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Institution

Pennsylvania State University

EducationState College, Pennsylvania, United States
About: Pennsylvania State University is a education organization based out in State College, Pennsylvania, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 79763 authors who have published 196876 publications receiving 8318601 citations. The organization is also known as: Penn State & PSU.


Papers
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Journal ArticleDOI
TL;DR: This poster presents a poster presented at the 2016 American Academy of Thoracic Surgeons conference on “Cardiovascular Angiography and Interventions: Foundations of Cardiovascular and Pulmonary Rehabilitation,” presented in Los Angeles, USA.
Abstract: Developed in Collaboration With the American College of Emergency Physicians, Society for Cardiovascular Angiography and Interventions, and the Society of Thoracic Surgeons. Endorsed by the American Association of Cardiovascular and Pulmonary Rehabilitation and the Society for Academic Emergency

953 citations

Journal ArticleDOI
TL;DR: These 10-year results show that induction PF followed by RT and concomitant cisplatin/RT show similar efficacy for the composite end point of LFS, and new strategies that improve organ preservation and function with less morbidity are needed.
Abstract: Purpose To report the long-term results of the Intergroup Radiation Therapy Oncology Group 91-11 study evaluating the contribution of chemotherapy added to radiation therapy (RT) for larynx preservation. Patients and Methods Patients with stage III or IV glottic or supraglottic squamous cell cancer were randomly assigned to induction cisplatin/fluorouracil (PF) followed by RT (control arm), concomitant cisplatin/RT, or RT alone. The composite end point of laryngectomy-free survival (LFS) was the primary end point. Results Five hundred twenty patients were analyzed. Median follow-up for surviving patients is 10.8 years. Both chemotherapy regimens significantly improved LFS compared with RT alone (induction chemotherapy v RT alone: hazard ratio [HR], 0.75; 95% CI, 0.59 to 0.95; P = .02; concomitant chemotherapy v RT alone: HR, 0.78; 95% CI, 0.78 to 0.98; P = .03). Overall survival did not differ significantly, although there was a possibility of worse outcome with concomitant relative to induction chemother...

952 citations

Posted Content
TL;DR: This paper considers optimization of point-to-point data transmission with an energy harvesting transmitter which has a limited battery capacity, communicating in a wireless fading channel, and introduces a directional water-filling algorithm which provides a simple and concise interpretation of the necessary optimality conditions.
Abstract: Wireless systems comprised of rechargeable nodes have a significantly prolonged lifetime and are sustainable. A distinct characteristic of these systems is the fact that the nodes can harvest energy throughout the duration in which communication takes place. As such, transmission policies of the nodes need to adapt to these harvested energy arrivals. In this paper, we consider optimization of point-to-point data transmission with an energy harvesting transmitter which has a limited battery capacity, communicating in a wireless fading channel. We consider two objectives: maximizing the throughput by a deadline, and minimizing the transmission completion time of the communication session. We optimize these objectives by controlling the time sequence of transmit powers subject to energy storage capacity and causality constraints. We, first, study optimal offline policies. We introduce a directional water-filling algorithm which provides a simple and concise interpretation of the necessary optimality conditions. We show the optimality of an adaptive directional water-filling algorithm for the throughput maximization problem. We solve the transmission completion time minimization problem by utilizing its equivalence to its throughput maximization counterpart. Next, we consider online policies. We use stochastic dynamic programming to solve for the optimal online policy that maximizes the average number of bits delivered by a deadline under stochastic fading and energy arrival processes with causal channel state feedback. We also propose near-optimal policies with reduced complexity, and numerically study their performances along with the performances of the offline and online optimal policies under various different configurations.

950 citations

Journal ArticleDOI
TL;DR: The Sloan Digital Sky Survey (SDSS) has validated and made publicly available its First Data Release as discussed by the authors, which consists of 2099 deg2 of five-band (u, g, r, i, z) imaging data, 186,240 spectra of galaxies, quasars, stars and calibrating blank sky patches selected over 1360 deg 2 of this area.
Abstract: The Sloan Digital Sky Survey (SDSS) has validated and made publicly available its First Data Release. This consists of 2099 deg2 of five-band (u, g, r, i, z) imaging data, 186,240 spectra of galaxies, quasars, stars and calibrating blank sky patches selected over 1360 deg2 of this area, and tables of measured parameters from these data. The imaging data go to a depth of r ≈ 22.6 and are photometrically and astrometrically calibrated to 2% rms and 100 mas rms per coordinate, respectively. The spectra cover the range 3800–9200 A, with a resolution of 1800–2100. This paper describes the characteristics of the data with emphasis on improvements since the release of commissioning data (the SDSS Early Data Release) and serves as a pointer to extensive published and on-line documentation of the survey.

948 citations


Authors

Showing all 80524 results

NameH-indexPapersCitations
Robert Langer2812324326306
Zhong Lin Wang2452529259003
Donald P. Schneider2421622263641
David J. Hunter2131836207050
Robert M. Califf1961561167961
Martin White1962038232387
Eric J. Topol1931373151025
Charles A. Dinarello1901058139668
Jing Wang1844046202769
Dennis S. Charney179802122408
David Haussler172488224960
Chad A. Mirkin1641078134254
Ian A. Wilson15897198221
David Cella1561258106402
Jay Hauser1552145132683
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023278
20221,326
20219,400
20209,372
20198,765
20188,150