This book chapter provides an overview of the genomics and postgenomic technologies that are likely to have the greatest impacts on agronomy over the next 10-20 years and describes a number of case studies of their application.

Article on early steps in proanthocyanidin biosynthesis in the model legume Medicago truncatula.

This presentation discusses the research of sensor synchronization, sensor grid routing, and voice over internet protocol (VoIP).

This article discusses enthalpy of solvation correlations for gaseous solutes dissolved in chloroform and 1,2-dichloroethane based on the Abraham model.

Article discussing an experimental thermochemical study of 6-chloro-2,3-dimethylquinoxaline 1,4-dioxide and DFT evaluation of the N-O bond enthalpies in related haloquinoxalines.

Article on an exploratory study of alkali sulfate aerosol formation during biomass combustion.

This article discusses future environmental philosophies and their biocultural conservation interfaces.

This paper discusses a time synchronization scheme for wireless sensor networks that aims to conserve sensor battery power while maintaining network connectivity for as long as possible.

This report aims to provide the reader with an overview of the Human Capital, Research and Development, Financial Capital, Industrial Base, Legal and Regulatory Environment, Physical Infrastructure, and Quality of Life Assets for the Dallas/Fort Worth metroplex.

Article discussing models of human-nature interactions and a biocomplexity approach.

This article gives a common theoretical treatment for gradient and Newton type methods for general classes of problems.

This article describes the evaluation of the capability of passive interceptors with multiple gates for directing the flow of contaminated groundwater.

This paper describes a new approach for estimating term weights in a document, and shows how the new weighting scheme can be used to improve the accuracy of a text classifier.

With a current population of just over half a million and a 2030 projected population of approximately one million, expansion throughout Denton County shows no sign of slowing down (NCTCOG). Increasingly, freshwater resources are also facing increased pressure from this urban expansion. Effective assessment and management techniques are necessary to protect the diversity of ecosystem services found within fluvial ecosystems and to mitigate current and future conditions of environmental stressor amplified by urban development. The use of various spatial analysis techniques in environmental assessment present more expedient, cost effective, and broader ranging methods of evaluation than traditional field techniques. One such novel evaluation technique is the Water Quality Corridor Management (WQCM) model, developed by the University of North Texas in cooperation with the Upper Trinity Regional Water District (UTRWD). The WQCM model is a geospatial database that utilizes GIS and remote sensing techniques to assess and prioritize stream reaches according to their overall health and sustainability. This project assessed the viability of the WQCM model in reviewing the status of stream systems, and ultimately, established an accurate mechanism for evaluating the stream corridor and surface water quality draining into Lewisville Lake, a popular recreation site and drinking water source for …

This report represents the findings of a study which "assessed the viability of the Water Quality Corridor Management (WQCM) model in reviewing the status of stream systems, and ultimately, established an accurate mechanism for evaluating the stream corridor and surface water quality draining into Lewisville Lake" (p. 1).

This paper describes an unsupervised graph-based method for word sense disambiguation, and presents comparative evaluations using several measures of word semantic similarity and several algorithms for graph centrality. The results indicate that the right combination of similarity metrics and graph centrality algorithms can lead to a performance competing with the state-of-the-art in unsupervised word sense disambiguation, as measured on standard data sets.