9,546 research outputs found
University Scholar Series: Craig B. Clements
Groundbreaking Research on Wildfire Weather
On November 28, 2012 Craig B. Clements spoke in the University Scholar Series hosted by Provost Ellen Junn at the Dr. Martin Luther King, Jr. Library. Craig Clements is an associate professor in the Department of Meteorology and Climate Science who received a $900,000 National Science Foundation CAREER grant for his work in tracking atmospheric conditions in and around wildfires. His work will better help predict wildfire behavior and conditions that could lead to increased wildfire danger.https://scholarworks.sjsu.edu/uss/1016/thumbnail.jp
Excitations in confined helium
We design models for helium in matrices like aerogel, Vycor or Geltech from a
manifestly microscopic point of view. For that purpose, we calculate the
dynamic structure function of 4He on Si substrates and between two Si walls as
a function of energy, momentum transfer, and the scattering angle. The
angle--averaged results are in good agreement with the neutron scattering data;
the remaining differences can be attributed to the simplified model used here
for the complex pore structure of the materials. A focus of the present work is
the detailed identification of coexisting layer modes and bulk--like
excitations, and, in the case of thick films, ripplon excitations. Involving
essentially two--dimensional motion of atoms, the layer modes are sensitive to
the scattering angle.Comment: Phys. Rev. B (2003, in press
Diffusion Monte Carlo study of two-dimensional liquid He
The ground-state properties of two-dimensional liquid He at zero
temperature are studied by means of a quadratic diffusion Monte Carlo method.
As interatomic potential we use a revised version of the HFDHE2 Aziz potential
which is expected to give a better description of the interaction between
helium atoms. The equation of state is determined with great accuracy over a
wide range of densities in the liquid phase from the spinodal point up to the
freezing density. The spinodal decomposition density is estimated and other
properties of the liquid, such as radial distribution function, static form
factor, momentum distribution and density dependence of the condensate fraction
are all presented.Comment: 19 pages, RevTex 3.0, 7 figures available upon reques
Evaluation of WRF-Sfire Performance with Field Observations from the FireFlux experiment
This study uses in-situ measurements collected during the FireFlux field
experiment to evaluate and improve the performance of coupled atmosphere-fire
model WRF-Sfire. The simulation by WRF-Sfire of the experimental burn shows
that WRF-Sfire is capable of providing realistic head fire rate-of-spread and
the vertical temperature structure of the fire plume, and, up to 10 m above
ground level, fire-induced surface flow and vertical velocities within the
plume. The model captured the changes in wind speed and direction before,
during, and after fire front passage, along with arrival times of wind speed,
temperature, and updraft maximae, at the two instrumented flux towers used in
FireFlux. The model overestimated vertical velocities and underestimated
horizontal wind speeds measured at tower heights above the 10 m, and it is
hypothesized that the limited model resolution over estimated the fire front
depth, leading to too high a heat release and, subsequently, too strong an
updraft. However, on the whole, WRF-Sfire fire plume behavior is consistent
with the interpretation of FireFlux observations. The study suggests optimal
experimental pre-planning, design, and execution of future field campaigns that
are needed for further coupled atmosphere-fire model development and
evaluation
Projecting prevalence by stage of care for prostate cancer and estimating future health service needs: protocol for a modelling study
Introduction Current strategies for the management of prostate cancer are inadequate in Australia. We will, in this study, estimate current service needs and project the future needs for prostate cancer patients in Australia. Methods and analysis First, we will project the future prevalence of prostate cancer for 2010-2018 using data for 1972-2008 from the New South Wales (NSW) Central Cancer Registry. These projections, based on modelled incidence and survival estimates, will be estimated using PIAMOD (Prevalence, Incidence, Analysis MODel) software. Then the total prevalence will be decomposed into five stages of care: initial care, continued monitoring, recurrence, last year of life and long-term survivor. Finally, data from the NSW Prostate Cancer Care and Outcomes Study, including data on patterns of treatment and associated quality of life, will be used to estimate the type and amount of services that will be needed by prostate cancer patients in each stage of care. In addition, Central Cancer Registry episode data will be used to estimate transition rates from localised or locally advanced prostate cancer to metastatic disease. Medicare and Pharmaceutical Benefits data, linked with Prostate Cancer Care and Outcomes Study data, will be used to complement the Cancer Registry episode data. The methods developed will be applied Australia-wide to obtain national estimates of the future prevalence of prostate cancer for different stages of clinical care. Ethics and dissemination This study was approved by the NSW Population and Health Services Research Ethics Committee. Results of the study will be disseminated widely to different interest groups and organisations through a report, conference presentations and peer-reviewed articles.This work is supported by the Prostate Cancer Foundation of Australia (grant number: PCFA – YI 0410). Both David Smith and Xue Qin Yu are supported by an Australian NHMRC Training Fellowship (Ref 1016598, 550002). Mark Clements is supported by an Australian NHMRC Career Development Award (Ref 471491)
Stable Kalman filters for processing clock measurement data
Kalman filters have been used for some time to process clock measurement data. Due to instabilities in the standard Kalman filter algorithms, the results have been unreliable and difficult to obtain. During the past several years, stable forms of the Kalman filter have been developed, implemented, and used in many diverse applications. These algorithms, while algebraically equivalent to the standard Kalman filter, exhibit excellent numerical properties. Two of these stable algorithms, the Upper triangular-Diagonal (UD) filter and the Square Root Information Filter (SRIF), have been implemented to replace the standard Kalman filter used to process data from the Deep Space Network (DSN) hydrogen maser clocks. The data are time offsets between the clocks in the DSN, the timescale at the National Institute of Standards and Technology (NIST), and two geographically intermediate clocks. The measurements are made by using the GPS navigation satellites in mutual view between clocks. The filter programs allow the user to easily modify the clock models, the GPS satellite dependent biases, and the random noise levels in order to compare different modeling assumptions. The results of this study show the usefulness of such software for processing clock data. The UD filter is indeed a stable, efficient, and flexible method for obtaining optimal estimates of clock offsets, offset rates, and drift rates. A brief overview of the UD filter is also given
Outflows in Infrared-Luminous Starbursts at z < 0.5. I. Sample, NaI D Spectra, and Profile Fitting
We have conducted a spectroscopic survey of 78 starbursting infrared-luminous
galaxies at redshifts up to z = 0.5. We use moderate-resolution spectroscopy of
the NaI D interstellar absorption feature to directly probe the neutral phase
of outflowing gas in these galaxies. Over half of our sample are ultraluminous
infrared galaxies that are classified as starbursts; the rest have infrared
luminosities in the range log(L_IR/L_sun) = 10.2 - 12.0. The sample selection,
observations, and data reduction are described here. The absorption-line
spectra of each galaxy are presented. We also discuss the theory behind
absorption-line fitting in the case of a partially-covered, blended absorption
doublet observed at moderate-to-high resolution, a topic neglected in the
literature. A detailed analysis of these data is presented in a companion
paper.Comment: 59 pages, 18 figures in AASTeX preprint style; to appear in September
issue of ApJ
Early Aspects at ICSE 2007: Workshop on Aspect-Oriented Requirements Engineering and Architecture Design
The “Early Aspects @ ICSE’07” is the 11th workshop in the series of Early Aspects workshops [1] which focuses on aspect identification during the requirements engineering and architecture derivation activities. The specific aim of the present workshop is twofold: (a) to initiate creation of an Early Aspects application demonstration and comparisons benchmark; and (b) to solicit submission of new
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Cognitive appraisals affect both embodiment of thermal sensation and its mapping to thermal evaluation
The physical environment leads to a thermal sensation that is perceived and appraised by occupants. The present study focuses on the relationship between sensation and evaluation. We asked 166 people to recall a thermal event from their recent past. They were then asked how they evaluated this experience in terms of 10 different emotions (frustrated, resigned, dislike, indifferent, angry, anxious, liking, joyful, regretful, proud). We tested whether four psychological factors (appraisal dimensions) could be used to predict the ensuing emotions, as well as comfort, acceptability, and sensation. The four dimensions were: the Conduciveness of the event, who/what caused the event (Causality), who had control (Agency), and whether the event was expected (Expectations). These dimensions, except for Expectations, were good predictors of the reported emotions. Expectations, however, predicted the reported thermal sensation, its acceptability, and ensuing comfort. The more expected an event was, the more uncomfortable a person felt, and the less likely they reported a neutral thermal sensation. Together, these results support an embodied view of how subjective appraisals affect thermal experience. Overall, we show that appraisal dimensions mediate occupants' evaluation of their thermal sensation, which suggests an additional method for understanding psychological adaption
Imaging of Ultraluminous Infrared Galaxies in the Near-UV
We present the first ground-based U' (3410 angstroms) images of Ultraluminous
Infrared Galaxies (ULIGs). Strong U' emission (median total M_U' = -20.8) is
seen in all systems and in some cases the extended tidal features (both the
smooth stellar distribution and compact star-forming features) contribute up to
60-80% of the total flux. The star-forming regions in both samples are found to
have ages based on spectral synthesis models in the range 10-100 Myrs, and most
differences in color between them can be attributed to the effects of dust
reddening. Additionally, it is found that star-formation in compact knots in
the tidal tails is most prominent in those ULIGs which have double nuclei,
suggesting that the star-formation rate in the tails peaks prior to the actual
coalescence of the galaxy nuclei and diminishes quickly thereafter. Similar to
results at other wavelengths, the observed star formation at U' can only
account for a small fraction of the known bolometric luminosity of the ULIGs.
Azimuthally averaged radial light profiles at U' are characterized by a sersic
law with index n=2, which is intermediate between an exponential disk and an
r^(-1/4) law and closely resembles the latter at large radii. The implications
of this near-ultraviolet imaging for optical/near-infrared observations of high
redshift counterparts of ULIGs are discussed.Comment: 30 pages, 4 tables, and 9 figures, 2 of which are JPEGs. To appear in
the August, 2000 edition of the Astronomical Journa
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