Is there an immigrant-gender gap in education? An empirical investigation based on PISA data from Italy.

Gender and origin background are widely accepted in the economics of education literature as factors that highly correlate with educational outcomes. However, little attention has been devoted so far to the interaction of these two dimensions. We use Italian data from PISA 2015 to investigate potential immigrant-gender gaps in education. We find that, as expected, girls outperform boys in reading and are outperformed by them in math and science. In addition, immigrant students\u2019 scores are persistently below those of natives. However, interestingly, we find that being immigrant and female does not imply a double disadvantage in math and science. On the contrary, immigrant girls slightly compensate for the immigrant gap in all disciplines. Moreover, the wider gap we find is that of immigrant boys in reading: it ranges from to 0.66 to 2 school years with respect to native boys. Language spoken at home is one of the main cofactors affecting immigrant boy\u2019s scores. Targeted policies should therefore be implemented

Care and the Capability of Living a Healthy Life in a Gender Perspective

This paper deals with the definition of the capability of living a healthy life with special reference to the Italian context. The increasing ageing of Italian population and the higher likelihood for elderly to experience poorer health conditions (Addabbo, Picchio; 2010; Addabbo, Chiarolanza, Fuscaldo, Pirotti, 2010) lead us to focus especially on elderly population and gender differences in the measurement of the development of this capability. Institutional as well family and individual conversion factors are analysed in their interaction with the observed development of the capability of living a healthy life taking a gender perspective. To measure the latter we use both self assessed health status and objective gerontological measures of health conditions available in the Italian sample of the Survey of Health, Ageing, Retirement in Europe (SHARE). The self-completion questionaire, that is submitted only to a part of the whole SHARE sample, allows to gain important information on the household characteristics and in particular on the sharing of different responsibilities within the household (doing the cleaning, caring for children and elderlies, earning money etc.). Part of this information is also retrospective. This allows us to extend our analysis on the measurement of individual current achievement in the capability taking into account how conversion factors can interact with the development of the capability since it allows a long term analysis of their effect

Care and the capability of living a healthy life in a gender perspective

This paper deals with the definition of the capability of living a healthy life with special reference to the Italian context. The increasing ageing of Italian population and the higher likelihood for elderly to experience poorer health conditions (Addabbo, Picchio; 2010; Addabbo, Chiarolanza, Fuscaldo, Pirotti, 2010) lead us to focus especially on elderly population and gender differences in the measurement of the development of this capability. Institutional as well family and individual conversion factors are analysed in their interaction with the observed development of the capability of living a healthy life taking a gender perspective. To measure the latter we use both self assessed health status and objective gerontological measures of health conditions available in the Italian sample of the Survey of Health, Ageing, Retirement in Europe (SHARE). The self-completion questionaire, that is submitted only to a part of the whole SHARE sample, allows to gain important information on the household characteristics and in particular on the sharing of different responsibilities within the household (doing the cleaning, caring for children and elderlies, earning money etc.). Part of this information is also retrospective. This allows us to extend our analysis on the measurement of individual current achievement in the capability taking into account how conversion factors can interact with the development of the capability since it allows a long term analysis of their effect

The quality of work dimensions. Results of a multivariate analysis from the Third Isfol Survey on Quality of work in Italy

This paper starts with an overview of the theoretical framework on quality of work and identifies five relevant dimensions, in line with Gallino & La Rosa: ergonomic, complexity, autonomy, control and economic dimensions. The above dimensions are described and measured by means of multivariate analysis to detect differences in terms of the factors affecting the level of the quality of work dimensions achieved. The data set that we use for this purpose is the Third Isfol Survey on Quality of Work (IsfolQdL) that has been carried out in 2010 on a sample of 5,000 workers and operationalizes the five dimensions of the quality of work. The results of the multivariate analysis confirm the worse achievements in terms of quality of work by temporary workers and lower skilled workers and lower level of achievements by women in the economic and autonomy dimensions. Women are also more likely to be found in part-time work positions and the latter show an improvement in the ergonomic dimension (that includes also work life balance) at the expenses of the economic and autonomy dimensions

Gas sensing properties of In2O3 nano-films obtained by low temperature pulsed electron deposition technique on alumina substrates

Nanostructured Indium(III) oxide (In2O3) films deposited by low temperature pulsed electron deposition (LPED) technique on customized alumina printed circuit boards have been manufactured and characterized as gas sensing devices. Their electrical properties have monitored directly during deposition to optimize their sensing performance. Experimental results with oxidizing (NO2) as well as reducing (CO) gases in both air and inert gas carriers are discussed and modeled

The COVID-19 recession might increase discriminating attitudes toward LGBT people and mental health problems due to minority stress

This letter to the Editor points the attention to the fact that the foreseen economic downturn related to the COVID 19 Crisis may lead to an increase to the discrimination of the lgbtiq+ population. This may lead to an increase to the minority streess experienced by this population and, consequently, to mental health difficulties. It supports this warning analysing and reporting data from he first survey on discrimination based on gender, sexual orientation and ethnicity was performed by the Italian National Institute of Statistics in 2011 (ISTAT, 2015) on a sample of about 8,000 individuals aged 18-74 years

Dynamic facial expressions of emotions are discriminated at birth

The ability to discriminate between different facial expressions is fundamental since the first stages of postnatal life. The aim of this study is to investigate whether 2-days-old newborns are capable to discriminate facial expressions of emotions as they naturally take place in everyday interactions, that is in motion. When two dynamic displays depicting a happy and a disgusted facial expression were simultaneously presented (i.e., visual preference paradigm), newborns did not manifest any visual preference (Experiment 1). Nonetheless, after being habituated to a happy or disgusted dynamic emotional expression (i.e., habituation paradigm), newborns successfully discriminated between the two (Experiment 2). These results indicate that at birth newborns are sensitive to dynamic faces expressing emotions

Temporal Convolutional Neural Networks for Radar Micro-Doppler Based Gait Recognition

The capability of sensors to identify individuals in a specific scenario is a topic of high relevance for sensitive sectors such as public security. A traditional approach involves cameras; however, camera-based surveillance systems lack discretion and have high computational and storing requirements in order to perform human identification. Moreover, they are strongly influenced by external factors (e.g., light and weather). This paper proposes an approach based on a temporal convolutional deep neural networks classifier applied to radar micro-Doppler signatures in order to identify individuals. Both sensor and processing requirements ensure a low size weight and power profile, enabling large scale deployment of discrete human identification systems. The proposed approach is assessed on real data concerning 106 individuals. The results show good accuracy of the classifier (the best obtained accuracy is 0.89 with an F1-score of 0.885) and improved performance when compared to other standard approaches

Strategies for the Accurate Measurement of the Resonance Frequency in QCM-D Systems via Low-Cost Digital Techniques

In this paper, an FPGA (Field Programmable Gate Array)-based digital architecture for the measurement of quartz crystal microbalance (QCM) oscillating frequency of transient responses, i.e., in QCM-D (QCM and Dissipation) applications, is presented. The measurement system is conceived for operations in liquid, with short QCM transient responses due to the large mechanical load. The proposed solution allows for avoiding the complex processing systems typically required by the QCM-D techniques and grants frequency resolutions better than 1 ppm. The core of the architecture is a reciprocal digital frequency meter, combined with the preprocessing of the QCM signal through mixing operations, such as a step-down of the input frequency and reducing the measurement error. The measurement error is further reduced through averaging. Different strategies are proposed to implement the proposed measurement solution, comprising an all-digital circuit and mixed analog/digital ones. The performance of the proposed architectures is theoretically derived, compared, and analyzed by means of experimental data obtained considering 10 MHz QCMs and 200 μs long transient responses. A frequency resolution of about 240 ppb, which corresponds to a Sauerbrey mass resolution of 8 ng/cm2, is obtained for the all-digital solution, whereas for the mixed solution the resolution halves to 120 ppb, with a measurement time of about one second over 100 repetitions