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5,319 results on '"Iannucci A"'

1. Pathwise Optimal Control and Rough Fractional Hamilton-Jacobi-Bellman Equations for Rough-Fractional Dynamics

Author

Iannucci, Andrea, Crisan, Dan, and Cass, Thomas

Subjects
Mathematics - Optimization and Control
Abstract

We use a rough path-based approach to investigate the degeneracy problem in the context of pathwise control. We extend the framework developed in arXiv:1902.05434 to treat admissible controls from a suitable class of H\"older continuous paths and simultaneously to handle a broader class of noise terms. Our approach uses fractional calculus to augment the original control equation, resulting in a system with added fractional dynamics. We adapt the existing analysis of fractional systems from the work of Gomoyunov arXiv:1908.01747, arXiv:2111.14400v1 , arXiv:2109.02451 to this new setting, providing a notion of a rough fractional viscosity solution for fractional systems that involve a noise term of arbitrarily low regularity. In this framework, following the method outlined in arXiv:1902.05434, we derive sufficient conditions to ensure that the control problem remains non-degenerate.

Published
2024

2. Exploring Teacher Educator Pedagogical Decision-Making about a Combined Pedagogy of Social Justice and Meaningful Physical Education

Author

Déirdre Ní Chróinín, Cassandra Iannucci, Carla Luguetti, and Declan Hamblin

Abstract

Teacher educators shape curriculum in the pedagogical decisions they make (Lunenberg et al., 2007). Yet, evidence is lacking about how physical education (PE) teacher educators make decisions about what to include in their teacher education pedagogies. Four teacher educators in four different PE teacher education (PETE) programmes collaborated to examine their decision-making as they explored ideas related to Meaningful PE and social justice pedagogies. Insight into how teacher educators make decisions can add nuance to understanding pedagogical decision-making in PETE. A self-study of teacher education practices frame supported collective and individual interrogation of our decision-making processes. Data included planning documentation for each teaching episode (n = 42), individual reflections (n = 33), recordings of conversations with critical friends (n = 15), and recordings of collective meetings (n = 8). Pedagogical confrontations (Moran et al., 2019) provided a lens for each teacher educator to gain perspective and insight into their decision-making related to Meaningful PE and social justice pedagogies The findings are presented in the form of four individual cases that illustrate the distinct story of each teacher educator's engagement with Meaningful PE and social justice pedagogies. Teacher educators' decisions were guided by their purposes and influenced by their contexts. Additionally, peers were an important source of pedagogical confrontations to influence decision-making practices. This research contributes to the understanding of innovation in PETE by illustrating how clarity about priorities promotes deliberate decision-making by teacher educators resulting in adoption or rejection of innovation.

Published
2024
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3. Multiway Alignment of Political Attitudes

Author

Iannucci, Letizia, Faqeeh, Ali, Salloum, Ali, Chen, Ted Hsuan Yun, and Kivelä, Mikko

Subjects
Computer Science - Social and Information Networks, Physics - Physics and Society, Statistics - Applications
Abstract

The related concepts of partisan belief systems, issue alignment, and partisan sorting are central to our understanding of politics. These phenomena have been studied using measures of alignment between pairs of topics, or how much individuals' attitudes toward a topic reveal about their attitudes toward another topic. We introduce a higher-order measure that extends the assessment of alignment beyond pairs of topics by quantifying the amount of information individuals' opinions on one topic reveal about a set of topics simultaneously. Our multiway alignment measure indicates how much individuals' opinions on multiple topics align into a single ideological divide. Applying this approach to legislative voting behavior reveals that parliamentary systems typically exhibit similar multiway alignment characteristics, but can change in response to shifting intergroup dynamics. In American National Election Studies surveys, our approach reveals a growing significance of party identification together with a consistent rise in multiway alignment over time. Similarly, the growing multiway alignment among topical issues in Finnish online discussions suggests a trend towards a more ideologically driven political landscape. Our case studies demonstrate that the multiway alignment measure is a versatile tool for understanding societal polarization and partisan belief systems across diverse domains.

Published
2024

4. A New Variational Quantum Algorithm Based on Lagrange Polynomial Encoding to Solve Partial Differential Equations

Author

Hunout, Josephine, Laizet, Sylvain, and Iannucci, Lorenzo

Subjects
Quantum Physics
Abstract

Partial Differential Equations (PDEs) serve as the cornerstone for a wide range of scientific endeavours, their solutions weaving through the core of diverse fields such as structural engineering, fluid dynamics, and financial modelling. PDEs are notoriously hard to solve, due to their the intricate nature, and finding solutions to PDEs often exceeds the capabilities of traditional computational approaches. Recent advances in quantum computing have triggered a growing interest from researchers for the design of quantum algorithms for solving PDEs. In this work, we introduce two different architectures of a novel variational quantum algorithm (VQA) with Lagrange polynomial encoding in combination with derivative quantum circuits using the Hadamard test differentiation to approximate the solution of PDEs. To demonstrate the potential of our new VQA, two well-known PDEs are used: the damped mass-spring system from a given initial value and the Poisson equation for periodic, Dirichlet and Neumann boundary conditions. It is shown that the proposed new VQA has a reduced gate complexity compared to previous variational quantum algorithms, for a similar or better quality of the solution.

Published
2024

5. CoRAST: Towards Foundation Model-Powered Correlated Data Analysis in Resource-Constrained CPS and IoT

Author

Hu, Yi, Zuo, Jinhang, Zhao, Alanis, Iannucci, Bob, and Joe-Wong, Carlee

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

Foundation models (FMs) emerge as a promising solution to harness distributed and diverse environmental data by leveraging prior knowledge to understand the complicated temporal and spatial correlations within heterogeneous datasets. Unlike distributed learning frameworks such as federated learning, which often struggle with multimodal data, FMs can transform diverse inputs into embeddings. This process facilitates the integration of information from various modalities and the application of prior learning to new domains. However, deploying FMs in resource-constrained edge systems poses significant challenges. To this end, we introduce CoRAST, a novel learning framework that utilizes FMs for enhanced analysis of distributed, correlated heterogeneous data. Utilizing a server-based FM, CoRAST can exploit existing environment information to extract temporal, spatial, and cross-modal correlations among sensor data. This enables CoRAST to offer context-aware insights for localized client tasks through FM-powered global representation learning. Our evaluation on real-world weather dataset demonstrates CoRAST's ability to exploit correlated heterogeneous data through environmental representation learning to reduce the forecast errors by up to 50.3% compared to the baselines., Comment: accepted and to be published in 2024 IEEE International Workshop on Foundation Models for Cyber-Physical Systems & Internet of Things (FMSys)

Published
2024
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9. Strategy for an early simultaneous introduction of four-pillars of heart failure therapy: results from a single center experience

Author

Severino, Paolo, D’Amato, Andrea, Prosperi, Silvia, Mariani, Marco Valerio, Myftari, Vincenzo, Labbro Francia, Aurora, Cestiè, Claudia, Tomarelli, Elisa, Manzi, Giovanna, Birtolo, Lucia Ilaria, Marek-Iannucci, Stefanie, Maestrini, Viviana, Mancone, Massimo, Badagliacca, Roberto, Fedele, Francesco, and Vizza, Carmine Dario

Published
2024
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12. The Hungarian fossil record of the Pliocene pig Sus arvernensis (Suidae, Mammalia)

Author

Alessio Iannucci, Piroska Pazonyi, and Krisztina Sebe

Subjects
Artiodactyla, Europe, Faunal turnover, Large mammals, Museum collections, Pleistocene, Fossil man. Human paleontology, GN282-286.7, Paleontology, QE701-760
Abstract

Abstract Sus arvernensis is a Pliocene species that occupies a key position in the evolution of suids (Suidae, Artiodactyla, Mammalia) in Eurasia, and besides, it is considered important for biochronological correlations and paleoecological inferences. However, our knowledge on S. arvernensis is largely based on fossil remains from southwestern Europe. Here, we present a revision of the Hungarian fossil record of S. arvernensis. Up to now, the species was known from only two localities of Hungary, Gödöllő (central Hungary) and Süttő (northwest Hungary), and the latter occurrence has even been questioned. After the comparison with other relevant samples of S. arvernensis, of the Early Pleistocene S. strozzii, and of the extant wild boar S. scrofa (motivated by previous attributions and the chronology of the localities), the presence of S. arvernensis from Gödöllő and Süttő is confirmed, and more material of the species is described from Beremend (southern Hungary) and Kisláng (western Hungary). Collectively, the results of the revision carried out herein reveal a relatively widespread distribution of S. arvernensis in Hungary, hence providing an important link from the eastern to western European fossil record of the species. The specimens from Gödöllő and Süttő are slightly larger than the other material of S. arvernensis from France and Italy included in the biometric comparison, although the paucity of the material precludes to evaluate whether these differences are significant and to relate them to a chronological and/or geographical context. The occurrence of S. arvernensis in the Hungarian localities considered in this work is a biochronological indication of an age older than at least 2.6 Ma, since the species is not recorded after the Pliocene–Pleistocene transition. This in agreement with the age estimates available so far for some of the localities or provides new insights. At Süttő, in particular, the identification of S. arvernensis reinforces the view that travertine deposition started already in the Pliocene.

Published
2024
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13. DNA barcode library of Portuguese water mites, with the descriptions of two new species (Acari, Hydrachnidia)

Author

Vladimir Pešić, Andrzej Zawal, Sónia Ferreira, Laura Benitez-Bosco, Ana Cruz-Oliveira, Dinis Girão, Adriana Padilha, Paolo Turaccio, Samantha Rossini, Lorenzo Ballini, Giorgia Staffoni, Sara Fratini, Claudio Ciofi, Alessio Iannucci, Torbjørn Ekrem, and Elisabeth Stur

Subjects
Zoology, QL1-991
Abstract

This study presents the first results from the analysis of water mites collected in Portugal as part of the Biodiversity Genomics Europe project. 307 COI DNA barcodes clustered into 75 BINs are provided, with 38 BINs being unique and deposited for the first time in the Barcode of Life Data Systems (BOLD). 65 species have been identified, of which 36 are new to the water mite fauna of Portugal. Two species, Torrenticola soniae Pešić, sp. nov. and T. elisabethae Pešić, sp. nov. (Torrenticolidae), are described as new to science. 47% of the water mite species currently known from Portugal now have reference barcodes in BOLD. High intraspecific distances were recorded for some species, suggesting the presence of cryptic diversity and species complexes that needs further study. Our results improve the DNA barcode reference database for Portuguese water mites, enhancing species identification accuracy and stimulating future investigation.

Published
2024
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14. The European Reference Genome Atlas: piloting a decentralised approach to equitable biodiversity genomics

Author

Ann M. Mc Cartney, Giulio Formenti, Alice Mouton, Diego De Panis, Luísa S. Marins, Henrique G. Leitão, Genevieve Diedericks, Joseph Kirangwa, Marco Morselli, Judit Salces-Ortiz, Nuria Escudero, Alessio Iannucci, Chiara Natali, Hannes Svardal, Rosa Fernández, Tim De Pooter, Geert Joris, Mojca Strazisar, Jonathan M. D. Wood, Katie E. Herron, Ole Seehausen, Phillip C. Watts, Felix Shaw, Robert P. Davey, Alice Minotto, José M. Fernández, Astrid Böhne, Carla Alegria, Tyler Alioto, Paulo C. Alves, Isabel R. Amorim, Jean-Marc Aury, Niclas Backstrom, Petr Baldrian, Laima Baltrunaite, Endre Barta, Bertrand BedHom, Caroline Belser, Johannes Bergsten, Laurie Bertrand, Helena Bilandija, Mahesh Binzer-Panchal, Iliana Bista, Mark Blaxter, Paulo A. V. Borges, Guilherme Borges Dias, Mirte Bosse, Tom Brown, Rémy Bruggmann, Elena Buena-Atienza, Josephine Burgin, Elena Buzan, Alessia Cariani, Nicolas Casadei, Matteo Chiara, Sergio Chozas, Fedor Čiampor, Angelica Crottini, Corinne Cruaud, Fernando Cruz, Love Dalen, Alessio De Biase, Javier del Campo, Teo Delic, Alice B. Dennis, Martijn F. L. Derks, Maria Angela Diroma, Mihajla Djan, Simone Duprat, Klara Eleftheriadi, Philine G. D. Feulner, Jean-François Flot, Giobbe Forni, Bruno Fosso, Pascal Fournier, Christine Fournier-Chambrillon, Toni Gabaldon, Shilpa Garg, Carmela Gissi, Luca Giupponi, Jessica Gomez-Garrido, Josefa González, Miguel L. Grilo, Björn Grüning, Thomas Guerin, Nadege Guiglielmoni, Marta Gut, Marcel P. Haesler, Christoph Hahn, Balint Halpern, Peter W. Harrison, Julia Heintz, Maris Hindrikson, Jacob Höglund, Kerstin Howe, Graham M. Hughes, Benjamin Istace, Mark J. Cock, Franc Janžekovič, Zophonias O. Jonsson, Sagane Joye-Dind, Janne J. Koskimäki, Boris Krystufek, Justyna Kubacka, Heiner Kuhl, Szilvia Kusza, Karine Labadie, Meri Lähteenaro, Henrik Lantz, Anton Lavrinienko, Lucas Leclère, Ricardo Jorge Lopes, Ole Madsen, Ghislaine Magdelenat, Giulia Magoga, Tereza Manousaki, Tapio Mappes, Joao Pedro Marques, Gemma I. Martinez Redondo, Florian Maumus, Shane A. McCarthy, Hendrik-Jan Megens, Jose Melo-Ferreira, Sofia L. Mendes, Matteo Montagna, Joao Moreno, Mai-Britt Mosbech, Mónica Moura, Zuzana Musilova, Eugene Myers, Will J. Nash, Alexander Nater, Pamela Nicholson, Manuel Niell, Reindert Nijland, Benjamin Noel, Karin Noren, Pedro H. Oliveira, Remi-Andre Olsen, Lino Ometto, Rebekah A. Oomen, Stephan Ossowski, Vaidas Palinauskas, Snaebjorn Palsson, Jerome P. Panibe, Joana Pauperio, Martina Pavlek, Emilie Payen, Julia Pawlowska, Jaume Pellicer, Graziano Pesole, Joao Pimenta, Martin Pippel, Anna Maria Pirttilä, Nikos Poulakakis, Jeena Rajan, Rúben M.C. Rego, Roberto Resendes, Philipp Resl, Ana Riesgo, Patrik Rodin-Morch, Andre E. R. Soares, Carlos Rodriguez Fernandes, Maria M. Romeiras, Guilherme Roxo, Lukas Rüber, Maria Jose Ruiz-Lopez, Urmas Saarma, Luis P. da Silva, Manuela Sim-Sim, Lucile Soler, Vitor C. Sousa, Carla Sousa Santos, Alberto Spada, Milomir Stefanovic, Viktor Steger, Josefin Stiller, Matthias Stöck, Torsten H. Struck, Hiranya Sudasinghe, Riikka Tapanainen, Christian Tellgren-Roth, Helena Trindade, Yevhen Tukalenko, Ilenia Urso, Benoit Vacherie, Steven M. Van Belleghem, Kees Van Oers, Carlos Vargas-Chavez, Nevena Velickovic, Noel Vella, Adriana Vella, Cristiano Vernesi, Sara Vicente, Sara Villa, Olga Vinnere Pettersson, Filip A. M. Volckaert, Judit Voros, Patrick Wincker, Sylke Winkler, Claudio Ciofi, Robert M. Waterhouse, and Camila J. Mazzoni

Subjects
General. Including nature conservation, geographical distribution, QH1-199.5
Abstract

Abstract A genomic database of all Earth’s eukaryotic species could contribute to many scientific discoveries; however, only a tiny fraction of species have genomic information available. In 2018, scientists across the world united under the Earth BioGenome Project (EBP), aiming to produce a database of high-quality reference genomes containing all ~1.5 million recognized eukaryotic species. As the European node of the EBP, the European Reference Genome Atlas (ERGA) sought to implement a new decentralised, equitable and inclusive model for producing reference genomes. For this, ERGA launched a Pilot Project establishing the first distributed reference genome production infrastructure and testing it on 98 eukaryotic species from 33 European countries. Here we outline the infrastructure and explore its effectiveness for scaling high-quality reference genome production, whilst considering equity and inclusion. The outcomes and lessons learned provide a solid foundation for ERGA while offering key learnings to other transnational, national genomic resource projects and the EBP.

Published
2024
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15. Building a Portuguese coalition for biodiversity genomics

Author

João P. Marques, Paulo C. Alves, Isabel R. Amorim, Ricardo J. Lopes, Monica Moura, Eugene Myers, Manuela Sim-sim, Carla Sousa-Santos, M. Judite Alves, Paulo A. V. Borges, Thomas Brown, Miguel Carneiro, Carlos Carrapato, Luís M. P. Ceríaco, Claúdio Ciofi, Luís P. da Silva, Genevieve Diedericks, Maria Angela Diroma, Liliana Farelo, Giulio Formenti, Fátima Gil, Miguel Grilo, Alessio Iannucci, Henrique G. Leitão, Cristina Máguas, Ann M. Mc Cartney, Sofia L. Mendes, João M. Moreno, Marco Morselli, Alice Mouton, Chiara Natali, Fernando Pereira, Rúben M. C. Rego, Roberto Resendes, Guilherme Roxo, Hannes Svardal, Helena Trindade, Sara Vicente, Sylke Winkler, Marcela Alvarenga, Andreia J. Amaral, Agostinho Antunes, Paula F. Campos, Adelino V. M. Canário, Rita Castilho, L. Filipe C. Castro, Angelica Crottini, Mónica V. Cunha, Gonçalo Espregueira Themudo, Pedro J. Esteves, Rui Faria, Carlos Rodríguez Fernandes, Jean-Baptiste Ledoux, Bruno Louro, Sara Magalhaes, Octávio S. Paulo, Gareth Pearson, João Pimenta, Francisco Pina-Martins, Teresa L. Santos, Ester Serrão, José Melo-Ferreira, and Vítor C. Sousa

Subjects
General. Including nature conservation, geographical distribution, QH1-199.5
Abstract

The diverse physiography of the Portuguese land and marine territory, spanning from continental Europe to the Atlantic archipelagos, has made it an important repository of biodiversity throughout the Pleistocene glacial cycles, leading to a remarkable diversity of species and ecosystems. This rich biodiversity is under threat from anthropogenic drivers, such as climate change, invasive species, land use changes, overexploitation, or pathogen (re)emergence. The inventory, characterisation, and study of biodiversity at inter- and intra-specific levels using genomics is crucial to promote its preservation and recovery by informing biodiversity conservation policies, management measures, and research. The participation of researchers from Portuguese institutions in the European Reference Genome Atlas (ERGA) initiative and its pilot effort to generate reference genomes for European biodiversity has reinforced the establishment of Biogenome Portugal. This nascent institutional network will connect the national community of researchers in genomics. Here, we describe the Portuguese contribution to ERGA’s pilot effort, which will generate high-quality reference genomes of six species from Portugal that are endemic, iconic, and/or endangered and include plants, insects, and vertebrates (fish, birds, and mammals) from mainland Portugal or the Azores islands. In addition, we outline the objectives of Biogenome Portugal, which aims to (i) promote scientific collaboration, (ii) contribute to advanced training, (iii) stimulate the participation of institutions and researchers based in Portugal in international biodiversity genomics initiatives, and (iv) contribute to the transfer of knowledge to stakeholders and engaging the public to preserve biodiversity. This initiative will strengthen biodiversity genomics research in Portugal and fuel the genomic inventory of Portuguese eukaryotic species. Such efforts will be critical to the conservation of the country’s rich biodiversity and will contribute to ERGA’s goal of generating reference genomes for European species.

Published
2024
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16. A Teacher's Self-Study of Digitally-Enabled Assessment Practices to Support Enhancements in Assessment Literacy in Primary Physical Education

Author

Celeste Fletcher, Cassandra Iannucci, and Dylan Scanlon

Abstract

In physical education, assessment is a fundamental component of purposeful and meaningful learning experiences for students, with the predominant goal to support and enhance student learning. Implementing the use of digital technologies in physical education can also contribute to improved engagement, motivation and student learning. While there is a substantial amount of research around digital technology and physical education within secondary school, less research exists around using digital technology to support quality assessment practices, particularly in a lower-primary physical education setting. Therefore, the purpose of this paper was to explore one physical educators' experience using digital technology to support assessment implementation in an Australian primary physical education setting. Three themes were identified through analysis: shifting assumptions of practice, building comprehension and application, and challenges and opportunities in attempting to implement quality assessment using digital technology. We highlight the value of self-study research as professional learning for practising teachers and the importance of assessment literacy.

Published
2024
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17. Teachers' Perspectives of Enacting Student Voice in Primary Physical Education

Author

Cassandra Iannucci, Cameron van der Smee, and Melissa Parker

Abstract

Purpose: Broadly speaking, student voice can be defined as initiatives that involve consultation of, feedback from, and engagement with students regarding their own education. This study's aim was to explore teachers' experiences and perceptions of enacting student voice in primary physical education. Method: Participants included six primary school health and physical education specialist teachers within Victoria, Australia. Data were collected via six rich and detailed one-on-one semistructured interviews. Results: Three main themes include: (a) "same-same but different" highlighting participants' varying conceptualizations and enactment of student voice, (b) "language matters" emphasizing the importance of language used when discussing and implementing student voice, and (c) "barriers and challenges to implementation" capturing participants' experience and limiting factors to the enactment of student voice practices. Discussion/Conclusion: Grounded in education for transformation and patterns of partnership theories, the discussion focuses on the disassociation between teachers' perceived understanding and enactment and the implications for students resulting from the misalignment.

Published
2024
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18. Predictors of Empathy Among Dental Hygiene Undergraduate Students

Author

Collins, David M., Iannucci, Joen M., Townsend, Janice A., and Kearney, Rachel C.

Subjects
Dental students -- Psychological aspects -- Social aspects -- Surveys, Empathy -- Surveys -- Health aspects, Dentistry -- Study and teaching
Abstract

Purpose Empathetic engagement is considered a vital component in forming respect-based relationships between patients and clinicians, leading to more optimal patient care. The purpose of this study was to explore whether there was a relationship between dental hygiene students' levels of empathy and student demographics including age, gender, year in school, and the degree type of dental hygiene program attending. Methods This was a cross-sectional observation study conducted among dental hygiene undergraduate students attending three dental hygiene programs in the Midwestern United States. Two programs offered associate degrees and one offered a baccalaureate degree. Participants completed the 20-item Jefferson Scale of Empathy[R], student edition (JSE-S) along with demographic questions including age, gender, year in dental hygiene program, and degree type of dental hygiene program. Descriptive statistics and comparisons of the empathy scores were conducted using t-test and one-way analysis of variance (ANOVA). Regressions were conducted to determine whether the students' year in dental hygiene program and the type of degree program were predictors of empathy. Results Forty-one participants completed the questionnaire for a 65% response rate. The mean empathy score was 83.05 [+ or -] 10.04 among the participants. There were no statistically significant differences between levels of empathy of first- and second-year students or those attending a two-year institution versus a four-year university. Age, year in program, and type of degree were not shown to be predictors of empathy. Conclusion Results from this study did not show relationships or predictors of empathy with dental hygiene students' demographics or type of degree program. Future research should expand beyond a small homogenous convenience sample and include a longitudinal gauge to assess potential fluctuations in empathy as students progress throughout the curriculum and as practicing clinicians. Keywords empathy, emotional intelligence, dental hygienists, dental hygiene students, allied dental education, cognition NDHRA priority area Professional development: Education (evaluation)., INTRODUCTION Empathy is significant in the relationship between a patient and their healthcare provider. The expression "empathy" is derived from the Greek "empatheia," which translates as appreciation for another person's [...]

Published
2024

20. Saving temporary exhibitions in virtual environments: the Digital Renaissance of Ulisse Aldrovandi -- acquisition and digitisation of cultural heritage objects

Author

Balzani, Roberto, Barzaghi, Sebastian, Bitelli, Gabriele, Bonifazi, Federica, Bordignon, Alice, Cipriani, Luca, Colitti, Simona, Collina, Federica, Daquino, Marilena, Fabbri, Francesca, Fanini, Bruno, Fantini, Filippo, Ferdani, Daniele, Fiorini, Giulia, Formia, Elena, Forte, Anna, Giacomini, Federica, Girelli, Valentina Alena, Gualandi, Bianca, Heibi, Ivan, Iannucci, Alessandro, Del Fà, Rachele Manganelli, Massari, Arcangelo, Moretti, Arianna, Peroni, Silvio, Pescarin, Sofia, Renda, Giulia, Ronchi, Diego, Sullini, Mattia, Tini, Maria Alessandra, Tomasi, Francesca, Travaglini, Laura, and Vittuari, Luca

Subjects
Computer Science - Graphics, Computer Science - Digital Libraries
Abstract

As per the objectives of Project CHANGES, particularly its thematic sub-project on the use of virtual technologies for museums and art collections, our goal was to obtain a digital twin of the temporary exhibition on Ulisse Aldrovandi called "The Other Renaissance", and make it accessible to users online. After a preliminary study of the exhibition, focussing on acquisition constraints and related solutions, we proceeded with the digital twin creation by acquiring, processing, modelling, optimising, exporting, and metadating the exhibition. We made hybrid use of two acquisition techniques to create new digital cultural heritage objects and environments, and we used open technologies, formats, and protocols to make available the final digital product. Here, we describe the process of collecting and curating bibliographical exhibition (meta)data and the beginning of the digital twin creation to foster its findability, accessibility, interoperability, and reusability. The creation of the digital twin is currently ongoing.

Published
2023
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21. Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning

Author

Hu, Yi, Zuo, Jinhang, Iannucci, Bob, and Joe-Wong, Carlee

Subjects
Computer Science - Multiagent Systems, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Systems and Control
Abstract

Internet of Things (IoT) technologies have enabled numerous data-driven mobile applications and have the potential to significantly improve environmental monitoring and hazard warnings through the deployment of a network of IoT sensors. However, these IoT devices are often power-constrained and utilize wireless communication schemes with limited bandwidth. Such power constraints limit the amount of information each device can share across the network, while bandwidth limitations hinder sensors' coordination of their transmissions. In this work, we formulate the communication planning problem of IoT sensors that track the state of the environment. We seek to optimize sensors' decisions in collecting environmental data under stringent resource constraints. We propose a multi-agent reinforcement learning (MARL) method to find the optimal communication policies for each sensor that maximize the tracking accuracy subject to the power and bandwidth limitations. MARL learns and exploits the spatial-temporal correlation of the environmental data at each sensor's location to reduce the redundant reports from the sensors. Experiments on wildfire spread with LoRA wireless network simulators show that our MARL method can learn to balance the need to collect enough data to predict wildfire spread with unknown bandwidth limitations., Comment: To be published in the 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON 2023)

Published
2023
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22. The authors respond

Author

Hoehne, Sabrina N, Iannucci, Claudia, Murthy, Vishal D, Dutil, Guillaume, and Maiolini, Arianna

Subjects
Veterinary Sciences, Agricultural, Veterinary and Food Sciences, Veterinary sciences
Published
2023

24. Author Correction: Targeted inhibition of ubiquitin signaling reverses metabolic reprogramming and suppresses glioblastoma growth

Author

Delle Donne, Rossella, Iannucci, Rosa, Rinaldi, Laura, Roberto, Luca, Oliva, Maria A., Senatore, Emanuela, Borzacchiello, Domenica, Lignitto, Luca, Giurato, Giorgio, Rizzo, Francesca, Sellitto, Assunta, Chiuso, Francesco, Castaldo, Salvatore, Scala, Giovanni, Campani, Virginia, Nele, Valeria, De Rosa, Giuseppe, D’Ambrosio, Chiara, Garbi, Corrado, Scaloni, Andrea, Weisz, Alessandro, Ambrosino, Concetta, Arcella, Antonella, and Feliciello, Antonio

Published
2024
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25. Author Correction: The European Reference Genome Atlas: piloting a decentralised approach to equitable biodiversity genomics

Author

Mc Cartney, Ann M., Formenti, Giulio, Mouton, Alice, De Panis, Diego, Marins, Luísa S., Leitão, Henrique G., Diedericks, Genevieve, Kirangwa, Joseph, Morselli, Marco, Salces-Ortiz, Judit, Escudero, Nuria, Iannucci, Alessio, Natali, Chiara, Svardal, Hannes, Fernández, Rosa, De Pooter, Tim, Joris, Geert, Strazisar, Mojca, Wood, Jonathan M. D., Herron, Katie E., Seehausen, Ole, Watts, Phillip C., Shaw, Felix, Davey, Robert P., Minotto, Alice, Fernández, José M., Böhne, Astrid, Alegria, Carla, Alioto, Tyler, Alves, Paulo C., Amorim, Isabel R., Aury, Jean-Marc, Backstrom, Niclas, Baldrian, Petr, Baltrunaite, Laima, Barta, Endre, BedHom, Bertrand, Belser, Caroline, Bergsten, Johannes, Bertrand, Laurie, Bilandija, Helena, Binzer-Panchal, Mahesh, Bista, Iliana, Blaxter, Mark, Borges, Paulo A. V., Dias, Guilherme Borges, Bosse, Mirte, Brown, Tom, Bruggmann, Rémy, Buena-Atienza, Elena, Burgin, Josephine, Buzan, Elena, Cariani, Alessia, Casadei, Nicolas, Chiara, Matteo, Chozas, Sergio, Čiampor, Jr., Fedor, Crottini, Angelica, Cruaud, Corinne, Cruz, Fernando, Dalen, Love, De Biase, Alessio, del Campo, Javier, Delic, Teo, Dennis, Alice B., Derks, Martijn F. L., Diroma, Maria Angela, Djan, Mihajla, Duprat, Simone, Eleftheriadi, Klara, Feulner, Philine G. D., Flot, Jean-François, Forni, Giobbe, Fosso, Bruno, Fournier, Pascal, Fournier-Chambrillon, Christine, Gabaldon, Toni, Garg, Shilpa, Gissi, Carmela, Giupponi, Luca, Gomez-Garrido, Jessica, González, Josefa, Grilo, Miguel L., Grüning, Björn, Guerin, Thomas, Guiglielmoni, Nadege, Gut, Marta, Haesler, Marcel P., Hahn, Christoph, Halpern, Balint, Harrison, Peter W., Heintz, Julia, Hindrikson, Maris, Höglund, Jacob, Howe, Kerstin, Hughes, Graham M., Istace, Benjamin, Cock, Mark J., Janžekovič, Franc, Jonsson, Zophonias O., Joye-Dind, Sagane, Koskimäki, Janne J., Krystufek, Boris, Kubacka, Justyna, Kuhl, Heiner, Kusza, Szilvia, Labadie, Karine, Lähteenaro, Meri, Lantz, Henrik, Lavrinienko, Anton, Leclère, Lucas, Lopes, Ricardo Jorge, Madsen, Ole, Magdelenat, Ghislaine, Magoga, Giulia, Manousaki, Tereza, Mappes, Tapio, Marques, Joao Pedro, Redondo, Gemma I. Martinez, Maumus, Florian, McCarthy, Shane A., Megens, Hendrik-Jan, Melo-Ferreira, Jose, Mendes, Sofia L., Montagna, Matteo, Moreno, Joao, Mosbech, Mai-Britt, Moura, Mónica, Musilova, Zuzana, Myers, Eugene, Nash, Will J., Nater, Alexander, Nicholson, Pamela, Niell, Manuel, Nijland, Reindert, Noel, Benjamin, Noren, Karin, Oliveira, Pedro H., Olsen, Remi-Andre, Ometto, Lino, Oomen, Rebekah A., Ossowski, Stephan, Palinauskas, Vaidas, Palsson, Snaebjorn, Panibe, Jerome P., Pauperio, Joana, Pavlek, Martina, Payen, Emilie, Pawlowska, Julia, Pellicer, Jaume, Pesole, Graziano, Pimenta, Joao, Pippel, Martin, Pirttilä, Anna Maria, Poulakakis, Nikos, Rajan, Jeena, M.C. Rego, Rúben, Resendes, Roberto, Resl, Philipp, Riesgo, Ana, Rodin-Morch, Patrik, Soares, Andre E. R., Fernandes, Carlos Rodriguez, Romeiras, Maria M., Roxo, Guilherme, Rüber, Lukas, Ruiz-Lopez, Maria Jose, Saarma, Urmas, da Silva, Luis P., Sim-Sim, Manuela, Soler, Lucile, Sousa, Vitor C., Santos, Carla Sousa, Spada, Alberto, Stefanovic, Milomir, Steger, Viktor, Stiller, Josefin, Stöck, Matthias, Struck, Torsten H., Sudasinghe, Hiranya, Tapanainen, Riikka, Tellgren-Roth, Christian, Trindade, Helena, Tukalenko, Yevhen, Urso, Ilenia, Vacherie, Benoit, Van Belleghem, Steven M., Van Oers, Kees, Vargas-Chavez, Carlos, Velickovic, Nevena, Vella, Noel, Vella, Adriana, Vernesi, Cristiano, Vicente, Sara, Villa, Sara, Pettersson, Olga Vinnere, Volckaert, Filip A. M., Voros, Judit, Wincker, Patrick, Winkler, Sylke, Ciofi, Claudio, Waterhouse, Robert M., and Mazzoni, Camila J.

Published
2024
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26. Building a Portuguese coalition for biodiversity genomics

Author

Marques, João P., Alves, Paulo C., Amorim, Isabel R., Lopes, Ricardo J., Moura, Monica, Myers, Eugene, Sim-sim, Manuela, Sousa-Santos, Carla, Alves, M. Judite, Borges, Paulo A. V., Brown, Thomas, Carneiro, Miguel, Carrapato, Carlos, Ceríaco, Luís M. P., Ciofi, Claúdio, da Silva, Luís P., Diedericks, Genevieve, Diroma, Maria Angela, Farelo, Liliana, Formenti, Giulio, Gil, Fátima, Grilo, Miguel, Iannucci, Alessio, Leitão, Henrique G., Máguas, Cristina, Mc Cartney, Ann M., Mendes, Sofia L., Moreno, João M., Morselli, Marco, Mouton, Alice, Natali, Chiara, Pereira, Fernando, Rego, Rúben M. C., Resendes, Roberto, Roxo, Guilherme, Svardal, Hannes, Trindade, Helena, Vicente, Sara, Winkler, Sylke, Alvarenga, Marcela, Amaral, Andreia J., Antunes, Agostinho, Campos, Paula F., Canário, Adelino V. M., Castilho, Rita, Castro, L. Filipe C., Crottini, Angelica, Cunha, Mónica V., Espregueira Themudo, Gonçalo, Esteves, Pedro J., Faria, Rui, Rodríguez Fernandes, Carlos, Ledoux, Jean-Baptiste, Louro, Bruno, Magalhaes, Sara, Paulo, Octávio S., Pearson, Gareth, Pimenta, João, Pina-Martins, Francisco, Santos, Teresa L., Serrão, Ester, Melo-Ferreira, José, and Sousa, Vítor C.

Published
2024
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27. The European Reference Genome Atlas: piloting a decentralised approach to equitable biodiversity genomics

Author

Mc Cartney, Ann M., Formenti, Giulio, Mouton, Alice, De Panis, Diego, Marins, Luísa S., Leitão, Henrique G., Diedericks, Genevieve, Kirangwa, Joseph, Morselli, Marco, Salces-Ortiz, Judit, Escudero, Nuria, Iannucci, Alessio, Natali, Chiara, Svardal, Hannes, Fernández, Rosa, De Pooter, Tim, Joris, Geert, Strazisar, Mojca, Wood, Jonathan M. D., Herron, Katie E., Seehausen, Ole, Watts, Phillip C., Shaw, Felix, Davey, Robert P., Minotto, Alice, Fernández, José M., Böhne, Astrid, Alegria, Carla, Alioto, Tyler, Alves, Paulo C., Amorim, Isabel R., Aury, Jean-Marc, Backstrom, Niclas, Baldrian, Petr, Baltrunaite, Laima, Barta, Endre, BedHom, Bertrand, Belser, Caroline, Bergsten, Johannes, Bertrand, Laurie, Bilandija, Helena, Binzer-Panchal, Mahesh, Bista, Iliana, Blaxter, Mark, Borges, Paulo A. V., Dias, Guilherme Borges, Bosse, Mirte, Brown, Tom, Bruggmann, Rémy, Buena-Atienza, Elena, Burgin, Josephine, Buzan, Elena, Cariani, Alessia, Casadei, Nicolas, Chiara, Matteo, Chozas, Sergio, Čiampor, Jr., Fedor, Crottini, Angelica, Cruaud, Corinne, Cruz, Fernando, Dalen, Love, De Biase, Alessio, del Campo, Javier, Delic, Teo, Dennis, Alice B., Derks, Martijn F. L., Diroma, Maria Angela, Djan, Mihajla, Duprat, Simone, Eleftheriadi, Klara, Feulner, Philine G. D., Flot, Jean-François, Forni, Giobbe, Fosso, Bruno, Fournier, Pascal, Fournier-Chambrillon, Christine, Gabaldon, Toni, Garg, Shilpa, Gissi, Carmela, Giupponi, Luca, Gomez-Garrido, Jessica, González, Josefa, Grilo, Miguel L., Grüning, Björn, Guerin, Thomas, Guiglielmoni, Nadege, Gut, Marta, Haesler, Marcel P., Hahn, Christoph, Halpern, Balint, Harrison, Peter W., Heintz, Julia, Hindrikson, Maris, Höglund, Jacob, Howe, Kerstin, Hughes, Graham M., Istace, Benjamin, Cock, Mark J., Janžekovič, Franc, Jonsson, Zophonias O., Joye-Dind, Sagane, Koskimäki, Janne J., Krystufek, Boris, Kubacka, Justyna, Kuhl, Heiner, Kusza, Szilvia, Labadie, Karine, Lähteenaro, Meri, Lantz, Henrik, Lavrinienko, Anton, Leclère, Lucas, Lopes, Ricardo Jorge, Madsen, Ole, Magdelenat, Ghislaine, Magoga, Giulia, Manousaki, Tereza, Mappes, Tapio, Marques, Joao Pedro, Redondo, Gemma I. Martinez, Maumus, Florian, McCarthy, Shane A., Megens, Hendrik-Jan, Melo-Ferreira, Jose, Mendes, Sofia L., Montagna, Matteo, Moreno, Joao, Mosbech, Mai-Britt, Moura, Mónica, Musilova, Zuzana, Myers, Eugene, Nash, Will J., Nater, Alexander, Nicholson, Pamela, Niell, Manuel, Nijland, Reindert, Noel, Benjamin, Noren, Karin, Oliveira, Pedro H., Olsen, Remi-Andre, Ometto, Lino, Oomen, Rebekah A., Ossowski, Stephan, Palinauskas, Vaidas, Palsson, Snaebjorn, Panibe, Jerome P., Pauperio, Joana, Pavlek, Martina, Payen, Emilie, Pawlowska, Julia, Pellicer, Jaume, Pesole, Graziano, Pimenta, Joao, Pippel, Martin, Pirttilä, Anna Maria, Poulakakis, Nikos, Rajan, Jeena, M.C. Rego, Rúben, Resendes, Roberto, Resl, Philipp, Riesgo, Ana, Rodin-Morch, Patrik, Soares, Andre E. R., Fernandes, Carlos Rodriguez, Romeiras, Maria M., Roxo, Guilherme, Rüber, Lukas, Ruiz-Lopez, Maria Jose, Saarma, Urmas, da Silva, Luis P., Sim-Sim, Manuela, Soler, Lucile, Sousa, Vitor C., Santos, Carla Sousa, Spada, Alberto, Stefanovic, Milomir, Steger, Viktor, Stiller, Josefin, Stöck, Matthias, Struck, Torsten H., Sudasinghe, Hiranya, Tapanainen, Riikka, Tellgren-Roth, Christian, Trindade, Helena, Tukalenko, Yevhen, Urso, Ilenia, Vacherie, Benoit, Van Belleghem, Steven M., Van Oers, Kees, Vargas-Chavez, Carlos, Velickovic, Nevena, Vella, Noel, Vella, Adriana, Vernesi, Cristiano, Vicente, Sara, Villa, Sara, Pettersson, Olga Vinnere, Volckaert, Filip A. M., Voros, Judit, Wincker, Patrick, Winkler, Sylke, Ciofi, Claudio, Waterhouse, Robert M., and Mazzoni, Camila J.

Published
2024
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29. Traumatic brain injury alters the effects of class II invariant peptide (CLIP) antagonism on chronic meningeal CLIP + B cells, neuropathology, and neurobehavioral impairment in 5xFAD mice

Author

Iannucci, Jaclyn, Dominy, Reagan, Bandopadhyay, Shreya, Arthur, E. Madison, Noarbe, Brenda, Jullienne, Amandine, Krkasharyan, Margret, Tobin, Richard P., Pereverzev, Aleksandr, Beevers, Samantha, Venkatasamy, Lavanya, Souza, Karienn A., Jupiter, Daniel C., Dabney, Alan, Obenaus, Andre, Newell-Rogers, M. Karen, and Shapiro, Lee A.

Published
2024
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30. Downregulation of praja2 restrains endocytosis and boosts tyrosine kinase receptors in kidney cancer

Author

Rinaldi, Laura, Chiuso, Francesco, Senatore, Emanuela, Borzacchiello, Domenica, Lignitto, Luca, Iannucci, Rosa, Donne, Rossella Delle, Fuggi, Mariano, Reale, Carla, Russo, Filomena, Russo, Nicola Antonino, Giurato, Giorgio, Rizzo, Francesca, Sellitto, Assunta, Santangelo, Michele, De Biase, Davide, Paciello, Orlando, D’Ambrosio, Chiara, Amente, Stefano, Garbi, Corrado, Dalla, Emiliano, Scaloni, Andrea, Weisz, Alessandro, Ambrosino, Concetta, Insabato, Luigi, and Feliciello, Antonio

Published
2024
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32. GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing

Author

Hu, Yi, Zhang, Chaoran, Andert, Edward, Singh, Harshul, Shrivastava, Aviral, Laudon, James, Zhou, Yanqi, Iannucci, Bob, and Joe-Wong, Carlee

Subjects
Computer Science - Machine Learning, Electrical Engineering and Systems Science - Systems and Control
Abstract

Careful placement of a computational application within a target device cluster is critical for achieving low application completion time. The problem is challenging due to its NP-hardness and combinatorial nature. In recent years, learning-based approaches have been proposed to learn a placement policy that can be applied to unseen applications, motivated by the problem of placing a neural network across cloud servers. These approaches, however, generally assume the device cluster is fixed, which is not the case in mobile or edge computing settings, where heterogeneous devices move in and out of range for a particular application. We propose a new learning approach called GiPH, which learns policies that generalize to dynamic device clusters via 1) a novel graph representation gpNet that efficiently encodes the information needed for choosing a good placement, and 2) a scalable graph neural network (GNN) that learns a summary of the gpNet information. GiPH turns the placement problem into that of finding a sequence of placement improvements, learning a policy for selecting this sequence that scales to problems of arbitrary size. We evaluate GiPH with a wide range of task graphs and device clusters and show that our learned policy rapidly find good placements for new problem instances. GiPH finds placements with up to 30.5% lower completion times, searching up to 3X faster than other search-based placement policies., Comment: to be published in Proceedings of Machine Learning and Systems 5 (MLSys 2023)

Published
2023

33. TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series

Author

Nikitin, Alexander, Iannucci, Letizia, and Kaski, Samuel

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

Temporally indexed data are essential in a wide range of fields and of interest to machine learning researchers. Time series data, however, are often scarce or highly sensitive, which precludes the sharing of data between researchers and industrial organizations and the application of existing and new data-intensive ML methods. A possible solution to this bottleneck is to generate synthetic data. In this work, we introduce Time Series Generative Modeling (TSGM), an open-source framework for the generative modeling of synthetic time series. TSGM includes a broad repertoire of machine learning methods: generative models, probabilistic, and simulator-based approaches. The framework enables users to evaluate the quality of the produced data from different angles: similarity, downstream effectiveness, predictive consistency, diversity, and privacy. The framework is extensible, which allows researchers to rapidly implement their own methods and compare them in a shareable environment. TSGM was tested on open datasets and in production and proved to be beneficial in both cases. Additionally to the library, the project allows users to employ command line interfaces for synthetic data generation which lowers the entry threshold for those without a programming background.

Published
2023

34. Traumatic brain injury alters the effects of class II invariant peptide (CLIP) antagonism on chronic meningeal CLIP + B cells, neuropathology, and neurobehavioral impairment in 5xFAD mice

Author

Jaclyn Iannucci, Reagan Dominy, Shreya Bandopadhyay, E. Madison Arthur, Brenda Noarbe, Amandine Jullienne, Margret Krkasharyan, Richard P. Tobin, Aleksandr Pereverzev, Samantha Beevers, Lavanya Venkatasamy, Karienn A. Souza, Daniel C. Jupiter, Alan Dabney, Andre Obenaus, M. Karen Newell-Rogers, and Lee A. Shapiro

Subjects
Alzheimer’s disease, Fluid percussion injury, Depression, Neurobehavior, Neuroinflammation, Cerebrovascular, Neurology. Diseases of the nervous system, RC346-429
Abstract

Abstract Background Traumatic brain injury (TBI) is a significant risk factor for Alzheimer’s disease (AD), and accumulating evidence supports a role for adaptive immune B and T cells in both TBI and AD pathogenesis. We previously identified B cell and major histocompatibility complex class II (MHCII)-associated invariant chain peptide (CLIP)-positive B cell expansion after TBI. We also showed that antagonizing CLIP binding to the antigen presenting groove of MHCII after TBI acutely reduced CLIP + splenic B cells and was neuroprotective. The current study investigated the chronic effects of antagonizing CLIP in the 5xFAD Alzheimer’s mouse model, with and without TBI. Methods 12-week-old male wild type (WT) and 5xFAD mice were administered either CLIP antagonist peptide (CAP) or vehicle, once at 30 min after either sham or a lateral fluid percussion injury (FPI). Analyses included flow cytometric analysis of immune cells in dural meninges and spleen, histopathological analysis of the brain, magnetic resonance diffusion tensor imaging, cerebrovascular analysis, and assessment of motor and neurobehavioral function over the ensuing 6 months. Results 9-month-old 5xFAD mice had significantly more CLIP + B cells in the meninges compared to age-matched WT mice. A one-time treatment with CAP significantly reduced this population in 5xFAD mice. Importantly, CAP also improved some of the immune, histopathological, and neurobehavioral impairments in 5xFAD mice over the ensuing six months. Although FPI did not further elevate meningeal CLIP + B cells, it did negate the ability of CAP to reduce meningeal CLIP + B cells in the 5xFAD mice. FPI at 3 months of age exacerbated some aspects of AD pathology in 5xFAD mice, including further reducing hippocampal neurogenesis, increasing plaque deposition in CA3, altering microgliosis, and disrupting the cerebrovascular structure. CAP treatment after injury ameliorated some but not all of these FPI effects.

Published
2024
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35. Reliability and reproducibility of an Italian questionnaire on 'Knowledge of high social impact Eye Diseases' (KED-IT)

Author

Valeria Iannucci, Alice Bruscolini, Tiziano Melchiorre, Alessandro Lambiase, and Alice Mannocci

Subjects
Knowledge, Questionnaire, Patient education, Eye health, Eye disease, Reliability, Medicine, Biology (General), QH301-705.5
Abstract

Background Health literacy plays an important role in public health. Although this has been demonstrated in the field of ophthalmology, there are very few specific instruments available to assess eye health literacy. This work aims to develop an Italian questionnaire on knowledge of eye diseases (Knowledge on Eye Disease, Italian version; KED-IT) and to evaluate its reliability and reproducibility. The KED-IT focuses on diseases with high social impact, specifically glaucoma, macular degeneration, diabetic retinopathy and keratoconus, which is the main cause of corneal transplant in Italy. Methods A cross-sectional study was conducted. The KED-IT was self-administered by the study participants twice. The interval between each administration (T0 and T1) was 5 to 8 days. Reliability was assessed using the KR-20 coefficient. The test-retest Cohen’s Kappa coefficient was estimated to measure the stability and reproducibility of the results obtained between T0 and T1. Results A total of 60 subjects participated in the study. The response rate at T1 was 92%. The KR-20 reliability coefficient of the 14-item KED-IT questionnaire was good with a value of 0.878. The Cohen’s kappa value for all 14 items of the KED-IT questionnaire was k = 0.747, indicating good agreement. Conclusions The KED-IT is the first specific ophthalmic knowledge questionnaire validated in the Italian language and we hope that it may be a starting point for the study of eye health literacy in the Italian population.

Published
2024
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39. CAD Model Integration Within Multidisciplinary Modelling of Electric Vehicle Energy Storage System

Author

Iannucci, Luigi, Capasso, Clemente, Vitolo, Ferdinando, Veneri, Ottorino, Patalano, Stanislao, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Tolio, Tullio A. M., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Schmitt, Robert, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Carfagni, Monica, editor, Furferi, Rocco, editor, Di Stefano, Paolo, editor, and Governi, Lapo, editor

Published
2024
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40. Successful resuscitation and neurological monitoring of a dog with out-of-hospital cardiopulmonary arrest due to pentobarbital overdose.

Author

Iannucci, Claudia, Hoehne, Sabrina N, Murthy, Vishal D, Dutil, Guillaume, and Maiolini, Arianna

Subjects
Animals, Dogs, Heart Arrest, Dog Diseases, Pentobarbital, Cardiopulmonary Resuscitation, Hospitals, Male, Drug Overdose, brainstem auditory-evoked response, electroencephalography, out-of-hospital cardiopulmonary arrest, pentobarbital intoxication, survival to hospital discharge, Veterinary Sciences
Abstract

ObjectiveTo describe the clinical signs, electroencephalographic (EEG) findings, treatment, and outcome in a dog after successful resuscitation from out-of-hospital cardiopulmonary arrest (OHCA) induced by pentobarbital intoxication.Case summaryA 10-year-old, male intact Jack Russell Terrier was referred for management of refractory status epilepticus and presented dead on arrival. After 7 minutes of cardiopulmonary resuscitation, return of spontaneous circulation was achieved, but the dog remained comatose, apneic, and lacked brainstem reflexes on neurological examination 6 hours following resuscitation. Magnetic resonance imaging showed polioencephalomalacia consistent with prolonged epileptiform activity, and EEG was initially concerning for electrocerebral inactivity. Following supportive care that included short-term mechanical ventilation, the dog made a full recovery and was discharged from the hospital alive 7 days postresuscitation. It was later revealed that the dog had been administered an unknown amount of pentobarbital during transportation, which likely contributed to the OHCA, clinical, and EEG findings.New information providedThis is the first report to describe the full recovery and hospital discharge of a dog suffering OHCA and the first description of EEG findings in a clinical veterinary patient following cardiopulmonary arrest and successful resuscitation. Factors likely contributing to successful patient outcome and potential benefits and limitations of EEG in monitoring postcardiac arrest patients are discussed.

Published
2023

41. Signal Structure of the Starlink Ku-Band Downlink

Author

Humphreys, Todd E., Iannucci, Peter A., Komodromos, Zacharias, and Graff, Andrew M.

Subjects
Electrical Engineering and Systems Science - Signal Processing
Abstract

We develop a technique for blind signal identification of the Starlink downlink signal in the 10.7 to 12.7 GHz band and present a detailed picture of the signal's structure. Importantly, the signal characterization offered herein includes the exact values of synchronization sequences embedded in the signal that can be exploited to produce pseudorange measurements. Such an understanding of the signal is essential to emerging efforts that seek to dual-purpose Starlink signals for positioning, navigation, and timing, despite their being designed solely for broadband Internet provision.

Published
2022
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44. Human cytomegalovirus infection triggers a paracrine senescence loop in renal epithelial cells

Author

Stefano Raviola, Gloria Griffante, Andrea Iannucci, Shikha Chandel, Irene Lo Cigno, Davide Lacarbonara, Valeria Caneparo, Selina Pasquero, Francesco Favero, Davide Corà, Elena Trisolini, Renzo Boldorini, Vincenzo Cantaluppi, Santo Landolfo, Marisa Gariglio, and Marco De Andrea

Subjects
Biology (General), QH301-705.5
Abstract

Abstract Human cytomegalovirus (HCMV) is an opportunistic pathogen causing severe diseases in immunosuppressed individuals. To replicate its double-stranded DNA genome, HCMV induces profound changes in cellular homeostasis that may resemble senescence. However, it remains to be determined whether HCMV-induced senescence contributes to organ-specific pathogenesis. Here, we show a direct cytopathic effect of HCMV on primary renal proximal tubular epithelial cells (RPTECs), a natural setting of HCMV disease. We find that RPTECs are fully permissive for HCMV replication, which endows them with an inflammatory gene signature resembling the senescence-associated secretory phenotype (SASP), as confirmed by the presence of the recently established SenMayo gene set, which is not observed in retina-derived epithelial (ARPE-19) cells. Although HCMV-induced senescence is not cell-type specific, as it can be observed in both RPTECs and human fibroblasts (HFFs), only infected RPTECs show downregulation of LAMINB1 and KI67 mRNAs, and enhanced secretion of IL-6 and IL-8, which are well-established hallmarks of senescence. Finally, HCMV-infected RPTECs have the ability to trigger a senescence/inflammatory loop in an IL-6-dependent manner, leading to the development of a similar senescence/inflammatory phenotype in neighboring uninfected cells. Overall, our findings raise the intriguing possibility that this unique inflammatory loop contributes to HCMV-related pathogenesis in the kidney.

Published
2024
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45. Author Correction: Targeted inhibition of ubiquitin signaling reverses metabolic reprogramming and suppresses glioblastoma growth

Author

Rossella Delle Donne, Rosa Iannucci, Laura Rinaldi, Luca Roberto, Maria A. Oliva, Emanuela Senatore, Domenica Borzacchiello, Luca Lignitto, Giorgio Giurato, Francesca Rizzo, Assunta Sellitto, Francesco Chiuso, Salvatore Castaldo, Giovanni Scala, Virginia Campani, Valeria Nele, Giuseppe De Rosa, Chiara D’Ambrosio, Corrado Garbi, Andrea Scaloni, Alessandro Weisz, Concetta Ambrosino, Antonella Arcella, and Antonio Feliciello

Subjects
Biology (General), QH301-705.5
Published
2024
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46. Author Correction: The European Reference Genome Atlas: piloting a decentralised approach to equitable biodiversity genomics

Author

Ann M. Mc Cartney, Giulio Formenti, Alice Mouton, Diego De Panis, Luísa S. Marins, Henrique G. Leitão, Genevieve Diedericks, Joseph Kirangwa, Marco Morselli, Judit Salces-Ortiz, Nuria Escudero, Alessio Iannucci, Chiara Natali, Hannes Svardal, Rosa Fernández, Tim De Pooter, Geert Joris, Mojca Strazisar, Jonathan M. D. Wood, Katie E. Herron, Ole Seehausen, Phillip C. Watts, Felix Shaw, Robert P. Davey, Alice Minotto, José M. Fernández, Astrid Böhne, Carla Alegria, Tyler Alioto, Paulo C. Alves, Isabel R. Amorim, Jean-Marc Aury, Niclas Backstrom, Petr Baldrian, Laima Baltrunaite, Endre Barta, Bertrand BedHom, Caroline Belser, Johannes Bergsten, Laurie Bertrand, Helena Bilandija, Mahesh Binzer-Panchal, Iliana Bista, Mark Blaxter, Paulo A. V. Borges, Guilherme Borges Dias, Mirte Bosse, Tom Brown, Rémy Bruggmann, Elena Buena-Atienza, Josephine Burgin, Elena Buzan, Alessia Cariani, Nicolas Casadei, Matteo Chiara, Sergio Chozas, Fedor Čiampor, Angelica Crottini, Corinne Cruaud, Fernando Cruz, Love Dalen, Alessio De Biase, Javier del Campo, Teo Delic, Alice B. Dennis, Martijn F. L. Derks, Maria Angela Diroma, Mihajla Djan, Simone Duprat, Klara Eleftheriadi, Philine G. D. Feulner, Jean-François Flot, Giobbe Forni, Bruno Fosso, Pascal Fournier, Christine Fournier-Chambrillon, Toni Gabaldon, Shilpa Garg, Carmela Gissi, Luca Giupponi, Jessica Gomez-Garrido, Josefa González, Miguel L. Grilo, Björn Grüning, Thomas Guerin, Nadege Guiglielmoni, Marta Gut, Marcel P. Haesler, Christoph Hahn, Balint Halpern, Peter W. Harrison, Julia Heintz, Maris Hindrikson, Jacob Höglund, Kerstin Howe, Graham M. Hughes, Benjamin Istace, Mark J. Cock, Franc Janžekovič, Zophonias O. Jonsson, Sagane Joye-Dind, Janne J. Koskimäki, Boris Krystufek, Justyna Kubacka, Heiner Kuhl, Szilvia Kusza, Karine Labadie, Meri Lähteenaro, Henrik Lantz, Anton Lavrinienko, Lucas Leclère, Ricardo Jorge Lopes, Ole Madsen, Ghislaine Magdelenat, Giulia Magoga, Tereza Manousaki, Tapio Mappes, Joao Pedro Marques, Gemma I. Martinez Redondo, Florian Maumus, Shane A. McCarthy, Hendrik-Jan Megens, Jose Melo-Ferreira, Sofia L. Mendes, Matteo Montagna, Joao Moreno, Mai-Britt Mosbech, Mónica Moura, Zuzana Musilova, Eugene Myers, Will J. Nash, Alexander Nater, Pamela Nicholson, Manuel Niell, Reindert Nijland, Benjamin Noel, Karin Noren, Pedro H. Oliveira, Remi-Andre Olsen, Lino Ometto, Rebekah A. Oomen, Stephan Ossowski, Vaidas Palinauskas, Snaebjorn Palsson, Jerome P. Panibe, Joana Pauperio, Martina Pavlek, Emilie Payen, Julia Pawlowska, Jaume Pellicer, Graziano Pesole, Joao Pimenta, Martin Pippel, Anna Maria Pirttilä, Nikos Poulakakis, Jeena Rajan, Rúben M.C. Rego, Roberto Resendes, Philipp Resl, Ana Riesgo, Patrik Rodin-Morch, Andre E. R. Soares, Carlos Rodriguez Fernandes, Maria M. Romeiras, Guilherme Roxo, Lukas Rüber, Maria Jose Ruiz-Lopez, Urmas Saarma, Luis P. da Silva, Manuela Sim-Sim, Lucile Soler, Vitor C. Sousa, Carla Sousa Santos, Alberto Spada, Milomir Stefanovic, Viktor Steger, Josefin Stiller, Matthias Stöck, Torsten H. Struck, Hiranya Sudasinghe, Riikka Tapanainen, Christian Tellgren-Roth, Helena Trindade, Yevhen Tukalenko, Ilenia Urso, Benoit Vacherie, Steven M. Van Belleghem, Kees Van Oers, Carlos Vargas-Chavez, Nevena Velickovic, Noel Vella, Adriana Vella, Cristiano Vernesi, Sara Vicente, Sara Villa, Olga Vinnere Pettersson, Filip A. M. Volckaert, Judit Voros, Patrick Wincker, Sylke Winkler, Claudio Ciofi, Robert M. Waterhouse, and Camila J. Mazzoni

Subjects
General. Including nature conservation, geographical distribution, QH1-199.5
Published
2024
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47. Incidence of All-Cause, Cardiovascular, and Atrial Fibrillation-Related Hospitalizations

Author

Danilo Menichelli, MD, Pasquale Pignatelli, MD, PhD, Tommaso Brogi, MD, Arianna Pannunzio, MD, Francesco Violi, MD, Gregory Y.H. Lip, MD, Daniele Pastori, MD, Tiziana Di Stefano, Elio Sabbatini, Patrizia Iannucci, Alberto Befani, Ilaria Maria Palumbo, and Emanuele Valeriani

Subjects
amiodarone, antiarrhythmic, atrial fibrillation, digoxin, flecainide, hospitalization, Diseases of the circulatory (Cardiovascular) system, RC666-701, Medical emergencies. Critical care. Intensive care. First aid, RC86-88.9
Abstract

Background: Atrial fibrillation (AF) is associated with an increased risk of hospital admission, but few data on reasons for hospitalization and on the role of anti-arrhythmic drugs are available. Objectives: The purpose of this study was to investigate the incidence rate and factors associated with all-cause, cardiovascular, and AF-related hospitalizations. Methods: Prospective ongoing ATHERO-AF (Atherosclerosis in Atrial Fibrillation) cohort study enrolling AF patients on oral anticoagulants. Primary end points were all-cause, cardiovascular, and AF-related hospitalization, the latter defined as AF recurrences for paroxysmal AF and high-rate symptomatic AF episodes for persistent/permanent AF patients. Results: 2,782 patients were included (43.5% female; mean age was 74.6 ± 9.1 years). During a mean follow-up of 31 ± 26.8 months, 1,205 (12.1%/year) all-cause, 533 cardiac (5.7%/year), and 180 (2.0%/year) AF-related hospitalizations occurred. Predictors of AF-related hospitalizations were the use of flecainide/propafenone in both paroxysmal and persistent/permanent AF patients (HR: 1.861; 95% CI: 1.116 to 3.101 and 1.947; 95% CI: 1.069 to 3.548, respectively). Amiodarone (HR: 3.012; 95% CI: 1.835-4.943), verapamil/diltiazem (HR: 2.067; 95% CI: 1.117-3.825), and cancer (HR: 1.802; 95% CI: 1.057-3.070) but not beta-blockers and digoxin were associated with an increased risk of AF-related hospitalizations in persistent/permanent AF patients. Conclusions: Elderly AF patients frequently undergo hospitalizations for both cardiovascular and noncardiovascular causes. The use of anti-arrhythmic drugs was associated with an increased risk of AF-related hospitalization suggesting a scarce effect of these drugs in preventing AF episodes. Therefore, their use should be carefully considered and reserved for symptomatic patients with frequent AF recurrences.

Published
2024
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50. Incident thrombocytopenia and bleeding risk in elderly patients with atrial fibrillation on direct oral anticoagulants: insights from the ATHEROsclerosis in Atrial Fibrillation study

Author

Carnevale, Roberto, Palumbo, Ilaria Maria, Pannunzio, Arianna, Nocella, Cristina, Cammisotto, Vittoria, Bartimoccia, Simona, Castellani, Valentina, Stefano, Tiziana Di, Sabbatini, Elio, Iannucci, Patrizia, Menichelli, Danilo, Crisanti, Luca, Brogi, Tommaso, Lip, Gregory Y.H., Farcomeni, Alessio, Pignatelli, Pasquale, and Pastori, Daniele

Published
2024
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