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ObjectiveDespite the widespread use of immune checkpoint inhibitors (ICIs) improving survival outcomes in non-small cell lung cancer (NSCLC) patients, immune-related adverse events (irAEs) triggered by ICIs have become a...

Efficient UAV path planning in large and dynamic environments requires adaptive strategies that account for varying regional importance. Traditional coverage or Reinforcement Learning-based methods often suffer from redu...

Purpose – This study aimed to examine the effectiveness of Ethnomathematics-based Problem-Based Learning (PBL) and Ethnomathematics-based Student Teams Achievement Division (STAD) in enhancing students' Mathematical Cr...

This study examines how Activity-Based Learning (ABL) relates to competencies for a knowledge-based economy (KBE) and addresses limited evidence from non-Western higher education contexts. A cross-sectional survey of 481...

ObjectiveCongenital Hypogonadotropic Hypogonadism (CHH) is a rare disease with an extremely low incidence, and the outcomes of fertility induction therapy in CHH patients exhibit significant interindividual heterogeneity...

Forest growth and yield projection is essential for sustainable forest management planning. In Brazil, the Clutter model is widely applied for yield forecasting and commonly achieves prediction errors below 10%. However,...

The purpose of this study is to determine how the gamification-based OIDECCA learning model has an impact on students' motivation to excel in Natural Sciences (IPA) subjects in grade VII at SMP Negeri 6 Siak Hulu, Kampar...

This study showcases the use of Design-Based Research (DBR) applied to the development of Case-Directed Learning (CDL), a new, clinically contextualized teaching method designed to better support critical thinking, clini...

Introduction. In recent days, electric vehicles, robotics and in many control system applications, permanent magnet synchronous motors (PMSMs) are widely utilized. Problem. Due to non-linear behavior of system, external ...

Abstract Early and reliable smoke detection is critical for preventing fire-related disasters, safeguarding human lives, and ensuring infrastructure safety. Conventional sensor-based systems, however, are often constrain...

Abstract Journaling enables students to reflect on their learning processes and thereby strengthen their self-regulation, a key competency for meeting academic goals. Previous work has shown that students benefit from di...

The development of technology and the world of education today requires complex thinking. Technology can be used to make the learning process easier, more interesting, and more enjoyable. However, learning must continue ...

Lifeng Yao, Yijun Chen, Jing Shen, Junge Zhang, Yiwei Zhang, Guojin Liang, Yiqin Ji Department of Anesthesiology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, People’s Republic of ChinaCorrespo...

This study addresses the limited availability of empirically validated differentiated learning models for inclusive elementary classrooms within the Merdeka Curriculum. It aims to develop and examine the feasibility, pra...

Abstract Matching college students with appropriate innovative training projects is a challenging task that often relies on static assignment techniques, which overlook individual interests, skills, and learning styles. ...

The purpose of this research is to (1) develop a hybrid flipbook-based media in e-learning Pancasila Education courses as a step to reduce the use of internet quotas, (2) make Pancasila Education lectures varied and fun,...

Customer feedback is pivotal in enhancing service quality and user satisfaction across digital platforms. However, traditional sentiment analysis methods often struggle with informal languages, contextual nuances, and as...

Measurements from global navigation satellite system reflectometry (GNSS-R) have proven effective for applications in sea surface height (SSH). Deep learning-based methods for spaceborne GNSS-R SSH retrieval can effectiv...

Abstract Background Postoperative complications of mediastinal tumors significantly impact patients’ quality of life and long-term outcomes; however, a notable gap in the development of predictive tools for their occur...

Abstract Objective Machine learning-based approaches were applied to explore prognostic risk factors for patients with tuberculous meningitis (TBM) and develop a risk prediction model for their 1-year post-treatment poor...

Abstract This study investigates whether machine learning effectively processes high-dimensional data, a challenging task for traditional predictive models, to optimize portfolio strategies. Using daily data from Decembe...

Background: The rapid development of digital technology and the challenges of learning Arabic, which is often perceived as abstract, require innovation through a contextual approach based on Islamic digital content. Pu...

Thinking skills as a cognitive process are life skills needed by students in academic activities. This study aims to implement the Project-Based Learning integrated with Science, Technology, Engineering and Mathematics (...

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...