Results 231 to 240 of about 1,223,609 (376)
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
Non-adaptive Radiation Promotes Phenotypic Diversification and Convergent Evolution of Aposematic Mimicry in a Highly Diverse Genus of Megaloptera. [PDF]
Tu Y +6 more
europepmc +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
Alkene Diversification through a Molecular Recasting Strategy Enabled by <i>N</i>-Heterocyclic Carbene and Photoredox Dual Catalysis. [PDF]
Li QZ +6 more
europepmc +1 more source
Review of: "Land Size Class Wise Growth of Crop Diversification Index: A Case Study From Murshidabad District of West Bengal" [PDF]
José Antônio Aleixo da Silva
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
Diversification on Small Farms: An Empirical Investigation of Panel Data for 2001–10
Pakistan’s agricultural sector has experienced restructuring over the last decade, from changes in land markets to the move toward nonagricultural labor markets.
Sadia Hussain, Farah Said
doaj
Rice price volatility and dietary diversity in Bangladeshi farm households: panel data evidence. [PDF]
Mastura T +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

