zheng

“…Firstly, the AHP-FUZZY comprehensive optimization model was constructed for the complexity and fuzziness of the rock-like filling material ratio optimization. …”
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Formation of a heterogeneous group of UAVS with a reasonable number of false and real drones by Volodymyr Prymirenko, Andrii Demianiuk, Roman Shevtsov, Serhii Bazilo, Andrey Pilipenko, Mykola Vovchanskyi

“…The formalization was carried out taking into account two possible cases of use: a) when the enemy has a sufficient number of means to destroy the entire group of UAVs; b) when the enemy has an insufficient number of means to destroy the entire UAV group. A mathematical model for determining the optimal composition of false and real drones (UAVs) as parts of a heterogeneous group of UAVs has been developed, which will allow to fulfill the task of defeating enemy targets with the desired degree of reliability. …”
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Inorganic Acid Anions in Distilled Alcoholic Beverages: Capillary Electrophoresis with Conductometric Detection by Nataliya V. Shelekhova, Irina M. Abramova, Tamara М. Shelekhova

“…The study revealed the working parameters for electrophoretic analysis that provided a selective qualitative and quantitative test of five target analytes in 9 min. The optimal composition of the buffer solution and the optimal electrolyte ratios were 30 mmol/dm3 L-Histidine and 30 mmol/dm3 2-(N-Morpholino) ethanesulfonic acid Monohydrate. …”
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Study of calcium-containing compounds as catalysts for the esterification of glycerol with higher carboxylic acids by Yu. L. Zotov, D. M. Zapravdina, E. V. Shishkin, Yu. V. Popov

“…A sample of a multifunctional additive was tested in a model formulation of a medical plastic compound based on polyvinyl chloride.Results. …”
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Insights from core/shell ZnCuInS/ZnS nanocrystals, type-II confinement, and implications for the design of safer industrial nanocrystals by Michał Zieliński, Agnieszka Gajewicz-Skretna

“…Overall, our study demonstrates that atomistic modeling of ZnCuInS/ZnS nanocrystals provides a powerful method to engineer quantum dot performance through compositional and geometric optimization, paving the way for advanced applications in photonics, optoelectronics, and nanosafety.…”
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Advances in Hepatic Tissue Bioengineering with Decellularized Liver Bioscaffold by Erik Aranha Rossi, Luiz Fernando Quintanilha, Carolina Kymie Vasques Nonaka, Bruno Solano de Freitas Souza

“…The main findings of the articles and each contribution for technique optimization were highlighted, including the protocols of perfusion and decellularization, duration, demonstration of quality control—scaffold acellularity, matrix composition, and preservation of growth factors—and tissue functionality after recellularization. …”
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Recent Material Advances in Carbon Dioxide (CO2) Capture From Power Plant Flue Gases: Toward Achieving Net Zero Emissions by Donald Obi, Samuel Onyekuru, Anselem Orga

“…The author examines the benefits and drawbacks of employing different forms of AMA in post‐combustion capture, highlighting recent breakthroughs in experimental and theoretical modeling, simulation, and optimization studies. The review also explores the strengths and limitations of various AMA configurations, including single‐stage, multi‐stage, and hybrid systems, identifying knowledge gaps and opportunities for advancement in this field. …”
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Diagnostic potential of gut microbiota in Parkinson’s disease by V. A. Petrov, V. M. Alifirova, I. V. Saltykova, I. A. Zhukova, N. G. Zhukova, Yu. B. Dorofeeva, O. P. Ikkert, M. A. Titova, Yu. S. Mironova, A. E. Sazonov, M. R. Karpova

“…These profiles were obtained with amplicon sequencing of bacterial 16S rRNA genes. Classifying models were made using the naive Bayes classifier, the artificial neural network, support vector machine, generalized linear model, and partial least squares regression.As a result we established that an optimal classification by the composition of the gut microbiota on the validation sample (sensitivity 91.30%, specificity 91.67% at 91.49% accuracy) amid patients was demonstrated with a naive Bayes classifier using the representation of the following genera as predictors: Christensenella, Methanobrevibacter, Leuconostoc, Enterococcus, Catabacter, Desulfovibrio, Sphingomonas, Yokenella, Atopobium, Fusicatenibacter, Cloacibacillus, Bulleidia, Acetanaerobacterium, and Staphylococcus.Conclusions. …”
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Preparation of adsorbents for the extraction of heavy metals from mining wastewater by Elena I. Mirzaeva, Nurkhon F. Isaeva, Elmurod Ya. Yalgashev, Dilnoza P. Turdiyeva, Rufatjon M. Boymonov

“…The alkaline alloy was dissolved in water, filtered, and subjected to hydrothermal crystallization. The phase composition of the zeolite adsorbents was studied. Through studying the recovery of heavy metals from model solutions, the mass composition and conditions of alkaline fusion processes as well as the hydrothermal crystallization mode were optimized. …”
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Mechanical Properties of Medical Microbubbles and Echogenic Liposomes—A Review by Hussain Alsadiq, Zahra Alhay

“…Additionally, the factors that influence the mechanical properties of the MBs and ELIPs, such as temperature and lipid composition, are examined. Frequency-dependent attenuation was shown to provide reliable shell elasticity estimates but is influenced by nonlinear oscillations, AFM confirms that microbubble stiffness is size-dependent with smaller bubbles exhibiting higher shell stiffness, and theoretical models such as modified Rayleigh–Plesset equations increasingly incorporate viscoelastic shell properties to improve prediction accuracy. …”
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Multi-field coupling analysis of twin-roll casting process for achieving thin aluminum strip high-speed casting and fabricating laminated metal cladding materials by Ce Ji, Xin Di, Xudong Liu, Shibin Liu, Jianmin Song, Huagui Huang

“…To address these challenges, a multi-field coupling investigation was performed using a cellular automaton-finite element (CAFE) model to analyze transient heat transfer and steady-state solidification structures. …”
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Numerical Simulation of the Erosion Effect Caused by the Impact of High-Velocity Landslide by Cheng Qiao, Youcai Chen, Xuelin Chen

“…Due to the complex composition consisting of solid particles and fluids with different physical properties, geophysical flows often show complex and diverse dynamic characteristics. …”
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Application of Low Stray Inductance Bus-bar Technology in IGBT Converter by CHEN Mingyi, MA Bole, CHEN Yuqi, WANG Xiong

“…It studied laminated busbars which were widely used in IGBT converters, analyzed the generation of overvoltage on switching devices and the way to limit them. The basic model of laminated busbar was established. It presented composition and calculated methods of the total stray inductance in commutation circuits. …”
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Development of a Liposomal Dosage Form Based on Hydrophobic Derivative of Indolocarbazole by B. Lugen, M. V. Dmitrieva, O. L. Orlova, I. I. Krasnyuk, I. I. Krasnyuk (jr.), D. O. Bokov, O. I. Stepanova, A. V. Belyackaya

“…Development of the composition of a model of a liposomal dosage form for injection of an indolocarbazole derivative LHS-1269.Materials and methods. …”
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The role of physical metallurgical relationships in enhancing alloy properties prediction and design: A case study on Q&P steel by Yong Li, Hua Li, Chenchong Wang, Pedro Eduardo Jose Rivera‐Diaz‐del‐Castillo

“…To address this, this study proposes a novel framework that combines PM knowledge graphs (PMKGs) with graph neural networks (GNNs) to predict the tensile properties of quenching and partitioning steels, using genetic algorithms for dual‐objective optimization. Compared to traditional artificial intelligence (AI) models, this framework shows significant advantages in predicting ultimate tensile strength (UTS) and total elongation (TEL) with higher accuracy and stability. …”
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N6-methyladenine identification using deep learning and discriminative feature integration by Salman Khan, Islam Uddin, Sumaiya Noor, Salman A. AlQahtani, Nijad Ahmad

“…In this study, we present Deep-N6mA, a novel Deep Neural Network (DNN) model incorporating optimal hybrid features for precise 6 mA site identification. …”
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