Use of quantitative ultrasound as bone mineral density evaluation in an Italian female population living with HIV: A real-life experience

This is a multicenter cross-sectional study where we aimed to detect the rate of osteopenia/osteoporosis in an HIV female population (WLWHIV) by means of “heel quantitative ultrasound” (QUS) measurement. We enrolled 273 patients, mean age 48.1 years, 36% menopausal, 96% on combination antiretroviral therapy (cART). Calcaneal measure of bone mass index by QUS revealed osteopenia and osteoporosis in 76 (27.8%) and 16 (5.9%) WLWHIV. Our data underline the correlation between low QUS parameters and traditional risk factors for osteoporosis rather than with cART exposure, thus suggesting the crucial importance of detection and correction of traditional risk factors for osteoporosis in WLWHIV.     

The Role of Neighborhood in the Analysis of Spatial Economic Inequality

Social Indicators Research - Spatial inequality measures should take into account the geographical position of the data of reference if the focus is on the spatial aspects of territorial...     

Italian Social Enterprises at the Crossroads: Their Role in the Evolution of the Welfare State

This paper investigates the relationship between the emergence of social enterprises (SEs) and the historical development of the Italian welfare state. Our research offers a comprehensive overview of the internal and external influences that shaped the constitutive relations between the welfare state and SEs. A qualitative methodology based on semi-structured interviews and focus groups has been adopted. This study suggests that two interconnected dynamics—the emergence of new social needs being answered by private organisations and the increased prominence of third sector actors during the privatisation of the welfare state—shaped the co-evolution of the welfare state and SEs in Italy. The study also suggests that the emergence and evolution of Social Enterprises in the years leading up to 2001 was mainly a bottom-up phenomena stemming from the actions of citizens setting up private organisations (often cooperatives) to answer to social problems created by new social needs and the structural reform of the welfare state. After 2001 especially with the new law on SEs in 2016, the evolution of SEs seems to have been increasingly influenced by the surrounding ecosystem of actors and supranational policy discourses rather than SEs themselves.     

Family Constellations and Life Satisfaction in Europe

Existing research on family and well-being has generally focused on the traditional family, and has largely ignored the increasing diversity in family forms and relations. Our aim in this paper is to help fill this gap by investigating the extent of the relationship between living arrangements and life satisfaction (LS) in Europe. We examined variations in life satisfaction by applying a multilevel approach (i.e., individuals nested in countries) to data from the 2007 European Quality of Life Survey. First, we found that levels of life satisfaction among families consisting of couples with children were significantly higher than among people in other (less typical) family arrangements. Second, our results illustrate that after the socioeconomic situation of the family was taken into account, the influence of family status on LS disappeared almost completely. Overall, our findings suggest that the lower levels of life satisfaction experienced by people living in atypical families can be largely attributed to their weaker socioeconomic position.     

Incorporating the environmental dimension in the assessment of automated warehouses

In today’s competitive context, the paradigm of sustainable development is becoming more and more significant, also in warehousing. Managers are progressively considering not only purely economic aspects but also environmental concerns. Despite such consciousness, the selection of automated warehousing solutions has been mainly based on operational and economic performance in both practice and theory so far, whereas energy consumption and environmental performance have not been adequately taken into account. To fill this lack, a model is proposed to evaluate the energy consumption and environmental impact of automated warehousing solutions. The model has been used to investigate whether and how the selection of automated solutions changes depending on the dimensions involved in the analysis (i.e. only economic, only environmental or both). The analysis has been performed considering autonomous vehicle storage and retrieval systems (AVS/RSs) and its natural alternative, i.e. automated storage and retrieval systems (AS/RSs). Results confirm the importance of considering both dimensions in the assessment of automated warehouses, as depending on the scenario, the technology selection shifts from AS/RS to AVS/RS when considering not only the economic but also the environmental impact. Additionally, this study provides new insights on the suitability areas of AVS/RSs.     

The challenges of mathematics education for Indigenous teacher training

In this article, I outline research carried out on in an Ethnomathematics course designed to train Indigenous teachers in Costa Rica, in which the following ethnic groups participated: Ngabes, Bribris, and Cabecares. The challenge is to develop a mathematical education that provides equitable conditions for the different groups within innovative curricular proposals. This research is based on the construct of ‘Cultural Mathematical Knowledge' which serves to describe intrinsic characteristics of socially differentiated groups and thus propose a model for teacher education. The design of the course incorporates an empirical base, a theoretical base, and a methodological base. It is a multicultural and multidisciplinary proposal based on Indigenous mathematics and on the ideas of mathematical enculturation, to be developed through curricular microprojects in Indigenous schools. The course promotes preparing the teacher as a researcher to shape him or herself mathematically, as someone who carries out appropriate educational actions in an academic environment in accordance with an ethnolinguistic reality, a cultural worldview, and awareness of the potential of the students of Indigenous schools.     

Bayesian Estimators for Small Area Models when Auxiliary Information is Measured with Error

Small area estimators in linear models are typically expressed as a convex combination of direct estimators and synthetic estimators from a suitable model. When auxiliary information used in the model is measured with error, a new estimator, accounting for the measurement error in the covariates, has been proposed in the literature. Recently, for area‐level model, Ybarra & Lohr (Biometrika, 95, 2008, 919) suggested a suitable modification to the estimates of small area means based on Fay & Herriot (J. Am. Stat. Assoc., 74, 1979, 269) model where some of the covariates are measured with error. They used a frequentist approach based on the method of moments. Adopting a Bayesian approach, we propose to rewrite the measurement error model as a hierarchical model; we use improper non‐informative priors on the model parameters and show, under a mild condition, that the joint posterior distribution is proper and the marginal posterior distributions of the model parameters have finite variances. We conduct a simulation study exploring different scenarios. The Bayesian predictors we propose show smaller empirical mean squared errors than the frequentist predictors of Ybarra & Lohr (Biometrika, 95, 2008, 919), and they seem also to be more stable in terms of variability and bias. We apply the proposed methodology to two real examples.     

Absorbing and generalized stable sets

Within the framework of an abstract system we establish the existing relationship between the following two solutions: The absorbing sets solution and the generalized stable sets solution.We are grateful to an anonymous referee for helpful comments. Financial support from the project 9/UPV-00035.321-13699/2001 is grateful acknowledged. Inarra gratefully acknowledges the hospitality of Brown University and the financial support from the Ministerio de Educación, Cultura y Deporte, PR 2003-0287.