Technical Analysis of Horizontal Section Geosteering by LI Xiaoqiang, YANG Bin, YANG Zhihua

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A Simple-to-Implement Simulator for the Reactive Extrusion of Poly(Lactic Acid) in a Corotating Uniform Twin-Screw Extruder by René O. Vargas, J. Esteban López-Aguilar, Lorenzo A. Martínez-Suástegui, Francisco López-Serrano

“…The present paper deals with the poly(lactic acid) (PLA) reactive processing simulation in a uniform corotating twin-screw extruder that can be readily turned into practical applications in pilot and industrial equipment. …”
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Optimizing Power Quality on High-Speed Rail Networks: Advances in Measurement and Evaluation Methods by Taleb Yassine, Lamrani Roa, Touil Redouane, Abbou Ahmed

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RETRACTED: Computerized Detection of Calcium Oxalate Crystal Progression by Hanan A. Hosni Mahmoud

“…The experimental results, using electron micrographs of 6900 clusters, demonstrated a success rate of 97.5% when detecting cases of calcium oxalate crystals. …”
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Development of Automatic Inspection and Optimization Platform for Computer Numerical Control Machining Using Automatic Optical Inspection and Artificial Intelligence by Qi-Ren Lin, Bo-Cing Hu, Liang-Yin Kuo, Ting-Yi Shen

“…The reliability and accuracy of CNC processes were improved, and data-driven automated manufacturing and process optimization were achieved, meeting the goals of intelligent manufacturing and Industry 4.0.…”
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Histological and Biochemical Changes in The Uteri; Centella Asiatica as an Antifertility Agent by Akporobo Ejeguo*; Vitalis C. Ezeuko

“…The pregnancy success rate of mated animals decreased in a dose-dependent manner. …”
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Analysis of the conditions of application of flow converters and means of measuring gas flow parameters in the information and measurement system of gas accounting by Yu.O. Podchashinskiy, L.O. Chepiuk, T.S. Voronova, L.Yо. Shavurska

“…The following measuring tools and technical devices are generally used to measure the flow rate and amount of natural gas: ultrasonic flow transducer; means of measuring gas flow parameters (temperature, pressure, density, component composition); devices for processing output data of measuring channels and calculating gas flow and quantity; connecting lines and auxiliary devices (filters, jet straighteners, etc.). …”
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A Dynamic Framework for Community-Facility Siting with Inter-Community Competition by Sisi Zhu, Haoying Han, Anran Dai

“…This framework includes the BOMSDM itself, the data collection and processing method, and the constrained NSGA-II as the computational algorithm. …”
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Hematological Changes and Immunomodulation of Neutrophil and Monocyte Populations in Shelter Dogs by Marek Kulka, Iwona Monika Szopa, Maciej Klockiewicz

“…Our study revealed that stressful conditions can alter the molecular pattern of surface receptors on neutrophils and monocytes, as well as the leukocytes apoptosis rate. The obtained data also indicated that the dogs’ duration of stay in the shelter plays an important role in immunomodulation and triggering their adaptation mechanisms. …”
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Preparation and characterization of novel PA6/SiO2 composite microsphere applied for selective laser sintering by G. X. Wang, P. Liu, W. Zhang, Zh. Ch. Zhen, X. W. Wang, B. Lu, P. L. Wang, J. H. Ji

“…Differential scanning calorimetry (DSC) data showed that the composite powder had a larger sintering window, which would be beneficial for SLS processing. …”
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Unregistered Biological Words Recognition by Q-Learning with Transfer Learning by Fei Zhu, Quan Liu, Hui Wang, Xiaoke Zhou, Yuchen Fu

“…Unregistered biological words recognition is the process of identification of terms that is out of vocabulary. …”
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Forecasting Use of Critical Rear-Earth Metals and Lithium During Energy Transformation by V. E. Shunkov, P. I. Sevostyanov

“…The authors researched problems connected with current and future REE supplies for low-carbon technologies: monopoly of China, the absence of equivalents substitutions, low rate of processing, etc. The authors analyzed long-term trends of consuming rear-earth metals and lithium on the basis of simple models of data and more complicated ones - multinomial. …”
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Four Years of Real-Time GRB Followup by BOOTES-1B (2005–2008) by Martin Jelínek, Alberto J. Castro-Tirado, Antonio de Ugarte Postigo, Petr Kubánek, Sergey Guziy, Javier Gorosabel, Ronan Cunniffe, Stanislav Vítek, René Hudec, Victor Reglero, Lola Sabau-Graziati

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Hybrid CNN-GRU Models for Improved EEG Motor Imagery Classification by Mouna Bouchane, Wei Guo, Shuojin Yang

“…Efficient feature extraction from raw EEG signals is essential to improve classification accuracy while minimizing reliance on extensive preprocessing. In this study, we introduce new hybrid architectures to enhance MI classification using data augmentation and a limited number of EEG channels. …”
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A Comprehensive Analysis of Early Alzheimer Disease Detection from 3D sMRI Images Using Deep Learning Frameworks by Pouneh Abbasian, Tracy A. Hammond

“…Early detection is essential for potentially reducing mortality rates; however, distinguishing EMCI from Normal Cognitive (NC) individuals is challenging due to similarities in their brain patterns. …”
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Comparative placebo-controlled study on the effect of dietary supplements containing omega-3 polyunsaturated fatty acids on hemodynamics and lipid metabolism in postmenopausal wome... by D. A. Napalkov, A. A. Sokolova, A. A. Kudrjavtseva, A. I. Skripka, A. V. Zhilenko, E. V. Kolpachkova, D. K. Varvarina

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THE RESEARCH RESULTS OF TENDER PROCUREMENTS OF THE DRUGS FOR CANCER PATIENTS IN UKRAINE by G. L. Panfilova, O. V. Tsurikova

“…The paper used data from national legislative and regulatory framework governing the organization of pharmaceutical support cancer patients, standard methods of statistical processing of the dynamics of the clinic-economic analysis. …”
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Deep learning for property prediction of natural fiber polymer composites by Ivan P. Malashin, Dmitry Martysyuk, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov, Vadim Tynchenko

“…Best DNN model architecture (four hidden layers (128–64–32–16 neurons), ReLU activation, 20% dropout, a batch size of 64, and the AdamW optimizer with a learning rate of $$10^{-3}$$ ) obtained through hyperparameter optimization using Optuna, delivered the best performance (R $$^2$$ up to 0.89) and MAE reductions of 9–12% compared to gradient boosting, driven by the DNN’s ability to capture nonlinear synergies between fiber-matrix interactions, surface treatments, and processing parameters while aligning architectural complexity with multiscale material behavior.…”
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A comprehensive framework for decoding salty taste information from electroencephalography signals: distinguishing brain reactions to saltiness of comparable intensity by Jingjing Liu, Yifei Xu, Xingwang Lian, Tianming Liu, Haohao Ning, Xi Jiang, Shixin Yu, Shikun Liu, Lu Huang, Xiaojun Sun, Jiangyong Li, Dongfu Xu

“…Applying this method to the EEG processing workflow can form a complete data processing framework. …”
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An Under-Sampled Line Array Element Signal Reconstruction Method Based on Compressed Sensing Theory by Tongjing SUN, Mengwei ZHOU, Lei CHEN

“…Our simulation and practical test data processing results demonstrate that this method can achieve high-precision reconstruction of under-sampled array element domain signals at low under-sampling rates and can reconstruct full array signals with minimal error. …”
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