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Institution

University of California, Santa Barbara

EducationSanta Barbara, California, United States
About: University of California, Santa Barbara is a education organization based out in Santa Barbara, California, United States. It is known for research contribution in the topics: Population & Laser. The organization has 30281 authors who have published 80852 publications receiving 4626827 citations. The organization is also known as: UC Santa Barbara & UCSB.


Papers
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Journal ArticleDOI
TL;DR: A review of the current status of selected remote sensing algorithms for estimating land surface temperature from thermal infrared (TIR) data is presented in this article, along with a survey of the algorithms employed for obtaining LST from space-based TIR measurements.

1,470 citations

Book ChapterDOI
TL;DR: The chapter discusses the relationship between learning and functional response, and indicates the importance of two features, developmental response and numerical response, of the interaction.
Abstract: Publisher Summary This chapter discusses predation and population stability. It describes some potentially stabilizing features that have been found in real systems and shows the main stabilizing features discovered in the field of studies—refuges, spatial heterogeneity—or probably can be modified to incorporate them, for example, invulnerable classes of prey. It also touches two obvious features of reality, namely time lags, which destabilize the interaction, and density dependence (for example, resource limitation) in the prey, which is stabilizing. General model (the Lotka-Voltema equations) is also discussed and a criterion for estimating its stabilizing effect is presented. The chapter discusses the relationship between learning and functional response, and indicates the importance of two features, developmental response and numerical response, of the interaction. The chapter examines other aspects, namely the consequences for stability arising from the response of the individual predator to changes in the density of its prey (or to changes in the densities of two or more prey).

1,465 citations

Journal ArticleDOI
TL;DR: A review of fracture mechanics in structural ceramics can be found in this paper, where the authors provide a perspective regarding the evolution of this field and succinct descriptions of current understanding.
Abstract: The science governing the strength and fracture of structural ceramics has developed from a mostly empirical topic in 1965 into a mature discipline that now sets the standards in the field of mechanical behavior. The intent of this review is to provide a perspective regarding this evolution, followed by succinct descriptions of current understanding. The rapid developments in the field are considered to have commenced upon the first concerted attempt to apply fracture mechanics concepts to ceramics, beginning in the middle 1960s. This allowed a distinction between the separate contributions to strength from the flaws in the material and from the microstructure, as manifest in the fracture toughness. Another contribution that accelerated the learning process was the development of indentation techniques, which allowed trends in the damage resistance of new ceramics to be assessed on a routine basis. However, the most important development, which originated at about the same time, was the discovery of toughened zirconia alloys. The ensuing research on these alloys established two vital precedents.

1,462 citations

Journal ArticleDOI
01 Oct 2008-Ecology
TL;DR: A new class of ecological connectivity models based in electrical circuit theory, which offer distinct advantages over common analytic connectivity models, including a theoretical basis in random walk theory and an ability to evaluate contributions of multiple dispersal pathways are introduced.
Abstract: Connectivity among populations and habitats is important for a wide range of ecological processes. Understanding, preserving, and restoring connectivity in complex landscapes requires connectivity models and metrics that are reliable, efficient, and process based. We introduce a new class of ecological connectivity models based in electrical circuit theory. Although they have been applied in other disciplines, circuit-theoretic connectivity models are new to ecology. They offer distinct advantages over common analytic connectivity models, including a theoretical basis in random walk theory and an ability to evaluate contributions of multiple dispersal pathways. Resistance, current, and voltage calculated across graphs or raster grids can be related to ecological processes (such as individual movement and gene flow) that occur across large population networks or landscapes. Efficient algorithms can quickly solve networks with millions of nodes, or landscapes with millions of raster cells. Here we review basic circuit theory, discuss relationships between circuit and random walk theories, and describe applications in ecology, evolution, and conservation. We provide examples of how circuit models can be used to predict movement patterns and fates of random walkers in complex landscapes and to identify important habitat patches and movement corridors for conservation planning.

1,451 citations

Journal ArticleDOI
TL;DR: The screening of a range of botanical species and marine organisms has yielded promising new antitubulin agents with novel properties, and the three main objectives are enhanced tumour specificity, reduced neurotoxicity and insensitivity to chemoresistance mechanisms.
Abstract: Microtubules are dynamic filamentous cytoskeletal proteins composed of tubulin and are an important therapeutic target in tumour cells. Agents that bind to microtubules have been part of the pharmacopoeia of anticancer therapy for decades and until the advent of targeted therapy, microtubules were the only alternative to DNA as a therapeutic target in cancer. The screening of a range of botanical species and marine organisms has yielded promising new antitubulin agents with novel properties. In the current search for novel microtubule-binding agents, enhanced tumour specificity, reduced neurotoxicity and insensitivity to chemoresistance mechanisms are the three main objectives.

1,450 citations


Authors

Showing all 30652 results

NameH-indexPapersCitations
George M. Whitesides2401739269833
Yi Chen2174342293080
Simon D. M. White189795231645
George Efstathiou187637156228
Peidong Yang183562144351
David R. Williams1782034138789
Alan J. Heeger171913147492
Richard H. Friend1691182140032
Jiawei Han1681233143427
Gang Chen1673372149819
Alexander S. Szalay166936145745
Omar M. Yaghi165459163918
Carlos S. Frenk165799140345
Yang Yang1642704144071
Carlos Bustamante161770106053
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023150
2022528
20213,352
20203,653
20193,516