Results 151 to 160 of about 524,650 (239)

volume 22, no. 2 (Summer 2015) [PDF]

open access: yes, 2015
Office of University Advancement, Bryant University
core   +1 more source

Enhancing Knowledge and Technology Transfer: Determinants and Indicators of Successful University–Industry Collaboration

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Both universities and companies create value and innovation to maintain their position and remain competitive. Different, but still similar, with two goals that are shared. With their collaboration, they can enhance their pursuit of sustainability and as well corporate social responsibility by creating and delivering value and thus ...
Jana Hojnik   +4 more
wiley   +1 more source

Excess Adiposity Without Obesity in a High-Risk Population.

open access: yesJAMA Netw Open
Palmer AB   +6 more
europepmc   +1 more source

Tick‐Tock, the Time Has Come: Leveraging TikTok to Understand, Prevent, and Treat Eating Disorders

open access: yesInternational Journal of Eating Disorders, EarlyView.
ABSTRACT Objective TikTok—a highly engaging social media platform with a powerful algorithm that displays short videos—has become massively popular in recent years. As research highlights the concerning relationship between image‐based content on social media and disordered eating symptoms, TikTok may serve as an optimal platform to understand eating ...
Macarena Kruger   +3 more
wiley   +1 more source

Vegetation on the move: elevational shifts and greening dynamics across the Himalayan alpine zone

open access: yesEcography, EarlyView.
This study investigates alpine ‘vegetation line' (the upper limit of continuous plant community) dynamics in the Himalayan alpine zone (HAZ) over a 24‐year timescale (1999–2022) using maximum NDVI products derived from Landsat series datasets, adjusted for sampling bias using phenological modelling.
Ruolin Leng   +5 more
wiley   +1 more source

One Health antimicrobial resistance modelling: from science to policy. [PDF]

open access: yesSci One Health
Redman-White CJ   +9 more
europepmc   +1 more source

Harnessing the power of machine and deep learning for transferring joint species distribution models considering the structure of biotic interactions

open access: yesEcography, EarlyView.
The transferability of single or joint species distribution models ((j)SDMs) depends on their ability to predict beyond the observed environmental range and to remain consistent despite shifts in biotic interactions. Transfer accuracy may be improved by recent advances in the application of deep learning that provide greater flexibility and potentially
Marco Basile   +44 more
wiley   +1 more source

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