Results 161 to 170 of about 1,095,590 (399)
3D Bioinspired Hair‐Based Solar Evaporator for Efficient Water Harvesting
Advanced Functional Materials, EarlyView.A bio‐derived solar evaporator inspired by blackbody radiation is developed using human hair waste. The vertically aligned hair structure enables broadband light absorption, efficient thermal localization, and rapid water transport, achieving high evaporation rates and stable desalination performance.
Yi Liu +10 more
wiley +1 more source
Modelling Climate Change Impacts on Agriculture and Forestry with the Extended LTEM (Lincoln Trade and Environment Model) [PDF]
In the land-based sectors, agricultural production generally is a source of carbon, while forestry may be thought to act as a sink. This paper focuses on new research examining the interaction of the two. The core of the research is the Lincoln Trade and
Kaye-Blake, William +1 more
core +1 more source
Farm-Forestry, Smallholder Farms and Policy Support – The Way Ahead
, 2021 V. C. Pande
openalex +2 more sources
Advanced Functional Materials, EarlyView.The first cryo‐EM visualization and quantification of oriented Photosystem I (PSI) on single‐layer graphene is reported. Domain‐specific covalent anchoring of PSI, with the reducing side of the biophotocatalyst toward graphene, promotes three‐fold higher anodic photocurrent generation compared to a randomly physisorbed counterpart. This approach allows
Miriam Izzo +6 more
wiley +1 more source
Prof. dr. ing. Rostislav Bereziuc, Doctor Honoris Causa al Universităţii „Ştefan cel Mare” Suceava [Prof. dr. Rostislav Bereziuc, Doctor Honoris Causa of University „Ştefan cel Mare” Suceava] [PDF]
Bucovina Forestieră, 2015 Forestry Faculty
doaj
Diversification of European Union Member States Due to the Production of Renewable Energy from Agriculture and Forestry [PDF]
, 2018 Dorota Janiszewska, Luiza Ossowska
openalex +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.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
Advanced Functional Materials, EarlyView.This review discusses cellulose‐based hydrogels technology, analyzes their application progress in physiological signal monitoring, and explores the effects of pretreatment, crosslinking, and molding methods on gel performance, to provide valuable insights into the efficient utilization of plant fibers and the environmentally friendly development of ...
Zhiming Wang +8 more
wiley +1 more source