3,070 results on '"Nunnari, A."'
Search Results
2. Avatar Visual Similarity for Social HCI: Increasing Self-Awareness
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Hilpert, Bernhard, da Silva, Claudio Alves, Christidis, Leon, Bhuvaneshwara, Chirag, Gebhard, Patrick, Nunnari, Fabrizio, and Tsovaltzi, Dimitra
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Computer Science - Human-Computer Interaction ,Computer Science - Artificial Intelligence - Abstract
Self-awareness is a critical factor in social human-human interaction and, hence, in social HCI interaction. Increasing self-awareness through mirrors or video recordings is common in face-to-face trainings, since it influences antecedents of self-awareness like explicit identification and implicit affective identification (affinity). However, increasing self-awareness has been scarcely examined in virtual trainings with virtual avatars, which allow for adjusting the similarity, e.g. to avoid negative effects of self-consciousness. Automatic visual similarity in avatars is an open issue related to high costs. It is important to understand which features need to be manipulated and which degree of similarity is necessary for self-awareness to leverage the added value of using avatars for self-awareness. This article examines the relationship between avatar visual similarity and increasing self-awareness in virtual training environments. We define visual similarity based on perceptually important facial features for human-human identification and develop a theory-based methodology to systematically manipulate visual similarity of virtual avatars and support self-awareness. Three personalized versions of virtual avatars with varying degrees of visual similarity to participants were created (weak, medium and strong facial features manipulation). In a within-subject study (N=33), we tested effects of degree of similarity on perceived similarity, explicit identification and implicit affective identification (affinity). Results show significant differences between the weak similarity manipulation, and both the strong manipulation and the random avatar for all three antecedents of self-awareness. An increasing degree of avatar visual similarity influences antecedents of self-awareness in virtual environments.
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- 2024
3. ReNeLiB: Real-time Neural Listening Behavior Generation for Socially Interactive Agents
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Don, Daksitha Withanage, Müller, Philipp, Nunnari, Fabrizio, André, Elisabeth, and Gebhard, Patrick
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Computer Science - Human-Computer Interaction - Abstract
Flexible and natural nonverbal reactions to human behavior remain a challenge for socially interactive agents (SIAs) that are predominantly animated using hand-crafted rules. While recently proposed machine learning based approaches to conversational behavior generation are a promising way to address this challenge, they have not yet been employed in SIAs. The primary reason for this is the lack of a software toolkit integrating such approaches with SIA frameworks that conforms to the challenging real-time requirements of human-agent interaction scenarios. In our work, we for the first time present such a toolkit consisting of three main components: (1) real-time feature extraction capturing multi-modal social cues from the user; (2) behavior generation based on a recent state-of-the-art neural network approach; (3) visualization of the generated behavior supporting both FLAME-based and Apple ARKit-based interactive agents. We comprehensively evaluate the real-time performance of the whole framework and its components. In addition, we introduce pre-trained behavioral generation models derived from psychotherapy sessions for domain-specific listening behaviors. Our software toolkit, pivotal for deploying and assessing SIAs' listening behavior in real-time, is publicly available. Resources, including code, behavioural multi-modal features extracted from therapeutic interactions, are hosted at https://daksitha.github.io/ReNeLib, Comment: 8 pages, 11 figures, ICMI conference, project page https://daksitha.github.io/ReNeLib/
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- 2024
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4. A Walk on the Retrograde Side (WRS) project. I. Tidying-up the retrograde halo with high-resolution spectroscopy
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Ceccarelli, E., Massari, D., Mucciarelli, A., Bellazzini, M., Nunnari, A., Cusano, F., Lardo, C., Romano, D., Ilyin, I., and Stokholm, A.
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Astrophysics - Astrophysics of Galaxies ,Astrophysics - Solar and Stellar Astrophysics - Abstract
Relics of ancient accretion events experienced by the Milky Way are predominantly located within the stellar halo of our Galaxy. However, debris from different objects display overlapping distributions in dynamical spaces, making it extremely challenging to properly disentangle their contribution to the build-up of the Galaxy. To shed light on this chaotic context, we started a program aimed at the homogeneous chemical tagging of the local halo of the Milky Way, focusing on the component in retrograde motion, since this is expected to host a large fraction of stars accreted from past mergers. The A Walk on the Retrograde Side (WRS) project targets retrograde halo stars in the Solar Neighborhood having accurate $6$-D phase space information available, measuring the precise chemical abundance of several chemical elements from high-resolution spectroscopy. In this first paper, we present the project and the analysis of high-resolution spectra obtained with UVES at VLT and PEPSI at LBT for $186$ stars. Accurate radial velocity and chemical abundance of several elements have been obtained for all the target stars. In particular we focus on the chemical composition of a specific subset of substructures identified dynamically in the literature. Our study reveals that two among the more recently discovered structures in the retrograde halo, namely Antaeus / L-RL$64$ and ED-$3$, have identical chemical patterns and similar integrals of motion, suggesting a common origin. In turn, the abundance patterns of this unified system differ from that of Gaia-Enceladus, confirming that it is an independent structure. Finally, Sequoia exhibits a different chemistry with respect to that of Gaia-Enceladus at $\mathrm{[Fe/H]} < -1.5$ dex, showcasing an excess of stars with lower Mg and Ca in the common metallicity range., Comment: 21 pages, 17 figures, accepted for publication in A&A
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- 2024
5. Assessing ChatGPT’s Potential in HIV Prevention Communication: A Comprehensive Evaluation of Accuracy, Completeness, and Inclusivity
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De Vito, Andrea, Colpani, Agnese, Moi, Giulia, Babudieri, Sergio, Calcagno, Andrea, Calvino, Valeria, Ceccarelli, Manuela, Colpani, Gianmaria, d’Ettorre, Gabriella, Di Biagio, Antonio, Farinella, Massimo, Falaguasta, Marco, Focà, Emanuele, Giupponi, Giusi, Habed, Adriano José, Isenia, Wigbertson Julian, Lo Caputo, Sergio, Marchetti, Giulia, Modesti, Luca, Mussini, Cristina, Nunnari, Giuseppe, Rusconi, Stefano, Russo, Daria, Saracino, Annalisa, Serra, Pier Andrea, and Madeddu, Giordano
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- 2024
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6. Assessing ChatGPT’s theoretical knowledge and prescriptive accuracy in bacterial infections: a comparative study with infectious diseases residents and specialists
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De Vito, Andrea, Geremia, Nicholas, Marino, Andrea, Bavaro, Davide Fiore, Caruana, Giorgia, Meschiari, Marianna, Colpani, Agnese, Mazzitelli, Maria, Scaglione, Vincenzo, Venanzi Rullo, Emmanuele, Fiore, Vito, Fois, Marco, Campanella, Edoardo, Pistarà, Eugenia, Faltoni, Matteo, Nunnari, Giuseppe, Cattelan, Annamaria, Mussini, Cristina, Bartoletti, Michele, Vaira, Luigi Angelo, and Madeddu, Giordano
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- 2024
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7. Atherosclerosis and Cardiovascular Complications in People Living with HIV: A Focused Review
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Michele Salvatore Paternò Raddusa, Andrea Marino, Benedetto Maurizio Celesia, Serena Spampinato, Carmen Giarratana, Emmanuele Venanzi Rullo, Bruno Cacopardo, and Giuseppe Nunnari
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HIV ,HIV and cardiovascular diseases ,AIDS ,HIV comorbidities ,non-AIDS-related comorbidities ,Other systems of medicine ,RZ201-999 - Abstract
The intersection of Human Immunodeficiency Virus (HIV) infection and cardiovascular disease (CVD) represents a significant area of concern; advancements in antiretroviral therapy (ART) have notably extended the life expectancy of people living with HIV (PLWH), concurrently elevating the prevalence of chronic conditions such as CVD. This paper explores the multifaceted relationship between HIV infection, ART, and cardiovascular health, focusing on the mechanisms by which HIV and ART contribute to increased cardiovascular risk, including the promotion of endothelial dysfunction, inflammation, immune activation, and metabolic disturbances. We highlight the critical roles of HIV-associated proteins—Tat, Nef, and gp120—in accelerating atherosclerosis through direct and indirect pathways that exacerbate endothelial damage and inflammation. Additionally, we address the persistent challenge of chronic inflammation and immune activation in PLWH, factors that are strongly predictive of non-AIDS-related diseases, including CVD, even in the context of effective viral suppression. The impact of ART on cardiovascular risk is examined, with particular attention to the metabolic implications of specific ART regimens, which can influence lipid profiles and body composition, thereby modifying CVD risk. The therapeutic potential of statins, aspirin, and emerging treatments such as PCSK9 inhibitors in mitigating cardiovascular morbidity and mortality among PLWH is discussed, alongside considerations for their use in conjunction with ART. Our review underscores the necessity for a comprehensive, multidisciplinary approach to cardiovascular care in PLWH, which integrates vigilant cardiovascular risk assessment and management with HIV treatment. As we navigate the evolving landscape of HIV care, the goal remains to optimize treatment outcomes while minimizing cardiovascular risk, ensuring that the gains in longevity afforded by ART translate into improved overall health and quality of life for PLWH.
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- 2024
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8. Fine-tuning of explainable CNNs for skin lesion classification based on dermatologists' feedback towards increasing trust
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Kadir, Md Abdul, Nunnari, Fabrizio, and Sonntag, Daniel
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Computer Science - Computer Vision and Pattern Recognition - Abstract
In this paper, we propose a CNN fine-tuning method which enables users to give simultaneous feedback on two outputs: the classification itself and the visual explanation for the classification. We present the effect of this feedback strategy in a skin lesion classification task and measure how CNNs react to the two types of user feedback. To implement this approach, we propose a novel CNN architecture that integrates the Grad-CAM technique for explaining the model's decision in the training loop. Using simulated user feedback, we found that fine-tuning our model on both classification and explanation improves visual explanation while preserving classification accuracy, thus potentially increasing the trust of users in using CNN-based skin lesion classifiers.
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- 2023
9. The Global Burden of Sepsis and Septic Shock
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Luigi La Via, Giuseppe Sangiorgio, Stefania Stefani, Andrea Marino, Giuseppe Nunnari, Salvatore Cocuzza, Ignazio La Mantia, Bruno Cacopardo, Stefano Stracquadanio, Serena Spampinato, Salvatore Lavalle, and Antonino Maniaci
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sepsis ,septic shock ,global burden ,epidemiology ,risk factors ,Internal medicine ,RC31-1245 - Abstract
A dysregulated host response to infection causes organ dysfunction in sepsis and septic shock, two potentially fatal diseases. They continue to be major worldwide health burdens with high rates of morbidity and mortality despite advancements in medical care. The goal of this thorough review was to present a thorough summary of the current body of knowledge about the prevalence of sepsis and septic shock worldwide. Using widely used computerized databases, a comprehensive search of the literature was carried out, and relevant studies were chosen in accordance with predetermined inclusion and exclusion criteria. A narrative technique was used to synthesize the data that were retrieved. The review’s conclusions show how widely different locations and nations differ in terms of sepsis and septic shock’s incidence, prevalence, and fatality rates. Compared to high-income countries (HICs), low- and middle-income countries (LMICs) are disproportionately burdened more heavily. We talk about risk factors, comorbidities, and difficulties in clinical management and diagnosis in a range of healthcare settings. The review highlights the need for more research, enhanced awareness, and context-specific interventions in order to successfully address the global burden of sepsis and septic shock.
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- 2024
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10. SARS-CoV-2-Related Parotitis in Children: A Narrative-Focused Review
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Andrea Marino, Giovanni Cacciaguerra, Giuseppe Sangiorgio, Antonino Maniaci, Luigi La Via, Salvatore Cocuzza, Stefano Stracquadanio, Roberta Leonardi, Serena Spampinato, Bruno Cacopardo, Piero Pavone, and Giuseppe Nunnari
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SARS-CoV-2 ,parotitis ,pediatrics ,SARS-CoV-2 parotitis ,atypical COVID-19 ,COVID-19 in children ,Specialties of internal medicine ,RC581-951 - Abstract
The COVID-19 pandemic has revealed a diverse spectrum of clinical manifestations in the pediatric population, including the rare but notable presentation of unilateral parotitis. This comprehensive review explores the complexities surrounding SARS-CoV-2-associated unilateral parotitis in children. It addresses the initial clinical presentation, diagnostic challenges, treatment strategies, and the wider epidemiological impacts of this unusual symptom. The review synthesizes the available literature, providing insights into the pathophysiological mechanisms underlying this atypical manifestation and its implications for pediatric healthcare during the pandemic. Through the rigorous analysis of reported cases, this study underscores the need for increased awareness and a broad differential diagnosis among clinicians. It also emphasizes the importance of continued research to delineate the full clinical spectrum of COVID-19 in children.
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- 2024
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11. Towards social embodied cobots: The integration of an industrial cobot with a social virtual agent
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Nicora, Matteo Lavit, Beyrodt, Sebastian, Tsovaltzi, Dimitra, Nunnari, Fabrizio, Gebhard, Patrick, and Malosio, Matteo
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Computer Science - Robotics - Abstract
The integration of the physical capabilities of an industrial collaborative robot with a social virtual character may represent a viable solution to enhance the workers' perception of the system as an embodied social entity and increase social engagement and well-being at the workplace. An online study was setup using prerecorded video interactions in order to pilot potential advantages of different embodied configurations of the cobot-avatar system in terms of perceptions of Social Presence, cobot-avatar Unity and Social Role of the system, and explore the relation of these. In particular, two different configurations were explored and compared: the virtual character was displayed either on a tablet strapped onto the base of the cobot or on a large TV screen positioned at the back of the workcell. The results imply that participants showed no clear preference based on the constructs, and both configurations fulfill these basic criteria. In terms of the relations between the constructs, there were strong correlations between perception of Social Presence, Unity and Social Role (Collegiality). This gives a valuable insight into the role of these constructs in the perception of cobots as embodied social entities, and towards building cobots that support well-being at the workplace.
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- 2023
12. DGS-Fabeln-1: A Multi-Angle Parallel Corpus of Fairy Tales between German Sign Language and German Text.
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Fabrizio Nunnari, Eleftherios Avramidis, Cristina España-Bonet, Marco González, Anna Hennes, and Patrick Gebhard
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- 2024
13. Design of a Portable Water Pollutants Detector Exploiting ML Techniques Suitable for IoT Devices Integration
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Fotia, Antonio, Macheda, Antonella, Sebti, Mohamed Riad, Nunnari, Chiara, Merenda, Massimo, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Bellotti, Francesco, editor, Grammatikakis, Miltos D., editor, Mansour, Ali, editor, Ruo Roch, Massimo, editor, Seepold, Ralf, editor, Solanas, Agusti, editor, and Berta, Riccardo, editor
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- 2024
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14. Exploring Convolutional Neural Networks for the Thermal Image Classification of Volcanic Activity
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Giuseppe Nunnari and Sonia Calvari
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CNN ,classification ,transfer learning ,monitoring ,images ,volcanic areas ,Geology ,QE1-996.5 - Abstract
This paper addresses the classification of images depicting the eruptive activity of Mount Etna, captured by a network of ground-based thermal cameras. The proposed approach utilizes Convolutional Neural Networks (CNNs), focusing on pretrained models. Eight popular pretrained neural networks underwent systematic evaluation, revealing their effectiveness in addressing the classification problem. The experimental results demonstrated that, following a retraining phase with a limited dataset, specific networks such as VGG-16 and AlexNet, achieved an impressive total accuracy of approximately 90%. Notably, VGG-16 and AlexNet emerged as practical choices, exhibiting individual class accuracies exceeding 90%. The case study emphasized the pivotal role of transfer learning, as attempts to solve the classification problem without pretrained networks resulted in unsatisfactory outcomes.
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- 2024
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15. Urea/Creatinine Ratio’s Correlation with Creatine Kinase Normalization in Pediatric COVID-19 Patients with Myositis: Evaluating Prognostic and Predictive Value
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Francesco Pizzo, Andrea Marino, Alessandra Di Nora, Serena Spampinato, Giovanni Cacciaguerra, Giuseppe Costanza, Federica Scarlata, Arturo Biasco, Maria Chiara Consentino, Riccardo Lubrano, Bruno Cacopardo, Giuseppe Nunnari, Martino Ruggieri, and Piero Pavone
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SARS-CoV-2 infection ,pediatric COVID-19 ,COVID-19 myositis ,COVID-19 myolysis ,Other systems of medicine ,RZ201-999 - Abstract
Coronavirus disease 2019 (COVID-19) has been chiefly linked with substantial respiratory complications. However, emerging studies have brought attention to the occurrence of severe muscle inflammation (myositis) related to COVID-19, potentially leading to multi-organ failure and increased mortality. Myositis is generally characterized by heightened serum creatine kinase (CK) levels. Acute myositis is characterized by an infiltration of viruses into calf muscle fibers, which may cause a subsequent inflammatory response leading to calf muscle pain. Symptomatic and supportive management, along with explanation and reassurance, is all that is required in managing this condition. While the association between myositis and severe outcomes has been recognized in adults, it remains less understood in the pediatric population. The current retrospective study, conducted at Policlinico San Marco University Hospital in Catania, aimed to analyze clinical and laboratory factors associated with myositis in pediatric patients with SARS-CoV-2 infection. Between January 2022 and January 2023, ten pediatric patients diagnosed with myositis and SARS-CoV-2 infection were evaluated. The study highlighted clinical manifestations such as fever, calf muscle pain, and abnormal gait. Lab results showed elevated CK levels among other findings. All patients underwent treatment, with the majority recovering without complications. A notable correlation was observed between CK levels, blood urea nitrogen (BUN), and the urea/creatinine ratio (UCR). The study also discusses potential pathophysiological mechanisms behind SARS-CoV-2’s impact on skeletal muscles, emphasizing an indirect inflammatory response. Our findings underscore that while myositis in children with SARS-CoV-2 infection appears to follow a benign and self-limiting trajectory, it is crucial to monitor specific markers for early intervention and management. Further research is warranted to elucidate the underlying mechanisms and improve clinical outcomes.
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- 2023
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16. Reawakening of Voragine, the Oldest of Etna’s Summit Craters: Insights from a Recurrent Episodic Eruptive Behavior
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Sonia Calvari and Giuseppe Nunnari
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Etna volcano ,paroxysmal explosions ,lava fountaining ,erupted volume ,pyroclastics ,Voragine crater ,Science - Abstract
Paroxysmal explosive activity at Etna volcano (Italy) has become quite frequent over the last three decades, raising concerns with the civil protection authorities due to its significant impact on the local population, infrastructures, viability and air traffic. Between 4 July and 15 August 2024, during the tourist season peak when the local population doubles, Etna volcano gave rise to a sequence of six paroxysmal explosive events from the summit crater named Voragine. This is the oldest and largest of Etna’s four summit craters and normally only produces degassing, with the previous explosive sequences occurring in December 2015 and May 2016. In this paper, we use thermal images recorded by the monitoring system maintained by the Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo (INGV–OE), and an automatic procedure previously tested in order to automatically define the eruptive parameters of the six lava fountain episodes. These data allowed us to infer the eruptive processes and gain some insights on the evolution of the explosive sequences that are useful for hazard assessment. Specifically, our results lead to the hypothesis that the Voragine shallow storage has a capacity of ~12–15 Mm3, which was not completely emptied with the last two paroxysmal events. It is thus possible that one or two additional explosive paroxysmal events could occur in the future. It is noteworthy that an additional paroxysmal episode occurred at Voragine on 10 November 2024, after the submission of this paper, thus confirming our hypothesis.
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- 2024
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17. Viro-Immunological Efficacy and Safety of Bictegravir/Emtricitabine/Tenofovir Alafenamide among Women Living with HIV: A 96-Week Post-Switch Analysis from the Real-Life SHiNe-SHiC Cohort
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Agnese Colpani, Andrea De Vito, Andrea Marino, Manuela Ceccarelli, Benedetto Maurizio Celesia, Giuseppe Nicolò Conti, Serena Spampinato, Giulia Moi, Emmanuele Venanzi Rullo, Giovanni Francesco Pellicanò, Sonia Agata Sofia, Grazia Pantò, Carmelo Iacobello, Chiara Maria Frasca, Arturo Montineri, Antonio Albanese, Goffredo Angioni, Bruno Cacopardo, Giordano Madeddu, Giuseppe Nunnari, and on behalf of Sardinian HIV Network and Sicilian HIV Cohort (SHiNe-SHiC) Research Group
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HIV ,bictegravir ,AIDS ,WLWH ,women and HIV ,TAF ,Biology (General) ,QH301-705.5 - Abstract
Background/Objectives: Out of 39.9 million adults living with HIV in 2022, 20 million were women. Despite bearing a significant burden, women remain underrepresented in clinical trials, including those for antiretroviral treatments (ART). This study evaluates the safety and efficacy of the bictegravir/emtricitabine/tenofovir alafenamide (B/F/TAF) regimen in a real-life cohort of 99 women with HIV (females with HIV, FWH) over 48 and 96 weeks. Methods: A retrospective cohort study utilized data from the Sardinian HIV Network and Sicilian HIV Cohort (SHiNe-SHiC) research group. The study included FWH, who started B/F/TAF as a treatment switch. The primary objectives were achieving and maintaining an HIV RNA level of Results: Among the 99 FWH, the median age was 51.9 years, and the median duration of HIV was 15.1 years. At baseline, 80.8% had undetectable HIV-RNA, which increased to 93.8% at 96 weeks. There was a statistically significant increase in CD4 cells/mL (48w p < 0.001, 96w p < 0.001) and CD4/CD8 ratio (48w p < 0.009, 96w p < 0.048), and reductions in total cholesterol (48w p < 0.003, 96w p < 0.006) and LDL (48w p < 0.004, 96w p < 0.009) levels at 48 and 96 weeks. Nine treatment interruptions were noted, with one due to adverse events. The regimen was well-tolerated overall. Conclusions: B/F/TAF demonstrated high efficacy and safety in this real-world cohort of FWH, highlighting the critical need for gender-focused research in HIV treatment. Ensuring equitable access to effective treatment options for women is imperative for the global health community’s efforts to eliminate HIV.
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- 2024
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18. Think Vibrio, Think Rare: Non-O1-Non-O139- Vibrio cholerae Bacteremia in Advanced Lung Cancer—A Case Report
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Andrea Marino, Bruno Cacopardo, Laura Villa, Adriana D’Emilio, Salvatore Piro, and Giuseppe Nunnari
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Vibrio cholerae ,non-toxigenic Vibrio cholerae ,non-O1 ,non-O139 ,cholera ,cholera bacteremia ,Medicine - Abstract
Vibrio cholerae, a Gram-negative bacterium, is widely known as the cause of cholera, an acute diarrheal disease. While only certain strains are capable of causing cholera, non-O1/non-O139 V. cholerae strains (NOVC) can lead to non-pathogenic colonization or mild illnesses such as gastroenteritis. In immunocompromised patients, however, NOVC can cause severe infections, including rare cases of bacteremia, especially in those with underlying conditions like liver disease, hematologic disorders, and malignancies. This case report presents a rare instance of NOVC bacteremia in a 71-year-old patient with advanced lung cancer, illustrating the clinical presentation, diagnostic challenges, and treatment interventions required. The patient presented with fever, asthenia, and confusion, and was found to have bacteremia caused by NOVC, confirmed through blood cultures and molecular analysis. Treatment with intravenous ceftriaxone and ciprofloxacin led to a rapid clinical improvement and resolution of the infection. This case, along with an overview of similar incidents, underscores the importance of considering NOVC in differential diagnoses for immunocompromised patients presenting with fever, and highlights the necessity of timely diagnosis and targeted antimicrobial therapy to achieve favorable outcomes.
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- 2024
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19. Machine Learning Applications in Volcanology and Seismology
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Hajian, Alireza, Nunnari, Giuseppe, Kimiaefar, Roohollah, Nemeth, Karoly, Series Editor, Hajian, Alireza, Nunnari, Giuseppe, and Kimiaefar, Roohollah
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- 2023
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20. Application of Genetic Algorithm in Volcanology and Seismology
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Hajian, Alireza, Nunnari, Giuseppe, Kimiaefar, Roohollah, Nemeth, Karoly, Series Editor, Hajian, Alireza, Nunnari, Giuseppe, and Kimiaefar, Roohollah
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- 2023
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21. Deep Learning: Applications in Seismology and Volcanology
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Hajian, Alireza, Nunnari, Giuseppe, Kimiaefar, Roohollah, Nemeth, Karoly, Series Editor, Hajian, Alireza, Nunnari, Giuseppe, and Kimiaefar, Roohollah
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- 2023
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22. Intelligent Methods and Motivations to Use in Volcanology and Seismology
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Hajian, Alireza, Nunnari, Giuseppe, Kimiaefar, Roohollah, Nemeth, Karoly, Series Editor, Hajian, Alireza, Nunnari, Giuseppe, and Kimiaefar, Roohollah
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- 2023
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23. Evolutionary Algorithms with Focus on Genetic Algorithm
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Hajian, Alireza, Nunnari, Giuseppe, Kimiaefar, Roohollah, Nemeth, Karoly, Series Editor, Hajian, Alireza, Nunnari, Giuseppe, and Kimiaefar, Roohollah
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- 2023
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24. Deep Learning: The Concepts
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Hajian, Alireza, Nunnari, Giuseppe, Kimiaefar, Roohollah, Nemeth, Karoly, Series Editor, Hajian, Alireza, Nunnari, Giuseppe, and Kimiaefar, Roohollah
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- 2023
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25. Machine Learning: The Concepts
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Hajian, Alireza, Nunnari, Giuseppe, Kimiaefar, Roohollah, Nemeth, Karoly, Series Editor, Hajian, Alireza, Nunnari, Giuseppe, and Kimiaefar, Roohollah
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- 2023
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26. Mitochondria at the crossroads of health and disease
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Suomalainen, Anu and Nunnari, Jodi
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- 2024
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27. Minimizing false negative rate in melanoma detection and providing insight into the causes of classification
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Somfai, Ellák, Baffy, Benjámin, Fenech, Kristian, Guo, Changlu, Hosszú, Rita, Korózs, Dorina, Nunnari, Fabrizio, Pólik, Marcell, Sonntag, Daniel, Ulbert, Attila, and Lőrincz, András
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning ,Electrical Engineering and Systems Science - Image and Video Processing ,I.4.9 ,J.3 - Abstract
Our goal is to bridge human and machine intelligence in melanoma detection. We develop a classification system exploiting a combination of visual pre-processing, deep learning, and ensembling for providing explanations to experts and to minimize false negative rate while maintaining high accuracy in melanoma detection. Source images are first automatically segmented using a U-net CNN. The result of the segmentation is then used to extract image sub-areas and specific parameters relevant in human evaluation, namely center, border, and asymmetry measures. These data are then processed by tailored neural networks which include structure searching algorithms. Partial results are then ensembled by a committee machine. Our evaluation on the largest skin lesion dataset which is publicly available today, ISIC-2019, shows improvement in all evaluated metrics over a baseline using the original images only. We also showed that indicative scores computed by the feature classifiers can provide useful insight into the various features on which the decision can be based., Comment: supplementary materials included
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- 2021
28. Design of a Portable Water Pollutants Detector Exploiting ML Techniques Suitable for IoT Devices Integration.
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Antonio Fotia, Antonella Macheda, Mohamed Riad Sebti, Chiara Nunnari, and Massimo Merenda
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- 2023
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29. Socially Interactive Agents as Cobot Avatars: Developing a Model to Support Flow Experiences and Weil-Being in the Workplace.
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Sebastian Beyrodt, Matteo Lavit Nicora, Fabrizio Nunnari, Lara Chehayeb, Pooja Prajod, Tanja Schneeberger, Elisabeth André, Matteo Malosio, Patrick Gebhard, and Dimitra Tsovaltzi
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- 2023
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30. Understanding and mapping pleasure, arousal and dominance social signals to robot-avatar behavior.
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Fabrizio Nunnari, Matteo Lavit Nicora, Pooja Prajod, Sebastian Beyrodt, Lara Chehayeb, Elisabeth André, Patrick Gebhard, Matteo Malosio, and Dimitra Tsovaltzi
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- 2023
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31. Towards Incorporating 3D Space-Awareness Into an Augmented Reality Sign Language Interpreter.
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Fabrizio Nunnari, Eleftherios Avramidis, Vemburaj Yadav, Alain Pagani, Yasser Hamidullah, Sepideh Mollanorozy, Cristina España-Bonet, Emil Woop, and Patrick Gebhard
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- 2023
- Full Text
- View/download PDF
32. Automatic Alignment Between Sign Language Videos And Motion Capture Data: A Motion Energy-Based Approach.
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Fabrizio Nunnari, Mina Ameli, and Shailesh Mishra
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- 2023
- Full Text
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33. Augmenting Glosses with Geometrical Inflection Parameters for the Animation of Sign Language Avatars.
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Fabrizio Nunnari, Shailesh Mishra, and Patrick Gebhard
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- 2023
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- View/download PDF
34. ReNeLiB: Real-time Neural Listening Behavior Generation for Socially Interactive Agents.
- Author
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Daksitha Senel Withanage Don, Philipp Müller 0001, Fabrizio Nunnari, Elisabeth André, and Patrick Gebhard
- Published
- 2023
- Full Text
- View/download PDF
35. Look What I Made It Do - The ModelIT Method for Manually Modeling Nonverbal Behavior of Socially Interactive Agents.
- Author
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Anna Lea Reinwarth, Tanja Schneeberger, Fabrizio Nunnari, Patrick Gebhard, Uwe Altmann, and Janet Wessler
- Published
- 2023
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- View/download PDF
36. Epidemiological and clinical characteristics of nontuberculous mycobacterial infections: A retrospective female cohort study in an Italian population
- Author
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Andrea Marino, Michele Salvatore Paternò Raddusa, Maria Gussio, Giuseppe Sangiorgio, Vittoria Moscatt, Alessandro Libra, Serena Spampinato, Dafne Bongiorno, Bruno Cacopardo, and Giuseppe Nunnari
- Subjects
Nontuberculous mycobacteria ,NTM infections ,Mycobacterium intracellulare ,Mycobacterium chelonae ,Mycobacterial pulmonary infections ,Infectious and parasitic diseases ,RC109-216 - Abstract
Objectives: This study aims to assess the characteristics and treatment outcomes of patients diagnosed with non-tuberculous mycobacteria (NTM) diseases at the Infectious Diseases Unit of ARNAS Garibaldi Hospital in Catania, Italy, focusing on demographics, clinical features, and treatment effectiveness. Methods: We conducted a retrospective observational study of 10 patients diagnosed with NTM diseases between 2019 and 2021. Data was collected from electronic medical records, including demographic information, comorbidities, treatment modalities, and outcomes. The study utilized descriptive statistics to analyze continuous and categorical variables. Treatment regimens were based on individual patient needs, incorporating a combination of antibiotics. Results: The median age of the patients was 55.44 years, all female, predominantly suffering from pulmonary NTM diseases. Mycobacterium intracellulare was the most common pathogen. Common comorbidities included COPD, bronchiectasis, GERD, and hypovitaminosis D. Patients showed symptoms like fever, cough, and asthenia. The treatment regimens were diverse, with macrolides, rifampicin, and ethambutol forming the core. Adverse effects were noted in 40 % of patients, including gastrointestinal and neurological disorders. All patients achieved microbiological cure, with 60 % showing clinical improvement and 36 % radiological improvement. Conclusion: The study highlights the complexity of diagnosing and treating NTM diseases, emphasizing the need for personalized treatment plans and vigilant monitoring of adverse effects. Despite achieving microbiological cure, challenges remain in achieving complete clinical and radiological resolution. Further research is needed to enhance the understanding and management of NTM diseases, particularly in diverse populations.
- Published
- 2024
- Full Text
- View/download PDF
37. An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT Images
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Nguyen, Duy M. H., Nguyen, Duy M., Vu, Huong, Nguyen, Binh T., Nunnari, Fabrizio, and Sonntag, Daniel
- Subjects
Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Human-Computer Interaction - Abstract
Until now, Coronavirus SARS-CoV-2 has caused more than 850,000 deaths and infected more than 27 million individuals in over 120 countries. Besides principal polymerase chain reaction (PCR) tests, automatically identifying positive samples based on computed tomography (CT) scans can present a promising option in the early diagnosis of COVID-19. Recently, there have been increasing efforts to utilize deep networks for COVID-19 diagnosis based on CT scans. While these approaches mostly focus on introducing novel architectures, transfer learning techniques, or construction large scale data, we propose a novel strategy to improve the performance of several baselines by leveraging multiple useful information sources relevant to doctors' judgments. Specifically, infected regions and heat maps extracted from learned networks are integrated with the global image via an attention mechanism during the learning process. This procedure not only makes our system more robust to noise but also guides the network focusing on local lesion areas. Extensive experiments illustrate the superior performance of our approach compared to recent baselines. Furthermore, our learned network guidance presents an explainable feature to doctors as we can understand the connection between input and output in a grey-box model., Comment: In AAAI 2021 Workshop: Trustworthy AI for Healthcare
- Published
- 2020
38. A Competitive Deep Neural Network Approach for the ImageCLEFmed Caption 2020 Task
- Author
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Kalimuthu, Marimuthu, Nunnari, Fabrizio, and Sonntag, Daniel
- Subjects
Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning - Abstract
The aim of ImageCLEFmed Caption task is to develop a system that automatically labels radiology images with relevant medical concepts. We describe our Deep Neural Network (DNN) based approach for tackling this problem. On the challenge test set of 3,534 radiology images, our system achieves an F1 score of 0.375 and ranks high, 12th among all systems that were successfully submitted to the challenge, whereby we only rely on the provided data sources and do not use any external medical knowledge or ontologies, or pretrained models from other medical image repositories or application domains., Comment: Camera-ready version for ImageCLEF-2020. http://ceur-ws.org/Vol-2696/paper_93.pdf
- Published
- 2020
39. The Skincare project, an interactive deep learning system for differential diagnosis of malignant skin lesions. Technical Report
- Author
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Sonntag, Daniel, Nunnari, Fabrizio, and Profitlich, Hans-Jürgen
- Subjects
Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning - Abstract
A shortage of dermatologists causes long wait times for patients who seek dermatologic care. In addition, the diagnostic accuracy of general practitioners has been reported to be lower than the accuracy of artificial intelligence software. This article describes the Skincare project (H2020, EIT Digital). Contributions include enabling technology for clinical decision support based on interactive machine learning (IML), a reference architecture towards a Digital European Healthcare Infrastructure (also cf. EIT MCPS), technical components for aggregating digitised patient information, and the integration of decision support technology into clinical test-bed environments. However, the main contribution is a diagnostic and decision support system in dermatology for patients and doctors, an interactive deep learning system for differential diagnosis of malignant skin lesions. In this article, we describe its functionalities and the user interfaces to facilitate machine learning from human input. The baseline deep learning system, which delivers state-of-the-art results and the potential to augment general practitioners and even dermatologists, was developed and validated using de-identified cases from a dermatology image data base (ISIC), which has about 20000 cases for development and validation, provided by board-certified dermatologists defining the reference standard for every case. ISIC allows for differential diagnosis, a ranked list of eight diagnoses, that is used to plan treatments in the common setting of diagnostic ambiguity. We give an overall description of the outcome of the Skincare project, and we focus on the steps to support communication and coordination between humans and machine in IML. This is an integral part of the development of future cognitive assistants in the medical domain, and we describe the necessary intelligent user interfaces., Comment: 20 pages, 15 figures
- Published
- 2020
40. Real-life efficacy and satisfaction of long-acting ART Cabotegravir-Rilpivirine in HIV-infected individuals
- Author
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S. Spampinato, A. Saia, Y. Russotto, C. Micali, A. Marino, M. Ceccarelli, E. Venanzi Rullo, G. Pellicanò, and G. Nunnari
- Subjects
hiv ,cabotegravir ,rilpivirine ,art ,long-acting ,Infectious and parasitic diseases ,RC109-216 - Abstract
OBJECTIVE: Switching from oral anti-retroviral therapy (ART) to intramuscular administration of Cabotegravir-Rilpivirine (CAB+RPV) has been observed to decrease the number of pills that patients need to take, enhance patient satisfaction, and promote better adherence to treatment. Clinical trials have reported not only the virological and immunological effectiveness of these intramuscular medications but have also assessed their safety and patient satisfaction. This transition eliminates the challenges related to patient adherence and compliance with daily oral regimens. PATIENTS AND METHODS: Our observational study included 14 people living with HIV (PLWH) who were under medical care at the “Gaetano Martino” University Hospital in Messina, Italy. These individuals were virologically suppressed and had been adherent to ART for at least 6 months. Importantly, they did not have documented or suspected resistance mutations to Cabotegravir + Rilpivirine (CAB+RPV). Data were collected at different time points: at the beginning of the study, one month after the lead-in phase with oral CAB+RPV, and one month after the first and second injections of CAB+RPV. Additionally, we routinely measured CD4+, CD8+, CD4+/CD8+ ratio, HIV-RNA plasma viral load, and clinical chemistry parameters. Statistical analysis was performed with Jamovi 2.0 for MacOS. Patient treatment satisfaction was assessed through a questionnaire, where we formulated and administered a series of questions to our patients to gauge their satisfaction with the intramuscular administration of these long-acting medications. Specifically, we asked them a simple question to determine whether they were satisfied or dissatisfied with the new method of administering CAB+RPV. RESULTS: In our study, we enrolled 14 individuals living with HIV (PLWH), predominantly males (92.9%), with a median age of 36 years (IQR: 30.25-39.75). Of these participants, 85.7% had transitioned from an integrase strand transfer inhibitor (INSTI)-based regimen, 7.1% from a non-nucleoside reverse transcriptase inhibitor (NNRTI)-based regimen, and 7.1% from a protease inhibitor (PI)-based regimen. Notably, HIV-RNA remained undetectable throughout the assessment period. Following the first intramuscular (IM) injection, 78.5% reported moderate to severe pain, decreasing to 57.1% after the second injection. While not statistically significant, we observed a positive trend in CD4+ percentage (p=0.641) and CD4/CD8 ratio (p=0.368), with a non-significant decrease in CD4+ T-cell count (p=0.882). The transition to IM CAB+RPV did not significantly impact low-density lipoprotein cholesterol (LDLc) levels (p=0.417). When questioned about satisfaction with the new treatment regimen, 71.4% of PLWH expressed contentment with the injectable regimen, while 21.4% chose not to respond. CONCLUSIONS: People living with HIV (PLWH) who were on long-acting ART (LA-ART) with CAB+RPV expressed satisfaction with their new treatment regimen, and viral load remained undetectable in all cases. Pain, as reported in clinical trials, emerged as the primary side effect. Our real-life experience affirmed the virological and immunological effectiveness, safety, and patient satisfaction associated with long-acting ART using CAB+RPV.
- Published
- 2023
- Full Text
- View/download PDF
41. Visual Similarity for Socially Interactive Agents that Support Self-Awareness.
- Author
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Claudio Alves da Silva, Bernhard Hilpert, Chirag Bhuvaneshwara, Patrick Gebhard, Fabrizio Nunnari, and Dimitra Tsovaltzi
- Published
- 2023
- Full Text
- View/download PDF
42. Genome-wide CRISPRi screening identifies OCIAD1 as a prohibitin client and regulatory determinant of mitochondrial Complex III assembly in human cells
- Author
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Le Vasseur, Maxence, Friedman, Jonathan, Jost, Marco, Xu, Jiawei, Yamada, Justin, Kampmann, Martin, Horlbeck, Max A, Salemi, Michelle R, Phinney, Brett S, Weissman, Jonathan S, and Nunnari, Jodi
- Subjects
Biochemistry and Cell Biology ,Biological Sciences ,Rare Diseases ,1.1 Normal biological development and functioning ,2.1 Biological and endogenous factors ,Antimycin A ,CRISPR-Associated Protein 9 ,CRISPR-Cas Systems ,Clustered Regularly Interspaced Short Palindromic Repeats ,Electron Transport Complex III ,Endopeptidases ,Genome-Wide Association Study ,Humans ,K562 Cells ,Mitochondria ,Neoplasm Proteins ,Oxidative Phosphorylation ,Prohibitins ,Proteolysis ,Repressor Proteins ,Complex III ,cell biology ,cytochrome c1 ,electron transport chain ,human ,mitochondria ,prohibitin ,protease ,Biological sciences ,Biomedical and clinical sciences ,Health sciences - Abstract
Dysfunction of the mitochondrial electron transport chain (mETC) is a major cause of human mitochondrial diseases. To identify determinants of mETC function, we screened a genome-wide human CRISPRi library under oxidative metabolic conditions with selective inhibition of mitochondrial Complex III and identified ovarian carcinoma immunoreactive antigen (OCIA) domain-containing protein 1 (OCIAD1) as a Complex III assembly factor. We find that OCIAD1 is an inner mitochondrial membrane protein that forms a complex with supramolecular prohibitin assemblies. Our data indicate that OCIAD1 is required for maintenance of normal steady-state levels of Complex III and the proteolytic processing of the catalytic subunit cytochrome c1 (CYC1). In OCIAD1 depleted mitochondria, unprocessed CYC1 is hemylated and incorporated into Complex III. We propose that OCIAD1 acts as an adaptor within prohibitin assemblies to stabilize and/or chaperone CYC1 and to facilitate its proteolytic processing by the IMMP2L protease.
- Published
- 2021
43. Screening for Latent Tuberculosis Infection in People Living with HIV: TUBHIVIT Project, a Multicenter Italian Study
- Author
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Luca Pipitò, Elena Delfina Ricci, Paolo Maggi, Giuseppe Vittorio De Socio, Giovanni Francesco Pellicano, Marcello Trizzino, Raffaella Rubino, Alessandra Lanzi, Lorenzo Crupi, Ilaria Capriglione, Nicola Squillace, Giuseppe Nunnari, Antonio Di Biagio, Paolo Bonfanti, and Antonio Cascio
- Subjects
tuberculosis ,HIV ,latent tuberculosis ,TB ,LTBI ,Microbiology ,QR1-502 - Abstract
Background: The coexistence of HIV infection and latent tuberculosis infection (LTBI) presents a significant public health concern due to the increased risk of tuberculosis (TB) reactivation and progression to active disease. The multicenter observational cohort study, TUBHIVIT, conducted in Italy from 2017 to 2023, aimed to assess the prevalence of LTBI among people living with HIV (PLHIV) and their outcomes following LTBI screening and therapy initiation. Methods: We performed a prospective study in five referral centers for HIV care in Italy. PLHIV who consented Tto participate underwent QuantiFERON-TB Gold Plus and clinical, microbiological, and radiological assessments to exclude subclinical tuberculosis, as opportune. PLHIV diagnosed with LTBI who started chemoprophylaxis were followed until the end of therapy. Results: A total of 1105 PLHIV were screened for LTBI using the QuantiFERON-TB Gold Plus test, revealing a prevalence of 3.4% of positive results (38/1105). Non-Italy-born individuals exhibited a significantly higher likelihood of testing positive. Thirty-one were diagnosed with LTBI, 1 showed active subclinical TB, and 6 were lost to follow-up before discriminating between latent and active TB. Among the PLHIV diagnosed with LTBI, 83.9% (26/31) started chemoprophylaxis. Most individuals received 6–9 months of isoniazid-based therapy. Of the 26 PLHIV commencing chemoprophylaxis, 18 (69.2%) completed the therapy, while 3 discontinued it and 5 were still on treatment at the time of the analysis. Adverse events were observed in two cases, while in one case the patient refused to continue the treatment.
- Published
- 2024
- Full Text
- View/download PDF
44. A CNN toolbox for skin cancer classification
- Author
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Nunnari, Fabrizio and Sonntag, Daniel
- Subjects
Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning - Abstract
We describe a software toolbox for the configuration of deep neural networks in the domain of skin cancer classification. The implemented software architecture allows developers to quickly set up new convolutional neural network (CNN) architectures and hyper-parameter configurations. At the same time, the user interface, manageable as a simple spreadsheet, allows non-technical users to explore different configuration settings that need to be explored when switching to different data sets. In future versions, meta leaning frameworks can be added, or AutoML systems that continuously improve over time. Preliminary results, conducted with two CNNs in the context melanoma detection on dermoscopic images, quantify the impact of image augmentation, image resolution, and rescaling filter on the overall detection performance and training time., Comment: DFKI Technical Report
- Published
- 2019
45. PDZD8 interacts with Protrudin and Rab7 at ER-late endosome membrane contact sites associated with mitochondria.
- Author
-
Elbaz-Alon, Yael, Guo, Yuting, Segev, Nadav, Harel, Michal, Quinnell, Daniel E, Geiger, Tamar, Avinoam, Ori, Li, Dong, and Nunnari, Jodi
- Abstract
Endosomes are compositionally dynamic organelles that regulate signaling, nutrient status and organelle quality by specifying whether material entering the cells will be shuttled back to the cell surface or degraded by the lysosome. Recently, membrane contact sites (MCSs) between the endoplasmic reticulum (ER) and endosomes have emerged as important players in endosomal protein sorting, dynamics and motility. Here, we show that PDZD8, a Synaptotagmin-like Mitochondrial lipid-binding Proteins (SMP) domain-containing ER transmembrane protein, utilizes distinct domains to interact with Rab7-GTP and the ER transmembrane protein Protrudin and together these components localize to an ER-late endosome MCS. At these ER-late endosome MCSs, mitochondria are also recruited to form a three-way contact. Thus, our data indicate that PDZD8 is a shared component of two distinct MCSs and suggest a role for SMP-mediated lipid transport in the regulation of endosome function.
- Published
- 2020
46. Structural analysis of a trimeric assembly of the mitochondrial dynamin-like GTPase Mgm1
- Author
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Yan, Liming, Qi, Yuanbo, Ricketson, Derek, Li, Lei, Subramanian, Kelly, Zhao, Jinghua, Yu, Caiting, Wu, Lijie, Sarsam, Reta, Wong, Melissa, Lou, Zhiyong, Rao, Zihe, Nunnari, Jodi, and Hu, Junjie
- Subjects
Biochemistry and Cell Biology ,Biological Sciences ,1.1 Normal biological development and functioning ,Underpinning research ,Generic health relevance ,Crystallography ,X-Ray ,GTP-Binding Proteins ,Guanosine Diphosphate ,Lipid Metabolism ,Membrane Fusion ,Mitochondria ,Mitochondrial Proteins ,Models ,Molecular ,Mutation ,Protein Conformation ,Saccharomyces cerevisiae ,Saccharomyces cerevisiae Proteins ,membrane fusion ,mitochondria ,dynamin ,inner membrane ,structure - Abstract
The fusion of inner mitochondrial membranes requires dynamin-like GTPases, Mgm1 in yeast and OPA1 in mammals, but how they mediate membrane fusion is poorly understood. Here, we determined the crystal structure of Saccharomyces cerevisiae short Mgm1 (s-Mgm1) in complex with GDP. It revealed an N-terminal GTPase (G) domain followed by two helix bundles (HB1 and HB2) and a unique C-terminal lipid-interacting stalk (LIS). Dimers can form through antiparallel HB interactions. Head-to-tail trimers are built by intermolecular interactions between the G domain and HB2-LIS. Biochemical and in vivo analyses support the idea that the assembly interfaces observed here are native and critical for Mgm1 function. We also found that s-Mgm1 interacts with negatively charged lipids via both the G domain and LIS. Based on these observations, we propose that membrane targeting via the G domain and LIS facilitates the in cis assembly of Mgm1, potentially generating a highly curved membrane tip to allow inner membrane fusion.
- Published
- 2020
47. Long-Term Survivors in a Cohort of People Living with HIV Diagnosed between 1985 and 1994: Predictive Factors Associated with More Than 25 Years of Survival
- Author
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Federica Cosentino, Andrea Marino, Laura Anile, Vittoria Moscatt, Maria Gussio, Vincenzo Boscia, Roberto Bruno, Giuseppe Nunnari, Alfredo Pulvirenti, Grete Francesca Privitera, Bruno Santi Cacopardo, Manuela Ceccarelli, and Benedetto Maurizio Celesia
- Subjects
HIV epidemiology ,long-term survivors ,HAART ,Other systems of medicine ,RZ201-999 - Abstract
Although the mortality rate among individuals diagnosed during the pre-Highly Active Antiretroviral Treatment era has been substantial, a considerable number of them survived. Our study aimed to evaluate the prevalence of HIV long-term survivors in a cohort of People Living with HIV diagnosed between 1985 and 1994 and to speculate about potential predictive factors associated to long survival. This is a retrospective single-center study. Subjects surviving more than 300 months (25 years) from HIV diagnosis were defined as Long Term Survivors. Overall, 210 subjects were enrolled. More than 75.24% of the included people living with HIV were males, with a median age of 28 years (IQR 25–34). The prevalent risk factors for HIV infection were injection drug use (47.62%), followed by unprotected sex among heterosexual individuals (23.81%). Ninety-three individuals (44.29%) could be defined as LTS with a median (IQR) survival of 333 (312–377) months. A hazard ratio of 12.45 (95% CI 7.91–19.59) was found between individuals who were exposed to Highly Active AntiRetroviral Treatment (HAART) and individuals who were not, with the latter being at greater risk of death. The availability and accessibility of effective antiretroviral therapy for people living with HIV remain the cornerstone of survival.
- Published
- 2023
- Full Text
- View/download PDF
48. Neuro-immune deconvolution analysis of OAS3 as a transcriptomic central node in HIV-associated neurocognitive disorders
- Author
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Sanfilippo, Cristina, Castrogiovanni, Paola, Vinciguerra, Manlio, Imbesi, Rosa, Ulivieri, Martina, Fazio, Francesco, Cantarella, Antonio, Nunnari, Giuseppe, and Di Rosa, Michelino
- Published
- 2023
- Full Text
- View/download PDF
49. Machine Learning Applications in Volcanology and Seismology
- Author
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Hajian, Alireza, primary, Nunnari, Giuseppe, additional, and Kimiaefar, Roohollah, additional
- Published
- 2023
- Full Text
- View/download PDF
50. Machine Learning: The Concepts
- Author
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Hajian, Alireza, primary, Nunnari, Giuseppe, additional, and Kimiaefar, Roohollah, additional
- Published
- 2023
- Full Text
- View/download PDF
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