Glucocorticoids have state-dependent stimulant effects on the mesencephalic dopaminergic transmission.

An increase in the activity of mesencephalic dopaminergic neurons has been implicated in the appearance of pathological behaviors such as psychosis and drug abuse. Several observations suggest that glucocorticoids might contribute to such an increase in dopaminergic activity. The present experiments therefore analyzed the effects of corticosterone, the major glucocorticoid in the rat, both on dopamine release in the nucleus accumbens of freely moving animals by means of microdialysis, and on locomotor activity, a behavior dependent on accumbens dopamine. Given that glucocorticoids have certain state-dependent neuronal effects, their action on dopamine was studied in situations differing in dopaminergic tonus, including during the light and dark phases of the circadian cycle, during eating, and in groups of animals differing in their locomotor reactivity to novelty. Dopaminergic activity is increased in the dark period, further increased during food-intake, and is higher in rats defined as high responders to novelty than in low responders. Corticosterone, peripherally administered in a dose that approximates stress-induced plasma concentrations, increased extracellular concentrations of dopamine, and this increase was augmented in the dark phase, during eating, and in high responder rats. Corticosterone had little or no effects in the light phase and in low responder rats. Corticosterone also stimulated locomotor activity, an effect that paralleled the release of dopamine and was abolished by neurochemical (6-hydroxydopamine) depletion of accumbens dopamine. In conclusion, glucocorticoids have state-dependent stimulant effects on mesencephalic dopaminergic transmission, and an interaction between these two factors might be involved in the appearance of behavioral disturbances.

LOGITCPRPLOT: Stata module to graph component-plus-residual plot for logistic regression

logitcprplot can be used after logistic regression for graphing a component-plus-residual plot (a.k.a. partial residual plot) for a given predictor, including a lowess, local polynomial, restricted cubic spline, fractional polynomial, penalized spline, regression spline, running line, or adaptive variable span running line smooth

RRLOGIT: Stata module to estimate logistic regression for randomized response data

rrlogit fits a maximum-likelihood logistic regression for randomized response data.

Generic substitution and prescription drug prices : economic effects of state drug product selection laws /

Item 535.

Beryllium sampling methods: Comparison of two personal sample collection methods with the AEC sample collection method as used for one year in a beryllium production facility. /

Item 499-F-2

Livestock research of the United States Department of Agriculture and in cooperation with state agricultural experiment stations; a preliminary summary of progress and plans

Includes bibliography.

Asset sharing with state and local law enforcement.

Mode of access: Internet.

Dr. Watts' Psalms and hymns with Dr. Rippon's selection : containing all the additional hymns : with copious indices, including an index of the first line of each verse of Psalms and hymns

Las dos partes que componen el libro con paginación independiente.

Reorganization of school districts in Kansas, 1945-46; a report of reorganizations accomplished on March 1, 1946, together with subsequent reorganization activity, by counties, with state summary.

Mode of access: Internet.

A compendium of the religious doctrines, religious and moral precepts, historical and descriptive beauties of the Bible : with a separate moral selection from the Apocrypha /

Includes index.

Proceedings, Annual Conference with State and Territory Health Officers with the U.S. Public Health Service

1931-1941 Have Title: Transactions. for Transactions of the 1st-28th Annual Conference

Variáveis discriminantes para inferência da insolvência de empresas brasileiras: um estudo para o período de 2008 a 2016

This study aimed to determine if accounting and governance indicators are relevant to foresee the stages of financial stress of companies by using a logistic regression. With the formation of two samples was possible to verify if the inclusion of insolvency data defined by cash flow shortage events were relevant to increase model capacity for prediction of insolvency. The remaining insolvency stages were judicial reorganization and bankruptcy. The control sample is formed by healthy companies, from the same sector and size. The period of analysis includes events that occurred between January 2008 and March 2016. The main variables that showed significant results to predict insolvency states, a year before the event happens, were Profitability, Efficiency and Payment Capacity indicators. The Governance indicator was only significant to predict insolvency arising from judicial reorganization and bankruptcy. Among the models studied, the most accurate model presented total correctness capacity of 88,7%, classifying correctly 88% of solvent companies and 89,3% of insolvent companies. The results indicate the usefulness of financial indicators of Payment Capacity, Efficiency and Profitability, as well as the Governance variable, to discriminate the insolvency of companies.

Long-run effects of unfunded social security with earnings-dependent benefits

This paper examines the effects of unfunded social security with bequests, fertility and human capital by considering a mix of earnings-dependent and universal social security benefits. We show that social security is more likely to promote growth by reducing fertility and increasing human capital investment if its benefits are more dependent on individuals' own earnings. Through simulations, we find that the differences in the effects of social security resulting from variations in the benefit formula can be too substantial to be ignored. We also investigate the welfare effect in calibrated economies. (C) 2003 Elsevier B.V. All rights reserved.

Theoretical and numerical analysis of large-scale heat transfer problems with temperature-dependent pore-fluid densities

Purpose - In many scientific and engineering fields, large-scale heat transfer problems with temperature-dependent pore-fluid densities are commonly encountered. For example, heat transfer from the mantle into the upper crust of the Earth is a typical problem of them. The main purpose of this paper is to develop and present a new combined methodology to solve large-scale heat transfer problems with temperature-dependent pore-fluid densities in the lithosphere and crust scales. Design/methodology/approach - The theoretical approach is used to determine the thickness and the related thermal boundary conditions of the continental crust on the lithospheric scale, so that some important information can be provided accurately for establishing a numerical model of the crustal scale. The numerical approach is then used to simulate the detailed structures and complicated geometries of the continental crust on the crustal scale. The main advantage in using the proposed combination method of the theoretical and numerical approaches is that if the thermal distribution in the crust is of the primary interest, the use of a reasonable numerical model on the crustal scale can result in a significant reduction in computer efforts. Findings - From the ore body formation and mineralization points of view, the present analytical and numerical solutions have demonstrated that the conductive-and-advective lithosphere with variable pore-fluid density is the most favorite lithosphere because it may result in the thinnest lithosphere so that the temperature at the near surface of the crust can be hot enough to generate the shallow ore deposits there. The upward throughflow (i.e. mantle mass flux) can have a significant effect on the thermal structure within the lithosphere. In addition, the emplacement of hot materials from the mantle may further reduce the thickness of the lithosphere. Originality/value - The present analytical solutions can be used to: validate numerical methods for solving large-scale heat transfer problems; provide correct thermal boundary conditions for numerically solving ore body formation and mineralization problems on the crustal scale; and investigate the fundamental issues related to thermal distributions within the lithosphere. The proposed finite element analysis can be effectively used to consider the geometrical and material complexities of large-scale heat transfer problems with temperature-dependent fluid densities.