data science

Learners’ perception of perceived physics difficulty: association with choice at the elective level in high school

This study presents a regression-based correlational survey that investigates how high school students’ perceptions of physics difficulty influence their decision to select the subject at the elective level. Although physics is foundational to technological advancement, student enrollment particularly among females rem...

Professional development for primary science teachers: a systematic literature review of international and Chinese research

This study systematically reviews professional development for primary science teachers, emphasizing digital competencies and science, technology, engineering and mathematics or STEM-oriented instruction. There were 30 peer-reviewed studies published between 2020 and 2024 analyzed from Scopus and China National Knowled...

From smartphones to satellites: Integrating citizen science and high-resolution environmental data for mapping plant invasions in urban mountain landscapes

Exploration of data-sciences tools and techniques for retrieving Chlorophyll-a from Sentinel-3 OLCI products in transitional and coastal waterbodies

LLM-driven authentic assessment of machine learning programs in the LearnMatic data science ITS

Receptive English proficiency across programs in engineering education

English proficiency is increasingly recognized as a prerequisite for disciplinary participation in science, technology, engineering and mathematics (STEM) higher education, yet large scale evidence on institutional variation among non-English-major engineering students remains limited in Vietnam. This study examined re...

Educators in Islam: A Study of Their Status, Roles, Duties, and Challenges from the Perspective of Islamic Education

Education in Islam is not merely aimed at transferring knowledge, but also at shaping the character, morals, and spirituality of learners toward becoming a perfect human being (insan kamil). One of the key components that determines the success of such education is the educator. This study aims to examine the definitio...

Optimal Control of an SEIRS Epidemic Model for Online Shopping Addiction Dynamics among University Students

Online shopping addiction is a growing behavioral problem among university students, driven by the rapid development of e-commerce platforms. This study constructs, analyzes, and applies optimal control to an SEIRS (susceptible--exposed--infected--recovered--susceptible) mathematical model of online shopping addiction...

Adulthood interstitial lung disease due to variants in surfactant related genes: A systematic review.

Adult SRG-related ILD/PF is likely under-recognised because of variable penetrance, wide age at onset, and non-specific imaging features.

Laser-induced Breakdown Spectroscopy for Heritage Science

Thanks to its analytical versatility, speed of analysis and relatively low cost, laser-induced breakdown spectroscopy (LIBS) is having a steadily increasing global impact in cultural heritage diagnostics. This book introduces LIBS to technicians, students and practising conservation scientists needing a hands-on approa...

Artificial intelligence and machine learning applications in Behçet’s disease: a scoping review protocol

Abstract Background Behçet's disease (BD) is a chronic multisystem vasculitis of unknown aetiology with a characteristic geographic distribution along the historic Silk Road, with highest prevalence in Turkey, Iran, and surrounding regions. Diagnosis remains clinical and often delayed, and management requires individua...

Artificial intelligence in breast cancer research: a systematic review and bibliometric analysis of emerging trends and future directions

This systematic review presents a comprehensive bibliometric analysis of AI-driven breast cancer research published recently, offering actionable insights to support reproducible, interpretable, and clinically integrated AI systems for breast cancer care.