Munroray2551

New experimental data for the thermal conductivity of cis-1,1,1,4,4,4-hexafluoro-2-butene (R-1336mzz(Z)) are reported for vapor, liquid and supercritical states. These data were obtained with transient hot-wire apparatus over the temperature range from 192 K to 498 K and at pressures from 0.05 MPa to 69 MPa. These data were used to develop a wide-range correlation for the thermal conductivity of the vapor, liquid, and supercritical fluid. The experimental data reported here have an uncertainty of 1 % for the liquid and supercritical regions (densities above 600 kg·m-3), 1.5 % for vapor and supercritical regions (pressures greater than or equal to 1 MPa and densities less than 200 kg·m-3), 3 % for supercritical states (densities between 200 kg·m-3 and 600 kg·m-3), and 3 % for vapor and supercritical states (pressures below 1 MPa). The thermal-conductivity correlation developed in this work is estimated to have an expanded relative uncertainty, at a 95 % confidence level, ranging from approximately 1.4 % to 4.2 % depending on the temperature and pressure, with larger uncertainties in the critical region.Many schools and school districts have put significant effort into improving school climate and the social emotional learning (SEL) of students, as they have been shown to be related to improved academic success. Yet, little is known about whether these efforts will contribute to or ameliorate racial differences in academic outcomes. In a series of structural equation models adjusting for school clustering, this study examined mediating and moderating effects of student perceptions of school climate and their own SEL on race differences in self-reported grades. Asian and Latinx students reported slightly more positive perceived school climate while Multiracial students reported significantly less positive perceived school climate compared to White students. Compared to their White peers, all racial groups reported lower levels of SEL. selleck chemical Significant but small indirect standardized effects of race on grades through social emotional competence but not school climate suggest that SEL partially mediates the relationship of race with grades. The association of SEL with grades was significantly stronger for White students compared to other racial groups; the standardized effect size of the association was nearly twice as large for White students as for Black and Native students.In response to the recent COVID-19 pandemic, each country has adopted different measures for its control, for instance, complete lockdown, smart lockdown based on hotspot analysis, and/or strict movement control on their residents. The effectiveness of such controls depends largely on public knowledge, attitude, and practices towards this novel virus. The prime objective of this study is to examine the knowledge, attitudes, and practices of university students and graduates in Pakistan regarding COVID-19. For this purpose, cross-sectional data is collected from 1789 participants through an online survey conducted between July 12 and August 10. The survey instrument consists of demographic characteristics, 13 items on knowledge, 6 items on attitudes, and 3 items on practices, modified from a previously published questionnaire on COVID-19. Our statistical analyses are based on descriptive statistics, chi-square tests, and analysis of variance (ANOVA). The overall correct response rate of the knowledge section is 73%, which is comparatively lower than similar studies in the region. The majority of participants are optimistic about the successful control of COVID-19 in Pakistan, and following the instructions issued by the government of Pakistan. However, a bulk of participants showed skepticism and no trust in the health facilities of hospitals in Pakistan, which could be the potential explanation of falling confirmed cases in Pakistan. In addition, a low knowledge score is found to be significantly associated with low confidence in successful control of COVID-19, and socially undesirable practices. The results suggest an urgent need for health education programs to hold optimistic attitudes and rebuilding of trust of the general public in health facilities in local hospitals to avoid the possible next wave of COVID-19 in Pakistan.In this paper, we present constrained spline dynamics (CSD) as a unified framework for the elastodynamic simulation of elastic rods subjected to constraints at interactive rates. The geometry of the rod and its kinematics are discretized using smooth spline functions and the rod's centerline co-ordinates as degrees of freedom (DOF). Interpolating B-spline shape functions are used to take advantage of the smooth basis and the Kronecker delta property. The formulation is developed from Hamilton's principle with bending and twisting energies represented as compliant constraints. The bend-twist coupled behavior is modeled using the concept of holonomy of curves utilizing the smooth and accurate curvature and bi-normal vector fields, eliminating rotational director frames as degrees of freedom. By enforcing uniform arc-length parametrization, high accuracy is achieved in modeling bend, twist, and bend-twist coupling. Several numerical examples are presented that demonstrate the convergence behavior, computational accuracy and efficiency of the formulation.Forecasting the outcome of outbreaks as early and as accurately as possible is crucial for decision making and policy implementations. A significant challenge faced by forecasters is that not all outbreaks and epidemics turn into pandemics making the prediction of their severity difficult. At the same time, the decisions made to enforce lockdowns and other mitigating interventions versus their socioeconomic consequences are not only hard to make, but also highly uncertain. The majority of modeling approaches to outbreaks, epidemics, and pandemics take an epidemiological approach that considers biological and disease processes. In this paper, we accept the limitations of forecasting to predict the long-term trajectory of an outbreak, and instead, we propose a statistical, time-series approach to modelling and predicting the short-term behaviour of COVID-19. Our model assumes a multiplicative trend, aiming to capture the continuation of the two variables we predict (global confirmed cases and deaths) as well as their uncertainty. We present the timeline of producing and evaluating 10-day-ahead forecasts over a period of four months. Our simple model offers competitive forecast accuracy and estimates of uncertainty that are useful and practically relevant.We investigate influences of fatalistic beliefs on domestic and international migration in Nepal, positing that fatalistic beliefs may affect decisions to migrate and where to locate. Fatalism is the belief that human outcomes are preordained by forces outside of one's power and control. Because of its relationship with effort and innovation, fatalism may be an important factor in people's decision to migrate and destination choice. We expect that fatalistic beliefs encourage or discourage migration depending upon societal expectations to migrate and the relative ease of migration to different destinations. Our empirical analysis relies on migration histories of respondents from the Chitwan Valley Family Study. Results from multinomial logistic regression models provide evidence that fatalistic beliefs increase overall migration propensity and has both positive and negative destination-specific effects. Fatalistic beliefs increase Nepalis' odds of migrating to destinations that are, relatively speaking, easier to access, but decrease the odds of migrating to destinations with higher barriers to entry.This article is concerned with normative conceptions of health structuring tobacco control strategies designed to "denormalize" tobacco use. Analysis of 201 interviews with non-heterosexual and/or non-cisgender adults in California revealed that participants implicated tobacco use in exacerbating health inequities and perpetuating harmful narratives of queer suffering, but also regarded smoking as a critical tool for self-care and symbol of resistance. Participant narratives suggest that using stigma in health promotion efforts which reinforce normative conceptions of health may be harmful to queer people whose social identities exist within ongoing legacies of pathology, health stigma, and deviance from hegemonic structural norms.In contrast to the classical "one size fits all" approach, precision medicine proposes the customization of individualized treatment regimes to account for patients' heterogeneity in response to treatments. Most of existing works in the literature focused on estimating optimal individualized treatment regimes. However, there has been less attention devoted to hypothesis testing regarding the existence of overall qualitative treatment effects, especially when there is a large number of prognostic covariates. When covariates don't have qualitative treatment effects, the optimal treatment regime will assign the same treatment to all patients regardless of their covariate values. In this paper, we consider testing the overall qualitative treatment effects of patients' prognostic covariates in a high dimensional setting. We propose a sample splitting method to construct the test statistic, based on a nonparametric estimator of the contrast function. When the dimension of covariates is large, we construct the test based on sparse random projections of covariates into a low-dimensional space. We prove the consistency of our test statistic. In the regular cases, we show the asymptotic power function of our test statistic is asymptotically the same as the "oracle" test statistic which is constructed based on the "optimal" projection matrix. Simulation studies and real data applications validate our theoretical findings.A typical approach to the joint analysis of two high-dimensional datasets is to decompose each data matrix into three parts a low-rank common matrix that captures the shared information across datasets, a low-rank distinctive matrix that characterizes the individual information within a single dataset, and an additive noise matrix. Existing decomposition methods often focus on the orthogonality between the common and distinctive matrices, but inadequately consider the more necessary orthogonal relationship between the two distinctive matrices. The latter guarantees that no more shared information is extractable from the distinctive matrices. We propose decomposition-based canonical correlation analysis (D-CCA), a novel decomposition method that defines the common and distinctive matrices from the L 2 space of random variables rather than the conventionally used Euclidean space, with a careful construction of the orthogonal relationship between distinctive matrices. D-CCA represents a natural generalization of the traditional canonical correlation analysis. The proposed estimators of common and distinctive matrices are shown to be consistent and have reasonably better performance than some state-of-the-art methods in both simulated data and the real data analysis of breast cancer data obtained from The Cancer Genome Atlas.The public health measures implemented to limit the COVID-19 pandemic are likely to affect economic inequalities. In this paper we first provide a theoretical framework to analyse how income inequality contributes shaping the trade-off between economic lockdown and contagion. Our empirical analysis on EU countries shows that the lockdown is likely to significantly increase inequality and poverty and that the magnitude of the change is larger in more unequal countries. To avoid social collapse, countries must consider inequality as an additional source of fragility, while supranational, coordinated health and fiscal policies are needed in the interest of all European economies.