Explanations in Pedagogical Interaction by Mark Romig, Alyson (Lal) Horan, Kelly Katherine Frantz

“…This forum explores one such action, explaining, within the context of pedagogical interaction due to its ubiquity and relevance to the project of teaching and learning. While every discipline seems to have developed critical and extensive guidance (e.g., in the form of manuals, textbooks, and curricula) on what should be taught and, by extension, explained, CA is uniquely positioned to shed light on the “how” of explanations as it shifts the analytical spotlight to how participants (e.g., students and teachers, tutees and tutors) make sense of and respond to each turn of talk. …”
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Artificial Intelligence (AI)-driven approach to climate action and sustainable development by Haein Cho, Emmanuel Ackom

“…An Artificial Intelligence (AI)-based approach is proposed in this study to explore the interconnectedness by applying machine learning classifier and natural language processing. …”
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Promoting sustainability training in future teachers through research workshops in the University Ecological Garden by Lourdes Aragón, Juan Casanova Correa

“…This paper describes a constructivist teaching-learning sequence framed within the University Ecological Garden through an enquiry-based strategy. …”
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Improved GOA-based fuzzy PI speed control of PMSM with predictive current regulation. by Taochang Li, Ang Li, Limin Hou

“…Subsequently, the fusion of Cauchy mutation and opposition-based learning, along with modifications to the optimal position, further improves the algorithm's ability to escape local optima. …”
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A New AILC for a Class of Nonlinearly Parameterized Systems with Unknown Delays and Input Dead-Zone by Jian-ming Wei, Yun-an Hu, Mei-mei Sun

“…This paper presents an adaptive iterative learning control (AILC) scheme for a class of nonlinear systems with unknown time-varying delays and unknown input dead-zone. …”
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Defending Deep Neural Networks Against Backdoor Attack by Using De-Trigger Autoencoder by Hyun Kwon

“…Experiments were conducted using MNIST, Fashion-MNIST, and CIFAR-10 as the experimental datasets and TensorFlow as the machine learning library. For MNIST, Fashion-MNIST, and CIFAR-10, respectively, the proposed method detected 91.5%, 82.3%, and 90.9% of the backdoor samples and had 96.1%, 89.6%, and 91.2% accuracy on legitimate samples.…”
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Emerging Roles of Immune Cells in Postoperative Cognitive Dysfunction by Yue Liu, Yiqing Yin

“…Neurons in the hippocampus, which is responsible for learning and memory, can be damaged by cytokines transmitted to the brain parenchyma. …”
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GazeNet: A lightweight multitask sclera feature extractor by Matej Vitek, Vitomir Štruc, Peter Peer

“…Thus, we demonstrate that our proposed gaze-direction multitask learning procedure, along with careful lightweight architecture selection, leads to computationally efficient networks with high recognition performance.…”
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PARALLEL ALGORITHMS OF RANDOM FORESTS FOR CLASSIFYING VERY LARGE DATASETS by Do Thanh Nghi, Pham Nguyen Khang, Nguyen Van Hoa, Ly Hoang Trong

“…The random forests algorithm proposed by Breiman is an ensemble-based approach with very high accuracy. The learning and classification tasks of a set of decision trees take a lot of time, make it intractable when dealing with very large datasets. …”
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Interdisciplinary approaches among the subjects Surveillance and Vector Control and History of America by Bárbara Cecilia Eguiguren Ferrer, Reina Ysabel Hernández Cedeño, Valia Caminero Chávez, Miriam Olano Rivalta, Enma de la Caridad Díaz Hernández

“…Establishing interdisciplinary relations represents a current vital need, reason for which it has been incorporated into the teaching-learning process in our education system. This work is aimed at describing the interdisciplinary approach that can be established among the History of America and Surveillance and Vector Control subjects in the career of the same name, at the Technical Professional education inserted at the Cienfuegos University of Medical Sciences. …”
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Les apports de la gouvernance adaptative pour analyser les enjeux d’une mise en œuvre effective de la Trame Verte et Bleue. L’exemple du PNR des Volcans d’Auvergne by Valérie Angeon, Armelle Caron, Cécile Birard, Patrice Cayre, Philippe Chambon, Arnaud Larade, Ludovic Méasson, Claire Planchat

“…The study of the Auvergne region case through the adaptive governance analytical framework highlights the potential fruitful role of Regional nature parks in such dynamics of change and learning.…”
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Prediction of Deleterious Nonsynonymous Single-Nucleotide Polymorphism for Human Diseases by Jiaxin Wu, Rui Jiang

“…We classify the existing methods for characterizing nsSNPs into three categories (sequence based, structure based, and annotation based), and we introduce machine learning models for the prediction of deleterious nsSNPs. …”
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Improving school teachers’ self-efficacy and knowledge on food allergy and management of anaphylaxis using a virtual multidisciplinary workshop by Rubanandhini Nagajothi, Si Hui Goh, Hwee Hoon Lim, Wenyin Loh, Kok Wee Chong

“… Children with food allergies are at risk of inadvertent allergic reactions that range from mild to potentially life-threatening anaphylaxis, even with appropriate dietary avoidance.1 This risk is often increased in community settings such as schools via accidental exposure to allergens during learning activities or meal times. A quarter of children were found to have their first allergic reaction on school grounds.2 Studies of self-reported reactions have shown that 16–18% of school-aged children with known food allergy experienced an allergic reaction in school.3 In Singapore, the prevalence of self-reported food allergy among children aged 11–30 months could be as high as 5%. …”
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The Future of Teaching? Asimov's Three laws and the Hypothetical Robot Teacher by Nicola Robertson

“… There is no denying that the influence and use of technology in relation to teaching and learning increased significantly during the Co-Vid-19 periods of isolation and lockdown. …”
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A Review of Causal Methods for High-Dimensional Data by Zewude A. Berkessa, Esa Laara, Patrik Waldmann

“…Causal learning from observational data is an important scientific endeavor, but the statistical and computational challenges posed by the high-dimensionality of many modern datasets are substantial. …”
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Development of Communication Behaviour: Receiver Ontogeny in Túngara Frogs and a Prospectus for a Behavioural Evolutionary Development by Alexander T. Baugh, Kim L. Hoke, Michael J. Ryan

“…Most studies addressing the development of animal communication have focused on signal production rather than receiver decoding, and similar emphasis has been given to learning over nonlearning. But receivers are an integral part of a communication network, and nonlearned mechanisms appear to be more ubiquitous than learned ones in the communication systems of most animals. …”
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Finite-Time Antisaturation Tracking Control for Hypersonic Vehicle with Uncertain Dynamics by Yuwei Cui, Yushan He, Aijun Li, Jun Li, Shuo Song

“…An adaptive neural finite-time backstepping control strategy is constructed by designing modified virtual commands and compensation signals. The minimum learning parameter algorithm based on a radial basis function is employed to approximate the unknown dynamics with low computational burden. …”
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RISKS OF PEDAGOGICAL INNOVATIONS IN HIGHER EDUCATION by Natalia A. Lyz’, Alexander E. Lyz’

“…It is shown that the pedagogical innovations should provide constructive character of learning and activation of students’ personal mechanisms of professional development. …”
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Students’ Socio-Cultural Competence Formation in Project Activity (Examplified by the Foreign Language Teaching) by N. G. Murayeva

“…The suggested model fulfills the idea of pedagogic facilitation of the foreign language learning by using the meaning formation mechanism in socio- cultural educational environment. …”
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Exploring dilemma games in sustainable urban planning: A Cypriot case study on urban rooftop utilization for climate change by Merry Anna, Zachariou Aravella, Yau Jane

“…In this paper, we describe the initial co-design stages of the dilemma game, discuss the lessons learned, and provide future directions for research.…”
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