Clinical recommendations for the use of ocrelizumab in patients with multiple sclerosis by A. N. Boyko, M. V. Davydovskaya, N. V. Khachanova, M. N. Zakharova, N. N. Spirin, E. V. Popova, V. M. Alifirova, Ya. V. Vlasov, S. A. Sivertseva, F. A. Khabirov, M. V. Shumilina, E. P. Evdoshenko

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Enhancing Analytical Precision in Company Earnings Reports through Neurofuzzy System Development: A Comprehensive Investigation by Bakhyt Matkarimov, Alibek Barlybayev, Didar Karimov

“…This results leads to a hypothesis for further research, suggesting that report indicators may be processed by computational algorithms, potentially including artificial intelligence (AI). …”
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Multi-objective design optimisation of a delta coordinate measurement machine by Louw Jakobus Murray, de Ronde Willis, Marais Stephen, Maweni Thabisa

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Evolutional depression model in the time of pandemic. Psychocherapy and psychopharmacotherapy alliance by A. V. Vasileva

“…The combined therapy algorithm including implementation of SSRI antidepressants and cognitive-behavior psychotherapy, cognitive remediation programs is proposed.…”
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Review on remote OBD system data analysis of heavy-duty diesel vehicle by LIU Haoye, ZHANG Xiaowen, REN Shuojin, WANG Tianyou*

“…At present, the main research directions regarding the data analysis of the remote OBD system for heavy-duty diesel vehicles include high-emission vehicle identification and fault diagnosis, tampering detection of aftertreatment system and analysis of vehicle performance characteristics under real-world driving conditions. …”
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New-Onset Refractory Status Epilepticus (NORSE): literature review and clinical case description by S. G. Burd, M. B. Mironov, E. R. Moizykevich, Yu. V. Rubleva, M. A. Bogomazova, А. V. Yurchenko, T. M. Krasilshchikova, A. Yu. Suvorov, A. V. Lebedeva, R. T. Tairova

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Maintaining the coverage of a satellite multibeam hybrid reflector antenna by monitoring the current reflector state using signals of on-ground beacon by A. V. Dardymov, Yu. I. Choni, A. G. Romanov, I. Yu. Danilov

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Phantom kidney at angionephroscintigraphy by S. P. Mironov, V. B. Sergienko, O. Yu. Narusov, D. N. Shul’gin

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An adaptive zero-sequence current protection scheme for distribution networks based on iterative fault current calculation of IIDGs by LI Juan, JIANG Yunlong, ZHU Rui, YANG Xiong

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Addressing Rare Outages in C-V2X With Time-Controlled One-Shot Resource Scheduling by Md Saifuddin, Mahdi Zaman, Yaser P. Fallah, Jayanthi Rao

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Paget’s disease of the breast (a review of literature) by E. A. Nikitina, M. I. Nechushkin, A. V. Trigolosov, Ya. V. Vishnevskaya

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A Quantitative Evaluation Method Based on Back Analysis and the Double-Strength Reduction Optimization Method for Tunnel Stability by Jinglai Sun, Fan Wang, Xinling Wang, Xu Wu

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Relationship Between Business Models of Banks and Stability of Economic Development by G. G. Gospodarchuk, A. V. Aistov, E. O. Suchkova

“…The research uses econometric methods. The key result of the research is two new econometric models, which were calibrated for the Russian economy. …”
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Forecasting the Directions of the State Policy of the Region on the Basis of Cluster Analysis of Indicators of Socio-Economic Development of Its Municipalities by S. N. Borodin

“…The research uses the concept of sustainable development and the theory of clusters as a methodological basis. …”
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EXPERIENCE OF USING DIGITAL SYSTEMS FOR DIAGNOSTICS OF HYPERTROPHIC SKIN SCARS OF FACE by D.S. Avetikov, O.P. Bukhanchenko, I.O. Ivanytsky, N.A. Sokolova, I.V. Boyko

“…Currently, conventional algorithms for selecting methods of treating patients with scars are available. …”
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MODERN VIEW ON CARDIOTOXICITY OF CHEMOTHERAPEUTICS IN ONCOLOGY INCLUDING ANTHRACYCLINES by G. E. Gendlin, E. I. Emelina, I. G. Nikitin, Yu. A. Vasyuk

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Hybrid feature learning framework for the classification of encrypted network traffic by S. Ramraj, G. Usha

“…Previous research has shown that deep learning methods are effective in the feature learning process, so this study uses a simple feed-forward Deep Neural Network (DNN) to improve the performance of the SVM algorithm. …”
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Analysis of Comprehensive Artificial Neural Network Computer Media Aided Construction of Economic Forecasting Model by Tianfeng Li

“…ANN’s self-learning function, associative storage function, and the ability to find optimal solutions at high speed have led to its in-depth application and research in an increasing number of fields. In addition, ANN research work has continued to advance, has made great progress in many fields represented by economic forecasting, has successfully solved many practical problems, showing a more intelligent adaptation in the field of economics, and therefore has an important research value. …”
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Learning the therapeutic targets of acute myeloid leukemia through multiscale human interactome network and community analysis by Suruthy Sivanathan, Ting Hu

“…In this research, we identify therapeutic candidates for AML and their mechanisms from the interactome, and isolate prioritized communities that are dominant in the therapeutic mechanism that could potentially be used as a prompt for pre-clinical/translational research (e.g. bioinformatics, laboratory research) to focus on biological functions and mechanisms that are associated with the disease and drug. …”
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Structure and relations of a multi-level mathematical model for describing microcracks formation during polycrystals deformation by K.A. Kurmoiartseva, N.V. Kotelnikova, P.S. Volegov

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