The Dialogic Health Systems Research Framework (DHSRF): A tool for facilitating self-criticality, researcher interactions and knowledge management in Health Systems Research & Policy Studies. [PDF]
Priya R +8 more
europepmc +1 more source
The Tropical Eigenvalue-Vector Problem from Algebraic, Graphical, and Computational Perspectives
Alex W. Nowak
openalex +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
Patient reported outcome measures relevant to asthma remission: scoping review protocol. [PDF]
Michaud A +5 more
europepmc +1 more source
Mahalanobis' Fractile Graphical Analysis: A Historical Account with Some New Perspectives
Aurobindo Ghosh
openalex +1 more source
MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley +1 more source
This work presents the first example of multifunctional protein eutectogels based on a tannic acid: betaine low‐transition‐temperature mixture, exhibiting elastomeric behavior, strong adhesion to various substrates, including biological tissues, and notable anti‐inflammatory properties derived from the natural polyphenol and zwitterion.
Sergio Martin‐Saldaña +8 more
wiley +1 more source
Revisiting the efficacy of bismuth subsalicylate for the prevention of traveller's diarrhoea. [PDF]
Gibb RD +5 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

