1,726,191 research outputs found
Ryan, T R, 424923
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/414899Surname: RYAN. Given Name(s) or Initials: T R. Military Service Number or Last Known Location: 424923. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 55505.235045
Item: [2016.0049.47160] "Ryan, T R, 424923
Ryan, T J, VX46789
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/414992Surname: RYAN. Given Name(s) or Initials: T J. Military Service Number or Last Known Location: VX46789. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 42278.235254
Item: [2016.0049.47253] "Ryan, T J, VX46789
Ryan, T M, 436573
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/414901Surname: RYAN. Given Name(s) or Initials: T M. Military Service Number or Last Known Location: 436573. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 57285.235051
Item: [2016.0049.47162] "Ryan, T M, 436573
Demonstration of a healthy young adult walking under the conditions tested in Experiment 2.
No full textAuthor name: Ryan T. Roemmich, PhD. Videographer: Jan Stenum, PhD. Participant: Ryan T. Roemmich, PhD. Length: 1:51. Size: 77,700 MB. (MP4)</p
Measurements of the structure of urban-type boundary layers
Get PDFIn order to gain a better understanding of the fundamental structure associated with turbulent flows over very rough, urban-type surfaces, laboratory experiments were undertaken in a subsonic wind tunnel facility at the University of Southampton. It was anticipated that undertaking this work would provide better insight into fundamental differences in the flow structure compared to smooth-wall surfaces. After modification of an existing facility to accommodate a longer working section length, testing proceeded over a regular array of cube roughness elements with a 25% area density. Measurements were conducted with hot-wire anemometry, Laser Doppler anemometry, and particle image velocimetry. Development of the particle image velocimetry technique to obtain accurate turbulence statistics over and among the roughness elements was successfully undertaken providing significant new analysis opportunities and results.Initial testing characterised a large-scale spanwise variation discovered within the boundary layer developing over the cube surface. It was found that mean velocity variation in the span at a height of 50% of the boundary layer thickness could exceed ±5%. Further testing was conducted at locations far enough downstream to minimise the amplitude of the variation. Time-averaged mean velocity and turbulence statistics were collected revealing the averaged flow features. The peak Reynolds shear stress near the cube surface was found to be a strong function of the relative boundary layer thickness compared to the roughness size. Quadrant analysis showed the instantaneous sweep motions found near the rough surface intermittently producing large percentages of the local shear stress. Spatial correlation analysis of the instantaneous field data collected with particle image velocimetry revealed long, streamwise-stretched regions of streamwise mean velocity cross correlation. Correlation analysis also allowed calculation of the structure angle of the streamwise velocity cross correlation and the associated integral length scales of the turbulence structure. Two integral length scales were found in certain locations near the cube surface highlighting the complex nature of the flow and inherent difference compared to smooth wall flows. Comparisons were made with existing direct numerical simulation studies over identical geometries showing many general similarities but also indicating differences associated with the assumptions governing each approach. Together, the experiments and analysis establish a broad picture of the distinct flow structure found in urban-type flows
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
What is Really Fair: Internet Sales and the Georgia Long-Arm Statute
Get PDFHolte, Ryan T.. (2009). What is Really Fair: Internet Sales and the Georgia Long-Arm Statute. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/155716
Estimation of the population size by using the one-inflated positive Poisson model
No full textIn population size estimation, many capture–recapture-type data exhibit a preponderance of ‘1’-counts. This excess of 1s can arise as subjects gain information from the initial capture that provides a desire and ability to avoid subsequent captures. Existing population size estimators that purport to deal with heterogeneity can be much too large in the presence of 1-inflation, which is a specific form of heterogeneity. To deal with the phenomena of excess 1s, we propose the one-inflated positive Poisson model for use as the truncated count distribution in Horvitz–Thompson estimation of the population size
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