Institution
University of Houston
Education•Houston, Texas, United States•
About: University of Houston is a education organization based out in Houston, Texas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 23074 authors who have published 53903 publications receiving 1641968 citations.
Topics: Population, Poison control, Anxiety, Finite element method, Catalysis
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the authors compared the effects of two acute care management strategies on the frequency of jugular venous desaturation and refractory intracranial hypertension and on long-term neurologic outcome in patients with severe head injury.
Abstract: Objective:The purpose of this study was to compare the effects of two acute-care management strategies on the frequency of jugular venous desaturation and refractory intracranial hypertension and on long-term neurologic outcome in patients with severe head injury.Design:Randomized clinical trial.Set
674 citations
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TL;DR: A theoretical model is proposed and tested that considers an individual's perceptions of privacy and how it relates to his or her behavioral intention to make an online transaction and the results suggested strong support for the model.
672 citations
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TL;DR: This list is the start at developing a consensus list of techniques that can be refined as the field matures, and Futurists can use this list to broaden their repertoire of scenario techniques.
Abstract: Purpose – The paper aims to review all the techniques for developing scenarios that have appeared in the literature, along with comments on their utility, strengths and weaknesses. Design/methodology/approach – The study was carried out through an electronic search using internet search engines and online databases and indexes. Findings – The paper finds eight categories of techniques that include a total of 23 variations used to develop scenarios. There are descriptions and evaluations for each. Practical implications – Futurists can use this list to broaden their repertoire of scenario techniques. Originality/value – Scenario development is the stock-in-trade of futures studies, but no catalog of the techniques used has yet been published. This list is the start at developing a consensus list of techniques that can be refined as the field matures.
665 citations
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TL;DR: While AMPs are recognized as essential components of natural host innate immunity against microbial challenge, their usefulness as a new class of antimicrobial drugs still remains to be proven.
Abstract: Purpose: Antimicrobial peptides (AMPs) are an essential part of innate immunity that evolved in most living organisms over 2.6 billion years to combat microbial challenge. These small cationic peptides are multifunctional as effectors of innate immunity on skin and mucosal surfaces and have demonstrated direct antimicrobial activity against various bacteria, viruses, fungi, and parasites. This review summarizes their progress to date as commercial antimicrobial drugs for topical and systemic indications. Methods: Literature review. Results: Despite numerous clinical trials, no modified AMP has obtained Food & Drug Administration approval yet for any topical or systemic medical indications. Conclusions: While AMPs are recognized as essential components of natural host innate immunity against microbial challenge, their usefulness as a new class of antimicrobial drugs still remains to be proven.
665 citations
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National Center for Atmospheric Research1, Lawrence Berkeley National Laboratory2, Oak Ridge National Laboratory3, Utrecht University4, Columbia University5, Chinese Academy of Sciences6, University of Houston7, University of California, Los Angeles8, California Institute of Technology9, Institute of Arctic and Alpine Research10, Los Alamos National Laboratory11, Harvard University12, Cooperative Institute for Research in Environmental Sciences13, University of Arizona14, University of Colorado Boulder15, Purdue University16, Michigan State University17, Argonne National Laboratory18, University of Michigan19, Auburn University20, Pacific Northwest National Laboratory21, Goddard Space Flight Center22, University of California, Irvine23, Virginia Tech24, University of Sheffield25
TL;DR: The Community Land Model (CLM) is the land component of the Community Earth System Model (CESM) and is used in several global and regional modeling systems.
Abstract: The Community Land Model (CLM) is the land component of the Community Earth System Model (CESM) and is used in several global and regional modeling systems. In this paper, we introduce model developments included in CLM version 5 (CLM5), which is the default land component for CESM2. We assess an ensemble of simulations, including prescribed and prognostic vegetation state, multiple forcing data sets, and CLM4, CLM4.5, and CLM5, against a range of metrics including from the International Land Model Benchmarking (ILAMBv2) package. CLM5 includes new and updated processes and parameterizations: (1) dynamic land units, (2) updated parameterizations and structure for hydrology and snow (spatially explicit soil depth, dry surface layer, revised groundwater scheme, revised canopy interception and canopy snow processes, updated fresh snow density, simple firn model, and Model for Scale Adaptive River Transport), (3) plant hydraulics and hydraulic redistribution, (4) revised nitrogen cycling (flexible leaf stoichiometry, leaf N optimization for photosynthesis, and carbon costs for plant nitrogen uptake), (5) global crop model with six crop types and time‐evolving irrigated areas and fertilization rates, (6) updated urban building energy, (7) carbon isotopes, and (8) updated stomatal physiology. New optional features include demographically structured dynamic vegetation model (Functionally Assembled Terrestrial Ecosystem Simulator), ozone damage to plants, and fire trace gas emissions coupling to the atmosphere. Conclusive establishment of improvement or degradation of individual variables or metrics is challenged by forcing uncertainty, parametric uncertainty, and model structural complexity, but the multivariate metrics presented here suggest a general broad improvement from CLM4 to CLM5.
661 citations
Authors
Showing all 23345 results
Name | H-index | Papers | Citations |
---|---|---|---|
Matthew Meyerson | 194 | 553 | 243726 |
Gad Getz | 189 | 520 | 247560 |
Eric Boerwinkle | 183 | 1321 | 170971 |
Pulickel M. Ajayan | 176 | 1223 | 136241 |
Zhenan Bao | 169 | 865 | 106571 |
Marc Weber | 167 | 2716 | 153502 |
Steven N. Blair | 165 | 879 | 132929 |
Martin Karplus | 163 | 831 | 138492 |
Dongyuan Zhao | 160 | 872 | 106451 |
Xiang Zhang | 154 | 1733 | 117576 |
Jan-Åke Gustafsson | 147 | 1058 | 98804 |
James M. Tour | 143 | 859 | 91364 |
Guanrong Chen | 141 | 1652 | 92218 |
Naomi J. Halas | 140 | 435 | 82040 |
Antonios G. Mikos | 138 | 694 | 70204 |