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· GRACE/GRACE-FO Science Team...· 0 citations
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· GRACE/GRACE-FO Science Team...· 0 citations
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.· GRACE/GRACE-FO Science Team...· 0 citations
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· GRACE/GRACE-FO Science Team...· 0 citations
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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· Advances in Food and Nutriti...· 0 citations
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...
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· JPAIR Institutional Research· 0 citations
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· Journal of Education and Lea...· 0 citations
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.· Journal of construction engi...· 0 citations
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.· Journal of Education and Lea...· 0 citations
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.