Institution
Drexel University
Education•Philadelphia, Pennsylvania, United States•
About: Drexel University is a education organization based out in Philadelphia, Pennsylvania, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 26770 authors who have published 51438 publications receiving 1949443 citations. The organization is also known as: Drexel & Drexel Institute.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the authors study the growth rate of stars via stellar collisions in dense star clusters, calibrating their analytic calculations with direct N-body simulations of up to 65,536 stars, performed on the GRAPE family of specialpurpose computers.
Abstract: We study the growth rate of stars via stellar collisions in dense star clusters, calibrating our analytic calculations with direct N-body simulations of up to 65,536 stars, performed on the GRAPE family of special-purpose computers. We find that star clusters with initial half-mass relaxation times 25 Myr are dominated by stellar collisions, the first collisions occurring at or near the point of core collapse, which is driven by the segregation of the most massive stars to the cluster center, where they end up in hard binaries. The majority of collisions occur with the same star, resulting in the runaway growth of a supermassive object. This object can grow up to ~0.1% of the mass of the entire star cluster and could manifest itself as an intermediate-mass black hole (IMBH). The phase of runaway growth lasts until mass loss by stellar evolution arrests core collapse. Star clusters older than about 5 Myr and with present-day half-mass relaxation times 100 Myr are expected to contain an IMBH.
610 citations
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TL;DR: The current document is an update of an earlier version of single photon emission tomography guidelines that was developed by the American Society of Nuclear Cardiology, and should not be used in clinical studies until they have been reviewed and approved by qualified physicians and technologists from their own particular institutions.
610 citations
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University of Washington1, University of Southern California2, University of Michigan3, Harvard University4, Max Planck Society5, University of Groningen6, University of Maryland, Baltimore7, Icahn School of Medicine at Mount Sinai8, Xi'an Jiaotong University9, University of Texas MD Anderson Cancer Center10, University of North Carolina at Charlotte11, Broad Institute12, European Bioinformatics Institute13, Yale University14, University of California, Davis15, University of Utah16, Pacific Biosciences17, University of California, San Diego18, Illumina19, Ludwig Institute for Cancer Research20, Ewha Womans University21, Drexel University22, University of Texas Health Science Center at Houston23, Washington University in St. Louis24, University of Malaya25, University of California, San Francisco26, University of British Columbia27, BC Cancer Agency28
TL;DR: A suite of long-read, short- read, strand-specific sequencing technologies, optical mapping, and variant discovery algorithms are applied to comprehensively analyze three trios to define the full spectrum of human genetic variation in a haplotype-resolved manner.
Abstract: The incomplete identification of structural variants (SVs) from whole-genome sequencing data limits studies of human genetic diversity and disease association. Here, we apply a suite of long-read, short-read, strand-specific sequencing technologies, optical mapping, and variant discovery algorithms to comprehensively analyze three trios to define the full spectrum of human genetic variation in a haplotype-resolved manner. We identify 818,054 indel variants (<50 bp) and 27,622 SVs (≥50 bp) per genome. We also discover 156 inversions per genome and 58 of the inversions intersect with the critical regions of recurrent microdeletion and microduplication syndromes. Taken together, our SV callsets represent a three to sevenfold increase in SV detection compared to most standard high-throughput sequencing studies, including those from the 1000 Genomes Project. The methods and the dataset presented serve as a gold standard for the scientific community allowing us to make recommendations for maximizing structural variation sensitivity for future genome sequencing studies.
606 citations
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TL;DR: Two-dimensional transition metal carbides and nitrides (MXenes) have emerged as highly conductive and stable materials, of promise for electronic applications, and in situ electric biasing and transmission electron microscopy are used to investigate the effect of surface termination and intercalation on electronic properties.
Abstract: MXenes are an emerging family of highly-conductive 2D materials which have demonstrated state-of-the-art performance in electromagnetic interference shielding, chemical sensing, and energy storage. To further improve performance, there is a need to increase MXenes' electronic conductivity. Tailoring the MXene surface chemistry could achieve this goal, as density functional theory predicts that surface terminations strongly influence MXenes' Fermi level density of states and thereby MXenes' electronic conductivity. Here, we directly correlate MXene surface de-functionalization with increased electronic conductivity through in situ vacuum annealing, electrical biasing, and spectroscopic analysis within the transmission electron microscope. Furthermore, we show that intercalation can induce transitions between metallic and semiconductor-like transport (transitions from a positive to negative temperature-dependence of resistance) through inter-flake effects. These findings lay the groundwork for intercalation- and termination-engineered MXenes, which promise improved electronic conductivity and could lead to the realization of semiconducting, magnetic, and topologically insulating MXenes.
605 citations
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01 Sep 2006TL;DR: This paper presents ontology mapping categories, describes the characteristics of each category, compares these characteristics, and surveys tools, systems, and related work based on each category ofOntology mapping.
Abstract: Ontology is increasingly seen as a key factor for enabling interoperability across heterogeneous systems and semantic web applications. Ontology mapping is required for combining distributed and heterogeneous ontologies. Developing such ontology mapping has been a core issue of recent ontology research. This paper presents ontology mapping categories, describes the characteristics of each category, compares these characteristics, and surveys tools, systems, and related work based on each category of ontology mapping. We believe this paper provides readers with a comprehensive understanding of ontology mapping and points to various research topics about the specific roles of ontology mapping.
605 citations
Authors
Showing all 26976 results
Name | H-index | Papers | Citations |
---|---|---|---|
John Q. Trojanowski | 226 | 1467 | 213948 |
Peter Libby | 211 | 932 | 182724 |
Virginia M.-Y. Lee | 194 | 993 | 148820 |
Yury Gogotsi | 171 | 956 | 144520 |
Dennis R. Burton | 164 | 683 | 90959 |
M.-Marsel Mesulam | 150 | 558 | 90772 |
Edward G. Lakatta | 146 | 858 | 88637 |
Gordon T. Richards | 144 | 613 | 110666 |
David Price | 138 | 1687 | 93535 |
Joseph Sodroski | 138 | 542 | 77070 |
Hannu Kurki-Suonio | 138 | 433 | 99607 |
Jun Lu | 135 | 1526 | 99767 |
Stephen F. Badylak | 133 | 530 | 57083 |
Michael E. Thase | 131 | 923 | 75995 |
Edna B. Foa | 129 | 588 | 73034 |