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Institution

State University of New York System

EducationAlbany, New York, United States
About: State University of New York System is a education organization based out in Albany, New York, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 54077 authors who have published 78070 publications receiving 2985160 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors examined the effect of firm-generated content (FGC) in social media on three key customer metrics: spending, cross-buying, and customer profitability.
Abstract: Given the unprecedented reach of social media, firms are increasingly relying on it as a channel for marketing communication. The objective of this study is to examine the effect of firm-generated content (FGC) in social media on three key customer metrics: spending, cross-buying, and customer profitability. The authors further investigate the synergistic effects of FGC with television advertising and e-mail communication. To accomplish their objectives, the authors assemble a novel data set comprising customers’ social media participation data, transaction data, and attitudinal data obtained through surveys. The results indicate that after the authors account for the effects of television advertising and e-mail marketing, FGC has a positive and significant effect on customers’ behavior. The authors show that FGC works synergistically with both television advertising and e-mail marketing and also find that the effect of FGC is greater for more experienced, tech-savvy, and social media–prone custom...

614 citations

Journal ArticleDOI
TL;DR: The results of this nanomedicine approach using ORMOSIL nanoparticles as a nonviral gene delivery platform have a promising future direction for effective therapeutic manipulation of the neural stem/progenitor cells as well as in vivo targeted brain therapy.
Abstract: This article reports on the application of organically modified silica (ORMOSIL) nanoparticles as a nonviral vector for efficient in vivo gene delivery. Highly monodispersed, stable aqueous suspension of nanoparticles, surface-functionalized with amino groups for binding of DNA, were prepared and characterized. Stereotaxic injections of nanoparticles, complexed with plasmid DNA encoding for EGFP, into the mouse ventral midbrain and into lateral ventricle, allowed us to fluorescently visualize the extensive transfection of neuronal-like cells in substantia nigra and areas surrounding the lateral ventricle. No ORMOSIL-based toxicity was observed 4 weeks after transfection. The efficiency of transfection equaled or exceeded that obtained in studies using a viral vector. An in vivo optical imaging technique (a fiber-based confocal fluorescent imaging system) provided an effective means to show the retention of viability of the transfected cells. The ORMOSIL-mediated transfections also were used to manipulate the biology of the neural stem/progenitor cells in vivo. Transfection of a plasmid expressing the nucleus-targeting fibroblast growth factor receptor type 1 resulted in significant inhibition of the in vivo incorporation of bromodeoxyuridine into the DNA of the cells in the subventricular zone and the adjacent rostral migratory stream. This in vivo approach shows that the nuclear receptor can control the proliferation of the stem/progenitor cells in this region of the brain. The results of this nanomedicine approach using ORMOSIL nanoparticles as a nonviral gene delivery platform have a promising future direction for effective therapeutic manipulation of the neural stem/progenitor cells as well as in vivo targeted brain therapy.

613 citations

Journal ArticleDOI
25 Aug 2020
TL;DR: A laboratory protocol to quantify viral titers in raw sewage via qPCR analysis and validate results with sequencing analysis suggests that the number of positive cases estimated from wastewater viral titer is orders of magnitude greater than the numberof confirmed clinical cases and therefore may significantly impact efforts to understand the case fatality rate and progression of disease.
Abstract: Wastewater surveillance represents a complementary approach to clinical surveillance to measure the presence and prevalence of emerging infectious diseases like the novel coronavirus SARS-CoV-2. This innovative data source can improve the precision of epidemiological modeling to understand the penetrance of SARS-CoV-2 in specific vulnerable communities. Here, we tested wastewater collected at a major urban treatment facility in Massachusetts and detected SARS-CoV-2 RNA from the N gene at significant titers (57 to 303 copies per ml of sewage) in the period from 18 to 25 March 2020 using RT-qPCR. We validated detection of SARS-CoV-2 by Sanger sequencing the PCR product from the S gene. Viral titers observed were significantly higher than expected based on clinically confirmed cases in Massachusetts as of 25 March. Our approach is scalable and may be useful in modeling the SARS-CoV-2 pandemic and future outbreaks. IMPORTANCE Wastewater-based surveillance is a promising approach for proactive outbreak monitoring. SARS-CoV-2 is shed in stool early in the clinical course and infects a large asymptomatic population, making it an ideal target for wastewater-based monitoring. In this study, we develop a laboratory protocol to quantify viral titers in raw sewage via qPCR analysis and validate results with sequencing analysis. Our results suggest that the number of positive cases estimated from wastewater viral titers is orders of magnitude greater than the number of confirmed clinical cases and therefore may significantly impact efforts to understand the case fatality rate and progression of disease. These data may help inform decisions surrounding the advancement or scale-back of social distancing and quarantine efforts based on dynamic wastewater catchment-level estimations of prevalence.

612 citations


Authors

Showing all 54162 results

NameH-indexPapersCitations
Meir J. Stampfer2771414283776
Bert Vogelstein247757332094
Zhong Lin Wang2452529259003
Peter Libby211932182724
Robert M. Califf1961561167961
Stephen V. Faraone1881427140298
David L. Kaplan1771944146082
David Baker1731226109377
Nora D. Volkow165958107463
David R. Holmes1611624114187
Richard J. Davidson15660291414
Ronald G. Crystal15599086680
Jovan Milosevic1521433106802
James J. Collins15166989476
Mark A. Rubin14569995640
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202325
2022168
20212,825
20202,891
20192,528
20182,456