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5 results on '"Sargent, Jack"'

1. Additional file 3: of FusorSV: an algorithm for optimally combining data from multiple structural variation detection methods

Author

Becker, Timothy, Wan-Ping Lee, Leone, Joseph, Qihui Zhu, Chengsheng Zhang, Liu, Silvia, Sargent, Jack, Kritika Shanker, Mil-Homens, Adam, Cerveira, Eliza, Ryan, Mallory, Cha, Jane, Navarro, Fabio, Galeev, Timur, Gerstein, Mark, Mills, Ryan, Dong-Guk Shin, Lee, Charles, and Malhotra, Ankit

Abstract

This file contains the supplemental methods. (DOCX 163 kb)

Published
2018
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2. Additional file 1: of FusorSV: an algorithm for optimally combining data from multiple structural variation detection methods

Author

Becker, Timothy, Wan-Ping Lee, Leone, Joseph, Qihui Zhu, Chengsheng Zhang, Liu, Silvia, Sargent, Jack, Kritika Shanker, Mil-Homens, Adam, Cerveira, Eliza, Ryan, Mallory, Cha, Jane, Navarro, Fabio, Galeev, Timur, Gerstein, Mark, Mills, Ryan, Dong-Guk Shin, Lee, Charles, and Malhotra, Ankit

Abstract

This file contains Figures S1â S7. (DOCX 5111 kb)

Published
2018
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3. Additional file 6: of FusorSV: an algorithm for optimally combining data from multiple structural variation detection methods

Author

Becker, Timothy, Wan-Ping Lee, Leone, Joseph, Qihui Zhu, Chengsheng Zhang, Liu, Silvia, Sargent, Jack, Kritika Shanker, Mil-Homens, Adam, Cerveira, Eliza, Ryan, Mallory, Cha, Jane, Navarro, Fabio, Galeev, Timur, Gerstein, Mark, Mills, Ryan, Dong-Guk Shin, Lee, Charles, and Malhotra, Ankit

Abstract

Reviewer reports and Authorâ s response to reviewers. (DOCX 34 kb)

Published
2018
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4. Additional file 4: of FusorSV: an algorithm for optimally combining data from multiple structural variation detection methods

Author

Becker, Timothy, Wan-Ping Lee, Leone, Joseph, Qihui Zhu, Chengsheng Zhang, Liu, Silvia, Sargent, Jack, Kritika Shanker, Mil-Homens, Adam, Cerveira, Eliza, Ryan, Mallory, Cha, Jane, Navarro, Fabio, Galeev, Timur, Gerstein, Mark, Mills, Ryan, Dong-Guk Shin, Lee, Charles, and Malhotra, Ankit

Abstract

This file contains Tables S1â S4. (DOCX 67 kb)

Published
2018
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5. Recording Microwave Hygrometer

Author

Birnbaum George and Sargent Jack

Subjects
Materials science, Optics, Hygrometer, Refractometer, Vapor pressure, business.industry, Saturation vapor density, Vapour pressure of water, Calibration, business, Instrumentation, Refractive index, Microwave
Abstract

A description is given of a microwave refractometer designed to measure and record the water vapor pressure in a moving air stream, particularly at very low vapor pressures. The instrument has a sensitivity of 0.004 mm Hg with a four decade range extending to 71.3 mm Hg vapor pressure. By means of microwave techniques the difference in refractive index between dry and humid air is determined and then converted to vapor pressure by an empirical formula. The instrument can be readily calibrated by the use of pure gases whose dielectric constants are precisely known. Because of the automatic null‐balancing technique used, the instrument has excellent calibration stability. Test results involving the measurement of known vapor pressures in the ranges of 0 to 0.15 mm Hg and 0 to 15 mm Hg are described. Possible applications of this instrument for the measurement of refractive index variation and its use for quality control are briefly discussed.

Published
1959

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