Results 181 to 190 of about 6,904,652 (331)
Ergodic theory on stationary random graphs [PDF]
Itaï Benjamini, Nicolas Curien
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
Enhancing security in electromagnetic radiation therapy using fuzzy graph theory. [PDF]
Lal R, Singh RK, Nishad DK, Khalid S.
europepmc +1 more source
Drug repositioning for non-small cell lung cancer by using machine learning algorithms and topological graph theory [PDF]
Chien‐Hung Huang +4 more
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
Investigating topological alterations in procedural memory network across neuropsychiatric disorders using rs-fMRI and graph theory. [PDF]
Mohammadkhanloo M +3 more
europepmc +1 more source
On-line Ramsey Theory for Bounded Degree Graphs [PDF]
Jane Butterfield +5 more
openalex +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
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

