18,828 results on '"Zambon"'
Search Results
2. Plasma activated water and phytoplasma interactions in Catharanthus roseus alkaloid pathway
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Contaldo, Nicoletta, Zambon, Yuri, Laurita, Romolo, Gherardi, Matteo, Colombo, Vittorio, and Bertaccini, Assunta
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- 2023
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3. No evidence of magma ocean on Io based on Juno/JIRAM data
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Tosi, Federico, Mura, Alessandro, and Zambon, Francesca
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Astrophysics - Earth and Planetary Astrophysics ,Astrophysics - Instrumentation and Methods for Astrophysics - Abstract
A recent paper (ref. 1) used infrared images of Io acquired by the Juno/JIRAM instrument to derive a latitudinal dependence of the spectral radiance and conclude that such latitudinal dependence is consistent with a magma ocean model. We challenge their conclusions, and we draw attention to some potential issues with their analysis. In this letter, we will use three arguments to show that: (1) the (ref. 1) paper uses saturated data; (2) the M-filter of the JIRAM imager is only a weak and incomplete proxy for the total power output; and finally (3) even assuming that the radiance was correctly estimated, the latitudinal dependence of the 4.8-$\mu$m spectral radiance is not statistically significant. These facts, taken together, demonstrate that the results presented in (ref. 1) are not sufficient to confirm consistency with a magma ocean model on Io., Comment: 8 pages, 2 figures, 2 tables
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- 2024
4. Quantum processes as thermodynamic resources: the role of non-Markovianity
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Zambon, Guilherme and Adesso, Gerardo
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Quantum Physics - Abstract
Quantum thermodynamics studies how quantum systems and operations may be exploited as sources of work to perform useful thermodynamic tasks. In real-world conditions, the evolution of open quantum systems typically displays memory effects, resulting in a non-Markovian dynamics. The associated information backflow has been observed to provide advantage in certain thermodynamic tasks. However, a general operational connection between non-Markovianity and thermodynamics in the quantum regime has remained elusive. Here, we analyze the role of non-Markovianity in the central task of extracting work via thermal operations from general multitime quantum processes, as described by process tensors. By defining a hierarchy of four classes of extraction protocols, expressed as quantum combs, we reveal three different physical mechanisms (work investment, multitime correlations, and system-environment correlations) through which non-Markovianity increases the work distillable from the process. The advantages arising from these mechanisms are linked precisely to a quantifier of the non-Markovianity of the process. These results show in very general terms how non-Markovianity of any given quantum process is a fundamental resource that unlocks an enhanced performance in thermodynamics.
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- 2024
5. Effects of COVID-19 outbreak on the sound environment of the city of Milan, Italy
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Zambon Giovanni, Confalonieri Chiara, Angelini Fabio, and Benocci Roberto
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sound environment ,covid-19 pandemic ,noise pollution ,dynamap project ,Environmental technology. Sanitary engineering ,TD1-1066 - Abstract
In this paper, we present the results of the noise monitoring in the urban area of Milan, Italy, associated with COVID-19 outbreak. In order to limit the diffusion of the pandemic, Italy adopted growing levels of restrictive measures, which ended with a 41-day lockdown from March 23 to May 3 2020. This action created a new kind of environment including a remarkable reduction of air, water and soil pollutants, together with a partial recovery of the ecosystems otherwise compromised. The presence of a permanent noise monitoring system made of 24 sensors installed in the city of Milan, allowed capturing the changes in the urban sound environment in a pre, during and post-lockdown period (months from February to June 2020). The comparison of the noise levels in terms of both absolute noise levels (Lden) and hourly noise profiles (median over lockdown period) with the same period of 2019, showed a dramatic reduction of the noise levels of approximately 6 dB. Splitting the contribution of all-non-traffic noises or anomalous noise events (ANE) from the recorded noise levels, we observe a greater contribution of the latter during the lockdown period. The use of DYNAMAP noise prediction system over an extended urban area allowed the evaluation of the population exposure to noise, estimating an increase of 14.9% and 16.4% of the exposed population to noises with Lden below 53 dB(A) and Lnight below 45 dB(A) with respect to 2019.
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- 2021
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6. Einfluss von Regenmustern auf Splash-Erosion von sandigem Lehm
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Loos Lorenz, Zambon Nives, and Klik Andreas
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bodenerosion ,spritzerosion ,regenintensität ,regensimulator ,morgan splash cups ,soil erosion ,splash erosion ,rainfall intensity ,rainfall simulator ,Environmental sciences ,GE1-350 - Abstract
Die Wirkung unterschiedlich intensiver Regenereignisse auf Splash-Erosion ist noch nicht genau bekannt. Um diese zu untersuchen, wurde sandiger Lehm in einem Laborversuch durch einen Starkregensimulator mit zunehmender, abnehmender oder konstanter Regenintensität beregnet. Alle Intensitätsabfolgen wiesen im Mittel eine Regenintensität von 24,7 mm h−1 auf und bestanden aus drei Intensitätsstufen mit einer Beregnungsdauer von je 20 min. Der ausschließlich durch Splash-Erosion abgetragene Boden wurde nach jeder Beregnungsphase gesammelt. Die Ergebnisse zeigen, dass Regenereignisse mit hoher Intensität am Anfang zu 32 % mehr Splash-Erosion führen als jene mit maximaler Intensität am Ende. Die kumulativ wirkende kinetische Energie der Regentropfen, verstärkt durch einen dünnen Wasserfilm auf den Proben, führt dazu, dass die Splash-Erosion am Ende einer Simulation stärker wirkt als zu Beginn. Aus den Untersuchungsergebnissen kann zudem durch Extrapolation der Regressionsgeraden eine minimale Regenintensität zwischen 10 mm h−1 und 15 mm h−1 zur Erzeugung von Splash-Erosion angenommen werden.
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- 2021
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7. Widespread occurrence of lava lakes on Io observed from Juno
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Mura, Alessandro, Tosi, Federico, Zambon, Francesca, Lopes, Rosaly M. C., Mouginis-Mark, Pete J., Radebaugh, Jani, Adriani, Alberto, Bolton, Scott, Rathbun, Julie, Cicchetti, Andrea, Grassi, Davide, Noschese, Raffaella, Piccioni, Giuseppe, Plainaki, Christina, Sordini, Roberto, and Sindoni, Giuseppe
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Astrophysics - Earth and Planetary Astrophysics - Abstract
We report recent observations of lava lakes within patera on Io made by the JIRAM imager/spectrometer on board the Juno spacecraft, taken during close observation occurred in the extended mission. At least 40 lava lakes have been identified from JIRAM observations. The majority (>50%) of paterae have elevated thermal signatures when imaged at sufficiently high spatial resolution (a few km/pixel), implying that lava lakes are ubiquitous on Io. The annular width of the spattering region around the margins, a characteristic of lava lakes, is of the order of few meters to tens of meters, the diameter of the observed lava lakes ranges from 10 to 100 km. The thickness of the crust in the center of some lava lakes is of the order of 5-10 m; we estimate that this crust is a few years old. Also, the bulk of the thermal emission comes from the much larger crust and not from the smaller exposed lava, so the total power output cannot be calculated from the 5-um radiance alone. Eight of the proposed lava lakes have never been reported previously as active hotspots.
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- 2024
8. Motional entanglement of remote optically levitated nanoparticles
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Zambon, Nicola Carlon, Rossi, Massimiliano, Frimmer, Martin, Novotny, Lukas, Gonzalez-Ballestero, Carlos, Romero-Isart, Oriol, and Militaru, Andrei
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Quantum Physics - Abstract
We show how to entangle the motion of optically levitated nanoparticles in distant optical tweezers. The scheme consists in coupling the inelastically scattered light of each particle into transmission lines and directing it towards the other particle. The interference between this light and the background field introduces an effective coupling between the two particles while simultaneously reducing the effect of recoil heating. We analyze the system dynamics, showing that both transient and conditional entanglement between remote particles can be achieved under realistic experimental conditions.
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- 2024
9. Quantum Delocalization of a Levitated Nanoparticle
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Rossi, Massimiliano, Militaru, Andrei, Zambon, Nicola Carlon, Riera-Campeny, Andreu, Romero-Isart, Oriol, Frimmer, Martin, and Novotny, Lukas
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Quantum Physics ,Physics - Optics - Abstract
Every massive particle behaves like a wave, according to quantum physics. Yet, this characteristic wave nature has only been observed in double-slit experiments with microscopic systems, such as atoms and molecules. The key aspect is that the wavefunction describing the motion of these systems extends coherently over a distance comparable to the slit separation, much larger than the size of the system itself. Preparing these states of more massive and complex objects remains an outstanding challenge. While the motion of solid-state oscillators can now be controlled at the level of single quanta, their coherence length remains comparable to the zero-point motion, limited to subatomic distances. Here, we prepare a delocalized state of a levitating solid-state nanosphere with coherence length exceeding the zero-point motion. We first cool its motion to the ground state. Then, by modulating the stiffness of the confinement potential, we achieve more than a threefold increment of the initial coherence length with minimal added noise. Optical levitation gives us the necessary control over the confinement that other mechanical platforms lack. Our work is a stepping stone towards the generation of delocalization scales comparable to the object size, a crucial regime for macroscopic quantum experiments, and towards quantum-enhanced force sensing with levitated particles.
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- 2024
10. Investigation on clusters stability in DYNAMAP’s monitoring network during Covid-19 outbreak
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Benocci Roberto, Roman H. Eduardo, Confalonieri Chiara, and Zambon Giovanni
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noise mapping ,cluster analysis ,dynamap ,covid-19 ,traffic noise pattern ,Environmental technology. Sanitary engineering ,TD1-1066 - Abstract
From March 23rd to May 3rd 2020, Italy underwent a complete lockdown in the attempt to contain the spread of the pandemic due to Covid-19 outbreak. During this period, a new kind of environment has been experienced in all cities, resulting in an abatement of traffic noise levels. Consequently, due to the prohibition of all non-essential activities, traffic noise dynamics changed as well. In this paper, we analyse the data recorded from the permanent noise monitoring network installed in the pilot area of the city of Milan, Italy. The results show how, besides a dramatic reduction of the noise levels (about 6 dB on average), also the noise pattern was profoundly changed. This is particularly important in the framework of DYNAMAP, a statistically based European project able to predict traffic noise over an extended area based on the noise recorded by limited number of monitoring stations. The change of the traffic dynamics, resulting in different noise patterns of the normalized hourly median profiles for each sensor, pose some limitations about the use of such predicting tool during extraordinary situations such as that experienced during a lockdown.
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- 2020
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11. Noise at the time of COVID 19: The impact in some areas in Rome and Milan, Italy
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Pagès Rosa Maria Alsina, Alías Francesc, Bellucci Patrizia, Cartolano Pier Paolo, Coppa Ilaria, Peruzzi Laura, Bisceglie Alessandro, and Zambon Giovanni
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effects of the pandemic on noise ,change in traffic noise during covid-19 ,urban ad suburban noise during pandemic ,Environmental technology. Sanitary engineering ,TD1-1066 - Abstract
The COVID-19 pandemic was confirmed in Italy at the end of January 2020, when the first positive cases for the virus were identified. At the beginning of March, the virus had spread to all Italian regions and on 10 March 2020 the lockdown phase began, limiting the movement of people and prohibiting almost all commercial activities, businesses and non-essential industries. As a result, millions of people were forced to stay at home, causing a drastic drop in traffic volume, which significantly changed the acoustic environment and air quality of cities. On 4 May 2020, the lockdown was partially lifted and activities were progressively reopened. Therefore, traffic gradually started to increase and, consequently, the noise emitted by motor vehicles. This behaviour was confirmed by the data collected by the DYNAMAP system, an automatic platform developed within the LIFE DYNAMAP project, providing real time traffic noise maps in terms of sound pressure levels and impacts at receivers (people and dwellings exposed to noise level bands). In this paper traffic and non-traffic-related noise events in the cities of Rome and Milan from March to May 2020 are analysed and compared to the corresponding values in 2019 to evaluate the effects of the lockdown period.
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- 2020
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12. Diurnal Stability Of Peripapillary Vessel Density And Nerve Fiber Layer Thickness On Optical Coherence Tomography Angiography In Healthy, Ocular Hypertension And Glaucoma Eyes
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Bochicchio S, Milani P, Urbini LE, Bulone E, Carmassi L, Fratantonio E, Castegna G, Scotti L, Zambon A, and Bergamini F
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Glaucoma ,optical coherence tomography angiography ,vessel density ,daily fluctuations ,retinal fiber layer ,Ophthalmology ,RE1-994 - Abstract
Sara Bochicchio,1 Paolo Milani,1 Lara Enrica Urbini,1 Ennio Bulone,1 Luciana Carmassi,1 Elena Fratantonio,1 Giacomo Castegna,1 Lorenza Scotti,2 Antonella Zambon,2 Fulvio Bergamini1 1Ophthalmology Department, Istituto Auxologico Italiano, Milan, Italy; 2Statistics and Quantitative Methods Department, University of Milano-Bicocca, Milan, ItalyCorrespondence: Paolo MilaniIstituto Auxologico Italiano, Via Mercalli 30, Milan, ItalyTel +39 2 3385840232Fax +39 2 20422262Email dottpaolomilani@hotmail.comPurpose: By using optical coherence tomography angiography (OCTA), to evaluate diurnal changes of the following parameters: vessel density in the peripapillary area (PP-VD) and in the optic nerve head (ONH-VD); thickness of retinal nerve fibre layer (RNFL) and ganglion cell complex (GCC).Methods: All prospectively enrolled participants were imaged on the same day at 8 am and 7 pm by means of the XR Avanti device with AngioVue and AngioAnalytics software (Optovue Inc., Fremont, CA, USA). Only eyes with correct automatic segmentation and good-quality images (scan quality > 7/10) were included.Results: Forty-six eyes from 28 patients with glaucoma, 53 from 31 patients with ocular hypertension, and 62 from 38 controls were assessed. The mean measurements of all parameters investigated were significantly different in the morning and in the evening values in all three groups, with lower values in glaucomatous eyes (p0.1).Conclusion: Vessel density, GCC and RNFL were stable during daytime thus corroborating the clinical relevance of OCTA regardless the time of acquisition.Keywords: glaucoma, optical coherence tomography angiography, vessel density, daily fluctuations, retinal fiber layer
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- 2019
13. Process tensor distinguishability measures
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Zambon, Guilherme
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Quantum Physics - Abstract
Process tensors are quantum combs describing the evolution of open quantum systems through multiple steps of a quantum dynamics. While there is more than one way to measure how different two processes are, special care must be taken to ensure quantifiers obey physically desirable conditions such as data processing inequalities. Here, we analyze two classes of distinguishability measures commonly used in general applications of quantum combs. We show that the first class, called Choi divergences, does not satisfy an important data processing inequality, while the second one, which we call generalized divergences, does. We also extend to quantum combs some other relevant results of generalized divergences of quantum channels. Finally, given the properties we proved, we argue that generalized divergences may be more adequate than Choi divergences for distinguishing quantum combs in most of their applications. Particularly, this is crucial for defining monotones for resource theories whose states have a comb structure, such as resource theories of quantum processes and resource theories of quantum strategies.
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- 2024
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14. Learning Latent Graph Structures and their Uncertainty
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Manenti, Alessandro, Zambon, Daniele, and Alippi, Cesare
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Computer Science - Machine Learning ,Computer Science - Artificial Intelligence ,Statistics - Machine Learning - Abstract
Within a prediction task, Graph Neural Networks (GNNs) use relational information as an inductive bias to enhance the model's accuracy. As task-relevant relations might be unknown, graph structure learning approaches have been proposed to learn them while solving the downstream prediction task. In this paper, we demonstrate that minimization of a point-prediction loss function, e.g., the mean absolute error, does not guarantee proper learning of the latent relational information and its associated uncertainty. Conversely, we prove that a suitable loss function on the stochastic model outputs simultaneously grants (i) the unknown adjacency matrix latent distribution and (ii) optimal performance on the prediction task. Finally, we propose a sampling-based method that solves this joint learning task. Empirical results validate our theoretical claims and demonstrate the effectiveness of the proposed approach.
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- 2024
15. Influenza and Respiratory Virus Surveillance, Vaccine Uptake, and Effectiveness at a Time of Cocirculating COVID-19: Protocol for the English Primary Care Sentinel System for 2020-2021
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de Lusignan, Simon, Lopez Bernal, Jamie, Byford, Rachel, Amirthalingam, Gayatri, Ferreira, Filipa, Akinyemi, Oluwafunmi, Andrews, Nick, Campbell, Helen, Dabrera, Gavin, Deeks, Alexandra, Elliot, Alex J, Krajenbrink, Else, Liyanage, Harshana, McGagh, Dylan, Okusi, Cecilia, Parimalanathan, Vaishnavi, Ramsay, Mary, Smith, Gillian, Tripathy, Manasa, Williams, John, Victor, William, Zambon, Maria, Howsam, Gary, Nicholson, Brian David, Tzortziou Brown, Victoria, Butler, Christopher C, Joy, Mark, and Hobbs, FD Richard
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Public aspects of medicine ,RA1-1270 - Abstract
BackgroundThe Oxford–Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) and Public Health England (PHE) are commencing their 54th season of collaboration at a time when SARS-CoV-2 infections are likely to be cocirculating with the usual winter infections. ObjectiveThe aim of this study is to conduct surveillance of influenza and other monitored respiratory conditions and to report on vaccine uptake and effectiveness using nationally representative surveillance data extracted from primary care computerized medical records systems. We also aim to have general practices collect virology and serology specimens and to participate in trials and other interventional research. MethodsThe RCGP RSC network comprises over 1700 general practices in England and Wales. We will extract pseudonymized data twice weekly and are migrating to a system of daily extracts. First, we will collect pseudonymized, routine, coded clinical data for the surveillance of monitored and unexpected conditions; data on vaccine exposure and adverse events of interest; and data on approved research study outcomes. Second, we will provide dashboards to give general practices feedback about levels of care and data quality, as compared to other network practices. We will focus on collecting data on influenza-like illness, upper and lower respiratory tract infections, and suspected COVID-19. Third, approximately 300 practices will participate in the 2020-2021 virology and serology surveillance; this will include responsive surveillance and long-term follow-up of previous SARS-CoV-2 infections. Fourth, member practices will be able to recruit volunteer patients to trials, including early interventions to improve COVID-19 outcomes and point-of-care testing. Lastly, the legal basis for our surveillance with PHE is Regulation 3 of the Health Service (Control of Patient Information) Regulations 2002; other studies require appropriate ethical approval. ResultsThe RCGP RSC network has tripled in size; there were previously 100 virology practices and 500 practices overall in the network and we now have 322 and 1724, respectively. The Oxford–RCGP Clinical Informatics Digital Hub (ORCHID) secure networks enable the daily analysis of the extended network; currently, 1076 practices are uploaded. We are implementing a central swab distribution system for patients self-swabbing at home in addition to in-practice sampling. We have converted all our primary care coding to Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) coding. Throughout spring and summer 2020, the network has continued to collect specimens in preparation for the winter or for any second wave of COVID-19 cases. We have collected 5404 swabs and detected 623 cases of COVID-19 through extended virological sampling, and 19,341 samples have been collected for serology. This shows our preparedness for the winter season. ConclusionsThe COVID-19 pandemic has been associated with a groundswell of general practices joining our network. It has also created a permissive environment in which we have developed the capacity and capability of the national primary care surveillance systems and our unique public health institute, the RCGP and University of Oxford collaboration.
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- 2021
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16. Incidence of haploidy and triploidy in trophectoderm biopsies of blastocysts derived from normally and abnormally fertilized oocytes
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Girardi, Laura, Patassini, Cristina, Miravet Valenciano, Jose, Sato, Yoshimi, Fagundes Cagnin, Natalia, Castellón, Jose Antonio, Cogo, Francesco, Zambon, Paola, Blesa, David, Jimenez Almazan, Jorge, Akinwole, Adedoyin, Coprerski, Bruno, and Rubio, Carmen
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- 2024
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17. Identity in the nanoworld: processes and contextuality
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Córdoba, Mariana, Alassia, Fiorela, and Zambon, Alfio
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- 2024
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18. European Society of Intensive Care Medicine guidelines on end of life and palliative care in the intensive care unit
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Kesecioglu, Jozef, Rusinova, Katerina, Alampi, Daniela, Arabi, Yaseen M., Benbenishty, Julie, Benoit, Dominique, Boulanger, Carole, Cecconi, Maurizio, Cox, Christopher, van Dam, Marjel, van Dijk, Diederik, Downar, James, Efstathiou, Nikolas, Endacott, Ruth, Galazzi, Alessandro, van Gelder, Fiona, Gerritsen, Rik T., Girbes, Armand, Hawyrluck, Laura, Herridge, Margaret, Hudec, Jan, Kentish-Barnes, Nancy, Kerckhoffs, Monika, Latour, Jos M., Malaska, Jan, Marra, Annachiara, Meddick-Dyson, Stephanie, Mentzelopoulos, Spyridon, Mer, Mervyn, Metaxa, Victoria, Michalsen, Andrej, Mishra, Rajesh, Mistraletti, Giovanni, van Mol, Margo, Moreno, Rui, Nelson, Judith, Suñer, Andrea Ortiz, Pattison, Natalie, Prokopova, Tereza, Puntillo, Kathleen, Puxty, Kathryn, Qahtani, Samah Al, Radbruch, Lukas, Rodriguez-Ruiz, Emilio, Sabar, Ron, Schaller, Stefan J., Siddiqui, Shahla, Sprung, Charles L., Umbrello, Michele, Vergano, Marco, Zambon, Massimo, Zegers, Marieke, Darmon, Michael, and Azoulay, Elie
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- 2024
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19. The Oxford Royal College of General Practitioners Clinical Informatics Digital Hub: Protocol to Develop Extended COVID-19 Surveillance and Trial Platforms
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de Lusignan, Simon, Jones, Nicholas, Dorward, Jienchi, Byford, Rachel, Liyanage, Harshana, Briggs, John, Ferreira, Filipa, Akinyemi, Oluwafunmi, Amirthalingam, Gayatri, Bates, Chris, Lopez Bernal, Jamie, Dabrera, Gavin, Eavis, Alex, Elliot, Alex J, Feher, Michael, Krajenbrink, Else, Hoang, Uy, Howsam, Gary, Leach, Jonathan, Okusi, Cecilia, Nicholson, Brian, Nieri, Philip, Sherlock, Julian, Smith, Gillian, Thomas, Mark, Thomas, Nicholas, Tripathy, Manasa, Victor, William, Williams, John, Wood, Ian, Zambon, Maria, Parry, John, O’Hanlon, Shaun, Joy, Mark, Butler, Chris, Marshall, Martin, and Hobbs, FD Richard
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Public aspects of medicine ,RA1-1270 - Abstract
BackgroundRoutinely recorded primary care data have been used for many years by sentinel networks for surveillance. More recently, real world data have been used for a wider range of research projects to support rapid, inexpensive clinical trials. Because the partial national lockdown in the United Kingdom due to the coronavirus disease (COVID-19) pandemic has resulted in decreasing community disease incidence, much larger numbers of general practices are needed to deliver effective COVID-19 surveillance and contribute to in-pandemic clinical trials. ObjectiveThe aim of this protocol is to describe the rapid design and development of the Oxford Royal College of General Practitioners Clinical Informatics Digital Hub (ORCHID) and its first two platforms. The Surveillance Platform will provide extended primary care surveillance, while the Trials Platform is a streamlined clinical trials platform that will be integrated into routine primary care practice. MethodsWe will apply the FAIR (Findable, Accessible, Interoperable, and Reusable) metadata principles to a new, integrated digital health hub that will extract routinely collected general practice electronic health data for use in clinical trials and provide enhanced communicable disease surveillance. The hub will be findable through membership in Health Data Research UK and European metadata repositories. Accessibility through an online application system will provide access to study-ready data sets or developed custom data sets. Interoperability will be facilitated by fixed linkage to other key sources such as Hospital Episodes Statistics and the Office of National Statistics using pseudonymized data. All semantic descriptors (ie, ontologies) and code used for analysis will be made available to accelerate analyses. We will also make data available using common data models, starting with the US Food and Drug Administration Sentinel and Observational Medical Outcomes Partnership approaches, to facilitate international studies. The Surveillance Platform will provide access to data for health protection and promotion work as authorized through agreements between Oxford, the Royal College of General Practitioners, and Public Health England. All studies using the Trials Platform will go through appropriate ethical and other regulatory approval processes. ResultsThe hub will be a bottom-up, professionally led network that will provide benefits for member practices, our health service, and the population served. Data will only be used for SQUIRE (surveillance, quality improvement, research, and education) purposes. We have already received positive responses from practices, and the number of practices in the network has doubled to over 1150 since February 2020. COVID-19 surveillance has resulted in tripling of the number of virology sites to 293 (target 300), which has aided the collection of the largest ever weekly total of surveillance swabs in the United Kingdom as well as over 3000 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) serology samples. Practices are recruiting to the PRINCIPLE (Platform Randomised trial of INterventions against COVID-19 In older PeopLE) trial, and these participants will be followed up through ORCHID. These initial outputs demonstrate the feasibility of ORCHID to provide an extended national digital health hub. ConclusionsORCHID will provide equitable and innovative use of big data through a professionally led national primary care network and the application of FAIR principles. The secure data hub will host routinely collected general practice data linked to other key health care repositories for clinical trials and support enhanced in situ surveillance without always requiring large volume data extracts. ORCHID will support rapid data extraction, analysis, and dissemination with the aim of improving future research and development in general practice to positively impact patient care. International Registered Report Identifier (IRRID)DERR1-10.2196/19773
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- 2020
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20. Emergence of a Novel Coronavirus (COVID-19): Protocol for Extending Surveillance Used by the Royal College of General Practitioners Research and Surveillance Centre and Public Health England
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de Lusignan, Simon, Lopez Bernal, Jamie, Zambon, Maria, Akinyemi, Oluwafunmi, Amirthalingam, Gayatri, Andrews, Nick, Borrow, Ray, Byford, Rachel, Charlett, André, Dabrera, Gavin, Ellis, Joanna, Elliot, Alex J, Feher, Michael, Ferreira, Filipa, Krajenbrink, Else, Leach, Jonathan, Linley, Ezra, Liyanage, Harshana, Okusi, Cecilia, Ramsay, Mary, Smith, Gillian, Sherlock, Julian, Thomas, Nicholas, Tripathy, Manasa, Williams, John, Howsam, Gary, Joy, Mark, and Hobbs, Richard
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Public aspects of medicine ,RA1-1270 - Abstract
BackgroundThe Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) and Public Health England (PHE) have successfully worked together on the surveillance of influenza and other infectious diseases for over 50 years, including three previous pandemics. With the emergence of the international outbreak of the coronavirus infection (COVID-19), a UK national approach to containment has been established to test people suspected of exposure to COVID-19. At the same time and separately, the RCGP RSC’s surveillance has been extended to monitor the temporal and geographical distribution of COVID-19 infection in the community as well as assess the effectiveness of the containment strategy. ObjectivesThe aims of this study are to surveil COVID-19 in both asymptomatic populations and ambulatory cases with respiratory infections, ascertain both the rate and pattern of COVID-19 spread, and assess the effectiveness of the containment policy. MethodsThe RCGP RSC, a network of over 500 general practices in England, extract pseudonymized data weekly. This extended surveillance comprises of five components: (1) Recording in medical records of anyone suspected to have or who has been exposed to COVID-19. Computerized medical records suppliers have within a week of request created new codes to support this. (2) Extension of current virological surveillance and testing people with influenza-like illness or lower respiratory tract infections (LRTI)—with the caveat that people suspected to have or who have been exposed to COVID-19 should be referred to the national containment pathway and not seen in primary care. (3) Serology sample collection across all age groups. This will be an extra blood sample taken from people who are attending their general practice for a scheduled blood test. The 100 general practices currently undertaking annual influenza virology surveillance will be involved in the extended virological and serological surveillance. (4) Collecting convalescent serum samples. (5) Data curation. We have the opportunity to escalate the data extraction to twice weekly if needed. Swabs and sera will be analyzed in PHE reference laboratories. ResultsGeneral practice clinical system providers have introduced an emergency new set of clinical codes to support COVID-19 surveillance. Additionally, practices participating in current virology surveillance are now taking samples for COVID-19 surveillance from low-risk patients presenting with LRTIs. Within the first 2 weeks of setup of this surveillance, we have identified 3 cases: 1 through the new coding system, the other 2 through the extended virology sampling. ConclusionsWe have rapidly converted the established national RCGP RSC influenza surveillance system into one that can test the effectiveness of the COVID-19 containment policy. The extended surveillance has already seen the use of new codes with 3 cases reported. Rapid sharing of this protocol should enable scientific critique and shared learning. International Registered Report Identifier (IRRID)DERR1-10.2196/18606
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- 2020
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21. The (Metropolitan) City Revisited: Long-term Population Trends and Urbanization Patterns in Europe, 1950-2000
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Salvati, Luca and Zambon, Ilaria
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- 2019
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22. Temporal Graph ODEs for Irregularly-Sampled Time Series
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Gravina, Alessio, Zambon, Daniele, Bacciu, Davide, and Alippi, Cesare
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Computer Science - Machine Learning - Abstract
Modern graph representation learning works mostly under the assumption of dealing with regularly sampled temporal graph snapshots, which is far from realistic, e.g., social networks and physical systems are characterized by continuous dynamics and sporadic observations. To address this limitation, we introduce the Temporal Graph Ordinary Differential Equation (TG-ODE) framework, which learns both the temporal and spatial dynamics from graph streams where the intervals between observations are not regularly spaced. We empirically validate the proposed approach on several graph benchmarks, showing that TG-ODE can achieve state-of-the-art performance in irregular graph stream tasks., Comment: Preprint. Accepted at IJCAI 2024
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- 2024
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23. FIGHT-RP 1 Extension Study
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Zambon SpA
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- 2024
24. Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations
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De Felice, Giovanni, Cini, Andrea, Zambon, Daniele, Gusev, Vladimir V., and Alippi, Cesare
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Computer Science - Machine Learning ,Computer Science - Artificial Intelligence - Abstract
Virtual sensing techniques allow for inferring signals at new unmonitored locations by exploiting spatio-temporal measurements coming from physical sensors at different locations. However, as the sensor coverage becomes sparse due to costs or other constraints, physical proximity cannot be used to support interpolation. In this paper, we overcome this challenge by leveraging dependencies between the target variable and a set of correlated variables (covariates) that can frequently be associated with each location of interest. From this viewpoint, covariates provide partial observability, and the problem consists of inferring values for unobserved channels by exploiting observations at other locations to learn how such variables can correlate. We introduce a novel graph-based methodology to exploit such relationships and design a graph deep learning architecture, named GgNet, implementing the framework. The proposed approach relies on propagating information over a nested graph structure that is used to learn dependencies between variables as well as locations. GgNet is extensively evaluated under different virtual sensing scenarios, demonstrating higher reconstruction accuracy compared to the state-of-the-art., Comment: Accepted at ICLR 2024
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- 2024
25. A Tale of Two Industroyers: It was the Season of Darkness
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Salazar, Luis, Castro, Sebastián R, Lozano, Juan, Koneru, Keerthi, Zambon, Emmanuele, Huang, Bing, Baldick, Ross, Krotofil, Marina, Rojas, Alonso, and Cardenas, Alvaro A
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Information and Computing Sciences ,Cybersecurity and Privacy - Abstract
In this paper, we study two pieces of malware that attempted to create blackouts in Ukraine. In particular, we design and develop a new sandbox that emulates different networks, devices, and other characteristics so that we can execute malware targeting substation equipment and understand in detail the specific sequence of actions the attackers could perform on substation equipment. We also study the effects that future similar malware can have. Our findings include new malware behavior not previously documented (such as the detailed algorithm for the MMS protocol payload) and an illustration of how attacking different targets will produce different effects.
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- 2024
26. Operative and nonoperative management for renal trauma: comparison of outcomes. A systematic review and meta-analysis
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Mingoli A, La Torre M, Migliori E, Cirillo B, Zambon M, Sapienza P, and Brachini G
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Renal trauma Blunt trauma Penetrating trauma Operative management Non-operative management Systematic review Meta-analysis ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Andrea Mingoli,1,2 Marco La Torre,1,2 Emanuele Migliori,1,2 Bruno Cirillo,1,2 Martina Zambon,1,2 Paolo Sapienza,1,2 Gioia Brachini1,2 1Emergency Department, 2Department of Surgery P Valdoni, Policlinico Umberto I, Sapienza University, Rome, Italy Introduction: Preservation of kidney and renal function is the goal of nonoperative management (NOM) of renal trauma (RT). The advantages of NOM for minor blunt RT have already been clearly described, but its value for major blunt and penetrating RT is still under debate. We present a systematic review and meta-analysis on NOM for RT, which was compared with the operative management (OM) with respect to mortality, morbidity, and length of hospital stay (LOS). Methods: The Preferred Reporting Items for Systematic Reviews and Meta-analyses statement was followed for this study. A systematic search was performed on Embase, Medline, Cochrane, and PubMed for studies published up to December 2015, without language restrictions, which compared NOM versus OM for renal injuries. Results: Twenty nonrandomized retrospective cohort studies comprising 13,824 patients with blunt (2,998) or penetrating (10,826) RT were identified. When all RT were considered (American Association for the Surgery of Trauma grades 1–5), NOM was associated with lower mortality and morbidity rates compared to OM (8.3% vs 17.1%, odds ratio [OR] 0.471; 95% confidence interval [CI] 0.404–0.548; P
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- 2017
27. Does Residential Mobility Anticipate Urban Growth? The Importance of the Local Socioeconomic Context in a European Metropolitan Region
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Salvati, Luca and Zambon, Ilaria
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- 2018
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28. Presentare Buzzati (in tema di comunicazione letteraria)
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Zambon, Patrizia
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Dino Buzzati. Literary communication. Twentieth-century Italian literature ,Language and Literature ,Philology. Linguistics ,P1-1091 - Abstract
Pubblico qui il testo di un’intervista realizzata per un programma televisivo, un documentario dedicato a Dino Buzzati. Testo inedito che coniuga (si propone di coniugare) l’esigenza di correttezza e singolarità di un’interpretazione critica con quella di sintesi chiarezza e brevità richiesta dalla divulgazione di un argomento letterario.
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- 2019
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29. Which protocol for prostate biopsies in patients with a positive MRI? Interest of systematic biopsies by sectors
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Zambon, A., Nguyen, T-A., Fourcade, A., Segalen, T., Saout, K., Deruelle, C., Joulin, V., Tissot, V., Doucet, L., Fournier, G., and Valeri, A.
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- 2024
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30. Predicting mortality of cancer patients using artificial intelligence, patient data and blood tests
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Martins, Tiago D., Maciel-Filho, Rubens, Montalvão, Silmara A. L., Gois, Gabriele S. S., Al Bannoud, Mohamad, Ottaiano, Gabriel Y., Anhaia, Thaizy R. A., Almeida, Millene E. A., Ferreira, Monique R. M., Martinelli, Beatriz M., Fernandes, Maria C. G. L., Huber, Stephany C., Ribeiro, Daniel, Teixeira, Júlio C., Carvalheira, José B. C., Lima, Carmen S. P., Andreollo, Nelson A., Etchebehere, Maurício, Zambon, Lair, Ferreira, Ubirajara, Tincani, Alfio J., Martins, Antônio S., Coy, Cláudio S. R., Seabra, José C. T., Mussi, Ricardo K., Tedeschi, Helder, and Anninchino-Bizzacchi, Joyce M.
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- 2024
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31. Repurposing pexmetinib as an inhibitor of TKI-resistant BCR::ABL1
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Fontana, Diletta, Malighetti, Federica, Villa, Matteo, Zambon, Alfonso, Gambacorti-Passerini, Carlo, and Mologni, Luca
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- 2024
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32. Differential Adherence to Free and Single-Pill Combination of Rosuvastatin/Ezetimibe: Findings from a Real-World Analysis in Italy
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Perez de Isla, Leopoldo, Liberopoulos, Evangelos, Dovizio, Melania, Veronesi, Chiara, Degli Esposti, Luca, and Zambon, Alberto
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- 2024
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33. Implementing Occupational Therapy into an Acute Geriatric Ward: Effects on Patients’ Functional Status at Discharge
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Sidoli, C., Okoye, Chukwuma, Staglianò, A., Zambon, A., Pozzi, C., Ferrara, M. C., and Bellelli, G.
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- 2024
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34. Relations between Markovian and non-Markovian correlations in multitime quantum processes
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Zambon, Guilherme and Soares-Pinto, Diogo O.
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Quantum Physics - Abstract
In the dynamics of open quantum systems, information may propagate in time through either the system or the environment, giving rise to Markovian and non-Markovian temporal correlations, respectively. However, despite their notable coexistence in most physical situations, it is not yet clear how these two quantities may limit the existence of one another. Here, we address this issue by deriving several inequalities relating the temporal correlations of general multi-time quantum processes. The dynamics are described by process tensors and the correlations are quantified by the mutual information between subsystems of their Choi states. First, we prove a set of upper bounds to the non-Markovianity of a process given the degree of Markovianity in each of its steps. This immediately implies a non-trivial maximum value for the non-Markovianity of any process, independently of its Markovianity. Finally, we obtain how the non-Markovianity limits the amount of total temporal correlations that could be present in a given process. These results show that, although any multi-time process must pay a price in total correlations to have a given amount of non-Markovianity, this price vanishes exponentially with the number of steps of the process, while the maximum non-Markovianity grows only linearly. This implies that even a highly non-Markovian process might be arbitrarily close to having maximum total correlations if it has a sufficiently large number of steps.
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- 2023
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35. Structure of the space of folding protein sequences defined by large language models
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Zambon, A., Zecchina, R., and Tiana, G.
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Quantitative Biology - Biomolecules ,Quantitative Biology - Populations and Evolution - Abstract
Proteins populate a manifold in the high-dimensional sequence space whose geometrical structure guides their natural evolution. Leveraging recently-developed structure prediction tools based on transformer models, we first examine the protein sequence landscape as defined by the folding score function. This landscape shares characteristics with optimization challenges encountered in machine learning and constraint satisfaction problems. Our analysis reveals that natural proteins predominantly reside in wide, flat minima within this energy landscape. To investigate further, we employ statistical mechanics algorithms specifically designed to explore regions with high local entropy in relatively flat landscapes. Our findings indicate that these specialized algorithms can identify valleys with higher entropy compared to those found using traditional methods such as Monte Carlo Markov Chains. In a proof-of-concept case, we find that these highly entropic minima exhibit significant similarities to natural sequences, especially in critical key sites and local entropy. Additionally, evaluations through Molecular Dynamics suggests that the stability of these sequences closely resembles that of natural proteins. Our tool combines advancements in machine learning and statistical physics, providing new insights into the exploration of sequence landscapes where wide, flat minima coexist alongside a majority of narrower minima.
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- 2023
36. Delirium in nursing home residents: is there a role of antidepressants? A cross sectional study
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Fedecostante, Massimiliano, Balietti, Paolo, Di Santo, Simona Gabriella, Zambon, Antonella, Marengoni, Alessandra, Morandi, Alessandro, Beccacece, Alessia, Bellelli, Giuseppe, and Cherubini, Antonio
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- 2024
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37. Lessons from PROMINENT and prospects for pemafibrate
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Fruchart, Jean-Charles, Fruchart-Najib, Jamila, Yamashita, Shizuya, Libby, Peter, Yokote, Koutaro, Kodama, Tatsuhiko, Tomita, Yohei, Ridker, Paul M., Hermans, Michel P., and Zambon, Alberto
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- 2024
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38. Correction: Molecular mechanisms and therapeutic strategies for neuromuscular diseases
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Zambon, Alberto Andrea, Falzone, Yuri Matteo, Bolino, Alessandra, and Previtali, Stefano Carlo
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- 2024
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39. Post-intensive care syndrome screening: a French multicentre survey
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Agbakou, Maïté, Combet, Margot, Martin, Maëlle, Blonz, Gauthier, Desmedt, Luc, Seguin, Amélie, Lemarié, Jérémie, Zambon, Olivier, Reignier, Jean, Lascarrou, Jean-Baptiste, Ehrmann, Stephan, and Canet, Emmanuel
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- 2024
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40. Insect pests and natural enemies associated with lettuce Lactuca sativa L. (Asteraceae) in an aquaponics system
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da Silva, Tamara Machado, Cividanes, Francisco Jorge, Salles, Fernando André, Pacífico Manfrim Perticarrari, Amanda Liz, Zambon da Cunha, Suzan Beatriz, and Monteiro dos Santos-Cividanes, Terezinha
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- 2024
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41. Hot rings on Io observed by Juno/JIRAM
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Mura, Alessandro, Tosi, Federico, Zambon, Francesca, Lopes, Rosaly M. C., Mouginis-Mark, Peter J., Becker, Heidi, Filacchione, Gianrico, Migliorini, Alessandra, Hansen, Candice. J., Adriani, Alberto, Altieri, Francesca, Bolton, Scott, Cicchetti, Andrea, Di Mico, Elisa, Grassi, Davide, Noschese, Raffaella, Moirano, Alessandro, Pettine, Madeline, Piccioni, Giuseppe, Plainaki, Christina, Rathbun, Julie, Sordini, Roberto, and Sindoni, Giuseppe
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- 2024
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42. Molecular mechanisms and therapeutic strategies for neuromuscular diseases
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Zambon, Alberto Andrea, Falzone, Yuri Matteo, Bolino, Alessandra, and Previtali, Stefano Carlo
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- 2024
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43. New pan-ALK inhibitor-resistant EML4::ALK mutations detected by liquid biopsy in lung cancer patients
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Villa, Matteo, Malighetti, Federica, Sala, Elisa, Sharma, Geeta G., Arosio, Giulia, Gemelli, Maria, Manfroni, Chiara, Fontana, Diletta, Cordani, Nicoletta, Meneveri, Raffaella, Zambon, Alfonso, Piazza, Rocco, Pagni, Fabio, Cortinovis, Diego, and Mologni, Luca
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- 2024
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44. Immediate vs. culture-initiated antibiotic therapy in suspected non-severe ventilator-associated pneumonia: a before–after study (DELAVAP)
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Martin, Maëlle, Forveille, Solène, Lascarrou, Jean-Baptiste, Seguin, Amélie, Canet, Emmanuel, Lemarié, Jérémie, Agbakou, Maïté, Desmedt, Luc, Blonz, Gauthier, Zambon, Olivier, Corvec, Stéphane, Le Thuaut, Aurélie, and Reignier, Jean
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- 2024
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45. Nrf2 expression is increased in peripheral blood mononuclear cells derived from mild–moderate ex-smoker COPD patients with persistent oxidative stress
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Fratta Pasini AM, Ferrari M, Stranieri C, Vallerio P, Mozzini C, Garbin U, Zambon G, and Cominacini L
- Subjects
mild-moderate COPD ,Nrf2/ARE ,UPR ,oxidative stress ,cigarette smoking ,peripheral blood mononuclear cells ,Diseases of the respiratory system ,RC705-779 - Abstract
Anna Maria Fratta Pasini,1 Marcello Ferrari,2 Chiara Stranieri,1 Paola Vallerio,1 Chiara Mozzini,1 Ulisse Garbin,1 Giorgia Zambon,1 Luciano Cominacini1 1Department of Medicine, Section of Internal Medicine, 2Department of Medicine, Unit of Respiratory Diseases, University of Verona, Verona, Italy Abstract: Inadequacy of antioxidant nuclear factor-E2-related factor 2 (Nrf2) and endoplasmic reticulum stress-mediated unfolded protein response has been implicated in severe chronic obstructive pulmonary disease (COPD) and cigarette smoking-induced emphysema. As evidence suggests that the ability to upregulate Nrf2 expression may influence the progression of COPD and no data exist up to now in ex-smokers with mild–moderate COPD, this study was first aimed to evaluate Nrf2 and unfolded protein response expression in peripheral blood mononuclear cells (PBMC) of mild–moderate ex-smokers with COPD compared to smoking habit-matched non-COPD subjects. Then, we tested whether oxidative stress persists after cigarette smoking cessation and whether the concentrations of oxidized phospholipids (oxidation products of the phospholipid 1-palmitoyl-2-arachidonyl-sn-glycero-3-phosphorylcholine [oxPAPC]) in the PBMC of the same subjects may have a causative role in determining the upregulation of Nrf2. The expression (mRNA and protein) of Nrf2 and of its related gene heme oxygenase-1 was significantly increased in COPD group without differences in the unfolded protein response. Plasma malondialdehyde, the circulating marker of oxidative stress, and oxPAPC in PBMC were significantly higher in COPD than in non-COPD subjects. The fact that the expression of p47phox, a subunit of NADPH oxidase, was increased in PBMC of COPD patients and that it was directly correlated with oxPAPC may indicate that oxPAPC may be one of the determinants of oxidative stress-induced Nrf2 upregulation. Finally, we also demonstrated that lung function inversely correlated with plasma malondialdehyde and with Nrf2 and heme oxygenase-1 mRNA expression in all subjects. Our results indicate that mild–moderate ex-smokers with COPD may be able to counteract oxidative stress by increasing the expression of Nrf2/antioxidant-response elements. Because Nrf2 failure significantly contributes to the development of COPD, our findings suggest that the possibility to prevent Nrf2 reduction may open a new scenario in helping to prevent the oxidative stress-associated lung function decline. Keywords: mild–moderate COPD, Nrf2/ARE, UPR, oxidative stress, cigarette smoking, peripheral blood mononuclear cells
- Published
- 2016
46. Calling for Action: The Need of Large-Scale Cohorts to Uncover the Cardiovascular Risk in Non-Sleepy Obstructive Sleep Apnea
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Maiolino, Giuseppe, Garcia, Miguel Angel Martinez, Soranna, Davide, Zambon, Antonella, Vettor, Roberto, Parati, Gianfranco, Gozal, David, and Pengo, Martino F.
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- 2024
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47. Graph Deep Learning for Time Series Forecasting
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Cini, Andrea, Marisca, Ivan, Zambon, Daniele, and Alippi, Cesare
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Computer Science - Machine Learning ,Computer Science - Artificial Intelligence - Abstract
Graph-based deep learning methods have become popular tools to process collections of correlated time series. Differently from traditional multivariate forecasting methods, neural graph-based predictors take advantage of pairwise relationships by conditioning forecasts on a (possibly dynamic) graph spanning the time series collection. The conditioning can take the form of an architectural inductive bias on the neural forecasting architecture, resulting in a family of deep learning models called spatiotemporal graph neural networks. Such relational inductive biases enable the training of global forecasting models on large time-series collections, while at the same time localizing predictions w.r.t. each element in the set (i.e., graph nodes) by accounting for local correlations among them (i.e., graph edges). Indeed, recent theoretical and practical advances in graph neural networks and deep learning for time series forecasting make the adoption of such processing frameworks appealing and timely. However, most of the studies in the literature focus on proposing variations of existing neural architectures by taking advantage of modern deep learning practices, while foundational and methodological aspects have not been subject to systematic investigation. To fill the gap, this paper aims to introduce a comprehensive methodological framework that formalizes the forecasting problem and provides design principles for graph-based predictive models and methods to assess their performance. At the same time, together with an overview of the field, we provide design guidelines, recommendations, and best practices, as well as an in-depth discussion of open challenges and future research directions.
- Published
- 2023
48. JIRAM Observations of Volcanic Flux on Io: Distribution and Comparison to Tidal Heat Flow Models
- Author
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Pettine, M., Imbeah, S., Rathbun, J., Hayes, A., Lopes-Gautier, R., Mura, A., Tosi, F., Zambon, F., and Bertolino, S.
- Subjects
Astrophysics - Earth and Planetary Astrophysics - Abstract
Juno has allowed clear, high-resolution imaging of Io's polar volcanoes using the Jovian Infrared Auroral Mapper (JIRAM) instrument. We have used data from JIRAM's M-band (4.78 um) imager from eleven Juno orbits to construct a global map of volcanic flux. This map provides short-term insight into the spatial distribution of volcanoes and the ways in which high- and low-latitude volcanoes differ. Using spherical harmonic analysis, we quantitatively compare our volcanic flux map to the surface heat flow distribution expected from models of Io's tidal heat deposition (summarized in de Kleer et al. 2019). Our observations confirm previously detected systems of bright volcanoes at high latitudes. Our study finds that both poles are comparably active and that the observed flux distribution is inconsistent with an asthenospheric heating model, although the south pole is viewed too infrequently to establish reliable trends., Comment: 11 pages, 3 figures
- Published
- 2023
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49. A dimension reduction factor approach for multivariate time series with long-memory: a robust alternative method
- Author
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Reisen, Valdério Anselmo, Lévy-Leduc, Céline, Monte, Edson Zambon, and Bondon, Pascal
- Published
- 2024
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50. Long-term durability of discarded cork-based composites obtained by geopolymerization
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Poggetto, Giovanni Dal, Barbieri, Luisa, D’Angelo, Antonio, Zambon, Alfonso, Zardi, Paolo, and Leonelli, Cristina
- Published
- 2024
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