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Institution

Stony Brook University

EducationStony Brook, New York, United States
About: Stony Brook University is a education organization based out in Stony Brook, New York, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 32534 authors who have published 68218 publications receiving 3035131 citations. The organization is also known as: State University of New York at Stony Brook & SUNY Stony Brook.


Papers
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Journal ArticleDOI
TL;DR: The use of in situ NMR spectroscopy is reported to provide time-resolved, quantitative information about the nature of the metallic lithium deposited on lithium-metal electrodes.
Abstract: Lithium metal has the highest volumetric and gravimetric energy density of all negative-electrode materials when used as an electrode material in a lithium rechargeable battery. However, the formation of lithium dendrites and/or ‘moss’ on the metal electrode surface can lead to short circuits following several electrochemical charge–discharge cycles, particularly at high rates, rendering this class of batteries potentially unsafe and unusable owing to the risk of fire and explosion. Many recent investigations have focused on the development of methods to prevent moss/dendrite formation. In parallel, it is important to quantify Li-moss formation, to identify the conditions under which it forms. Although optical and electron microscopy can visually monitor the morphology of the lithium-electrode surface and hence the moss formation, such methods are not well suited for quantitative studies. Here we report the use of in situ NMR spectroscopy, to provide time-resolved, quantitative information about the nature of the metallic lithium deposited on lithium-metal electrodes. The formation of lithium dendrites on the metal electrode surface of lithium batteries can lead to short circuits, making them potentially unsafe and unusable. The use of in situ NMR spectroscopy provides time-resolved and quantitative information about the nature of metallic lithium deposited on lithium-metal electrodes.

646 citations

Journal ArticleDOI
TL;DR: The authors found strong support for the expressive model: a multi-item partisan identity scale better accounts for campaign activity than a strong stance on subjectively important policy issues, the strength of ideological self-placement, or a measure of ideological identity.
Abstract: Party identification is central to the study of American political behavior, yet there remains disagreement over whether it is largely instrumental or expressive in nature. We draw on social identity theory to develop the expressive model and conduct four studies to compare it to an instrumental explanation of campaign involvement. We find strong support for the expressive model: a multi-item partisan identity scale better accounts for campaign activity than a strong stance on subjectively important policy issues, the strength of ideological self-placement, or a measure of ideological identity. A series of experiments underscore the power of partisan identity to generate action-oriented emotions that drive campaign activity. Strongly identified partisans feel angrier than weaker partisans when threatened with electoral loss and more positive when reassured of victory. In contrast, those who hold a strong and ideologically consistent position on issues are no more aroused emotionally than others by party threats or reassurances. In addition, threat and reassurance to the party's status arouse greater anger and enthusiasm among partisans than does a threatened loss or victory on central policy issues. Our findings underscore the power of an expressive partisan identity to drive campaign involvement and generate strong emotional reactions to ongoing campaign events.

646 citations

Journal ArticleDOI
TL;DR: Understanding how the adult articular chondrocyte functions within its unique environment will aid in the development of rational strategies to protect cartilage from damage resulting from joint disease.
Abstract: As the cellular component of articular cartilage, chondrocytes are responsible for maintaining in a low-turnover state the unique composition and organization of the matrix that was determined during embryonic and postnatal development. In joint diseases, cartilage homeostasis is disrupted by mechanisms that are driven by combinations of biological mediators that vary according to the disease process, including contributions from other joint tissues. In osteoarthritis (OA), biomechanical stimuli predominate with up-regulation of both catabolic and anabolic cytokines and recapitulation of developmental phenotypes, whereas in rheumatoid arthritis (RA), inflammation and catabolism drive cartilage loss. In vitro studies in chondrocytes have elucidated signaling pathways and transcription factors that orchestrate specific functions that promote cartilage damage in both OA and RA. Thus, understanding how the adult articular chondrocyte functions within its unique environment will aid in the development of rational strategies to protect cartilage from damage resulting from joint disease. This review will cover current knowledge about the specific cellular and biochemical mechanisms that regulate cartilage homeostasis and pathology.

646 citations

Journal ArticleDOI
26 Dec 1997-Cell
TL;DR: It is shown that disruption of neuron-ECM interaction via tPA/plasmin catalyzed degradation of laminin sensitizes hippocampal neurons to cell death, and preventing neuron-laminin interaction by infusion of anti-lamINin antibodies into tPA-deficient mice restores excitotoxic sensitivity to their hippocampal mice.

645 citations

Journal ArticleDOI
TL;DR: It is shown that at least half of the proteins in Madin-Darby canine kidney cell DRMs (other than cytoskeletal contaminants) could be labeled with [3H]palmitate, and partitioning of covalently linked saturated acyl chains into liquid-ordered phase domains is likely to be an important mechanism for targeting proteins to DRMs.

645 citations


Authors

Showing all 32829 results

NameH-indexPapersCitations
Zhong Lin Wang2452529259003
Dennis W. Dickson1911243148488
Hyun-Chul Kim1764076183227
David Baker1731226109377
J. N. Butler1722525175561
Roderick T. Bronson169679107702
Nora D. Volkow165958107463
Jovan Milosevic1521433106802
Thomas E. Starzl150162591704
Paolo Boffetta148145593876
Jacques Banchereau14363499261
Larry R. Squire14347285306
John D. E. Gabrieli14248068254
Alexander Milov142114393374
Meenakshi Narain1421805147741
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023124
2022453
20213,609
20203,747
20193,426
20183,127