Results 271 to 280 of about 2,078,364 (357)
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
An insight into Northern Wollo Monastery Forests: Examining plant species diversity, vegetation structure, and regeneration analysis of these relict ecosystems. [PDF]
Abebe A, Bekele T, Lulekal E.
europepmc +1 more source
Phylogenetic diversity and morphological characterization of cordycipitaceous species in Taiwan
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
Release of tree species diversity follows loss of elephants .from evergreen tropical forests. [PDF]
Terborgh J +6 more
europepmc +1 more source
Non‐covalent protein–protein interactions mediated by SH3, PDZ, or GBD domains enable the self‐assembly of stable and biocatalytically active hydrogel materials. These soft materials can be processed into monodisperse foams that, once dried, exhibit enhanced mechanical stability and activity and are easily integrated into microstructured flow ...
Julian S. Hertel +5 more
wiley +1 more source
Unveiling species diversity within Mortierellomycota from China X: Three new species in <i>Linnemannia</i> and one in <i>Mortierella</i>. [PDF]
Ji XY +6 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
Unexpected species diversity in the understanding of selenium-containing soil invertebrates. [PDF]
Mao B, Fang X, Lei H, Xiao Y, Fu Y.
europepmc +1 more source

