PEST is a numerical algorithm developed for the simulation in a rectangular R 2 or R 3 domain of a stochastic, isotropic, scalar eld which is conditioned pointwise to a set of measurements. The eld is characterized by heterogeneity variation described either by a two point covariance function C(r) or semivariogram (r) for pairs of points separated by distance r. Numerical examples using PEST ar...

Geostatistical algorithms that consider multiple-point statistics are becoming increasingly popular. These methods allow for the reproduction of complicated features beyond the commonly implemented two-point statistic: the covariance or semivariogram. In practice, it is not possible to infer many multiple-point statistics directly from the available data; therefore, it is common to borrow stati...

abstract background: the family of cancer patients experience burden of care because of their caring role. therefore, appropriate and effective interventions are essential in order to decrease burden. the goal of the present research was to determine the effect of a family need–based program on the burden of care in caregivers of leukemia patients. materials and methods: in this clinical resear...

In this research, different experimental techniques have been used to determine the strength of four types of travertines, selected from Hamedan and Markazi Provinces, west and central parts of Iran respectively. For this purpose, after sample preparation and assessment of mineral properties, the selected samples were subjected to physical and mechanical tests with special reference to two majo...

Die Moving-Window-Technologie ist eine Rahmenmethode zur Beschreibung der Verteilung von räumlich verteilten Objekten in der Landschaft. Über die Größe und Form des Analysefensters ist der Generalisierungsgrad skalierbar. An Beispieldaten aus dem Atlas für Farnund Blütenpflanzen Ostdeutschlands werden darauf basierende Methoden zur Generalisierung und Disaggregation im Vergleich mit konventione...