Demystifying early childhood computational thinking: An umbrella review to upgrade the field by Weipeng Yang, Jiahong Su, Hui Li

“…The Bee‐Bot and various LEGO kits were prevalent among CT learning tools, with interfaces ranging from physical buttons to hybrid systems. …”
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Exploring students’ attitudes towards their own English accent: Insights from SMA Negeri 1 Stabat by Fika Emylia Effendi, Rahmadsyah Rangkuti, Rusdi Noor Rosa

“…This stigmatization is particularly evident among students learning English as a foreign language, many of whom may view native-like accents as the ideal, which can diminish their confidence in their own speech. …”
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The role of force and torque in friction stir welding: A detailed review by Mostafa Akbari, Milad Esfandiar, Amin Abdollahzadeh

“…A notable advancement in this field is the implementation of machine learning tools, which enhance the ability to predict potential weld defects and improve overall weld quality. …”
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TEACHING OF INTERPOLATION AND APPROXIMATION CURVES THROUGH COMPUTER SIMULATION by Norbert Annuš, Ondrej Takáč

“…Our aim was to develop a teaching tool that would allow students attending a graphics class to learn about and test the possibilities of interpolation and approximation curves. …”
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Low-Rank Adaptation of Pre-Trained Large Vision Models for Improved Lung Nodule Malignancy Classification by Benjamin P. Veasey, Amir A. Amini

“…<italic>Goal:</italic> This paper investigates using Low-Rank Adaptation (LoRA) to adapt large vision models (LVMs) pretrained with self-supervised learning (SSL) for lung nodule malignancy classification. …”
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CORE-MD clinical risk score for regulatory evaluation of artificial intelligence-based medical device software by Frank E. Rademakers, Elisabetta Biasin, Nico Bruining, Enrico G. Caiani, Rhodri H. Davies, Stephen H. Gilbert, Eric Kamenjasevic, Gearóid McGauran, Gearóid O’Connor, Jean-Baptiste Rouffet, Baptiste Vasey, Alan G. Fraser

“…Abstract The European CORE–MD consortium (Coordinating Research and Evidence for Medical Devices) proposes a score for medical devices incorporating artificial intelligence or machine learning algorithms. Its domains are summarised as valid clinical association, technical performance, and clinical performance. …”
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Physical Therapists’ Use of Psychological Skills Training in Rehabilitation Following Traumatic Knee Injury: An Online Survey Study by Niklas Cederström, Jonas Bloch Thorlund, Britt Elin Øiestad, Kristoffer Henriksen, Eva Ageberg

“…Participants rated workshops, courses, or formal education as the most useful methods of learning to use psychological skills training in clinical work…”
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A Preliminary Study on 2D Convolutional Neural Network-Based Discontinuous Rail Position Classification for Detection on Rail Breaks Using Distributed Acoustic Sensing Data by Hye-Yeun Chun, Jungtai Kim, Dongkue Kim, Ilmu Byun, Kyeongjun Ko

“…In this research, as a preliminary study on rail break detection system, a deep learning-based discontinuous rail position classification method, which is using vibration data obtained from distributed acoustic sensing (DAS) system during train operation, is proposed. …”
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Converting from Seepage Irrigation to Plasticulture for Vegetable Production: A Case Study by Charles E. Barrett, Lincoln Zotarelli, Lucas G. Paranhos, Mark W. Warren

“…The plasticulture system was designed to provide a small-scale installation of this technology for learning and commercial adaptation purposes. This small-scale system has great potential for encouraging adoption of this type of system with low risk to the grower. …”
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An intelligent spam detection framework using fusion of spammer behavior and linguistic. by Amna Iqbal, Muhammad Younas, Muhammad Kashif Hanif, Muhammad Murad, Rabia Saleem, Muhammad Aater Javed

“…Fusion enables the proposed model to automatically learn the interactions between the features during the training process, allowing it to capture complex relationships and make predictions based on both types of features. …”
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A multi-institution longitudinal randomised control trial of speaking up: Implications for theory and practice by Efrem Violato, Jennifer Stefura, Meredith Patey, Brian Witschen

“…To overcome social-cognitive influences and improve speaking up, an intervention based on Kolb's experiential learning cycle was developed, which integrated Virtual Simulation, curriculum, and practice speaking up. …”
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An AI-based approach to predict delivery outcome based on measurable factors of pregnant mothers. by Michael Owusu-Adjei, James Ben Hayfron-Acquah, Twum Frimpong, Abdul-Salaam Gaddafi

“…This is achieved by adopting effective feature selection technique to estimate variable relationships with the target variable. Three supervised learning techniques are used and evaluated for performance. …”
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DFTD-YOLO: Lightweight Multi-Target Detection From Unmanned Aerial Vehicle Viewpoints by Yuteng Chen, Zhaoguang Liu

“…Due to the low detection accuracy of small and dense target objects in multi-target detection tasks from the unmanned aerial vehicle (UAV) perspective and the deployment of deep learning models for UAVs as embedded devices, these models must be lightweight. …”
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MACEDONIAN NATIONAL INNOVATION SYSTEM – MAIN CHALLENGES by Radmil Polenakovik, Ivana Stankovska, Bojan R. Jovanovski

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Is Objective Structured Practical Examination a Better Option than Conventional Practical Examination in Assessing Students’ Competency? An Analytical Research by Arup J. Rout, Pallabi Dasgupta, Tushar K. Saha, Daliya Biswas

“…Background: There was always a need for some innovative assessment method like an objective structured practical examination (OSPE) which is objective, reliable, and valid over conventional practical examinations (CPEs), which lack objectivity and reliability and carries risk of teachers’ bias as learning is assessment-driven. The aim of this study was to find out the effectiveness of OSPE over CPE among seventh-semester medical students and to assess the objectivity of structured questions among different OSPE stations. …”
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SMME readiness framework for smart manufacturing adoption using critical realism: Knowledge and construction phase by Lucas Gumbi, Hossana Twinomurinzi

“…The study found that a suitable SMME readiness framework for SM adoption should consider SM Knowledge Competence (SMKC), SM Relative Advantage (SMRA), and SM Compatibility (SMC) as preconditions for SM adoption, as well as Self-Directed Digital Learning (SDDL), Business Model Innovation (BMI), Entrepreneurial Orientation (EO) and a Culture of Innovation (CoI) as factors influencing these preconditions. …”
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Beyond productivity: The socio-cultural role of fishing among the Baka of southeastern Cameroon by Sandrine Gallois, Romain Duda

“…Furthermore, dam fishing represents a privileged space for learning, because it allows not only the transmission of ethnoichthyological knowledge, but also the transmission of other aspects of cultural knowledge that shape the early gender differentiation between boys and girls. …”
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Students Results Tracking Tool: A Case Study of Kabale Secondary school. by Kebirungi, Susan

“…Hence, in the current era of e-learning, prompted by the adoption of ICT, students' results tracking has the advantage of being easy to administer, ability to offer students instant results, having easy verification, devoid of paperwork it is capable of reducing the proportion of workload on students' results tracking.…”
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Philosophical Review of Artificial Intelligence for Society 5.0 by Ggaliwango, Marvin, Tamale, Micheal, Kanagwa, Benjamin, Jjingo, Daudi

“…However, the hardware and software of a fully autonomous, learning, reasoning AI system must mimic the processes and subsystems that exist within the human brain [14, 15].…”
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The experiences and challenges of Doctoral Education in Public Universities compared by Ocan, Johnson, Marus, Eton, Adyanga, Akena Francis, Ayiga, Natal

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