Chemical composition by PTP 1B inhibitory activity guided analysis of a plant- based antidiabetic polyherbal drug used in ethnomedical systems by Pardon Mugari, Pamhidzai Dzomba, Stephen Nyoni

“…A polyherbal drug consisting of a mixture of two herbal plants, Zanthoxylum chalybeum and Xeroderris stuhlmannii root powder mixed in equal amounts using a tea cup, was studied to investigate its chemical composition and possible mode of action. Methods Phytochemicals were isolated using Column and Thin Layer Chromatography, and antidiabetic activity was ascertained using an enzyme inhibition model. …”
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Self-assembled extracellular matrix-lipid nanoparticle composite for site-specific siRNA delivery to improve cardiac repair post-myocardial infarction by Xinming Wang, Yiming Zhong, Bei Qian, Shixing Huang, Qiang Long, Haonan Zhang, Qiang Zhao, Xiaofeng Ye

“…The therapeutic potential of EGFR siRNA delivered via ECM-LNP composite is further explored in a mouse model of myocardial infarction (MI). …”
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Modeling of a low-temperature gas treatment system by M. P. Kuznetsov

“…The main purpose of the work is: investigation of the effect of changes in technological parameters on the efficiency of the separation process and determination of optimal technological modes of operation of gas field X CNTS in the separation process.Method. The problem was solved in the KBC Petro-SIM computer program and the LTS model was built. …”
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Features of Combustion of Water-fuel Emulsions with Different Methods of Introducing Water into the Combustion Zone by Kolbasenko O.V., Dymo B.V., Anastasenko S.M., Shostak O.V.

“…The main purpose of the article is to conduct research on combustion quality and determine nitrogen oxide concentrations for various methods of introducing water into the combustion chamber zone. …”
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Machine learning enhanced ultra-high vacuum system for predicting field emission performance in graphene reinforced aluminium based metal matrix composites by Sunil Kumar Pradhan, Subhayu Kabiraj, Shivin Kumar Gupta, Abhishek Singh, Padmakar G. Chavan, Shubham S. Patil, Trilok Nath Pandey

“…In stage 2, the top models were further refined using advanced techniques, including Gradient-Based Methods and Ensemble Methods. …”
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Optimizing muscle mass and function in advanced lung cancer patients: randomized, double-blind, placebo-controlled trial protocol using High Eicosapentaenoic acid and PROtein (HEPR... by Imanuely Borchardt, Carla Prado, Tatiane Montella, Gisele Fraga Moreira, Gisele Farias, Marina Xavier Reis, Fernanda Taveira, Fernanda Carneiro Dias, Pedro De Marchi, Alberto Davalos, Carolina Alves Costa Silva, Carlos GilMoreira Ferreira, Andreia Melo, Wilza Peres

“…Translational research includes membrane phospholipid composition, gut microbiota, inflammation, and miRNA. …”
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The low enoyl-acyl carrier protein reductase activity of FabI2 is responsible for the high unsaturated fatty acid composition in Sinorhizobium meliloti by Ya-Hui Mao, Feng Li, Li-Zhen Luo, Yu Yin, Jin-Cheng Ma, Wen-Bin Zhang, Hai-Hong Wang, Changyi Zhang, Zhe Hu

“…Additionally, the FabI1 enzyme, encoded by SMc00005, was found to modulate the fatty acid composition within S. meliloti. Together, these discoveries establish a foundation for the development of a model that explains the significant contribution of FabI2 to the robust synthesis of UFAs in S. meliloti.…”
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Maternal diet shapes infant microbiota and defensive capacity against infections in early life via differential human milk compositionResearch in context by Karla Rio-Aige, Marta Selma-Royo, Raúl Cabrera-Rubio, Sonia González, Cecilia Martínez-Costa, Margarida Castell, María J. Rodríguez-Lagunas, María Carmen Collado, Francisco J. Pérez-Cano

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METHODICAL APPROACH TO COUNTERING THREATS OF ECONOMIC SECURITY IN THE CONTEXT OF ENSURING THE PROTECTION OF NATIONAL INTERESTS by M. Kryshtanovych, V. Ortynskyi, O. Krasivskyу, N. Maziy, V. Pasichnyk

“…Of the specific ones, let us single out the modeling method, which made it possible to form an appropriate composition of the main ways to counter the main threats to economic security in the context of protecting national interests. …”
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The impact of 24-h movement behaviors on college students’ physical fitness and its isotemporal substitution benefits: a compositional data analysis approach by Rongxuan Li, Di Cui, Qingqing Fan, Le Zhao, Ziyao Xia, Tianer Zuo, Ye Qiu, Qing Jiang, Jiasheng Huo, Zuoliang Wang

“…Through a rigorous compositional data analysis framework combined with isotemporal substitution model (ISM), we systematically examined the associations between 24-h movement behaviors and physical fitness among college students. …”
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Automated Measurement of Air Bubbles Dispersion in Ice Cream Using Machine Learning Methods by Igor A. Korolev

“…New ice cream formulations depend on the way the composition and production factors affect the air phase. …”
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THE PRINCIPLES AND METHODS OF INFORMATION AND EDUCATIONAL SPACE SEMANTIC STRUCTURING BASED ON ONTOLOGIC APPROACH REALIZATION by Yurij F. Telnov

“…This article reveals principles of semantic structuring of information and educational space of objects of knowledge and scientific and educational services with use of methods of ontologic engineering. Novelty of offered approach is interface of ontology of a content and ontology of scientific and educational services that allows to carry out effective composition of services and objects of knowledge according to models of professional competences and requirements being trained. …”
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AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans for mortality prediction: a multicentre study by Jirong Yi, PhD, Anna M Marcinkiewicz, MD, Aakash Shanbhag, MSc, Robert J H Miller, MD, Jolien Geers, MD, Wenhao Zhang, PhD, Aditya Killekar, MSc, Nipun Manral, MSc, Mark Lemley, BSc, Mikolaj Buchwald, PhD, Jacek Kwiecinski, MD, Jianhang Zhou, MSc, Paul B Kavanagh, MSc, Joanna X Liang, MPH, Valerie Builoff, BSc, ProfMD Terrence D Ruddy, BSc, ProfMD Andrew J Einstein, BSc, Attila Feher, MD, Edward J Miller, Prof, ProfMD Albert J Sinusas, Prof, ProfMD Daniel S Berman, Prof, ProfPhD Damini Dey, Prof, Piotr J Slomka, PhD

“…The independent prognostic value of volumetric attenuation and indexed volumes were evaluated for predicting all-cause mortality, adjusting for established risk factors and 18 other body composition measures via Cox regression models and Kaplan-Meier curves. …”
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Mathematical models of random arrangement of amino acids in the sequence by Alvydas Špokas, Albertas Timinskas

“…It is important to choose rapid and accurate model for imitation of composition of random sequences. …”
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No compromise in efficiency from the co-application of a marine and a terrestrial CDR method by Yiannis Moustakis, Hao-Wei Wey, Tobias Nützel, Andreas Oschlies, Julia Pongratz

“…Abstract Modelled pathways consistent with the Paris Agreement goals to mitigate warming typically include the large-scale application of Carbon Dioxide Removal (CDR), which can include both land- and marine-based CDR methods. …”
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Simulation of endothelium-dependent vasodilation in young male persons based on the parameters of body weight components by O. P. Kentesh, M. I. Nemesh, O. S. Palamarchuk, Yu. M. Savka, Ya. I. Slyvka, V. P. Feketa

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Applying ANFIS and LSSVM Models for the Estimation of Biochar Aromaticity by Ganggang Pan, Haoyan Dong, Maryam Karimi Nouroddin

“…Finally, by comparing the methods proposed in this paper with other models published in previous studies, our model has shown higher accuracy in predicting the target parameter.…”
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Endogenous Reactivity in a Dynamic Model of Consumer’s Choice by Ahmad K. Naimzada, Fabio Tramontana

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Electromagnetic Scattering of Electrically Large Ship above Sea Surface with SBR-SDFM Method by Lixin Guo, Tiantian Feng

“…All simulation results indicate that the proposed method is suitable for providing preliminary radar cross section prediction of electrically large composite model.…”
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Crystal structure generation with autoregressive large language modeling by Luis M. Antunes, Keith T. Butler, Ricardo Grau-Crespo

“…Abstract The generation of plausible crystal structures is often the first step in predicting the structure and properties of a material from its chemical composition. However, most current methods for crystal structure prediction are computationally expensive, slowing the pace of innovation. …”
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