Results 41 to 50 of about 3,162,655 (261)
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Dundee Discussion Papers in Economics 253:Spatial Interactions in Hedonic Pricing Models: The Urban Housing Market of Aveiro, Portugal [PDF]
, 2011 Spatial heterogeneity, spatial dependence and spatial scale constitute key features of spatial analysis of housing markets. However, the common practice of modelling spatial dependence as being generated by spatial interactions through a known spatial ...
Bhattacharjee, Arnab +3 more
core +1 more source
Encapsulating Spatially Varying Relationships with a Generalized Additive Model
ISPRS International Journal of Geo-InformationThis paper describes the use of Generalized Additive Models (GAMs) to create regression models whose coefficient estimates vary with geographic location—spatially varying coefficient (SVC) models. The approach uses Gaussian Process (GP) splines (smooths)
Alexis Comber +6 more
doaj +1 more source
Soil Spatial Heterogeneity and Systems of Agriculture
Agricultural Science and Practice, 2015 Aim. To consider soil continuality and discreteness as features of heterogeneity manifestation in a soil cover, important for construction of agriculture systems. Methods. Geostatistical research of soil spatial heterogeneity, revealing the contours of a
V. Medvedev
doaj +1 more source
Spatial Heterogeneity of Field Capacity of Chernozem Soil in Northeast of China
Guan'gai paishui xuebao, 2021 【Background】 The soil moisture characteristic has the obvious spatial heterogeneity, and the determination of its spatial heterogeneity is the theoretical basis for the precision management of soil water.
LIU Jilong +7 more
doaj +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
, 2021 Conventionally, food web models have been developed based on the mean-field approach ignoring small-scale spatial variability. The closure modeling approach, which accounts for both fluctuations and spatial means, is an effective way to model the impact ...
S. Lan, Smith +3 more
core +1 more source
Testing spatial heterogeneity with stock assessment models.
PLoS ONE, 2018 This paper describes a methodology that combines meta-population theory and stock assessment models to gain insights about spatial heterogeneity of the meta-population in an operational time frame.
Ernesto Jardim +15 more
doaj +1 more source
Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Evaluating the Temporal and the Spatial Heterogeneity of the European Convergence Process, 1980-1999 [PDF]
In this paper, we suggest a general framework that allows testing simultaneously for temporal heterogeneity, spatial heterogeneity and spatial autocorrelation in b-convergence models.
Julie LE GALLO (IERSO, IFReDE-GRES) +1 more
core +2 more sources