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data science

2,618 papers

#data science Open access Oct 2026

GRACE and satellite altimetry to measure ocean mass and density changes between 2002 and 202

From GRACE and GRACE-FO we get time variable information from the Earth’s gravity field since 2002. The monthly time series obtained from science centers can be represented as a surface water layer. By sampling the oceans at mascons we obtain a mass against time signal which represents the barystatic component of the s...

E. Schrama, W. van der Wal · 0 citations
#data science Open access Oct 2026

Data-driven Uncertainty-aware 5-day Surface Mass Variations from GRACE Ranging Residuals 

This study directly utilises GRACE Level-1B (L1B) KBR post-fit residuals, provided by the Center for Space Research, as the basis for high-frequency mass change modelling. We showcase the updated methodology and its uncertainty characteristics, demonstrating the potential of KBR post-fit residuals to recover sub-monthl...

M. Cuadrat-Grzybowski, Frederik Jacobs, J. de Teixeira da Encarnacao · 0 citations
#data science Open access Oct 2026

Insights from the DANSk-LSM Project to Advance GRACE(-FO) and Multi-Sensor Data Assimilation for Hydrological Monitoring and Early Warning Systems

The DANSk-LSM (Developing Efficient Multi-Sensor Data Assimilation Frameworks for Integrating Earth Observation Satellite Data into Land Surface Models) project, funded by Independent Research Fund Denmark (DFF), developed and demonstrated physically consistent and computationally efficient data assimilation frameworks...

Ehsan Forootan, Fan Yang, Leire Retegui Schiettekatte et al. · 0 citations
#data science Open access Oct 2026

Deployment of a Long-Term Self-Calibrating Ocean Bottom Pressure Recorder in the Nordic Seas for GRACE-FO, GRACE-C, and NGGM Validation

We report the successful deployment of a Sonardyne Fetch AZA ocean bottom pressure recorder at the Oceanographic Weather Station M (66°N, 2°E) in the Nordic Seas in June 2026. The deployment and data recovery efforts are supported by NASA's GRACE-FO Science Team and the University of Bergen, with the goal of providing...

C. Peralta-Ferriz, J. Guthrie, J. Morison · 0 citations
#data science Open access Oct 2026

Eating Patterns and Nutritional Habits of Undergraduate Students: A CrossSectional Study in Lahore, Pakistan

The majority of undergraduate students in Lahore demonstrated moderately adequate eating patterns, with only one in four students achieving adequate dietary habits, determining the need for nutritional interventions, healthy food access on campus, and dietary awareness campaigns specifically for Pakistani university st...

Zainab Umar, K. T. Kubra · 0 citations
#data science Review Open access Oct 2026

From Policy to Practice: An Assessment of the Effectiveness of Human Resource Development Programs for Social Science Teachers

The rapidly evolving landscape of 21st-century education demands that Human Resource Development (HRD) policies transcend administrative theory to foster genuine pedagogical innovation. This study evaluates the effectiveness of HRD programs for social science teachers, focusing on the alignment between institutional po...

Lorraine Shirai Dedumo, Louella Rambuyong, Crishella Tuyor et al. · 0 citations
#data science Review Open access Oct 2026

Strategies Employed by HEI’s Offering Bachelor of Science in Nursing Programs to Address the Shortage of Qualified Instructors in the Clinical Area in the Province of Albay

Although HEIs generally meet minimum regulatory requirements, there is uneven implementation of recruitment and retention strategies, weak consensus on development and innovation priorities, and persistent structural challenges such as non-competitive compensation, limited graduate-prepared faculty, and high turnover i...

Jennifer Crue, Rowena Cuevillas · 0 citations
#data science Open access Nov 2026

Exploring female pre-service teachers’ self-efficacy in teaching science and mathematics: a mixed-methods study

Teacher self-efficacy is particularly relevant to the teaching of science and mathematics and affects their teaching and learning through the teachers’ instructional practices. This study examines female pre-service teachers’ self-efficacy in teaching science and mathematics across three domains: planning, implementati...

S. Marei, Saed Sabah · 0 citations
#data science Review Open access Nov 2026

Exploring the Intersection of Cognitive Load Theory, Cognitive Sciences, and Neuroscience in Construction Safety: A Systematic Literature Review and a Conceptual Framework

The construction industry faces high injury and fatality rates due to human errors from cognitive overload, attention deficits, and stress. This review synthesizes the intersection of cognitive load theory (CLT), the cognitive sciences (CS), and neuroscience to enhance safety, with a focus on hazard recognition, acci...

M. R. Heidari, Ali Iranpour, MohammadParsa RahimiNejad et al. · 0 citations
#data science Open access Nov 2026

Enhancing educational practices in community learning centers: challenges and strategies for resource distribution and technology integration

The primary goal of this study was to explore the challenges faced by teachers in community learning centers (CLCs) concerning resource distribution, technology integration, and their impact on teaching and learning outcomes, specifically in grade 12 mathematics. The study contributes to the literature by identifying k...

Carlit Casey Tibane, Olivia Neo Mafa-Theledi, T. Masebe et al. · 0 citations

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Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.

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