Results 101 to 110 of about 1,309,025 (309)
International Journal of Technology, 2018 The primary input for hydrological the hydrological model is rainfall. The accurate illustration of rainfall in time and space is important for rainfall-runoff modeling since it impact the hydrological responses.
Evi Anggraheni +4 more
doaj +1 more source
Clustering and classifying images with local and global variability [PDF]
A procedure for clustering and classifying images determined by three classification variables is presented. A measure of global variability based on the singular value decomposition of the image matrices, and two average measures of local variability ...
Andrea Giuliodori +2 more
core
Spatial variability of groundwater recharge - II. Factors affecting variability and taking account of it in estimating recharge [PDF]
, 2004 The accompanying paper provided evidence to suggest that spatial variability of groundwater recharge is ‘true’ variability. This paper attempts to determine the major causes of such variability even at small distances, if there appear to be a frequency ...
De Silva, RP
core
Preventive planning model for rescue priority management in seismic emergency [PDF]
, 2018 Natural materials, such as soils, are influenced by many factors acting during their formative and evolutionary process: atmospheric agents, erosion and transport phenomena, sedimentation conditions that give soil properties a non-reducible randomness by
Cardarilli, Monica +2 more
core +1 more source
FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
A spatial multilevel analysis of Italian SMEs Productivity [PDF]
In this paper, we adapt multilevel analysis methods to investigate the spatial variability of SMEs productivity across the Italian territory, and account for differences in the socio-economic context.
Davide Piacentino, Giorgio Fazio
core
A Simultaneous Optical and X-ray Variability Study of the Orion Nebula Cluster. II. A Common Origin in Magnetic Activity [PDF]
, 2007 We present a statistical analysis of simultaneous optical and X-ray light curves, spanning 600 ks, for 814 pre-main-sequence (PMS) stars in the Orion Nebula Cluster.
Berg, M. van den +2 more
core +2 more sources
Spatial variability - So what?
, 2006 Since the landmark papers of Conway and Abrahamson many studies have tried to quantify spatial variability. Many different methods have been used and the studies covered a variety of scales. Accordingly, some results appear contradictory, suggesting that the degree of spatial variation varies widely.
Schweizer, Jürg +3 more
openaire +2 more sources
FEBS Open Bio, EarlyView.We first identified functional murine mitochondrial N‐formyl peptides (MT‐FPs) and investigated their effects on the in vitro myeloid‐derived suppressor cell (MDSC) generation from bone marrow cells. We demonstrated that MT‐FPs acted directly on bone marrow cells to promote MDSC generation and modulated the polymorphonuclear (PMN)‐MDSC/monocyte (M ...
Miyako Ozawa +2 more
wiley +1 more source
Seasonal and annual variations of sugarcane within-field variability, as observed in spot time series [PDF]
, 2007 At the field scale, crop spatial variability is related to multiple factors that are time-dependant. In this paper, we analyzed the within-field variability of a sugarcane crop at two different time-scales, season and year, and try to relate this ...
Bégué, Agnès +2 more
core