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Institution

Temple University

EducationPhiladelphia, Pennsylvania, United States
About: Temple 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 32154 authors who have published 64375 publications receiving 2219828 citations.


Papers
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Journal ArticleDOI
University of Pittsburgh1, University of Edinburgh2, University of Birmingham3, Baylor University Medical Center4, University of California, San Francisco5, Queen Elizabeth Hospital Birmingham6, Harvard University7, Royal Prince Alfred Hospital8, Cleveland Clinic9, Oslo University Hospital10, Kyoto University11, University Health Network12, Mayo Clinic13, Mount Sinai Hospital14, Icahn School of Medicine at Mount Sinai15, University of São Paulo16, University of Cambridge17, Columbia University18, Cincinnati Children's Hospital Medical Center19, Universidade Federal do Rio Grande do Sul20, Loma Linda University21, Ain Shams University22, Hospital of the University of Pennsylvania23, University Medical Center Groningen24, Toronto General Hospital25, University of Chicago26, Beni-Suef University27, Kobe University28, Temple University29, Lahey Hospital & Medical Center30, Duke University31, University of North Carolina at Chapel Hill32, University of California, Los Angeles33, Cliniques Universitaires Saint-Luc34, Northwestern University35, St. Joseph's Hospital and Medical Center36, Sahlgrenska University Hospital37, Beth Israel Deaconess Medical Center38, University of Kansas39, Hadassah Medical Center40, University of Southern California41, University of Miami42, Dokuz Eylül University43, University of Pennsylvania44, University of Alberta Hospital45, University of Texas Medical Branch46, University of Rome Tor Vergata47, University of Patras48, Karolinska University Hospital49, Tulane University50
TL;DR: New recommendations for complement component 4d tissue staining and interpretation, staging liver allograft fibrosis, and findings related to immunosuppression minimization are included.

397 citations

Proceedings ArticleDOI
04 Jun 2007
TL;DR: The paper provides theoretical evidence that insertion of a new data point as well as deletion of an old data point influence only limited number of their closest neighbors and thus the number of updates per such insertion/deletion does not depend on the total number of points in the data set.
Abstract: Outlier detection has recently become an important problem in many industrial and financial applications. This problem is further complicated by the fact that in many cases, outliers have to be detected from data streams that arrive at an enormous pace. In this paper, an incremental LOF (local outlier factor) algorithm, appropriate for detecting outliers in data streams, is proposed. The proposed incremental LOF algorithm provides equivalent detection performance as the iterated static LOF algorithm (applied after insertion of each data record), while requiring significantly less computational time. In addition, the incremental LOF algorithm also dynamically updates the profiles of data points. This is a very important property, since data profiles may change over time. The paper provides theoretical evidence that insertion of a new data point as well as deletion of an old data point influence only limited number of their closest neighbors and thus the number of updates per such insertion/deletion does not depend on the total number of points TV in the data set. Our experiments performed on several simulated and real life data sets have demonstrated that the proposed incremental LOF algorithm is computationally efficient, while at the same time very successful in detecting outliers and changes of distributional behavior in various data stream applications

397 citations

Journal ArticleDOI
14 May 2007-Oncogene
TL;DR: Multiple mechanisms together with specific scaffold proteins that can link G-protein-coupled receptors or G proteins to distinct MAPK modules contribute to the context-specific and spatio-temporal regulation of mitogen-activated protein signaling networks by G proteins.
Abstract: G proteins provide signal-coupling mechanisms to heptahelical cell surface receptors and are critically involved in the regulation of different mitogen-activated protein kinase (MAPK) networks. The four classes of G proteins, defined by the G(s), G(i), G(q) and G(12) families, regulate ERK1/2, JNK, p38MAPK, ERK5 and ERK6 modules by different mechanisms. The alpha- as well as betagamma-subunits are involved in the regulation of these MAPK modules in a context-specific manner. While the alpha- and betagamma-subunits primarily regulate the MAPK pathways via their respective effector-mediated signaling pathways, recent studies have unraveled several novel signaling intermediates including receptor tyrosine kinases and small GTPases through which these G-protein subunits positively as well as negatively regulate specific MAPK modules. Multiple mechanisms together with specific scaffold proteins that can link G-protein-coupled receptors or G proteins to distinct MAPK modules contribute to the context-specific and spatio-temporal regulation of mitogen-activated protein signaling networks by G proteins.

397 citations

Journal ArticleDOI
TL;DR: Ulasonographic-guided peripheral intravenous access is more successful than traditional "blind" techniques, requires less time, decreases the number of percutaneous punctures, and improves patient satisfaction in the subgroup of patients who have difficult intravenousAccess.

397 citations

Journal ArticleDOI
TL;DR: The principal effect of practice was found to be a reduction in the extent and magnitude of activity in a cortical network spanning bilateral dorsal prefrontal, left ventral prefrontal, medial frontal (anterior cingulate), left insular, bilateral parietal, and occipito-temporal areas.

397 citations


Authors

Showing all 32360 results

NameH-indexPapersCitations
Robert J. Lefkowitz214860147995
Rakesh K. Jain2001467177727
Virginia M.-Y. Lee194993148820
Yury Gogotsi171956144520
Timothy A. Springer167669122421
Ralph A. DeFronzo160759132993
James J. Collins15166989476
Robert J. Glynn14674888387
Edward G. Lakatta14685888637
Steven Williams144137586712
Peter Buchholz143118192101
David Goldstein1411301101955
Scott D. Solomon1371145103041
Donald B. Rubin132515262632
Jeffery D. Molkentin13148261594
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202366
2022335
20213,475
20203,281
20193,166
20183,019