Gap Analysis (Current Situation and Favorable Situation) Variables of Quality of Working Life and Organizational Apathy in the General Departments of Sports and Youth of the Northw... by Jabrael Tajneya, Habib Honari, Alimohamad Amirtash

“…Further, there was not a significant difference between work-life quality, organizational apathy and demographic features (gender and Education).Conclusion: Considering the research findings, it is suggested that sport managers seek to improve the quality of employees' working life which in turn could reduce the problem of organizational apathy and improve employee productivity.…”
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Nonpuerperal Uterine Inversion: What the Gynaecologists Need to Know? by R. P. Herath, M. Patabendige, M. Rashid, P. S. Wijesinghe

“…High degree of clinical suspicion and identification of unique features on ultrasonography and magnetic resonance imaging enable prompt diagnosis. …”
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An efficient dual-branch framework via implicit self-texture enhancement for arbitrary-scale histopathology image super-resolution by Minghong Duan, Linhao Qu, Zhiwei Yang, Manning Wang, Chenxi Zhang, Zhijian Song

“…The proposed ISTE contains a feature aggregation branch and a texture learning branch. …”
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Great expectations for collective management: the mismatch between supply and demand for catchment groups by Jim Sinner, Marc Tadaki, Margaret Kilvington, Edward Challies, Paratene Tane, Christina Robb

“…Globally, agri-environmental policies targeting individual farmers have made little progress on the problem of diffuse water pollution, leading to increased demand for collective approaches to manage cumulative effects. …”
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Modeling of Nonlinear Systems: Method of Optimal Injections by Anatoli Torokhti, Pablo Soto-Quiros

“…In particular, one of the specific features of the developed approximating technique is special random vectors called injections. …”
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Using Graph-Enhanced Deep Reinforcement Learning for Distribution Network Fault Recovery by Yueran Liu, Peng Liao, Yang Wang

“…To address these challenges, this paper proposes a graph-based multi-agent deep reinforcement learning (DRL) framework for intelligent fault restoration in power distribution networks. The restoration problem is modeled as a partially observable Markov decision process (POMDP), where each agent employs graph neural networks to extract topological features and enhance environmental perception. …”
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Pedagogical specifics of implementation the Russian musical tradition in the vocal art of China by N. P. Andreeva

“…The study allows us to conclude about the interpenetration of two musical traditions that have enriched the national culture of China and preserved the features of cultural identity.…”
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A Hair Drawing Evaluation Algorithm for Exactness Assessment Method in Portrait Drawing Learning Assistant System by Yue Zhang, Nobuo Funabiki, Erita Cicilia Febrianti, Amang Sudarsono, Chenchien Hsu

“…However, it is challenging for novices to start learning it, as they usually lack a solid grasp of proportions and structural foundations of the five senses. To address this problem, we have studied <i>Portrait Drawing Learning Assistant System (PDLAS)</i> for guiding novices by providing <i>auxiliary lines</i> of facial features, generated by utilizing <i>OpenPose</i> and <i>OpenCV</i> libraries. …”
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Reactive astrocytes and glioblastoma: are there new targets for more effective antitumor therapy? by E. E. Tyagunova, V. Z. Dobrokhotova, A. O. Dushina

“…To comprehensively study the features of reactive astrocytes and the chemo- and radioresistance of gliomas associated with reactive astrocytes.Materials and methods. …”
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Filling-well: An effective technique to handle incomplete well-log data for lithology classification using machine learning algorithms by Sherly Ardhya Garini, Ary Mazharuddin Shiddiqi, Widya Utama, Alif Nurdien Fitrah Insani

“…The ANN also performed effectively, particularly on the GR, RS, and RD features, after the use of preprocessing techniques such as isolation forest and bias correction. …”
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Theoretical Approaches аnd Program-Target Method in the Regional Study оf Youth Migration by N. A. Shchitova, V. S. Belozerov, Ju. F. Zolnikova, P. M. Polyan

“…Feature Comparative Research Program spatial differentiation of youth migration in Stavropol region and the Republic of Dagestan includes five stages: preparatory - collection and systematization of statistical and documentary information about youth migration in the Stavropol Territory and Dagestan; sociological research; analytical – identification of spatial features youth migration in Dagestan and Stavropol Territory; practical – development of applied aspects, implementation of research results in practical activities of the authorities of the Stavropol Territory and Republic of Dagestan. …”
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The Induction and Detection Method of Angry Driving: Evidences from EEG and Physiological Signals by Lixin Yan, Ping Wan, Lingqiao Qin, Dunyao Zhu

“…This study focuses on the problem of inducing and detecting driving anger based on the simulation and on-road experiments. …”
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Human-geographical concept of the regional geodemographic system by Kateryna Sehida

“…The received result will allow his estimates and comparison with a definite purpose of correction of the purpose according to new to conditions and features of regional geodemographic system. The offered concept can be applied to a research of geodemographic systems of various regions and countries.…”
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Increase in efficiency of chemotherapeutic drugs: physico-chemical factor by S. P. Turanska, T. V. Krupska, V. V. Turov, P. P. Gorbyk

“…The combination of the above features of nanocomposites, as well as their role in overcoming the drug resistance of cells of malignant neoplasms to cisplatin, testify to the perspective of creation and research of nanocomposite drugs in solving the problem of increase in the efficiency of chemotherapy. …”
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Uncertainty-Aware Semi-Supervised Method for Pectoral Muscle Segmentation by Yutao Tang, Yongze Guo, Huayu Wang, Ting Song, Yao Lu

“…Recent semi-supervised methods usually filter out low-confidence target predictions to alleviate this problem, but also prevent the model from learning features from unlabeled data in low-confidence regions. …”
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Optimization of Table Tennis Swing Action Supported by the Temporal Convolutional Network Algorithm in Deep Learning by Shaoxuan Sun, Hongyu Zheng, Zhixin Lin

“…Additionally, the residual structure is fine-tuned to adapt to dynamic environmental features, thereby enhancing the model&#x2019;s capability to recognize swing actions. …”
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Conceptual Issues of Managing Non-Tax Revenues of the Budgets of Public Legal Entities by N. D. Magnitskiy, Yu. G. Tyurina

“…Insufficient study of the problem of managing non-tax revenues, in contrast to potential sources of tax revenues, the need to search for additional reserves for the growth of revenue sources of budgets at various levels determine the significance of this study. …”
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Conceptualization of the Subjective Image of Adulthood in the Semantic Space of a Linguistic Personality by Наталя Токарева, Анжеліка Шамне

“…The article is devoted to the analysis of the problem of cognitive-semantic modelling of the subjective image of adulthood by schoolchildren of adolescence in modern sociocultural space. …”
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THE IMPACT OF INTERNETTECHNOLOGIES ON THE POLITICAL SOCIALIZATION OF YOUNG PEOPLE by N. N. Pachina, D. D. Gorodova

“…The unlimited influence of Internet technologies on young people and on the process of their socialization and political socialization is a problem that needs to be resolved. The purpose of the article is to identify the impact of Internet technologies on the political socialization of young people. …”
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Learning deep forest for face anti-spoofing: An alternative to the neural network against adversarial attacks by Rizhao Cai, Liepiao Zhang, Changsheng Chen, Yongjian Hu, Alex Kot

“…To the best of our knowledge, this is the first attempt at exploiting the deep forest model in the problem of FAS, with the consideration of adversarial attacks.…”
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