1,403 research outputs found
Child Care and Development Fund: A Policy Analysis
Legislated as part of welfare reform, the Child Care and Development Fund (CCDF) is the main source of child care government funding earmarked for low-income families. As a block grant, with broad federal guidelines, states have significant freedom in implementing this legislation to meet the needs of their citizens. This diverse implementation has challenged legislators and scholars trying to assess the success of CCDF across the United States. In considering the evaluation research of CCDF, as well as the original goals of this legislation, several major themes related to the diverse state implementation emerged, including access, equity, and stability. This paper provides an overview of CCDF, explains these themes, and uses the 2002 third wave of National Survey of American Families (NSAF) data to demonstrate how policy analysts and researchers might use these themes to structure comprehensive evaluations of CCDF at both state and federal levels
Virtues and Flaws of the Pauli Potential
Quantum simulations of complex fermionic systems suffer from a variety of
challenging problems. In an effort to circumvent these challenges, simpler
``semi-classical'' approaches have been used to mimic fermionic correlations
through a fictitious ``Pauli potential''. In this contribution we examine two
issues. First, we address some of the inherent difficulties in a widely used
version of the Pauli potential. Second, we refine such a potential in a manner
consistent with the most basic properties of a cold Fermi gas, such as its
momentum distribution and its two-body correlation function.Comment: 16 pages, 6 figure
Procrustes-based distances for exploring between-matrices similarity
The statistical shape analysis called Procrustes analysis minimizes the Frobenius distance between matrices by similarity transformations. The method returns a set of optimal orthogonal matrices, which project each matrix into a common space. This manuscript presents two types of distances derived from Procrustes analysis for exploring between-matrices similarity. The first one focuses on the residuals from the Procrustes analysis, i.e., the residual-based distance metric. In contrast, the second one exploits the fitted orthogonal matrices, i.e., the rotational-based distance metric. Thanks to these distances, similarity-based techniques such as the multidimensional scaling method can be applied to visualize and explore patterns and similarities among observations. The proposed distances result in being helpful in functional magnetic resonance imaging (fMRI) data analysis. The brain activation measured over space and time can be represented by a matrix. The proposed distances applied to a sample of subjects-i.e., matrices-revealed groups of individuals sharing patterns of neural brain activation. Finally, the proposed method is useful in several contexts when the aim is to analyze the similarity between high-dimensional matrices affected by functional misalignment
Proton fraction in the inner neutron-star crust
Monte Carlo simulations of neutron-rich matter of relevance to the inner
neutron-star crust are performed for a system of A=5,000 nucleons. To determine
the proton fraction in the inner crust, numerical simulations are carried out
for a variety of densities and proton fractions. We conclude---as others have
before us using different techniques---that the proton fraction in the inner
stellar crust is very small. Given that the purported "nuclear pasta" phase in
stellar crusts develops as a consequence of the long-range Coulomb interaction
among protons, we question whether pasta formation is possible in such
proton-poor environments. To answer this question, we search for physical
observables sensitive to the transition between spherical nuclei and exotic
pasta structures. Of particular relevance is the static structure factor
S(k)---an observable sensitive to density fluctuations. However, no dramatic
behavior was observed in S(k). We regard the identification of physical
observables sensitive to the existence---or lack-thereof---of a pasta phase in
proton-poor environments as an open problem of critical importance.Comment: 24 pages and 7 figure
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