Modelling the Impact of Argon Atoms on a WO₃ Surface by Molecular Dynamics Simulations by Shokirbek Shermukhamedov, Thana Maihom, Michael Probst

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ABOUT INTERRELATION OF THE EDUCATIONAL AND PROFESSIONAL STANDARDS by Mikhail S. Gasparian, Sergey A. Lebedev, Yuri F. Telnov

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Overview of Effects of Motor Learning Strategies in Neurologic and Geriatric Populations: A Systematic Mapping Review by Li-Juan Jie, PhD, Melanie Kleynen, PhD, Guus Rothuizen, MSc, Elmar Kal, PhD, Andreas Rothgangel, PhD, Susy Braun, PhD

“…Objective: To provide a broad overview of the current state of research regarding the effects of 7 commonly used motor learning strategies to improve functional tasks within older neurologic and geriatric populations. …”
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Ethernet Passive Mutual Authentication Scheme on Quantum Networks by Jianuo Tian, Panke Qin, Zongqu Zhao, Baodong Qin

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Endogenous IL-1 in cognitive function and anxiety: a study in IL-1RI-/- mice. by Carol L Murray, Pauline Obiang, David Bannerman, Colm Cunningham

“…Conversely, IL-1 has also been suggested to facilitate hippocampal-dependent learning and memory: IL-1RI(-/-) mice have been reported to show deficits on tasks of visuospatial learning and memory. …”
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A Novel Multisupervised Coupled Metric Learning for Low-Resolution Face Matching by Guofeng Zou, Guixia Fu, Xiang Peng

“…In this work, we defined a novel multisupervised objective function, which consists of a main objective function and an auxiliary objective function. …”
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Investigating the function of film screening in modern teaching of literary texts; Case study: Shahnameh education by mohammad kazem nazari ghare chomagh

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Novel Bounds for Incremental Hessian Estimation With Application to Zeroth-Order Federated Learning by Alessio Maritan, Luca Schenato, Subhrakanti Dey

“…In the second part of the paper we show a practical application of our results, introducing a novel optimization algorithm suitable for non-convex and black-box federated learning. The algorithm only requires clients to evaluate their local functions at certain input points, and builds a sufficiently accurate estimate of the global Hessian matrix in a distributed way. …”
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Path Planning Method of Mobile Robot Using Improved Deep Reinforcement Learning by Wei Wang, Zhenkui Wu, Huafu Luo, Bin Zhang

“…Finally, the reward function combined with the artificial potential field method is designed to optimize the state-action space. …”
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Comparative characteristics of the separate morphological and functional state indicators of the organism of modern students (Part 1) by A.N. Gerasevich, L.A. Shytov, E.M. Shytova, V.S. Bokovets, Y.I. Schenovsky, T.A. Gmir, E.G. Parkhots

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Examining the Impact of Different Periodic Functions on Short-Term Freeway Travel Time Prediction Approaches by Xu Miao, Bing Wu, Yajie Zou, Lingtao Wu

“…However, very few studies have comprehensively evaluated the impacts of different periodic functions on statistical and machine learning models. …”
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Trust-based Routing Optimization using Learning Automata in Wireless Sensor Network by Maryam Hajiee, Mehdi Fartash, Nafiseh Osati Eraghi

“…This paper presents an energy-aware and trusted-based routing method using learning automata and an evaluation function. Learning automata identifies trusted nodes (to send data) and malicious nodes using the corresponding evaluation function. …”
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Educational multimedia design principles affect local and global information processing in functional brain networks by Mohammadhossein Ostadi, Masoumeh Golmohamadian, Alireza Bosaghzadeh, S. Hamid Amiri, Reza Ebrahimpour

“…However, the complex cognitive processes involved in multimedia learning present challenges for understanding its neural mechanisms. …”
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Meta-Reinforcement Learning reconciles surprise, value, and control in the anterior cingulate cortex. by Tim Vriens, Eliana Vassena, Giovanni Pezzulo, Gianluca Baldassarre, Massimo Silvetti

“…Here we propose a novel hypothesis on dACC function that integrates both the monitoring and the cognitive control perspectives in a unifying, meta-Reinforcement Learning framework, in which cognitive control is optimized by meta-learning based on tracking Bayesian surprise. …”
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Solving the Control Synthesis Problem Through Supervised Machine Learning of Symbolic Regression by Askhat Diveev, Elena Sofronova, Nurbek Konyrbaev

“…Initially, the optimal control problem is solved from each point in a given set of initial states, resulting in a collection of control functions expressed as functions of time. A reference model is then integrated into the control object model, which generates optimal motion trajectories using the derived optimal control functions. …”
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Striatal FoxP2 is actively regulated during songbird sensorimotor learning. by Ikuko Teramitsu, Amy Poopatanapong, Salvatore Torrisi, Stephanie A White

“…We previously found parallel FoxP2 expression patterns in human and songbird cortico/pallio-striatal circuits important for learned vocalizations, suggesting that FoxP2's function in birdsong may generalize to speech.…”
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I Got Rhythm and Executive Function, Memory, and More: The Automated Test of Embodied Cognition (ATEC) by Morris D. Bell, Yarani Gonzalez, Andrea J. Weinstein, David Ciosek, Yan Wang, Gihyun Yoon

“…At-risk participants were also administered standard measures of executive functioning (EF), verbal list-learning, story memory, visual memory, and pre-morbid IQ. …”
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Event-triggered iterative learning control for output constrained multi-agent systems. by Wei Cao, Huanhuan Li, Jinjie Qiao, Yi Zhu

“…Then, the event-triggered iterative learning control algorithm is constructed using the estimated PPD, the trigger condition and the measurement error, and the convergence of the algorithm is proved by using the Lyapunov function, and the proposed algorithm can make the output constrained multi-agent system consistently and completely tracking on the desired trajectory without the need of real-time communication conditions. …”
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EDUCATIONAL FUNCTIONS OF STUDENTS’ CREATIVE WORK IN PRIMARY SCHOOL SERBIAN LANGUAGE CLASSES: TEACHERS’ PERSPECTIVE by Iva Medojević, Jelena Stevanović, Zorica Cvetanović

“…The aim of this study was to examine teachers’ opinions on the educational functions of creative work in primary school Serbian language classes, as such work contributes to the successful implementation of the teaching process across all subject areas (Initial Reading and Writing, Language, Literature, Language Culture) within the Serbian language curriculum, as well as in other school subjects at all levels of formal education and lifelong learning. …”
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Analysis of Learning Curve in Robot-Assisted Radical Prostatectomy Performed by a Surgeon by Roman I. Slusarenco, Konstantin V. Mikheev, Artem O. Prostomolotov, Roman B. Sukhanov, Evgeny A. Bezrukov

“…This study aimed to report the learning curve in robot-assisted radical prostatectomy (RARP) performed by one surgeon who is experienced in laparoscopic prostatectomies. …”
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