Adaptation potential of medical students in distance learning by O. V. Toussova, O. V. Pavlova

“…The article is devoted to the study of adaptive features of medical students in distance learning. …”
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Quaternion-Based Attitude Control System Design of Single and Cooperative Spacecrafts: Boundedness of Solution Approach by Harry Septanto, Riyanto T. Bambang, Arief Syaichu-Rohman, Ridanto Eko Poetro, Adrianto Ravi Ibrahim

“…This paper presents a solution to design quaternion-based spacecraft attitude control system whose saturation element is in its control law such that those problems are overcome. The proposed feature of methodology is the consideration on boundedness of solution in the control system design even in the presence of unknown external disturbance. …”
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A Novel Hybrid Genetic Modified Colliding Bodies Optimization for Designing of Composite Laminates by Mojtaba Sheikhi Azqandi

“…Compare the results of structural analysis with GMCBO and other optimization methods shows a high convergence rate and its ability to find the global optimal solution of the proposed algorithm for structural optimization problems.…”
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The art of misclassification: too many classes, not enough points by Mario Franco, Gerardo Febres, Nelson Fernández, Carlos Gershenson

“…In this work, we introduce a formal entropy-based measure of classifiability, which quantifies the inherent difficulty of a classification problem by assessing the uncertainty in class assignments given feature representations. …”
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Design and Performance Verification of Deep Learning-Based River Flood Prediction System Design and Digital Twin-Based Its Application by Heesang Eom, Younghun Kim, Jongho Paik

“…This paper presents a digital twin-based river management and flood prediction system designed for hydrological environments, including volcanic geology. To address the problems of rapid runoff and complex terrain, a deep learning-based hybrid model is proposed that integrates a Convolutional Neural Network (CNN) for spatial feature extraction and a Recurrent Neural Network (RNN) with Long Short-Term Memory (LSTM) units for temporal sequence modeling. …”
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Women’s Employment Fluctuations in Iran and its Deviations from the World Trends by hossein ghodrati

“…Along with macro level factors such as social and economic problems, other factors like fertility decline, rise of life expenditure and higher education had great impact on women’s employment rates.…”
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Analyzing the Spread of Informal Employment in Russia: Reasons, Forms and Spheres of Concentration by M. I. Glinskaya

“…One important problem of economy at the current stage of society development is the increase in proportion of informally employed population in the total amount of labour. …”
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The Role of Creativity in Development of Innovation in Tourism by Elif Bascavusoglu-Moreau, Sebastian Kopera, Ewa Wszendybył-Skulska

“…Today, creativity is being frequently analyzed as a basic feature of actions performed on a daily basis in terms of both personal and professional life, a feature that every employee is required to possess. …”
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The Method of Self-supervised Cervical Cell Classification by GAI Jin-ping, QIN Jian, HE Yong-jun, PENG Chen-hui

“…The method first uses SimCLR to train a modified ResNet network for the feature extraction of cells. Then a fully connected neural net is used to make classification predictions based on the extracted feature information. …”
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Meeting Report on the Symposium “Evolutionary Applications” at the 3rd Joint Congress on Evolutionary Biology by Hildegard Uecker

“…The symposium highlighted research on evolutionary biology applied to address questions and contemporary problems in medicine and public health, conservation biology, and food production and agriculture. …”
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Fault early warning model of 4G base station out of service based on centralized monitoring data resources by Yang WANG, Yi MAN, Zhipeng CHEN

“…4G wireless base station equipment is an important link which has direct impact on information communication network customer service quality,and 4G wireless base stations out of service fault will directly block users' normal communication.Aiming at these problems,based on the centralized monitoring warning message data resources through association rule mining and time trace deduction analysis,4G base stations out of service fault short-term warning was achieved.Based on centralized monitoring equipment performance data resources,by the classification of network elements (data cleaning,feature selection,network elements clustering),index dimension reduction (grouped by cluster,principal component analysis),principal component expression and out of service fault correlation analysis,performance indicators selection and threshold analysis,4G base stations out of service fault long-term warning was achieved.The test can accurately predict the 27.8% of 4G base station equipment out of service fault next month.…”
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Reducing the Parameter Dependency of Phase-Picking Neural Networks with Dice Loss by Yongsoo Park, Gregory C. Beroza

“…Training a neural network for picking seismic phase arrivals has been commonly posed as a segmentation problem. It is a highly imbalanced segmentation problem in the sense that the background vastly dominates the foreground because we are trying to pick the optimal single sample point that represents the arrival of a seismic phase in a many seconds long time window. …”
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The Role of Techno-Park Structures in Integrating Mining Regions in Economy of Knowledge by O. E. Kalenov

“…The characteristic feature of new economy is a growing role of human capital, knowledge and high technologies. …”
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From Convolutional Networks to Vision Transformers: Evolution of Deep Learning in Agricultural Pest and Disease Identification by Mengyao Zhang, Chaofan Liu, Zihan Li, Baoquan Yin

“…In recent years, deep learning has gradually become the preferred solution for the intelligent identification of pests and diseases by virtue of its powerful automatic feature extraction and complex data-processing capabilities. …”
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Local elections results in Ukraine: the authorities reframing by S. S. Zhiltsov

“…The «Opposition Platform — For Life» party, oriented towards the South-East Ukrainian electorate, received a high level of support. A distinctive feature of the local elections was the voters’ interest decline in radical nationalist parties. …”
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Opportunity to change the future or “institutional trap” by E. V. Rozhkov

“…Scientific works devoted to the problems of identifying organizational and theoretical models of digitalisation form the methodological basis of the study. …”
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A Method for Detecting Amplitude-Phase Joint Characteristic Parameters of Wireless Channel for Generating Key Parameters by Qiongying Tan, Shuanglin Huang, Sanjun Liu

“…Aiming at the problems of poor adaptability and low secret key generation rate of secret key generation scheme based on single characteristic parameter of wireless channel, a secret key generation method based on joint characteristic parameters of amplitude and phase of wireless channel is proposed. …”
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The Topicality and the Utility of the Teachings of the Holy Fathers by Liviu Petcu

“…By a careful and pious reading of the works of the Holy Fathers, contemporary human beings may find the solutions to their problems and thean swers to their questions, as they are models of Christian living, wisdom and simplicity, and their theological knowledge and the truths they preached were un animously accepted and admired by the whole Church.…”
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New frontiers in agricultural geography: transformations, food security, land grabs and climate change by Guy M. Robinson

“…Agriculture as a central focus of study featured prominently at several different times in the historical development of human geography, but it has also been an important contributor to the disciplinary transformation that has occurred since 1970. …”
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Covid-19 as an Immune Event. Multiple Irritation Scenarios beyond Western Modernizations by Gerhard Preyer, Reuss-Markus Krausse

“…The conclusion and the outlook address fundamental problems that sociological theory should take into account. …”
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