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Surabaya City is one of the urban areas in Indonesia with a high incidence of breast cancer. Multiple factors, including genetic predisposition, lifestyle patterns, and environmental exposures, influence this condition. ...

Abstract Alkaline water electrolysis represents a promising pathway for green hydrogen production, yet comprehensive multi-physics simulation remains computationally prohibitive for practical design optimization. This st...

Advances in Artificial Intelligence (AI), particularly through Machine Learning (ML) and Deep Learning (DL), have enabled innovative solutions in industries including automotive, healthcare, and transportation. These tec...

Learning enjoyment among university students has shown signs of decline in recent years, raising growing concerns about student motivation and engagement in higher education. Although previous research has identified sev...

Technological developments have an impact on various fields, in education particularly, the 21st-century learning requires lectures and learners to be creative and innovative in utilizing digital media effectively, by us...

To overcome the limitations of traditional models to simulate discrete environmental variables, this study introduces a novel, integrated simulation framework: the Spatio-Temporal Integrated Geographic Generative Adversa...

Abstract Objective: To estimate the effect of integrating responsive care, early learning and development monitoring into a community-based package of activities on nutrition, sanitation and hygiene, on improvements in ...

Current trends in tertiary education reflect the importance of Intercultural Communicative Competence (ICC) for the globalized job market. In this research, using a mixed-methods approach, we investigated the influence I...

This study investigates the impact of Content and Language Integrated Learning (CLIL) on academic vocabulary development and disciplinary understanding among newly recruited teachers at Batna 2 University, Algeria. Condu...

Purpose – This study systematically maps global research trends on entrepreneurial readiness in vocational education from 2020 to 2025 and identifies implications for strengthening the Indonesian vocational education s...

Car classification is important in daily life because there are many distinct types of automobiles made by various manufacturers. Although there are numerous methods for classifying autos, machine learning technologies h...

Abstract Roadside areas are major sources of traffic-related air pollutant emissions. This study identified the spatial distribution of roadside pollutants using Unmanned Aerial Vehicle (UAV) measurements and predicted t...

This study integrates geochemical, statistical, and machine learning methods to investigate hydrothermal systems and mineralization processes within southern Georgia's Bektakari–Bnelikhevi ore knot. A total of 212 geoc...

Purpose – this study differs from previous research in that it focuses on developing the DCALL model in writing learning. The main target is students' writing skills in any text, supported by an application integrated ...

Carbon allowances constitute a foundational component of national carbon emission control frameworks, as they govern the equitable distribution of subsequent allocations and directly shape the overall effectiveness of gr...

Foodborne pathogen outbreaks impose a substantial and escalating burden on global public health, food systems, and economies, with the World Health Organization estimating over 600 million illness episodes and 420,000 de...

BackgroundOpioid overdose remains a leading cause of preventable death in the United States. Existing approaches to identify individuals at elevated risk rely on imprecise rule-based criteria that misclassify patients’...

The airline industry is one of the sectors characterized by being highly competitive, dynamic, and uncertain. In addition, the constantly renewed, growing structure and vulnerability to conjuncture of the sector usually ...

Federated Learning (FL) has emerged as a privacy-preserving distributed learning paradigm that enables collaborative model training without sharing raw data. Despite its advantages, ensuring trustworthy FL deployment rem...

The implementation of the functioning of fractals and fractality for open and holistic systems of physical and mathematical education is substantiated. It is shown that it is thanks to fractality that the synergy of the ...

Improving students’ mathematical wellbeing is important because it supports their positive feelings toward mathematics and contributes to better learning outcomes. However, limited research has explored which factors i...

Silicon photonics switches are emerging as a key technology for realizing energy-efficient networks, spanning from intra data center to wafer-scale interconnections. This review focuses on recent developments and prospec...

The article analyzes the theoretical foundations and practical aspects of implementing artificial intelligence (AI) technologies in educational and scientific space. Based on a systematic analysis of international resear...

This study investigates the long-term aging effects and structural degradation mechanisms of photovoltaic (PV) modules integrated into smart city furniture, with a particular focus on panels of 10 W, 25 W, and 40 W nomin...