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  1. 3341

    Overcoming or overstepping? Boundary infrastructure for learning in the context of continuous improvement research-practice partnership by Angel X. Bohannon, Caitlin C. Farrell, Spencer Cook

    Published 2025-01-01
    “…Then we describe how the county office of education created important opportunities for learning through a boundary infrastructure: the network of people, practices, and objects that supported the movement of ideas between research, practice, and CI communities.DiscussionWe highlight the possibilities of county offices as critical actors in CI efforts. …”
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    Retracted: Efficiency Analysis of Machine Learning Intelligent Investment Based on K-Means Algorithm by Liang Li, Jia Wang, Xuetao Li

    Published 2020-01-01
    “…The results show that the machine learning based on K-means algorithm makes a concrete analysis of the investment efficiency of Capricorn Smart Investment, this method can also be used for the efficiency analysis of other smart investment products.…”
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    Response to Novelty Correlates with Learning Rate in a Go/No-Go Task in Göttingen Minipigs by Nanna Marie Lind, Anette Moustgaard

    Published 2005-01-01
    “…Novelty-seeking and harm-avoidance personality traits influence Go/No-go (GNG) learning in humans. Animal studies have also indicated a link between response to novelty and spatial discrimination learning. …”
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  11. 3351

    Essential nuances of translation English proper names in the process of learning a foreign language by Ekaterina A. Pertsevaya

    Published 2020-03-01
    “…The English language seems difficult to learn precisely because its lexical units have some similarities with the words of the Russian language, and as the result, are translated incorrectly. …”
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    Developing Train Station Parking Algorithms: New Frameworks Based on Fuzzy Reinforcement Learning by Wei Li, Kai Xian, Jiateng Yin, Dewang Chen

    Published 2019-01-01
    “…To increase the parking accuracy, robustness, and self-learning ability, we propose new train station parking frameworks by using the reinforcement learning (RL) theory combined with the information of balises. …”
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  19. 3359

    Deep Learning for an Innovative Photo Energy Model to Estimate the Energy Distribution in Smart Apartments by Komala C R, S. Vimal, G. Ravindra, P. Hariramakrishnan, Shaik Razia, S. Geerthik, K. Raja, V. Mohanavel, Nedumaran Arappali

    Published 2022-01-01
    “…In this paper, an energy distribution model was proposed to estimate the photo energy with the help of deep learning model. A small apartment not only uses less energy but also requires lower construction costs. …”
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