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A hybrid light-AI-based framework for accessibility validation

Automated accessibility evaluation systems increasingly leverage large language models (LLMs) to assess conformance with established standards like the Web Content Accessibility Guidelines (WCAG). However, a fundamental methodological tension exists between the probabilistic, generalization-based nature of LLM inference and the deterministic, precisely scoped requirements of normative accessibility standards. A trustworthy, transparent, and accountable accessibility validation framework must ...

Personalizing Behavior Change Intervention with Cognitive Robotics: Stage Detection & Goal Reasoning

Behavior change intervention (BCI) is a goal-oriented process that focuses on guiding people toward making beneficial changes in their behavior, habits, and lifestyle. This paper introduces a cognitive robotics architecture for personalizing the behavioral change process based on state detection and the evaluation of the user's attitude to choose the most appropriate BCI intervention techniques. A preliminary experimentation is presented to study the relation between the BCI qualities self-aw...

Gold Nanoparticles from Grape Pomace Wastes: Cosmetic and Biomedical Applications

During the last decades, the demand of processes developed according to circular economy principles is progressively increasing. Among several aims, an alternative life for wastes as resources has been mainly considered as paradigm, due to the rapid industrialization and production of wastes of different typologies. For the purpose, a particular attention has been devoted towards food/agricultural wastes, as sustainable and renewable products. Indeed, many studies have been performed to p...

Chitosan-Based Sponges as Adsorbent Substrates for Water Remediation

Recently, the presence of Contaminants of Emerging Concern (CECs) and other pollutants, such as textile dyes, in the environment, particularly in water bodies, is representing a problem of global interest [1]. To face this issue, this work proposes the use of a material able to absorb pollutants from water with high efficiency. Specifically, by following the Circular Economy principles, the preparation of an adsorbent material using wastes coming from ichthyic and food agricultural industr...

Robustness Validation of a mm-Wave Model based on GRU Neural Networks for a GaN Power HEMT

Recently a GaN HEMT small-signal model based on gated recurrent unit (GRU) neural networks has been proposed and it has been proved that a very good accuracy can be achieved by using the developed modeling approach. However, as the GRU networks are recurrent networks, meaning that the previous states contribute to the current output, the aim of the work is to test and validate the behavior of the GaN HEMT model depending on the input order and history in order to derive the corresponding outc...

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