Comparison of interference-free numerical results with sample experimental data for the AEDC wall-interference model at transonic and subsonic flow conditions

Numerical results obtained from two computer programs recently developed with NASA support and now available for use by others are compared with some sample experimental data taken on a rectangular-wing configuration in the AEDC 16-Foot Transonic Tunnel at transonic and subsonic flow conditions. This data was used in an AEDC investigation as reference data to deduce the tunnel-wall interference effects for corresponding data taken in a smaller tunnel. The comparisons were originally intended to see how well a current state-of-the-art transonic flow calculation for a simple 3-D wing agreed with data which was felt by experimentalists to be relatively interference-free. As a result of the discrepancies between the experimental data and computational results at the quoted angle of attack, it was then deduced from an approximate stress analysis that the sting had deflected appreciably. Thus, the comparisons themselves are not so meaningful, since the calculations must be repeated at the proper angle of attack. Of more importance, however, is a demonstration of the utility of currently available computational tools in the analysis and correlation of transonic experimental data

Time to Raise the Bar: The Real Corporate Social Responsibility Report for the Hershey Company

This document is part of a digital collection provided by the Martin P. Catherwood Library, ILR School, Cornell University, pertaining to the effects of globalization on the workplace worldwide. Special emphasis is placed on labor rights, working conditions, labor market changes, and union organizing.ILRF_Time_to_Raise_the_Bar_Hershey.pdf: 2396 downloads, before Oct. 1, 2020

Second look at the spread of epidemics on networks

In an important paper, M.E.J. Newman claimed that a general network-based stochastic Susceptible-Infectious-Removed (SIR) epidemic model is isomorphic to a bond percolation model, where the bonds are the edges of the contact network and the bond occupation probability is equal to the marginal probability of transmission from an infected node to a susceptible neighbor. In this paper, we show that this isomorphism is incorrect and define a semi-directed random network we call the epidemic percolation network that is exactly isomorphic to the SIR epidemic model in any finite population. In the limit of a large population, (i) the distribution of (self-limited) outbreak sizes is identical to the size distribution of (small) out-components, (ii) the epidemic threshold corresponds to the phase transition where a giant strongly-connected component appears, (iii) the probability of a large epidemic is equal to the probability that an initial infection occurs in the giant in-component, and (iv) the relative final size of an epidemic is equal to the proportion of the network contained in the giant out-component. For the SIR model considered by Newman, we show that the epidemic percolation network predicts the same mean outbreak size below the epidemic threshold, the same epidemic threshold, and the same final size of an epidemic as the bond percolation model. However, the bond percolation model fails to predict the correct outbreak size distribution and probability of an epidemic when there is a nondegenerate infectious period distribution. We confirm our findings by comparing predictions from percolation networks and bond percolation models to the results of simulations. In an appendix, we show that an isomorphism to an epidemic percolation network can be defined for any time-homogeneous stochastic SIR model.Comment: 29 pages, 5 figure

The main transition in the Pink membrane model: finite-size scaling and the influence of surface roughness

We consider the main transition in single-component membranes using computer simulations of the Pink model [D. Pink {\it et al.}, Biochemistry {\bf 19}, 349 (1980)]. We first show that the accepted parameters of the Pink model yield a main transition temperature that is systematically below experimental values. This resolves an issue that was first pointed out by Corvera and co-workers [Phys. Rev. E {\bf 47}, 696 (1993)]. In order to yield the correct transition temperature, the strength of the van der Waals coupling in the Pink model must be increased; by using finite-size scaling, a set of optimal values is proposed. We also provide finite-size scaling evidence that the Pink model belongs to the universality class of the two-dimensional Ising model. This finding holds irrespective of the number of conformational states. Finally, we address the main transition in the presence of quenched disorder, which may arise in situations where the membrane is deposited on a rough support. In this case, we observe a stable multi-domain structure of gel and fluid domains, and the absence of a sharp transition in the thermodynamic limit.Comment: submitted to PR

An Empirical Validation of Guskey\u27s Professional Development Evaluation Model Using Six Years of Student and Teacher Level Reading Data

In this era of high-stakes testing and tight funding there is unprecedented interest in and a requirement for accountability in the field of education. Virtually all funded projects are required to have an evaluation component designed to determine if project goals have been met. Positive outcomes are often the basis for continued funding and implementation. School systems also depend heavily on well-designed evaluations to assess the quality and impact of the professional development they offer to bring about change in teacher practice, in their effort to implement reform, and to demonstrate accountability to their stakeholders. The need to provide and assess professional development to improve teaching practices has generated numerous evaluation models that are widely used but have not been empirically tested. Since important program decisions are based on the results of these assessments, there is a great need to ensure the efficacy of these evaluation models to appropriately assess the programs they are intended to evaluate. Therefore, the purpose of this research was to empirically test the theory underlying Guskey\u27s Model for evaluating professional development, which is widely used by school systems engaging in program assessment. This study focused on testing the nomological network of one of the most commonly used evaluation models developed by Thomas Guskey. A description of the model is presented along with a discussion of the lack of empirical evidence that exists regarding its effectiveness. By investigating the relationships among the five components in Guskey\u27s Model (Teacher Satisfaction, Teacher Knowledge, Teacher Practices, Administrative Support and Student Outcomes), it was possible to determine whether these assumed relationships actually do exist and contribute to the accuracy of the program evaluation. Data collected from Reading First Ohio over the past 6 years was utilized to test the nomological net of Guskey\u27s model. The finding indicated strong support for the continued used of Guske

An Empirical Validation of Guskey\u27s Professional Development Evaluation Model Using Six Years of Student and Teacher Level Reading Data

In this era of high-stakes testing and tight funding there is unprecedented interest in and a requirement for accountability in the field of education. Virtually all funded projects are required to have an evaluation component designed to determine if project goals have been met. Positive outcomes are often the basis for continued funding and implementation. School systems also depend heavily on well-designed evaluations to assess the quality and impact of the professional development they offer to bring about change in teacher practice, in their effort to implement reform, and to demonstrate accountability to their stakeholders. The need to provide and assess professional development to improve teaching practices has generated numerous evaluation models that are widely used but have not been empirically tested. Since important program decisions are based on the results of these assessments, there is a great need to ensure the efficacy of these evaluation models to appropriately assess the programs they are intended to evaluate. Therefore, the purpose of this research was to empirically test the theory underlying Guskey\u27s Model for evaluating professional development, which is widely used by school systems engaging in program assessment. This study focused on testing the nomological network of one of the most commonly used evaluation models developed by Thomas Guskey. A description of the model is presented along with a discussion of the lack of empirical evidence that exists regarding its effectiveness. By investigating the relationships among the five components in Guskey\u27s Model (Teacher Satisfaction, Teacher Knowledge, Teacher Practices, Administrative Support and Student Outcomes), it was possible to determine whether these assumed relationships actually do exist and contribute to the accuracy of the program evaluation. Data collected from Reading First Ohio over the past 6 years was utilized to test the nomological net of Guskey\u27s model. The finding indicated strong support for the continued used of Guske

The Resource Page- 48

In contrast to many memoirs now being published, Benched is not the story of a miserable childhood, a struggle against enormous odds, or escape from a dysfunctional family. Rather, its author, Judge Jon O. Newman, tells of his balanced and uncommonly productive life, much of it spent as a federal judge for the district court and then the court of appeals for the Second Circuit. Judge Newman’s path to the federal appellate bench was paved with well-connected mentors, who seemed eager to provide him with opportunity after opportunity. However, the book shows that this “charmed” career was the result not just of luck, but of his obvious competence and deep willingness to take on thankless duties. Judge Newman attended Princeton University and Yale Law School and then served as a law clerk on the D.C. Circuit Court of Appeals. This clerkship led, remarkably, to an offer to serve as a clerk for Chief Justice Earl Warren, even though he had not formally applied for the position. The section on his time at the Court provides a fascinating, if all-too-brief, glimpse of its workings at the time