Results 41 to 50 of about 267,471 (263)
Dealing with spatial heterogeneity [PDF]
Heterogeneity can be dealt with by defining homogeneous equivalent properties, known as averaging, or by trying to describe the spatial variability of the rock properties from geologic observations and local measurements. The techniques available for these descriptions are mostly continuous Geostatistical models, or discontinuous facies models such as ...
de Marsily, Ghislain +5 more
openaire +2 more sources
Natural Killer Cells in Paediatric Soft Tissue Sarcomas: A Systematic Review
ABSTRACT Paediatric soft tissue sarcomas (pSTS) are a rare and heterogeneous group of malignant tumours arising in tissues of mesenchymal origin. The role of natural killer (NK) cells in pSTS remains poorly understood, with evidence fragmented across small preclinical studies and early‐phase clinical trials.
Raya Dean +7 more
wiley +1 more source
SOTIP is a versatile method for microenvironment modeling with spatial omics data
Methods that analyse heterogeneity and compare tissue microenvironments using spatial omics data are challenging to develop. Here, the authors present SOTIP, a method that can perform spatial heterogeneity, spatial domain, and differential ...
Zhiyuan Yuan +6 more
doaj +1 more source
Organoids in pediatric cancer research
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
Soil Spatial Heterogeneity and Systems of Agriculture
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
The aim of this paper is to present developments of an advanced geospatial analytics algorithm that improves the prediction power of a random forest regression model while addressing the issue of spatial dependence commonly found in geographical data. We
Stefanos Georganos, Stamatis Kalogirou
doaj +1 more source
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
Encapsulating Spatially Varying Relationships with a Generalized Additive Model
This 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
Testing spatial heterogeneity with stock assessment models.
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
Spatial heterogeneity, industry heterogeneity, and entrepreneurship
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

