Institution
University of California
Education•Oakland, California, United States•
About: University of California is a education organization based out in Oakland, California, United States. It is known for research contribution in the topics: Population & Layer (electronics). The organization has 55175 authors who have published 52933 publications receiving 1491169 citations. The organization is also known as: UC & University of California System.
Topics: Population, Layer (electronics), Cancer, Context (language use), Gene
Papers published on a yearly basis
Papers
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17 Jan 2002TL;DR: In this article, the authors used either cauterization, a laser to ablate, sonic or ultrasonic energy to emulsify, or mechanical cutting of a portion of the trabecular meshwork.
Abstract: Apparatuses and methods for the treatment of glaucoma are provided. The instrument uses either cauterization, a laser to ablate, sonic or ultrasonic energy to emulsify, or mechanical cutting of a portion of the trabecular meshwork. The instrument may also be provided with irrigation, aspiration, and a footplate. The footplate is used to enter Schlemm's canal, serves as a guide, and also protects Schlemm's canal.
289 citations
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TL;DR: In this article, the authors review the emerging field of high energy atmospheric physics, including the production of runaway electrons, the production and propagation of energetic radiation, and the effects of both on atmospheric electrodynamics.
Abstract: It is now well established that both thunderclouds and lightning routinely emit x-rays and gamma-rays. These emissions appear over wide timescales, ranging from sub-microsecond bursts of x-rays associated with lightning leaders, to sub-millisecond bursts of gamma-rays seen in space called terrestrial gamma-ray flashes, to minute long glows from thunderclouds seen on the ground and in or near the cloud by aircraft and balloons. In particular, terrestrial gamma-ray flashes (TGFs), which are thought to be emitted by thunderclouds, are so bright that they sometimes saturate detectors on spacecraft hundreds of kilometers away. These TGFs also generate energetic secondary electrons and positrons that are detected by spacecraft in the inner magnetosphere. It is generally believed that these x-ray and gamma-ray emissions are generated, via bremsstrahlung, by energetic runaway electrons that are accelerated by electric fields in the atmosphere. In this paper, we review this newly emerging field of High-Energy Atmospheric Physics, including the production of runaway electrons, the production and propagation of energetic radiation, and the effects of both on atmospheric electrodynamics.
289 citations
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TL;DR: Evidence is provided of NONMEM's validity and usefulness by comparing both approaches on simulated routine-type pharmacokinetic data arising from a monoexponential model by comparing the estimates of population parameters provided by the STS method.
Abstract: Individual pharmacokinetic parameters quantify the pharmacokinetics of an individual, while population pharmacokinetic parameters quantify population mean kinetics, interindividual kinetic variability, and residual variability, including intraindividual variability and measurement error. Individual pharmacokinetics are estimated by fitting a pharmacokinetic model to individual data. Population pharmacokinetic parameters have traditionally been estimated by doing this separately for each individual, and then combining the individual parameter estimates, the Standard Two Stage (STS) approach. Another approach, NONMEM, appropriately pools data across individuals and is therefore less dependent on individual parameter estimates. This study provides further evidence of NONMEM's validity and usefulness by comparing both approaches on simulated routine-type pharmacokinetic data arising from a monoexponential model. The estimates of population parameters (notably those describing interindividual variability) provided by the STS method are poorer than those provided by NONMEM, especially when there is considerable residual error. Further, NONMEM's estimates of population parameters do not require that the data be restricted to special types of routine data such as those obtained only at steady state, or only at peak or trough, nor do the estimates improve with such data. NONMEM's estimates do improve, however, when a data set is enhanced by the addition of single-observation-per-individual type data. Thus, population parameters can be estimated efficiently from data that simulate real clinical pharmacokinetic conditions.
288 citations
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01 Jan 1985TL;DR: In this paper, the authors discuss how to assess the quality of animal life in scientific research, teaching, product safety testing, and as a source of food, and how to measure animal wellbeing.
Abstract: Society is currently involved in a serious debate about the use of animals in scientific research, teaching, product-safety testing, recreation, and as a source of food. Although the views and philosophies that have been expressed in this debate are diverse, one central mutually acceptable theme has developed: a concern that everything possible be done to ensure the wellbeing of animals under the charge of researchers and that these animals do not suffer unduly. The problem with responding to this concern is how to assess the wellbeing of animals. How should the quality of animal life be measured?
288 citations
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TL;DR: In this article, GPI-hemojuvelin positively regulated hepcidin mRNA expression, independently of the IL-6 pathway, whereas soluble hemojuvelin (s-hemovelin) suppressed the expression in primary human hepatocytes in a log-linear dosedependent manner.
288 citations
Authors
Showing all 55232 results
Name | H-index | Papers | Citations |
---|---|---|---|
Meir J. Stampfer | 277 | 1414 | 283776 |
George M. Whitesides | 240 | 1739 | 269833 |
Michael Karin | 236 | 704 | 226485 |
Fred H. Gage | 216 | 967 | 185732 |
Rob Knight | 201 | 1061 | 253207 |
Martin White | 196 | 2038 | 232387 |
Simon D. M. White | 189 | 795 | 231645 |
Scott M. Grundy | 187 | 841 | 231821 |
Peidong Yang | 183 | 562 | 144351 |
Patrick O. Brown | 183 | 755 | 200985 |
Michael G. Rosenfeld | 178 | 504 | 107707 |
George M. Church | 172 | 900 | 120514 |
David Haussler | 172 | 488 | 224960 |
Yang Yang | 171 | 2644 | 153049 |
Alan J. Heeger | 171 | 913 | 147492 |