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Institution

United States Department of the Army

GovernmentArlington, Virginia, United States
About: United States Department of the Army is a government organization based out in Arlington, Virginia, United States. It is known for research contribution in the topics: Poison control & Population. The organization has 32668 authors who have published 42453 publications receiving 947075 citations. The organization is also known as: DA & U.S. Department of the Army.
Topics: Poison control, Population, Laser, Signal, Virus


Papers
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Journal ArticleDOI
TL;DR: It is suggested that Substance P participates in the complex network of mediators that regulate cutaneous inflammation and potentially the rate of wound healing.

188 citations

Journal ArticleDOI
TL;DR: Results indicate that HEV is a zoonotic virus, and that swine are among its natural hosts.
Abstract: The prevalence of hepatitis E virus (HEV) infections among 55 domestic swine living in the Kathmandu Valley of Nepal was investigated. Sera and stool specimens were collected from 47 free-roaming swine and examined for the presence of HEV genomic sequences by the reverse transcription-polymerase chain reaction. Sera from these animals, as well as sera from eight other swine, were also examined for the presence of HEV-specific antibodies by an enzyme-linked immunosorbent assay and by a fluorescent antibody blocking assay. Hepatitis E virus RNA was detected in the sera and/or stool of three of 47 swine, while HEV-specific antibodies were detected in 18 of 55 swine. These results indicate that HEV is a zoonotic virus, and that swine are among its natural hosts.

188 citations

Journal ArticleDOI
TL;DR: A group of 10,440 patients received lidocaine for spinal anesthesia and no patient developed a major central nervous problem, such as arachnoiditis or cauda equina syndrome.
Abstract: A group of 10,440 patients received lidocaine for spinal anesthesia. No patient developed a major central nervous problem, such as arachnoiditis or cauda equina syndrome. Eight patients had symptoms of abducens paralysis, which disappeared before they left the hospital; 367 patients (3.5 per cent) s

187 citations

PatentDOI
TL;DR: In this article, the authors describe a system whereby in a transmit mode analog speech is sampled d converted digitally to 12 bits of accuracy and then fed into a fast Fourier transform (FFT) processor which analyzes the speech into spectral and pitch parameters.
Abstract: Disclosed is a system whereby in a transmit mode analog speech is sampled d converted digitally to 12 bits of accuracy and then fed into a fast Fourier transform (FFT) processor which analyzes the speech into spectral and pitch parameters. These parameters are then quantized into a data stream which acts as an input to a differential phase shift keying modulator. The modulator constructs a multi-tone modem output signal from a 25 tone stack which is converted to an analog signal which is fed into a communications channel. In the receive mode a modem input signal from the communications channel is fed through the same analog to digital converter which was used for input speech. A data stream is now provided which is coupled back into the same digital FFT processor which now operates to provide pitch spectral coefficients which are then separated and used by a synthesizer to reconstruct a speech waveform. The speech waveform is applied to a digital analog converter which is the same converter used to produce the line signal when the processor operates in the transmit mode. The FFT processor implements a single FFT algorithm which is used for both vocoder and modem processing in both the transmit and receive modes.

187 citations


Authors

Showing all 32680 results

NameH-indexPapersCitations
David L. Kaplan1771944146082
Russel J. Reiter1691646121010
Donald G. Truhlar1651518157965
Jie Liu131153168891
Martin A. Green127106976807
William J. Kraemer12375554774
Steven J. Jacobsen12366262716
Roger H Unger12149348035
Thomas C. Quinn12082765881
John B. Holcomb12073353760
Stephen Mann12066955008
Bette T. Korber11739249526
Thomas G. Ksiazek11339846108
John R. Anderson11253884725
Stanley I. Rapoport10769645793
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20232
202229
2021914
2020960
2019964
2018911