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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
17 Jul 2019
TL;DR: A powerful end-to-end one-stage object detector called M2Det is designed and train by integrating it into the architecture of SSD, and achieve better detection performance than state-of-the-art one- stage detectors.
Abstract: Feature pyramids are widely exploited by both the state-of-the-art one-stage object detectors (e.g., DSSD, RetinaNet, RefineDet) and the two-stage object detectors (e.g., Mask RCNN, DetNet) to alleviate the problem arising from scale variation across object instances. Although these object detectors with feature pyramids achieve encouraging results, they have some limitations due to that they only simply construct the feature pyramid according to the inherent multiscale, pyramidal architecture of the backbones which are originally designed for object classification task. Newly, in this work, we present Multi-Level Feature Pyramid Network (MLFPN) to construct more effective feature pyramids for detecting objects of different scales. First, we fuse multi-level features (i.e. multiple layers) extracted by backbone as the base feature. Second, we feed the base feature into a block of alternating joint Thinned U-shape Modules and Feature Fusion Modules and exploit the decoder layers of each Ushape module as the features for detecting objects. Finally, we gather up the decoder layers with equivalent scales (sizes) to construct a feature pyramid for object detection, in which every feature map consists of the layers (features) from multiple levels. To evaluate the effectiveness of the proposed MLFPN, we design and train a powerful end-to-end one-stage object detector we call M2Det by integrating it into the architecture of SSD, and achieve better detection performance than state-of-the-art one-stage detectors. Specifically, on MSCOCO benchmark, M2Det achieves AP of 41.0 at speed of 11.8 FPS with single-scale inference strategy and AP of 44.2 with multi-scale inference strategy, which are the new stateof-the-art results among one-stage detectors. The code will be made available on https://github.com/qijiezhao/M2Det.

462 citations

Journal ArticleDOI
TL;DR: The present review summarizes the structure, distribution and function of mammalian brain insulin receptors and the possible implications for central nervous system disorders.

461 citations

Journal ArticleDOI
20 Nov 2000-Oncogene
TL;DR: It has been found that JAK kinase function is required for optimal activation of the Src-kinase cascade, the Ras-MAP kinase pathway, the PI3K-AKT pathway and STAT signaling following the interaction of cytokine/interferon receptors with their ligands.
Abstract: Cytoplasmic Janus protein tyrosine kinases (JAKs) are crucial components of diverse signal transduction pathways that govern cellular survival, proliferation, differentiation and apoptosis. Evidence to date, indicates that JAK kinase function may integrate components of diverse signaling cascades. While it is likely that activation of STAT proteins may be an important function attributed to the JAK kinases, it is certainly not the only function performed by this key family of cytoplasmic tyrosine kinases. Emerging evidence indicates that phosphorylation of cytokine and growth factor receptors may be the primary functional attribute of JAK kinases. The JAK-triggered receptor phosphorylation can potentially be a rate-limiting event for a successful culmination of downstream signaling events. In support of this hypothesis, it has been found that JAK kinase function is required for optimal activation of the Src-kinase cascade, the Ras-MAP kinase pathway, the PI3K-AKT pathway and STAT signaling following the interaction of cytokine/interferon receptors with their ligands. Aberrations in JAK kinase activity, that may lead to derailment of one or more of the above mentioned pathways could disrupt normal cellular responses and result in disease states. Thus, over-activation of JAK kinases has been implicated in tumorigenesis. In contrast, loss of JAK kinase function has been found to result in disease states such as severe-combined immunodeficiency. In summary, optimal JAK kinase activity is a critical determinant of normal transmission of cytokine and growth factor signals.

461 citations

Journal ArticleDOI
TL;DR: In this paper, the authors tested the cognitive vulnerability hypotheses of depression with a retrospective behavioral high-risk design and found that cognitively high risk participants had higher lifetime prevalence than low risk participants of major and hopelessness depression and marginally higher prevalence of minor depression.
Abstract: The authors tested the cognitive vulnerability hypotheses of depression with a retrospective behavioral high-risk design. Individuals without current Axis I diagnoses who exhibited either negative or positive cognitive styles were compared on lifetime prevalence of depressive and other disorders and the clinical parameters of depressive episodes. Consistent with predictions, cognitively high-risk participants had higher lifetime prevalence than low-risk participants of major and hopelessness depression and marginally higher prevalence of minor depression. These group differences were specific to depressive disorders. The high-risk group also had more severe depressions than the low-risk group, but not longer duration or earlier onset depressions. The risk group differences in prevalence of depressive disorders were not mediated by current depressive symptoms.

461 citations

Journal ArticleDOI
TL;DR: This paper reports the results of methodological studies carried out in conjunction with the US National Comorbidity Survey (NCS) to evaluate Version 1.0 of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI).
Abstract: This paper reports the results of methodological studies carried out in conjunction with the US National Comorbidity Survey (NCS) to evaluate Version 1.0 of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI). These studies relied on recent survey data collection methodology literature to investigate problems regarding question comprehension, instruction comprehension, respondent motivation to report accurately, and regarding the limits of respondent ability to report accurately. Insights and strategies developed by survey methodologists were used to modify the CIDI in an effort to address these problems. The paper describes these strategies and methodological studies that evaluated their effects, including a clinical reappraisal study and a field experiment that evaluated the impact of question modifications on prevalence estimates. The paper closes with a discussion of remaining methodological problems with the CIDI and potentially useful future studies that might be able to develop solutions to these problems. Copyright © 1998 Whurr Publishers Ltd.

461 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