Quantitative determination of the components of the mixture – ear drops “Melavet” by the method of high-performance liquid chromatography by V. V. Parchenko, D. Datsiuk, V. Hunchak, V. Martynyshyn

“…Therefore, the relevance of the research lies in finding the quantity of the composition of the created mixture – ear drops “Melavet” by the HPLC method with mass detection of the initial components. …”
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Prediction of technological properties of wheat flour by combination of UV-VIS-NIR spectroscopy and multivariate analysis methods by R. A. Platova, E. V. Zhirkova, D. A. Metlenkin, A. A. Lysenkova, Yu. T. Platov, V. A. Rassulov

“…Over the last decades, optical spectroscopy methods that do not require complex sample preparation have been widely used to identify and control the composition of food products. …”
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A LithoScanner logging data processing method and application applicable to shale oil formation by Xuan Hu, Zhen Lin Wang, Jing Su, Wang Wang Yang, Xiao Xuan Chen, Peng Liu, Lei Zhao

“…For shale oil formations, the mineral composition is complex and the lithological combinations are diverse, which imposes limitations on conventional well logging interpretation for lithology identification.LithoScanner Logging is a method for quantifying mineral content; however, discrepancies persist between logging-derived mineral content and core experimental results in the actual exploration and development process. …”
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A novel detection method for lipid stability in almond leads to the discovery of marker-trait associations by Gina M. Sideli, Selina C. Wang, Brian J. Allen, Filipa S. Grilo, Thomas M. Gradziel

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ACCELERATING THE FORMATION OF CHILDREN’S VALUES IN A LEARNING ENVIRONMENT by A. I. Mantarova, I. A. Angelova

“…Pilot data got during the experiment prove the model is an innovative method of pedagogical interaction and a «practical tool» for teachers. …”
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Atmospheric Pollutant Flow and Precipitation: Modeling Effects on the Vegetation Ecosystem by Allag Fateh, Saddek Bouharati, Lamri Tedjar, Mohamed Fenni

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Prediction of rare and anomalous minerals using anomaly detection and machine learning techniques by Abish Sharapatov, Alisher Saduov, Nazerke Assirbek, Madiyar Abdyrov, Beibit Zhumabayev

“…The findings demonstrate the potential of unsupervised learning to enhance mineral classification, reduce exploration costs, and improve predictive modeling for rare mineral deposits. Future research will refine these methods by integrating Deep Isolation Forest, Autoencoders, and Graph Neural Networks, further strengthening machine learning applications in geosciences.…”
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Thermal Conductivity Model Analysis of Unsaturated Ice-Containing Soil by Qiang Han, Zhiguo Wang, Rui Qin

“…The variation characteristics of thermal conductivity of permafrost soil with related parameters (porosity, water ratio, moisture percentage, ice content, and tortuosity) are discussed. The model built in this paper provides novel concepts and methods for analyzing the thermal conductivity characteristics of unsaturated soil, as well as enhancing and advancing the analysis.…”
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The Physicochemical Parameters, Phenolic Content, and Antioxidant Activity of Honey from Stingless Bees and <i>Apis mellifera</i>: A Systematic Review and Meta-Analysis by Ana Karen Zaldivar-Ortega, Antonio de Jesús Cenobio-Galindo, Nuria Morfin, Gabriel Aguirre-Álvarez, Rafael G. Campos-Montiel, Nuria Esturau-Escofet, Angel Garduño-García, Juan Carlos Angeles-Hernandez

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Effects of propolis supplementation on prooxidant-antioxidant balance, oxidative stress biomarkers, and body composition in obese patients with NAFLD: A double-blind randomized con... by Hamideh Nazari-Bonab, Mahlagha Nikbaf-Shandiz, Helda Tutunchi, Mehrangiz Ebrahimi-Mameghani

“…The present clinical trial investigated the effect of Iranian PRP on prooxidant-antioxidant balance (PAB), oxidative stress biomarkers, and body composition in obese patients with NAFLD. Methods: In the present double-blind, randomized controlled clinical trial, 44 obese patients with NAFLD were randomly allocated to either Iranian PRP (1500 mg/d) or placebo (1500 mg/d) accompanied by a calorie-restricted diet (CRD) for eight weeks. …”
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Research advances and development trends of wire-based laser directed energy deposition additive manufacturing technology by YUAN Yucheng, SONG Jun, LUO Jiajie, LI Xiangru, SONG Bo, SHI Yusheng

“…Based on this， this paper provides a detailed introduction to the current research status of W-LDED technology from three aspects： process parameter optimization， deposition quality analysis， and microstructural composition control. It analyzes the impact of different parameters on forming quality and manufacturing stability， proposes optimization strategies， summarizes the current application scenarios of W-LDED technology， and presents ideas for the future development trends of this technology，including material innovation and the development of multifuctional composites，research on forming mechanisms，establishing predictive models for process-defect-microstructure property relationships， new hybrid additive/subtractive manufacturing methods，and the development of large-scale，high-precision，and multifuctional equipment.…”
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Digital Colorimetry of Non-steroidal Anti-inflammatory Drugs: Identification Using Principal Component Method by A. A. Chaplenko, O. V. Monogarova, K. V. Oskolok

“…Digital colorimetry is one of the available and simple methods that can be used for the rapid detection of low-quality drugs. …”
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Nutrient availability modulates the effects of plastic leachates on the growth and community dynamics of free-living freshwater bacteria by Marius Schubert, Fazel Abdolahpur Monikh, Fazel Abdolahpur Monikh, Fazel Abdolahpur Monikh, Yuyi Yang, Yuyi Yang, Yuyi Yang, Hans-Peter Grossart, Hans-Peter Grossart

“…Free-living (&lt;5.0 μm) microbial communities of Lake Stechlin, Germany, were exposed to these leachates, and changes in total microbial growth and community composition were analysed using dose response models.ResultsNutrient availability resulted in different effects on total microbial growth and community composition of the tested synthetic polymers. …”
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Assessment of Cholera Bacteriophages Mixture Safety on an Experimental Animal Model by A. V. Tyurina, N. E. Gaevskaya, E. A. Sinel’nik, I. A. Ivanova, A. V. Filippenko, N. D. Omel’chenko, A. A. Trufanova, M. P. Pogozhova, A. O. Anoprienko, N. I. Pasyukova

“…Cholera bacteriophages can become such means.The aim of the work was to study the safety of a mixture of cholera bacteriophages using an experimental animal model.Materials and methods. We used a composition based on cholera phages Rostov-M3, Rostov-13, FB1. …”
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Poly-model complex in the information and analytical environment of the Situation Centre by A. A. Mikryukov, M. E. Mazurov, P. A. Smelov

“…For this purpose, additional elements are introduced in the composition parameters and structures (redundancy) allowing for the direct use of the model to control the quality of the model, to ensure its robustness (insensitivity to changes in composition, structure and content of the original data). …”
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DECISION TREE OR LOGISTIC REGRESSION - WHICH BASIC MODEL IS BETTER? by Kitti Fodor

“…If I compare the two methods, I can conclude that both methods have a high level of accuracy, but logistic regression is the one that produced better results, as it was able to identify a higher proportion of defaulted loans. …”
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Effects of 12 Weeks of Interval Block Resistance Training Versus Circuit Resistance Training on Body Composition, Performance, and Autonomic Recovery in Adults: Randomized Controll... by Héctor Fuentes-Barría, Raúl Aguilera-Eguía, Juan Maureira-Sánchez, Miguel Alarcón-Rivera, Victor Garrido-Osorio, Olga Patrica López-Soto, Juan Alberto Aristizábal-Hoyos, Lissé Angarita-Davila, Diana Rojas-Gómez, Valmore Bermudez, Cherie Flores-Fernández, Ángel Roco-Videla, Jorge Enrique González-Casanova, Sebastian Urbano-Cerda, Dan Iulian Alexe

“…<b>Objectives:</b> Interval block resistance training (IBRT) and circuit resistance training (CRT) are periodization models aimed at enhancing neuromuscular and metabolic adaptations. …”
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ECONOMIC-MATHEMATICAL MODEL OF FORMATION OF INNOVATION AND ENGINEERING INDUSTRIAL CLUSTER by Оlena Akhiiezer, Olha Dunaievska, Anton Rohovyi, Halyna Holotaistrova, Yurii Reshetniak, Serhii Mekhovych

“…The complex interaction of economic and political factors leads to a synergistic effect and allows modeling cluster formation with the identification of the composition of participants and the level of interaction between them. …”
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Data Reconciliation-Based Hierarchical Fusion of Machine Learning Models by Pál Péter Hanzelik, Alex Kummer, János Abonyi

“…The first method involves no data reconciliation, relying solely on machine learning models built independently at each hierarchical level. …”
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Defect Detection Method of Carbon Fiber Unidirectional Band Prepreg Based on Enhanced YOLOv8s by Weipeng Su, Mei Sang, Yutong Liu, Xueming Wang

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