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Institution

Georgetown University

EducationWashington D.C., District of Columbia, United States
About: Georgetown University is a education organization based out in Washington D.C., District of Columbia, United States. It is known for research contribution in the topics: Population & Cancer. The organization has 23377 authors who have published 43718 publications receiving 1748598 citations. The organization is also known as: GU & Georgetown.


Papers
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Proceedings ArticleDOI
05 Mar 2019
TL;DR: This paper proposed easy data augmentation techniques for boosting performance on text classification tasks, which consists of synonym replacement, random insertion, random swap, and random deletion, and showed that EDA improves performance for both convolutional and recurrent neural networks.
Abstract: We present EDA: easy data augmentation techniques for boosting performance on text classification tasks. EDA consists of four simple but powerful operations: synonym replacement, random insertion, random swap, and random deletion. On five text classification tasks, we show that EDA improves performance for both convolutional and recurrent neural networks. EDA demonstrates particularly strong results for smaller datasets; on average, across five datasets, training with EDA while using only 50% of the available training set achieved the same accuracy as normal training with all available data. We also performed extensive ablation studies and suggest parameters for practical use.

789 citations

Journal ArticleDOI
01 Jun 1989-Nature
TL;DR: SIVsm has infected macaques in captivity and humans in West Africa and evolved as SIVmac and HIV-2, respectively, according to molecularly cloned and sequenced SIVsm.
Abstract: THE ancestors of the human immunodeficiency viruses (HIV-1 and HIV-2) may have evolved from a reservoir of African non-human primate lentiviruses, termed simian immunodeficiency viruses (SIV)1. None of the SIV strains characterized so far are closely related to HIV-12–6. HIV-2, however, is closely related to SIV (SIVmac) isolated from captive rhesus macaques (Macaca mulatta)7. SIV infection of feral Asian macaques has not been demonstrated by serological surveys8,9. Thus, macaques may have acquired SIV in captivity by cross-species transmission from an SIV-infected African primate. Sooty mangabeys (Cercocebm atys), an African primate species indigenous to West Africa, however, are infected with SIV (SIVsm) both in captivity9–11and in the wild (P. Fultz, personal communication). We have molecularly cloned and sequenced SIVsm and report here that it is closely related to SIVmac and HIV-2. These results suggest that SIVsm has infected macaques in captivity and humans in West Africa and evolved as SIVmac and HIV-2, respectively.

786 citations

Journal ArticleDOI
TL;DR: Imaging results suggest that intra-brain vascular dysregulation is an early pathological event during disease development, suggesting early memory deficit associated with the primary disease factors.
Abstract: Multifactorial mechanisms underlying late-onset Alzheimer's disease (LOAD) are poorly characterized from an integrative perspective. Here spatiotemporal alterations in brain amyloid-β deposition, metabolism, vascular, functional activity at rest, structural properties, cognitive integrity and peripheral proteins levels are characterized in relation to LOAD progression. We analyse over 7,700 brain images and tens of plasma and cerebrospinal fluid biomarkers from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Through a multifactorial data-driven analysis, we obtain dynamic LOAD-abnormality indices for all biomarkers, and a tentative temporal ordering of disease progression. Imaging results suggest that intra-brain vascular dysregulation is an early pathological event during disease development. Cognitive decline is noticeable from initial LOAD stages, suggesting early memory deficit associated with the primary disease factors. High abnormality levels are also observed for specific proteins associated with the vascular system's integrity. Although still subjected to the sensitivity of the algorithms and biomarkers employed, our results might contribute to the development of preventive therapeutic interventions.

786 citations

Posted Content
TL;DR: The authors empirically investigated the determinants of migration inflows into fourteen OECD countries by country of origin, between 1980 and 1995, and analyzed the effect on migration of average income and income dispersion in destination and origin countries.
Abstract: In this paper I empirically investigate the determinants of migration inflows into fourteen OECD countries by country of origin, between 1980 and 1995. I analyze the effect on migration of average income and income dispersion in destination and origin countries. I also examine the impact of geographical, cultural, and demographic factors as well as the role played by changes in destination countries' migration policies. My analysis both delivers estimates consistent with the predictions of the international migration model and generates empirical puzzles.

781 citations


Authors

Showing all 23641 results

NameH-indexPapersCitations
Cyrus Cooper2041869206782
David Cella1561258106402
Carl H. June15683598904
Ichiro Kawachi149121690282
Judy Garber14775679157
Bernard J. Gersh14697395875
Edward G. Lakatta14685888637
Eugene C. Butcher14644672849
Mark A. Rubin14569995640
Richard B. Devereux144962116403
Robert H. Purcell13966670366
Eric P. Winer13975171587
Richard L. Huganir13742561023
Rasmus Nielsen13555684898
Henry T. Lynch13392586270
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202396
2022412
20212,350
20202,311
20191,844
20181,767