REGULATORY AND LEGAL BASIS OF THE DIGITALIZATION OF THE PROFESSIONAL TRAINING OF TEACHERS IN HUNGARY by Olesia Stoika

“…This study analyzes the legal framework for digitalization of teacher training in Hungary and the steps taken in the direction of digital transformation. …”

A robust covariate‐invariant gait recognition based on pose features by Anubha Parashar, Apoorva Parashar, Rajveer Singh Shekhawat

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Effective techniques for developing advanced vocabulary skills in English language by Yu. Kovalenko

“…In summary, recognizing the importance of vocabulary in language acquisition and adopting innovative strategies for vocabulary development are essential steps to enable students to realize the full potential of language, promote academic and professional excellence, and embark on a journey of lifelong learning and personal growth.…”
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Prospects of Implementing Inclusive Education in TVET Colleges in OR Tambo Inland District, South Africa by Thanduxolo Albert Nomtshongwana, Andrea Mqondiso Buka

“…Inclusive education in South Africa was one of the first steps taken to fight for equality and human rights after apartheid. …”
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Heterogeneous quantization regularizes spiking neural network activity by Roy Moyal, Kyrus R. Mama, Matthew Einhorn, Ayon Borthakur, Thomas A. Cleland

“…Brains, on the other hand, are adept at learning stable sensory representations given noisy observations, a capacity mediated by a cascade of signal conditioning steps informed by domain knowledge. …”
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Renewable energy forecasting using optimized quantum temporal model based on Ninja optimization algorithm by Mona Ahmed Yassen, El-Sayed M. El-kenawy, Mohamed Gamal Abdel-Fattah, Islam Ismael, Hossam El.Deen Salah Mostafa

“…Renewable energy forecasting receives substantial improvement by applying deep learning methods as one of its promising approaches. …”
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Improving Moving Insect Detection with Difference of Features Maps in YOLO Architecture by Angel Gomez-Canales, Javier Gomez-Avila, Jesus Hernandez-Barragan, Carlos Lopez-Franco, Carlos Villaseñor, Nancy Arana-Daniel

“…Unlike methods that rely on frame differencing and require additional preprocessing steps, our approach operates on raw input and uses only two consecutive frames. …”
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STUDYING AI TECHNOLOGIES  IN EXTRACURRICULAR ACTIVITIES WITH TEENAGERS by Nataliia Valko, Nataliya Kushnir

“…During the class, children become familiar with the concepts of artificial intelligence and machine learning, the differences between them, the concept of computer vision, the stages of machine learning, the steps of object identification, data acquisition and classification, examples of image recognition projects, decision trees, the concept of neural networks and their training, and they also teach a machine with built-in artificial intelligence to "see" objects. …”
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A New Hybrid ConvViT Model for Dangerous Farm Insect Detection by Anil Utku, Mahmut Kaya, Yavuz Canbay

“…Several data preprocessing steps were implemented to enhance the model’s performance, including data augmentation techniques and strategies to ensure class balance. …”
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A Systematic Integration of Artificial Intelligence Models in Appendicitis Management: A Comprehensive Review by Ivan Maleš, Marko Kumrić, Andrea Huić Maleš, Ivan Cvitković, Roko Šantić, Zenon Pogorelić, Joško Božić

“…Artificial intelligence (AI) and machine learning (ML) are transforming the management of acute appendicitis by enhancing diagnostic accuracy, optimizing treatment strategies, and improving patient outcomes. …”
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MCATD: Multi-Scale Contextual Attention Transformer Diffusion for Unsupervised Low-Light Image Enhancement by Cheng da, Yongsheng Qian, Junwei Zeng, Xuting Wei, Futao Zhang

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Bridging Algebraic and Computational Thinking: Impacts on Student Development in K–12 Education by Pál Sarmasági, Anikó Rumbus, Javier Bilbao, András Margitay-Becht, Zsuzsa Pluhár, Carolina Rebollar, Valentina Dagienė

“…This study presents the initial hypotheses, theoretical framework, and key steps undertaken to explore characterized learning paths and assign practice-relevant tasks. …”
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Evaluating the impact of reciprocal teaching embedded within a Web 2.0 tool upon fifth-grade students’ reading during integrated readers’ workshop at a Professional Development Sch... by Aisja Jones, Suzy Hardie

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PENGEMBANGAN MODEL PEMBELAJARAN FISIKA BERBASIS PROBLEM SOLVING UNTUK MENINGKATKAN KEMAMPUAN METAKOGNISI DAN PEMAHAMAN KONSEP MAHASISWA by P.S. Mariati

“…</p><p><br />A problem solving based physics learning model can enhance students’ metacognition ability and conceptual understanding has been developed. …”
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Analysis to Predict the Number of New Students At UNU Pasuruan using Arima Method by Fachri Ayudi Fitrony, Laksmita Dewi Supraba, Tessa Rantung, I Made Artha Agastya, Kusrini Kusrini

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Dual-radiomics based on SHapley additive explanations for predicting hematologic toxicity in concurrent chemoradiotherapy patients by Luqiao Chen, Zhipeng He, Qianxi Ni, Qionghui Zhou, Xizi Long, Wenbin Yan, Qian Sui, Jiheng Liu

“…Extreme gradient boosting models were developed using two feature selection schemes: single-step and multi-step. Sensitivity, specificity, and area under the curve (AUC) values on the test set were used to evaluate model performance. …”
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Application of 3D atom pair map in an attention model for enhanced drug virtual screening by Gina Ryu, Wankyu Kim

“…Abstract Machine learning and artificial intelligence (AI) are actively applied in drug discovery, such as virtual screening, wherein appropriate molecular representation is critical. …”
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Development of an artificial intelligence system for the forecasting of infectious diseases by A. A. Kuzin, R. I. Glushakov, S. A. Parfenov, K. V. Sapozhnikov, A. A. Lazarev

“…Here, we provided an overview of artificial intelligence (AI) approaches for developing a system for prediction of infectious diseases and designed a respective step-by-step protocol.Materials and Methods. Literature search in PubMed and Google Scholar and PubMed.Key Points. …”
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A novel ST-iTransformer model for spatio-temporal ambient air pollution forecasting by Rui Zhang, Norhashidah Awang

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Evaluating Security Anomalies by Classifying Traffic Using a Multi-Layered Model by Mohammadreza Samadzadeh, Najmeh Farajipour Ghohroud

“…In this study, a two-step classification method based on deep learning algorithms is presented, which can achieve high classification accuracy without manually selecting and extracting features. …”
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