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The ripening stage of a fruit is a crucial determinant of its quality. Traditional assessment methods for fruit ripeness are often subjective, error-prone, and time-consuming. Therefore, numerous attempts are being made ...

Intelligent mining area detection is fundamental for ecological monitoring and sustainable development of mining areas. However, current remote sensing detection lacks high-quality multimineral rotated object detection d...

Abstract Understanding human emotions across multiple modalities such as text and images, is increasingly important for applications including content personalization, social media analysis, and Human–Computer Interact...

ObjectiveA hybrid model based on bidirectional short term memory （BiLSTM） and Transformer was constructed to predict the population behavior of Listeria monocytogenes under different environmental conditions.MethodsI...

Purpose – The study examines the self-efficacy in STEM skills and the motivation of elementary school student in science learning on the theme of sustainable cities, highlighting gender and regional differences in East...

The conventional experimental methods can no longer satisfy the requirements of modern higher education in medical sciences. As a result, the integration of scientific research into experimental curricula has become more...

Changes in the conceptions of extension and rural innovation, as well as the persistence of diffusionist extension approaches, require rethinking training strategies for rural extensionists. Drawing upon conceptual insig...

This study aims to examine the singing method as a learning strategy to improve the numeracy skills of grade 1 students at SB AMI Penang, Malaysia. This research uses a qualitative method with a case study approach whose...

Purpose – This study aims to develop an innovative learning medium, KOPDAS (Smart Comic Puzzle), as a literacy tool based on read-aloud activities to foster reading interest among elementary school students and to exam...

BackgroundThe standardized training of general practitioners is a crucial component of post-graduation medical education and a strategic initiative in China’s healthcare workforce planning. This study aimed to evaluate...

Abstract This research proposes an innovative Arabic financial forecasting model that integrates linguistic relation extraction with advanced deep learning and machine learning techniques. The framework combines Arabic O...

This study explored the relationship between social media and Generation Alpha, focusing on creativity, learning, and assessment. It also investigated students’ internalizing behaviors and parental interventions. This ...

Background: Speech-language pathology (SLP) students in South Africa often face persistent challenges in transferring theoretical learning to authentic clinical contexts. This theory–practice divide is compounded by l...

This paper analyzes the statistical toolkit of Eurostat for collecting and processing data on the implementation of Artificial Intelligence (AI) in enterprises across European Union (EU) countries. The study defines the ...

Background: Reading comprehension represents a crucial aspect of learning English effectively, yet many junior high school students struggle to interpret and engage meaningfully with texts. Purpose: This study examines...

IntroductionThe deserts of Saudi Arabia are rich in rock art and cultural heritage sites, with ancient murals in the AlUla region holding significant symbolic meaning. Heritage plays an important role in preserving cultu...

This article focuses on innovative practices for training future linguists and translators within the framework of Education 4.0. The authors present the cases of how generative artificial intelligence (GenAI) can be app...

Abstract This research is concerned with the innovative use of AI in cross-cultural music learning, more particularly in the creation of a multimodal learning model that combines audio identification, image analysis, and...

Abstract In many real-world applications, binary and multi-class classification problems involving imbalanced data and overlapping boundaries present a significant challenge for traditional machine learning algorithms. I...

This article emphasizes the critical importance of public administration effectiveness during a full-scale war, highlighting the capacity of government to respond efficiently to security challenges, maintain public order...

This special issue of Student Success celebrates the work of Professor Ella Kahu and her substantial contribution to the advancement of our collective understanding of student engagement. In June 2024 Professors Karen Ne...

The article is dedicated to a comprehensive analysis of the phenomenon of virtual reality as an innovative sociocultural formation that significantly changes the ways of human existence, perception, communication, and in...

Climate change and cost pressure lead to new environmental and economic challenges that increase the demand for innovative control systems to automate and optimize agricultural tasks. Automating speed control during powe...