2,573 research outputs found
Modeling the coma of 2060 Chiron
Observations of comet-like activity and a resolved coma have established that 2060 Chiron is a comet. Determinations of its radius range from 65 to 200 km. This unusually large size for a comet suggests that the atmosphere of Chiron is intermediate to the tightly bound, thin atmospheres typical of planets and satellite and the greatly extended atmospheres in free expansion typical of cometary comae. Under certain conditions it may gravitationally bind an atmosphere that is thick compared to its size, while a significant amount of gas escapes to an extensive exosphere. These attributes coupled with reports of sporadic outbursts at large heliocentric distances and the identification of CN in the coma make Chiron a challenging object to model. Simple models of gas production and the dusty coma were recently presented but a general concensus on many basic features has not emerged. Development was begun on a more complete coma model of Chiron. The objectives are to report progress on this model and give the preliminary results for understanding Chiron
A preliminary model of the coma of 2060 Chiron
We have included gravity in our fluid dynamic model with chemical kinetics of dusty comet comae and applied it with two dust sizes to 2060 Chiron. A progress report on the model and preliminary results concerning gas/dust dynamics and chemistry is given
Classification and Quantification of Phenotypic Characteristics of Normal and Dysplastic Oral Cells
Introduction Oral cancer accounts for 2.5% of all cancer cases in the United States. The 5 year survival rate or stage 1 or localized oral cancer is 82%, and the survival rate of unstaged oral cancer is only 50%; therefore, early diagnosis is key. Current clinical practices for determining malignancy of tissue include physical examination and surgical biopsy, which can be plagued by high variability between observers and are invasive for the patient. Proflavine intercalates between base pairs of nucleic acids and has excitation and emission peaks at 455 (+/- 20) nm and 515 nm respectively; therefore, it can be used as a fluorophore to highlight cell structures in vitro. Methods Four cell lines, SCC-25, CAL-27, FaDu, and NCI cancer cells, were cultured in media, stained, and then imaged with a fluorescent microscope. Images were then analyzed to determine the phenotypic differences that existed between the cell types. Normal oral epithelial cells were also recovered and given the same treatment and analysis to provide a control group for comparison. Results The average brightness and size of the nucleus and cytoplasm was determined for each of the four cell types. Average entropy of each cell line was also determined. Discussion These results showed a significant difference in phenotypic characteristics between normal and cancerous cell lines. Using this information, we can begin to construct an algorithm that can be used to classify cells as normal or abnormal in automated and semi-automated screening tests
An S2 Fluorescence Model for Interpreting High-Resolution Cometary Spectra. I. Model Description and Initial Results
A new versatile model providing S2 fluorescence spectrum as a function of
time is developed with the aim of interpreting high resolution cometary
spectra. For the S2 molecule, it is important to take into account both
chemical and dynamic processes because S2 has a short lifetime and is confined
in the inner coma where these processes are most important. The combination of
the fluorescence model with a global coma model allows for the comparison with
observations of column densities taken through an aperture and for the analysis
of S2 fluorescence in different parts of the coma. Moreover, the model includes
the rotational structure of the molecule. Such a model is needed for
interpreting recent high spectral resolution observations of cometary S2. A
systematic study of the vibrational-rotational spectrum of S2 is undertaken,
including relevant effects, such as non-equilibrium state superposition and the
number density profile within the coma due to dynamics and chemistry, to
investigate the importance of the above effects on the scale length and
abundance of S2 in comets.Comment: 20 pages, 7 figure
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On the Solar EUV Deposition in the Inner Comae of Comets with Large Gas Production Rates
In this letter we have made a comparative study of degradation of solar EUV
radiation and EUV-generated photoelectrons in the inner comae of comets having
different gas production rates, Q, with values 1x10^28, 7x10^29, 1x10^31, and
1x10^32 s^-1. We found that in higher-Q comets the radial profile of H2O+
photo-production rate depicts a double-peak structure and that the differences
in sunward and anti-sunward photoionization rates are pronounced. We show that
photoelectron impact ionization is an order of magnitude larger than
photoionization rate near the lower photoionization peak in comets with Q >~
1x10^31 s^-1. The present study reveals the importance of photoelectrons
relative to solar EUV as the ionization source in the inner coma of high-Q
comets
Model for Cameron band emission in comets: A case for EPOXI mission target comet 103P/Hartley 2
The CO2 production rate has been derived in comets using the Cameron band
(a3Pi - X1Sigma) emission of CO molecule assuming that photodissociative
excitation of CO2 is the main production mechanism of CO in a3Pi metastable
state. We have devoloped a model for the production and loss of CO(a3Pi) which
has been applied to comet 103P/Hartley 2: the target of EPOXI mission. Our
model calculations show that photoelectron impact excitation of CO and
dissociative excitation of CO2 can together contribute about 60-90% to the
Cameron band emission. The modeled brightness of (0-0) Cameron band emission on
comet Hartley 2 is consistent with Hubble Space Telescope observations for 3-5%
CO2 (depending on model input solar flux) and 0.5% CO relative to water, where
photoelectron impact contribution is about 50-75%. We suggest that estimation
of CO2 abundances on comets using Cameron band emission may be reconsidered. We
predict the height integrated column brightness of Cameron band of ~1300 R
during EPOXI mission encounter period.Comment: 3 figure
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Relationship Between Sleep and Behavior in Autism Spectrum Disorder: Exploring the Impact of Sleep Variability.
Objective:The relationship between sleep (caregiver-reported and actigraphy-measured) and other caregiver-reported behaviors in children and adults with autism spectrum disorder (ASD) was examined, including the use of machine learning to identify sleep variables important in predicting anxiety in ASD. Methods:Caregivers of ASD (n = 144) and typically developing (TD) (n = 41) participants reported on sleep and other behaviors. ASD participants wore an actigraphy device at nighttime during an 8 or 10-week non-interventional study. Mean and variability of actigraphy measures for ASD participants in the week preceding midpoint and endpoint were calculated and compared with caregiver-reported and clinician-reported symptoms using a mixed effects model. An elastic-net model was developed to examine which sleep measures may drive prediction of anxiety. Results:Prevalence of caregiver-reported sleep difficulties in ASD was approximately 70% and correlated significantly (p < 0.05) with sleep efficiency measured by actigraphy. Mean and variability of actigraphy measures like sleep efficiency and number of awakenings were related significantly (p < 0.05) to ASD symptom severity, hyperactivity and anxiety. In the elastic net model, caregiver-reported sleep, and variability of sleep efficiency and awakenings were amongst the important predictors of anxiety. Conclusion:Caregivers report problems with sleep in the majority of children and adults with ASD. Reported problems and actigraphy measures of sleep, particularly variability, are related to parent reported behaviors. Measuring variability in sleep may prove useful in understanding the relationship between sleep problems and behavior in individuals with ASD. These findings may have implications for both intervention and monitoring outcomes in ASD
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