Institution
University of New Mexico
Education•Albuquerque, 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.
Topics: Population, Poison control, Laser, Health care, Large Hadron Collider
Papers published on a yearly basis
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TL;DR: The current understanding of the contribution of glia to pathological pain and neuroprotection is reviewed, and how the protective, anti-inflammatory actions ofglia are being harnessed to develop new drug targets for neuropathic pain control is reviewed.
Abstract: Glia have emerged as key contributors to pathological and chronic pain mechanisms. On activation, both astrocytes and microglia respond to and release a number of signalling molecules, which have protective and/or pathological functions. Here we review the current understanding of the contribution of glia to pathological pain and neuroprotection, and how the protective, anti-inflammatory actions of glia are being harnessed to develop new drug targets for neuropathic pain control. Given the prevalence of chronic pain and the partial efficacy of current drugs, which exclusively target neuronal mechanisms, new strategies to manipulate neuron–glia interactions in pain processing hold considerable promise.
1,260 citations
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Harvard University1, University of Pennsylvania2, University of Florida3, University of Texas Health Science Center at San Antonio4, Henry Ford Health System5, University of Miami6, Scripps Health7, Saint Louis University8, University of New Mexico9, Duke University10, Johns Hopkins University11, Indiana University12
TL;DR: Treatment with a once-daily, single-tablet regimen of ledipasvir and sofosbuvir resulted in high rates of sustained virologic response among patients with HCV genotype 1 infection who had not had a sustained virologyic response to prior interferon-based treatment.
Abstract: Background Effective treatment for hepatitis C virus (HCV) genotype 1 infection in patients who have not had a sustained virologic response to prior interferon-based therapy represents an unmet medical need. Methods We conducted a phase 3, randomized, open-label study involving patients infected with HCV genotype 1 who had not had a sustained virologic response after treatment with peginterferon and ribavirin, with or without a protease inhibitor. Patients were randomly assigned to receive the NS5A inhibitor ledipasvir and the nucleotide polymerase inhibitor sofosbuvir in a once-daily, fixed-dose combination tablet for 12 weeks, ledipasvir–sofosbuvir plus ribavirin for 12 weeks, ledipasvir–sofosbuvir for 24 weeks, or ledipasvir–sofosbuvir plus ribavirin for 24 weeks. The primary end point was a sustained virologic response at 12 weeks after the end of therapy. Results Among the 440 patients who underwent randomization and were treated, 20% had cirrhosis and 79% had HCV genotype 1a infection. The rates of ...
1,258 citations
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TL;DR: In this paper, an integrated model for the hydrodynamics, biomechanics and branching geometry of plants, based on the application of a general theory of resource distribution through hierarchical branching networks, is presented.
Abstract: Vascular plants vary in size by about twelve orders of magnitude, and a single individual sequoia spans nearly this entire range as it grows from a seedling to a mature tree. Size influences nearly all of the structural, functional and ecological characteristics of organisms1,2. Here we present an integrated model for the hydrodynamics, biomechanics and branching geometry of plants, based on the application of a general theory of resource distribution through hierarchical branching networks3 to the case of vascular plants. The model successfully predicts a fractal-like architecture and many known scaling laws, both between and within individual plants, including allometric exponents which are simple multiples of 1/4. We show that conducting tubes must taper and, consequently, that the resistance and fluid flow per tube are independent of the total path length and plant size. This resolves the problem of resistance increasing with length, thereby allowing plants to evolve vertical architectures and explaining why the maximum height of trees is about 100 m. It also explains why the energy use of plants in ecosystems is size independent.
1,253 citations
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TL;DR: The results suggest that theta oscillations generated in frontal brain regions play an active role in memory maintenance.
Abstract: Recent theoretical work has suggested that brain oscillations in the theta band are involved in active maintenance and recall of working memory representations. To test this theoretical framework we recorded neuromagnetic responses from 10 subjects performing the Sternberg task. Subjects were required to retain a list of 1, 3, 5 or 7 visually presented digits during a 3-s retention period. During the retention period we observed ongoing frontal theta activity in the 7-8.5-Hz band recorded by sensors over frontal brain areas. The activity in the theta band increased parametrically with the number of items retained in working memory. A time-frequency analysis revealed that the task-dependent theta was present during the retention period and during memory scanning. Following the memory task the theta activity was reduced. These results suggest that theta oscillations generated in frontal brain regions play an active role in memory maintenance.
1,248 citations
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01 Jan 1999TL;DR: This work compares the ability of different data modeling methods to represent normal behavior accurately and to recognize intrusions and concludes that for this particular problem, weaker methods than HMMs are likely sufficient.
Abstract: Intrusion detection systems rely on a wide variety of observable data to distinguish between legitimate and illegitimate activities. We study one such observable-sequences of system calls into the kernel of an operating system. Using system-call data sets generated by several different programs, we compare the ability of different data modeling methods to represent normal behavior accurately and to recognize intrusions. We compare the following methods: simple enumeration of observed sequences; comparison of relative frequencies of different sequences; a rule induction technique; and hidden Markov models (HMMs). We discuss the factors affecting the performance of each method and conclude that for this particular problem, weaker methods than HMMs are likely sufficient.
1,245 citations
Authors
Showing all 29120 results
Name | H-index | Papers | Citations |
---|---|---|---|
Bruce S. McEwen | 215 | 1163 | 200638 |
David Miller | 203 | 2573 | 204840 |
Jing Wang | 184 | 4046 | 202769 |
Paul M. Thompson | 183 | 2271 | 146736 |
David A. Weitz | 178 | 1038 | 114182 |
David R. Williams | 178 | 2034 | 138789 |
John A. Rogers | 177 | 1341 | 127390 |
George F. Koob | 171 | 935 | 112521 |
John D. Minna | 169 | 951 | 106363 |
Carlos Bustamante | 161 | 770 | 106053 |
Lewis L. Lanier | 159 | 554 | 86677 |
Joseph Wang | 158 | 1282 | 98799 |
John E. Morley | 154 | 1377 | 97021 |
Fabian Walter | 146 | 999 | 83016 |
Michael F. Holick | 145 | 767 | 107937 |