Results 31 to 40 of about 376,997 (285)
Comparison Between Deterministic and Stochastic Interpolation Methods for Predicting Ground Water Level in Baghdad [PDF]
Engineering and Technology Journal, 2018 Surface interpolation techniques are usually used to create continuous data (i.e. raster data) from distributed set of point data over a geographical region.
Muammar Ali +2 more
doaj +1 more source
Spatial interpolation of high-frequency monitoring data
, 2009 Climate modelers generally require meteorological information on regular grids, but monitoring stations are, in practice, sited irregularly. Thus, there is a need to produce public data records that interpolate available data to a high density grid ...
Stein, Michael L.
core +1 more source
The newfound relationship between extrachromosomal DNAs and excised signal circles
FEBS Letters, EarlyView.Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley +1 more source
OPTIMISATION OF KAOLIN DEPOSIT MODELING USING GEOSTATISTICAL METHODS OF SPATIAL INTERPOLATION [PDF]
Sustainable Extraction and Processing of Raw Materials Journal. The paper presents a comprehensive approach to optimising kaolin deposit modelling using geostatistical methods of spatial interpolation. The study focuses on improving the assessment of the spatial distribution of mineral components using the example
Ihor Piskun +2 more
doaj +1 more source
Discrete natural neighbour interpolation with uncertainty using cross-validation error-distance fields [PDF]
PeerJ Computer Science, 2020 Interpolation techniques provide a method to convert point data of a geographic phenomenon into a continuous field estimate of that phenomenon, and have become a fundamental geocomputational technique of spatial and geographical analysts.
Thomas R. Etherington
doaj +2 more sources
Spatial Interpolation contribution to noise maps uncertainty [PDF]
, 2010 Noise maps results are usually presented as contour graphs or isophone curves, which describe the sound levels as functions of spatial location. These maps are added to Geographic Information Systems (GIS), allowing sound level evaluation as a function
Asensio Rivera, César +4 more
core +1 more source
Coastline Kriging: A Bayesian Approach
, 2018 Statistical interpolation of chemical concentrations at new locations is an important step in assessing a worker's exposure level. When measurements are available from coastlines, as is the case in coastal clean-up operations in oil spills, one may need ...
Abdalla, Nada +4 more
core +1 more source
In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS
FEBS Letters, EarlyView.We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka +11 more
wiley +1 more source
FEBS Letters, EarlyView.This study reveals a unique active site enriched in methionine residues and demonstrates that these residues play a critical role by stabilizing carbocation intermediates through novel sulfur–cation interactions. Structure‐guided mutagenesis further revealed variants with significantly altered product profiles, enhancing pseudopterosin formation. These
Marion Ringel +13 more
wiley +1 more source
Distance in spatial interpolation of daily rain gauge data [PDF]
Hydrology and Earth System Sciences, 2006 Spatial interpolation of rain gauge data is important in forcing of hydrological simulations or evaluation of weather predictions, for example. This paper investigates the application of statistical distance, like one minus common variance of observation
B. Ahrens, B. Ahrens
doaj