Features of the development of coordination abilities in young schoolchildren by Dmytro Morozov, Iryna Kryventsova, Katarzyna Prusik

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Methods for Cognitive Diagnosis of Students’ Abilities Based on Keystroke Features by Xu Chi, Xinyu Guo, Yu Sheng

“…Research combined with keystroke features is still in its initial stage. Due to the independence and discreteness of keystroke data, and the lack of a clear requirement for the selection of the number of clusters in traditional clustering algorithms, this selection is rather arbitrary, and outliers will affect the clustering effect. …”
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Convection-Permitting Ability in Simulating an Extratropical Cyclone Case over Southeastern South America by Matheus Henrique de Oliveira Araújo Magalhães, Michelle Simões Reboita, Rosmeri Porfírio da Rocha, Thales Chile Baldoni, Geraldo Deniro Gomes, Enrique Vieira Mattos

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Ability of Human Auditory Perception to Distinguish Human-Imitated Speech by Khalid Zaman, Kai Li, Islam J. A. M. Samiul, Yasufumi Uezu, Shunsuke Kidani, Masashi Unoki

“…Additionally, a feasibility study was conducted using two feature sets for machine classification; among the timbral features, boominess and depth performed best with accuracies of 62% and 60%, respectively, while general features like Mel-spectrograms reached 51%. …”
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Study on Quantitative Evaluation Method of Balance Ability in Cancer Patients Based on Gait Features by Junjie LIU, Xu ZHOU, Chao YU, Qingqing CAO, Zhiming YAO, Wanqiu ZHANG, Ling ZHANG, Wanqing YAO, Ning LIN

“…A method for evaluating balance ability based on gait features is proposed, providing a quantitative tool for personalized rehabilitation interventions in cancer patients.…”
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Features of Biogenesis of Vesicles of External Membranes of Microorganisms, theirImmunogenic, Protective and Adjuvant Ability by N. D. Omelchenko, I. A. Ivanova, O. V. Duvanova, E. V. Shipko, A. V. Filippenko, A. A. Trufanova

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Perceptual and semantic maps in individual humans share structural features that predict creative abilities by Johannes P.-H. Seiler, Jonas Elpelt, Aida Ghobadi, Matthias Kaschube, Simon Rumpel

“…While recently specific structural features of semantic representational maps were linked with creative abilities of individual humans, it remains unclear if these features are also shared on lower level, perceptual maps. …”
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Direct DLP-based 3D-printing of metallopolymers featuring shape-memory abilities by Michael Klein, Michael F. Agyemang, Oswald Müschke, Michael Schmitt, Jürgen Popp, Martin D. Hager, Stefan Zechel, Ulrich S. Schubert

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MRA-YOLOv8: A Network Enhancing Feature Extraction Ability for Photovoltaic Cell Defects by Nannan Wang, Siqi Huang, Xiangpeng Liu, Zhining Wang, Yi Liu, Zhe Gao

“…This module provides finer-grained multi-scale features, improving feature extraction from complex backgrounds and enhancing the model’s robustness. …”
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Correlations between Intellectual Abilities and Features of the Motivational-Emotional Sphere in College-Age Boys and Girls by I.Yu. Churikov, E.S. Kagan, I.S. Morozova

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Sleep problems and sensory features in children with low-average cognitive abilities and autism spectrum disorder by Sumie Iwasaki, Yuko Yoshimura, Chiaki Hasegawa, Sanae Tanaka, Takashi Ikeda, Ken Yaoi, Tetsu Hirosawa, Mitsuru Kikuchi

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The level of students’ physical development depending on the ethno-territorial variability of morpho-functional features by Iryna Ivanyshyn, Igor Vypasniak, Sergii Iermakov, Wladyslaw Jagiello, Tetiana Yermakova, Vasyl Lutskyi, Oleh Vintoniak, Irina Kriventsova

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Design and examination of psychometric features of sports intelligence measurement tool by sara abbasi, Enayatollah Zamanpour, saeed Arsham

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Improving the Extraction Ability of Thermospheric Mass Density Variations From Observational Data by Deep Learning by Wenbo Li, Libo Liu, Yiding Chen, Zhuowei Xiao, Huijun Le, Ruilong Zhang

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Machine Learning-Driven Prediction of Glass-Forming Ability in Fe-Based Bulk Metallic Glasses Using Thermophysical Features and Data Augmentation by Renato Dario Bashualdo Bobadilla, Marcello Baricco, Mauro Palumbo

“…In this study, we developed machine learning (ML) models to predict the critical casting diameter (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>D</mi><mrow><mi>m</mi><mi>a</mi><mi>x</mi></mrow></msub></semantics></math></inline-formula>) of Fe-based BMGs, enabling rapid assessment of glass-forming ability (GFA) using composition-based and calculated thermophysical features. …”
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Phytobacter sp. RSE02 is a rice seed endophytic plant probiotic bacterium with human probiotic features and cholesterol-lowering ability by Santosh Kumar Jana, Rajarshi Bhattacharya, Sunanda Mukherjee, Samudra Gupta, Subhra Prakash Hui, Ansuman Chattopadhyay, Swadesh Ranjan Biswas, Sukhendu Mandal

“…RSE02, which demonstrates distinctive beneficial probiotic features in animal models. We examine the safety and probiotic potential of RSE02 in human cell lines, zebrafish, and mice. …”
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Features of University Teachers’ Communicative-Speaking Competence by Olga Korniyaka

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Features of body balance in 12-year-old schoolchildren with visual deprivation compared to their relatively healthy peers by Bozhena Bukhovets, Vitalii Kashuba, Boris Dolinskiy, Olena Pogorelova, Volodymyr Boboshko

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Electronic Library Systems in the Focus of Digital Didactics and Cognitive Features of the Digital Generation by N. I. Gendina, E. V. Kosolapova

“…Representatives of this digital generation are integrated into digital society from their birth, so they have views, attitudes and values that differ from the worldview of older generations. The distinctive features and problems of developing the cognitive abilities of Z generation are considered. …”
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GA-TongueNet: tongue image segmentation network using innovative DiFP and MDi for stable generalization ability by Zhiyu Dong, Le Zhao, Yajun Fan, Haihua Ma, Changle Shao, Yiran Zhang, Peng Li

“…In this article, a GA-TongueNet, namely Tongue Segmentation Network for Stable Generalization Ability, based on self-attention architecture is proposed, which is a tongue segmentation network that can simultaneously have strong generalization ability and accuracy under small samples and diverse background conditions. …”
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