Low-cost synthetic model for skin flap training by Arthur Antunes Coimbra Pinheiro Pacífico, Aline Santos Correia, Bárbara Matos de Carvalho Borges, Mateus Bonfim Costa, Mateus Pinheiro Fernandes Feitosa Arrais, Samy Lima Carneiro, Thiago Maciel Valente, Nelson Gurgel Simas de Oliveira

“…The importance of low-cost and easy-to-execute models, such as the above, is emphasized to facilitate the learning of students interested in the subject, seeking to fulfill the educational function without breaking ethical principles. …”
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A Generalized Method for Sentiment Analysis across Different Sources by Abubakar M. Ashir

“…The features are merged together using a combining function for a given text before being used to train a machine learning classifier. …”
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Application of a digital footprint of educational intelligent technologies by L. Sh. Bagdasaryan, A. H. Ardeev, T. A. Kulikova, N. A. Poddubnaya

“…The following educational tasks can be solved with the analysis of the digital footprint of AI systems: the creation of individual learning trajectories and adaptive learning, independent assessment of learning outcomes, organization of the educational process based on educational analytics, automation of communication. …”
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Routing algorithm for railway monitoring linear WSN based on improved PSO by Cuiran LI, Xuejie WANG, Jianli XIE, Anqi LYU

“…To solve the problems of short network lifetime and large data transmission delay, caused by unbalanced node energy consumption of linear wireless sensor network in railway monitoring scenario, a routing algorithm based on particle swarm optimization theory and breadth first search was proposed.The fitness function was constructed based on the relative energy consumption, spacing and load of candidate cluster heads.The local search ability of particle swarm algorithm was enhanced by adjusting the inertia weight coefficient to set up the cluster head optimal set.Meanwhile, a path cost function driven by energy consumption and delay was built up, and the optimal main path from the source node to the sink node was obtained by breadth first search.Lastly, a Q-learning alternative path updating and route maintenance mechanism based on discrete Markov decision process (MDP) was designed.Simulation results show that the proposed algorithm can balance the node energy consumption effectively, and has also advantages in prolonging the network lifetime and reducing the data transmission delay.…”
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A Hardware Design of Neuromolecular Network with Enhanced Evolvability: A Bioinspired Approach by Yo-Hsien Lin, Jong-Chen Chen

“…The experimental result showed that the artificial neuromolecularware exhibited a close structure-function relationship, possessed several evolvability-enhancing features combined to facilitate evolutionary learning, and was capable of functioning continuously in the face of noise.…”
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Day-Ahead Wind Speed Forecasting Using Relevance Vector Machine by Guoqiang Sun, Yue Chen, Zhinong Wei, Xiaolu Li, Kwok W. Cheung

“…We combine Gaussian kernel function and polynomial kernel function to get mixed kernel for RVM. …”
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Scale-free behavior of weight distributions of connectomes by Michelle Cirunay, Géza Ódor, István Papp, Gustavo Deco

“…To determine the precise link between anatomical structure and function, brain studies primarily concentrate on the anatomical wiring of the brain and its topological properties. …”
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Development of Digital Training Twins in the Aircraft Maintenance Ecosystem by Igor Kabashkin

“…A modular orchestration engine incorporates reinforcement learning agents for policy refinement, federated learning for privacy-preserving skill analytics, and knowledge graph-based curriculum models for dependency management. …”
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PSYCHOLOGICAL FEATURES OF MORAL EDUCATION by Baktybay kyzy S.

“…The significance of instilling ethical values, moral awareness, and motivation in children within the framework of school and family is also highlighted.The article notes that education in modern schooling is the second main function of child socialization, following learning. …”
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Control of Overfitting with Physics by Sergei V. Kozyrev, Ilya A. Lopatin, Alexander N. Pechen

“…While there are many works on the applications of machine learning, not so many of them are trying to understand the theoretical justifications to explain their efficiency. …”
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Pendekatan Sosiologi dalam Model Pembelajaran Smart Classroom di Sekolah by Edi Gunarto, Asep Mulyana

“…To shed light on sociology's function in managing Islamic educational institutions, an article must be offered on the topic of the sociological approach to smart classroom management. …”
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FROM NOVICE TO FLUENT by BELAID LOUIZA

“…The main objective is to unveil the challenges that pupils face when learning a foreign language and to investigate the function of psycholinguistic techniques in improving the social and communication skills of young learners, enabling them to be self-regulated and autonomous. …”
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Associative conditioning in gene regulatory network models increases integrative causal emergence by Federico Pigozzi, Adam Goldstein, Michael Levin

“…Abstract How does learning affect the integration of an agent’s internal components into an emergent whole? …”
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Characterising the influence of cerebellum on the neuroplastic modulation of intracortical motor circuits. by George M Opie, John G Semmler

“…The cerebellum (CB) has extensive connections with both cortical and subcortical areas of the brain, and is known to strongly influence function in areas it projects to. In particular, research using non-invasive brain stimulation (NIBS) has shown that CB projections to primary motor cortex (M1) are likely important for facilitating the learning of new motor skills, and that this process may involve modulation of late indirect (I) wave inputs in M1. …”
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Modeling Collective Behavior for Fish School With Deep Q-Networks by Pengyu Chen, Fang Wang, Shuo Liu, Yifan Yu, Shengzhi Yue, Yanan Song, Yuanshan Lin

“…An individual’s action is represented with discretized turning angle. Then, the reward function is constructed with the change in the number of neighbors. …”
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Cntnap2 loss drives striatal neuron hyperexcitability and behavioral inflexibility by Katherine R Cording, Emilie M Tu, Hongli Wang, Alexander HCW Agopyan-Miu, Helen S Bateup

“…CNTNAP2 is a syndromic ASD risk gene, and loss of function of Cntnap2 in mice is associated with RRBs. …”
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Adaptive gradient scaling: integrating Adam and landscape modification for protein structure prediction by Vitalii Kapitan, Michael Choi

“…Performance was evaluated using Loss function values, predicted Local Distance Difference Test (pLDDT), distance-based Root Mean Square Deviation (dRMSD), and Template Modeling (TM) scores. …”
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Consensus-based optimisation with truncated noise by Massimo Fornasier, Peter Richtárik, Konstantin Riedl, Lukang Sun

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Condition Monitoring of Chain Sprocket Drive System Based on IoT Device and Convolutional Neural Network by Sang Kwon Lee, Jiseon Back, Kanghyun An, Sunwon Kim, Changho Lee, Pungil Kim

“…To detect the fault signals during the CSD system operation, the vibration was measured using an Internet of Things (IoT) device, which features a wireless MEMS accelerometer, Bluetooth function, Wi-Fi function, and battery. The IoT device was mounted on the gearbox housing. …”
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A growth posture identification method of immature peaches in natural environments by Jidong Lv, Liangliang Niu, Ying Han, Xiaoqin Sun, Lingyun Wang, Hailong Rong, Ling Zou

“…Firstly, the self-training method and data enhancement in semi-supervised learning were used to generate efficient pseudo-label data. …”
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