Passive modernization? the new human development index and its components in Italy’s regions (1871-2007)

The article presents and discusses estimates of social and economic indicators for Italy’s regions in benchmark years roughly from Unification to the present day: life expectancy, education, GDP per capita at purchasing power parity, and the new Human Development Index (HDI). A broad interpretative hypothesis, based on the distinction between passive and active modernization, is proposed to account for the evolution of regional imbalances over the long-run. In the lack of active modernization, Southern Italy converged thanks to passive modernization, i.e., State intervention: however, this was more effective in life expectancy, less successful in education, expensive and as a whole ineffective in GDP. As a consequence, convergence in the HDI occurred from the late XIX century to the 1970s, but came to a sudden halt in the last decades of the XX century.

Colaniella, foraminifère index du Permien tardif téthysien: propositions pour une taxonomie simplifiée, répartition géographique et environnements

Une classification simplifiee du genre Colaniella LIKHAREV est proposee: Colaniella ex gr. parva, Colaniella ex gr. lepida, Colaniella ex gr. minima. Elle correspond a la division du taxon en trois groupes morphologiques. La repartition geographique de ce taxon est inventoriée de meme que les environnements sedimentaires et les microfaunes associees. Les nouvelles decouvertes de C. ex gr. parva dans Ie Permien superieur des coupes de Mesagros (ile d'Egine, Grece), d'Emarat (N Elbourz, Iran) et du Wadi Wasil dans les montagnes centrales d'Oman sont decrites en detail. L'importance des Colanielles dans la biostratigraphie du Permien superieur tethysien est analysee et clarifiee au vu des travaux recents et Ie problème des migrations est abordé. A simplified taxonomic classification in 3 groups of the genus Colaniella LIKHAREV is proposed: Colaniella ex gr. parva, Colaniella ex gr. lepida, Colaniella ex gr. minima. The repartition of the eight main Colaniella biofacies is given and the paleogeographic distribution of this genus is presented on a late Permian map configuration. New late Permian localities with Colaniella ex gr. parva have been found: Aegina island (Greece), Emmarat in the northern Alborz (Iran) and Wadi Wasit in the central Oman Mountains. The stratigraphic range of Colaniella ex gr. parva is much longer than previously accepted even by specialists. This range begins in the early Midian (Abadehian) and ends in the late Changhsingian (Dorashamian), very close to the range of the genus. For environmental reasons and slow eastward migration we have apparent shorter ranges in the Eastern part of the Tethyan domain.

Genetic variation at CHRNA5-CHRNA3-CHRNB4 interacts with smoking status to influence body mass index.

BACKGROUND: Cigarette smoking is associated with lower body mass index (BMI), and a commonly cited reason for unwillingness to quit smoking is a concern about weight gain. Common variation in the CHRNA5-CHRNA3-CHRNB4 gene region (chromosome 15q25) is robustly associated with smoking quantity in smokers, but its association with BMI is unknown. We hypothesized that genotype would accurately reflect smoking exposure and that, if smoking were causally related to weight, it would be associated with BMI in smokers, but not in never smokers. METHODS: We stratified nine European study samples by smoking status and, in each stratum, analysed the association between genotype of the 15q25 SNP, rs1051730, and BMI. We meta-analysed the results (n = 24 198) and then tested for a genotype × smoking status interaction. RESULTS: There was no evidence of association between BMI and genotype in the never smokers {difference per T-allele: 0.05 kg/m(2) [95% confidence interval (95% CI): -0.05 to 0.18]; P = 0.25}. However, in ever smokers, each additional smoking-related T-allele was associated with a 0.23 kg/m(2) (95% CI: 0.13-0.31) lower BMI (P = 8 × 10(-6)). The effect size was larger in current [0.33 kg/m(2) lower BMI per T-allele (95% CI: 0.18-0.48); P = 6 × 10(-5)], than in former smokers [0.16 kg/m(2) (95% CI: 0.03-0.29); P = 0.01]. There was strong evidence of genotype × smoking interaction (P = 0.0001). CONCLUSIONS: Smoking status modifies the association between the 15q25 variant and BMI, which strengthens evidence that smoking exposure is causally associated with reduced BMI. Smoking cessation initiatives might be more successful if they include support to maintain a healthy BMI.

City of Walford, Capitalization Grants for Clean Water State Revolving Funds, Independent Auditor's Reports, Schedule of Expenditures of Federal Awards, Schedule of Findings and Questioned Costs, Year Ended June 30, 2004

City Audit Report

City of Goose Lake, Capitalization Grants for Drinking Water, State Revolving Funds, Independent Auditor's Reports, Schedule of Expenditures of Federal Awards, Schedule of Findings and Questioned Costs, Year Ended June 30, 2005

City Audit Report

Student Health Facility Revenue Bond Funds, Iowa State University of Science and Technology, Independent Auditor's Report, Financial Statements and Supplemental Information, June 30, 2005

State University Audit Report

Body mass index and health-related quality of life among young Swiss men.

BACKGROUND: Studies about the association between body mass index (BMI) and health-related quality of life (HRQOL) are often limited, because they 1) did not include a broad range of health-risk behaviors as covariates; 2) relied on clinical samples, which might lead to biased results; and 3) did not incorporate underweight individuals. Hence, this study aims to examine associations between BMI (from being underweight through obesity) and HRQOL in a population-based sample, while considering multiple health-risk behaviors (low physical activity, risky alcohol consumption, daily cigarette smoking, frequent cannabis use) as well as socio-demographic characteristics. METHODS: A total of 5 387 young Swiss men (mean age = 19.99; standard deviation = 1.24) of a cross-sectional population-based study were included. BMI was calculated (kg/m²) based on self-reported height and weight and divided into 'underweight' (<18.5), 'normal weight' (18.5-24.9), 'overweight' (25.0-29.9) and 'obese' (≥30.0). Mental and physical HRQOL was assessed via the SF-12v2. Self-reported information on physical activity, substance use (alcohol, cigarettes, and cannabis) and socio-demographic characteristics also was collected. Logistic regression analyses were conducted to study the associations between BMI categories and below average mental or physical HRQOL. Substance use variables and socio-demographic variables were used as covariates. RESULTS: Altogether, 76.3% were normal weight, whereas 3.3% were underweight, 16.5% overweight and 3.9% obese. Being overweight or obese was associated with reduced physical HRQOL (adjusted OR [95% CI] = 1.58 [1.18-2.13] and 2.45 [1.57-3.83], respectively), whereas being underweight predicted reduced mental HRQOL (adjusted OR [95% CI] = 1.49 [1.08-2.05]). Surprisingly, obesity decreased the likelihood of experiencing below average mental HRQOL (adjusted OR [95% CI] = 0.66 [0.46-0.94]). Besides BMI, expressed as a categorical variable, all health-risk behaviors and socio-demographic variables were associated with reduced physical and/or mental HRQOL. CONCLUSIONS: Deviations from normal weight are, even after controlling for important health-risk behaviors and socio-demographic characteristics, associated with compromised physical or mental HRQOL among young men. Hence, preventive programs should aim to preserve or re-establish normal weight. The self-appraised positive mental well-being of obese men noted here, which possibly reflects a response shift, might complicate such efforts.

Memorial Union Revenue Bond Funds, Iowa State University of Science and Technology, Independent Auditor's Reports, Financial Statements, June 30, 2005

State University Audit Report

Telecommunication Facilities Revenue Bond Funds, Iowa State University of Science and Technology, Independent Auditor's Report, Financial Statements and Supplemental Information, June 30, 2005

State University Audit Report

Utility System Revenue Bond Funds, Iowa State University of Science and Technology, Independent Auditor's Report, Financial Statements and Supplemental Information, June 30, 2005

State University Audit Report

Regulated Materials Facility Revenue Bond Funds, Iowa State University of Science and Technology, Independent Auditor's Reports, Financial Statements, June 30, 2005

State University Audit Report

Parking System Revenue Bond Funds, Iowa State University of Science and Technology, Independent Auditor's Report, Financial Statements and Supplemental Information, June 30, 2005

State University Audit Report

Recreational Facility Revenue Bond Funds, Iowa State University of Science and Technology, Independent Auditor's Report, Financial Statements and Supplemental Information, June 30, 2005

State University Audit Report

Indoor Multipurpose Use and Training Facility Revenue Bond Funds, Iowa State University of Science and Technology, Independent Auditor's Report, Financial Statements and Supplemental Information, June 30, 2005

State University Audit Report

Hilton Coliseum Revenue Bond Funds, Iowa State University of Science and Technology, Independent Auditor's Report, Financial Statements and Supplemental Information, June 30, 2005

State University Audit Report