Learning Styles Type Indicator: una adaptación para estudiantes medios y universitarios argentinos
Agustín Freiberg Hoffmann +1 more
openalex +2 more sources
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +1 more source
[Relationship between cerebral dominance and learning styles in Anesthesiology residents]. [PDF]
Ortega-Barreiro A +6 more
europepmc +1 more source
What Happens to the Principles of Evidence-Based Practice When Clinicians Become Educators? A Case Study of the Learning Styles Neuromyth. [PDF]
Patil A, Newton PM.
europepmc +1 more source
Preference of Learning Styles and its Relationship with Academic Performance among Junior Secondary School Students in Dutse Local Government Area, Jigawa State, Nigeria [PDF]
Joy N. Njoku, Basiru Abdulhamid
openalex +1 more source
This review highlights recent advances in label‐free optical biosensors based on 2D materials and rationally designed mixed‐dimensional nanohybrids, emphasizing their synergistic effects and novel functionalities. It also discusses multifunctional sensing platforms and the integration of machine learning for intelligent data analysis.
Xinyi Li, Yonghao Fu, Yuehe Lin, Dan Du
wiley +1 more source
Learning styles and their relationship with preferred teaching methodologies and academic achievement among medical students in teaching medical college, Tamil Nadu. [PDF]
Muniyapillai T +7 more
europepmc +1 more source
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
The impact of learning styles on attitudes to interprofessional learning among nursing students: a longitudinal mixed methods study. [PDF]
Lundell Rudberg S +4 more
europepmc +1 more source
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

