Kelayakan dan Keefektifan Sistem Konseling Behavioral Teknik Modeling dalam LMS Schoology untuk Meningkatkan Motivasi Belajar Siswa by Putu Deby Oktariani, Kadek Suranata, Kadek Ari Dwiarwati

“…Tanggapan 30 siswa peserta uji coba terbatas terhadap keberterimaan, kemudahan akses dan kebermanfaatan konseling behavioral teknik modeling berbasis website (dengan aplikasi Schoology bagian dari learning management system) ini dihitung dalam bentuk deskriptif persentase. …”
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DGFEG: Dynamic Gate Fusion and Edge Graph Perception Network for Remote Sensing Change Detection by Shengning Zhou, Genji Yuan, Zhen Hua, Jinjiang Li

“…Benefiting from continuous innovations in deep learning algorithms, the accuracy of building change detection (BCD) in remote sensing (RS) has significantly improved. …”
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Consolidating Medical Education in Sudan During War by Mohamed H. Taha, Nazik E. Husain, Wail Nuri Osman Mukhtar, Mohamed Elhassan Abdalla

“…Online and remote education, including asynchronous learning and social media platforms, overcome access barriers and fosters knowledge sharing. …”
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Beyond modular and non-modular states: theoretical considerations, exemplifications, and practical implications by Francesco Benso, Carlo Chiorri, Eleonora Ardu, Paola Venuti, Angela Pasqualotto, Angela Pasqualotto

“…This exploration refines existing theoretical models, distinguishing innate systems, genetically predisposed ones, and those hyper-learned through working memory, as exemplified by the three-level model of Moscovitch and Umiltà. …”
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Monitoring of ball bearings via vibration analysis and envelope technique for predictive maintenance purposes by Adiel Pessoa, Paulo Cezar Büchner

“…The next step we will intend to explore the new technologies like machine learning and artificial intelligence, to also analyze all variants of defects in a bearing. …”
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Reflecting trends of the contemporary academic landscape in the context of Higher Education 4.0 by Nilüfer Ülker

“…To be able to achieve this, modifications have taken place in many spheres of higher education including but not limited to the adoption of new instructional methodologies, changes in the teaching and learning environment and the redefinition of student competencies in line with the requirements of the current era. …”
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Digital Rectal Examination Standardization for Inexperienced Hands: Teaching Medical Students by Leonardo Oliveira Reis, Antonio Felipe Leite Simão, Jamal Baracat, Fernandes Denardi, Antonio Gugliotta

“…This is the first attempt to DRE standardization focusing on teaching-learning process, establishing a linear correlation of DRE and US PVs with only 12 examinations by inexperienced hands, satisfactorily validated in an outpatient clinical setting.…”
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Application of Extreme Gradient Boosting Based on Grey Relation Analysis for Prediction of Compressive Strength of Concrete by Liyun Cui, Peiyuan Chen, Liang Wang, Jin Li, Hao Ling

“…The prediction of concrete strength is an interesting point of investigation and could be realized well, especially for the concrete with the complex system, with the development of machine learning and artificial intelligence. Therefore, an excellent algorithm should put emphasis to receiving increased attention from researchers. …”
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Indoor air quality at the Arab governmental girls’ schools [version 2; peer review: 2 approved, 1 approved with reservations] by Abdulmalik Salman Alsaif, Mohammed Tawfiq Aljassim, Sana Abdullah Alsulaiman, Mahmoud Fathy Elsharkawy

“…Background A proper and adequate school environment is important for an effective learning process and maintaining the health of the students as they spend most of their time in schools. …”
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Smart Contracts and Shared Platforms in Sustainable Health Care: Systematic Review by Carlos Antonio Marino, Claudia Diaz Paz

“…A quantitative assessment of the studies based on machine learning and data reduction methodologies was complemented with a qualitative, in-depth, detailed review of the frameworks propounded in the literature. …”
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Use of evidence-based health professions education: Attitudes and practices of academic leaders. by Shazia Nawabi, Rida Fatima Waseem, AbdulAziz Binrayes, Ayman Moaz Abulhamael, Zaina Ahmad, Kiran Imtiaz Khan, Syed Rashid Habib, Muhammad Qasim Javed

“…Healthcare professionals should be committed to educational excellence, and endeavour to rely on evidence-based literature regarding the planning and review of learning, teaching, and assessment strategies.…”
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Artificial intelligence artificial muscle of dielectric elastomers by Dongyang Huang, Jiaxuan Ma, Yubing Han, Chang Xue, Mengying Zhang, Weijia Wen, Sheng Sun, Jinbo Wu

“…Establishing an AM material database is highly valuable, as seemingly minor material data can be correlated with descriptors and target values via machine learning. Through material data mining integrating materials science and data science, we can predict potential breakthroughs in AM materials. …”
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Influence of Genetic Variants of the N-Methyl-D-Aspartate Receptor on Emotion and Social Behavior in Adolescents by Li-Ching Lee, Ying-Chun Cho, Pei-Jung Lin, Ting-Chi Yeh, Chun-Yen Chang, Ting-Kuang Yeh

“…Because emotional and social impairment greatly influence learning ability, the findings of this study provide important information for clinical treatment and the development of promising prevention and treatment strategies, especially in the area of psychological adjustment.…”
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Integrative mindfulness-based infant parenting program: theoretical foundations and a novel intervention protocol by Or Burstein, Zipi Teshale Zevin, Ronny Geva, Ronny Geva

“…To adapt mindful parenting practice for implementation in pediatric care settings and the specific needs and challenges of parenting infants, the current study introduces a novel theoretical framework, combining mindfulness with elements from calming cycle theory, dialectical behavior therapy (DBT), trauma-informed care, emotion-focused therapy, schema therapy, and Vygotsky’s learning theory. These elements are not merely complementary but cardinal in meeting the diverse needs of parents during infancy, both in typical developmental contexts and following preterm birth, where additional stressors are often present. …”
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A feasibility study on using soft insoles for estimating 3D ground reaction forces with incorporated 3D-printed foam-like sensors by Nick Willemstein, Saivimal Sridar, Herman van der Kooij, Ali Sadeghi

“…These results were comparable to or outperformed other works that used commercial force-sensing resistors with machine learning. Four participants participated in three trials over a week, which showed a decrease in estimation performance over time but stayed on average 11.35% RMS and 8.6% MAE after a week with the performance seeming consistent between days two and seven. …”
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Enriching maritime vocational education with physical-sports activities by Marudut Bernadtua Simanjuntak, Marihot Simanjuntak, Vidya Selasdini, Meilinasari Nurhasanah Hutagaol, April Gunawan Malau, Susi Herawati, Pargaulan Dwikora Simanjuntak, Damoyanto Purba, Derma Watty Sihombing

“…Educators identified innovative curriculum strategies such as interdisciplinary integration and simulation-based learning. Cadets reported increased physical fitness, mental resilience, and readiness for maritime challenges, supported by tailored sports education programmes. …”
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DeepEye: An Automatic Big Data Visualization Framework by Xuedi Qin, Yuyu Luo, Nan Tang, Guoliang Li

“…This system solves the first challenge by training a binary classifier to decide whether a particular visualization is good for a given dataset, and by using a supervised learning to rank model to rank the above good visualizations. …”
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Changing of the characteristics of the labor potential in the transition to the technogenic society by O. A. Tettsoeva

“…Trends in the qualitative characteristics are pre-determined by the possibility of continuous learning and self-education. This in turn leads to changing of the situation in the labor market, where low-skilled workers are becoming non-competitive. …”
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Intrusion detection in metaverse environment internet of things systems by metaheuristics tuned two level framework by Milos Antonijevic, Miodrag Zivkovic, Milica Djuric Jovicic, Bosko Nikolic, Jasmina Perisic, Marina Milovanovic, Luka Jovanovic, Mahmoud Abdel-Salam, Nebojsa Bacanin

“…This study revolves around hybrid framework that combines convolutional neural networks (CNN) and machine learning (ML) classifying models, like categorical boosting (CatBoost) and light gradient-boosting machine (LightGBM), further optimized through metaheuristics optimizers for leveraged performance. …”
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ZooCNN: A Zero-Order Optimized Convolutional Neural Network for Pneumonia Classification Using Chest Radiographs by Saravana Kumar Ganesan, Parthasarathy Velusamy, Santhosh Rajendran, Ranjithkumar Sakthivel, Manikandan Bose, Baskaran Stephen Inbaraj

“…This article presents a Deep Learning model, Zero-Order Optimized Convolutional Neural Network (ZooCNN), a Zero-Order Optimization (Zoo)-based CNN model for classifying CXR images into three classes, Normal Lungs (NL), Bacterial Pneumonia (BP), and Viral Pneumonia (VP); this model utilizes the Adaptive Synthetic Sampling (ADASYN) approach to ensure class balance in the Kaggle CXR Images (Pneumonia) dataset. …”
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