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Institution

University of New Mexico

EducationAlbuquerque, New Mexico, United States
About: University of New Mexico is a education organization based out in Albuquerque, New Mexico, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 28870 authors who have published 64767 publications receiving 2578371 citations. The organization is also known as: UNM & Universitatis Novus Mexico.


Papers
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Journal ArticleDOI
TL;DR: There was evidence that approximately 40% of undiagnosed Cin 2 will regress over 2 years, but CIN 2 caused by HPV-16 may be less likely to regress than CIN2 caused by other high-risk–HPV genotypes.

373 citations

Journal ArticleDOI
TL;DR: Estimates of the average effectiveness of alcoholism treatment were derived from seven large multisite studies to provide a meaningful and data-based answer to the common question of how people fare, on average, after being treated for alcoholism.
Abstract: Objective: Following in the footsteps of several prior attempts, this review seeks a meaningful and data-based answer to the common question of how people fare, on average, after being treated for alcoholism (broadly defined as alcohol use disorders). Method: Findings from seven large multisite studies were combined to derive estimates of the average effectiveness of alcoholism treatment. To provide common outcome measures, conversion equations were used to compute variables not reported in the original studies. Results: During the year after treatment, 1 in 4 clients remained continuously abstinent on average, and an additional 1 in 10 used alcohol moderately and without problems. During this period, mortality averaged less than 2%. The remaining clients, as a group, showed substantial improvement, abstaining on 3 days out of 4 and reducing their overall alcohol consumption by 87%, on average. Alcohol-related problems also decreased by 60%. Conclusions: About one third of clients remain asymptomatic duri...

373 citations

Journal ArticleDOI
TL;DR: Recent progress and future prospects for understanding the mechanisms that generate power laws are described, and for explaining the diversity of species and complexity of ecosystems in terms of fundamental principles of physical and biological science are described.
Abstract: Underlying the diversity of life and the complexity of ecology is order that reflects the operation of fundamental physical and biological processes. Power laws describe empirical scaling relationships that are emergent quantitative features of biodiversity. These features are patterns of structure or dynamics that are self-similar or fractal-like over many orders of magnitude. Power laws allow extrapolation and prediction over a wide range of scales. Some appear to be universal, occurring in virtually all taxa of organisms and types of environments. They offer clues to underlying mechanisms that powerfully constrain biodiversity. We describe recent progress and future prospects for understanding the mechanisms that generate these power laws, and for explaining the diversity of species and complexity of ecosystems in terms of fundamental principles of physical and biological science.

372 citations

Journal ArticleDOI
TL;DR: A modification of the Campbell technique for radical retropubic prostatectomy used in 75 consecutive patients undergoing surgical extirpation of the malignant gland provides for predictable and careful anatomic removal of the prostate.

372 citations

Journal ArticleDOI
TL;DR: The microarray analysis revealed clusters of genes that changed their transcription levels exclusively in the lungs of BALB/c, SCID mice, or medium over time, which suggests the similarity between mycobacterial transcriptional machinery during growth in SCID and in broth, which questions the validity of using the SCID model for assessing myCobacterial virulence.
Abstract: Infection with Mycobacterium tuberculosis causes the illness tuberculosis with an annual mortality of ≈2 million. Understanding the nature of the host-pathogen interactions at different stages of tuberculosis is central to new strategies for developing chemotherapies and vaccines. Toward this end, we adapted microarray technology to analyze the change in gene expression profiles of M. tuberculosis during infection in mice. This protocol provides the transcription profile of genes expressed during the course of early tuberculosis in immune-competent (BALB/c) and severe combined immune-deficient (SCID) hosts in comparison with growth in medium. The microarray analysis revealed clusters of genes that changed their transcription levels exclusively in the lungs of BALB/c, SCID mice, or medium over time. We identified a set of genes (n = 67) activated only in BALB/c and not in SCID mice at 21 days after infection, a key point in the progression of tuberculosis. A subset of the lung-activated genes was previously identified as induced during mycobacterial survival in a macrophage cell line. Another group of in vivo-expressed genes may also define a previously unreported genomic island. In addition, our analysis suggests the similarity between mycobacterial transcriptional machinery during growth in SCID and in broth, which questions the validity of using the SCID model for assessing mycobacterial virulence. The in vivo expression-profiling technology presented should be applicable to any microbial model of infection.

372 citations


Authors

Showing all 29120 results

NameH-indexPapersCitations
Bruce S. McEwen2151163200638
David Miller2032573204840
Jing Wang1844046202769
Paul M. Thompson1832271146736
David A. Weitz1781038114182
David R. Williams1782034138789
John A. Rogers1771341127390
George F. Koob171935112521
John D. Minna169951106363
Carlos Bustamante161770106053
Lewis L. Lanier15955486677
Joseph Wang158128298799
John E. Morley154137797021
Fabian Walter14699983016
Michael F. Holick145767107937
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202390
2022595
20213,060
20203,048
20192,779
20182,729