Results 101 to 110 of about 502,810 (258)
Access to Finance and Innovation in the Canadian Food Processing
ABSTRACT Innovation is a presumed channel through which finance affects productivity, yet there is limited research testing the relationship between finance and innovation in the food manufacturing sector. The purpose of the paper is to explore the determinants (e.g., financing, R&D, firm size, expenditure on innovation) of the adoption of innovation ...
Getu Hailu, Deepananda Herath
wiley +1 more source
ABSTRACT Native plants offer a variety of aesthetic (e.g., fall colour, fruit, flowers) and functional benefits (e.g., pollinator friendly, wildlife friendly, water management). How these benefits influence consumer choice and perceived value of native versus introduced plants is not well understood.
Alicia Rihn +3 more
wiley +1 more source
Alternative Policy Designs to Help Farmers Select Profitable Conservation Practices
ABSTRACT Voluntary private carbon initiatives (VPCIs) promote the implementation of agricultural conservation practices that mitigate emissions of greenhouse gases (GHGs) via financial incentives to participating farmers. Simultaneously, an array of public policies supports the adoption of conservation practices through technical and financial ...
Oranuch Wongpiyabovorn +1 more
wiley +1 more source
Abstract Mixed‐conducting ceramic hollow fiber membranes are a versatile platform for oxygen separation, value‐added chemical production, and oxy‐combustion. Because oxygen permeation is thermally activated, these systems typically rely on bulky, energy‐intensive furnaces that suffer from low efficiency and large thermal inertia.
Gang Wang +2 more
wiley +1 more source
A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam +5 more
wiley +1 more source
Probing Machine Learning Interatomic Potentials on Ion Transport Properties
We perform a systematic benchmark of six state‐of‐the‐art universal machine learning interatomic potentials on their ability to predict ion transport properties in lithium‐ and sodium‐based superionic conductors relevant to all‐solid‐state batteries.
Ogheneyoma Aghoghovbia +2 more
wiley +1 more source
Metamorphic turnover at 2 Ga related to two-stage assembly of Columbia
Understanding the stabilization of cratons and how this is related to the onset of plate-tectonics is among the most important questions in geoscience.
Silvia Volante, Uwe Kirscher
doaj +1 more source
SuperResNET is a powerful integrated software that reconstructs network architecture and molecular distribution of subcellular structures from single molecule localization microscopy datasets. SuperResNET segments the nuclear pore complex and corners, extracts size, shape, and network features of all segmented nuclear pores and uses modularity analysis
Yahongyang Lydia Li +6 more
wiley +1 more source
Matthew Hirabayashi,1 Gurpal Virdi,2,3 Andrew J Abramson,4 Taj Nasser,5 Anthony Vanrachack,1 Gregory Parkhurst1 1Parkhurst NuVision LASIK Eye Surgery, San Antonio, TX, USA; 2University of Missouri Columbia School of Medicine, Columbia, MO, USA; 3Mason ...
Hirabayashi M +5 more
doaj

