Sexual Function in Women with Deep Endometriosis: Correlation with Quality of Life,Intensity of Pain,Depression, Anxiety,and Body Image

Objectives: We evaluated sexual function, quality of life and perceived body image of women with deep endometriosis in comparison to that of healthy women. Methods: The sample consisted of 41 women with deep endometriosis and 40 healthy women without endometriosis. Sexual, psychological and pain evaluation were performed. Results: The study evidenced that deep endometriosis has a significant impact on sexuality and body image. Conclusions: An integrated and patient-centered approach to medical and psychological and sexual issues is suggested.     

Beyond Markowitz with multiple criteria decision aiding

The paper is about portfolio selection in a non-Markowitz way, involving uncertainty modeling in terms of a series of meaningful quantiles of probabilistic distributions. Considering the quantiles as evaluation criteria of the portfolios leads to a multiobjective optimization problem which needs to be solved using a Multiple Criteria Decision Aiding (MCDA) method. The primary method we propose for solving this problem is an Interactive Multiobjective Optimization (IMO) method based on so-called Dominance-based Rough Set Approach (DRSA). IMO-DRSA is composed of two phases: computation phase, and dialogue phase. In the computation phase, a sample of feasible portfolio solutions is calculated and presented to the Decision Maker (DM). In the dialogue phase, the DM indicates portfolio solutions which are relatively attractive in a given sample; this binary classification of sample portfolios into ‘good’ and ‘others’ is an input preference information to be analyzed using DRSA; DRSA is producing decision rules relating conditions on particular quantiles with the qualification of supporting portfolios as ‘good’; a rule that best fits the current DM’s preferences is chosen to constrain the previous multiobjective optimization in order to compute a new sample in the next computation phase; in this way, the computation phase yields a new sample including better portfolios, and the procedure loops a necessary number of times to end with the most preferred portfolio. We compare IMO-DRSA with two representative MCDA methods based on traditional preference models: value function (UTA method) and outranking relation (ELECTRE IS method). The comparison, which is of methodological nature, is illustrated by a didactic example.     

An Integrated Approach to Select Key Quality Indicators in Transit Services

Social Indicators Research - Recent interests in transit services have captured attention of experts on the monitoring of public transport quality. Previous research focused on relevant models and...     

The impact of national culture and social capital on corporate social responsibility attitude among immigrants entrepreneurs

Although significant attention has been given to the phenomenon of immigrant entrepreneurship, little is known about the adoption of corporate social responsibility (CSR) in immigrant firms. Beyond the traditional social, cultural and regulatory challenges in the last years immigrant entrepreneurs have had to cope with the wide growing interest towards CSR, with raising expectations about firm’s environmental and social behaviors. This study provides initial insights on this topic by studying the effect of social capital and national culture on the immigrant entrepreneur’s attitude to adopt CSR in three areas: social, health and safety and environment. Sixty semi-structured interviews were conducted among immigrant entrepreneurs in the Italian Province of Milan; the first one for number of immigrant entrepreneurs. Data collected were analyzed through OLS regression. Findings shows that power distance and individualism/collectivism have a negative relation with all the three CSR areas, while uncertainty avoidance is negatively related only to environmental effort. We find out a robust relation between national culture and environmental and social practices and the health and safety area. The study concludes with practical implications and suggestions for future research. The paper is one of the first studies that address the topic of CSR among immigrant entrepreneurs. Understanding the commitment of this firms is relevant for the debate around CSR and SMEs, mainly because immigrant entrepreneurs are increasing their relevance in the developed countries.     

An integrated tool to support engineers for WMSDs risk assessment during the assembly line balancing

This paper wants to present an integrated approach to Line Balancing and Risk Assessment and a Software Tool named ErgoAnalysis that makes it easy to control the whole production process and produces a Risk Index for the actual work tasks in an Assembly Line. Assembly Line Balancing, or simply Line Balancing, is the problem of assigning operations to workstations along an assembly line, in such a way that the assignment be optimal in some sense. Assembly lines are characterized by production constraints and restrictions due to several aspects such as the nature of the product and the flow of orders. To be able to respond effectively to the needs of production, companies need to frequently change the workload and production models. Each manufacturing process might be quite different from another. To optimize very specific operations, assembly line balancing might utilize a number of methods and the Engineer must consider ergonomic constraints, in order to reduce the risk of WMDSs. Risk Assessment may result very expensive because the Engineer must evaluate it at every change. ErgoAnalysis can reduce cost and improve effectiveness in Risk Assessment during the Line Balancing.     

Exploring the Contingencies of Scaling Social Impact: A Replication and Extension of the SCALERS Model

While the scaling of impact remains to be one of the most important issues in the field of social entrepreneurship, limited empirical research has been focused on the topic. One of the first scholarly attempts to build a research agenda to better understand the scaling of social impact was the SCALERS model. Building on initial theoretical and empirical work, this study is based on a sample of 179 nonprofit organizations in Italy. It also extends prior work by providing theoretical grounding through contingency theory and conducting the first empirical test of the situational contingencies of the SCALERS model. A positive relationship between each of the SCALERS variables and scaling—except replicating—has been found. Initial evidence of five contingencies that moderate the relationship between the SCALERS and scaling of social impact has also been found.