Results 251 to 260 of about 6,740 (303)

Evaluation for Learning in Primary Health Care Organizations: Aspirations, Realities and Lessons From Australia

New Directions for Evaluation, EarlyView.
ABSTRACT This article examines tensions between the accountability and learning functions of evaluation through a case study of an evaluation capacity building (ECB) initiative undertaken in an Australian primary health care setting. We describe the ECB approach and strategies and identify enablers and barriers influencing their implementation and ...
Brad Astbury, Lucio Naccarella
wiley   +1 more source

Optimizing photosynthetic light-harvesting under stars: simple and general antenna models. [PDF]

Photosynth Res
Chitnavis S, Gray C, Rousouli I, Gillen E, Mullineaux CW, Haworth TJ, Duffy CDP.   +6 more
europepmc   +1 more source

Reflective Pathways: Integrating Empathy Into the STEM Student Experiences

Future in Educational Research, EarlyView.
ABSTRACT The growing demand for a globally competent STEM workforce showcases the importance of embedding empathy into undergraduate education. As a core dimension of global competence, empathy enables individuals to engage diverse perspectives and navigate collaborative challenges.
Aparajita Jaiswal, Nathan S. Bitner, Gaurav Nanda, Muna Sapkota   +3 more
wiley   +1 more source

Ion-acoustic solitons in a relativistic Fermi plasma at finite temperature. [PDF]

Sci Rep
Dey R, Banerjee G, Misra AP, Bhowmik C.
europepmc   +1 more source

Exploring the Nexus Between Sustainability Index and Central European Stock Markets Competitiveness: Evidence Through Time–Frequency Analysis and SHAP

Journal of Forecasting, EarlyView.
ABSTRACT Sustainability has become an important factor shaping financial markets and investor behavior. This paper examines the relationship between sustainability indices and Central European stock markets using a time–frequency approach. Wavelet coherence is employed to capture time‐varying co‐movements between sustainability indices and stock market
Zuzana Janková, Dipak Kumar Jana, Michal Páleš, Elena Fleaca, Petr Dostál   +4 more
wiley   +1 more source

Multiple outflows and delayed ejections revealed by early imaging of novae. [PDF]

Nat Astron
Aydi E, Monnier JD, Mérand A, Schaefer GH, Chomiuk L, Otulakowska-Hypka M, Fan JL, Li KL, Sokolovsky KV, Salinas R, Tucker M, Shappee B, Rudy R, Page KL, Kuin NPM, Buckley DAH, Craig P, Izzo L, Linford J, Metzger BD, Mukai K, Orio M, Shen KJ, Strader J, Sokoloski JL, Williams RE, Williams MN, Habtie GR, Kraus S, Anugu N, Bouquin JL, Chhabra S, Codron I, Gardner T, Gutierrez M, Ibrahim N, Lanthermann C, Setterholm BR, Ashall C, Hinkle JT, Jaeger T, Payne AV.   +41 more
europepmc   +1 more source

Proso Millet (Panicum miliaceum): Nutritional Composition, Functional Attributes, and Health Implications

Future Postharvest and Food, EarlyView.
A nutrient‐dense grain, proso millet is well‐known for its high protein content and vital amino acids. It is high in fiber, vitamins, and minerals and has many health advantages, including promoting heart health, enhancing digestion, and helping with weight management.
Sangeeta Yadav, Pratiksha Singh, Mazia Ahmed, Pinki Saini   +3 more
wiley   +1 more source

Growth hormone-deficient Ames dwarf mice resist sarcopenia and exhibit enhanced endurance running performance at 24 months. [PDF]

Geroscience
Johnston MJ, Rakoczy SG, Thompson LV, Brown-Borg HM.   +3 more
europepmc   +1 more source

Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil

Greenhouse Gases: Science and Technology, EarlyView.
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira, Beatriz R. Almeida, Thiago R. C. Justino, Carlos A. S. Santos, Alex A. Santos, Fabiana Philipi   +5 more
wiley   +1 more source

Predicting the diversity of photosynthetic light-harvesting using thermodynamics and machine learning. [PDF]

PLoS Comput Biol
Gray C, Chitnavis S, Buja T, Duffy CDP.
europepmc   +1 more source