Sensory integration research: priority scientific directions based on the analysis of Web of Science Core Collection resources by Olha Podrihalo, Wladyslaw Jagiello, Guo Xiaohong, Leonid Podrigalo, Tetiana Yermakova, Miroslawa Cieslicka

“…The works reflect studies of sensorimotor integration, the study of movement features, and coordination and control of movement at different levels. …”
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Key Characteristics and Examples of Digital Educational Content for an International Online Platform by Olesya V. Berseneva, Elena G. Doroshenko, Pavel S. Lomasko, Irina V. Trusey

“…The study used an integrated approach, including a theoretical analysis of scientific and pedagogical literature on the problem of developing digital educational content, a comparative analysis of leading international educational platforms according to criteria of coverage, the number of active users and the availability of Russian language courses. …”
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Psychometric properties of the Reward Deficiency Syndrome Questionnaire among a non-clinical sample and its relationship with the characteristics of potentially addictive behaviors by Eszter Kotyuk, Zsolt Demetrovics, Róbert Urbán, Andrea Czakó, Kenneth Blum, Mark D. Griffiths, Marc N. Potenza, Yaniv Efrati

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Semantic classification of Indonesian consumer health questions by Raniah Nur Hanami, Rahmad Mahendra, Alfan Farizki Wicaksono

“…One way to solve this problem is by developing an automatic QA system that can provide patients with quicker answers. …”
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Managerial focus of a regional vocational education and training system on the needs of socio-economic development by S. Yu. Alasheev, T. G. Kuteinitsyna, N. Yu. Postalyuk, V. A. Prudnikova

“…The present research aimed to establish the features of the targeted managerial focusing of the activities of the regional VET systems on the needs of the socio-economic development of the constituent entity of the Russian Federation.Methodology and research methods. …”
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THE IMAGE OF THE WORLD AND THE IMAGE OF THE HUMAN: A.S. BYATT’S “ANGELS AND INSECTS” AS AN ARTISTIC WHOLE by Elena S. Annenkova

“…They are closely related by common problems, expressed through a series of antinomical oppositions: soul and body, life and death, spiritual and material, earthly and heavenly, male and female. …”
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Research on Correction Method of pin-by-pin Homogenization Environmental Effect of PWR Based on Machine Learning by LI Tianya1, 2, , LUO Qi3, , YAO Dong2, HE Caiyun1, CHAI Xiaoming2, CAI Yun2, ZHANG Bin2, ZHANG Hongbo2, LIAO Hongkuan1, DUAN Yongqiang1

“…By analyzing the machine learning model’s feature sensitivity, the combination features of pin material, location, surrounding assembly, energy spectrum, and leakage-related information were determined. …”

Sanctions in Sport: The Relationship Between Legal and Local Regulation (Sanciones en el deporte La relación entre la regulación legal y local ) by Inna Bolokan, Georgiy Samoylenko, Maxym Tkalych, Bogdan Panchenko, Volodymyr Dmytriv

“…As a result of the work, the general features of legal regulation of sports sanctions in foreign countries were established, the terminology and conceptual schemes fundamental for legal doctrine were analyzed, the description of the state of research of the problem in the scientific environment is given, the national situation on responsibility in the field of sports is analyzed, typical examples of court cases in the researched aspect are specified, and also recommendations on improvement of the legal base are given.  …”
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Fast Global and Local Semi-Supervised Learning via Matrix Factorization by Yuanhua Du, Wenjun Luo, Zezhong Wu, Nan Zhou

“…It is worth noting that by utilizing tag information, the proposed symmetric matrix factorization becomes convex and unconstrained, i.e., the non-convex problem <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mo movablelimits="true" form="prefix">min</mo><mi>x</mi></msub><msup><mrow><mo>(</mo><mn>1</mn><mo>−</mo><msup><mi>x</mi><mn>2</mn></msup><mo>)</mo></mrow><mn>2</mn></msup></mrow></semantics></math></inline-formula> is transformed into a convex problem. …”
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Acoustic emission localization model of concrete material based on convolutional neural network by DENG Yongdong, ZHOU Jingren, LU Xiang, CHEN Jiangkang

“…Deep learning has a strong feature extraction capability and generalization ability. …”
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Peramalan Penjualan Produk Menggunakan Extreme Gradient Boosting (XGBoost) dan Kerangka Kerja CRISP-DM untuk Pengoptimalan Manajemen Persediaan (Studi Kasus: UB Mart) by Raihan Winurputra, Dian Eka Ratnawati

“…The Modeling phase involves testing feature selection to train the model that can deliver best performance. …”
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A Mobile Ecological Momentary Intervention for Reducing Experiential Avoidance in the Context of Rumination: Protocol for a Randomized Controlled Trial by Steven Barnes, Marta Szastok, Małgorzata Para, Fabian Morawiec, Maciej Grzeszczuk, Szymon Wójcik, Barbara Karpowicz, Pavlo Zinevych, Anna Jaskulska, Wiesław Kopeć, Monika Kornacka

“…The potential of the EMI to modify the maladaptive feature of repetitive negative thinking will be assessed using mixed-design ANOVA, while the links between avoidance-mood and rumination-mood, in terms of the moderating effect of trial condition, will be evaluated using multilevel models. …”
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Hadron Identification Prospects with Granular Calorimeters by Andrea De Vita, Abhishek, Max Aehle, Muhammad Awais, Alessandro Breccia, Riccardo Carroccio, Long Chen, Tommaso Dorigo, Nicolas R. Gauger, Ralf Keidel, Jan Kieseler, Enrico Lupi, Federico Nardi, Xuan Tung Nguyen, Fredrik Sandin, Kylian Schmidt, Pietro Vischia, Joseph Willmore

“…In this work we consider the problem of determining the identity of hadrons at high energies based on the topology of their energy depositions in dense matter, along with the time of the interactions. …”
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GRRIS: A Real-time Intrasite Observation Scheduling Scheme for Distributed Survey Telescope Arrays by Yajie Zhang, Ce Yu, Chao Sun, Yi Hu, Zhaohui Shang, Jizeng Wei, Xu Yang

“…It employs a graph neural network to learn node features that can embed the spatial structure of the observation scheduling. …”
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Model of superior semicircular canal dehiscence: asymmetrical vestibular dysfunction induces reversible balance impairment by Sean S. Hong, P. Ashley Wackym, P. Ashley Wackym, Damian J. Murphy, Eran Peci, Matthew Y. Kiel, Aaron Tucker, Nicolas L. Carayannopoulos, Shrivaishnavi C. Chandrasekar, Nikhil Suresh, Umut A. Utku, Justin D. Yao, Justin D. Yao, Todd M. Mowery, Todd M. Mowery

“…A feature that is unique in this model is that spontaneous resurfacing of the dehiscence occurs via osteoneogenesis without a subsequent intervention. …”
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A skin-interfaced three-dimensional closed-loop sensing and therapeutic electronic wound bandage by Xingcan Huang, Qiang Zhang, Yawen Yang, Lung Chow, Jie Ma, Guoqiang Xu, Fang Guo, Xinxin He, Zhiyuan Li, Guangyao Zhao, Jingyou Su, Guihuan Guo, Jiachen Wang, Yanli Jiao, Zhan Gao, Jiyu Li, Jingkun Zhou, Chun Ki Yiu, Jian Li, Yi Chen, Pengcheng Wu, Kuanming Yao, Yiming Liu, Dengfeng Li, Binbin Zhang, Hongwei Chu, Yue Hu, Ya Huang, Zhenlin Chen, Kangning Ren, Bo Fang, Rungong Yang, Heng Li, Xiaoming Tao, Xiaohui Ma, Xinge Yu

“…Abstract Chronic wound healing is a complex and long-standing problem, that has been a major and critical clinical concern around the world for years. …”
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Constructing segmentation method for wheat powdery mildew using deep learning by Hecang Zang, Hecang Zang, Congsheng Wang, Qing Zhao, Qing Zhao, Jie Zhang, Jie Zhang, Junmei Wang, Guoqing Zheng, Guoqing Zheng, Guoqiang Li, Guoqiang Li

“…The method combines ResNet and SENet to solve the abovementioned problem. Firstly, the attention mechanism module SENet is introduced into Swin-Unet, which can effectively capture global and local features in images and extract more important information about powdery mildew. …”
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Characteristics of the course of inflammatory bowel diseases among the residents of the Kabardino-Balkarian Republic by R.  Kh. Kazhaeva, P. S. Akhmedova, R. M. Aramisova, Z. A. Kambachokova, D. Kh. Kushkhova, Z. M. Nartokova, D. E. Osmanova, S. A. Teppeeva, A. Yu. Toguzaeva, K. A. Thazaplizhev, A. A. Gukova, I. A. Kalmykov

“…The study of regional features of the course and treatment of IBD will help improve the quality and efficiency of medical care for patients both at the inpatient and outpatient stages. …”
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SIDDA: SInkhorn Dynamic Domain Adaptation for image classification with equivariant neural networks by Sneh Pandya, Purvik Patel, Brian D Nord, Mike Walmsley, Aleksandra Ćiprijanović

“…In such cases, NN generalization can be reduced to a problem of learning more robust, domain-invariant features. …”
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Intelligent decision-making and regulation method of gas extraction “borehole-pipe network” system by Kai WANG, Dongxu WANG, Aitao ZHOU, Junwen ZHANG, Fangzhou SONG, Chang’ang DU, Yushuang HAO, Xihui FAN, Wei ZHAO

“…The results show that Long Short-Term Memory (LSTM) has the highest matching degree with gas extraction data features among the four prediction algorithms, and the improved Convolutional Neural Network- Long Short-Term Memory (CNN-LSTM) model can effectively improve the problem of LSTM over-reliance on time series. …”
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