1,721,100 research outputs found
Modello di trasporto degli inquinanti nei tratti metropolitani dei fiumi Tevere e Aniene
No full text
Understanding each-other: Engineering challenges and opportunities for users and systems in the deep learning era
Full text linkIn this paper, we discuss the impact of Deep Learning (DL) techniques in the present and future of the interactive system engineering. On the one hand, the support for more complex vocabularies offers opportunities in better shaping the communication between the user and the system. On the other hand, we identify challenges related to the lack of transparency and explainability in the trained models, which have a negative impact on system understanding for both developers and users
Esperienze di micropropagazione di piante di notevole interesse medicinale ed ecologico
No full textWe report on Artemisia umbelliformis
subsp. eriantha and Leontopodium nivale, species
belonging to the Asteraceae family, which are subendemics
of both medicinal and ecological interest. The
first one is mostly utilized for liqueur preparation while
the latter one is well-known for its anti-inflammatory
activity. Experimental protocols aimed to the rapid
multiplication of both species have been developed; in
the case of Artemisia, regenerated plants have been
reintroduced in experimental fields in the ‘Gran Sasso
Monti della Laga’ National Park
DG3: Exploiting Gesture Declarative Models for Sample Generation and Online Recognition
No full textIn this paper, we introduce DG3, an end-to-end method for exploiting gesture interaction in user interfaces. The method allows to declaratively model stroke gestures and their sub-parts, generating the training samples for the recognition algorithm. In addition, we extend the algorithms of the $-family for supporting the online (i.e., real-time ) stroke recognition and their parts, as declared in the models. Finally, we show that the method outperforms existing approaches for online recognition and has comparable accuracy with offline methods after a few gesture segments
In vitro propagation of Artemisia petrosa spp. eriantha: potential for the preservation of an endengered species
No full textA micropropagation method was developed for Artemisia petrosa ssp. eriantha (Genepı`), a central Apennines’ endemic which
represents, at present, an endangered species due to indiscriminate harvest for commercial purposes, mainly liqueur
production. Medium composition, and in particular the presence of CaCO3, influenced the rate of propagation which,
under optimal conditions, reached an average of 30 – 35 shoots/explant. After in vitro rooting, and transfer to soil, a number
of plantlets suitable for reintroduction in nature were produced
Citotossicità delle proteine inattivatrici dei ribosomi (RIPs) in sistemi eterologhi: meccanismi correlati all'apoptosi
No full textSplit and mill: User assisted height-field block decomposition for fabrication
No full textWe present here Split and Mill: an interactive system for the manual volume decomposition of free form shapes. Our primary purpose is to generate portions respecting the properties allowing to mill them with a 3-axis milling machine. We show that a manual decomposition is competitive with the automatic partitioning when the user is skilled enough. We, thus, think that our tool can be beneficial for the practitioners in the field, and we release it as free software
Mitigating Human Errors and Cognitive Bias for Human-AI Synergy in Cybersecurity
Full text linkCybersecurity advancements necessitate effective measures to combat rising and sophisticated threats. Artificial Intelligence (AI) and eXplainable AI (XAI) solutions have demonstrated significant capabilities in predicting and responding to cyber threats. Moreover, integrating AI components with Intelligent User Interfaces (IUI) has been explored as a promising approach, emphasizing user experience and interaction policies. Despite these advancements, the primary challenge remains addressing human errors, particularly those induced by cognitive biases. This paper provides an overview of possible recommendations on AI integration with cybersecurity systems and human cognitive bias mitigation solutions
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