Collaborative Language Learning in Teletandem: A Resource for Pre-Service Teacher Education by Ana Cristina Biondo Salomã

“…Based on the reflective teaching paradigm and collaborative language learning, with special emphasis on tandem learning, we analyzed the contributions of the collaborative relationship established between the graduate student and the student-teacher in her first teaching experience. …”
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Peer Interaction: A Social Perspective towards the Development of Foreign Language Learning by July Carolina Gómez Lobatón

“…This pedagogical innovation aims at discovering new ways of interaction that go beyond the unidirectional relationship that is presented in the classrooms most of the times. The innovation considers peers to be active agents in the construction of knowledge and proposes new ways to arrange groups in the classroom so that the arrangement can certainly contribute in the development of students' language learning process in a context in which English is not a priority. …”
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Universal screening for developmental dysplasia of the hip in Austria: what have we learned? by Tanja Kraus, Catharina Chiari

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A Deep Learning-Driven Solution to Limited-Feedback MIMO Relaying Systems by Kwadwo Boateng Ofori-Amanfo, Bridget Durowaa Antwi-Boasiako, Prince Anokye, Suho Shin, Kyoung-Jae Lee

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Design of Iterative Learning Control Method with Global Convergence Property for Nonlinear Systems by Guang-Wei Xu, Cheng Shao, Yu Han

“…Besides, we discuss the roles of parameters in iterative learning law for algorithm realization, and a nonlinear case study is presented to demonstrate the effectiveness and tracking performance of the proposed algorithm.…”
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Design of cross-reactive antigens with machine learning and high-throughput experimental evaluation by Chelsy Chesterman, Thomas Desautels, Luz-Jeannette Sierra, Kathryn T. Arrildt, Adam Zemla, Edmond Y. Lau, Shivshankar Sundaram, Jason Laliberte, Lynn Chen, Aaron Ruby, Mark Mednikov, Sylvie Bertholet, Dong Yu, Kate Luisi, Enrico Malito, Corey P. Mallett, Matthew J. Bottomley, Robert A. van den Berg, Daniel Faissol

“…The vast number of potential antigen mutants presents a significant challenge for improving fHbp antigenicity. …”
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Recent advances in machine learning for defects detection and prediction in laser cladding process by X.C. Ji, R.S. Chen, C.X. Lu, J. Zhou, M.Q. Zhang, T. Zhang, H.L. Yu, Y.L. Yin, P.J. Shi, W. Zhang

“…Presently, supervised learning algorithms dominate the landscape of research, yet the potential of unsupervised and semi-supervised learning algorithms, with their diminished data annotation requirements, garners increasing attention within the realm of laser cladding process monitoring. …”
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A Water Futures Approach on Water Demand Forecasting with Online Ensemble Learning by Dennis Zanutto, Christos Michalopoulos, Georgios-Alexandros Chatzistefanou, Lydia Vamvakeridou-Lyroudia, Lydia Tsiami, Konstantinos Glynis, Panagiotis Samartzis, Luca Hermes, Fabian Hinder, Jonas Vaquet, Valerie Vaquet, Demetrios Eliades, Marios Polycarpou, Phoebe Koundouri, Barbara Hammer, Dragan Savić

“…This study presents a collaborative framework developed by the Water Futures team of researchers for the “Battle of the Water Demand Forecasting” challenge at the 3rd International WDSA-CCWI Joint Conference. …”
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Article 700 Identification in Judicial Judgments: Comparing Transformers and Machine Learning Models by Sid Ali Mahmoudi, Charles Condevaux, Guillaume Zambrano, Stéphane Mussard

“…Predictive justice, which involves forecasting trial outcomes, presents significant challenges due to the complex structure of legal judgments. …”
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Application of Machine Learning Algorithms in Real-Time Monitoring of Conveyor Belt Damage by Damian Bzinkowski, Miroslaw Rucki, Leszek Chalko, Arturas Kilikevicius, Jonas Matijosius, Lenka Cepova, Tomasz Ryba

“…An initial assessment of the machine learning application to the load identification was made. …”
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Optimizing EV charging stations and power trading with deep learning and path optimization. by Qing Zhu

“…This study proposes an integrated framework combining deep learning, reinforcement learning, path optimization, and power trading strategies to address these challenges. …”
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SIGECAH as a tool for the collaborative learning of Social Sciences in Andalusian Secondary Schools by Ángel Ignacio Aguilar Cuesta

“…In order to make knowledge accessible and to turn students into active agents inside the classrooms of Andalusian Secondary Schools, we present an open didactical proposal for the Social Sciences: Geography and History. …”
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Bitcoin Trend Prediction with Attention-Based Deep Learning Models and Technical Indicators by Ming-Che Lee

“…This study presents a comparative analysis of two advanced attention-based deep learning models—Attention-LSTM and Attention-GRU—for predicting Bitcoin price movements. …”
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Commentary on the special issue on ability beliefs and learning a new language at school by Aek Phakiti

“…This article considers and responds to various ability belief constructs that the authors have presented, such as self-efficacy, self-concepts, and mindsets, as well as factors that contribute to the operation of these constructs in language learning. …”
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Identifying High-Risk Workspaces during COVID-19 using Machine Learning by Lex Drennan, Matthew Chesser, Jorge Lozano, Erin Carrier

“…While necessary, quarantine and social distancing requirements have left many companies unable to reopen their offices in a safe manner. We present a model capable of identifying workspaces at high risk for COVID-19 disease transmission and illustrate how existing techniques for quantifying uncertainty in machine learning can be applied to assess the reliability of these predictions. …”
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A Brief Survey on Deep Learning-Based Temporal Knowledge Graph Completion by Ningning Jia, Cuiyou Yao

“…In order to understand the current research status of TKGC methods based on deep learning and promote further development in this field, in this paper, for the first time, we summarize the deep learning-based methods in TKGC research. …”
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A Work-Integrated Learning Framework: the what, where and how of evaluating WIL by Karen Young, Sophie McKenzie, Jill Thomas

“…Through a case study at Deakin University, we present our approach for evaluating Work-Integrated Learning (WIL) during a pilot of a WIL Evaluation Framework (WEF). …”
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SIGECAH as a tool for the collaborative learning of Social Sciences in Andalusian Secondary Schools by Ángel Ignacio Aguilar Cuesta

“…In order to make knowledge accessible and to turn students into active agents inside the classrooms of Andalusian Secondary Schools, we present an open didactical proposal for the Social Sciences: Geography and History. …”
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Factors’ learning motivation dynamics in training course: a study with students in Kazakhstan by Maral K. Omarova, Natalya V. Mirza

“…The article demonstrates the relevance of the presented topic, draws attention to the problem of low learning motivation among students, poor quality study of training courses, and the need to consider the dynamics of learning motivation among students during their development. …”
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Deep learning autoencoder approach: Automatic recognition of artistic Arabic calligraphy types by Rami Al-Hmouz

“…In this study, a deep learning approach to recognizing artistic Arabic calligraphy types is presented. …”
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