Results 101 to 110 of about 958,943 (309)
Microstructure Evolution of a VMnFeCoNi High‐Entropy Alloy After Synthesis, Swaging, and Annealing
The synthesis and processing (rotary swaging and annealing) of the novel VMnFeCoNi alloy is investigated, alongside the estimation of the grain size effect on hardness. Analysis of a wide grain size range of recrystallized microstructures (12–210 µm) reveals a low annealing twin density.
Aditya Srinivasan Tirunilai +6 more
wiley +1 more source
An approach to health and safety in E.U. forestry operations – Hazards and preventive measures [PDF]
Forestry in general and logging in particular continue to be among the three most hazardous sectors in European countries. The aim of this article is to characterize health and safety problems and solutions in E.U.
José Miquel Cabeças
core +1 more source
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar +7 more
wiley +1 more source
This paper analyzes how local institutional arrangements shape outcomes in the increasingly decentralized policy regimes of the non-industrialized world.
Krister Andersson
doaj
Laser‐Induced Graphene from Waste Almond Shells
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova +9 more
wiley +1 more source
Comparing the profitability of farming and forestry [PDF]
This paper updates an analysis of returns from major productive land uses in New Zealand carried out in 2008. Trends in profitability over time are shown, and a preliminary investigation of the relationship between land-use change towards forestry (new ...
Evison, David
core +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
DNA strands are employed both as dynamic linkers and nanoscale templates for the integration of Ag2S nanoparticles on MoS2, which in turn imparted photothermal responsiveness; this feature permits the selective cargo (fluorophore, quantum dots or an enzyme) release from the MoS2 surface in response to local heat induced by light irradiation.
Kai Chen +3 more
wiley +1 more source
This study presents a versatile approach to harnessing miscible aqueous domains, enabling liquid‐in‐liquid compartmentalization using a barrier formed in situ rather than bulk immiscibility. The barrier forms upon the complexation of multifunctional nanoparticles and ligands at the contact boundary of aqueous phases.
Seyyed Alireza Hashemi +7 more
wiley +1 more source
Estimating Production of Forest Cooperative Members [PDF]
This study develops methods of estimating annual marketings by members of forestry cooperatives in order to formulate a long range business plan for the cooperative.
Hoffman, Benjamin F., Jr.
core +1 more source

