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«If I Care, I Buy». Exploring an Integrated Model of Environmental Concern, Attitudes, Anticipated Guilt and Purchase Intention in Sustainable Vegan Fashion.

This study explores the individuals’ attitudes towards sustainable vegan fashion products. A conceptual model combining perceived consumer effectiveness, perceived personal relevance, attitude towards the purchase of sustainable vegan fashion products, perceived behavioral control, anticipated guilt, performance risk, purchase intention, willingness to pay, and willingness to recommend is proposed. A survey instrument was used to test the proposed conceptual model. Collected data was analyzed...

Promuovere la pace attraverso lo sport: il caso delle calciatrici afgane

Through a microsociological analysis, the present essay aims to address the issue of peace and the role of female sport in society. As we demonstrate, there is a strong correlation between the creation of conditions of peace and the practice of sport, as well as between the practice of sport and the involvement of political choices. In this context, sport – and more precisely football – is found to represent a tool for female empowerment in Afghanistan. Through sport and the use of the latest...

Loneliness, Reflexiviy and AI in Youth

In the paper, we address the issue of loneliness in relation to the increasingly all-encompassing use of the AI and the role reflexivity is playing in this regard. Based on previous research we presume that reflexivity significantly affects how one constitutes the world, engages in social relationship, navigates the media contents, and also engages in purposive action related to a more sustainable future. Based on that, we hypothesise that those who are highly reflexive tend to better cope wi...

Selective Grasping for Complex-Shaped Parts Using Topological Skeleton Extraction

To enhance the autonomy and flexibility of robotic systems, a crucial role is played by the capacity to perceive and grasp objects. More in detail, robot manipulators must detect the presence of the objects within their workspace, identify the grasping point, and compute a trajectory for approaching the objects with a pose of the end-effector suitable for performing the task. These can be challenging tasks in the presence of complex geometries, where multiple grasping-point candidates can be ...

Shape and style GAN-based multispectral data augmentation for crop/weed segmentation in precision farming

The use of deep learning methods for precision farming is gaining increasing interest. However, collecting training data in this application field is particularly challenging and costly due to the need of acquiring information during the different growing stages of the cultivation of interest. In this paper, we present a method for data augmentation that uses two GANs to create artificial images to augment the training data. To obtain a higher image quality, instead of re-creating the entire ...

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