Lipid peroxidation and the aging process

Consistent evidence supports the hypothesis that a progressive accumulation of oxidative damage to important cellular molecules is a fundamental mechanism involved in most senescence-associated alterations. Oxidative damage occurs when free radicals produced within an organism are not completely destroyed by the appropriate endogenous defense systems. Because lipids are a major component of living organisms and probably the first easy target of free radicals once they are produced, lipid peroxidation might play an important role in initiating and/or mediating some aspects of the aging process. It has been widely demonstrated that there is an age-associated increase in the steady-state concentrations of lipid peroxidation products. However, establishing the involvement of this phenomenon in the pathogenesis of the aging process has not been an easy task. The recent development of more reliable techniques to measure lipid peroxidation, together with more well-defined animal models of aging, should be of great help in future studies in this field. The current evidence for the presence and importance of lipid peroxidation in the aging process is discussed in this review.     

A generalized framework for modelling ordinal data

In several applied disciplines, as Economics, Marketing, Business, Sociology, Psychology, Political science, Environmental research and Medicine, it is common to collect data in the form of ordered categorical observations. In this paper, we introduce a class of models based on mixtures of discrete random variables in order to specify a general framework for the statistical analysis of this kind of data. The structure of these models allows the interpretation of the final response as related to feeling, uncertainty and a possible shelter option and the expression of the relationship among these components and subjects’ covariates. Such a model may be effectively estimated by maximum likelihood methods leading to asymptotically efficient inference. We present a simulation experiment and discuss a real case study to check the consistency and the usefulness of the approach. Some final considerations conclude the paper.     

Emerging Patterns of Hispanic Residential Segregation: Lessons from Rural and Small‐Town America

The past two decades have ushered in a period of widespread spatial diffusion of Hispanics well beyond traditional metropolitan gateways. This article examines emerging patterns of racial and ethnic residential segregation in new Hispanic destinations over the 1990–2010 period, linking county, place, and block data from the 1990, 2000, and 2010 decennial censuses. Our multiscalar analyses of segregation are framed by classical models of immigrant assimilation and alternative models of place stratification. We ask whether Hispanics are integrating spatially with the native population and whether recent demographic and economic processes have eroded or perpetuated racial boundaries in nonmetropolitan areas. We show that Hispanic residential segregation from whites is often exceptionally high and declining slowly in rural counties and communities. New Hispanic destinations, on average, have higher Hispanic segregation levels than established gateway communities. The results also highlight microscale segregation patterns within rural places and in the open countryside (i.e., outside places), a result that is consistent with emerging patterns of “white flight.” Observed estimates of Hispanic‐white segregation across fast‐growing nonmetropolitan counties often hide substantial heterogeneity in residential segregation. Divergent patterns of rural segregation reflect local‐area differences in population dynamics, economic inequality, and the county employment base (using Economic Research Service functional specialization codes). Illustrative maps of Hispanic boom counties highlight spatially uneven patterns of racial diversity. They also provide an empirical basis for our multivariate analyses, which show that divergent patterns of local‐area segregation often reflect spatial variation in employment across different industrial sectors.     

Corporate social responsibility recognition and support for the arts: Evidence from European financial institutions

This research investigates whether financial institutions that have gained a good reputation in relation to their CSR activities also engage in significant corporate support for the arts (CSA). Using a sample composed of the 42 largest listed European financial institutions, data from 2004 to 2013 (i.e., 420 firm-year observations) and manually collected CSA disclosure information, our findings indicate that entities rewarded for their CSR initiatives are also those that engage in significant CSA. We also find that CSA disclosure reported in the social reports of financial institutions is a predictor for the attainment of a CSR award, whereas that reported in annual reports is not. Our findings suggest that annual and social reports have a different informative relevance, at least in relation to CSR initiatives in the form of CSA, for the stakeholders of financial institutions. Thus, our results provide useful insights for companies’ communication strategies showing, for example, that social reports are the best channel to communicate about CSA.     

Board characteristics effects on performance in family and non-family business: a multi-theoretical approach

This paper examines the role of the board of directors in influencing the value of Italian listed firms from 2003 to 2013. In particular, employing agency, stewardship and resource dependence theories, the study aims to compare board characteristics in family and non-family firms and define the theory that best applies to family firms. Empirical results show that the presence of CEO duality and busy directors has a positive effect on the value of family firms, while gender diversity has a negative impact on the value when a member of the family leads a family firm. Conversely, the size of the board positively affects the value of non-family firms. Our main findings suggest the prevalence, in family firms, of the benefits of the board structure argued by stewardship and resource dependence theories rather than the disadvantages expected from agency theory.     

Municipal Underbounding: Annexation and Racial Exclusion in Small Southern Towns*

Abstract This paper examines patterns of annexation, including municipal “underbounding,” in nonmetropolitan towns in the South; that is, whether blacks living adjacent to municipalities are systematically excluded from incorporation. Annexation‐or the lack of annexation‐can be a political tool used by municipal leaders to exclude disadvantaged or low‐income populations, including minorities, from voting in local elections and from receiving access to public utilities and other community services. To address this question, we use Tiger files, GIS, and other geographically disaggregated data from the Summary Files of the 1990 and 2000 decennial censuses. Overall, 22.6 percent of the fringe areas “at risk” of annexation in our study communities was African American, while 20.7 percent of the areas that were actually annexed during the 1990s was African American. However, communities with large black populations at the fringe were significantly less likely than other communities to annex at all‐either black or white population. Largely white communities that faced a “black threat”‐which we defined in instances where the county “percent black” was higher than the place “percent black”‐were also less likely to annex black populations during the 1990s. Finally, predominately white communities were much less likely to annex black populations, even when we controlled for the size of the black fringe population at risk of annexation. Such results provide evidence of racial exclusion in small southern towns.     

Units of Analysis and the Environmental Justice Hypothesis: The Case of Industrial Hog Farms

Objective . In environmental justice research, different-sized units of analysis have generated mixed results, begging the question of what constitutes the most appropriate unit of analysis. Grappling with this question raises both conceptual and methodological issues. In this article, it is argued that, conceptually, community should be the most important unit of analysis and that, methodologically, units should be selected through an appropriate sampling procedure. These issues are addressed through an investigation of the locations of industrial hog farms in Mississippi. Methods . A geographic information system procedure was used to identify community areas and to select the sample of units. The identified community areas were compared to counties, ZIP code areas, census tracts, and census block groups through a bivariate and multivariate logistic regression. Results . Race was the only variable that was consistently not found to be significant across all units. For the remaining variables—income, education, and industry—results were mixed across units. Conclusions . This research confirms that units of different size generate different results. We argue that the decision about the most appropriate unit of analysis should be conceptually rather than statistically determined and that community is the most important unit of analysis because it holds both legal and social authority to raise concern about environmentally controversial facilities.