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Electroencephalography (EEG) is a crucial technique for interpreting neurocognitive functions and the underlying neural information. Despite its advantages, such as high portability, cost-effectiveness and exceptional te...

The article contains a feasibility analysis of using big data of payment systems for building forecasting models for the dynamics of consumer demand as a core factor of the retail turnover. The relevance of this research...

Purpose – This study investigates how recontextualizing EFL reading instruction through local-wisdom-based Problem-Based Learning (PBL) supports students’ reading comprehension and learning experiences. Methodology ...

Abstract BackgroundLong-term care facilities are increasingly caring for persons living with dementia as this population grows. Frontline care workers provide most hands-on support, yet they often have limite...

Several interdisciplinary studies highlight imperfect information as a possible explanation of skill mismatches, which in turn has implications for unemployment and informality rates. Despite information failures and the...

An end-to-end methodology based on deep learning for the detection and localization of microcalcifications in digital mammograms introduces a novel methodology designed for the preprocessing and localization of clusters ...

It is a privilege to present you with this stimulating book, which brings together an exceptional selection of ideas, experiences and reflections resulting from the meeting of a wide range of innovative educators from di...

The communicators’ training is one the fields with more updates due to constant changes faced every year. Therefore, digital native students have competencies developed in an informal way that become a natural bridge t...

We investigated the longitudinal predictors of reading and spelling of words and pseudowords with different syllabic structures in a shallow orthography. Participants were 47 Spanish-speaking children from kindergarten t...

Background: Inclusive education poses challenges for Arabic language teaching in pesantren-based madrasas, where student diversity in abilities and backgrounds requires adaptive learning approaches. Purpose: This study...

Abstract The glass transition temperature ( $$\:{T}_{g}$$ ) is a pivotal parameter for amorphous polymers, influencing their behavior under different thermal properties. Assessing $$\:{T}_{g}$$ is crucial for evaluating ...

Modern medical education stresses upon the use of active learning and peer interaction, which improve communication skills, motivation, and acquisition of knowledge. This study aimed to compare the efficacy of fishbowls ...

Early defect detection in pipelines is critical across industries, particularly in the oil and gas sector, where failures result in significant maintenance costs and operational disruptions. Acoustic guided-wave techniqu...

With the constant advancement of the smart grid, zero-day attack processes in Advanced Metering Infrastructure (AMI) and Supervisory Control and Data Acquisition (SCADA) networks are also continually evolving. This study...

Abstract Background Machine learning methods are widely used to detect behavioural data patterns. Although these new mathematical methods are useful tools, the interpretation of the results are often ambivalent unless ...

This study compares traditional and digital learning methods in developing design and visualization skills among fourth-year architecture students at a private higher education institution in Cebu City, Philippines. It f...

ABSTRACT Plant diseases are the cause of heavy losses of crop production and, therefore, a big contributor to food shortages. Identifying these diseases as early as possible is important to limit the negative effects tha...

IntroductionEarly and accurate diagnosis of skin cancer has a huge impact on the survival rate of patients and deep learning-based CNN and dermatologists' intelligence support can fasten the diagnosis not only within the...

Arc fault, especially series arc fault, has been the primary cause of electrical fire, which is intermittent, hidden, random and uncertain, difficult to detect, and serious harm. The characteristics of arc fault are firs...

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...

The convergence of educational technologies, ergonomics, and active learning frameworks offers a multidimensional approach to improving educational outcomes. This study examines the role of Learning Analytics (LA) in opt...

Abstract Introduction The learning curve refers to the relationship between a learner's execution of a task and the number of attempts or time necessary to perform it in a predictable, reliable, and optimal fashion. The ...

Abstract Background Population ageing presents increasing challenges for health systems. Identifying complex needs and planning individualized care through Comprehensive Geriatric Assessment (CGA), promoting intergenerat...

Background: The rapid digital transformation in education necessitates the development of interactive learning media, particularly in physical education domains such as basketball, which require the integration of motor...