A collection of lower thermospheric /100 to 300 km altitude/ chemical composition, temperature, and mass density data

Tabulated lower thermospheric chemical composition, temperature, and mass density dat

Validation of the post sleep questionnaire for assessing subjects with restless legs syndrome: results from two double-blind, multicenter, placebo-controlled clinical trials

<p>Abstract</p> <p>Background</p> <p>Because of the subjective nature of Restless Legs Syndrome (RLS) symptoms and the impact of these symptoms on sleep, patient-reported outcomes (PROs) play a prominent role as study endpoints in clinical trials investigating RLS treatments. The objective of this study was to validate a new measure, the Post Sleep Questionnaire (PSQ), to assess sleep dysfunction in subjects with moderate-to-severe RLS symptoms.</p> <p>Methods</p> <p>Pooled data were analyzed from two 12-week, randomized, placebo-controlled trials of gabapentin enacarbil (N = 540). At baseline and Week 12, subjects completed the PSQ and other validated health surveys: IRLS Rating Scale, Clinical Global Impression of Improvement (CGI-I), Profile of Mood States (POMS), Medical Outcomes Study Scale-Sleep (MOS-Sleep), and RLS-Quality of Life (RLSQoL). Pooled data were used <it>post hoc </it>to examine the convergent, divergent, known-group validity and the responsiveness of the PSQ.</p> <p>Results</p> <p>Convergent validity was demonstrated by significant correlations between baseline PSQ items and total scores of IRLS, POMS, RLSQoL, and the MOS-Sleep Scale (p ≤ 0.007 each). Divergent validity was demonstrated through the lack of significant correlations between PSQ items and demographic characteristics. Correlations (p < 0.0001) between RLS severity groups and PSQ items demonstrated known-group validity. Mean changes in investigator- and subject-rated CGI-I scores for each PSQ item (p < 0.0001) demonstrated the PSQ's responsiveness to patient change as reported by their care provider.</p> <p>Conclusions</p> <p>Although these analyses were potentially limited by the use of clinical trial data and not prospective data from a study conducted solely for validation purposes, the PSQ demonstrated robust psychometric properties and is a valid instrument for assessing sleep and sleep improvements in subjects with moderate-to-severe RLS symptoms.</p> <p>Trial Registration</p> <p>This study analyzed data from two registered trials, <a href="http://www.clinicaltrials.gov/ct2/show/NCT00298623">NCT00298623</a> and <a href="http://www.clinicaltrials.gov/ct2/show/NCT00365352">NCT00365352</a>.</p

Team 2: Situation Awareness of an Infantry Unit in a Chemical Environment

from Scythe : Proceedings and Bulletin of the International Data Farming Community, Issue 2 Workshop 14The German Federal Office of Defense Technology and Procurement has been analyzing the influence of networked sensors and effectors on military capabilities. The background of our overall scenario is peace support operations (PSO) in an urban environment. The background for the actual technical evaluations of sensors, effectors and the connecting network is the following scenario vignette: Convoy Protection

Relationship Between Food Security, Nutrition Security, and Diabetes: the Role of Supplemental Nutrition assistance Program Participation

BACKGROUND: Inadequate nutrition and poor diet quality are associated with a heightened risk of diabetes. The connection between food insecurity measures and diabetes has been established, with evidence indicating that Supplemental Nutrition Assistance Program (SNAP) participation contributes to reductions in food insecurity. Recently developed nutrition security measures, defined as the ability to acquire healthful foods to prevent diseases, and their association with diabetes and SNAP participation are not yet understood. OBJECTIVES: This study aimed to assess the relationship between food security and nutrition security in relation to diabetes overall and by SNAP participation and nutrition security as potential modifiers. METHODS: Secondary data analysis of cross-sectional pilot study data collected from adults in 5 US states (N = 517). Logistic regression mixed models included moderation analysis and clustering effects by state to address site-level confounding. RESULTS: Higher nutrition security scores among adults, after adjusting for confounders, were significantly associated with lower odds of diabetes risk (adjusted odds ratio = 0.59; 95% confidence interval: 0.40, 0.87; CONCLUSIONS: This study sheds light on the early exploration of the intricate relationship between nutrition security and diabetes. The findings suggest that a higher nutrition security score, after adjusting for confounders, was significantly associated with lower odds of diabetes risk. Notably, there were statistically significant interaction effects in these associations based on SNAP participation

Food Security, Hunger-coping, and Hunger-Symptoms, and Their Relationship With Daily Fruit and Vegetable Intake Frequency in a Low-income Sample

Purpose To examine daily fruit and vegetable (FV) intake frequency by household food security status (high food security, marginal food security, low food security, and very low food security), and scores on three hunger-coping behavior scales (i.e., “rationing food supplies”, “financial strategies”, and “trade-off strategies”), and one physiological hunger symptoms scale among a very low-income population in the Midwestern United States. Methods Adult participants (aged 19 and older and caregivers to at least one child aged 0-18) were recruited from public libraries, food pantries, and other community locations to participate in a cross-sectional self-administered survey (n = 306). The primary outcome variable was daily FV intake frequency, measured from five items from the 16-item NYPANS dietary screener (fruit, green salad, carrots, other vegetables, and non-fried potatoes). These items were converted into daily frequencies and then summed. Daily FV intake frequency was also log transformed to meet statistical model assumptions. The main independent variables in this study were household food security (measured using the 6-item USDA Household Food Security Survey Module), scores on three 5-item hunger-coping behavior scales (max scores = 5), and one 5-item physiological hunger symptoms scale (max scores = 5). Potential sociodemographic and household characteristics (e.g., sex, age, race/ethnicity, education, income, marital status, food assistance, income assistance, food pantry use, household child to adult ratio, and automobile access) were assessed as potential covariates. Generalized linear models were used to assess the relationship between independent variables and daily FV intake frequency. Results 278 participants provided complete data for the outcome variable and were included in the sample. The sample was 73% female, 45% African American, 14% Hispanic, and 28% Caucasian. A majority of participants (60%) reported annual household incomes under $15,000. A high proportion of participants (42%) had very lowfood security, as compared to the national average of 6%. Participants reported consuming FV 2.40 times per day (SD=1.76) on average. Compared the high food secure group (In adjusted models), being in the “very low” food security group was associated with a 26% decrease, on average, in daily FV intake frequency (exp(β)=0.74, 95%CI=0.61-0.88, p Conclusions Compared to the high food secure group, those in the “very low” food secure group reported a significantly lower mean daily FV intake frequency, but not those in the “low” food secure group. This emphasizes the need to examine the “low” and “very low” food secure groups separately when studying factors associated with diet. Engaging in hunger-coping behaviors and experiencing physiological hunger symptoms was associated with decreased daily FV intake frequency. It is not clear if the hunger coping-behaviors themselves directly lead to decreased daily FV intake frequency, or if they were a marker for food insecurity and associated economic distress. These constructs and relationships should be examined in future studies. Programs and policies, which seek to promote fruit and vegetable intake among low-income populations, should target the “very low” food secure as the most at-risk for low intake. Also, researchers and community organizations working with food insecure groups could potentially measure hunger-coping behaviors and hunger symptoms in a complementary fashion to traditional measures of food insecurity to gain more contextual information about the experiences of this population

Monthly SNAP benefit duration and its association with food security, hunger-coping, and physiological hunger symptoms among low-income families

Purpose The purpose of this study was to examine relationships between monthly Supplemental Nutrition Assistance Program (SNAP) benefit duration (i.e., the number of weeks each month a participants’ SNAP benefits provide food), and five primary outcome variables: food security, three hunger-coping behavior scales (rationing food supplies, financial strategies, making trade-offs), and physiological hunger symptoms, among a sample of families with children 0-18 years currently receiving SNAP benefits. Methods Baseline survey data were collected as part of a community-based intervention to alleviate child hunger. Participants included in the analytic sample were current SNAP recipients, parents (or caregivers), and 19 years of age and older (n=161). The survey assessed sociodemographics, household characteristics, food and financial assistance use, food security, three hunger-coping behavior scales, diet intake frequency, and one physiological hunger symptoms scale. The three hunger-coping scales and the physiological hunger scale were dichotomized into a “high” group (if above the sample median score) and a “low” group (if at or below the sample median score). Sociodemographic and family characteristics were included as covariates. Logistic regression models were used to assess relationships between monthly SNAP benefit duration and the five primary outcome variables in this study. Results Respondents were predominately mothers/female caregivers (78%), a majority reported annual family incomes below $10,000 (58%), and 80% were experiencing “low” or “very low” food security. The sample was 43% non-Hispanic black, 30% non-Hispanic white, 10% Hispanic/Latino, 17% American Indian or other racial/ethnic groups. Monthly SNAP benefit duration (M=2.8, SD=1.0) was not likely driven by allotment amount, because households’ percent of the federal poverty line (a proxy measure for allotment amount) was not associated with the number of weeks each month that benefits lasted (p=0.36). After controlling for relevant sociodemographic variables and household characteristics, the more weeks each month participants reported their SNAP benefits lasting, the lower their odds of experiencing “low” or “very low” food security (OR=0.444, 95%CI=0.259-0.761; p Conclusions These findings suggest that monthly SNAP benefit duration may be useful as a proxy for SNAP allotment adequacy in the context of food security and hunger. Families that were not able to make monthly benefits extend as long as other families were more likely to be food insecure and experience “high” levels of physiological hunger symptoms. While associations with hunger-coping behaviors were only significant in univariate analysis, they were in the direction expected and should be further examined in future studies as these behaviors may be exacerbate, buffer, or be symptoms of the experience of food insecurity and hunger among low-income families. Policies are needed to better tailor SNAP benefit allotments to the needs of disadvantaged families, and research and programming is needed to investigate ways these families can better utilize their current allotments as a potential path to address food insecurity and hunger

Observation of Target Electron Momentum Effects in Single-Arm M\o ller Polarimetry

In 1992, L.G. Levchuk noted that the asymmetries measured in M\o ller scattering polarimeters could be significantly affected by the intrinsic momenta of the target electrons. This effect is largest in devices with very small acceptance or very high resolution in laboratory scattering angle. We use a high resolution polarimeter in the linac of the polarized SLAC Linear Collider to study this effect. We observe that the inclusion of the effect alters the measured beam polarization by -14% of itself and produces a result that is consistent with measurements from a Compton polarimeter. Additionally, the inclusion of the effect is necessary to correctly simulate the observed shape of the two-body elastic scattering peak.Comment: 29 pages, uuencoded gzip-compressed postscript (351 kb). Uncompressed postscript file (898 kb) available to DECNET users as SLC::USER_DISK_SLC1:[MORRIS]levpre.p

Analysis of the DWPF glass pouring system using neural networks

Neural networks were used to determine the sensitivity of 39 selected Melter/Melter Off Gas and Melter Feed System process parameters as related to the Defense Waste Processing Facility (DWPF) Melter Pour Spout Pressure during the overall analysis and resolution of the DWPF glass production and pouring issues. Two different commercial neural network software packages were used for this analysis. Models were developed and used to determine the critical parameters which accurately describe the DWPF Pour Spout Pressure. The model created using a low-end software package has a root mean square error of {+-} 0.35 inwc (< 2% of the instrument`s measured range, R{sup 2} = 0.77) with respect to the plant data used to validate and test the model. The model created using a high-end software package has a R{sub 2} = 0.97 with respect to the plant data used to validate and test the model. The models developed for this application identified the key process parameters which contribute to the control of the DWPF Melter Pour Spout pressure during glass pouring operations. The relative contribution and ranking of the selected parameters was determined using the modeling software. Neural network computing software was determined to be a cost-effective software tool for process engineers performing troubleshooting and system performance monitoring activities. In remote high-level waste processing environments, neural network software is especially useful as a replacement for sensors which have failed and are costly to replace. The software can be used to accurately model critical remotely installed plant instrumentation. When the instrumentation fails, the software can be used to provide a soft sensor to replace the actual sensor, thereby decreasing the overall operating cost. Additionally, neural network software tools require very little training and are especially useful in mining or selecting critical variables from the vast amounts of data collected from process computers

Compromised Fertility In Free Feeding Of Wildcaught Norway Rats (\u3ci\u3eRattus norvegicus\u3c/i\u3e) With A Liquid Bait Containing 4-Vinylcyclohexene Diepoxide And Triptolide

Wild rat pests in the environment cause crop and property damage and carry disease. Traditional methods of reducing populations of these pests involve poisons that can cause accidental exposures in other animals and humans. Fertility management with nonlethal chemicals would be an improved method of rat pest population control. Two chemicals known to target ovarian function in female rats are 4-vinylcyclohexene diepoxide (VCD) and triptolide. Additionally, triptolide impairs spermatogenesis in males. A liquid bait containing no active ingredients (control), or containing triptolide (0.001%) and VCD (0.109%; active) was prepared to investigate the potential use of these agents for wild rat pest population control. Liquid bait was made available to male (n = 8 control; n = 8 active) and female (n = 8 control; n = 8 active) Sprague Dawley rats (Rattus norvegicus) for oral consumption prior to breeding. Whereas, control bait-treated females produced normal-sized litters (10.0 ± 1.7 pups/litter), treated females delivered no pups. Wild Norway male (n = 20) and female (n = 20) rats (Rattus norvegicus) were trapped, individually housed, and one group given free access to control bait, one group to active bait. Following three cycles of treatment-matched mating pairs, females consuming control bait (control) produced normal litter sizes (9.73 ± 0.73 pups/litter). Females who had consumed active bait (treated) produced no litters on breeding cycles one and two; however, 2 of 10 females produced small litters on the third mating cycle. In a fourth breeding cycle, control females were crossmated with treated males, and treated females were crossmated with control males. In both groups, some dams produced litters, while others did not. The differences in response reflect a heterogeneity in return to cyclicity between females. These results suggest a potential approach to integrated pest management by compromising fertility, and could provide a novel alternative to traditional poisons for reducing populations of wild rat pests