Results 61 to 70 of about 3,984,310 (349)

Spatial mode estimation for functional random fields with application to bioturbation problem [PDF]

open access: yes, 2009
This work provides a useful tool to study the effects of bioturbation on the distribution of oxygen within sediments. We propose here heterogeneity measurements based on functional spatial mode.
Cuny, Philippe   +4 more
core   +3 more sources

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

open access: yesFEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho   +3 more
wiley   +1 more source

Vulnerability and resistance in the spatial heterogeneity of soil microbial communities under resource additions

open access: yesProceedings of the National Academy of Sciences of the United States of America, 2020
Significance Ecosystems can provide diverse functions through their spatial heterogeneity, for example, by supporting high native biodiversity on infertile soils and high productivity on fertile soils.
Kelly Gravuer   +3 more
semanticscholar   +1 more source

By dawn or dusk—how circadian timing rewrites bacterial infection outcomes

open access: yesFEBS Letters, EarlyView.
The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo   +2 more
wiley   +1 more source

Genome-scale investigation of olfactory system spatial heterogeneity. [PDF]

open access: yesPLoS ONE, 2017
The early olfactory system is organized in parallel, with numerous, specialized subsystems established by the modular and topographic projections of sensory inputs.
Torben Noto   +2 more
doaj   +1 more source

Spatially heterogeneous wastage of Himalayan glaciers [PDF]

open access: yesProceedings of the National Academy of Sciences, 2011
We describe volumetric changes in three benchmark glaciers in the Nepal Himalayas on which observations have been made since the 1970s. Compared with the global mean of glacier mass balance, the Himalayan glaciers showed rapid wastage in the 1970s–1990s, but similar wastage in the last decade.
Koji, Fujita, Takayuki, Nuimura
openaire   +2 more sources

Geographical random forests: a spatial extension of the random forest algorithm to address spatial heterogeneity in remote sensing and population modelling

open access: yesGeocarto International, 2019
Machine learning algorithms such as Random Forest (RF) are being increasingly applied on traditionally geographical topics such as population estimation.
S. Georganos   +8 more
semanticscholar   +1 more source

Structural insights into lacto‐N‐biose I recognition by a family 32 carbohydrate‐binding module from Bifidobacterium bifidum

open access: yesFEBS Letters, EarlyView.
Bifidobacterium bifidum establishes symbiosis with infants by metabolizing lacto‐N‐biose I (LNB) from human milk oligosaccharides (HMOs). The extracellular multidomain enzyme LnbB drives this process, releasing LNB via its catalytic glycoside hydrolase family 20 (GH20) lacto‐N‐biosidase domain.
Xinzhe Zhang   +5 more
wiley   +1 more source

Spatial heterogeneity, industry heterogeneity, and entrepreneurship

open access: yesThe Annals of Regional Science, 2017
The prevalence of entrepreneurship varies not only across regions but also among industries. Using a unique panel dataset of 60 two-digit industries across 64 provinces from 2000 to 2010 in Vietnam, we investigate the importance of spatial and sectoral heterogeneity in an analysis of the determinants of entrepreneurship and empirically explore the ...
Hien Thu Tran, Enrico Santarelli
openaire   +3 more sources

Spatial heterogeneity automatic detection and estimation

open access: yesComputational Statistics & Data Analysis, 2023
Spatial regression is widely used for modeling the relationship between a dependent variable and explanatory covariates. Oftentimes, the linear relationships vary across space, when some covariates have location-specific effects on the response. One fundamental question is how to detect the systematic variation in the model and identify which locations
Xin Wang, Zhengyuan Zhu, Hao Helen Zhang
openaire   +3 more sources

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