Institution
United States Department of the Army
Government•Arlington, 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 published on a yearly basis
Papers
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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
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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
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187 citations
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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
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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
Name | H-index | Papers | Citations |
---|---|---|---|
David L. Kaplan | 177 | 1944 | 146082 |
Russel J. Reiter | 169 | 1646 | 121010 |
Donald G. Truhlar | 165 | 1518 | 157965 |
Jie Liu | 131 | 1531 | 68891 |
Martin A. Green | 127 | 1069 | 76807 |
William J. Kraemer | 123 | 755 | 54774 |
Steven J. Jacobsen | 123 | 662 | 62716 |
Roger H Unger | 121 | 493 | 48035 |
Thomas C. Quinn | 120 | 827 | 65881 |
John B. Holcomb | 120 | 733 | 53760 |
Stephen Mann | 120 | 669 | 55008 |
Bette T. Korber | 117 | 392 | 49526 |
Thomas G. Ksiazek | 113 | 398 | 46108 |
John R. Anderson | 112 | 538 | 84725 |
Stanley I. Rapoport | 107 | 696 | 45793 |