Results 181 to 190 of about 1,860,518 (333)
An attenuated eddy covariance method for latent heat flux measurements [PDF]
Nelson Luı́s Dias +3 more
openalex +1 more source
Pubertal Hormones and the Early Adolescent Female Brain: A Multimodality Brain MRI Study
A multimodal analysis with cross‐validation was employed to examine the associations between pubertal hormones (oestradiol, testosterone, and dehydroepiandrosterone) and brain structure and function in early adolescent females. The findings indicate both unique and overlapping neural correlates of these hormones.
Muskan Khetan +6 more
wiley +1 more source
Assessing the Accuracy of Eddy‐Covariance Measurement at Different Source Emission Scenarios [PDF]
Shuo Liu +10 more
openalex +1 more source
Accelerated Diffusion Basis Spectrum Imaging With Tensor Computations
We introduce a new framework for accelerated processing of diffusion‐weighted imaging (DWI) data using a machine learning approach to optimize parameter estimation. We demonstrate that this new method, called DBSIpy, significantly improves computational speed and robustness to Rician noise compared to the standard DBSI method, with the improvements ...
Kainen L. Utt +3 more
wiley +1 more source
Using the most complete summary of 20 years of riparian plant water use studies in North American drylands to date, we examine broad patterns of plant water use by vegetation type and across climate gradients. Marshes, cottonwood‐willow stands and tamarisk use larger amounts of water than other communities, and all communities have higher water use in ...
Emily C. Palmquist +5 more
wiley +1 more source
Development of a footprint description tool utilizing SMEAR Estonia eddy-covariance data and footprint modelling in combination with remote sensed forest species and land cover data [PDF]
Joonas Kollo +4 more
openalex +1 more source
Measuring evapotranspiration using an eddy covariance system over the Albany Thicket of the Eastern Cape, South Africa [PDF]
Gibson, Lesley A. +3 more
core +1 more source
ABSTRACT Examining the extent to which measurements of rotation matrices are close to each other is challenging due measurement noise. To overcome this, data is typically smoothed, and the Riemannian and Euclidean metrics are applied. However, if rotation matrices are not directly measured and are instead formed by eigenvectors of measured symmetric ...
P. D. Ledger +2 more
wiley +1 more source

