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Institution

Drexel University

EducationPhiladelphia, 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
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Journal ArticleDOI
TL;DR: Results indicate that fN IR measures are sensitive to mental task load and practice level, and provide evidence of the fNIR deployment in the field for its ability to monitor hemodynamic changes that are associated with relative cognitive workload changes of operators.

540 citations

Journal ArticleDOI
TL;DR: Initiation of apoptosis, or programmed cell death, is an important issue in cancer treatment as cancer cells frequently have acquired the ability to block apoptosis and thus are more resistant to chemotherapeutic drugs.
Abstract: Initiation of apoptosis, or programmed cell death, is an important issue in cancer treatment as cancer cells frequently have acquired the ability to block apoptosis and thus are more resistant to chemotherapeutic drugs. Targeted and perhaps selective destruction of cancerous tissue is desirable for many reasons, ranging from the enhancement of or aid to current medical methods to problems currently lacking a solution, i.e., lung cancer. Demonstrated in this publication is the inactivation (killing) of human Melanoma skin cancer cell lines, in vitro, by Floating Electrode Dielectric Barrier Discharge (FE-DBD) plasma. Not only are these cells shown to be killed immediately by high doses of plasma treatment, but low doses are shown to promote apoptotic behavior as detected by TUNEL staining and subsequent flow cytometry. It is shown that plasma acts on the cells directly and not by “poisoning” the solution surrounding the cells, even through a layer of such solution. Potential mechanisms of interaction of plasma with cells are discussed and further steps are proposed to develop an understanding of such systems.

539 citations

Journal ArticleDOI
TL;DR: It is demonstrated that vector unpackaging should be added to the list of barriers to receptor-mediated polyplex gene delivery, thus providing an additional design principle for targeted synthetic delivery vehicles.
Abstract: Ligand-conjugated polymer (polyplex) gene delivery vectors have strong potential as targeted, in vivo gene transfer vehicles; however, they are currently limited by low delivery efficiency. A number of barriers to polyplex-mediated delivery have been previously identified, including receptor binding, internalization, endosomal escape, and nuclear localization. However, based on understanding of viral gene delivery systems, yet another potential barrier may exist; a limited ability to unpackage the plasmid DNA cargo following localization to the nucleus. We have developed a model system that employs a cationic polymer linked to epidermal growth factor (EGF) as a ligand to target delivery of plasmid DNA encoding the green fluorescent protein to mouse fibroblasts bearing the EGF receptor. Using fluorescence microscopy to simultaneously trace both the plasmid and polymer during gene delivery in combination with an in vitro transcription assay, we provide evidence that plasmid unpackaging can indeed be a limiting step for gene expression for sufficiently large polymer constructs. Short-term expression is significantly enhanced by using short polycations that dissociate from DNA more rapidly both in vitro and in vivo. Finally, we describe a thermodynamic model that supports these data by showing that shorter polycations can have a higher probability of dissociating from DNA. This work demonstrates that vector unpackaging should be added to the list of barriers to receptor-mediated polyplex gene delivery, thus providing an additional design principle for targeted synthetic delivery vehicles.

539 citations

Journal ArticleDOI
TL;DR: In this article, the authors argue that not all independent directors are equally effective in monitoring top management, and that independent directors who are appointed by the CEO are likely to have stronger allegiance to the CEO and will be weaker monitors.
Abstract: We argue that not all independent directors are equally effective in monitoring top management. Specifically, directors who are appointed by the CEO are likely to have stronger allegiance to the CEO and will be weaker monitors. To examine this hypothesis, we propose and empirically deploy two new measures of board composition. Co-option is the fraction of the board comprised of directors appointed after the sitting CEO assumed office. Consistent with Co-option serving to measure board capture, as Co-option increases board monitoring intensity decreases: turnover-performance sensitivity diminishes; pay level increases but without a commensurate increase in pay-performance sensitivity; and investment in hard assets increases. Further analysis suggests that even independent directors who are co-opted are less effective monitors. Non-Co-opted Independence –– the fraction of the board comprised of independent directors who were already on the board before the CEO assumed office –– has more explanatory power for monitoring effectiveness than the traditional measure of board independence.

537 citations

Journal ArticleDOI
TL;DR: The influence of enzymes such as lecithin-cholesterol acyltransferase and hepatic lipase on the direction of net transfer of free cholesterol between lipoproteins and cells can be understood in terms of their effects on the pool sizes and the rate constants for influx and efflux.

536 citations


Authors

Showing all 26976 results

NameH-indexPapersCitations
John Q. Trojanowski2261467213948
Peter Libby211932182724
Virginia M.-Y. Lee194993148820
Yury Gogotsi171956144520
Dennis R. Burton16468390959
M.-Marsel Mesulam15055890772
Edward G. Lakatta14685888637
Gordon T. Richards144613110666
David Price138168793535
Joseph Sodroski13854277070
Hannu Kurki-Suonio13843399607
Jun Lu135152699767
Stephen F. Badylak13353057083
Michael E. Thase13192375995
Edna B. Foa12958873034
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202371
2022382
20212,354
20202,344
20192,235
20182,165