As with any psychometric models, the validity of inferences from cognitive diagnosis models
(CDMs) determines the extent to which these models can be useful. For inferences from …

Accurately estimating reservoir parameters from geophysical data is vitally important in
hydrocarbon exploration and production. We have developed a new joint-inversion algorithm to …

This study explores the use of ground penetrating radar (GPR) tomographic velocity, GPR
tomographic attenuation, and seismic tomographic velocity for hydraulic conductivity …

Sharp and repetitive stripes exist in many bands of Chinese Moderate Imaging Spectroradiometer
(CMODIS) images because of gain and offset variations between neighboring forward …

This research letter presents preliminary results of mapping rice crop growth using ENVISAT
advanced synthetic aperture radar (ASAR) alternating polarization HH/HV data. Four ASAR …

Hyperspectral imaging technology has evolved for over thirty years and is widely used for
geologic mapping, environmental monitoring, vegetation analysis, atmospheric …

Physically distributed hydrological models are effective in hydrological simulations of large
river basins, but the complex characteristics of hydrological features limit their application. An …

A multidisciplinary research team has conducted a field‐scale bacterial transport study within
an uncontaminated sandy Pleistocene aquifer near Oyster, Virginia. The overall goal of the …

Photocatalytic reactions for fuel generation are crucial for the world's energy needs.
Covalent‐Organic‐Frameworks (COFs) have been extensively studied as promising designable …

Polytomous attributes, particularly those defined as part of the test development process, can
provide additional diagnostic information. The present research proposes the polytomous …