Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for incorporating spatial context into image segmentation and land-use classification problems. The spatial autoregression (SAR) model, which is an extension of the classical regression model for incorporating spatial depe...

Explosive growth in the size of spatial databases has highlighted the need for spatial data mining techniques to mine the interesting but implicit spatial patterns within these large databases. This thesis deals with reducing the computational complexity of the exact and approximate spatial autoregression (SAR) model solutions. Estimation of the parameters of the SAR model using Maximum Likelih...

The categorical structure-activity relationship (cat-SAR) expert system has been successfully used in the analysis of chemical compounds that cause toxicity. Herein we describe the use of this fragment-based approach to model ligands for the G protein-coupled receptor 119 (GPR119). Using compounds that are known GPR119 agonists and compounds that we have confirmed experimentally that are not GP...

group exhibits an extended antimicrobial spectrum including anti-pseudomonal activity and high stability to renal dehydropeptidase-I (DHP-I)1}. From the structureactivity relationship studies, we found that the basicity of the C-2 side chain is important for exhibiting antimicrobial activity especially against Pseudomonas aeruginosa by supporting good permeability through the outer membrane(OM)...

Both epinephrine and norepinephrine enhance the process of fat mobilization. This property of promoting lipolysis has been observed both in vitro by demonstrating the release of free fatty acids (FFA) and glycerol from adipose tissue within the medium, and in vivo by the increase in the levels of plasma FFA in the fasted, resting individual (1-3). It was the intent of this study to determine wh...

The species-area relationship (SAR) has proven to be one of the few strong generalities in ecology. The temporal analog of the SAR, the species-time relationship (STR), has received considerably less attention. Recent work primarily from the temperate zone has aimed to merge the SAR and the STR into a synthetic and unified species-time-area relationship (STAR) as originally envisioned by Presto...

BACKGROUND Developing structure-activity relationships (SARs) of molecules is an important approach in facilitating hit exploration in the early stage of drug discovery. Although information on millions of compounds and their bioactivities is freely available to the public, it is very challenging to infer a meaningful and novel SAR from that information. RESULTS Research discussed in the pres...

Computational data mining and visualization techniques play a central part in the extraction of structure-activity relationship (SAR) information from compound sets including high-throughput screening data. Standard statistical and classification techniques can be used to organize data sets and evaluate the chemical neighborhood of potent hits; however, such methods are limited in their ability...

Peroxisome proliferator-activated receptor gamma (PPAR) has been the focus of intense research, as ligands for this receptor have emerged as potent insulin sensitizers used in the treatment of type 2 diabetes mellitus (T2DM). A series of benzoyl 2-methyl indoles was subjected to quantitative structureactivity relationship (QSAR) analysis. The studies showed that the electronic properties, ener...

A general echo model is derived for the synthetic aperture radar (SAR) imaging with high resolution based on the scalar form of Maxwell’s equations. After analyzing the relationship between the general echo model in frequency domain and the existing model in time domain, a compressive sensing (CS) matrix is constructed from random partial Fourier matrices for processing the range CS SAR imaging...