Rust College is a historically black liberal arts college located in Holly Springs, Mississippi. Located approximately 35 miles southeast of Memphis, Tennessee, it is the second-oldest private college in the state. Affiliated with the United Methodist Church, it is one of ten historically black colleges and universities founded before 1868 that is still operating. Wikipedia.
Sheikh M.,Rust College |
Conlon S.,University of Mississippi
Journal of Computer Information Systems | Year: 2012
Extracting up-to-date information from financial documents can be important in making investment decisions. However, the unstructured nature and enormity of the volume of such data makes manual analysis tedious and time consuming. Information extraction technology can be applied to automatically extract the most relevant and precise financial information. This paper introduces a rule-based information extraction methodology for the extraction of highly accurate financial information to aid investment decisions. The methodology includes a rule-based symbolic learning model trained by the Greedy Search algorithm and a similar model trained by the Tabu Search algorithm. The methodology has been found very effective in extracting financial information from NASDAQ-listed companies. Also, the Tabu Search based model performed better than some well-known systems. The simple rule structure makes the system portable and it should make parallel processing implementations easier. Source
Sinha S.K.,Sinhatech |
Sinha S.,Rust College
SAE International Journal of Commercial Vehicles | Year: 2010
An economical method for reliably determining fleet fuel savings that arises out of the application of a vehicle fuel saving measure is presented. The method relies on testing the device on a random sample of vehicles during normal fleet operations. The sample size is determined by variations in fuel economy inherent in the fleet and the minimum increase in fuel economy needed for a desired return on investment in the device. This reduces the probability that the sample is biased. The sample fuel economy is compared to that of an untreated control group of trucks which can be the rest of the fleet or a subset with certain characteristics, like similar idling percentage. The final results provide a range of fuel economy enhancements at a given confidence level. The method has been applied to validate in operation fuel economy increase of a flatbed tractor trailer fleet due to Sinhatech's Deturbulator aero-drag reducing device. © 2010 SAE International. Source
Cook S.M.,Jackson State University |
Aker W.G.,Jackson State University |
Rasulev B.F.,Jackson State University |
Hwang H.-M.,Jackson State University |
And 3 more authors.
Journal of Hazardous Materials | Year: 2010
Assessment of C60 nanotoxicity requires a variety of strategies for dispersing it into biological systems. Our objective was to determine organic solvent/surfactant combinations suitable for this purpose. We used Escherichia coli (ATCC# 25254) to determine the cytotoxicity of C60 in solvents at concentrations up to 100 ppm. In this preliminary study we hypothesized that C60 toxicity is directly correlated with its degree of dispersion in solution and that more solubilizing solvents induce higher toxicity. Test solvent concentration (1%) and Tween 80 (0.04%) were based on E. coli viability assay. Sonication was used to further enhance C60 dispersal. The end-point response was measured with viability (in terms of LC50) and general metabolic activity (in terms of IC50) of E. coli cultures after exposure. The ultimate goal was to select safe dispersing media and enrich the database of C60 nanotoxicity for NanoQuantitative-Structure-Activity-Relationship (NanoQSAR) applications. LC50 range was 30 ppm to >400 ppm. IC50 followed the trend. Among the six solvent combinations, DMSO combined with Tween 80 was the optimum combination for defining a dose-response relationship for assessing its toxicity to E. coli. However, N,N-dimethylformamide has the greatest potential to be a safe solvent for C60 applications based upon its biocompatibility. Solvent solubility alone could not account for the cytotoxicity observed in this study. © 2009 Elsevier B.V. All rights reserved. Source
Cao Y.,Centers for Disease Control and Prevention |
Cao Y.,University of Tennessee Health Science Center |
Huang Y.,University of Tennessee Health Science Center |
Wang L.,University of Tennessee Health Science Center |
And 2 more authors.
Gene | Year: 2013
Structural changes in different parts of the brain in rheumatoid arthritis (RA) patients have been reported. RA is not regarded as a brain disease. Body organs such as spleen and lung produce RA-relevant genes. We hypothesized that the structural changes in the brain are caused by changes of gene expression in body organs. Changes in different parts of the brain may be affected by altered gene expressions in different body organs. This study explored whether an association between gene expressions of an organ or a body part varies in different brain structures. By examining the association of the 10 most altered genes from a mouse model of spontaneous arthritis in a normal mouse population, we found two groups of gene expression patterns between five brain structures and spleen. The correlation patterns between the prefrontal cortex, nucleus accumbens, and spleen were similar, while the associations between the other three parts of the brain and spleen showed a different pattern. Among overall patterns of the associations between body organs and brain structures, spleen and lung had a similar pattern, and patterns for kidney and liver were similar. Analysis of the five additional known arthritis-relevant genes produced similar results. Analysis of 10 nonrelevant-arthritis genes did not result in a strong association of gene expression or clearly segregated patterns. Our data suggest that abnormal gene expressions in different diseased body organs may influence structural changes in different brain parts. © 2012. Source