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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: In this paper, the authors derived the mass distributions of stellar compact remnants and provided analytic prescriptions for both single-star models (as a function of initial star mass) and binary-star model-prescriptions for compact object masses for major population synthesis codes.
Abstract: The mass distribution of neutron stars and stellar-mass black holes provides vital clues into the nature of stellar core collapse and the physical engine responsible for supernova explosions. A number of supernova engines have been proposed: neutrino- or oscillation-driven explosions enhanced by early (developing in 10-50 ms) and late-time (developing in 200 ms) convection as well as magnetic field engines (in black hole accretion disks or neutron stars). Using our current understanding of supernova engines, we derive mass distributions of stellar compact remnants. We provide analytic prescriptions for both single-star models (as a function of initial star mass) and for binary-star models-prescriptions for compact object masses for major population synthesis codes. These prescriptions have implications for a range of observations: X-ray binary populations, supernova explosion energies, and gravitational wave sources. We show that advanced gravitational radiation detectors (like LIGO/VIRGO or the Einstein Telescope) will be able to further test the supernova explosion engine models once double black hole inspirals are detected.

646 citations

Journal ArticleDOI
TL;DR: In this article, the authors present an overview of topics related to one of the fundamental parameters for semiconductor lasers-the linewidth broadening factor α that describes the coupling between carrier-concentration-induced variations of real and imaginary parts of susceptibility.
Abstract: The objective of this paper is to present an overview of topics related to one of the fundamental parameters for semiconductor lasers-the linewidth broadening factor α that describes the coupling between carrier-concentration-induced variations of real and imaginary parts of susceptibility. After introducing the definition of α and discussing its dependence on carrier concentration, photon energy, and temperature, we give a short historical summary on how the concept of α evolved over the past two decades. This is followed by a discussion of α dependence on device structure in gain-guided and subdimensional lasers (quantum wells and quantum wires). The bulk of the paper is devoted to a detailed review of laser properties influenced by α and of associated methods of estimating the value of α. Results of measurements reported to date are collected and the most reliable methods are indicated.

646 citations

Journal ArticleDOI
TL;DR: It is shown that interspecific variation in BMR, as well as field metabolic rates of mammals, and basal or standard metabolic rates for many other organisms, including vertebrates, invertebrates, protists and plants, all scale with exponents whose confidence intervals include 3 / 4 and exclude 2 / 3.
Abstract: Summary 1. Recent studies have resurrected the debate over the value for the allometric scaling exponent that relates whole-organism metabolic rate to body size. Is it 3 / 4 or 2 / 3 ? This question has been raised before and resolved in favour of 3 / 4 . Like previous ones, recent claims for a value of 2 / 3 are based almost entirely on basal metabolic rate (BMR) in mammals. 2. Here we compile and analyse a new, larger data set for mammalian BMR. We show that interspecific variation in BMR, as well as field metabolic rates of mammals, and basal or standard metabolic rates for many other organisms, including vertebrates, invertebrates, protists and plants, all scale with exponents whose confidence intervals include 3 / 4 and exclude 2 / 3 . Our analysis of maximal metabolic rate gives a slope that is greater than and confidence intervals that exclude both 3 / 4 and 2 / 3 . 3. Additionally, numerous other physiological rates that are closely tied to metabolism in a wide variety of organisms, including heart and respiratory rates in mammals, scale as M − 1/4 . 4. The fact that quarter-power allometric scaling is so pervasive in biology suggests that different allometric relations have a common, mechanistic origin and provides an empirical basis for theoretical models that derive these scaling exponents.

646 citations

Journal ArticleDOI
07 Aug 2002-JAMA
TL;DR: The majority of articles about refugee trauma or health are either descriptive or include quantitative data from instruments that have limited or untested validity and reliability in refugees, highlighting primary limitations to accurate measurement in refugee research.
Abstract: ContextRefugees experience multiple traumatic events and have significant associated health problems, but data about refugee trauma and health status are often conflicting and difficult to interpret.ObjectivesTo assess the characteristics of the literature on refugee trauma and health, to identify and evaluate instruments used to measure refugee trauma and health status, and to recommend improvements.Data SourcesMEDLINE, PsychInfo, Health and PsychoSocial Instruments, CINAHL, and Cochrane Systematic Reviews (searched through OVID from the inception of each database to October 2001), and the New Mexico Refugee Project database.Study SelectionKey terms and combination operators were applied to identify English-language publications evaluating measurement of refugee trauma and/or health status.Data ExtractionInformation extracted for each article included author; year of publication; primary focus; type (empirical, review, or descriptive); and type/name and properties of instrument(s) included. Articles were excluded from further analyses if they were review or descriptive, were not primarily about refugee health status or trauma, or were only about infectious diseases. Instruments were then evaluated according to 5 criteria (purpose, construct definition, design, developmental process, reliability and validity) as described in the published literature.Data SynthesisOf 394 publications identified, 183 were included for further analyses of their characteristics; 91 (49.7%) included quantitative data but did not evaluate measurement properties of instruments used in refugee research, 78 (42.6%) reported on statistical relationships between measures (presuming validity), and 14 (7.7%) were only about statistical properties of instruments. In these 183 publications, 125 different instruments were used; of these, 12 were developed in refugee research. None of these instruments fully met all 5 evaluation criteria, 3 met 4 criteria, and 5 met only 1 of the criteria. Another 8 standard instruments were designed and developed in nonrefugee populations but adapted for use in refugee research; of these, 2 met all 5 criteria and 6 met 4 criteria.ConclusionsThe majority of articles about refugee trauma or health are either descriptive or include quantitative data from instruments that have limited or untested validity and reliability in refugees. Primary limitations to accurate measurement in refugee research are the lack of theoretical bases to instruments and inattention to using and reporting sound measurement principles.

646 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