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Institution

University of California

EducationOakland, 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.


Papers
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Patent
08 Dec 1995
TL;DR: In this article, the authors presented methods of determining relative copy number of target nucleic acids and precise mapping of chromosomal abnormalities associated with disease. The methods of the invention use target nuclei acids immobilized on a solid surface, to which a sample comprising two sets of differentially labeled nucleic acid are hybridized.
Abstract: The present invention provides methods of determining relative copy number of target nucleic acids and precise mapping of chromosomal abnormalities associated with disease. The methods of the invention use target nucleic acids immobilized on a solid surface, to which a sample comprising two sets of differentially labeled nucleic acids are hybridized. The hybridization of the labeled nucleic acids to the solid surface is then detected using standard techniques.

346 citations

Journal ArticleDOI
TL;DR: Overall, the vast majority of studies found some positive associations between women's empowerment and lower fertility, longer birth intervals, and lower rates of unintended pregnancy, but there was some variation in results.

346 citations

Book ChapterDOI
15 Sep 2014
TL;DR: This work analyzes the linear algebraic properties of CNNs and proposes an algorithmic modification to reduce their computational workload, achieving up to a 47% reduction.
Abstract: Convolutional Neural Networks (CNNs) have been successfully used for many computer vision applications. It would be beneficial to these applications if the computational workload of CNNs could be reduced. In this work we analyze the linear algebraic properties of CNNs and propose an algorithmic modification to reduce their computational workload. An up to a 47% reduction can be achieved without any change in the image recognition results or the addition of any hardware accelerators.

345 citations

Journal ArticleDOI
TL;DR: The authors reviewed how US deportations ballooned between 1997 and 2012, and highlighted how these deportations disproportionately targeted Latino working class men, and described this recent mass deportation as a gendered racial removal program.
Abstract: This article reviews how US deportations ballooned between 1997 and 2012, and underscores how these deportations disproportionately targeted Latino working class men. Building on Mae Ngai's (2004) concept of racial removal, we describe this recent mass deportation as a gendered racial removal program. Drawing from secondary sources, surveys conducted in Mexico, the U.S. Department of Home- land Security published statistics, and interviews with deportees conducted by the first author in Guatemala, the Dominican Republic, Brazil and Jamaica, we argue that: (1) deportations have taken on a new course in the aftermath of 9/11 and in the wake of the global economic crisis - involving a shift towards interior enforcement; (2) deportation has become a gendered and racial removal project of the state; and (3) deportations will have lasting consequences with gendered and raced effects here in the United States. We begin by examining the mechanisms of the new deportation regime, showing how it functions, and then examine the legislation and administrative decisions that make it possible. Next, we show the concentration of deportations by nation and gender. Finally, we discuss the causes of this gendered racial removal program, which include the male joblessness crisis since the Great Recession, the War on Terror, and the con- tinued criminalization of Black and Latino men by police authorities. Latino Studies (2013) 11, 271-292. doi:10.1057/lst.2013.14

344 citations

Journal ArticleDOI
TL;DR: The social development of the immature primate involves the integration of these themes in two distinct but overlapping phases, characterized by attraction to novelty, exploration, social interaction and acquisition of knowledge and skills in the contexts of foods, predators and other members of the species.
Abstract: Social development from a psychobiological perspective is part of evolutionary biology. From a functional standpoint two major interrelated themes can be discerned in the evolution of behavior: Wanting (referring collectively to the vital needs of an organism) and Knowing (referring collectively to the organism’s knowledge or skill for meeting its vital needs). The social development of the immature primate involves the integration of these themes in two distinct but overlapping phases. In the initially most salient phase, the manifestations of wanting and knowing are focused on constructing an effective relationship with the mother (mother-directed). One of the most important achievements during this phase is the formation of an emotional attachment (probably based on a psychoneuroendocrine core) to a specific object in which elements of both wanting and knowing are intimately involved. The second phase becomes increasingly prominent as development proceeds. The salient manifestations of this phase are focused on relations with the world beyond the mother (other-directed), and involve a new integration of the motivational and emotional components of wanting and knowing, characterized by attraction to novelty, exploration, social interaction and acquisition of knowledge and skills in the contexts of foods, predators and other members of the species.

344 citations


Authors

Showing all 55232 results

NameH-indexPapersCitations
Meir J. Stampfer2771414283776
George M. Whitesides2401739269833
Michael Karin236704226485
Fred H. Gage216967185732
Rob Knight2011061253207
Martin White1962038232387
Simon D. M. White189795231645
Scott M. Grundy187841231821
Peidong Yang183562144351
Patrick O. Brown183755200985
Michael G. Rosenfeld178504107707
George M. Church172900120514
David Haussler172488224960
Yang Yang1712644153049
Alan J. Heeger171913147492
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202322
2022105
2021775
20201,069
20191,225
20181,684