Social Capital, Institutions and Collective Action Between Firms

This work is based on the hypothesis that explanation of collective action between firms requires partly different variables from that used in explaining collective action between individuals. In order to look at the problem of what determines collective action, a model has been built using alongside social capital, the historical tradition of collective action and the activism of institutional actors as explicative variables of associationism between firms. The empirical results confirm the theoretical hypotheses put forward in the first part of the paper. First, social capital, institutional activism and experience accumulation, all together, enhance the propensity to collective action between firms. Each variable plays a significant role in explaining inter-firm co-operation. Secondly, these variables, however, affect the behaviour of small firms while the large ones appear to follow a different pattern of conduct. Thirdly, the empirical findings seem also to suggest that social capital and institutional proactive initiative produce synergic effects on collective action. The two variables reinforce each other in their effects on co-operation. Finally, the positive correlation between social capital and institutional initiative emerging from the empirical results suggests that an increase in the endowment of social capital tends to rise the level of institutional activity and the other way round.social capital, economic institutions, firms co-operation

Generative AI for Medical Imaging: extending the MONAI Framework

Recent advances in generative AI have brought incredible breakthroughs in several areas, including medical imaging. These generative models have tremendous potential not only to help safely share medical data via synthetic datasets but also to perform an array of diverse applications, such as anomaly detection, image-to-image translation, denoising, and MRI reconstruction. However, due to the complexity of these models, their implementation and reproducibility can be difficult. This complexity can hinder progress, act as a use barrier, and dissuade the comparison of new methods with existing works. In this study, we present MONAI Generative Models, a freely available open-source platform that allows researchers and developers to easily train, evaluate, and deploy generative models and related applications. Our platform reproduces state-of-art studies in a standardised way involving different architectures (such as diffusion models, autoregressive transformers, and GANs), and provides pre-trained models for the community. We have implemented these models in a generalisable fashion, illustrating that their results can be extended to 2D or 3D scenarios, including medical images with different modalities (like CT, MRI, and X-Ray data) and from different anatomical areas. Finally, we adopt a modular and extensible approach, ensuring long-term maintainability and the extension of current applications for future features

Input effects across domains:The case of Greek subjects in child heritage language

A recurring question in the literature of heritage language acquisition, and more generally of bilingual acquisition, is whether all linguistic domains are sensitive to input reduction and to cross-linguistic influence and to what extent. According to the Interface Hypothesis, morphosyntactic phenomena regulated by discourse–pragmatic conditions are more likely to lead to non-native outcomes than strictly syntactic aspects of the language (Sorace, 2011). To test this hypothesis, we examined subject realization and placement in Greek–English bilingual children learning Greek as a heritage language in North America and investigated whether the amount of heritage language use can predict their performance in syntax–discourse and narrow syntactic contexts. Results indicated two deviations from the Interface Hypothesis: First, subject realization (a syntax–discourse phenomenon) was found to be largely unproblematic. Second, subject placement was affected not only in syntax–discourse structures but also in narrow syntactic structures, though to a lesser degree, suggesting that the association between the interface status of subject placement and its sensitivity to heritage language use among children heritage speakers is gradient rather than categorical

Social Capital, Institutions, and Collective Action Between Firms

This work is based on the hypothesis that explanation of collective action between firms requires partly different variables from that used in explaining collective action between individuals. In order to look at the problem of what determines collective action, a model has been built using alongside social capital, the historical tradition of collective action and the activism of institutional actors as explicative variables of associationism between firms. The empirical results confirm the theoretical hypotheses put forward in the first part of the paper. First, social capital, institutional activism and experience accumulation, all together, enhance the propensity to collective action between firms. Each variable plays a significant role in explaining inter-firm co-operation. Secondly, these variables, however, affect the behaviour of small firms while the large ones appear to follow a different pattern of conduct. Thirdly, the empirical findings seem also to suggest that social capital and institutional proactive initiative produce synergic effects on collective action. The two variables reinforce each other in their effects on co-operation. Finally, the positive correlation between social capital and institutional initiative emerging from the empirical results suggests that an increase in the endowment of social capital tends to rise the level of institutional activity and the other way round

SOCIAL CAPITAL, INSTITUTIONS AND COLLECTIVE ACTION BETWEEN FIRMS

WORKING PAPERS - DIPARTIMENTO DI ECONOMIA - UNIVERSITA' DEGLI STUDI DI PARM