Results 31 to 40 of about 105,372 (383)

Return to rapid ice loss in Greenland and record loss in 2019 detected by the GRACE-FO satellites

open access: yesCommunications Earth & Environment, 2020
Between 2003-2016, the Greenland ice sheet (GrIS) was one of the largest contributors to sea level rise, as it lost about 255 Gt of ice per year. This mass loss slowed in 2017 and 2018 to about 100 Gt yr−1. Here we examine further changes in rate of GrIS
I. Sasgen   +8 more
semanticscholar   +1 more source

Reporting chronic kidney disease in Greenland

open access: yesInternational Journal of Circumpolar Health, 2023
Background: Chronic kidney disease (CKD) is a major health burden affecting more than 10% of the global population. It is a multifactorial disease with many risk factors attributed lifestyle diseases.
Fabian Bøgild Lomstein   +4 more
doaj   +1 more source

An introduction to causal inference for pharmacometricians

open access: yesCPT: Pharmacometrics &Systems Pharmacology, Volume 12, Issue 1, Page 27-40, January 2023., 2023
Abstract As formal causal inference begins to play a greater role in disciplines that intersect with pharmacometrics, such as biostatistics, epidemiology, and artificial intelligence/machine learning, pharmacometricians may increasingly benefit from a basic fluency in foundational causal inference concepts.
James A. Rogers   +2 more
wiley   +1 more source

Subglacial roughness of the Greenland Ice Sheet: relationship with contemporary ice velocity and geology

open access: yesThe Cryosphere, 2019
. The subglacial environment of the Greenland Ice Sheet (GrIS) is poorly constrained both in its bulk properties, for example geology, the presence of sediment, and the presence of water, and interfacial conditions, such as roughness and bed rheology ...
M. Cooper   +5 more
semanticscholar   +1 more source

Multimessenger Potential of the Radio Neutrino Observatory in Greenland [PDF]

open access: yes, 2023
The Radio Neutrino Observatory in Greenland (RNO-G) is the only ultrahigh energy (UHE, ${\gtrsim}30$~PeV) neutrino monitor of the Northern sky and will soon be the world's most sensitive high-uptime detector of UHE neutrinos. Because of this, RNO-G represents an important piece of the multimessenger landscape over the next decade. In this talk, we will
arxiv   +1 more source

The smut fungi of Greenland [PDF]

open access: yesMycoKeys, 2020
The first taxonomic treatment of the smut fungi in Greenland is provided. A total of 43 species in 11 genera are treated and illustrated by photographs of sori, microphotographs of spores in LM and SEM, and distribution maps. Two species, Anthracoidea pseudofoetidae and Urocystis tothii, are recorded as new from North America.
Cvetomir M. Denchev   +4 more
openaire   +6 more sources

Prevalence and quality of care among patients using medication targeting obstructive lung disease: a cross-sectional study in the five regions of Greenland

open access: yesInternational Journal of Circumpolar Health, 2021
The aim of this study was to estimate the age- and gender-specific prevalence and quality of care among patients using medication targeting obstructive lung disease in the five regions of Greenland. The study was designed as a cross-sectional study. Data
Mathilde Vesterager Lauridsen   +4 more
doaj   +1 more source

Comment: The Need for Syncretism in Applied Statistics [PDF]

open access: yesStatistical Science 2010, Vol. 25, No. 2, 158-161, 2010
Comment on "The Need for Syncretism in Applied Statistics" [arXiv:1012.1161]
arxiv   +1 more source

Continuity of Ice Sheet Mass Loss in Greenland and Antarctica From the GRACE and GRACE Follow‐On Missions

open access: yesGeophysical Research Letters, 2020
We examine data continuity between the Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow‐On (FO) missions over Greenland and Antarctica using independent data from the mass budget method, which calculates the difference between ice sheet ...
I. Velicogna   +10 more
semanticscholar   +1 more source

Automatic flower detection and phenology monitoring using time‐lapse cameras and deep learning

open access: yesRemote Sensing in Ecology and Conservation, Volume 8, Issue 6, Page 765-777, December 2022., 2022
We present an automatized method for monitoring flower phenology of specific plant species trough full growing seasons and across geographical regions. The method couples image‐based monitoring of field plots with a dedicated convolutional neural network to detect and count flowers in the images, and returns information on flowering phenology at ...
Hjalte M. R. Mann   +7 more
wiley   +1 more source

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