1,599 research outputs found

    Standard model explanation of a CDF dijet excess in Wjj

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    We demonstrate the recent observation of a peak in the dijet invariant mass of the Wjj signal observed by the CDF Collaboration can be explained as the same upward fluctuation observed by CDF in single-top-quark production. In general, both t-channel and s-channel single-top-quark production produce kinematically induced peaks in the dijet spectrum. Since CDF used a Monte Carlo simulation to subtract the single-top backgrounds instead of data, a peak in the dijet spectrum is expected. The D0 Collaboration has a small upward fluctuation in their published t-channel data; and hence we predict they would see at most a small peak in the dijet invariant mass spectrum of Wjj if they follow the same procedure as CDF.Comment: 3 pg., 2 figs, revtex, minor clarifications, to appear in Phys. Rev.

    Development of a severe local storm prediction system: A 60-day test of a mesoscale primitive equation model

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    The progress and problems associated with the dynamical forecast system which was developed to predict severe storms are examined. The meteorological problem of severe convective storm forecasting is reviewed. The cascade hypothesis which forms the theoretical core of the nested grid dynamical numerical modelling system is described. The dynamical and numerical structure of the model used during the 1978 test period is presented and a preliminary description of a proposed multigrid system for future experiments and tests is provided. Six cases from the spring of 1978 are discussed to illustrate the model's performance and its problems. Potential solutions to the problems are examined

    Rash morphology as a predictor of COVID-19 severity:A systematic review of the cutaneous manifestations of COVID-19

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    Approximately 6% of those with COVIDā€19 will experience cutaneous manifestations. Examining data from this cohort could provide useful information to help with the management of COVIDā€19. To that end, we conducted a systematic review primarily to assess rash morphologies associated with COVIDā€19 and their relationship with disease severity. Secondary outcomes include demographics, distribution, dermatological symptoms, timeline, diagnostic method and medication history. The literature was searched for all patients with skin manifestations thought to be related to suspected or confirmed COVIDā€19. Patients with a history of dermatological, rheumatological or occupational skin disorders were excluded. Of the 2056 patients selected, the most common morphologies were chilblainā€like lesions (54.2%), maculopapular (13.6%) and urticaria (8.3%). Chilblainā€like lesions were more frequent in the younger population (mean age 21.5, standard deviation Ā± 10.8) and were strongly linked with milder disease, not requiring an admission (odds ratio [OR] 35.36 [95% confidence interval {CI} 23.58, 53.03]). Conversely, acroā€ischaemia and livedo reticularis were associated with worse outcomes, including a need for ICU (OR 34.01 [95% CI 16.62, 69.57] and OR 5.57 [95% CI 3.02, 10.30], respectively) and mortality (OR 25.66 [95% CI 10.83, 60.79] and OR 10.71 [95% CI 4.76, 24.13], respectively). Acral lesions were the most common site (83.5%). 35.1% experienced pruritus, 16.4% had pain and 4.7% reported a burning sensation. 34.1% had asymptomatic lesions. Rash was the only symptom in 20.9% and occurred before or alongside systemic symptoms in 12.4%. 28.3% had a positive polymerase chain reaction nasopharyngeal swab and 5.4% had positive antibodies, while 21.9% tested negative and 45.1% were not tested. In conclusion, COVIDā€19 causes a variety of rashes, which may cause symptoms and add to morbidity. Rash type could be helpful in determining COVIDā€19 prognosis

    From principles to action: Applying the National Research Council's principles for effective decision support to the Federal Emergency Management Agency's watch office

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    AbstractThe National Research Council (NRC) proposed six principles for effective decision support in its 2009 report Informing Decisions in a Changing Climate. We structured a collaborative project between the Federal Emergency Management Agency Region R9 (FEMA R9), the Western Region Headquarters of the National Weather Service (WR-NWS), and the Climate Assessment of the Southwest (CLIMAS) at the University of Arizona around the application of the NRC principles. The goal of the project was to provide FEMA R9's Watch Office with climate information scaled to their temporal and spatial interests to aid them in assessing the potential risk of flood disasters. We found that we needed specific strategies and activities in order to apply the principles effectively. By using a set of established collaborative research approaches we were better able to assess FEMA R9's information needs and WR-NWS's capacity to meet those needs. Despite our diligent planning of engagement strategies, we still encountered some barriers to transitioning our decision support tool from research to operations. This paper describes our methods for planning and executing a three-party collaborative effort to provide climate services, the decision support tool developed through this process, and the lessons we will take from this deliberate collaborative process to our future work and implications of the NRC principles for the broader field of climate services

    Persistent Diaper Need Identified During the COVID-19 Pandemic

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    Diaper need refers to the lack of a sufficient supply of diapers to keep an infant or child clean, dry, and healthy. More than 1 in 3 households (36%) experienced diaper need in the first year of the COVID-19 pandemic

    Sad, blue, or depressed days, health behaviors and health-related quality of life, Behavioral Risk Factor Surveillance System, 1995ā€“2000

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    BACKGROUND: Mood disorders are a major public health problem in the United States as well as globally. Less information exists however, about the health burden resulting from subsyndromal levels of depressive symptomatology, such as feeling sad, blue or depressed, among the general U.S. population. METHODS: As part of an optional Quality of Life survey module added to the U.S. Behavioral Risk Factor Surveillance System, between 1995ā€“2000 a total of 166,564 BRFSS respondents answered the question, "During the past 30 days, for about how many days have you felt sad, blue, or depressed?" Means and 95% confidence intervals for sad, blue, depressed days (SBDD) and other health-related quality of life (HRQOL) measures were calculated using SUDAAN to account for the BRFSS's complex sample survey design. RESULTS: Respondents reported a mean of 3.0 (95% CI = 2.9ā€“3.1) SBDD in the previous 30 days. Women (M = 3.5, 95% CI = 3.4ā€“3.6) reported a higher number of SBDD than did men (M = 2.4, 95% CI = 2.2ā€“2.5). Young adults aged 18ā€“24 years reported the highest number of SBDD, whereas older adults aged 60ā€“84 reported the fewest number. The gap in mean SBDD between men and women decreased with increasing age. SBDD was associated with an increased prevalence of behaviors risky to health, extremes of body mass index, less access to health care, and worse self-rated health status. Mean SBDD increased with progressively higher levels of physically unhealthy days, mentally unhealthy days, unhealthy days, activity limitation days, anxiety days, pain days, and sleepless days. CONCLUSION: Use of this measure of sad, blue or depressed days along with other valid mental health measures and community indicators can help to assess the burden of mental distress among the U.S. population, identify subgroups with unmet mental health needs, inform the development of targeted interventions, and monitor changes in population levels of mental distress over time

    Comparison of College Student Hypertension Prevalence between the JNC7 and ACC/AHA Diagnostic Criteria

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    International Journal of Exercise Science 12(3): 898-903, 2019. Hypertension is highly prevalent and associated with non-communicable diseases and increased premature mortality risk. However, the impact of the new hypertension diagnostic criteria on the prevalence of hypertension diagnoses has yet to be examined among college students. The purpose of this study was to compare the prevalence of hypertension between the JNC7 and the ACC/AHA hypertension diagnostic criteria among college students. The blood pressure of 5,945 college students was assessed, and chi-square tests for independence examined differences between JNC7 and ACC/AHA criteria. The mean age of participants was 21.30 Ā± 1.05 years, and the majority identified as men (60.5%). Men were found to have significantly higher systolic (p \u3c .001, Ī·2 = .10) and diastolic (p \u3c .001, Ī·2 = .04) blood pressure, so all analyses were separated by sex. Hypertension guideline changes resulted in significant changes in hypertension categorization of both men, Ļ‡2 = 7,178, p \u3c .001, Š¤c = .816 and women, Ļ‡2 = 4,670, p \u3c .001, Š¤c = .816. Under the JNC7 guidelines, 292 (8.2%) men and 67 (2.8%) women were hypertensive. Using the ACC/AHA guidelines, 1455 (40.5%) men and 521 (22.3%) women were hypertensive. Hypertension guideline changes resulted in a significant increase in the prevalence of hypertension among college students, highlighting the potential demand for targeted prevention programs focused on fostering healthy lifestyle behaviors, i.e. physical activity and healthy eating, among students

    Enterprise Resource Planning Research: Where Are We Now and Where Should We Go From Here?

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    The research related to Enterprise Resource Planning (ERP) has grown over the past several years. This growing body of ERP research results in an increased need to review this extant literature with the intent of identifying gaps and thus motivate researchers to close this breach. Therefore, this research was intended to critique, synthesize and analyze both the content (e.g., topics, focus) and processes (i.e., methods) of the ERP literature, and then enumerates and discusses an agenda for future research efforts. To accomplish this, we analyzed 49 ERP articles published (1999-2004) in top Information Systems (IS) and Operations Management (OM) journals. We found an increasing level of activity during the 5-year period and a slightly biased distribution of ERP articles targeted at IS journals compared to OM. We also found several research methods either underrepresented or absent from the pool of ERP research. We identified several areas of need within the ERP literature, none more prevalent than the need to analyze ERP within the context of the supply chain
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