Latin American Populism: historical context and modern trends by P. P. Yakovlev, N. M. Yakovleva

“…Up to this day, populists of different beliefs largely form a vector of socio-economic development of an entire region. …”
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Regional Funds of Scientific and Innovation Activity Support: Institutional Aspect by T. N. Topoleva

“…A special role in processes of interaction between state, business and science is entrusted to institutions of development, which are to foster knowledge generation and successful practices of innovatization. …”
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TRANSDISCIPLINARY MODEL OF A CONTEMPORARY EFFECTIVE MANAGER by N. Khmelkova

“…The author suggests that in order to manage people, assets, processes effectively the modern managers must cognize the subject of management across the spectrum of all its forms, understand and adopt its complicated nature as well as master to work in this not easy reality.…”
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SEARCH ALGORITHM FOR THE PARAMETRIC IDENTIFICATION OF THE ELECTRIC DRIVE OF THE MONITORING SYSTEM by A. S. Abufanas, A. A. Lobaty, A. G. Shvedko

“…When solving the problem, the random character of the processes occurring in the system and at the output of the output signal meter is taken into account. …”
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Exposure to Pseudomonas spp. increases Anopheles gambiae insecticide resistance in a host-dependent manner by Luís M. Silva, Gwendoline Acerbi, Marine Amann, Jacob C. Koella

“…Abstract The microbiota of mosquitoes influences many aspects of their biology, including developmental processes, mating and sexual reproduction, immune functions, and refractoriness to pathogens. …”
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Investigation of the plane wave coupling to a linearly loaded transmission line network by L. M. Galeev

“…On the basis of obtained results, the author was able to identify the main aspects that may be useful in modeling and predicting the electromagnetic processes occurring in linearly loaded conductors, power supply and / or data transmission systems.…”
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СТРУКТУРНЫЕ ДИСПРОПОРЦИИ КАК УГРОЗА ЭКОНОМИЧЕСКОЙ БЕЗОПАСНОСТИ РОССИИ by N. V. Osokina, E. V. Slesarenko

“…Results: basing on the analysis of scientific economic literature and statistical data, the historical background is revealed of the emergence of structural disproportions in the Russian economy, the origins of which had been laid long before the formation of the USSR and tended to strengthen during the Soviet period, and later during the period of transformation processes that swept the country at the turn of XX-XXI centuries; the influence of structural disproportions on the security of the Russian economy was described, which can be interpreted as a threat, characterized by a complete de-industrialization of the economy, reduction of innovation development, degradation of economic base and scientific potential, increasing dependence on vital consumer and industrial goods; there is a need to change the vector of socio-economic development of Russia and form a new model of structural modernization. …”
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Optimizing machine learning for enhanced automated ECG analysis in cardiovascular healthcare by Keyi Tang, Shuyuan Ma, Xiaohui Sun, Dongfang Guo

“…This study explores the use of machine learning and deep learning algorithms, including Support Vector Classifier (SVC), RandomForest, XGBoost, and LinearSVC, for ECG classification, aiming to improve accuracy and diagnostic capabilities. …”
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Dynamics of Magnetization in Multilayer TbCo / FeCo Structures under the Influence of Femtosecond Optical Excitation by N. A. Ilyin, A. A. Klimov, N. Tiercelin, P. Pernod, E. D. Mishina, M. S. Gaponov, K. A. Brekhov, A. S. Sigov, V. L. Preobrazhensky

“…The need to study ultrafast processes in magnetism is due to the prospects for creating ultrafast magnetic recording and ultrafast spintronic devices. …”
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FloodGNN-GRU: a spatio-temporal graph neural network for flood prediction by Arnold Kazadi, James Doss-Gollin, Antonia Sebastian, Arlei Silva

“…Compared to existing approaches, FloodGNN-GRU (i) employs a graph-based model (GNN); (ii) operates on both spatial and temporal dimensions; and (iii) processes the water flow velocities as vector features, instead of scalar features. …”
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Analysis of Wind Regime and Sand Transport Potential in the Marginal Ergs of the Namak Lake, Central Iran by Ariyan Allahveisi, Mehran Maghsoudi, Abolfazl Qojezadeh Helani, Mehdi Safari namivandi

“…These results confirm the crucial role of climatic factors, topography, and sediment sources in the dynamism of aeolian landforms and geomorphic processes in the region.Innovation: This study applies a vector-based, quantitative approach to sand drift analysis using wind indices, helping explain dune formation patterns and predict future morphological changes. …”
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The Analytical System for Determining the Attitude of Students to the University by Violeta Tretynyk, Mariia Pinda

“…However, traditional methods of collecting and analyzing feedback are often not automated, requiring significant time and human resources to process large amounts of text data. Existing software solutions use methods for processing and analyzing text tone based on machine learning methods and algorithms (naive Bayesian classifier, support vector machine, logistic regression), as well as deep learning (recurrent neural networks). …”
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Dimensionality Reduction using Hybrid Algorithms and Their Application to Remote Sensing Data by Maha Hasso, Mona Siddiq

“…In this work, A proposed Algorithm has been constructed for the selecting the best band and lessening high dimension of remote sensing data depending on multi algorithms, each on carried out and its results are studied irrespective of other, then combining them in the proposed algorithms, in the principle component analysis algorithm find covariance matrix for the processing bands . Then find Eigen vector by using Jacobs’s method and this represents the highest value in Eigen vector. …”
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混合驱动凸轮连杆机械压力机的分析与仿真 by 李竞洋, 葛正浩, 苏鹏刚, 蒋萌

“…The significance of applying hybrid cam-linkage mechanism to mechanical press is expounded.This new type of mechanistic configuration for the hybrid cam-linkage mechanical press is proposed and its kinematic principle is analyzed.Using complex number vector method,the inverse kinematic analysis of this hybrid mechanism is carried out and the actual operating function that can meet the demand of processing techniques is worked out.Based on Pro/Mechanism,The mechanism motion simulation is done.The results show that the hybrid cam-linkage mechanical press can realize multiple motion specification and satisfy multi-technique request from slider velocity characteristics in the course of process.According to the structure analysis and simulation for hybrid seven-bar mechanism,the conclusion that compared to the hybrid seven-bar press,the hybrid cam-linkage press has the merits of easy link lengths restriction and good motion output is obtained.At last,the dynamic simulation model is designed,and the power distribution of the constant speed motor and the servo-motor is analyzed.…”
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A new machine learning approach based on spatial fuzzy data correlation for recognizing sports activities by Xu Pengru, Zhou Junhui, Kausar Nasreen, Lin Chunlei, Lu Qianqian, Ghaderpour Ebrahim, Pamucar Dragan, Zadeh Ardashir M.

“…Wearable sensors (WS) play a vital role in health assistance to improve the patient monitoring process. However, the existing data collection process faces difficulties in error corrections, rehabilitation, and training validations. …”
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Memristive Bellman solver for decision-making by Zhe Feng, Zuheng Wu, Jianxun Zou, Lingli Cheng, Xiaolong Zhao, Xumeng Zhang, Jian Lu, Cong Wang, Yilin Wang, Haochen Wang, Wenbin Guo, Zhibin Qian, Yunlai Zhu, Zuyu Xu, Yuehua Dai, Qi Liu

“…However, the iterative nature of the Bellman equation solving process poses a challenge for efficient implementation on MCIM systems, which excel at vector-matrix multiplication (VMM) operations but are less suited for iterative algorithms. …”
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On Classification of the Human Emotions from Facial Thermal Images: A Case Study Based on Machine Learning by Marius Sorin Pavel, Simona Moldovanu, Dorel Aiordachioaie

“…An augmentation process was applied to the initial raw images that led to the development of the two databases with added noise, as well as the subsequent augmentation of all images, i.e., rotation, reflection, translation and scaling. (2) Methods: The multiclass classification process was implemented through two subsets of methods, i.e., machine learning with random forest (RF), support vector machines (SVM) and k-nearest neighbor (KNN) algorithms and deep learning with the convolutional neural network (CNN) algorithm. (3) Results: The results obtained in this paper with the two subsets of methods belonging to the field of artificial intelligence (AI), together with the two categories of facial thermal images with added noise used as input, were very good, showing a classification accuracy of over 99% for the two categories of images, and the three corresponding classes for each. (4) Discussion: The augmented databases and the additional configurations of the implemented algorithms seems to have had a positive effect on the final classification results.…”
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Mid-and-Long Term Load Forecasting Based on Integrated Power Consumption Data by Xingang WANG, Binruo ZHU, Zhen GU

“…Towards the issue of load forecasting, with water/power/gas consumption data collected by integrated smart meter as features, two mid-and-long term power consumption forecasting methods are proposed: gaussian process regression (GPR) and relevance vector regression (RVR). …”
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Applicability of Artificial Intelligence in Smart Healthcare Systems for Automatic Detection of Parkinson’s Disease by Harikumar Pallathadka, S.J.R.K. Padminivalli V., M. Vasavi, P. Nancy, Mohd Naved, Harish Kumar, Samrat Ray

“…Received photos are preprocessed using the relief feature option to begin the process. This is helpful in the process of selecting characteristics for the identification of Parkinson’s disease. …”
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EDUCATIONAL MOTIVATION OF UNDERGRADUATE STUDENTS AS AN INDICATOR OF THE QUALITY OF EDUCATION by V. G. Antonov, T. Yu. Krotenko, M. B. Zhernakova, I. A. Rumyantseva

“…The motivation as one of the key indicators of the quality of higher education, as a powerful driver of the educational process, and one of the main catalysts of personal and professional growth of the student has been considered. …”
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