Academic use of digital resources: Disciplinary differences and the issue of progression revisited [PDF]
This paper examines the use of digital resources by academic staff in a single UK University and its influence on academic practice over a two to three year period.
Jones, Chris, Kemp, Bob
core
Electroactive Metal–Organic Frameworks for Electrocatalysis
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska +7 more
wiley +1 more source
Feasibility of contextualizing the Informed Health Choices learning resources in Italy: A pilot study in a primary school in Florence. [PDF]
Alderighi C +4 more
europepmc +1 more source
Report on the scoping study for the project on ‘Impact Evaluation Approaches for Collaborative Agricultural Research and Development’ [PDF]
In response to calls for new approaches for evaluating the impact of agricultural research and development programmes, and to the need to improve the impact of these programmes to meet the global demand for greater food security, a scoping study was ...
CGIAR Institutional Learning and Change Initiative +2 more
core
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva +9 more
wiley +1 more source
Higher Education outreach to widen participation: toolkits for practitioners. Overview [PDF]
The toolkits are a distillation of the learning, methods and resources developed by Aimhigher and the Lifelong Learning Network programmes to support the effective strategy, management and delivery of outreach work to encourage progression to higher ...
Dent, Phil +5 more
core +2 more sources
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Ancient sites as ethnomathematics for strengthening Profil Pelajar Pancasila in Malang
This study aims to determine the effectiveness of learning mathematics using ancient sites as a source of learning and to raise students' awareness of protecting and preserving ancient sites.
Wikan Budi Utami +2 more
doaj +1 more source
Preclerkship Medical Students' Use of Third-Party Learning Resources.
Lawrence ECN, Dine CJ, Kogan JR.
europepmc +1 more source
A unidirectional cerebral organoid–organoid neural circuit is established using a microfluidic platform, enabling controlled directional propagation of electrical signals, neuroinflammatory cues, and neurodegenerative disease–related proteins between spatially separated organoids.
Kyeong Seob Hwang +9 more
wiley +1 more source

