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1. Online-to-PAC generalization bounds under graph-mixing dependencies

Author: Abélès, Baptiste, Clerico, Eugenio, and Neu, Gergely
Subjects: Statistics - Machine Learning, Computer Science - Machine Learning
Abstract: Traditional generalization results in statistical learning require a training data set made of independently drawn examples. Most of the recent efforts to relax this independence assumption have considered either purely temporal (mixing) dependencies, or graph-dependencies, where non-adjacent vertices correspond to independent random variables. Both approaches have their own limitations, the former requiring a temporal ordered structure, and the latter lacking a way to quantify the strength of inter-dependencies. In this work, we bridge these two lines of work by proposing a framework where dependencies decay with graph distance. We derive generalization bounds leveraging the online-to-PAC framework, by deriving a concentration result and introducing an online learning framework incorporating the graph structure. The resulting high-probability generalization guarantees depend on both the mixing rate and the graph's chromatic number., Comment: 13 pages (10 main + 3 supplementary material). All authors contributed equally
Published: 2024

2. Retina-inspired Object Motion Segmentation

Author: Clerico, Victoria, Snyder, Shay, Lohia, Arya, Kaiser, Md Abdullah-Al, Schwartz, Gregory, Jaiswal, Akhilesh, and Parsa, Maryam
Subjects: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Neural and Evolutionary Computing, Electrical Engineering and Systems Science - Image and Video Processing
Abstract: Dynamic Vision Sensors (DVS) have emerged as a revolutionary technology with a high temporal resolution that far surpasses RGB cameras. DVS technology draws biological inspiration from photoreceptors and the initial retinal synapse. Our research showcases the potential of additional retinal functionalities to extract visual features. We provide a domain-agnostic and efficient algorithm for ego-motion compensation based on Object Motion Sensitivity (OMS), one of the multiple robust features computed within the mammalian retina. We develop a framework based on experimental neuroscience that translates OMS' biological circuitry to a low-overhead algorithm. OMS processes DVS data from dynamic scenes to perform pixel-wise object motion segmentation. Using a real and a synthetic dataset, we highlight OMS' ability to differentiate object motion from ego-motion, bypassing the need for deep networks. This paper introduces a bio-inspired computer vision method that dramatically reduces the number of parameters by a factor of 1000 compared to prior works. Our work paves the way for robust, high-speed, and low-bandwidth decision-making for in-sensor computations.
Published: 2024

3. Hardware-Algorithm Re-engineering of Retinal Circuit for Intelligent Object Motion Segmentation

Author: Sinaga, Jason, Clerico, Victoria, Kaiser, Md Abdullah-Al, Snyder, Shay, Lohia, Arya, Schwartz, Gregory, Parsa, Maryam, and Jaiswal, Akhilesh
Subjects: Computer Science - Neural and Evolutionary Computing, Electrical Engineering and Systems Science - Image and Video Processing
Abstract: Recent advances in retinal neuroscience have fueled various hardware and algorithmic efforts to develop retina-inspired solutions for computer vision tasks. In this work, we focus on a fundamental visual feature within the mammalian retina, Object Motion Sensitivity (OMS). Using DVS data from EV-IMO dataset, we analyze the performance of an algorithmic implementation of OMS circuitry for motion segmentation in presence of ego-motion. This holistic analysis considers the underlying constraints arising from the hardware circuit implementation. We present novel CMOS circuits that implement OMS functionality inside image sensors, while providing run-time re-configurability for key algorithmic parameters. In-sensor technologies for dynamical environment adaptation are crucial for ensuring high system performance. Finally, we verify the functionality and re-configurability of the proposed CMOS circuit designs through Cadence simulations in 180nm technology. In summary, the presented work lays foundation for hardware-algorithm re-engineering of known biological circuits to suit application needs.
Published: 2024

4. Superballistic conduction in hydrodynamic antidot graphene superlattices

Author: Estrada-Álvarez, Jorge, Salvador-Sánchez, Juan, Pérez-Rodríguez, Ana, Sánchez-Sánchez, Carlos, Clericò, Vito, Vaquero, Daniel, Watanabe, Kenji, Taniguchi, Takashi, Diez, Enrique, Domínguez-Adame, Francisco, Amado, Mario, and Díaz, Elena
Subjects: Condensed Matter - Mesoscale and Nanoscale Physics, Physics - Fluid Dynamics
Abstract: Viscous electron flow exhibits exotic signatures such as superballistic conduction. Bending the geometry of the device is a must to observe hydrodynamic effects. To this end, we build three antidot graphene superlattices with different hole diameters. We measure their electrical properties at various temperatures and under the effect of a perpendicular magnetic field. We find an enhanced superballistic effect, suggesting the effectiveness of the geometry at bending the electron flow. In addition, superballistic conduction behaves non-monotonically with the magnetic field, which is related with the ballistic-hydrodynamic transition. We also analyze the device resistance as a function of the size of the antidot superlattice to find characteristic scaling laws describing the different transport regimes. We prove that the antidot superlattice is a convenient geometry for realizing hydrodynamic flow, and the experiment provides valuable explanations for the technologically relevant effects of superballistic conduction and scaling laws.
Published: 2024

5. Generalization bounds for mixing processes via delayed online-to-PAC conversions

Author: Abeles, Baptiste, Clerico, Eugenio, and Neu, Gergely
Subjects: Computer Science - Machine Learning
Abstract: We study the generalization error of statistical learning algorithms in a non-i.i.d. setting, where the training data is sampled from a stationary mixing process. We develop an analytic framework for this scenario based on a reduction to online learning with delayed feedback. In particular, we show that the existence of an online learning algorithm with bounded regret (against a fixed statistical learning algorithm in a specially constructed game of online learning with delayed feedback) implies low generalization error of said statistical learning method even if the data sequence is sampled from a mixing time series. The rates demonstrate a trade-off between the amount of delay in the online learning game and the degree of dependence between consecutive data points, with near-optimal rates recovered in a number of well-studied settings when the delay is tuned appropriately as a function of the mixing time of the process.
Published: 2024

6. Parallelized Multi-Agent Bayesian Optimization in Lava

Author: Snyder, Shay, Gobin, Derek, Clerico, Victoria, Risbud, Sumedh R., and Parsa, Maryam
Subjects: Computer Science - Distributed, Parallel, and Cluster Computing
Abstract: In parallel with the continuously increasing parameter space dimensionality, search and optimization algorithms should support distributed parameter evaluations to reduce cumulative runtime. Intel's neuromorphic optimization library, Lava-Optimization, was introduced as an abstract optimization system compatible with neuromorphic systems developed in the broader Lava software framework. In this work, we introduce Lava Multi-Agent Optimization (LMAO) with native support for distributed parameter evaluations communicating with a central Bayesian optimization system. LMAO provides an abstract framework for deploying distributed optimization and search algorithms within the Lava software framework. Moreover, LMAO introduces support for random and grid search along with process connections across multiple levels of mathematical precision. We evaluate the algorithmic performance of LMAO with a traditional non-convex optimization problem, a fixed-precision transductive spiking graph neural network for citation graph classification, and a neuromorphic satellite scheduling problem. Our results highlight LMAO's efficient scaling to multiple processes, reducing cumulative runtime and minimizing the likelihood of converging to local optima., Comment: 4 pages, 2 figures, 2 algorithms, 2 tables
Published: 2024

7. Transductive Spiking Graph Neural Networks for Loihi

Author: Snyder, Shay, Clerico, Victoria, Cong, Guojing, Kulkarni, Shruti, Schuman, Catherine, Risbud, Sumedh R., and Parsa, Maryam
Subjects: Computer Science - Emerging Technologies, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing
Abstract: Graph neural networks have emerged as a specialized branch of deep learning, designed to address problems where pairwise relations between objects are crucial. Recent advancements utilize graph convolutional neural networks to extract features within graph structures. Despite promising results, these methods face challenges in real-world applications due to sparse features, resulting in inefficient resource utilization. Recent studies draw inspiration from the mammalian brain and employ spiking neural networks to model and learn graph structures. However, these approaches are limited to traditional Von Neumann-based computing systems, which still face hardware inefficiencies. In this study, we present a fully neuromorphic implementation of spiking graph neural networks designed for Loihi 2. We optimize network parameters using Lava Bayesian Optimization, a novel hyperparameter optimization system compatible with neuromorphic computing architectures. We showcase the performance benefits of combining neuromorphic Bayesian optimization with our approach for citation graph classification using fixed-precision spiking neurons. Our results demonstrate the capability of integer-precision, Loihi 2 compatible spiking neural networks in performing citation graph classification with comparable accuracy to existing floating point implementations., Comment: 6 pages, 4 figures, 3 tables
Published: 2024

8. A note on regularised NTK dynamics with an application to PAC-Bayesian training

Author: Clerico, Eugenio and Guedj, Benjamin
Subjects: Statistics - Machine Learning, Computer Science - Machine Learning
Abstract: We establish explicit dynamics for neural networks whose training objective has a regularising term that constrains the parameters to remain close to their initial value. This keeps the network in a lazy training regime, where the dynamics can be linearised around the initialisation. The standard neural tangent kernel (NTK) governs the evolution during the training in the infinite-width limit, although the regularisation yields an additional term appears in the differential equation describing the dynamics. This setting provides an appropriate framework to study the evolution of wide networks trained to optimise generalisation objectives such as PAC-Bayes bounds, and hence potentially contribute to a deeper theoretical understanding of such networks.
Published: 2023

9. Diabetes as a risk factor for pneumococcal disease and severe related outcomes and efficacy/effectiveness of vaccination in diabetic population. Results from meta-analysis of observational studies

Author: Silverii, Giovanni Antonio, Gabutti, Giovanni, Tafuri, Silvio, Sarti, Francesca, Pratesi, Anna, Clerico, Alessandra, Fornengo, Riccardo, Greco, Carla, Irace, Concetta, Sordi, Valeria, Sorice, Gian Pio, Cavallo, Massimiliano, Ponziani, Maria Chantal, Mannucci, Edoardo, and Dicembrini, Ilaria
Published: 2024
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10. ChatGPT vs. neurologists: a cross-sectional study investigating preference, satisfaction ratings and perceived empathy in responses among people living with multiple sclerosis

Author: Maida, Elisabetta, Moccia, Marcello, Palladino, Raffaele, Borriello, Giovanna, Affinito, Giuseppina, Clerico, Marinella, Repice, Anna Maria, Di Sapio, Alessia, Iodice, Rosa, Spiezia, Antonio Luca, Sparaco, Maddalena, Miele, Giuseppina, Bile, Floriana, Scandurra, Cristiano, Ferraro, Diana, Stromillo, Maria Laura, Docimo, Renato, De Martino, Antonio, Mancinelli, Luca, Abbadessa, Gianmarco, Smolik, Krzysztof, Lorusso, Lorenzo, Leone, Maurizio, Leveraro, Elisa, Lauro, Francesca, Trojsi, Francesca, Streito, Lidia Mislin, Gabriele, Francesca, Marinelli, Fabiana, Ianniello, Antonio, De Santis, Federica, Foschi, Matteo, De Stefano, Nicola, Morra, Vincenzo Brescia, Bisecco, Alvino, Coghe, Giancarlo, Cocco, Eleonora, Romoli, Michele, Corea, Francesco, Leocani, Letizia, Frau, Jessica, Sacco, Simona, Inglese, Matilde, Carotenuto, Antonio, Lanzillo, Roberta, Padovani, Alessandro, Triassi, Maria, Bonavita, Simona, and Lavorgna, Luigi
Published: 2024
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11. Stem cell collection and hematological recovery in the Fondazione Italiana Linfomi (FIL) MCL0208 clinical trial

Author: Clerico, Michele, Ferrero, Simone, Alessandria, Beatrice, Zaccaria, Gian Maria, Genuardi, Elisa, Ragaini, Simone, Tavarozzi, Rita, Cavallo, Federica, Hohaus, Stefan, Musuraca, Gerardo, Carella, Angelo Michele, Stelitano, Caterina, Tani, Monica, Gaidano, Gianluca, Olivieri, Jacopo, Usai, Sara Veronica, Galimberti, Sara, Re, Francesca, Mian, Michael, Castellino, Claudia, Pavone, Vincenzo, Evangelista, Andrea, Bruno, Benedetto, Cortelazzo, Sergio, Passera, Roberto, and Ladetto, Marco
Published: 2024
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12. Low HDL cholesterol and the eNOS Glu298Asp polymorphism are associated with inducible myocardial ischemia in patients with suspected stable coronary artery disease

Author: Vecoli, Cecilia, Caselli, Chiara, Modena, Martina, Todiere, Giancarlo, Poddighe, Rosa, Valente, Serafina, Bandini, Fabrizio, Natali, Andrea, Ghiadoni, Lorenzo, Clerico, Aldo, Prontera, Concetta, Vittorini, Simona, Botto, Nicoletta, Emdin, Michele, and Neglia, Danilo
Published: 2024
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13. An uncommon presentation of caecum cancer in a patient with an ileal neoappendectomy for severe chronic constipation and faecal incontinence

Author: Gallo, G., Bellocchia, A. B., Clerico, G., and Trompetto, M.
Published: 2024
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14. LSTM Framework for Classification of Radar and Communications Signals

Author: Clerico, Victoria, Gonzalez-Lopez, Jorge, Agam, Gady, and Grajal, Jesus
Subjects: Electrical Engineering and Systems Science - Signal Processing
Abstract: Although radar and communications signal classification are usually treated separately, they share similar characteristics, and methods applied in one domain can be potentially applied in the other. We propose a simple and unified scheme for the classification of radar and communications signals using Long Short-Term Memory (LSTM) neural networks. This proposal provides an improvement of the state of the art on radar signals where LSTM models are starting to be applied within schemes of higher complexity. To date, there is no standard public dataset for radar signals. Therefore, we propose DeepRadar2022, a radar dataset used in our systematic evaluations that is available publicly and will facilitate a standard comparison between methods., Comment: This paper was submitted to the Radar Conference 2023
Published: 2023

15. Stem cell collection and hematological recovery in the Fondazione Italiana Linfomi (FIL) MCL0208 clinical trial

Author: Michele Clerico, Simone Ferrero, Beatrice Alessandria, Gian Maria Zaccaria, Elisa Genuardi, Simone Ragaini, Rita Tavarozzi, Federica Cavallo, Stefan Hohaus, Gerardo Musuraca, Angelo Michele Carella, Caterina Stelitano, Monica Tani, Gianluca Gaidano, Jacopo Olivieri, Sara Veronica Usai, Sara Galimberti, Francesca Re, Michael Mian, Claudia Castellino, Vincenzo Pavone, Andrea Evangelista, Benedetto Bruno, Sergio Cortelazzo, Roberto Passera, and Marco Ladetto
Subjects: Mantle cell lymphoma (MCL), Autologous stem cell transplantation (ASCT), Peripheral blood stem cells (PBSC), Leukapheresis (LK), Hematological recovery, Medicine, Science
Abstract: Abstract In the frontline high-dose phase 3 FIL-MCL0208 trial (NCT02354313), 8% of enrolled mantle cell lymphoma (MCL) patients could not be randomised to receive lenalidomide (LEN) maintenance vs observation after autologous stem cell transplantation (ASCT) due to inadequate hematological recovery and 52% of those who started LEN, needed a dose reduction due to toxicity. We therefore focused on the role played by CD34 + hematopoietic stem cells (PBSC) harvesting and reinfusion on toxicity and outcome. Overall, 90% (n = 245) of enrolled patients who underwent the first leukapheresis collected ≥ 4 × 106 PBSC/kg, 2.6% (n = 7) mobilized 10 days) was associated with a worse outcome, both in terms of PFS and OS. In conclusion, although the harvesting procedures proved feasible for younger MCL patients, long-lasting cytopenia following ASCT remains a significant issue: this can hinder the administration of effective maintenance therapies, potentially increasing the relapse rate and negatively affecting survival outcomes.
Published: 2024
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16. Phonon-mediated room-temperature quantum Hall transport in graphene

Author: Vaquero, Daniel, Clericò, Vito, Schmitz, Michael, Delgado-Notario, Juan Antonio, Martín-Ramos, Adrian, Salvador-Sánchez, Juan, Müller, Claudius S. A., Rubi, Km, Watanabe, Kenji, Taniguchi, Takashi, Beschoten, Bernd, Stampfer, Christoph, Diez, Enrique, Katsnelson, Mikhail I., Zeitler, Uli, Wiedmann, Steffen, and Pezzini, Sergio
Subjects: Condensed Matter - Mesoscale and Nanoscale Physics
Abstract: The quantum Hall (QH) effect in two-dimensional electron systems (2DESs) is conventionally observed at liquid-helium temperatures, where lattice vibrations are strongly suppressed and bulk carrier scattering is dominated by disorder. However, due to large Landau level (LL) separation (~2000 K at B = 30 T), graphene can support the QH effect up to room temperature (RT), concomitant with a non-negligible population of acoustic phonons with a wave-vector commensurate to the inverse electronic magnetic length. Here, we demonstrate that graphene encapsulated in hexagonal boron nitride (hBN) realizes a novel transport regime, where dissipation in the QH phase is governed predominantly by electron-phonon scattering. Investigating thermally-activated transport at filling factor 2 up to RT in an ensemble of back-gated devices, we show that the high B-field behaviour correlates with their zero B-field transport mobility. By this means, we extend the well-accepted notion of phonon-limited resistivity in ultra-clean graphene to a hitherto unexplored high-field realm., Comment: 17 pages, 4 figures. Supplementary information available at https://doi.org/10.1038/s41467-023-35986-3
Published: 2023
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17. Transductive Spiking Graph Neural Networks for Loihi.

Author: Shay Snyder, Victoria Clerico, Guojing Cong, Shruti R. Kulkarni, Catherine D. Schuman, Sumedh R. Risbud, and Maryam Parsa
Published: 2024
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18. Generalisation under gradient descent via deterministic PAC-Bayes

Author: Clerico, Eugenio, Farghly, Tyler, Deligiannidis, George, Guedj, Benjamin, and Doucet, Arnaud
Subjects: Statistics - Machine Learning, Computer Science - Machine Learning
Abstract: We establish disintegrated PAC-Bayesian generalisation bounds for models trained with gradient descent methods or continuous gradient flows. Contrary to standard practice in the PAC-Bayesian setting, our result applies to optimisation algorithms that are deterministic, without requiring any de-randomisation step. Our bounds are fully computable, depending on the density of the initial distribution and the Hessian of the training objective over the trajectory. We show that our framework can be applied to a variety of iterative optimisation algorithms, including stochastic gradient descent (SGD), momentum-based schemes, and damped Hamiltonian dynamics.
Published: 2022

19. SARS-CoV-2 vaccination and multiple sclerosis: a large multicentric study on relapse risk after the third booster dose

Author: Di Filippo, Massimiliano, Ferraro, Diana, Ragonese, Paolo, Prosperini, Luca, Maniscalco, Giorgia Teresa, Gallo, Antonio, Cavalla, Paola, Lorefice, Lorena, Nociti, Viviana, Di Sabatino, Elena, Clerico, Marinella, Guaschino, Clara, Radaelli, Marta, Fantozzi, Roberta, Buttari, Fabio, Laroni, Alice, Gajofatto, Alberto, Calabrese, Massimiliano, Malucchi, Simona, Paolicelli, Damiano, De Luca, Giovanna, Tomassini, Valentina, Lanzillo, Roberta, Moccia, Marcello, Solaro, Claudio, Cocco, Eleonora, Gasperini, Claudio, and Tortorella, Carla
Published: 2024
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20. Low HDL cholesterol and the eNOS Glu298Asp polymorphism are associated with inducible myocardial ischemia in patients with suspected stable coronary artery disease

Author: Cecilia Vecoli, Chiara Caselli, Martina Modena, Giancarlo Todiere, Rosa Poddighe, Serafina Valente, Fabrizio Bandini, Andrea Natali, Lorenzo Ghiadoni, Aldo Clerico, Concetta Prontera, Simona Vittorini, Nicoletta Botto, Michele Emdin, and Danilo Neglia
Subjects: Endothelial dysfunction, Endothelial nitric oxide synthase, eNOS, Single nucleotide polymorphism, Obstructive coronary artery disease, Inducible myocardial ischemia, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: Abstract Background The endothelial nitric oxide synthase (eNOS) gene deficiency is known to cause impaired coronary vasodilating capability in animal models. In the general clinical population, the eNOS gene polymorphisms, able to affect eNOS activity, were associated with cardiometabolic risk features and prevalence of coronary artery disease (CAD). Aim To investigate the association of eNOS Glu298Asp gene polymorphism, cardiometabolic profile, obstructive CAD and inducible myocardial ischemia in patients with suspected stable CAD. Methods A total of 506 patients (314 males; mean age 62 ± 9 years) referred for suspected CAD was enrolled. Among these, 325 patients underwent stress ECG or cardiac imaging to assess the presence of inducible myocardial ischemia and 436 patients underwent non-invasive computerized tomography or invasive coronary angiography to assess the presence of obstructive CAD. Clinical characteristics and blood samples were collected for each patient. Results In the whole population, 49.6% of patients were homozygous for the Glu298 genotype (Glu/Glu), 40.9% heterozygotes (Glu/Asp) and 9.5% homozygous for the 298Asp genotype (Asp/Asp). Obstructive CAD was documented in 178/436 (40.8%) patients undergoing coronary angiography while myocardial ischemia in 160/325 (49.2%) patients undergoing stress testing. Patients with eNOS Asp genotype (Glu/Asp + Asp/Asp) had no significant differences in clinical risk factors and in circulating markers. Independent predictors of obstructive CAD were age, gender, obesity, and low HDL-C. Independent predictors of myocardial ischemia were gender, obesity, low HDL-C and Asp genotype. In the subpopulation in which both stress tests and coronary angiography were performed, the Asp genotype remained associated with increased myocardial ischemia risk after adjustment for obstructive CAD. Conclusion In this population, low-HDL cholesterol was the only cardiometabolic risk determinant of obstructive CAD. The eNOS Glu298Asp gene polymorphism was significantly associated with inducible myocardial ischemia independently of other risk factors and presence of obstructive CAD.
Published: 2024
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21. Generation and control of non-local chiral currents in graphene superlattices by orbital Hall effect

Author: Salvador-Sánchez, Juan, Canonico, Luis M., Pérez-Rodríguez, Ana, Cysne, Tarik P., Baba, Yuriko, Clericò, Vito, Vila, Marc, Vaquero, Daniel, Delgado-Notario, Juan Antonio, Caridad, José M., Watanabe, Kenji, Taniguchi, Takashi, Molina, Rafael A., Domínguez-Adame, Francisco, Roche, Stephan, Diez, Enrique, Rappoport, Tatiana G., and Amado, Mario
Subjects: Condensed Matter - Mesoscale and Nanoscale Physics
Abstract: Graphene-based superlattices offer a new materials playground to exploit and control a higher number of electronic degrees of freedom, such as charge, spin, or valley for disruptive technologies. Recently, orbital effects, emerging in multivalley band structure lacking inversion symmetry, have been discussed as possible mechanisms for developing orbitronics. Here, we report non-local transport measurements in small gap hBN/graphene/hBN moir\'e superlattices which reveal very strong magnetic field-induced chiral response which is stable up to room temperature. The measured sign dependence of the non-local signal with respect to the magnetic field orientation clearly indicates the manifestation of emerging orbital magnetic moments. The interpretation of experimental data is well supported by numerical simulations, and the reported phenomenon stands as a formidable way of in-situ manipulation of the transverse flow of orbital information, that could enable the design of orbitronic devices., Comment: 5 pages, 5 figures and supplementary information
Published: 2022

22. Signs and symptoms of COVID‐19 in patients with multiple sclerosis

Author: Schiavetti, Irene, Carmisciano, Luca, Ponzano, Marta, Cordioli, Cinzia, Cocco, Eleonora, Marfia, Girolama Alessandra, Inglese, Matilde, Filippi, Massimo, Radaelli, Marta, Bergamaschi, Roberto, Immovilli, Paolo, Capobianco, Marco, De Rossi, Nicola, Brichetto, Giampaolo, Scandellari, Cinzia, Cavalla, Paola, Pesci, Ilaria, Confalonieri, Paolo, Perini, Paola, Trojano, Maria, Lanzillo, Roberta, Tedeschi, Gioacchino, Comi, Giancarlo, Battaglia, Mario Alberto, Patti, Francesco, Salvetti, Marco, Sormani, Maria Pia, Group, MuSC‐19 Study, Abbadessa, Gianmarco, Aguglia, Umberto, Allegorico, Lia, Allegri, Beatrice Maria Rossi, Alteno, Anastasia, Amato, Maria Pia, Annovazzi, Pietro, Antozzi, Carlo, Appendino, Lucia, Arena, Sebastiano, Baione, Viola, Balgera, Roberto, Barcella, Valeria, Baroncini, Damiano, Barrilà, Caterina, Bellacosa, Alessandra, Bellucci, Gianmarco, Bergamaschi, Valeria, Bezzini, Daiana, Biolzi, Beatrice, Bisecco, Alvino, Bonavita, Simona, Borriello, Giovanna, Bosa, Chiara, Bosco, Antonio, Bovis, Francesca, Bozzali, Marco, Brambilla, Laura, Morra, Vincenzo Brescia, Buccafusca, Maria, Bucciantini, Elisabetta, Bucello, Sebastiano, Buscarinu, Maria Chiara, Cabboi, Maria Paola, Calabrese, Massimiliano, Calabria, Francesca, Caleri, Francesca, Camilli, Federico, Caniatti, Luisa Maria, Cantello, Roberto, Capra, Ruggero, Capuano, Rocco, Carta, Patrizia, Celani, Maria Grazia, Cellerino, Maria, Cerqua, Raffaella, Chisari, Clara, Clerici, Raffaella, Clerico, Marinella, Cola, Gaia, Conte, Antonella, Conti, Marta Zaffira, Cordano, Christian, Cordera, Susanna, Corea, Francesco, Correale, Claudio, Cottone, Salvatore, Crescenzo, Francesco, Curti, Erica, d’Ambrosio, Alessandro, D’Amico, Emanuele, Danni, Maura Chiara, d’Arma, Alessia, Dattola, Vincenzo, de Biase, Stefano, De Luca, Giovanna, De Mercanti, Stefania Federica, De Mitri, Paolo, De Stefano, Nicola, Della Cava, Fabio Maria, Della Cava, Marco, and Di Lemme, Sonia
Subjects: Neurosciences, Multiple Sclerosis, Brain Disorders, Pain Research, Neurodegenerative, Good Health and Well Being, Humans, Aged, COVID-19, Ageusia, SARS-CoV-2, Anosmia, MuSC-19 Study Group, demyelinating diseases, disease-modifying treatment, multiple sclerosis, neurological disorders, Clinical Sciences, Neurology & Neurosurgery
Abstract: Background and purposeClinical outcomes of multiple sclerosis (MS) patients affected by coronavirus disease 2019 (COVID-19) have been thoroughly investigated, but a further analysis on main signs and symptoms and their risk factors still needs attention. The objective of this study was to group together and describe based on similarity the most common signs and symptoms of COVID-19 in MS patients and identify all factors associated with their manifestation.MethodLogistic and linear regression models were run to recognize factors associated with each pooled group of symptoms and their total number.ResultsFrom March 2020 to November 2021, data were collected from 1354 MS patients with confirmed infection of COVID-19. Ageusia and anosmia was less frequent in older people (odds ratio [OR] 0.98; p = 0.005) and more in smoker patients (OR 1.39; p = 0.049). Smoke was also associated with an incremental number of symptoms (OR 1.24; p = 0.031), substance abuse (drugs or alcohol), conjunctivitis and rash (OR 5.20; p = 0.042) and the presence of at least one comorbidity with shortness of breath, tachycardia or chest pain (OR 1.24; p = 0.008). Some disease-modifying therapies were associated with greater frequencies of certain COVID-19 symptoms (association between anti-CD20 therapies and increment in the number of concomitant symptoms: OR 1.29; p = 0.05). Differences in frequencies between the three waves were found for flu-like symptoms (G1, p = 0.024), joint or muscle pain (G2, p = 0.013) and ageusia and anosmia (G5, p
Published: 2022

23. Non-Hodgkin lymphoma treated with anti-CD20 antibody-based immunochemotherapy

Author: Clerico, Michele, primary, Ragaini, Simone, additional, and Cavallo, Federica, additional
Published: 2024
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24. Long-term effectiveness of natalizumab in secondary progressive multiple sclerosis: A propensity-matched study

Author: Clara G. Chisari, Umberto Aguglia, Maria Pia Amato, Roberto Bergamaschi, Antonio Bertolotto, Simona Bonavita, Vincenzo Brescia Morra, Paola Cavalla, Eleonora Cocco, Antonella Conte, Salvatore Cottone, Giovanna De Luca, Alessia Di Sapio, Massimo Filippi, Antonio Gallo, Claudio Gasperini, Franco Granella, Giacomo Lus, Davide Maimone, Giorgia Teresa Maniscalco, Girolama Marfia, Lucia Moiola, Damiano Paolicelli, Ilaria Pesci, Paolo Ragonese, Marco Rovaris, Giuseppe Salemi, Claudio Solaro, Rocco Totaro, Maria Trojano, Marika Vianello, Mauro Zaffaroni, Vito Lepore, Francesco Patti, Carlo Avolio, Roberto Balgera, Paola Banfi, Paolo Bellantonio, Placido Bramanti, Lorenzo Capone, Guido Cavalletti, Luca Chiveri, Raffaella Clerici, Marinella Clerico, Francesco Corea, Vincenzo Dattola, Francesca De Robertis, Giancarlo Di Battista, Simonetta Galgani, Maurizia Gatto, Maria Grazia Grasso, Matilde Inglese, Lorenzo Lo Russo, Francesco Ottavio Logullo, Renato Mantegazza, Alessandra Protti, Monica Rezzonico, Mariarosa Rottoli, Marco Salvetti, Elio Scarpini, Leonardo Sinisi, Maddalena Sparaco, Daniele Spitaleri, Tiziana Tassinari, Simone Tonietti, Paola Valentino, Franco Valzania, and Simonetta Venturi
Subjects: Natalizumab, Interferon beta 1b, Secondary progressive multiple sclerosis, Disability progression, Neurology. Diseases of the nervous system, RC346-429
Abstract: Treatment options for secondary progressive MS (SPMS) are limited, especially considering that the new drugs recently approved are licensed for actively relapsing patients. We aimed to compare the disability progression in a real-world cohort of SPMS patients treated with natalizumab (NTZ) or interferon beta-1b (IFNb-1b). This multicenter retrospective enrolled patients with a diagnosis of SPMS according to 2014 Lublin criteria, who received NTZ or IFNb-1b for at least 48 months between the 1st June 2012 and the 15th May 2018 at 33 Italian MS centers contributing to the Italian MS Registry NTZ or IFNb-1b. Confirmed Expanded Disability Status Scale worsening (CEW) and progression independent of relapse (PIRA) were evaluated. In order to correct for non-randomization, a propensity score matching of the groups was performed. Out of 5206 MS patients identified at the time of data extraction, 421 SPMS patients treated with NTZ (224 [53.2%] females, mean age 45.3 ± 25.4 years) and 353 with IFNb-1b (133 [37.8%] females, mean age 48.5 ± 19.8 years) were enrolled. After applying the matching procedure, 102 patients were retained in the NTZ group and 98 in the IFNb-2b group. The proportion of patients who reached the 48-month 1-point CEW was significantly higher in IFNb-1b compared to NTZ group (58.2% versus 30.4%, p = 0.01). The proportion of patients who developed PIRA at 48 months were significantly higher in IFNb-1b compared to NTZ (72.4% versus 40.2%, p = 0.01). EDSS before treatment initiation and SPMS duration were risk factors for disability progression in terms of PIRA (HR 2.54, 25%CI 1.67–5.7; p = 0.006 and HR 2.04, 25%CI 1.22–3.35; p = 0.01, respectively). Patients treated with IFNb-1b were 1.64 times more to likely to develop PIRA (HR 1.64, 25%CI 1.04–4.87; p = 0.001). Treatment with NTZ in SPMS patients showed more favorable disability outcomes compared to IFNb-1b with beneficial effects over 48 months.
Published: 2024
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25. Real life clinical outcomes of relapsed/refractory diffuse large B cell lymphoma in the rituximab era: The STRIDER study

Author: Irene Dogliotti, Veronica Peri, Michele Clerico, Francesco Vassallo, Davide Musto, Silvio Mercadante, Simone Ragaini, Barbara Botto, Mario Levis, Mattia Novo, Marco Ghislieri, Luca Molinaro, Umberto Mortara, Chiara Consoli, Alessio Lonardo, Giulia Bondielli, Simone Ferrero, Roberto Freilone, Umberto Ricardi, Benedetto Bruno, and Federica Cavallo
Subjects: chemotherapy, diffuse large B cell lymphoma, real world, refractory disease, relapse, rituximab, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Abstract Background Relapse and refractory (R/R) rates after first‐line R‐CHOP in diffuse large B cell lymphomas (DLBCL) are ~40% and ~15% respectively. Aims We conducted a retrospective real‐world analysis aimed at evaluating clinical outcomes of R/R DLBCL patients. Material and Methods Overall, 403 consecutive DLBCL patients treated in two large hematological centers in Torino, Italy were reviewed. Results At a median follow up of 50 months, 5‐year overall survival from diagnosis (OS‐1) was 66.5%, and 2‐year progression free survival (PFS‐1) was 68%. 134 (34.4%) patients relapsed (n = 46, 11.8%) or were refractory (n = 88, 22.6%) to R‐CHOP. Most employed salvage treatments included platinum salt‐based regimens in 38/134 (28.4%), lenalidomide in 14 (10.4%). Median OS and PFS after disease relapse or progression (OS‐2 and PFS‐2) were 6.7 and 5.1 months respectively. No significant difference in overall response rate, OS‐2 or PFS‐2 in patients treated with platinum‐based regimens versus other regimens was observed. By multivariate analysis, age between 60 and 80 years, germinal center B cell type cell of origin and extranodal involvement of
Published: 2024
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26. Chained Generalisation Bounds

Author: Clerico, Eugenio, Shidani, Amitis, Deligiannidis, George, and Doucet, Arnaud
Subjects: Statistics - Machine Learning, Computer Science - Information Theory, Computer Science - Machine Learning
Abstract: This work discusses how to derive upper bounds for the expected generalisation error of supervised learning algorithms by means of the chaining technique. By developing a general theoretical framework, we establish a duality between generalisation bounds based on the regularity of the loss function, and their chained counterparts, which can be obtained by lifting the regularity assumption from the loss onto its gradient. This allows us to re-derive the chaining mutual information bound from the literature, and to obtain novel chained information-theoretic generalisation bounds, based on the Wasserstein distance and other probability metrics. We show on some toy examples that the chained generalisation bound can be significantly tighter than its standard counterpart, particularly when the distribution of the hypotheses selected by the algorithm is very concentrated. Keywords: Generalisation bounds; Chaining; Information-theoretic bounds; Mutual information; Wasserstein distance; PAC-Bayes.
Published: 2022

27. Antibacterial Effects of Thermosonication Technology on Salmonella typhimurium Strains Identified from Swine Food Chain: An In Vitro Study

Author: Luca Pennisi, Gianluigi Ferri, Carlotta Lauteri, Daniele Di Clerico, and Alberto Vergara
Subjects: thermosonication, cavitation phenomenon, Salmonella spp., bactericidal effect, food safety, Chemical technology, TP1-1185
Abstract: Among innovative food technologies, ultrasounds have demonstrated physical damages (provided by frequency and intensity factors) on bacterial structures while determining the microbiological stabilization of many foodstuffs. This study tested the efficacy of the thermosonication process on 16 Salmonella typhimurium strains belonging to the academic biobank (isolated from swine slaughterhouses). All strains were exposed to focused ultrasounds, generated by the Waveco® system (Milan, Italy), with the following settings: 40 KHz coupled with 80 W at different 5 min intervals starting from 5 to 15 ones, and focusing on two different temperatures: 40 °C and 50 °C. After each treatment, all strains were directly plated onto count agars immediately (t0) and after 24 h (t24) of storage at refrigerated temperature. The results showed bacterial reductions by prolonging the sonication treatments until 15 min (i.e., 50 °C for 15 min reduced of 2.16 log CFU/gr the initial loads). In the present in vitro study, the most considerable decrease was observed after 24 h. It meant that Salmonella strains were lethally damaged at the wall level, confirming the ultrasound bactericidal effect on loads. The present in vitro scientific investigation demonstrates the practical bactericidal effects of thermosonication, highlighting promising applications at the industry level for food microbial stabilization and shelf-life prolongation.
Published: 2024
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28. Homemade Diet as a Paramount for Dogs’ Health: A Descriptive Analysis

Author: Giulia Pignataro, Paolo Emidio Crisi, Elena Landolfi, Benedetta Belà, Isa Fusaro, Luana Clerico, and Alessandro Gramenzi
Subjects: homemade diet, dog nutrition, follow-up study, gastroenteropathy, dermopathy, Veterinary medicine, SF600-1100
Abstract: Pet nutrition awareness has risen enormously, with an increasing interest in homemade diets aimed at controlling food composition. The literature in this field is scarce, especially regarding the homemade diet’s long-term effects on pathological conditions. This prospective study encompassed 167 healthy and sick dogs subjected to a customized dietary plan based on homemade food. After an initial visit, dog owners provided questionnaires with follow-up data on their perceptions of physical sign changes or symptom modifications. A total of 104 (62%) subjects maintained the homemade diet, while 63 reverted to their previous diet. The median follow-up was 14 months. Out of 31 healthy dogs that continued the nutritional plan, 70% exhibited improvements in their coat condition and 47% a decrease in evacuation frequency. Regarding weight loss goals, 67% of dogs achieved their target. The 67 pathological dogs that completed the follow-up were primarily affected by gastrointestinal and dermatological disorders. Dogs with chronic enteropathy improved their symptoms in 95% of the cases, subjects with dermatological pathologies in 83%, and patients presenting both disorders in 100%. These clinical results are promising. Personalized and well-balanced homemade diets noticeably enhanced the overall pet’s health, with an almost complete remission of symptoms in pathological dogs.
Published: 2024
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29. Conditionally Gaussian PAC-Bayes

Author: Clerico, Eugenio, Deligiannidis, George, and Doucet, Arnaud
Subjects: Computer Science - Machine Learning, Statistics - Machine Learning
Abstract: Recent studies have empirically investigated different methods to train stochastic neural networks on a classification task by optimising a PAC-Bayesian bound via stochastic gradient descent. Most of these procedures need to replace the misclassification error with a surrogate loss, leading to a mismatch between the optimisation objective and the actual generalisation bound. The present paper proposes a novel training algorithm that optimises the PAC-Bayesian bound, without relying on any surrogate loss. Empirical results show that this approach outperforms currently available PAC-Bayesian training methods.
Published: 2021

30. Long-term effectiveness of natalizumab in secondary progressive multiple sclerosis: A propensity-matched study

Author: Avolio, Carlo, Balgera, Roberto, Banfi, Paola, Bellantonio, Paolo, Bramanti, Placido, Capone, Lorenzo, Cavalletti, Guido, Chiveri, Luca, Clerici, Raffaella, Clerico, Marinella, Corea, Francesco, Dattola, Vincenzo, De Robertis, Francesca, Di Battista, Giancarlo, Galgani, Simonetta, Gatto, Maurizia, Grasso, Maria Grazia, Inglese, Matilde, Lo Russo, Lorenzo, Logullo, Francesco Ottavio, Mantegazza, Renato, Protti, Alessandra, Rezzonico, Monica, Rottoli, Mariarosa, Salvetti, Marco, Scarpini, Elio, Sinisi, Leonardo, Sparaco, Maddalena, Spitaleri, Daniele, Tassinari, Tiziana, Tonietti, Simone, Valentino, Paola, Valzania, Franco, Venturi, Simonetta, Chisari, Clara G., Aguglia, Umberto, Amato, Maria Pia, Bergamaschi, Roberto, Bertolotto, Antonio, Bonavita, Simona, Morra, Vincenzo Brescia, Cavalla, Paola, Cocco, Eleonora, Conte, Antonella, Cottone, Salvatore, De Luca, Giovanna, Di Sapio, Alessia, Filippi, Massimo, Gallo, Antonio, Gasperini, Claudio, Granella, Franco, Lus, Giacomo, Maimone, Davide, Maniscalco, Giorgia Teresa, Marfia, Girolama, Moiola, Lucia, Paolicelli, Damiano, Pesci, Ilaria, Ragonese, Paolo, Rovaris, Marco, Salemi, Giuseppe, Solaro, Claudio, Totaro, Rocco, Trojano, Maria, Vianello, Marika, Zaffaroni, Mauro, Lepore, Vito, and Patti, Francesco
Published: 2024
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31. Low-frequency focused thermosonication for Salmonella typhimurium inactivation: an in vitro study

Author: Carlotta Lauteri, Luca Pennisi, Daniele Di Clerico, Viola Pennisi, and Alberto Vergara
Subjects: Salmonella typhimurium, low frequency focused ultrasound, thermosonication, Salmonella inactivation in food matrix, Food processing and manufacture, TP368-456
Abstract: Customer requests are addressed to safe products that best express their characteristics of "naturalness" and "freshness" for the entire shelf life; therefore, scientific research has been exploring the use of "non-thermal technologies". Thermosonication using low-frequency focused ultrasound determines bacterial inactivation through the phenomenon of "cavitation", guaranteeing high-quality standards of safety, nutrition, and freshness of the products. The present work aims to evaluate the effectiveness of inactivation of Salmonella typhimurium in culture broth by low-frequency focused thermosonication with two different operational parameters: sublethal temperature (40°C, 50°C) and treatment time (5, 10, and 15 minutes). Treatment determined a bacterial load reduction compared to the negative control (untreated inoculum), which was statistically significant at the T-test (p
Published: 2024
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32. Wide stochastic networks: Gaussian limit and PAC-Bayesian training

Author: Clerico, Eugenio, Deligiannidis, George, and Doucet, Arnaud
Subjects: Statistics - Machine Learning, Computer Science - Machine Learning
Abstract: The limit of infinite width allows for substantial simplifications in the analytical study of over-parameterised neural networks. With a suitable random initialisation, an extremely large network exhibits an approximately Gaussian behaviour. In the present work, we establish a similar result for a simple stochastic architecture whose parameters are random variables, holding both before and during training. The explicit evaluation of the output distribution allows for a PAC-Bayesian training procedure that directly optimises the generalisation bound. For a large but finite-width network, we show empirically on MNIST that this training approach can outperform standard PAC-Bayesian methods.
Published: 2021

33. Efficacy and effectiveness of Herpes zoster vaccination in adults with diabetes mellitus: a systematic review and meta-analysis of clinical trials and observational studies

Author: Silverii, Giovanni Antonio, Clerico, Alessandra, Fornengo, Riccardo, Gabutti, Giovanni, Sordi, Valeria, Peruzzi, Ottavia, Tafuri, Silvio, Mannucci, Edoardo, and Dicembrini, Ilaria
Published: 2023
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34. The ability of donkey sperm to induce oocyte activation and mule embryo development after ICSI

Author: Arroyo-Salvo, Camila, Cogollo Villarreal, Marïa Y., Clérico, Gabriel, Flores Bragulat, Ana P., Niño Vargas, Andrea, Castañeira, Catalina, Briski, Olinda, Alonso, Carolina, Plaza, Jessica, Zeledon, Jose M., Losinno, Luis, Miragaya, Marcelo, Sansinena, Marina, Martinez, Silvina Perez, and Gambini, Andrés
Published: 2024
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35. The effect of air pollution on COVID‐19 severity in a sample of patients with multiple sclerosis

Author: Bergamaschi, Roberto, Ponzano, Marta, Schiavetti, Irene, Carmisciano, Luca, Cordioli, Cinzia, Filippi, Massimo, Radaelli, Marta, Immovilli, Paolo, Capobianco, Marco, De Rossi, Nicola, Brichetto, Giampaolo, Cocco, Eleonora, Scandellari, Cinzia, Cavalla, Paola, Pesci, Ilaria, Zito, Antonio, Confalonieri, Paolo, Marfia, Girolama Alessandra, Perini, Paola, Inglese, Matilde, Trojano, Maria, Morra, Vincenzo Brescia, Pisoni, Enrico, Tedeschi, Gioacchino, Comi, Giancarlo, Battaglia, Mario Alberto, Patti, Francesco, Salvetti, Marco, Sormani, Maria Pia, Abbadessa, Gianmarco, Aguglia, Umberto, Allegorico, Lia, Allegri, Rossi Beatrice Maria, Alteno, Anastasia, Amato, Maria Pia, Annovazzi, Pietro, Antozzi, Carlo, Appendino, Lucia, Arena, Sebastiano, Baione, Viola, Balgera, Roberto, Barcella, Valeria, Baroncini, Damiano, Barrilà, Caterina, Battaglia, Mario A, Bellacosa, Alessandra, Bellucci, Gianmarco, Bergamaschi, Valeria, Bezzini, Daiana, Biolzi, Beatrice, Bisecco, Alvino, Bonavita, Simona, Borriello, Giovanna, Bosa, Chiara, Bosco, Antonio, Bovis, Francesca, Bozzali, Marco, Brambilla, Laura, Brescia, Morra Vincenzo, Buccafusca, Maria, Bucciantini, Elisabetta, Bucello, Sebastiano, Buscarinu, Maria Chiara, Cabboi, Maria Paola, Calabrese, Massimiliano, Calabria, Francesca, Caleri, Francesca, Camilli, Federico, Caniatti, Luisa Maria, Cantello, Roberto, Capra, Ruggero, Capuano, Rocco, Carta, Patrizia, Celani, Maria Grazia, Cellerino, Maria, Cerqua, Raffaella, Chisari, Clara, Clerici, Raffaella, Clerico, Marinella, Cola, Gaia, Conte, Antonella, Conti, Marta Zaffira, Cordano, Christian, Cordera, Susanna, Corea, Francesco, Correale, Claudio, Cottone, Salvatore, Crescenzo, Francesco, Curti, Erica, d'Ambrosio, Alessandro, and D'Amico, Emanuele
Subjects: Clinical Research, Neurosciences, Multiple Sclerosis, Brain Disorders, Autoimmune Disease, Neurodegenerative, Climate-Related Exposures and Conditions, Good Health and Well Being, Sustainable Cities and Communities, Air Pollution, COVID-19, Humans, Particulate Matter, SARS-CoV-2, MuSC-19 study group, air pollution, coronavirus, multiple sclerosis, Clinical Sciences, Neurology & Neurosurgery
Abstract: Background and purposeSome studies have shown that air pollution, often assessed by thin particulate matter with diameter below 2.5 µg/m3 (PM2.5), may contribute to severe COVID-19 courses, as well as play a role in the onset and evolution of multiple sclerosis (MS). However, the impact of air pollution on COVID-19 has never been explored specifically amongst patients with MS (PwMS). This retrospective observational study aims to explore associations between PM2.5 and COVID-19 severity amongst PwMS.MethodsData were retrieved from an Italian web-based platform (MuSC-19) which includes PwMS with COVID-19. PM2.5 2016-2018 average concentrations were provided by the Copernicus Atmospheric Monitoring Service. Italian patients inserted in the platform from 15 January 2020 to 9 April 2021 with a COVID-19 positive test were included. Ordered logistic regression models were used to study associations between PM2.5 and COVID-19 severity.ResultsIn all, 1087 patients, of whom 13% required hospitalization and 2% were admitted to an intensive care unit or died, were included. Based on the multivariate analysis, higher concentrations of PM2.5 increased the risk of worse COVID-19 course (odds ratio 1.90; p = 0.009).ConclusionsEven if several other factors explain the unfavourable course of COVID-19 in PwMS, the role of air pollutants must be considered and further investigated.
Published: 2022

36. Fast response photogating in monolayer MoS2 phototransistors

Author: Vaquero, Daniel, Clericò, Vito, Salvador-Sánchez, Juan, Díaz, Elena, Domínguez-Adame, Francisco, Chico, Leonor, Meziani, Yahya M., Diez, Enrique, and Quereda, Jorge
Subjects: Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Materials Science
Abstract: Two-dimensional transition metal dichalcogenide (TMD) phototransistors have been object of intensive research during the last years due to their potential for photodetection. Photoresponse in these devices is typically caused by a combination of two physical mechanisms: photoconductive effect (PCE) and photogating effect (PGE). In earlier literature for monolayer (1L) MoS2 phototransistors PGE is generally attributed to charge trapping by polar molecules adsorbed to the semiconductor channel, giving rise to a very slow photoresponse. Thus, the photoresponse of 1L-MoS2 phototransistors at high-frequency light modulation is assigned to PCE alone. Here we investigate the photoresponse of a fully h-BN encapsulated monolayer (1L) MoS2 phototransistor. In contrast with previous understanding, we identify a rapidly responding PGE mechanism that becomes the dominant contribution to photoresponse under high-frequency light modulation. Using a Hornbeck-Haynes model for the photocarrier dynamics, we fit the illumination power dependence of this PGE and estimate the energy level of the involved traps. The resulting energies are compatible with shallow traps in MoS2 caused by the presence of sulfur vacancies., Comment: arXiv admin note: text overlap with arXiv:2004.02526
Published: 2020

37. Wide stochastic networks: Gaussian limit and PAC-Bayesian training.

Author: Eugenio Clerico, George Deligiannidis, and Arnaud Doucet
Published: 2023

38. Cardiac Biomarkers

Author: Clerico, Aldo, Zaninotto, Martina, and Ciaccio, Marcello, editor
Published: 2023
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39. New insights into the structure and function of the complex between the Escherichia coli Hsp70, DnaK, and its nucleotide-exchange factor, GrpE

Author: Rossi, Maria-Agustina, Pozhidaeva, Alexandra K., Clerico, Eugenia M., Petridis, Constantine, and Gierasch, Lila M.
Published: 2024
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40. The impact of PM2.5, PM10 and NO2 on Covid-19 severity in a sample of patients with multiple sclerosis: A case-control study

Author: Gianmarco, Abbadessa, Umberto, Aguglia, Lia, Allegorico, Maria, Allegri Rossi Beatrice, Anastasia, Alteno, Pia, Amato Maria, Pietro, Annovazzi, Carlo, Antozzi, Lucia, Appendino, Sebastiano, Arena, Viola, Baione, Roberto, Balgera, Valeria, Barcella, Damiano, Baroncini, Caterina, Barrilà, Mario A, Battaglia, Alessandra, Bellacosa, Gianmarco, Bellucci, Roberto, Bergamaschi, Valeria, Bergamaschi, Daiana, Bezzini, Beatrice, Biolzi, Alvino, Bisecco, Simona, Bonavita, Giovanna, Borriello, Chiara, Bosa, Antonio, Bosco, Francesca, Bovis, Marco, Bozzali, Laura, Brambilla, Vincenzo, Brescia Morra, Giampaolo, Brichetto, Maria, Buccafusca, Elisabetta, Bucciantini, Sebastiano, Bucello, Chiara, Buscarinu Maria, Paola, Cabboi Maria, Massimiliano, Calabrese, Francesca, Calabria, Francesca, Caleri, Federico, Camilli, Maria, Caniatti Luisa, Roberto, Cantello, Marco, Capobianco, Ruggero, Capra, Rocco, Capuano, Luca, Carmisciano, Patrizia, Carta, Paola, Cavalla, Grazia, Celani Maria, Maria, Cellerino, Raffaella, Cerqua, Clara, Chisari, Raffaella, Clerici, Marinella, Clerico, Eleonora, Cocco, Gaia, Cola, Giancarlo, Comi, Paolo, Confalonieri, Antonella, Conte, Zaffira, Conti Marta, Christian, Cordano, Susanna, Cordera, Cinzia, Cordioli, Francesco, Corea, Claudio, Correale, Salvatore, Cottone, Francesco, Crescenzo, Erica, Curti, Alessandro, d'Ambrosio, Emanuele, D'Amico, Chiara, Danni Maura, Alessia, d'Arma, Vincenzo, Dattola, Stefano, de Biase, Giovanna, De Luca, Federica, De Mercanti Stefania, Paolo, De Mitri, Nicola, De Rossi, Nicola, De Stefano, Maria, Della Cava Fabio, Marco, Della Cava, Sonia, Di Lemme, Mario, di Napoli, Alessia, Di Sapio, Renato, Docimo, Anna, Dutto, Luana, Evangelista, Salvatore, Fanara, Roberta, Fantozzi, Diana, Ferraro, Teresa, Ferrò Maria, Massimo, Filippi, Cristina, Fioretti, Mario, Fratta, Jessica, Frau, Marzia, Fronza, Roberto, Furlan, Alberto, Gajofatto, Antonio, Gallo, Paolo, Gallo, Claudio, Gasperini, Anna, Ghazaryan, Bruno, Giometto, Francesca, Gobbin, Flora, Govone, Franco, Granella, Erica, Grange, Grazia, Grasso Maria, Luigi ME, Grimaldi, Angelica, Guareschi, Clara, Guaschino, Simone, Guerrieri, Donata, Guidetti, Barbara, Juergenson Ina, Pietro, Iaffaldano, Antonio, Ianniello, Luigi, Iasevoli, Paolo, Immovilli, Daniele, Imperiale, Teresa, Infante Maria, Matilde, Inglese, Rosa, Iodice, Aniello, Iovino, Giovanna, Konrad, Doriana, Landi, Roberta, Lanzillo, Caterina, Lapucci, Luigi, Lavorgna, Rita, L'Episcopo Maria, Serena, Leva, Giuseppe, Liberatore, Marianna, Lo Re, Marco, Longoni, Leonardo, Lopiano, Lorena, Lorefice, Matteo, Lucchini, Giacomo, Lus, Davide, Maimone, Maria, Malentacchi, Giulia, Mallucci, Simona, Malucchi, Rosa, Mancinelli Chiara, Luca, Mancinelli, Paolo, Manganotti, Teresa, Maniscalco Giorgia, Vittorio, Mantero, Sabrina, Marangoni, Damiano, Marastoni, Alessandra, Marfia Girolama, Fabiana, Marinelli, Alessandro, Marti, Filippo, Martinelli Boneschi, Federco, Masserano Zoli, Francesca, Matta, Laura, Mendozzi, Giuseppe, Meucci, Silvia, Miante, Giuseppina, Miele, Eva, Milano, Massimiliano, Mirabella, Rosanna, Missione, Marcello, Moccia, Lucia, Moiola, Sara, Montepietra, Margherita, MontiBragadin, Federico, Montini, Roberta, Motta, Raffaele, Nardone, Gabri, Nicoletti Carolina, Eduardo, Nobile-Orazio, Agostino, Nozzolillo, Marco, Onofrj, Riccardo, Orlandi, Anna, Palmieri, Damiano, Paolicelli, Livia, Pasquali, Fulvio, Pasquin, Luisa, Pastò, Francesco, Patti, Elisabetta, Pedrazzoli, Paola, Perini, Ilaria, Pesci, Maria, Petracca, Alfredo, Petrone, Carlo, Piantadosi, Anna M, Pietroboni, Federica, Pinardi, Marta, Ponzano, Emilio, Portaccio, Mattia, Pozzato, Carlo, Pozzilli, Luca, Prosperini, Alessandra, Protti, Eugenio, Pucci, Marta, Radaelli, Paolo, Ragonese, Sarah, Rasia, Sabrina, Realmuto, Anna, Repice, Eleonora, Rigoni, Teresa, Rilla Maria, Francesca, Rinaldi, Marcello, Romano Calogero, Marco, Ronzoni, Marco, Rovaris, Francesca, Ruscica, Loredana, Sabattini, Giuseppe, Salemi, Marco, Salvetti, Lorenzo, Saraceno, Alessia, Sartori, Arianna, Sartori, Elvira, Sbragia, Cinzia, Scandellari, Ilaria, Scarano Giuditta, Valentina, Scarano, Irene, Schiavetti, Maria, Sessa, Caterina, Sgarito, Grazia, Sibilia, Gabriele, Siciliano, Alessio, Signori, Elisabetta, Signoriello, Leonardo, Sinisi, Francesca, Sireci, Patrizia, Sola, Claudio, Solaro, Pia, Sormani Maria, Stefano, Sotgiu, Maddalena, Sparaco, Laura, Stromillo Maria, Silvia, Strumia, Laura, Susani Emanuela, Giulietta, Tabiadon, Francesco, Teatini, Gioacchino, Tedeschi, Valentina, Tomassini, Simone, Tonietti, Valentina, Torri Clerici, Carla, Tortorella, Simona, Toscano, Rocco, Totaro, Maria, Trojano, Maria, Trotta, Gabriella, Turano, Monica, Ulivelli, Manzo, Valentino, Giovanna, Vaula, Domizia, Vecchio, Marco, Vercellino, Pinuccia, Verrengia Elena, Marika, Vianello, Eleonora, Virgilio, Francesca, Vitetta, Stefano, Vollaro, Mauro, Zaffaroni, Mauro, Zampolini, Roberto, Zarbo Ignazio, Antonio, Zito, Luigi, Zuliani, Ponzano, Marta, Schiavetti, Irene, Bergamaschi, Roberto, Pisoni, Enrico, Bellavia, Andrea, Mallucci, Giulia, Carmisciano, Luca, Inglese, Matilde, Cordioli, Cinzia, Marfia, Girolama Alessandra, Cocco, Eleonora, Immovilli, Paolo, Pesci, Ilaria, Scandellari, Cinzia, Cavalla, Paola, Radaelli, Marta, Vianello, Marika, Vitetta, Francesca, Montepietra, Sara, Amato, Maria Pia, Fioretti, Cristina, Filippi, Massimo, Sartori, Arianna, Caleri, Francesca, Clerico, Marinella, Gallo, Antonio, Conte, Antonella, Clerici, Raffaella, De Luca, Giovanna, Boneschi, Filippo Martinelli, Cantello, Roberto, Calabrese, Massimiliano, Tortorella, Carla, Rovaris, Marco, Verrengia, Elena Pinuccia, Patti, Francesco, Morra, Vincenzo Brescia, Salvetti, Marco, and Sormani, Maria Pia
Published: 2022
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41. Stable ResNet

Author: Hayou, Soufiane, Clerico, Eugenio, He, Bobby, Deligiannidis, George, Doucet, Arnaud, and Rousseau, Judith
Subjects: Computer Science - Machine Learning, Statistics - Machine Learning
Abstract: Deep ResNet architectures have achieved state of the art performance on many tasks. While they solve the problem of gradient vanishing, they might suffer from gradient exploding as the depth becomes large (Yang et al. 2017). Moreover, recent results have shown that ResNet might lose expressivity as the depth goes to infinity (Yang et al. 2017, Hayou et al. 2019). To resolve these issues, we introduce a new class of ResNet architectures, called Stable ResNet, that have the property of stabilizing the gradient while ensuring expressivity in the infinite depth limit., Comment: 43 pages, 4 figures
Published: 2020

42. Excitons, trions and Rydberg states in monolayer MoS2 revealed by low temperature photocurrent spectroscopy

Author: Vaquero, Daniel, Clericò, Vito, Salvador-Sánchez, Juan, Martín-Ramos, Adrián, Díaz, Elena, Domínguez-Adame, Francisco, Meziani, Yahya M., Diez, Enrique, and Quereda, Jorge
Subjects: Condensed Matter - Materials Science, Physics - Applied Physics, Physics - Optics
Abstract: We investigate excitonic transitions in a h-BN encapsulated monolayer $\textrm{MoS}_2$ phototransistor by photocurrent spectroscopy at cryogenic temperature (T = 5 K). The spectra presents excitonic peaks with linewidths as low as 8 meV, one order of magnitude lower than in earlier photocurrent spectroscopy measurements. We observe four spectral features corresponding to the ground states of neutral excitons ($\textrm{X}_{\textrm{1s}}^\textrm{A}$ and $\textrm{X}_{\textrm{1s}}^\textrm{B}$) and charged trions ($\textrm{T}^\textrm{A}$ and $\textrm{T}^\textrm{B}$) as well as up to eight additional spectral lines at energies above the $\textrm{X}_{\textrm{1s}}^\textrm{B}$ transition, which we attribute to the Rydberg series of excited states of $\textrm{X}^\textrm{A}$ and $\textrm{X}^\textrm{B}$. The relative intensities of the different spectral features can be tuned by the applied gate and drain-source voltages, with trions and Rydberg excited states becoming more prominent at large gate voltages. Using an effective-mass theory for excitons in two-dimensional transition-metal dichalcogenides we are able to accurately fit the measured spectral lines and unambiguously associate them with their corresponding Rydberg states. The fit also allows us to determine the quasiparticle bandgap and spin-orbit splitting of monolayer $\textrm{MoS}_2$, as well as the exciton binding energies of $\textrm{X}^\textrm{A}$ and $\textrm{X}^\textrm{B}$.
Published: 2020

43. Editorial: Advances in proctology and colorectal surgery

Author: Marta Goglia, Mario Trompetto, Alberto Realis Luc, Giuseppe Clerico, and Gaetano Gallo
Subjects: colorectal surgery, proctology, pelvic floor, functional diseases, hemorrhoids, pilonidal disease, Surgery, RD1-811
Published: 2023
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44. A new computational workflow to guide personalized drug therapy

Author: Pernice, Simone, Maglione, Alessandro, Tortarolo, Dora, Sirovich, Roberta, Clerico, Marinella, Rolla, Simona, Beccuti, Marco, and Cordero, Francesca
Published: 2023
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45. A Fecal MicroRNA Signature by Small RNA Sequencing Accurately Distinguishes Colorectal Cancers: Results From a Multicenter Study

Author: Pardini, Barbara, Ferrero, Giulio, Tarallo, Sonia, Gallo, Gaetano, Francavilla, Antonio, Licheri, Nicola, Trompetto, Mario, Clerico, Giuseppe, Senore, Carlo, Peyre, Sergio, Vymetalkova, Veronika, Vodickova, Ludmila, Liska, Vaclav, Vycital, Ondrej, Levy, Miroslav, Macinga, Peter, Hucl, Tomas, Budinska, Eva, Vodicka, Pavel, Cordero, Francesca, and Naccarati, Alessio
Published: 2023
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46. Multi-Sensor Device for Traceable Monitoring of Indoor Environmental Quality

Author: Virginia Isabella Fissore, Giuseppina Arcamone, Arianna Astolfi, Alberto Barbaro, Alessio Carullo, Pietro Chiavassa, Marina Clerico, Stefano Fantucci, Franco Fiori, Davide Gallione, Edoardo Giusto, Alice Lorenzati, Nicole Mastromatteo, Bartolomeo Montrucchio, Anna Pellegrino, Gabriele Piccablotto, Giuseppina Emma Puglisi, Gustavo Ramirez-Espinosa, Erica Raviola, Antonio Servetti, and Louena Shtrepi
Subjects: indoor environmental quality, multi-sensor, metrological characterization, uncertainty, bare sensors, Chemical technology, TP1-1185
Abstract: The Indoor Environmental Quality (IEQ) combines thermal, visual, acoustic, and air-quality conditions in indoor environments and affects occupants’ health, well-being, and comfort. Performing continuous monitoring to assess IEQ is increasingly proving to be important, also due to the large amount of time that people spend in closed spaces. In the present study, the design, development, and metrological characterization of a low-cost multi-sensor device is presented. The device is part of a wider system, hereafter referred to as PROMET&O (PROactive Monitoring for indoor EnvironmenTal quality & cOmfort), that also includes a questionnaire for the collection of occupants’ feedback on comfort perception and a dashboard to show end users all monitored data. The PROMET&O multi-sensor monitors the quality conditions of indoor environments thanks to a set of low-cost sensors that measure air temperature, relative humidity, illuminance, sound pressure level, carbon monoxide, carbon dioxide, nitrogen dioxide, particulate matter, volatile organic compounds, and formaldehyde. The device architecture is described, and the design criteria related to measurement requirements are highlighted. Particular attention is paid to the calibration of the device to ensure the metrological traceability of the measurements. Calibration procedures, based on the comparison to reference standards and following commonly employed or ad hoc developed technical procedures, were defined and applied to the bare sensors of air temperature and relative humidity, carbon dioxide, illuminance, sound pressure level, particulate matter, and formaldehyde. The next calibration phase in the laboratory will be aimed at analyzing the mutual influences of the assembled multi-sensor hardware components and refining the calibration functions.
Published: 2024
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47. Lower Multiple Sclerosis Severity Score Is Associated with Higher Adherence to Mediterranean Diet in Subjects with Multiple Sclerosis from Northwestern Italy

Author: Matteo Bronzini, Alessandro Maglione, Rachele Rosso, Federica Masuzzo, Manuela Matta, Raffaella Meroni, Simona Rolla, and Marinella Clerico
Subjects: multiple sclerosis, Mediterranean diet, MSSS, MEDAS, IMI, PyrMDS, Nutrition. Foods and food supply, TX341-641
Abstract: The Mediterranean Diet (MD) is described in the literature as a beneficial dietary pattern for neurodegenerative diseases such as Multiple Sclerosis (MS). The objective of this study was to evaluate the dietary habits in people with MS (pwMS) and to test whether adherence to the MD could have an impact on the severity of the disease measured as the MS severity score (MSSS). Adherence to the MD was assessed in 31 PwMS using the Mediterranean Diet Adherence Screener (MEDAS), the Pyramid-based Mediterranean Diet Score (PyrMDS) index, and the Italian Mediterranean Index (IMI), and their eating habits were recorded in a food diary for a one-year follow-up. When data obtained from dietary analysis were compared to the MSSS, results showed that pwMS with lower MSSS adhere more to the MD than the other pwMS groups according to the MEDAS index. Furthermore, a high consumption of fiber in the MS mild severity class was observed. Further studies are needed to clarify which of the nutritional components of the MD may impact the course of MS and if the sensitization of pwMS to MD adherence can be a strategy for mitigating the disease.
Published: 2024
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48. Optimizing the 'Time to pregnancy' in women with multiple sclerosis: the OPTIMUS Delphi survey

Author: Luigi Carbone, Doriana Landi, Raffaella Di Girolamo, Paola Anserini, Diego Centonze, Girolama Alessandra Marfia, Carlo Alviggi, the Interdisciplinary Group for Fertility in Multiple Sclerosis (IGFMS), Roberta Lanzillo, Pietro Annovazzi, Simona Bonavita, Giovanna Borriello, Paola Cavalla, Raffaella Cerqua, Marinella Clerico, Eleonora Cocco, Cinzia Cordioli, Emanuele D’Amico, Giovanna De Luca, Massimiliano Di Filippo, Roberta Fantozzi, Diana Ferraro, Pietro Iaffaldano, Matilde Inglese, Paola Perini, Emilio Portaccio, Paolo Ragonese, Valentina Torri Clerici, Carla Tortorella, and Paola Valentino
Subjects: multiple sclerosis, infertility, time to pregnancy, Delphi, assisted reproductive technology, Neurology. Diseases of the nervous system, RC346-429
Abstract: BackgroundThe debate on how to manage women affected by multiple sclerosis (MS) during reproductive age is still open, as is the issue of fertility in such patients. Main issue regard the identification of the optimal window for pregnancy and how to deal with medical therapy before and during conception. The aim of this Delphi consensus was to collect the opinions of a multidisciplinary group, involving reproductive medicine specialists and neurologists with experience in the management of multiple sclerosis women with reproductive desire.MethodsFour experts plus scientific coordinators developed a questionnaire distributed online to 10 neurologists and later discussed the responses and amended a list of statements. The statements were then distributed via an online survey to 23 neurologists (comprising the first 10), who voted on their level of agreement/disagreement with each statement. Consensus was achieved if agreement or disagreement with a statement exceeded 66%.ResultsTwenty-one statements reached consensus after two rounds of voting, leading to the following main recommendations: (1) Fertility evaluation should be suggested to wMS, in case of the need to shorten time to pregnancy and before treatment switch in women on DMTs contraindicated in pregnancy, particularly in case of highly active disease and age > 35 years. (2) ART should not be discouraged in wMS, but the use of DMTs until pregnancy confirmation should be suggested; ART may be considered in order to reduce time to pregnancy in MS women with a reduced ovarian reserve and/or age > 35 years, but in case of an expected poor ART prognosis and the need for more than one ART cycle, a switch to a high-efficacy DMD before ART should be offered. (3) Oocyte cryopreservation may be considered in women with reduced ovarian reserve, with unpredictable time to complete diagnostic workup and achieve disease control; a risk/cost–benefit analysis must be performed in women >35 years, considering the diminished ovarian reserve.ConclusionThis consensus will help MS neurologists to support family planning in wMS, respecting MS therapeutic needs while also taking into account the safety and impact of advancing age on fertility.
Published: 2023
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49. Exploring the cost-effectiveness of high versus low perioperative fraction of inspired oxygen in the prevention of surgical site infections among abdominal surgery patients in three low- and middle-income countries

Author: Mwayi Kachapila, Mark Monahan, Adesoji O. Ademuyiwa, Yakubu Momohsani Adinoyi, Bruce M. Biccard, Christina George, Dhruva N. Ghosh, James Glasbey, Dion G. Morton, Osaheni Osayomwanbo, Rupert Pearse, Tracy E. Roberts, Atul Suroy, Saidu Yusuf Yakubu, Raymond Oppong, Aneel Bhangu, Maria Lorena Aguilera, Philip Alexander, Sara W. Al-Saqqa, Giuliano Borda-Luque, Ainhoa Costas-Chavarri, Thomas M. Drake, Faustin Ntirenganya, J. Edward Fitzgerald, Stuart J. Fergusson, J.C. Allen Ingabire, Lawani Ismaïl, Hosni Khairy Salem, Anyomih Theophilus Teddy Kojo, Marie Carmela Lapitan, Richard Lilford, Andre L. Mihaljevic, Dion Morton, Alphonse Zeta Mutabazi, Dmitri Nepogodiev, Adewale O. Adisa, Riinu Ots, Francesco Pata, Thomas Pinkney, Tomas Poškus, Ahmad Uzair Qureshi, Antonio Ramos-De la Medina, Sarah Rayne, Catherine A. Shaw, Sebastian Shu, Richard Spence, Neil Smart, Stephen Tabiri, Ewen M. Harrison, Azmina Verjee, Emmy Runigamugabo, Chetan Khatri, Midhun Mohan, Zahra Jaffry, Afnan Altamini, Andrew Kirby, Kjetil Søreide, Gustavo Recinos, Jen Cornick, Maria Marta Modolo, Dushyant Iyer, Sebastian King, Tom Arthur, Sayeda Nazmum Nahar, Ade Waterman, Michael Walsh, Arnav Agarwal, Augusto Zani, Mohammed Firdouse, Tyler Rouse, Qinyang Liu, Juan Camilo Correa, Peep Talving, Mengistu Worku, Alexis Arnaud, Vassilis Kalles, Basant Kumar, Sunil Kumar, Radhian Amandito, Roy Quek, Luca Ansaloni, Ahmed Altibi, Donatas Venskutonis, Justas Zilinskas, Tomas Poskus, John Whitaker, Vanessa Msosa, Yong Yong Tew, Alexia Farrugia, Elaine Borg, Zineb Bentounsi, Tanzeela Gala, Ibrahim Al-Slaibi, Haya Tahboub, Osaid H. Alser, Diego Romani, Sebestian Shu, Piotr Major, Aurel Mironescu, Matei Bratu, Amar Kourdouli, Aliyu Ndajiwo, Abdulaziz Altwijri, Mohammed Ubaid Alsaggaf, Ahmad Gudal, Al Faifi Jubran, Sam Seisay, Bettina Lieske, Irene Ortega, Jenifa Jeyakumar, Kithsiri J. Senanayake, Omar Abdulbagi, Yucel Cengiz, Dmitri Raptis, Yuksel Altinel, Chia Kong, Ella Teasdale, Gareth Irwin, Michael Stoddart, Rakan Kabariti, Sukrit Suresh, Katherine Gash, Ragavan Narayanan, Mayaba Maimbo, Besmir Grizhja, Shpetim Ymeri, Gezim Galiqi, Roberto Klappenbach, Diego Antezana, Alvaro Enrique Mendoza Beleño, Cecilia Costa, Belen Sanchez, Susan Aviles, Claudio Gabriel Fermani, Rubén Balmaceda, Santiago Villalobos, Juan Manuel Carmona, Daniel Hamill, Peter Deutschmann, Simone Sandler, Daniel Cox, Ram Nataraja, Claire Sharpin, Damir Ljuhar, Demi Gray, Morgan Haines, Dush Iyer, Nithya Niranjan, Scott D'Amours, Morvarid Ashtari, Helena Franco, Ashrarur Rahman Mitul, Sabbir Karim, Nowrin F. Aman, Mahnuma Mahfuz Estee, Umme Salma, Joyeta Razzaque, Tasnia Hamid Kanta, Sayeeda Aktar Tori, Shadid Alamin, Swapnil Roy, Shadid Al Amin, Rezaul Karim, Muhtarima Haque, Amreen Faruq, Farhana Iftekhar, Margaret O'Shea, Greg Padmore, Ramesh Jonnalagadda, Andrey Litvin, Aliaksandr Filatau, Dzmitry Paulouski, Maryna Shubianok, Tatsiana Shachykava, Dzianis Khokha, Vladimir Khokha, Fernande Djivoh, Francis Dossou, Djifid Morel Seto, Dansou Gaspard Gbessi, Bruno Noukpozounkou, Yacoubou Imorou Souaibou, Kpèmahouton René Keke, Fred Hodonou, Ernest Yemalin Stephane Ahounou, Thierry Alihonou, Max Dénakpo, Germain Ahlonsou, Alemayehu Ginbo Bedada, Carlos Nsengiyumva, Sandrine Kwizera, Venerand Barendegere, Philip Choi, Simon Stock, Luai Jamal, Georges Azzie, Sameer Kushwaha, Tzu-Ling Chen, Chingwan Yip, Irene Montes, Felipe Zapata, Sebastian Sierra, Maria Isabel Villegas Lanau, Maria Clara Mendoza Arango, Ivan Mendoza Restrepo, Ruben Santiago Restrepo Giraldo, Edgar Domini, Robert Karlo, Jakov Mihanovic, Mohamed Youssef, Hossam Elfeki, Waleed Thabet, Aly Sanad, Gehad Tawfik, Ahmed Zaki, Noran Abdel-Hameed, Mohamed Mostafa, Muhammad Fathi Waleed Omar, Ahmed Ghanem, Emad Abdallah, Adel Denewar, Eman Emara, Eman Rashad, Ahmad Sakr, Rehab Elashry, Sameh Emile, Toqa Khafagy, Sara Elhamouly, Arwa Elfarargy, Amna Mamdouh Mohamed, Ghada Saied Nagy, Abeer Esam, Eman Elwy, Aya Hammad, Salwa Khallaf, Eman Ibrahim, Ahmed Saidbadr, Ahmed Moustafa, Amany Eldosouky Mohammed, Mohammed Elgheriany, Eman Abdelmageed, Eman Abd Al Raouf, Esraa Samir Elbanby, Maha Elmasry, Mahitab Morsy Farahat, Eman Yahya Mansor, Eman Magdy Hegazy, Esraa Gamal, Heba Gamal, Hend Kandil, Doaa Maher Abdelrouf, Mohamed Moaty, Dina Gamal, Nada El-Sagheer, Mohamed Salah, Salma Magdy, Asmaa Salah, Ahmed Essam, Ahmed Ali, Mahmoud Badawy, Sara Ahmed, Mazed Mohamed, Abdelrahman Assal, Mohamed Sleem, Mai Ebidy, Aly Abd Elrazek, Diaaaldin Zahran, Nourhan Adam, Mohamed Nazir, Adel B. Hassanein, Ahmed Ismail, Amira Elsawy, Rana Mamdouh, Mohamed Mabrouk, Lopna Ahmed Mohamed Ahmed, Mohamed Hassab Alnaby, Eman Magdy, Manar Abd-Elmawla, Marwan Fahim, Bassant Mowafy, Moustafa Ibrahim Mahmoud, Meran Allam, Muhammad Alkelani, Noran Halim El Gendy, Mariam Saad Aboul-Naga, Reham Alaa El-Din, Alyaa Halim Elgendy, Mohamed Ismail, Mahmoud Shalaby, Aya Adel Elsharkawy, Mahmoud Elsayed Moghazy, Khaled Hesham Elbisomy, Hend Adel Gawad Shakshouk, Mohamed Fouad Hamed, Mai Mohamed Ebidy, Mostafa Abdelkader, Mohamed Karkeet, Hayam Ahmed, Israa Adel, Mohammad Elsayed Omar, Mohamed Ibrahim, Omar Ghoneim, Omar Hesham, Shimaa Gamal, Karim Hilal, Omar Arafa, Sawsan Adel Awad, Menatalla Salem, Fawzia Abdellatif Elsherif, Nourhan Elsabbagh, Moustafa R. Aboelsoud, Ahmed Hossam Eldin Fouad Rida, Amr Hossameldin, Ethar Hany, Yomna Hosny Asar, Nourhan Anwar, Mohamed Gadelkarim, Samar Abdelhady, Eman Mohamed Morshedy, Reham Saad, Nourhan Soliman, Mahmoud Salama, Eslam Ezzat, Arwa Mohamed, Arwa Ibrahim, Alaa Fergany, Sara Mohammed, Aya Reda, Yomna Allam, Hanan Adel Saad, Afnan Abdelfatah, Aya Mohamed Fathy, Ahmed El-Sehily, Esraa Abdalmageed Kasem, Ahmed Tarek Abdelbaset Hassan, Ahmed Rabeih Mohammed, Abdalla Gamal Saad, Yasmin Elfouly, Nesma Elfouly, Arij Ibrahim, Amr Hassaan, Mohammed Mustafa Mohammed, Ghada Elhoseny, Mohamed Magdy, Esraa Abd Elkhalek, Yehia Zakaria, Tarek Ezzat, Ali Abo El Dahab, Mohamed Kelany, Sara Arafa, Osama Mokhtar Mohamed Hassan, Nermin Mohamed Badwi, Ahmad Saber Sleem, Hussien Ahmed, Kholoud Abdelbadeai, Mohamed Abozed Abdullah, Muhammad Amsyar Auni Lokman, Suraya Bahar, Anan Rady Abdelazeam, Abdelrahman Adelshone, Muhammad Bin Hasnan, Athirah Zulkifli, Siti Nur Alia Kamarulzamil, Abdelaziz Elhendawy, Aliang Latif, Ahmad Bin Adnan, Shahadatul Shaharuddin, Aminah Hanum Haji Abdul Majid, Mahmoud Amreia, Dina Al-Marakby, Mahmoud Salma, Mohamad Jeffrey Bin Ismail, Elissa Rifhan Mohd Basir, Citra Dewi, Mohd Ali, Aya Yehia Ata, Maha Nasr, Asmaa Rezq, Ahmed Sheta, Sherif Tariq, Abd Elkhalek Sallam, Abdelrhman K.Z. Darwish, Sohaila Elmihy, Shady Elhadry, Ahmed Farag, Haidar Hajeh, Abdelaziz Abdelaal, Amro Aglan, Ahmed Zohair, Mahitab Essam, Omar Moussa, Esraa El-Gizawy, Mostafa Samy, Safia Ali, Esraa Elhalawany, Ahmed Ata, Mohamed El Halawany, Mohamed Nashat, Samar Soliman, Alaa Elazab, Mostada Samy, Mohamed A. Abdelaziz, Khaled Ibrahim, Ahmed mohamed Ibrahim, Ammar Gado, Usama Hantour, Esraa Alm Eldeen, Mohamed Reda loaloa, Arwa Abouzaid, Mostafa Ahmed Bahaa Eldin, Eman Hashad, Fathy Sroor, Doaa Gamil, Eman Mahmoud Abdulhakeem, Mahmoud Zakaria, Fawzy Mohamed, Marwan Abubakr, Elsayed Ali, Hesham Magdy, Menna Tallah Ramadan, Mohamed Abdelaty Mohamed, Salma Mansour, Hager Abdul Aziz Amin, Ahmed Rabie Mohamed, Mahmoud Saami, Nada Ahmed Reda Elsayed, Adham Tarek, Sabry Mohy Eldeen Mahmoud, Islam Magdy El Sayed, Amira Reda, Martina Yusuf Shawky, Mohammed Mousa Salem, Shahinaz Alaa El-Din, Noha Abdullah Soliman, Muhammed Talaat, Shahinaz Alaael-Dein, Ahmed Abd Elmoen Elhusseiny, Noha Abdullah, Mohammed Elshaar, Aya AbdelFatah Ibraheem, Hager Abdulaziz, Mohammed Kamal Ismail, Mona Hamdy Madkor, Mohamed Abdelaty, Sara Mahmoud Abdel-Kader, Osama Mohamed Salah, Mahmoud Eldafrawy, Ahmed Zaki Eldeeb, Mostafa Mahmoud Eid, Attia Attia, Khalid Salah El-Dien, Ayman Shwky, Mohamed Adel Badenjki, Abdelrahman Soliman, Samaa Mahmoud Al Attar, Farrag Sayed, Fahd Abdel Sabour, Mohammed G. Azizeldine, Muhammad Shawqi, Abdullah Hashim, Ahmed Aamer, Ahmed Mahmoud Abdelraouf, Mahmoud Abdelshakour, Amal Ibrahim, Basma Mahmoud, Mohamed Ali Mahmoud, Mostafa Qenawy, Ahmed M. Rashed, Ahmed Dahy, Marwa Sayed, Ahmed W. Shamsedine, Bakeer Mohamed, Ahmad Hasan, Mahmoud M. Saad, Khalil Abdul Bassit, Nadia Khalid Abd El-Latif, Nada Elzahed, Ahmed El Kashash, Nada Mohamed Bekhet, Sarah Hafez, Ahmed Gad, Mahmoud Elkhadragy Maher, Ahmed Abd Elsameea, Mohamed Hafez, Ahmad Sabe, Ataa Ahmed, Ahmed Shahine, Khaled Dawood, Shireen Gaafar, Reem Husseiny, Omnia Aboelmagd, Ahmed Soliman, Nourhan Mesbah, Hossam Emadeldin, Amgad Al Meligy, Amira Hassan Bekhet, Doaa Hasan, Khaled Alhady, Ahmad Khaled Sabe, Mahmoud A. Elnajjar, Majed Aboelella, Ward Hamsho, Ihab Hassan, Hala Saad, Galaleldin Abdelazim, Hend Mahmoud, Noha Wael, Ahmedali M. Kandil, Ahmed Magdy, Shimaa Said Elkholy, Badr Eldin Adel, Kareem Dabbour, Saged Elsherbiney, Omar Mattar, Abdulshafi Khaled Abdrabou, Mohammed Yahia Mohamed Aly, Abdelrahman Geuoshy, Ahmedglal Elnagar, Saraibrahim Ahmed, Ibrahem Abdelmotaleb, Amr Ahmed Saleh, Manar Saeed, Shady Mahmoud, Badreldin Adel Tawfik, Samar Adel Ismail, Esraay Zakaria, Mariam O. Gad, Mohamed Salah Elhelbawy, Monica Bassem, Noha Maraie, Nourhan Medhat Elhadary, Nourhan Semeda, Shaza Rabie Mohamed, Hesham Mohammed Bakry, A.A. Essam, Dina Tarek, Khlood Ashour, Alaa Elhadad, Abdulrahman Abdel-Aty, Ibrahim Rakha, Sara Mamdouh Matter, Rasha Abdelhamed, Omar Abdelkader, Ayat Hassaan, Yasmin Soliman, Amna Mohamed, Sara Ghanem, Sara Amr Mohamed Farouk, Eman Mohamed Ibrahim, Esraa El-Taher, Merna Mostafa, Mohamed Fawzy Mahrous Badr, Rofida Elsemelawy, Aya El-Sawy, Ahmad Bakr, Ahmad Abdel Razaq Al Rafati, Sten Saar, Arvo Reinsoo, Nebyou Seyoum, Tewodros Worku, Agazi Fitsum, Matti Tolonen, Ari Leppäniemi, Ville Sallinen, Benoît Parmentier, Matthieu Peycelon, Sabine Irtan, Sabrina Dardenne, Elsa Robert, Betty Maillot, Etienne Courboin, Alexis Pierre Arnaud, Juliette Hascoet, Olivier Abbo, Amir Ait Kaci, Thomas Prudhomme, Quentin Ballouhey, Céline Grosos, Laurent Fourcade, Tolg Cecilia, Colombani Jean-Francois, Francois-Coridon Helene, Xavier Delforge, Elodie Haraux, Bertrand Dousset, Roberto Schiavone, Sebastien Gaujoux, Jean-Baptiste Marret, Aurore Haffreingue, Julien Rod, Mariette Renaux-Petel, Jean-François Lecompte, Jean Bréaud, Pauline Gastaldi, Chouikh Taieb, Raquillet Claire, Echaieb Anis, Nasir Bustangi, Manuel Lopezv, Aurelien Scalabre, Maria Giovanna Grella, Aurora Mariani, Guillaume Podevin, Françoise Schmitt, Erik Hervieux, Aline Broch, Cecile Muller, Dickson Bandoh, Francis Abantanga, Martin Kyereh, Hamza Asumah, Eric Kofi Appiah, Paul Wondoh, Adam Gyedu, Charles Dally, Kwabena Agbedinu, Michael Amoah, Abiboye Yifieyeh, Frank Owusu, Mabel Amoako-Boateng, Makafui Dayie, Richmond Hagan, Sam Debrah, Micheal Ohene-Yeboah, Joe-Nat Clegg-Lampety, Victor Etwire, Jonathan Dakubo, Samuel Essoun, William Bonney, Hope Glover-Addy, Samuel Osei-Nketiah, Joachim Amoako, Niiarmah Adu-Aryee, William Appeadu-Mensah, Antoinette Bediako-Bowan, Florence Dedey, Mattew Ekow, Emmanuel Akatibo, Musah Yakubu, Hope Edem Kofi Kordorwu, Kwasi Asare-Bediako, Enoch Tackie, Kenneth Aaniana, Emmanuel Acquah, Richard Opoku-Agyeman, Anthony Avoka, Kwasi Kusi, Kwame Maison, Frank Enoch Gyamfi, Gandau Naa Barnabas, Saiba Abdul-Latif, Philip Taah Amoako, Anthony Davor, Victor Dassah, Enoch Dagoe, Prince Kwakyeafriyie, Elliot Akoto, Eric Ackom, Ekow Mensah, Ebenezer Takyi Atkins, Christian Lari Coompson, Nikolaos Ivros, Christoforos Ferousis, Vasileios Kalles, Christos Agalianos, Ioannis Kyriazanos, Christos Barkolias, Angelos Tselos, Georgios Tzikos, Evangelos Voulgaris, Dimitrios Lytras, Athanasia Bamicha, Kyriakos Psarianos, Anastasios Stefanopoulos, Ioannis Patoulias, Dimitrios Sfougaris, Ioannis Valioulis, Dimitrios Balalis, Dimitrios Korkolis, Dimitrios K. Manatakis, Georgios Kyrou, Georgios Karabelias, Iason-Antonios Papaskarlatos, Kolonia Konstantina, Nikolaos Zampitis, Stylianos Germanos, Aspasia Papailia, Theodosios Theodosopoulos, Georgios Gkiokas, Magdalini Mitroudi, Christina Panteli, Thomas Feidantsis, Konstantinos Farmakis, Dimitrios Kyziridis, Orestis Ioannidis, Styliani Parpoudi, Georgios Gemenetzis, Stavros Parasyris, Christos Anthoulakis, Nikolaos Nikoloudis, Michail Margaritis, Maria-Lorena Aguilera-Arevalo, Otto Coyoy-Gaitan, Javier Rosales, Luis Tale, Rafael Soley, Emmanuel Barrios, Servio Tulio Torres Rodriguez, Carlos Paz Galvez, Danilo Herrera Cruz, Guillermo Sanchez Rosenberg, Alejandro Matheu, David Monterroso Cohen, Marie Paul, Angeline Charles, Justin Chak Yiu Lam, Man Hon Andrew Yeung, Chi Ying Jacquelyn Fok, Ka Hin Gabriel Li, Anthony Chuk-Him Lai, Yuk Hong Eric Cheung, Hong Yee Wong, Ka Wai Leung, Tien Seng Bryan Lee, Wai Him Lam, Weihei Dao, Stephanie Hiu-wai Kwok, Tsz-Yan Katie Chan, Yung Kok Ng, T.W.C. Mak, Chi Chung Foo, James Yang, Ankur Bhatnagar, Vijaid Upadhyaya, Uday Muddebihal, Wasim Dar, K.C. Janardha, Neerav Aruldas, Fidelis Jacklyn Adella, Anthonius Santoso Rulie, Ferdy Iskandar, Jonny Setiawan, Cicilia Viany Evajelista, Hani Natalie, Arlindawati Suyadi, Rudy Gunawan, Herlin Karismaningtyas, Lusi Padma Sulistianingsih Mata, Ferry Fitriya Ayu Andika, Afifatun Hasanah, T. Ariani Widiastini, Nurlaila Ayu Purwaningsih, Annisa Dewi Fitriana Mukin, Dina Faizatur Rahmah, Hazmi Dwinanda Nurqistan, Hasbi Maulana Arsyad, Novia Adhitama, Wifanto Saditya Jeo, Nathania Sutandi, Audrey Clarissa, Phebe Anggita Gultom, Matthew Billy, Andreass Haloho, Nadya Johanna, Felix Lee, Radin Mohd Nurrahman Radin Dorani, Martha Glynn, Mohammad Alherz, Wennweoi Goh, Haaris A. Shiwani, Lorraine Sproule, Kevin C. Conlon, Miklosh Bala, Asaf Kedar, Luca Turati, Federica Bianco, Francesca Steccanella, Gaetano Gallo, Mario Trompetto, Giuseppe Clerico, Matteo Papandrea, Giuseppe Sammarco, Rosario Sacco, Angelo Benevento, Luisa Giavarini, Mariano Cesare Giglio, Luigi Bucci, Gianluca Pagano, Viviana Sollazzo, Roberto Peltrini, Gaetano Luglio, Arianna Birindelli, Salomone Di Saverio, Gregorio Tugnoli, Miguel Angel Paludi, Pietro Mingrone, Domenica Pata, Francesco Selvaggi, Lucio Selvaggi, Gianluca Pellino, Natale Di Martino, Gianluca Curletti, Paolo Aonzo, Raffaele Galleano, Stefano Berti, Elisa Francone, Silvia Boni, Laura Lorenzon, Annalisa lo Conte, Genoveffa Balducci, Gianmaria Confalonieri, Giovanni Pesenti, Laura Gavagna, Giorgio Vasquez, Simone Targa, Savino Occhionorelli, Dario Andreotti, Giacomo Pata, Andrea Armellini, Deborah Chiesa, Fabrizio Aquilino, Nicola Chetta, Arcangelo Picciariello, Mohamed Abdelkhalek, Andrea Belli, Silvia De Franciscis, Annamaria Bigaran, Alessandro Favero, Stefano M.M. Basso, Paola Salusso, Martina Perino, Sylvie Mochet, Diego Sasia, Francesco Riente, Marco Migliore, David Merlini, Silvia Basilicò, Carlo Corbellini, Veronica Lazzari, Yuri Macchitella, Luigi Bonavina, Daniele Angelieri, Diego Coletta, Federica Falaschi, Marco Catani, Claudia Reali, Mariastella Malavenda, Celeste Del Basso, Sergio Ribaldi, Massimo Coletti, Andrea Natili, Norma Depalma, Immacolata Iannone, Angelo Antoniozzi, Davide Rossi, Daniele Gui, Gerardo Perrotta, Matteo Ripa, Francesco Ruben Giardino, Maurizio Foco, Erika Vicario, Federico Coccolini, Gabriela Elisa Nita, Nicoletta Leone, Andrea Bondurri, Anna Maffioli, Andrea Simioni, Davide De Boni, Sandro Pasquali, Elena Goldin, Elena Vendramin, Eleonora Ciccioli, Umberto Tedeschi, Luca Bortolasi, Paola Violi, Tommaso Campagnaro, Simone Conci, Giovanni Lazzari, Calogero Iacono, Alfredo Gulielmi, Serena Manfreda, Anna Rinaldi, Maria Novella Ringressi, Beatrice Brunoni, Giuseppe Salamone, Mirko Mangiapane, Paolino De Marco, Antonella La Brocca, Roberta Tutino, Vania Silvestri, Leo Licari, Tommaso Fontana, Nicolò Falco, Gianfranco Cocorullo, Mostafa Shalaby, Pierpaolo Sileri, Claudio Arcudi, Isam Bsisu, Khaled Aljboor, Lana Abusalem, Aseel Alnusairat, Ahmad Qaissieh, Emad Al-Dakka, Ali Ababneh, Oday Halhouli, Taha Yusufali, Hussein Mohammed, Justus Lando, Robert Parker, Wairimu Ndegwa, Mantas Jokubauskas, Jolanta Gribauskaite, Justas Kuliavas, Audrius Dulskas, Narimantas E. Samalavicius, Kristijonas Jasaitis, Audrius Parseliunas, Viktorija Nevieraite, Margarita Montrimaite, Evelina Slapelyte, Edvinas Dainius, Romualdas Riauka, Zilvinas Dambrauskas, Andrejus Subocius, Linas Venclauskas, Antanas Gulbinas, Saulius Bradulskis, Simona Kasputyte, Deimante Mikuckyte, Mindaugas Kiudelis, Tomas Jankus, Steponas Petrikenas, Matas Pažuskis, Zigmantas Urniežius, Mantas Vilčinskas, Vincas Jonas Banaitis, Vytautas Gaižauskas, Edvard Grisin, Povilas Mazrimas, Rokas Rackauskas, Mantas Drungilas, Karolis Lagunavicius, Vytautas Lipnickas, Dovilè Majauskyté, Valdemaras Jotautas, Tomas Abaliksta, Laimonas Uščinas, Gintaras Simutis, Adomas Ladukas, Donatas Danys, Erikas Laugzemys, Saulius Mikalauskas, Elena Zdanyte Sruogiene, Petras Višinskas, Reda Žilinskienė, Deividas Dragatas, Andrius Burmistrovas, Zygimantas Tverskis, Arturas Vaicius, Ruta Mazelyte, Antanas Zadoroznas, Nerijus Kaselis, Greta Žiubrytė, Finaritra Casimir Fleur Prudence Rahantasoa, Luc Hervé Samison, Fanjandrainy Rasoaherinomenjanahary, Todisoa Emmanuella Christina Tolotra, Cornelius Mukuzunga, Chimwemwe Kwatiwani, Nelson Msiska, Feng Yih Chai, Siti Mohd Desa Asilah, Khuzaimah Zahid Syibrah, Pui Xin Chin, Afizah Salleh, Nur Zulaika Riswan, April Camilla Roslani, Hoong-Yin Chong, Nora Abdul Aziz, Keat-Seong Poh, Chu-Ann Chai, Sandip Kumar, Mustafa Mohammed Taher, Nik Ritza Kosai, Dayang Nita Abdul Aziz, Reynu Rajan, Rokayah Julaihi, Durvesh Lacthman Jethwani, Muhammad Taqiyuddin Yahaya, Nik Azim Nik Abdullah, Susan Wndy Mathew, Kuet Jun Chung, Milaksh Kumar Nirumal, R. Goh Ern Tze, Syed Abdul Wahhab Eusoffee Wan Ali, Yiing Yee Gan, Jesse Ron Swire Ting, Samuel S.Y. Sii, Kean Leong Koay, Yi Koon Tan, Alvin Ee Zhiun Cheah, Chui Yee Wong, Tuan Nur'Azmah Tuan Mat, Crystal Yern Nee Chow, Prisca A.L. Har, Yishan Der, Fitjerald Henry, Xinwei Low, Ya Theng Neo, Hian Ee Heng, Shu Ning Kong, Cheewei Gan, Yi Ting Mok, Yee Wen Tan, Kandasami Palayan, Mahadevan Deva Tata, Yih Jeng Cheong, Kuhaendran Gunaseelan, Wan Nurul 'Ain Wan Mohd Nasir, Pigeneswaren Yoganathan, Eu Xian Lee, Jian Er Saw, Li Jing Yeang, Pei Ying Koh, Shyang Yee Lim, Shuang Yi Teo, Nicole Grech, Daniela Magri, Kristina Cassar, Christine Mizzi, Malcolm Falzon, Nihaal Shaikh, Ruth Scicluna, Stefan Zammit, Sean Mizzi, Svetlana Doris Brincat, Thelma Tembo, Vu Thanh Hien Le, Tara Grima, Keith Sammut, Kurt Carabott, Ciskje Zarb, Andre Navarro, Thea Dimech, Georgette Marie Camilleri, Isaac Bertuello, Jeffrey Dalli, Karl Bonavia, Samantha Corro-Diaz, Marisol Manriquez-Reyes, Amina Abdelhamid, Abdelmalek Hrora, Sarah Benammi, Houda Bachri, Meryem Abbouch, Khaoula Boukhal, Redouane Mammar Bennai, Abdelkader Belkouchi, Mohamed Sobhi Jabal, Chaymae Benyaiche, Maarten Vermaas, Lucia Duinhouwer, Javier Pastora, Greta Wood, Maria Soledad Merlo, Akinlabi Ajao, Omobolaji Ayandipo, Taiwo Lawal, Abdussemiu Abdurrazzaaq, Muslimat Alada, Abdulrasheed Nasir, James Adeniran, Olufemi Habeeb, Ademola Popoola, Ademola Adeyeye, Ademola Adebanjo, Opeoluwa Adesanya, Adewale Adeniyi, Henry Mendel, Bashir Bello, Umar Muktar, Adedapo Osinowo, Thomas Olagboyega Olajide, Oyindamola Oshati, George Ihediwa, Babajide Adenekan, Victor Nwinee, Felix Alakaloko, Adesoji Ademuyiwa, Olumide Elebute, Abdulrazzaq Lawal, Chris Bode, Mojolaoluwa Olugbemi, Alaba Adesina, Olubukola Faturoti, Oluwatomi Odutola, Oluwaseyi Adebola, Clement Onuoha, Ogechukwu Taiwo, Omolara Williams, Fatai Balogun, Olalekan Ajai, Mobolaji Oludara, Iloba Njokanma, Roland Osuoji, Stephen Kache, Jonathan Ajah, Jerry Makama, Ahmed Adamu, Suleiman Baba, Mohammad Aliyu, Shamsudeen Aliyu, Yahaya Ukwenya, Halima Aliyu, Tunde Sholadoye, Muhammad Daniyan, Oluseyi Ogunsua, Lofty-John Anyanwu, Abdurrahaman Sheshe, Aminu Mohammad, Samson Olori, Philip Mshelbwala, Babatunde Odeyemi, Garba Samson, Oyediran Kehinde Timothy, Sani Ali Samuel, Anthony Ajiboye, Isaac Amole, Olajide Abiola, Akin Olaolorun, Torhild Veen, Arezo Kanani, Kristian Styles, Ragnar Herikstad, Johannes Wiik Larsen, Jon Arne Søreide, Elisabeth Jensen, Mads Gran, Eirik Kjus Aahlin, Tina Gaarder, Peter Wiel Monrad-Hansen, Pål Aksel Næss, Giedrius Lauzikas, Joachim Wiborg, Silje Holte, Knut Magne Augestad, Gurpreet Singh Banipal, Michela Monteleone, Thomas Tetens Moe, Johannes Kurt Schultz, Taher Al-Taher, Ayah Hamdan, Ayman Salman, Rana Saadeh, Aseel Musleh, Dana Jaradat, Soha Abushamleh, Sakhaa Hanoun, Amjad Abu Qumbos, Aseel Hamarshi, Ayman, Taher, Israa Qawasmi, Khalid Qurie, Marwa Altarayra, Mohammad Ghannam, Alaa Shaheen, Azher Herebat, Aram Abdelhaq, Ahmad Shalabi, Maram Abu-Toyour, Fatema Asi, Ala Shamasneh, Anwar Atiyeh, Mousa Mustafa, Rula Zaa'treh, Majd Dabboor, Enas Alaloul, Heba Baraka, Jehad Meqbil, Alaa Al-Buhaisi, Mohamedraed Elshami, Samah Afana, Sahar Jaber, Said Alyacoubi, Yousef Abuowda, Tasneem Idress, Eman Abuqwaider, Sara Al-Saqqa, Alaa Bowabsak, Alaa El Jamassi, Doaa Hasanain, Hadeel Al-Farram, Maram Salah, Aya Firwana, Marwa Hamdan, Israa Awad, Ahmad Ashour, Fayez Elian Al Barrawi, Ahmed Al-Khatib, Maha Al-Faqawi, Mohamed Fares, Amjad Elmashala, Mohammad Adawi, Ihdaa Adawi, Reem Khreishi, Rose Khreishi, Ahed Ghaben, Najwa Nadeem, Muhammad Saqlain, Jibran Abbasy, Abdul Rehman Alvi, Noman Shahzad, Kamran Faisal Bhopal, Zainab Iftikhar, Muhammad Talha Butt, Syed Asaat Ul Razi, Asdaq Ahmed, Ali Khan Niazi, Ibrahim Raza, Fatima Baluch, Ahmed Raza, Ahmad Bani-Sadar, Muhammad Adil, Awais Raza, Mahnoor Javaid, Muhammad Waqar, Maryam Ali Khan, Mohammad Mohsin Arshad, Mohammadasim Amjad, Gustavo Miguel Machain Vega, Jorge Torres Cardozo, Marcelo O´Higgins Roche, Gustavo Rodolfo Pertersen Servin, Helmut Alfredo Segovia Lohse, Larissa Ines Páez Lopez, Ramón Augusto Melo Cardozo, Fernando Espinoza, Angel David Pérez Rojas, Diana Sanchez, Camila Sanchez Samaniego, Shalon Guevara Torres, Alexander Canta Calua, Cesar Razuri, Nadia Ortiz, Xianelle Rodriguez, Nahilia Carrasco, Fridiz Saravia, Hector Shibao Miyasato, María Valcarcel-Saldaña, Ysabel Esthefany Alejos Bermúdez, Juan Carpio, Walter Ruiz Panez, Pedro Angel Toribio Orbegozo, Carolina Guzmán Dueñas, Kevin Turpo Espinoza, Ana Maria Sandoval Barrantes, Jorge Armando Chungui Bravo, Lorena Fuentes-Rivera, Carmen Fernández, Bárbara Málaga, Joselyn Ye, Ricardo Velasquez, Jannin Salcedo, Ana Lucia Contreras-Vergara, Angelica Genoveva Vergara Mejia, Maria Soledad Gonzales Montejo, Marilia Del Carmen Escalante Salas, Willy Alcca Ticona, Marvin Vargas, George Christian Manrique Sila, Robinson Mas, Arazzelly del Pilar Paucar, Armando José Román Velásquez, Alina Robledo-Rabanal, Ludwing Alexander Zeta Solis, Kenny Turpo Espinoza, José Luis Hamasaki Hamaguchi, Erick Samuel Florez Farfan, Linda Alvi Madrid Barrientos, Juan Jaime Herrera Matta, John Jemuel V. Mora, Menold Archee P. Redota, Manuel Francisco Roxas, Maria Jesusa B. Maño, Marie Dione Parreno-Sacdalan, Christel Leanne Almanon, Maciej Walędziak, Rafał Roszkowski, Michał Janik, Anna Lasek, Dorota Radkowiak, Mateusz Rubinkiewicz, Cristina Fernandes, Jose Costa-Maia, Renato Melo, Liviu Muntean, Aurel Sandu Mironescu, Lucian Corneliu Vida, Mariuca Popa, Hogea Mircea, Mihaela Vartic, Bogdan Diaconescu, Matei Razvan Bratu, Ionut Negoi, Mircea Beuran, Cezar Ciubotaru, Norbert Uzabumwana, Dieudonne Duhoranenayo, Elio Jovine, Nicola Zanini, Giovanni Landolfo, Murad Aljiffry, Faisal Idris, Mohammed Saleh A. Alghamdi, Ashraf Maghrabi, Abdulmalik Altaf, Aroub Alkaaki, Ahmad Khoja, Abrar Nawawi, Sondos Turkustani, Eyad Khalifah, Adel Albiety, Sarah Sahel, Reham Alshareef, Mohammed Najjar, Ahmed Alzahrani, Ahmed Alghamdi, Wedyan Alhazmi, Ghiath Al Saied, Mohammed Alamoudi, Muhammed Masood Riaz, Mazen Hassanain, Basmah Alhassan, Abdullah Altamimi, Reem Alyahya, Norah Al Subaie, Fatema Al Bastawis, Afnan Altamimi, Thamer Nouh, Roaa Khan, Milan Radojkovic, Ljiljana Jeremic, Milica Nestorovic, Jia Hao Law, Keith Say Kwang Tan, Ryan Choon Kiat Tan, Joel Kin Tan, Lau Wen Liang Joel, Xue Wei Chan, Faith Qi Hui Leong, Choon Seng Chong, Sharon Koh, Kai Yin Lee, Kuok Chung Lee, Kent Pluke, Britta Dedekind, Puyearashid Nashidengo, Mark Ian Hampton, Johanna Joosten, Sanju Sobnach, Liana Roodt, Anthony Sander, James Pape, Niveshni Maistry, Phumudzo Ndwambi, Kamau Kinandu, Myint Tun, Frederick Du Toit, Quinn Ellison, D.C. Grobler, Sule Burger, Lawrence Bongani Khulu, Rachel Moore, Vicky Jennings, Astrid Leusink, Nazmie Kariem, Juan Gouws, Kathryn Chu, Heather Bougard, Fazlin Noor, Angela Dell, Stephanie Van Straten, Arvin Khamajeet, Serge Kapenda Tshisola, Kalangu Kabongo, Victor Kong, Yoshan Moodley, Frank Anderson, Thandinkosi Madiba, Flip du Plooy, Leila Hartford, Gareth Chilton, Parveen Karjiker, Matlou Ernest Mabitsela, Sibongile Ruth Ndlovu, Maria Badicel, Robert Jaich, Jaime Ruiz-Tovar, Luis Garcia-Florez, Jorge L. Otero-Díez, Virginia Ramos Pérez, Nuria Aguado Suárez, Javier Minguez García, Sara Corral Moreno, Maria Vicenta Collado, Virginia Jiménez Carneros, Javier García Septiem, Mariana Gonzalez, Antonio Picardo, Enrique Esteban, Esther Ferrero, Eloy Espin-Basany, Ruth Blanco-Colino, Valeria Andriola, Lorena Solar García, Elisa Contreras, Carmen García Bernardo, Janet Pagnozzi, Sandra Sanz, Alberto Miyar de León, Asnel Dorismé, Joseluis Rodicio, Aida Suarez, Jessica Stuva, Tamara Diaz Vico, Laura Fernandez-Vega, Carla Soldevila-Verdeguer, Fatima Sena-Ruiz, Natalia Pujol-Cano, Paula Diaz-Jover, José Maria Garcia-Perez, Juan Jose Segura-Sampedro, Cristina Pineño-Flores, David Ambrona-Zafra, Andrea Craus-Miguel, Patricia Jimenez-Morillas, Angela Mazzella, A.B. Jayathilake, S.P.B. Thalgaspitiya, L.S. Wijayarathna, P.M.S.N. Wimalge, Hakeem Ayomi Sanni, Ogheneochuko Okenabirhie, Anmar Homeida, Abobaker Younis, Omer Abdelbagi Omer, Mustafa Abdulaziz, Ali Mussad, Ali Adam, Ida Björklund, Sandra Ahlqvist, Anders Thorell, Fredrik Wogensen, Arestis Sokratous, Michaela Breistrand, Hildur Thorarinsdottir, Johanna Sigurdadottir, Maziar Nikberg, Abbas Chabok, Maria Hjertberg, Peter Elbe, Deborah Saraste, Wiktor Rutkowski, Louise Forlin, Karoliina Niska, Malin Sund, Dennis Oswald, Georgios Peros, Rafael Bluelle, Katharina Reinisch, Daniel Frey, Adrian Palma, Dimitri Aristotle Raptis, Lucius Zumbühl, Markus Zuber, Roger Schmid, Gabriela Werder, Antonio Nocito, Alexandra Gerosa, Silke Mahanty, Lukas Werner Widmer, Julia Müller, Alissa Gübeli, Grzegorz Zuk, Osman Bilgin Gulcicek, Talar Vartanoglu, Emin Kose, Servet Rustu Karahan, Mehmet Can Aydin, Nuri Alper Sahbaz, Ilkay Halicioglu, Halil Alis, Ipek Sapci, Can Adıyaman, Ahmet Murat Pektaş, Turgut Bora Cengiz, Ilkan Tansoker, Vedatcan Işler, Muazzez Cevik, Deniz Mutlu, Volkan Ozben, Berk Baris Ozmen, Sefa Bayram, Sinem Yolcu, Berna Buse Kobal, Ömer Faruk Toto, Haluk Cem Çakaloğlu, Kagan Karabulut, Vahit Mutlu, Bahar Busra Ozkan, Saban Celik, Anil Semiz, Selim Bodur, Enisburak Gül, Busra Murutoglu, Reyyan Yildirim, Bahadir Emre Baki, Ekin Arslan, Mehmet Ulusahin, Ali Guner, Nathan Walker, Nikhita Shrimanker, Simon Cole, Ryan Breslin, Ravi Srinivasan, Mohamed Elshaer, Kristina Hunter, Ahmed Al-Bahrani, Ignatius Liew, Nora Grace Mairs, Alistair Rocke, Lachlan Dick, Mobeen Qureshi, Debkumar Chowdhury, Naomi Wright, Clare Skerritt, Dorothy Kufeji, Adrienne Ho, Tharindra Dissanayake, Athula Tennakoon, Wadah Ali, Shujing Jane Lim, Charlene Tan, Stephen O'Neill, Catrin Jones, Stephen Knight, Dima Nassif, Abhishek Sharma, Oliver Warren, Rebecca White, Aia Mehdi, Nathan Post, Eliana Kalakouti, Enkhbat Dashnyam, Frederick Stourton, Ioannis Mykoniatis, Chelise Currow, Francisca Wong, Ashish Gupta, Veeranna Shatkar, Joshua Luck, Suraj Kadiwar, Alexander Smedley, Rebecca Wakefield, Philip Herrod, James Blackwell, Jonathan Lund, Fraser Cohen, Ashwath Bandi, Stefano Giuliani, Giles Bond-Smith, Theodore Pezas, Neda Farhangmehr, Tomas Urbonas, Miklos Perenyei, Philip Ireland, Natalie Blencowe, Kirk Bowling, David Bunting, Lydia Longstaff, Kenneth Keogh, Hyunjin Jeon, Muhammad Rafaih Iqbal, Shivun Khosla, Anna Jeffery, James Perera, Ahmad Aboelkassem Ibrahem, Tariq Alhammali, Yahya Salama, Shaun Oram, Thomas Kidd, Fraser Cullen, Christopher Owen, Michael Wilson, Seehui Chiu, Hannah Sarafilovic, Jennifer Ploski, Elizabeth Evans, Athar Abbas, Sylvia Kamya, Norzawani Ishak, Carly Bisset, Cedar Andress, Ye Ru Chin, Priya Patel, David Evans, Aidan Haslegrave, Adam Boggon, Kirsten Laurie, Katie Connor, Thomas Mann, Anahita Mansuri, Rachel Davies, Ewen Griffiths, Aized Raza Shahbaz, Calvin Eng, Farhat Din, Ariadne L'Heveder, Esther H.G. Park, Ramanish Ravishankar, Kirsten McIntosh, Jih Dar Yau, Luke Chan, Susan McGarvie, Lingshan Tang, Hui Lim, Suhhuey Yap, Jay Park, Zhan Herr Ng, Shahrukh Mirza, Yun Lin Ang, Luke Walls, Chloe Roy, Simon Paterson-Brown, Julian Camilleri-Brennan, Kenneth Mclean, Michelle S. D'Souza, Savva Pronin, David Ewart Henshall, Eunice Zuling Ter, Dina Fouad, Ashish Minocha, William English, Catrin Morgan, Dominic Townsend, Laura Maciejec, Shareef Mahdi, Onyinye Akpenyi, Elisabeth Hall, Hanaan Caydiid, Zakaria Rob, Tom Abbott, Hew D. Torrance, Robin Johnston, Mohammed Akil Gani, Gianpiero Gravante, Shivanchan Rajmohan, Kiran Majid, Shiva Dindyal, Christopher Smith, Madanmohan Palliyil, Sanjay Patel, Luke Nicholson, Neil Harvey, Katie Baillie, Sam Shillito, Suzanne Kershaw, Rebecca Bamford, Peter Orton, Elke Reunis, Robert Tyler, Wai Cheong Soon, Guled M. Jama, Dharminder Dhillon, Khyati Patel, Shayanthan Nanthakumaran, Rachel Heard, Kar Yan Chen, Behrad Barmayehvar, Uttaran Datta, Sivesh K. Kamarajah, Sharad Karandikar, Sobhana Iftekhar Tani, Eimear Monaghan, Philippa Donnelly, Michael Walker, Jehangirshaw Parakh, Sarah Blacker, Anil Kaul, Arjun Paramasivan, Sameh Farag, Ashrafun Nessa, Salwa Awadallah, Jieqi Lim, James Chean Khun Ng, Ravi P. Kiran, Alice Murray, Eric Etchill, Mohini Dasari, Juan Puyana, Nadeem Haddad, Martin Zielinski, Asad Choudhry, Celeste Caliman, Mieshia Beamon, Therese Duane, Mamta Swaroop, Jonathan Myers, Rebecca Deal, Erik Schadde, Mark Hemmila, Lena Napolitano, Kathleen To, Alex Makupe, Joseph Musowoya, Niels Van Der Naald, Dayson Kumwenda, Alex Reece-Smith, Kars Otten, Anna Verbeek, Marloes Prins, Alibeth Andres Baquero Suarez, Ruben Balmaceda, Chelsea Deane, Emilio Dijan, Mahmoud Elfiky, Laura Koskenvuo, Aurore Thollot, Bernard Limoges, Carmen Capito, Challine Alexandre, Henri Kotobi, Julien Leroux, Kalitha Pinnagoda, Nicolas Henric, Olivier Azzis, Olivier Rosello, Poddevin Francois, Sara Etienne, Philippe Buisson, Sophian Hmila, Joe-Nat Clegg-Lamptey, Osman Imoro, Owusu Emmanuel Abem, Dimitrios Papageorgiou, Vasiliki Soulou, Sabrina Asturias, Lenin Peña, Donal B. O’Connor, Alberto Realis Luc, Alfio Alessandro Russo, Andrea Ruzzenente, Antonio Taddei, Camilla Cona, Corrado Bottini, Giovanni Pascale, Giuseppe Rotunno, Leonardo Solaini, Marco Maria Pascale, Margherita Notarnicola, Mario Corbellino, Michele Sacco, Paolo Ubiali, Roberto Cautiero, Tommaso Bocchetti, Elena Muzio, Vania Guglielmo, Eugenio Morandi, Patrizio Mao, Emilia De Luca, Farah Mahmoud Ali, Justas Žilinskas, Kestutis Strupas, Paulius Kondrotas, Robertas Baltrunas, Juozas Kutkevicius, Povilas Ignatavicius, Choy Ling Tan, Jia Yng Siaw, Sir Young Yam, Ling Wilson, Mohamed Rezal Abdul Aziz, John Bondin, Carmina Diaz Zorrilla, Anass Majbar, Danjuma Sale, Lawal Abdullahi, Olabisi Osagie, Omolara Faboya, Adedeji Fatuga, Agboola Taiwo, Emeka Nwabuoku, Marte Bliksøen, Zain Ali Khan, Jazmin Coronel, Cesar Miranda, Idelso Vasquez, Luis M. Helguero-Santin, Jennifer Rickard, Adesina Adedeji, Saleh Alqahtani, Max Rath, Michael Van Niekerk, Modise Zacharia Koto, Roel Matos-Puig, Leif Israelsson, Tobias Schuetz, Mahmut Arif Yuksek, Meric Mericliler, Mehmet Uluşahin, Bernhard Wolf, Cameron Fairfield, Guo Liang Yong, Katharine Whitehurst, Natalie Redgrave, Caroluce K. Musyoka, James Olivier, Kathryn Lee, Michael Cox, Muhamed M.H. Farhan-Alanie, Rory Callan, Chali Chibuye, Tebian Hassanein Ahmed Ali, Syrine Rekhis, Muna Rommaneh, Zi Hao Sam, Thays Brunelli Pugliesi, Gabriel Pardo, and Ruth Blanco
Subjects: abdominal surgery, cost-effectiveness analysis, global surgery, high fraction of inspired oxygen, low-and middle-income countries, surgical site infection, Anesthesiology, RD78.3-87.3
Abstract: Background: This study assessed the potential cost-effectiveness of high (80–100%) vs low (21–35%) fraction of inspired oxygen (FiO2) at preventing surgical site infections (SSIs) after abdominal surgery in Nigeria, India, and South Africa. Methods: Decision-analytic models were constructed using best available evidence sourced from unbundled data of an ongoing pilot trial assessing the effectiveness of high FiO2, published literature, and a cost survey in Nigeria, India, and South Africa. Effectiveness was measured as percentage of SSIs at 30 days after surgery, a healthcare perspective was adopted, and costs were reported in US dollars ($). Results: High FiO2 may be cost-effective (cheaper and effective). In Nigeria, the average cost for high FiO2 was $216 compared with $222 for low FiO2 leading to a −$6 (95% confidence interval [CI]: −$13 to −$1) difference in costs. In India, the average cost for high FiO2 was $184 compared with $195 for low FiO2 leading to a −$11 (95% CI: −$15 to −$6) difference in costs. In South Africa, the average cost for high FiO2 was $1164 compared with $1257 for low FiO2 leading to a −$93 (95% CI: −$132 to −$65) difference in costs. The high FiO2 arm had few SSIs, 7.33% compared with 8.38% for low FiO2, leading to a −1.05 (95% CI: −1.14 to −0.90) percentage point reduction in SSIs. Conclusion: High FiO2 could be cost-effective at preventing SSIs in the three countries but further data from large clinical trials are required to confirm this.
Published: 2023
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50. Evaluating Recommender System Algorithms for Generating Local Music Playlists

Author: Akimchuk, Daniel, Clerico, Timothy, and Turnbull, Douglas
Subjects: Computer Science - Information Retrieval, Computer Science - Machine Learning, Statistics - Machine Learning
Abstract: We explore the task of local music recommendation: provide listeners with personalized playlists of relevant tracks by artists who play most of their live events within a small geographic area. Most local artists tend to be obscure, long-tail artists and generally have little or no available user preference data associated with them. This creates a cold-start problem for collaborative filtering-based recommendation algorithms that depend on large amounts of such information to make accurate recommendations. In this paper, we compare the performance of three standard recommender system algorithms (Item-Item Neighborhood (IIN), Alternating Least Squares for Implicit Feedback (ALS), and Bayesian Personalized Ranking (BPR)) on the task of local music recommendation using the Million Playlist Dataset. To do this, we modify the standard evaluation procedure such that the algorithms only rank tracks by local artists for each of the eight different cities. Despite the fact that techniques based on matrix factorization (ALS, BPR) typically perform best on large recommendation tasks, we find that the neighborhood-based approach (IIN) performs best for long-tail local music recommendation.
Published: 2019

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