Correction to: Welldeveloped spatial reversal learning abilities in harbor seals (Phoca vitulina) by Benedikt Niesterok, Shanie Martin, Lisa Hildebrand, Guido Dehnhardt, Frederike D. Hanke

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Utilization of Project Kind-Er (Engagement in Reading) to Strengthen the Foundation of Learning in Kindergarten by Ma. Benilda Ricaplanca, Mart Albert De Guzman, Christian Bautista

“…This study aimed to determine the effects of introducing one letter per week and another in the subsequent weeks, thereby creating a more engaging learning environment without overwhelming the pupils with two letters at once. …”
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An optimized data analytics pipeline for improving healthcare diagnosis using ensemble learning by Lomat Haider Chowdhury, Shaira Tabassum, Swakkhar Shatabda, Ashir Ahmed

“…Big data and machine learning are already in use to contribute to the healthcare diagnosis sector with the available data which is enormously growing through the digitalization of the system. …”
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Harnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT by Mateusz Koziński, Doruk Oner, Jakub Gwizdała, Catherine Beigelman-Aubry, Pascal Fua, Angela Koutsokera, Alessio Casutt, Argyro Vraka, Michele De Palma, John-David Aubert, Horst Bischof, Christophe von Garnier, Sahand Jamal Rahi, Martin Urschler, Nahal Mansouri

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Machine learning and facial recognition for down syndrome detection: A comprehensive review by Khosro Rezaee

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Deep Learning Approach for Automatic Classification of Ocular and Cardiac Artifacts in MEG Data by Ahmad Hasasneh, Nikolas Kampel, Praveen Sripad, N. Jon Shah, Jürgen Dammers

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The Effectiveness of Android-Based Thematic Learning E-Modules in Increasing Student Motivation by Syaharullah Disa, Sitti Arni, Marnia

Subjects: “…e-module interactive learning…”
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Improving EFL ninth graders’ reading comprehension through thieves learning strategy by Yenny Asmarni, Wisma Yunita, Dedi Sofyan

“…Especially at school, the teachers need to enrich the strategy in teaching and learning process. The objectives of this study were to find out 1) the improvement of students’ reading comprehension of the ninth grade (IXC) of SMPN 13 North Bengkulu, 2) some factors influence the change of students’ reading comprehension at the ninth grade (IX C) of SMPN 13 North Bengkulu. …”
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Intelligent System of Somatosensory Music Therapy Information Feedback in Deep Learning Environment by Nan Zhao

“…There is an inaccuracy problem in electrogram judgment, and deep learning has great advantages in signal feature extraction and classification. …”
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Deep Learning-Based Energy Consumption Prediction Model for Green Industrial Parks by Chaoan Lai, Yina Wang, Jianhua Zhu, Xuequan Zhou

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Digital Recruitment Using Intelligent Dialogue Systems Based on Machine Learning Principles by I. N. Kalinouskaya

“…The article suggests the technology of implementation of digital recruiting by Belarusian companies; the method of evaluation of candidates' CVs is given; the method of conducting preliminary interviews with the use of intelligent dialog systems based on the principles of machine learning is given; the example of using the chat-bot in the process of selection and evaluation of candidates is considered; the advantages of digital recruitment over the classical methods of personnel recruitment are specified.…”
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Evaluation of Prediction Performances of Deep Learning Models for the Aerodynamic Characteristics of Flettner Rotors by Seo Janghoon, Park Jung Yoon, Ma Juhwan, Kim Young Bu, Park Dong-Woo

Subjects: “…deep learning model…”
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A Deep Learning-Based Approach to Enable Action Recognition for Construction Equipment by Jinyue Zhang, Lijun Zi, Yuexian Hou, Mingen Wang, Wenting Jiang, Da Deng

“…The contributions of this research are as follows: (1) the development of a comprehensive video dataset of 2,064 clips with five action types for excavators and dump trucks; (2) a new deep learning-based CEAR approach (known as a simplified temporal convolutional network or STCN) that combines a convolutional neural network (CNN) with long short-term memory (LSTM, an artificial recurrent neural network), where CNN is used to extract image features and LSTM is used to extract temporal features from video frame sequences; and (3) the comparison between this proposed new approach and a similar CEAR method and two of the best-performing HAR approaches, namely, three-dimensional (3D) convolutional networks (ConvNets) and two-stream ConvNets, to evaluate the performance of STCN and investigate the possibility of directly transferring HAR approaches to the field of CEAR.…”
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Girls leading the conversation: harnessing the potential of podcasting for informal and project-based learning by Marc T. Sager, Saki Milton, Candace Walkington

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MeTa Learning-Based Optimization of Unsupervised Domain Adaptation Deep Networks by Hsiau-Wen Lin, Trang-Thi Ho, Ching-Ting Tu, Hwei-Jen Lin, Chen-Hsiang Yu

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Relationship between Cognitive Learning Psychological Classification and Neural Network Design Elements by Xing Yang, Tingjun Yong, Meihua Li, Wenying Wang, Huichun Xie, Jinping Du

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Examining Google Classroom-assisted blended learning in Indonesian EFL grammar classes by Nur Muthmainnah

Subjects: “…blended learning…”
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Deep Learning-Based Crack Monitoring for Ultra-High Performance Concrete (UHPC) by Dongling Wu, Hongxiang Zhang, Yiying Yang

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Student’s self-confidence in practicing speaking during online learning: up or down? by Rozy Khanafiyah, Reza Adinul Akbar, Dewi Puspitasari

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Contributions of Matrix Metalloproteinases to Neural Plasticity, Habituation, Associative Learning and Drug Addiction by John W. Wright, Joseph W. Harding

“…However, our knowledge concerning the precise spatial and temporal relationships among the mechanisms of neural plasticity, habituation, associative learning, and memory consolidation is far from complete and the possibility that these phenomena mediate drug addiction is a new direction of research.…”
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