RUSSIAN MEDICAL UNIVERSITIES IN INTERNATIONAL RANKINGS: COMPARISON OF SCIENTOMETRIC CRITERIA by M. B. Khrustalev, N. Yu. Turbina, A. A. Maksimova

“…The parameters of academic efficiency along with reputation indicators become the main criteria for inclusion in international and domestic rankings and thus affect the financial well-being of the university.The objective of this study is to compare the indicators of scientific activity of the largest Russian medical universities and the foreign non-English speaking university that conducts training in medicine, according to data obtained from scientometric databases and to determine the prospects for including Russian medical universities into the leading international rankings.Material and methods. …”
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Graph convolutional neural networks improved target-specific scoring functions for cGAS and kRAS in virtual screening by Bo Wang, Muhammad Junaid, Wenjin Li

“…In the drug discovery process, traditional structure-based virtual screening methods, such as molecular docking, are often limited by empirical scoring functions. …”
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MODELING OF BUSINESS PROCESSES FOR MANAGING INTEGRATIVE DIGITAL DEVELOPMENT OF ENTERPRISES by Оlena V. Vynogradova, Svitlana V. Lehominova, Aliona Yu. Goloborodko, Tetiana I. Nosova

“…The dependence of management efficiency and the achievement of positive outcomes on the synchronization of these flows has been revealed, taking into account possible temporary variations in the investment dynamics of each flow. …”
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The smart cities are implemented – Are citizens also "smart"? by Robertina ZDJELAR, Robert KELEMEN

“…Results: The authors will present the possibilities of carrying out an experiment that will clarify the methods of developing 54+ e-skills in efficient ways. …”
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Mechanism of steam chamber expansion and economic and technical limits of injection and production in VHSD development for extra-heavy oil reservoirs by SHAO Guolin

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Molecular Insights and Bioactive Spectrum of Vaccinium cyanococcus: Exploring its Role in Redox Balance, Immune Response, and Glucose Homeostasis by Shafia Arshad, Aisha Sethi, Rida Siddique, Usman Wajid, Amina Riaz, Maryam Zain, Farah Zafar, Asia Perveen, Faiza Irshad, Hafiz Muhammad Arsalan, Neelam Farheen

“…This study aims to explore the phytochemical composition, biological activities, and in silico perspectives of blueberry extracts. Methods: Methanolic and ethanolic extracts were prepared, and their antioxidant, anti-inflammatory, and antidiabetic properties were evaluated using standard assays. …”
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Digital Transformation of Commerce: Conceptual Aspects and Key Challenges by Pylypenko Viacheslav V., Pylypenko Nadiia M.

“…The main outcomes of the research include the identification of the key components of digital transformation and the determination of their impact on trade processes. These components are analyzed in terms of their influence on trade processes, with an emphasis on how they enhance operational efficiency, enable customer personalization, and optimize logistics and supply chain management. …”
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Forecasting Wind Farm Production in the Short, Medium, and Long Terms Using Various Machine Learning Algorithms by Gökhan Ekinci, Harun Kemal Ozturk

“…Five machine learning algorithms were employed—Artificial Neural Network (ANN), Random Forest (RF), Extreme Gradient Boosting (XGBoost), K-Nearest Neighbors Regression (KNN), and Multi-Layer Perceptron (MLP ANN)—utilizing both MinMax and Standard Scaling methods. Prediction performance was evaluated using Mean Absolute Error (MAE), Coefficient of Determination (R²), and Root Mean Square Error (RMSE) metrics. …”
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Heat treatment control technology of high-strength steel gears based on support vector machine by Yanzhong Wang, Libin Zhang, Yulu Su, Hai Liu, HaiLong Yang, Yanyan Chen

“…The root mean square error value of the final model is 3.16%, and the coefficient of determination is 0.993. The results show that the method of this paper can accurately and efficiently predict the heat treatment results of gears, and save the manufacturing cycle and cost. …”
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Analysis of Algorithms for Detecting Users’ Behavioral Models based on Sessions Data by Vitaly Zabiniako, Toms Rožkalns, Erika Nazaruka, Jurijs Kornienko

“…Thus, these algorithms are suitable for the further development of the detecting method. …”
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Real-Time Release Testing of Herbal Extract Powder by Near-Infrared Spectroscopy considering the Uncertainty around Specification Limits by Guolin Shi, Bing Xu, Xin Wang, Zhong Xue, Xinyuan Shi, Yanjiang Qiao

“…Process analytical technology (PAT) is an attractive and efficient way for realizing RTRT. In this paper, near-infrared (NIR) determination of cryptotanshinone and tanshinoneIIA content in tanshinone extract powders was taken as the research object. …”
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Comparison of Shear Bond Strength of Recycled Ceramic Brackets with Er,Cr:YSGG and Sandblasting: An <italic>In Vitro</italic> Study by Vikas Grack Chaudhary, Prerna Hoogan Teja, Shruti Mittal, Mahak Gagain, Aashee Verma, Ramanpreet Kour

“…Aim: This study was performed to compare the shear bond strength (SBS) of recycled ceramic brackets with Er,Cr:YSGG, and Sandblasting. Materials and methods: A total of 120 noncarious, sound premolars extracted for routine orthodontic treatment were used in this study. …”
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Thermodynamic and Structural Characterization of a Mechanochemically Synthesized Pyrazinamide–Acetylsalicylic–Acid Eutectic Mixture by Luís H. S. Queiroz, Mateus R. Lage, Clenilton C. dos Santos, Mafalda C. Sarraguça, Paulo R. S. Ribeiro

“…<b>Background/Objectives:</b> This study aims to develop a sustainable and environmentally friendly drug delivery system by synthesizing a novel drug–drug eutectic mixture (DDEM) of acetylsalicylic acid (ASA) and pyrazinamide (PZA) using a green and efficient mechanochemical approach. <b>Methods:</b> The DDEM was characterized using various techniques, including differential scanning calorimetry (DSC), thermogravimetry and differential thermal analysis (TG-DTA), powder X-ray diffraction (PXRD), Fourier transform infrared spectroscopy (FT-IR), and Raman spectroscopy. …”
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Optimal, fast, and robust inference of reionization-era cosmology with the 21cmPIE-INN by Benedikt Schosser, Caroline Heneka, Tilman Plehn

“…Our framework combines a convolutional summary network and a conditional invertible network through a physics-inspired latent representation. It allows for an efficient and extremely fast determination of the posteriors of astrophysical and cosmological parameters, jointly with well-calibrated and on average unbiased summaries. …”
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Threshold-Optimized Swarm Decomposition Using Grey Wolf Optimizer for the Acoustic-Based Internal Defect Detection of Arc Magnets by Qinyuan Huang, Qiang Li, Maoxia Ran, Xin Liu, Ying Zhou

“…Experimentally, the detection accuracy reaches above 97%, and the detection speed per single arc magnet does not exceed 3.4 seconds. The proposed method cannot only determine the unified threshold setting of SWD for similar signals but also achieve an accurate, rapid detection for the internal defects.…”
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Mechanical Properties of Similar Materials Simulating Weak Surrounding Rocks with Different Ratios of Fine-to-Coarse Aggregate by Lan Cui, Qian Sheng, Chenxi Miao, Si Luo

“…The purpose of the study is to provide an optimum RFCA for similar materials simulating weak surrounding rock and to present a convenient and efficient numerical method to determine the optimum ratio of fine-to-coarse aggregate (RFCA) in geo-mechanical model tests. …”
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A Novel Dual-Channel Hybrid Attention Model for Wind Turbine Misalignment Fault Diagnosis by Tong Tong, Xiang Liu, Jia Zhang, Dian Long, Teng Fan, Xiangyang Zheng

“…The multi-scale features optimized by the SHEA module are fed into the classifier for fault type determination. The experimental results show that the method demonstrates excellent convergence speed and 99.64% classification accuracy under complex working conditions, providing an effective solution for the intelligent diagnosis of wind turbine misalignment faults.…”
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The Effect of Telephone Health Training on Perceived Stress of Mothers with Premature Infants Discharged from Hospital by Hossein Tavangar, Marjan Alichi, Zahra Pourmovahed

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Inversion of permeability coefficient based on adaptive differential hybrid butterfly particle algorithm by Zhao YANG, Donglin DONG, Yuqi CHEN, Rong WANG

“…However, traditional inversion methods such as the fitting curve method and graphical method exhibit shortcomings in computational speed and accuracy. …”
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Nonlinear Regression with High-Dimensional Space Mapping for Blood Component Spectral Quantitative Analysis by Xiaoyan Ma, Yanbin Zhang, Hui Cao, Shiliang Zhang, Yan Zhou

“…Accurate and fast determination of blood component concentration is very essential for the efficient diagnosis of patients. …”
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