data science

Emerging Trends in Computational Science, Computational Biology, Parallel & Distributed Computing, and Internet of Things

Comparative Effect of Three Instructional Strategies on Pre-Service Teachers' Learning Outcomes in Chemistry Practical in Niger State, Nigeria

Chemistry is an activity-oriented subject; however, students’ achievement over the years has remained unsatisfactory. Among the factors responsible for poor performance is the use of ineffective instructional strategies. This study examined the effects of guided inquiry (GI), guided inquiry with demonstration (GID), an...

Effects of STAD Cooperative Learning Technique on Learning Achievement in Group Theory

The purposes of this research were to: 1) construct and develop a mathematics learning model on groups using the STAD cooperative learning technique, 2) compare students' academic achievement before and after learning, 3) compare post-learning achievement against the 70% criterion, and 4) examine student satisfaction t...

Beyond Editing Code: Uses for AI Tools in Scientific Work

Critical research advancements require usable, reliable software products—including AI tooling—for high performance data and computing work. To improve AI systems we must understand scientists’ and engineers’ needs and define design best practices for building interfaces that facilitate collaboration between scientists...

Nut consumption and musculoskeletal health: a systematic review

Background: Age-related functional decline, frailty, sarcopenia, and disability contribute to loss of independence and financial burden in aging populations. Nuts contain bioactive compounds, including polyphenols, antioxidants, vitamins, minerals, and unsaturated fatty acids that may support musculoskeletal health. Th...

Ultraviolet observations of the Earth and Moon during the JUICE Lunar-Earth flyby

Abstract. During the JUICE Lunar-Earth Gravity Assist (LEGA) period in August 2024, the JUICE ultraviolet imaging spectrograph (JUICE-UVS) performed a series of observations of the Earth and Moon, detecting reflected sunlight at the Moon and emissions of atmospheric species including hydrogen, oxygen, and nitrogen at t...

The association between diabetic retinopathy and cognitive impairment in patients with diabetes mellitus: a systematic review and meta-analysis

Background Diabetic retinopathy (DR) is a recognized microvascular complication of diabetes in which neurovascular and neurodegenerative mechanisms may also contribute. This systematic review evaluated the association between DR and cognitive impairment or dementia, including Alzheimer’s disease and vascular dementia,...

A multimodal dataset bridging brain activity, cognition, and real-world collective behavior

Abstract We present a multimodal dataset integrating brain activity, cognition, and real-world collective behavior using naturalistic video stimuli recorded in a controlled laboratory setting. The dataset includes 64-channel electroencephalography (EEG) recordings from 65 participants during narrative video viewing, mu...

Chignecto Area Watersheds Temperature Logger Data

EOS Eco-Energy is a small, charitable organization based in Sackville, New Brunswick. In 2017, EOS established the Chignecto Area Watersheds Monitoring Program, with an aim to maintain the long-term sustainability of our local watersheds by promoting watershed awareness through citizen science, public education, conduc...

Implementing Research-Based Science Activities in a Rural ESL Classroom: Usability, Pupil Learning and Instructional Value

This study examined the implementation of a researcher-designed Science Research-Based Activity (SRA) sequence in a rural Year 5 ESL classroom in Sarawak with limited infrastructure and teaching materials. The sequence organised Survey, Case Study, and Experimental Science Activities as a connected progression. Using A...

Data analytics and AI in ESG, climate change and sustainability: A practitioner's handbook

This handbook began as a course module and grew into something more urgent.When the Task Force on Climate-related Financial Disclosures published its recommendations in 2017, thesustainability community gained a shared vocabulary for risk. When the Corporate SustainabilityReporting Directive came into force in Europe a...

A multimetric clustering approach for unbiased categorization of computer science journals: the framework proposed

Purpose The rank of a journal is usually quantified by a single metric like Impact Factor (IF), CiteScore or SCImago Journal Rank (SJR). To avoid bias due to the use of a single metric, a multimetric-based data-centric unsupervised machine learning framework is proposed for journal categorization. Design/methodology/ap...