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The arrival of unaccompanied minors from Africa in Spanish territory has been a constant since the last decade of the twentieth century. This migratory phenomenon has forced the child welfare system to attend to thousands of migrant children. The transition to adult life is a decisive stage in overcoming the situation of social exclusion. This research aims to analyse which socio-educational intervention strategies are effective during the process of transition to independent living with unaccompanied minors of African origin. We designed a qualitative research according to the grounded theory, which we divided into two phases. Twenty-nine young people (26 men and 3 women) participated. In phase 1, we performed two focus groups (N = 11), and in phase 2, we conducted longitudinal follow-ups (N = 18) for 24 months through 180 interviews. The results indicate the effectiveness of designing socio-educational accompaniment, prioritizing spaces of trust from which to attain the goals of emancipation. Young people consider effective those strategies that favour their knowledge of the social, labour and legal reality of the host society, designed considering each minor's individualized situation. We concluded that professional involvement acts as a buffer, reducing the bureaucratic obstacles implemented by the Spanish government.  相似文献   
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This paper analyses the importance of openness for innovation in European regions. Openness is understood from a double angle: intercultural and scientific & technological. Our hypothesis is that each type of openness brings different kinds of knowledge into the regions and results on a different innovation output. S&T openness brings analytical forms of knowledge whilst intercultural openness brings tacit ones. Our results confirm this relationship as S&T openness shows a significant impact on patent activity, but not when a broader innovation indicator is used. Intercultural openness is highly significant when measuring innovation by a broader index and much less when measured by patents.  相似文献   
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This research develops a Decent Work Questionnaire (DWQ) to measure workers’ perceptions of decent work. Current measurements of decent work are almost completely lacking at the individual worker level of analysis, and this study contributes to filling the gap. The authors designed their DWQ based on the substantive elements used by the ILO in its Decent Work Agenda, with the final 31‐item version of the DWQ yielding seven factors related to decent work. Showing good reliability coefficient values and good convergent and discriminant validity, this DWQ could open up new avenues for empirical studies on the concept of decent work.  相似文献   
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We study the interactions between sovereign debt default and maturity choice in a setting with limited commitment for repayment as well as future debt issuances. Our main finding is that, under a wide range of conditions, the sovereign should, as long as default is not preferable, remain passive in long‐term bond markets, making payments and retiring long‐term bonds as they mature but never actively issuing or buying back such bonds. The only active debt‐management margin is the short‐term bond market. We show that any attempt to manipulate the existing maturity profile of outstanding long‐term bonds generates losses, as bond prices move against the sovereign. Our results hold regardless of the shape of the yield curve. The yield curve captures the average costs of financing at different maturities but is misleading regarding the marginal costs.  相似文献   
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The theory of reasoned action (ToRA) has been proposed as a framework for cyberbullying prevention design, targeting attitudes and norms. In this study effects of a long (10 weekly sessions) and a short (one day, four sessions) cyberbullying prevention program based on the ToRA were compared with a control group over 9 months. Longitudinal data from 722 students (mean age = 13.36) on cyberbullying, somatic symptoms, attitudes, and norms were analyzed within a structural equation model. Participation in the long intervention group significantly reduced cyberbullying (= ?0.584) and somatic symptoms (= ?0.316). No between‐group differences emerged for attitudes and norms. Developmental trajectories and associations were found to be as suggested by ToRA in both cross‐sectional and change‐score analyses.  相似文献   
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We propose an alternative approach to identify unobserved consumer types and assess whether firms price discriminate. Unlike other screening schemes that rely on quantity discounts or product differentiation, in our finite mixture structure individuals have unit demands and the product is homogeneous. We implement the model using an original U.S. airlines data set. The results support the existence of two demand types. The high‐type “business” traveler is less price sensitive, has a higher valuation, and pays a higher price than the low type “tourist.” The proportion of high types also increases as the departure date nears. (JEL C23, L93, R41)  相似文献   
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Central to many inferential situations is the estimation of rational functions of parameters. The mainstream in statistics and econometrics estimates these quantities based on the plug‐in approach without consideration of the main objective of the inferential situation. We propose the Bayesian Minimum Expected Loss (MELO) approach focusing explicitly on the function of interest, and calculating its frequentist variability. Asymptotic properties of the MELO estimator are similar to the plug‐in approach. Nevertheless, simulation exercises show that our proposal is better in situations characterised by small sample sizes and/or noisy data sets. In addition, we observe in the applications that our approach gives lower standard errors than frequently used alternatives when data sets are not very informative.  相似文献   
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Inappropriate management of health and safety (H&S) risk in power infrastructure projects can result in occupational accidents and equipment damage. Accidents at work have detrimental effects on workers, company, and the general public. Despite the availability of H&S incident data, utilizing them to mitigate accident occurrence effectively is challenging due to inherent limitations of existing data logging methods. In this study, we used a text-mining approach for retrieving meaningful terms from data and develop six deep learning (DL) models for H&S risks management in power infrastructure. The DL models include DNNclassify (risk or no risk), DNNreg1 (loss time), DNNreg2 (body injury), DNNreg3 (plant and fleet), DNNreg4 (equipment), and DNNreg5 (environment). An H&S risk database obtained from a leading UK power infrastructure construction company was used in developing the models using the H2O framework of the R language. Performances of DL models were assessed and benchmarked with existing models using test data and appropriate performance metrics. The overall accuracy of the classification model was 0.93. The average R2 value for the five regression models was 0.92, with mean absolute error between 0.91 and 0.94. The presented results, in addition to the developed user-interface module, will help practitioners obtain a better understanding of H&S challenges, minimize project costs (such as third-party insurance and equipment repairs), and offer effective strategies to mitigate H&S risk.  相似文献   
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