Institution
University of Arizona
Education•Tucson, Arizona, United States•
About: University of Arizona is a education organization based out in Tucson, Arizona, United States. It is known for research contribution in the topics: Population & Galaxy. The organization has 63805 authors who have published 155998 publications receiving 6854915 citations. The organization is also known as: UA & U of A.
Topics: Population, Galaxy, Stars, Redshift, Star formation
Papers published on a yearly basis
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959 citations
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TL;DR: Water deficit is the commonest environmental stress factor limiting plant productivity, and the ability of plants to detoxify radicals under conditions of water deficit is probably the most critical requirement.
958 citations
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TL;DR: The Sexual Experiences Survey (SES) as mentioned in this paper assesses victimization and perpetration of unwanted sexual experiences (e.g., Koss, Gidycz, & Wisniewski, 1987).
Abstract: The Sexual Experiences Survey (SES) assesses victimization and perpetration of unwanted sexual experiences (e.g., Koss, Gidycz, & Wisniewski, 1987). Revised versions of the SES that resulted from the work of the SES Collaboration are now available. This article reviews weaknesses of the SES that were identified, strengths that were preserved, and methodological considerations in the measurement of unwanted sexual experiences that informed the revisions. The primary changes include: more behavioral specificity; conversion to gender neutrality; full crossing of unwanted acts and coercive tactics; and revised and updated wording for assessing consent, alcohol-related incidents, unwanted acts, and coercive tactics. For illustration, the full text of the revised victimization version and its scoring rules are provided. The article concludes with suggestions for future research. These suggestions aim to involve researchers in a coordinated agenda to develop data that clarify methodological questions and contribute to continued improvement in assessing sexual victimization and perpetration.
958 citations
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Yale University1, Goddard Space Flight Center2, Space Telescope Science Institute3, Leiden University4, Max Planck Society5, University of Arizona6, University of California, Berkeley7, University of Wisconsin-Madison8, University of California, Santa Cruz9, Tufts University10, Yonsei University11, Carnegie Institution for Science12, Open University13
TL;DR: In this paper, a photometric analysis of the CANDELS and 3D-HST HST imaging and the ancillary imaging data at wavelengths 0.3-8 μm is presented, where objects were selected in the WFC3 near-IR bands and their spectral energy distributions were determined by carefully taking the effects of the point-spread function in each observation into account.
Abstract: The 3D-HST and CANDELS programs have provided WFC3 and ACS spectroscopy and photometry over ≈900 arcmin2 in five fields: AEGIS, COSMOS, GOODS-North, GOODS-South, and the UKIDSS UDS field. All these fields have a wealth of publicly available imaging data sets in addition to the Hubble Space Telescope (HST) data, which makes it possible to construct the spectral energy distributions (SEDs) of objects over a wide wavelength range. In this paper we describe a photometric analysis of the CANDELS and 3D-HST HST imaging and the ancillary imaging data at wavelengths 0.3-8 μm. Objects were selected in the WFC3 near-IR bands, and their SEDs were determined by carefully taking the effects of the point-spread function in each observation into account. A total of 147 distinct imaging data sets were used in the analysis. The photometry is made available in the form of six catalogs: one for each field, as well as a master catalog containing all objects in the entire survey. We also provide derived data products: photometric redshifts, determined with the EAZY code, and stellar population parameters determined with the FAST code. We make all the imaging data that were used in the analysis available, including our reductions of the WFC3 imaging in all five fields. 3D-HST is a spectroscopic survey with the WFC3 and ACS grisms, and the photometric catalogs presented here constitute a necessary first step in the analysis of these grism data. All the data presented in this paper are available through the 3D-HST Web site (http://3dhst.research.yale.edu).
957 citations
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TL;DR: In this paper, surface-induced dissociation, along with gas-phase collision-induced disociation performed under a variety of conditions, has been used to refine the general'mobile proton' model and to determine how and why enhanced cleavages occur at aspartic acid residues and protonated histidine residues.
Abstract: Protein identification and peptide sequencing by tandem mass spectrometry requires knowledge of how peptides fragment in the gas phase, specifically which bonds are broken and where the charge(s) resides in the products. For many peptides, cleavage at the amide bonds dominate, producing a series of ions that are designated b and y. For other peptides, enhanced cleavage occurs at just one or two amino acid residues. Surface-induced dissociation, along with gas-phase collision-induced dissociation performed under a variety of conditions, has been used to refine the general 'mobile proton' model and to determine how and why enhanced cleavages occur at aspartic acid residues and protonated histidine residues. Enhanced cleavage at acidic residues occurs when the charge is unavailable to the peptide backbone or the acidic side-chain. The acidic H of the side-chain then serves to initiate cleavage at the amide bond immediately C-terminal to Asp (or Glu), producing an anhydride. In contrast, enhanced cleavage occurs at His when the His side-chain is protonated, turning His into a weak acid that can initiate backbone cleavage by transferring a proton to the backbone. This allows the nucleophilic nitrogen of the His side-chain to attack and form a cyclic structure that is different from the 'typical' backbone cleavage structures.
956 citations
Authors
Showing all 64388 results
Name | H-index | Papers | Citations |
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Simon D. M. White | 189 | 795 | 231645 |
Julie E. Buring | 186 | 950 | 132967 |
David H. Weinberg | 183 | 700 | 171424 |
Richard Peto | 183 | 683 | 231434 |
Xiaohui Fan | 183 | 878 | 168522 |
Dennis S. Charney | 179 | 802 | 122408 |
Daniel J. Eisenstein | 179 | 672 | 151720 |
David Haussler | 172 | 488 | 224960 |
Carlos S. Frenk | 165 | 799 | 140345 |
Jian-Kang Zhu | 161 | 550 | 105551 |
Tobin J. Marks | 159 | 1621 | 111604 |
Todd Adams | 154 | 1866 | 143110 |
Jane A. Cauley | 151 | 914 | 99933 |
Wei Zheng | 151 | 1929 | 120209 |
Daniel L. Schacter | 149 | 592 | 90148 |