Archivio della ricerca - Fondazione Bruno Kessler
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Storie di gesuiti nell’Italia occupata. Con estratti dai diari di casa della Compagnia di Gesù (1943-1945)
No full textAnother Life: Palliative Virtual Reality for Experiencing the World Until the End
No full textImmersive virtual reality (VR) has emerged as a promising non-pharmacological intervention for symptom relief, yet evidence in PC settings remains limited. This study aims to evaluate the feasibility, acceptability, and preliminary effectiveness of immersive VR in alleviating physical and psychological symptoms among PC patients, and to assess user satisfaction and willingness to re-engage with the technology. This study employed a descriptive, observational design with pre- and post-intervention assessments using standardized questionnaires and patient-reported outcome measures (PROMs). It was conducted in 4 palliative care centers in Italy (Verona, Trieste, "Il Tulipano" Hospice, and "Bassini" Hospice in Milan) and involved 13 adult patients who were able to use a VR headset and independently complete the study questionnaires. PROMs were collected using the Edmonton Symptom Assessment System (ESAS), alongside ad hoc questionnaires designed to assess personal characteristics, expectations toward the intervention, usability, satisfaction, perceived symptom relief, and intention for future use. Participants reported high usability and satisfaction. The greatest improvements were observed in fatigue (mean reduction -1.7), drowsiness (-1.6), appetite (-1.4), depression, and anxiety (>1-point decrease). Overall well-being increased slightly (+0.5). No adverse effects were reported. Most patients expressed willingness to repeat the VR experience and considered it a meaningful addition to PC services. Individual responses varied. Immersive VR is a feasible, safe, and well-accepted intervention in PC, showing preliminary benefits for physical and psychological symptoms as well as overall well-being. Further research with larger samples, control groups, and long-term follow-up is warranted to confirm efficacy, optimize implementation, and assess integration within multidisciplinary PC programs
Open-Vocabulary Segmentation of Aerial Point Clouds
No full textThe growing diversity and dynamics of urban environments demand 3D semantic segmentation methods that can recognize a wide range of objects without relying on predefined classes or time-consuming labelled training data. As urban scenes evolve and application requirements vary across locations, flexible, annotation-free 3D segmentation methods are becoming increasingly desirable for large-scale 3D analytics. This work presents the first training-free, open-vocabulary (OV) method for 3D aerial point cloud classification and benchmarks it against state-of-the-art supervised 3D neural networks for the semantic enrichment of these geospatial data. The proposed approach leverages open-vocabulary object recognition in multiple 2D imagery and subsequently projects and refines these detections in 3D space, enabling semantic labelling without prior class definitions or annotated data. In contrast, the supervised baselines are trained on labelled datasets and restricted to a fixed set of object categories. We evaluate all methods with quantitative metrics and qualitative analysis, highlighting their respective strengths, limitations and suitability for scalable urban 3D mapping. By removing the dependency on annotated data and fixed taxonomies, this work represents a key step toward adaptive, scalable and semantic understanding of 3D urban environments
Electronic Olfaction and Advanced Gas Sensing for Exposomics: Classification of Human Biosamples from Different Geographic Areas
No full textThis study investigates the potential of electronic olfaction technology and advanced gas sensors as novel tools for digital fingerprinting of the human volatilome in biomonitoring applications. The SPYROX e-nose, enhanced with a hardware add-on to enrich sensors’ responses, is adopted for the direct assessment of biological exposure. Guided by the exposome concept, the experimental approach aims to the classification of urine samples from healthy young subjects residing in two areas of Southern Italy with contrasting environmental conditions (high vs. low pollution). The promising classification accuracy of 83% demonstrates that a low-cost, portable, and easy-to-use device serves as an effective solution for analyzing complex biological samples. This highlights the potential of the SPYROX e-nose to complement traditional biomonitoring methods, identify at-risk populations, and support public health interventions by linking environmental conditions to molecular health indicators
Scale-free points-of-interest distribution in a city emerging from homogeneous Poissonian-point processes
No full textAdvanced intrapartum midwifery practice: a scoping review
No full textProblem: There is no international consensus on advanced midwifery practice in intrapartum care. Background: Evidence suggests that advanced practice midwives improve maternal and neonatal clinical outcomes, access to care, resource efficiency and staff satisfaction. However, specific literature on advanced midwifery skills in intrapartum care is lacking. Aim: To map advanced midwifery skills in intrapartum care. Methods: A scoping review was conducted using electronic databases including Medline, Scopus, CINAHL, Cochrane Library, Google from inception to April 2022, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. Findings: A systematic search of the literature identified 6932 studies, and 17 met inclusion criteria. The advanced intrapartum skills identified relate to perineal care, instrumental vaginal birth, breech vaginal birth, perineal repair, cesarean section, emergencies procedures, intrapartum ultrasound, counseling and mediation, labour techniques, advanced clinical assessment, intangible skills, external cephalic version. Discussion: Two main trends emerge: the skills practiced in midwifery-led units are oriented to promote and respect the physiology of childbirth and, in more under-resourced contexts, the development of midwifery follows an overlapping path with that of medical skills. The advancement of intrapartum practice involves the exercise of technological and emotional skills. The practice of counseling skills contributes to the professional development of the whole team. Conclusion: This review suggests the need to develop advanced skills in the area of birth physiology through the promotion of organisational models such as midwifery-led units. It is important to focus on how advanced profiles can be implemented and how advancement in practice affects maternal and neonatal outcomes
Investigating the timing behavior of compton scattering in BGO for time-of-flight PET
No full text: Objective. Bismuth germanate (BGO) has regained attention as a promising material for hybrid Cherenkov/scintillation time-of-flight positron emission tomography (TOF-PET). While excellent timing performance has been demonstrated in single-crystal studies using prompt Cherenkov photons, practical pixelated detector modules introduce appreciable inter-crystal scattering (InterCS) events that can degrade timing accuracy. The objective of this work was to experimentally investigate the impact ofInterCSon Cherenkov-based timing in pixelated BGO detectors and to identify optimal timestamp selection strategies.Approach. A dual-pixel BGO detector was constructed and coupled to a segmented SiPM readout to enable spatially resolved energy and timing measurements. Events were classified into full-energy deposition (FED); primary crystal 511 keV absorption),InterCS, andpenetrationcategories using energy-weighted positioning. This experimental classification was validated using GATE simulations, which further revealed that intra-crystal scattering (IntraCS) accounted for more than 25% of the events experimentally classified asFED. Multiple timestamp selection strategies were evaluated, and prompt photon statistics were quantified by integrating the first 1 ns of the timing waveform.Main results. ForInterCSevents, selecting the earlier of the two timestamps yielded a coincidence timing resolution of 221 ps FWHM (831 ps FWTM) measured in coincidence with a LYSO:(Ce, Mg) reference detector, compared to 184 ps FWHM (603 ps FWTM) forFEDevents. Energy-based timestamp selection was found to be suboptimal. Prompt photon analysis showed a measurable reduction in early photon yield forInterCSevents, with an average of 4.73 detected photons in the first 1 ns, compared to 5.76 forFEDevents.Significance. these results demonstrate thatInterCSintroduces systematic timing degradation in pixelated BGO Cherenkov TOF-PET detectors through energy redistribution and reduced prompt photon statistics. The findings highlight the necessity of time-aware, per-pixel timestamp selection strategies to preserve optimal timing performance in realistic BGO-based TOF-PET systems operating in the presence of Compton scattering
Sharpening Kubernetes Audit Logs with Context Awareness
No full textKubernetes (K8s) has emerged as the de facto orchestrator of microservices, providing scalability and extensibility to a highly dynamic environment. It builds an intricate and deeply connected system that requires extensive monitoring capabilities to be properly managed. To this account, K8s natively offers audit logs, a powerful feature for tracking Application Programming Interface (API) interactions in the cluster. Audit logs provide a detailed and chronological record of all activities in the system. Unfortunately, K8s auditing suffers from several practical limitations: it generates large volumes of data continuously, as all components within the cluster interact and respond to user actions. Moreover, each action can trigger a cascade of secondary events dispersed across the log, with little to no explicit linkage, making it difficult to reconstruct the context behind user-initiated operations.
In this paper, we introduce K8NTEXT, a novel approach for streamlining K8s audit logs by reconstructing contexts, i.e., grouping actions performed by actors on the cluster with the subsequent events these actions cause. Correlated API calls are automatically identified, labeled, and consistently grouped using a combination of inference rules and a Machine Learning (ML) model, largely simplifying data consumption. We evaluate K8NTEXT’s performance, scalability, and expressiveness both in systematic tests and with a series of use cases. We show that it consistently provides accurate context reconstruction, even for complex operations involving 50, 100 or more correlated actions, achieving over 95% accuracy across the entire spectrum, from simple to highly composite actions
Design and analysis of dielectrically modulated source pocket TFET based biosensor
No full textIn this paper we have presented and simulated a Dielectric Modulated Source Pocket (DMSP) TFET-Based Label-Free Biosensor for better Sensitivity and performance. Incorporating a SiGe pocket in between Source and Channel which helps to improve tunneling efficiency and improving the Ion current. The high K dielectric material HfO2 is used at the gate stack to reduce the leakage currents and induces the negative capacitance behavior resulting the better Sensitivity and Improved Subthreshold swing (SS). The Proposed biosensor is analyzed in Atlas Silvaco TCAD through simulations by considering key performance metrics such as Ion current, Ioff current, Ion/IoffRatio Sensitivity. The proposed Biosensor is capable of detecting various Biomolecules such as Streptavidin (2.1) 3 Aminopropyltriethoxysilane (APTES) (K = 3.57) Keratin (K = 8) BactriophageT7 (K = 6.3) and Gelatin (K = 12) and also shows the betterSensitivity in both charged and Neutral Biomolecules. The sensing ability of the device can be significantly improved by optimizing the cavity height and length. This device efficiently manages the characteristics of tunneling and improves the detection capability. The Sensitivity of the device has obtained results 1 .91 × 103, 6.81 × 104, 1.21 × 102 for Neutral, Positive and Negative charged Biomolecules. These results demonstrates that the proposed biosensor is capable for highly sensitive and accurate detection of various Biomolecules
