3,793 research outputs found
GENETIC TESTING PRACTICES OF GENETIC COUNSELORS, GENETICISTS, AND PEDIATRIC NEUROLOGISTS WITH REGARD TO CHILDHOOD-ONSET NEUROGENETIC CONDITIONS
Identifying genetic diagnoses for neurological conditions with a considerable hereditary component, such as autism spectrum disorder (ASD), intellectual disability, and epilepsy, is critical to providing proper medical management for these patients and their families. However, many patients with these conditions are not tested appropriately or receive no genetic testing at all. The current study was designed to characterize the genetic testing practices of the providers most likely to evaluate or order genetic testing for these patients: pediatric neurologists, geneticists, and genetic counselors. The study noted significant variance between the testing strategies selected by pediatric neurologists compared to those of geneticists and genetic counselors and supports the need for updated guidelines that are consistent across specialties. Pediatric neurologists report lower confidence with ordering genetic testing and a need and desire for further education regarding genetic testing. This study proposes that the continued integration of genetic counselors into pediatric neurology clinics may improve utilization of genetic testing while reducing the burden on neurologists
Design of Remote Datalogger Connection and Live Data Tweeting System
Low-Impact Development (LID) is an attempt to sustainably respond to the potential hazards posed by urban expansion. Green roofs are an example of LID design meant to reduce the amount of runoff from storm events that are becoming more intense and less predictable while also providing insulation to buildings. LID has not yet been widely adopted as it is often a more expensive alternative to conventional infrastructure (Bowman et. al., 2009). However, its benefits are apparent. The University of Arkansas Honors College awarded a grant to research the large green roof atop Hillside Auditorium. One part of this grant is aimed at educating the public on the benefits LID infrastructure and encourage its development. To accomplish this task, a Raspberry Pi was programmed to operate in tandem with a Campbell Scientific CR1000 datalogger to collect, organize and tweet data to the public under the moniker, “Rufus the Roof.” It is believed that personifying the roof allows data to be conveyed in an entertaining manner that promotes education and public engagement in the LID design.
The Raspberry Pi was initially intended to collect data and publish tweets automatically on a live basis. However, automation was not realized due to time constraints and challenges in establishing connection to the datalogger. Instead, a system was developed that allowed the remote transfer of environmental data files from a datalogger on the green roof. Along with remote file transfer protocol, several Python scripts were written that enabled tweets to be published by the Raspberry Pi.
The design was successful. Manual remote file transfer and tweeting was achieved. Full automation remains to be achieved, but the Python scripts are built with the capability to operate automatically. The conditions are in place for future development of the project in order to achieve full autonomy. A fully automated system could open the doors for more widespread public engagement in the value and benefits of Low-Impact Development initiatives
The Publications of the American Real Estate Society: A Decade of Progress
One of ARES' initial and central objectives has been the creation and dissemination of knowledge relevant to real estate problem solvers. To achieve this objective and to make the real estate publication market more complete, ARES developed a portfolio of publications. This paper reviews the creation and evolution of The Journal of Real Estate Research, the Journal of Real Estate Literature, the Research Issues in Real Estate monograph series, and The Journal of Real Estate Portfolio Management during ARES' first ten years.
Blue Cheese Cosmology: Lensing by Cosmic Strings
The light bending effects around cosmic strings in universes with varying rates
of expansion are investigated. A relationship between the angular deflection and the
expansion rate is found. This is made possible by the Blue Cheese model, which is a
generalization to a cylindrical realm of the Swiss Cheese mode
A Rare Encounter with Very Massive Stars in NGC 3125-A1
Super star cluster A1 in the nearby starburst galaxy NGC 3125 is
characterized by broad He\ii \lam1640 emission (full width at half maximum,
km s) of unprecedented strength (equivalent width,
\AA). Previous attempts to characterize the massive star content
in NGC 3125-A1 were hampered by the low resolution of the UV spectrum and the
lack of co-spatial panchromatic data. We obtained far-UV to near-IR
spectroscopy of the two principal emitting regions in the galaxy with the Space
Telescope Imaging Spectrograph (STIS) and the Cosmic Origins Spectrograph (COS)
onboard the Hubble Space Telescope (\hst). We use these data to study three
clusters in the galaxy, A1, B1, and B2. We derive cluster ages of 3-4 Myr,
intrinsic reddenings of , 0.15, and 0.13, and cluster masses of
, , and M, respectively.
A1 and B2 show O\vb \lam1371 absorption from massive stars, which is rarely
seen in star-forming galaxies, and have Wolf-Rayet (WR) to O star ratios of
and 0.10, respectively. The high ratio of
A1 cannot be reproduced by models that use a normal IMF and generic WR star
line luminosities. We rule out that the extraordinary He\ii \lam1640 emission
and O\vb \lam1371 absorption of A1 are due to an extremely flat upper IMF
exponent, and suggest that they originate in the winds of very massive
() stars. In order to reproduce the properties of peculiar
clusters such as A1, the present grid of stellar evolution tracks implemented
in Starburst99 needs to be extended to masses .Comment: Accepted for publication in ApJ. 34 pages, 12 figure
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