ANALYSIS OF RURAL QUALITY OF LIFE AND HEALTH: A SPATIAL APPROACH

This paper examines the relationship between quality of life, health and several socioeconomic variables. The analysis utilizes empirical data obtained from a survey questionnaire administered on a random sample of over 2000 residents in twenty-one counties in West Virginia, and spatial data obtained by geocoding the survey respondents' addressees. Quality of life is measured by a three-point categorical measure of overall satisfaction and an ordered probit model is used to examine the relationships. The empirical results are consistent with the theoretical predictions and indicate, for instance, that quality of life satisfaction increases with income and education while it decreases with unemployment.Community/Rural/Urban Development, Consumer/Household Economics,

Parametric and Non Parametric Testing for Income Convergence

This paper examines the degree to which per capita incomes have converged across counties in West Virginia over the last thirty years. The increase in government transfers and, possibly, other government assistance programs would suggest that incomes in spatially dispersed regions/counties within nation-state should become similar over this period. However, the interrelation between business cycles, migration, employment structure and changes in per capita earnings over time reduces this possibility. Comparable county data are obtained for two dissmilar regions: southern and eastern panhandle. The empirical results differ across the different measurement techniques used, but in general, the findings concur with the conclusions reached by previous studies that the convergence observed in earlier decades was replaced by divergence in the 1980s

Regional Science Reconsidered

Because disciplines and their cores and boundaries are subject to change, a periodic introspective assessment can be useful in evaluating the relevance of a changing discipline to the equally dynamic and pressing needs of society. Similar examinations of other disciplines, notably economics, have been conducted in part as a means of minimizing the risks of declining credibility, policy relevance, and societal benefit. With the Southern Regional Science Association celebrating recently its 50th meeting, and as regional science itself approaches its 60th year, this paper provides a reexamination of the core of regional science. We consider the theoretical and methodological underpinnings and current status, the various roles played by space in various representations, and the values that guide our policy advice and recommendations. While cores and boundaries of regional science cannot be unambiguously identified, particularly due to the considerable overlap with and lineage to other disciplines, we conclude that it is precisely the interdisciplinarity of regional science that distinguishes it from other social sciences, and ensures its continued relevance

Regulation of human immunodeficiency virus type 1 gene transcription by nuclear receptors in human brain cells.

Infection of cells of the central nervous system by the human immunodeficiency virus type-1 (HIV-1) leads to HIV-1-associated neuropathology. Recent studies have demonstrated the importance of long terminal repeat (LTR) binding sites in determining the pathogenicity of HIV. Here we have investigated the presence and the functional role of transcription factors that have the potential to interact, directly or indirectly, with the nuclear receptor-responsive element in the LTR of HIV-1, in different human cell lines of the brain. Cotransfection experiments showed that in oligodendroglioma TC-620 cells, the retinoic acid receptor and the retinoid X receptor activate LTR-driven transcription in the absence of ligand. Addition of all-trans- or 9-cis-retinoic acid reverses this effect. In contrast, in astrocytoma, neuronal, and microglial cells, no significant effect of the retinoid acid pathway was detected. This retinoid response is mediated by distinct molecular interactions in the lymphotropic LAI and the neurotropic JR-CSF HIV-1 strains. Moreover, retinoid receptors were found to antagonize the chicken ovalbumin upstream promoter transcription factor- as well as the c-JUN-mediated LTR transactivation. Our findings demonstrate the importance of the retinoic acid signaling pathway and of cross-coupling interactions in the repression of HIV-1 LTR gene expression.journal articleresearch support, non-u.s. gov't1996 Sep 13importe

Avoiding three consecutive blocks of the same size and same sum

We show that there exists an infinite word over the alphabet {0,1,3,4} containing no three consecutive blocks of the same size and the same sum. This answers an open problem of Pirillo and Varricchio from1994

Genetic progress in milk production in the swedish dairy populations

International audienc

A Free-Algebraic Solution for the Planar Approximation

An explicit solution for the generating functional of n-point functions in the planar approximation is given in terms of two sets of free-algebraic annihilation and creation operators.Comment: 15 pages, added referenc

Power of QTL detection by either fixed or random models in half-sib designs

The aim of this study was to compare the variance component approach for QTL linkage mapping in half-sib designs to the simple regression method. Empirical power was determined by Monte Carlo simulation in granddaughter designs. The factors studied (base values in parentheses) included the number of sires (5) and sons per sire (80), ratio of QTL variance to total genetic variance (λ = 0.1), marker spacing (10 cM), and QTL allele frequency (0.5). A single bi-allelic QTL and six equally spaced markers with six alleles each were simulated. Empirical power using the regression method was 0.80, 0.92 and 0.98 for 5, 10, and 20 sires, respectively, versus 0.88, 0.98 and 0.99 using the variance component method. Power was 0.74, 0.80, 0.93, and 0.95 using regression versus 0.77, 0.88, 0.94, and 0.97 using the variance component method for QTL variance ratios (λ) of 0.05, 0.1, 0.2, and 0.3, respectively. Power was 0.79, 0.85, 0.80 and 0.87 using regression versus 0.80, 0.86, 0.88, and 0.85 using the variance component method for QTL allele frequencies of 0.1, 0.3, 0.5, and 0.8, respectively. The log10 of type I error profiles were quite flat at close marker spacing (1 cM), confirming the inability to fine-map QTL by linkage analysis in half-sib designs. The variance component method showed slightly more potential than the regression method in QTL mapping

Multicritical continuous random trees

We introduce generalizations of Aldous' Brownian Continuous Random Tree as scaling limits for multicritical models of discrete trees. These discrete models involve trees with fine-tuned vertex-dependent weights ensuring a k-th root singularity in their generating function. The scaling limit involves continuous trees with branching points of order up to k+1. We derive explicit integral representations for the average profile of this k-th order multicritical continuous random tree, as well as for its history distributions measuring multi-point correlations. The latter distributions involve non-positive universal weights at the branching points together with fractional derivative couplings. We prove universality by rederiving the same results within a purely continuous axiomatic approach based on the resolution of a set of consistency relations for the multi-point correlations. The average profile is shown to obey a fractional differential equation whose solution involves hypergeometric functions and matches the integral formula of the discrete approach.Comment: 34 pages, 12 figures, uses lanlmac, hyperbasics, eps