CONDUCTIVE ZONES IN THE LITHOSPHERE OF THE FOLD BELT OF EURASIA AND THEIR RELATIONSHIP TO MODERN GEODYNAMIC PROCESSES by V. V. Belyavsky, Iv. M. Varentsov, I. N. Lozovsky

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Understanding How Business Transformation Processes Are Driven: A Business Agility Model by Alonso Alvarez, Borja Bordel

“…After a process of analysis and refinement based on the completeness of business agility, the frequency with which their dimensions are mentioned in the models were analyzed, and the simplicity in the result was searched for, we propose a model based on nine dimensions. …”
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Deep learning-based action recognition for joining and welding processes of dissimilar materials by Tao He, Xinyuan Jin, Yiming Zou

“…IntroductionJoining and welding processes for dissimilar materials present unique challenges due to the need for precise monitoring and analysis of complex physical and chemical interactions. …”
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Economic and Statistical Modelling of Production Processes in the Regions of the Arctic Zone of the Russian Federation by Sergey V. Baranov, Tatiana P. Skufina

“…At the first stage, the analysis of correlations between GRP and factors of production was carried out, on the basis of which the AZRF regions were divided into three groups: 1) regions in which the mutual behavior of the main factors of production (labor and capital) fits into the generally accepted concepts (the Russian Federation as a whole, the Nenets Autonomous Okrug, the Yamalo-Nenets Autonomous Okrug, the Republic of Sakha (Yakutia)); 2) regions in which the mutual behavior of the main factors of production does not fit into the classical concepts: there is a sufficiently strong positive relationship with only one of the factors of production (the Arkhangelsk Oblast, the Krasnoyarsk Krai, the Komi Republic); 3) regions for which there is no sufficiently strong positive relationship between GRP and factors of production (the Murmansk Oblast, the Republic of Karelia, the Chukotka Autonomous Okrug). …”
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Analytical Approach to UAV Cargo Delivery Processes Under Malicious Interference Conditions by Fazliddin Makhmudov, Andrey Privalov, Sergey Egorenkov, Andrey Pryadkin, Alpamis Kutlimuratov, Gamzatdin Bekbaev, Young Im Cho

“…The input data used for the analysis are parameters that characterize the properties of individual processes within the stochastic network, represented as branches, which are computed using methodologies published in earlier studies. …”
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Ontology of functional synergetics in virtual cognitive-semiotic design of information processes and systems by R. G. Bolbakov, V. A. Mordvinov, P. V. Berezkin, I. I. Sivitsky

“…Tracing what is happening in dynamics, in the inseparability of assessments and regulations of the set of properties, attributes, and manifestations of the analyzed processes to an even greater extent clarifies the essence and role of the concept introduced by the authors in the general classical theory of information processes and systems. …”
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Analysis of a nonsteroidal anti inflammatory drug solubility in green solvent via developing robust models based on machine learning technique by Lijie Jiang, Qi Li, Huiqing Liao, Hourong Liu, Bowen Tan

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INTEGRATED MONITORING OF HAZARDOUS GEOLOGICAL PROCESSES IN PRIBAIKALYE: PILOT NETWORK AND FIRST RESULTS by K. Zh. Seminsky, A. A. Dobrynina, S. A. Bornyakov, V. A. Sankov, A. V. Pospeev, S. V. Rasskazov, N. P. Perevalova, I. K. Seminskiy, A. V. Lukhnev, A. A. Bobrov, E. P. Chebykin, I. K. Edemskiy, A. M. Ilyasova, D. V. Salko, A. V. Sankov, S. A. Korol

“…This implies the network efficiency for a purposeful study of the precursors of large earthquakes which can initiate the development of other hazardous geological processes in Pribaikalye. The deformation monitoring data show some general patterns of earthquake source evolution which corresponds to the fundamental principles of physical mesomechanics. …”
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Drilling parameters as predictors of the measured full scale performance of CFA piles by using statistical analysis of CPT profiles: a case study by Gianpiero Russo, Ilaria Esposito, Massimo Ramondini, Alessia Vecchietti, Giacomo Russo

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Exploring Downscaling in High-Dimensional Lorenz Models Using the Transformer Decoder by Bo-Wen Shen

“…This study highlights several key findings and areas for future research: (1) a set of large-scale variables, analogous to multivariate analysis, which retain memory of their connections to smaller scales, can be effectively leveraged by trained empirical models to estimate irregular, chaotic small-scale variables; (2) modern machine learning techniques, such as FFNN and transformer models, are effective in capturing these downscaling processes; and (3) future research could explore both downscaling and upscaling processes within a triple-scale system (e.g., large-scale tropical waves, medium-scale hurricanes, and small-scale convection processes) to enhance the prediction of multiscale weather and climate systems.…”
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Portfolio Strategy of Financial Market with Regime Switching Driven by Geometric Lévy Process by Liuwei Zhou, Zhijie Wang

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Predictability problems of global change as seen through natural systems complexity description. 1. General Statements by Vladimir V. Kozoderov, Victor A. Sadovnichii, Sergey A. Ushakov, Oleg A. Timoshin

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Investigating Two Methods of Teaching Mathematics Based on Work Mathematics and Understanding Mathematics Included in the General Mathematics by Esmaeil Yousefi, Mohsen Rostamy-Malkhalifeh, Mohammad Maghasedi, Mohammad Hasan Behzadi

“…The primary objective of this article is to conduct an in-depth analysis of two distinct methodologies for imparting mathematical knowledge, specifically tailored for the general mathematics course. …”
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Study on Support Vector Machine-Based Fault Detection in Tennessee Eastman Process by Shen Yin, Xin Gao, Hamid Reza Karimi, Xiangping Zhu

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FuXi-DA: a generalized deep learning data assimilation framework for assimilating satellite observations by Xiaoze Xu, Xiuyu Sun, Wei Han, Xiaohui Zhong, Lei Chen, Zhiqiu Gao, Hao Li

“…Abstract Data assimilation (DA), as an indispensable component within contemporary Numerical Weather Prediction (NWP) systems, plays a crucial role in generating the analysis that significantly impacts forecast performance. …”
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Blended Care Intervention for Cancer Aftercare in General Practice Centers: Protocol for a Randomized Controlled Trial by Michelle J M Smits, Catherine A W Bolman, Ilse Mesters, Lilian Lechner

“… BackgroundCombining effective eHealth programs with face-to-face consultations in general practice may help general practitioners care for survivors of cancer. …”
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APPLICATION OF MICROSURGICAL TECHNOLOGIES IN SURGERY OF SMALL AND MIDDLE INTESTINE IN CONDITIONS OF EXPERIMENTAL INTESTINAL OBSTRUCTION AND GENERAL PERITONITIS by V. K. Esipov, I. I. Kagan, A. V. Donskov, A. R. Kurmashev, S. V. Yashnikov

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Double-component combined generalized weighted fractional Fourier transform based waveform design for massive MIMO by Xingjian LI, Zhiqun SONG, Yong LI, Lizhe LIU, Bin WANG, Chang WANG

“…In order to overcome the drawback of conventional diversity technologies that sacrificing valuable communication resources such as data rate or bandwidth in massive multiple input multiple output (MIMO) systems, a double-component combined generalized weighted fractional Fourier transform (DCGWFRFT) based waveform design method was proposed.The concept of computational diversity was introduced, and the diversity performance was improved via moderate computational resources without requiring channel state information at the transmitter.The principle of computational diversity of DCGWFRFT based waveform was firstly analyzed, and a DCGWFRFT based waveform design and transform process, which could be adopted combined with existing diversity methods, was then proposed according to the principle.Theoretical analysis proves that the proposed waveform design and transform process can perfectly recover the original transmitted signal in noise-free case, and the power of error of proposed waveform is distributed more evenly than that of untransformed waveform in noisy case.Simulation results show that the performance of DCGWFRFT based waveform has an advantage of at least 1.7 dB in bit signal-to-noise ratio compared with untransformed waveform when bit error rate is 10^-3.…”
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Relaxation phenomena in poly(methyl methacrylate) by V. A. Lomovskoy

“…Theoretical analysis of “Deborah number” concept application for the description of inelasticity processes of relaxation origin is made using the phenomenological generalized Maxwell model.…”
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On a Nonsymmetric Keyfitz-Kranzer System of Conservation Laws with Generalized and Modified Chaplygin Gas Pressure Law by Hongjun Cheng, Hanchun Yang

“…The numerical results are coincident with the theoretical analysis.…”
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