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A Checklist to Assess Technologies for the Diagnosis and Rehabilitation of Geriatric Syndromes: A Delphi Study
No full textFlight-Safe Inference: SVD-Compressed LSTM Acceleration for Real-Time UAV Engine Monitoring Using Custom FPGA Hardware Architecture
No full textSpectra signature assessment in relation to CDWs quality using hyperspectral imaging in VIS-NIR range
No full textHyperspectral imaging (HSI) represents an advanced and versatile technique for the analysis and discrimination of materials based on their spectral signatures, allowing the composition and purity state of a sample to be non-destructively characterized. In this work, various materials (both virgin and recycled), also conditioned by contaminants, were evaluated to understand how the presence of sodium chlorides (NaCl), sodium sulfate (Na2SO4), and calcium sulfate (CaSO4) can influence their spectral response and the consequent possibility of distinguishing them from the corresponding ‘pure’ reference samples. The main objective was to establish an HSI-based investigation protocol capable of highlighting even minute variations in the purity of the materials analyzed, contributing to the development of more effective quality control procedures with a view to enhancing the valorization of such materials. During the analysis, hyperspectral images were acquired in a wavelength range from 402 to 998 nm (i.e., VIS-NIR range) suitable for capturing the spectral peculiarities of the materials considered, paying particular attention to the regions where contaminants are more evident. The results showed that using this type of technology it is possible to uniquely identify each contaminant, even in small percentages, and to quantify the impact that the addition of salts such as NaCl,Na2SO4, and CaSO4 exerts on the optical properties of the tested materials. Finally, the potential of HSI offers interesting prospects for the optimization of industrial processes, the verification of quality standards, and the research into innovative materials and circularity in the construction industry
A Delphi process to define medical reporting outcomes for urgent surgical pathways
No full textBackground: As the demand for high-quality healthcare grows, there is a pressing need for comprehensive methods to assess the quality of hospital care. Lack of standardization makes it difficult to compare urgent surgical outcomes across studies. Our group used a modified Delphi methodology to define the outcomes that should be reported or compared when evaluating urgent surgical care. Methods: This three-round Delphi process took place from May to October 2024. It was conducted with an international panel of medico-surgical experts from 16 countries. We aimed to select, based on a 2-level consensus assessment, reporting outcomes for urgent surgical pathways. Results: Initially, 87 items were classified under 8 headings. 26 outcomes were selected after the second Delphi round. A third round was required to validate 3 additional outcomes. Among the selected outcomes were in-hospital or 30-day mortality, 15 items addressing perioperative morbidity, as well as factors related to the patient journey: preoperative (surgical waiting time), intraoperative (surgical bleeding), and postoperative aspects (9 items selected). Notably, no items from the 'patient satisfaction' and 'medico-economics' headings were retained. Panelists deemed it essential to use multi-criteria outcomes (i.e., combining items from the 8 headings) to evaluate urgent surgical care pathways. Conclusions: A set of 29 relevant outcomes will help to develop a more comprehensive approach for urgent surgical care evaluation. It enables the development of new prioritization policies and a better study of outcomes for urgent surgeries. It is worth noting the lack of economic criteria and patient satisfaction measures
NGF, BDNF, and NO in Myopic Subjects: Relationships Between Aqueous Levels and Lens Epithelial Cells' Activation
No full textExperimental Analysis on the Effect of Contact Pressure, Activity Level, and Skin Tone as Influencing Factors in PPG Sensors Performance
No full textAt present photoplethysmographic (PPG) sensors are rapidly spreading thanks to their multiple advantages: they are small, economic, and they can provide information on multidomain quantities related to cardiovascular health. For these reasons, research in this field is very active. Nonetheless, the measurement accuracy of this type of sensor and the factors that can interfere with their metrological performance are often neglected. The contact pressure between sensor and skin, the level of the activity performed by the subject, and also her/his skin tone are some of the quantities needing attention. The aim of this paper is to compare the measurement accuracy of a PPG sensor in relation to both contact pressure (20,60, and 75 mmHg) and walking/running speed (3,6, and 8 km/h) - using a cardiac belt as gold standard. Moreover, preliminary tests on dark skin subjects are performed to evaluate also the impact of this factor. The results show that the best performance is given at 60 mmHg and the uncertainty increases with activity level (passing from 8.2 bpm to 28.2 bpm when speed passes from 3 to 8 km/h, coverage factor k=2). Furthermore, it can be noticed that darker skin tone deteriorates the signal quality, increasing the mean absolute percentage error to values above 10% for speeds above 3 km/h. Plus, by considering the subjective optimal contact pressure at each speed, it is possible to improve significantly the accuracy and to reduce the mean absolute percentage error for moderate speed (6 km/h) at 1.89 %, which is known to be acceptable also for a clinical use. These results can be useful for researchers and producers of PPG-based wearable sensors, catching up on innovations potentially improving the quality of the measurement results. This could open new possibilities in terms of applications and stakeholders. In future, different wavelengths could be explored to expand the technology applicability
La pedagogia sociale tra rigenerazione urbana, welfare culturale e comunità educante
No full textIl presente contributo muove dall’interesse che contraddistingue la pedagogia
sociale verso gli ambiti di intervento educativo nelle città, mettendo
al centro la persona ma al contempo considerando attentamente le caratteristiche
del contesto sociale e fisico, verso la comunità educante come
istanza pedagogica utopica e tuttavia quantomai necessaria per il presente.
Ben oltre gli interventi urbanistici e architettonici, la rigenerazione urbana
ha a che fare con il senso di appartenenza percepito ed esperito con il quartiere,
con il territorio, con le culture locali e con i bisogni di cura della persona.
A tal proposito, una pedagogia della città – interrogando la rigenerazione
educativa e il welfare urbano – possiede un profondo significato politico
sia nel senso della cura per le comunità nel presente, sia per la preparazione
di quelle figure professionali educative che in un futuro prossimo potrebbero
entrare a pieno titolo nella buona governance della città stessa
Construction and demolition waste material library based on vision systems data
No full textThe sustainable management of Construction and Demolition Wastes (CDWs) represents a crucial challenge for the European Union, considering that this wastes stream constitutes one of the main sources of man-made solid wastes. The implementation of strategies aimed at the recovery and recycling of these materials is essential to reduce the environmental impact of the construction sector and to foster the transition towards a circular economy model. However, one of the main obstacles for effective reuse and/or recycling of CDWs lies in the complexity of their composition, which includes a wide range of materials such as concrete, bricks, ceramics, metals, and wood, not rarely contaminated with harmful substances. In this context, this data article presents a comprehensive material library designed to collect, organise, and make available data from advanced material characterisation analyses based on vision systems data. Specifically, the library focuses on data obtained through two measurement techniques: infrared (IR) thermography and hyperspectral imaging (HSI). These methodologies were selected for their ability to provide complementary information on the chemical composition and physical properties of materials. The material library was developed as part of an in-depth study of CDW from building demolition and renovation operations in several EU countries. The data collection process included the preparation and analysis of representative samples, with the aim of ensuring maximum accuracy and reproducibility of the measurements. The data obtained were standardised and organised in a format compatible with the main statistical analysis and machine learning tools to facilitate their integration into predictive models and decision-making processes. The article describes in detail the library structure, data collection protocols, and practical applications in the fields of waste management and sustainable construction. In addition, the benefits of this resource for the scientific and industrial community are discussed, including the possibility of using the data to develop/fine-tune artificial intelligence (AI) algorithms capable of optimising sorting and recycling processes by recognition and discrimination among different types of CDW material using the aforementioned sensors. The material library represents a significant contribution to addressing the challenges posed by CDW management, promoting a more efficient use of resources and reducing the environmental impact of construction and demolition activities. This extensive database not only facilitates material characterisation and separation but also represents a solid basis for future technological innovation in the construction sector