University of Maryland, Baltimore County

About: University of Maryland, Baltimore County is a education organization based out in Baltimore, Maryland, United States. It is known for research contribution in the topics: Population & Galaxy. The organization has 8749 authors who have published 20843 publications receiving 795706 citations. The organization is also known as: UMBC.

How retroviruses select their genomes

Abstract: As retroviruses assemble in infected cells, two copies of their full-length, unspliced RNA genomes are selected for packaging from a cellular milieu that contains a substantial excess of non-viral and spliced viral RNAs. Understanding the molecular details of genome packaging is important for the development of new antiviral strategies and to enhance the efficacy of retroviral vectors used in human gene therapy. Recent studies of viral RNA structure in vitro and in vivo and high-resolution studies of RNA fragments and protein–RNA complexes are helping to unravel the mechanism of genome packaging and providing the first glimpses of the initial stages of retrovirus assembly.

Key ingredients to the success of an organization's knowledge management strategy

Abstract: Knowledge management is a key strategy that organizations are embracing to manage their organizational knowledge for strategic advantage Unfortunately, like any new and maturing field, overexpectations are being created by so-called knowledge management consultants and vendors This paper describes the six essential ingredients in order for knowledge management to have a chance of succeeding in an organization Copyright © 1999 John Wiley & Sons, Ltd and Cornwallis Emmanuel Ltd

A data review and re-assessment of ovarian cancer serum proteomic profiling

Abstract: The early detection of ovarian cancer has the potential to dramatically reduce mortality. Recently, the use of mass spectrometry to develop profiles of patient serum proteins, combined with advanced data mining algorithms has been reported as a promising method to achieve this goal. In this report, we analyze the Ovarian Dataset 8-7-02 downloaded from the Clinical Proteomics Program Databank website, using nonparametric statistics and stepwise discriminant analysis to develop rules to diagnose patients, as well as to understand general patterns in the data that may guide future research. The mass spectrometry serum profiles derived from cancer and controls exhibited numerous statistical differences. For example, use of the Wilcoxon test in comparing the intensity at each of the 15,154 mass to charge (M/Z) values between the cancer and controls, resulted in the detection of 3,591 M/Z values whose intensities differed by a p-value of 10-6 or less. The region containing the M/Z values of greatest statistical difference between cancer and controls occurred at M/Z values less than 500. For example the M/Z values of 2.7921478 and 245.53704 could be used to significantly separate the cancer from control groups. Three other sets of M/Z values were developed using a training set that could distinguish between cancer and control subjects in a test set with 100% sensitivity and specificity. The ability to discriminate between cancer and control subjects based on the M/Z values of 2.7921478 and 245.53704 reveals the existence of a significant non-biologic experimental bias between these two groups. This bias may invalidate attempts to use this dataset to find patterns of reproducible diagnostic value. To minimize false discovery, results using mass spectrometry and data mining algorithms should be carefully reviewed and benchmarked with routine statistical methods.

The 22 Month Swift-BAT All-Sky Hard X-ray Survey

Abstract: We present the catalog of sources detected in the first 22 months of data from the hard X-ray survey (14-195 keV) conducted with the Burst Alert Telescope (BAT) coded mask imager on the Swift satellite The catalog contains 461 sources detected above the 48σ level with BAT High angular resolution X-ray data for every source from Swift-XRT or archival data have allowed associations to be made with known counterparts in other wavelength bands for over 97% of the detections, including the discovery of ~30 galaxies previously unknown as active galactic nuclei and several new Galactic sources A total of 266 of the sources are associated with Seyfert galaxies (median redshift z ~ 003) or blazars, with the majority of the remaining sources associated with X-ray binaries in our Galaxy This ongoing survey is the first uniform all-sky hard X-ray survey since HEAO-1 in 1977 Since the publication of the nine-month BAT survey we have increased the number of energy channels from four to eight and have substantially increased the number of sources with accurate average spectra The BAT 22 month catalog is the product of the most sensitive all-sky survey in the hard X-ray band, with a detection sensitivity (48σ) of 22 × 10–11 erg cm–2 s–1 (1 mCrab) over most of the sky in the 14-195 keV band