Author: "Cauteruccio A" / Search Limiters: Available in Library Collection - Searchworks@Jio Institute Digital Library Search Results

377 results on '"Cauteruccio A"'

1. Characterizing User Archetypes and Discussions on Scored.co

Author: Failla, Andrea, Citraro, Salvatore, Rossetti, Giulio, and Cauteruccio, Francesco
Subjects: Computer Science - Social and Information Networks, Computer Science - Artificial Intelligence, Computer Science - Computation and Language
Abstract: In recent years, the proliferation of social platforms has drastically transformed the way individuals interact, organize, and share information. In this scenario, we experience an unprecedented increase in the scale and complexity of interactions and, at the same time, little to no research about some fringe social platforms. In this paper, we present a multi-dimensional framework for characterizing nodes and hyperedges in social hypernetworks, with a focus on the understudied alt-right platform Scored.co. Our approach integrates the possibility of studying higher-order interactions, thanks to the hypernetwork representation, and various node features such as user activity, sentiment, and toxicity, with the aim to define distinct user archetypes and understand their roles within the network. Utilizing a comprehensive dataset from Scored.co, we analyze the dynamics of these archetypes over time and explore their interactions and influence within the community. The framework's versatility allows for detailed analysis of both individual user behaviors and broader social structures. Our findings highlight the importance of higher-order interactions in understanding social dynamics, offering new insights into the roles and behaviors that emerge in complex online environments.
Published: 2024

2. Automatic Music Playlist Generation via Simulation-based Reinforcement Learning

Author: Tomasi, Federico, Cauteruccio, Joseph, Kanoria, Surya, Ciosek, Kamil, Rinaldi, Matteo, and Dai, Zhenwen
Subjects: Statistics - Machine Learning, Computer Science - Machine Learning
Abstract: Personalization of playlists is a common feature in music streaming services, but conventional techniques, such as collaborative filtering, rely on explicit assumptions regarding content quality to learn how to make recommendations. Such assumptions often result in misalignment between offline model objectives and online user satisfaction metrics. In this paper, we present a reinforcement learning framework that solves for such limitations by directly optimizing for user satisfaction metrics via the use of a simulated playlist-generation environment. Using this simulator we develop and train a modified Deep Q-Network, the action head DQN (AH-DQN), in a manner that addresses the challenges imposed by the large state and action space of our RL formulation. The resulting policy is capable of making recommendations from large and dynamic sets of candidate items with the expectation of maximizing consumption metrics. We analyze and evaluate agents offline via simulations that use environment models trained on both public and proprietary streaming datasets. We show how these agents lead to better user-satisfaction metrics compared to baseline methods during online A/B tests. Finally, we demonstrate that performance assessments produced from our simulator are strongly correlated with observed online metric results., Comment: 10 pages. KDD 23
Published: 2023
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3. Extended High Utility Pattern Mining: An Answer Set Programming Based Framework and Applications

Author: Cauteruccio, Francesco and Terracina, Giorgio
Subjects: Computer Science - Artificial Intelligence
Abstract: Detecting sets of relevant patterns from a given dataset is an important challenge in data mining. The relevance of a pattern, also called utility in the literature, is a subjective measure and can be actually assessed from very different points of view. Rule-based languages like Answer Set Programming (ASP) seem well suited for specifying user-provided criteria to assess pattern utility in a form of constraints; moreover, declarativity of ASP allows for a very easy switch between several criteria in order to analyze the dataset from different points of view. In this paper, we make steps toward extending the notion of High Utility Pattern Mining (HUPM); in particular we introduce a new framework that allows for new classes of utility criteria not considered in the previous literature. We also show how recent extensions of ASP with external functions can support a fast and effective encoding and testing of the new framework. To demonstrate the potential of the proposed framework, we exploit it as a building block for the definition of an innovative method for predicting ICU admission for COVID-19 patients. Finally, an extensive experimental activity demonstrates both from a quantitative and a qualitative point of view the effectiveness of the proposed approach. Under consideration in Theory and Practice of Logic Programming (TPLP), Comment: Under consideration in Theory and Practice of Logic Programming (TPLP)
Published: 2023

4. The role of citizen science in assessing the spatiotemporal pattern of rainfall events in urban areas: a case study in the city of Genoa, Italy

Author: N. Loglisci, G. Boni, A. Cauteruccio, F. Faccini, M. Milelli, G. Paliaga, and A. Parodi
Subjects: Environmental technology. Sanitary engineering, TD1-1066, Geography. Anthropology. Recreation, Environmental sciences, GE1-350, Geology, QE1-996.5
Abstract: Climate change in the Mediterranean region is manifesting itself as an increase in average air temperature and a change in the rainfall regime: the value of cumulative annual rainfall generally appears to be constant, but the intensity of annual rainfall maxima, between 1 and 24 h, is increasing, especially in the period between late summer and early autumn. The associated ground effects in urban areas consist of flash floods and pluvial floods, often in very small areas, depending on the physical-geographical layout of the region. In the context of global warming, it is therefore important to have an adequate monitoring network for rain events that are highly concentrated in space and time. This research analyses the meteo-hydrological features of the 27 and 28 August 2023 event that occurred in the city of Genoa, Italy, just 4 d after the record maximum air temperature was recorded: between 19:00 and 02:00 UTC almost 400 mm of rainfall was recorded in the eastern sector of the historic centre of Genoa, with significant ground effects such as flooding episodes and the overflowing of pressurised culverts. Rainfall observations and estimates were made using both official or “authoritative” networks (rain gauges and meteorological radar) and rain gauge networks inspired by citizen science principles. The combined analysis of observations from authoritative and citizen science networks reveals, for the event analysed, a spatial variability of the precipitation field at an hourly and a sub-hourly timescale that cannot be captured by the current spatial density of the authoritative measurement stations (which have one of the highest densities in Italy). Monthly total rainfall and short-duration annual maximum time series recorded by the authoritative rain gauge network of the Genoa area are then analysed. The results show significant variation even at distances of less than 2 km in the average rainfall depth accumulated over sub-hourly duration. Extreme weather monitoring activity is confirmed as one of the most important aspects in terms of flood prevention and protection in urban areas. The integration between authoritative and citizen science networks can prove to be a valid contribution to the monitoring of extreme events.
Published: 2024
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5. Multinomial Naïve Bayes Classifier for Sentiment Analysis of Internet Movie Database

Author: Christine Dewi, Rung-Ching Chen, Henoch Juli Christanto, and Francesco Cauteruccio
Subjects: Sentiment analysis, Naïve Bayes, Bernoulli NB, multinomial NB, TFIDF, sentiment classifications, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95
Abstract: Sentiment analysis (SA), also known as opinion mining, is a natural language processing (NLP) technique used to determine the sentiment or emotional tone behind a piece of text. It involves analyzing the text to identify whether it expresses a positive, negative, or neutral sentiment. SA can be applied to various types of text data such as social media posts, customer reviews, news articles, and more. This experiment is based on the Internet Movie Database (IMDB) dataset, which comprises movie reviews and the positive or negative labels related to them. Our research experiment’s objective is to identify the model with the best accuracy and the most generality. Text preprocessing is the first and most critical phase in an NLP system since it significantly impacts the overall accuracy of the classification algorithms. The experiment implements unsupervised sentiment classification algorithms including Valence Aware Dictionary and sentiment Reasoner (VADER) and TextBlob. We also examine the supervised sentiment classifications methods such as Naïve Bayes (Bernoulli NB and Multinomial NB). The Term Frequency-Inverse Document Frequency (TFIDF) model is used to feature selection and extractions. The combination of Multinomial NB and TFIDF achieves the highest accuracy, 87.63%, for both classification reports based on our experiment result.
Published: 2023
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6. MedNER: A Service-Oriented Framework for Chinese Medical Named-Entity Recognition with Real-World Application

Author: Weisi Chen, Pengxiang Qiu, and Francesco Cauteruccio
Subjects: named-entity recognition, deep learning, hybrid model, text mining, service-oriented architecture, Technology
Abstract: Named-entity recognition (NER) is a crucial task in natural language processing, especially for extracting meaningful information from unstructured text data. In the healthcare domain, accurate NER can significantly enhance patient care by enabling efficient extraction and analysis of clinical information. This paper presents MedNER, a novel service-oriented framework designed specifically for medical NER in Chinese medical texts. MedNER leverages advanced deep learning techniques and domain-specific linguistic resources to achieve good performance in identifying diabetes-related entities such as symptoms, tests, and drugs. The framework integrates seamlessly with real-world healthcare systems, offering scalable and efficient solutions for processing large volumes of clinical data. This paper provides an in-depth discussion on the architecture and implementation of MedNER, featuring the concept of Deep Learning as a Service (DLaaS). A prototype has encapsulated BiLSTM-CRF and BERT-BiLSTM-CRF models into the core service, demonstrating its flexibility, usability, and effectiveness in addressing the unique challenges of Chinese medical text processing.
Published: 2024
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7. A model-agnostic, network theory-based framework for supporting XAI on classifiers

Author: Bonifazi, Gianluca, Cauteruccio, Francesco, Corradini, Enrico, Marchetti, Michele, Terracina, Giorgio, Ursino, Domenico, and Virgili, Luca
Published: 2024
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8. Ischemic wound revascularization by the stromal vascular fraction relies on host-donor hybrid vessels

Author: Vuerich, Roman, Groppa, Elena, Vodret, Simone, Ring, Nadja Annelies Ruth, Stocco, Chiara, Bossi, Fleur, Agostinis, Chiara, Cauteruccio, Matteo, Colliva, Andrea, Ramadan, Mohammad, Simoncello, Francesca, Benvenuti, Federica, Agnelli, Anna, Dore, Franca, Mazzarol, Flavia, Moretti, Massimo, Paulitti, Alice, Palmisano, Silvia, De Manzini, Nicolò, Chiesa, Mattia, Casaburo, Manuel, Raucci, Angela, Lorizio, Daniela, Pompilio, Giulio, Bulla, Roberta, Papa, Giovanni, and Zacchigna, Serena
Published: 2023
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9. Adjustment of 1 min rain gauge time series using co-located drop size distribution and wind speed measurements

Author: A. Cauteruccio, M. Stagnaro, L. G. Lanza, and P.-W. Chan
Subjects: Environmental engineering, TA170-171, Earthwork. Foundations, TA715-787
Abstract: A procedure to adjust rainfall intensity (RI) measurements to account for the wind-induced measurement bias of traditional catching-type gauges is proposed and demonstrated with an application to a suitable case study. The objective is to demonstrate that adjustment curves derived from numerical simulations and disdrometer measurements allow for a posteriori correction of rainfall time series based on the wind velocity measurements alone. To quantify the impact of wind on long-term records, 1 min RI measurements from a cylindrical tipping-bucket rain gauge installed at the Hong Kong Observatory are adjusted. Catch ratios derived from the instrument's aerodynamic behaviour under varying wind speed and drop size combinations are obtained by fitting computational fluid-dynamic simulation results already available in the literature. Co-located high-resolution wind speed measurements from a cup and vane sensor and drop size distribution measurements from an optical video disdrometer (the 2DVD or two-dimensional video disdrometer) are used to infer the collection efficiency of the gauge as a function of wind speed and RI alone and to adjust raw data from a 4-year dataset (2018–2021) of 1 min RI measurements. Due to the specific local climatology, where strong wind is often associated with intense precipitation, 80 % of the dataset adjustments are limited to 4 % of the observed RI values. This, however, results in a significant amount of available freshwater resources that would be missing from the calculated hydrological and water management budget of the region should the adjustments be neglected. This work raises the need to quantify the impact of the wind-induced bias at other sites where disdrometer data support a characterisation of the relationship between the drop size distribution and the measured RI. Depending on the local rain and wind climatology, the correction may account for a significant portion of the annual rainfall amount.
Published: 2023
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10. Ischemic wound revascularization by the stromal vascular fraction relies on host-donor hybrid vessels

Author: Roman Vuerich, Elena Groppa, Simone Vodret, Nadja Annelies Ruth Ring, Chiara Stocco, Fleur Bossi, Chiara Agostinis, Matteo Cauteruccio, Andrea Colliva, Mohammad Ramadan, Francesca Simoncello, Federica Benvenuti, Anna Agnelli, Franca Dore, Flavia Mazzarol, Massimo Moretti, Alice Paulitti, Silvia Palmisano, Nicolò De Manzini, Mattia Chiesa, Manuel Casaburo, Angela Raucci, Daniela Lorizio, Giulio Pompilio, Roberta Bulla, Giovanni Papa, and Serena Zacchigna
Subjects: Medicine
Abstract: Abstract Nonhealing wounds place a significant burden on both quality of life of affected patients and health systems. Skin substitutes are applied to promote the closure of nonhealing wounds, although their efficacy is limited by inadequate vascularization. The stromal vascular fraction (SVF) from the adipose tissue is a promising therapy to overcome this limitation. Despite a few successful clinical trials, its incorporation in the clinical routine has been hampered by their inconsistent results. All these studies concluded by warranting pre-clinical work aimed at both characterizing the cell types composing the SVF and shedding light on their mechanism of action. Here, we established a model of nonhealing wound, in which we applied the SVF in combination with a clinical-grade skin substitute. We purified the SVF cells from transgenic animals to trace their fate after transplantation and observed that it gave rise to a mature vascular network composed of arteries, capillaries, veins, as well as lymphatics, structurally and functionally connected with the host circulation. Then we moved to a human-in-mouse model and confirmed that SVF-derived endothelial cells formed hybrid human-mouse vessels, that were stabilized by perivascular cells. Mechanistically, SVF-derived endothelial cells engrafted and expanded, directly contributing to the formation of new vessels, while a population of fibro-adipogenic progenitors stimulated the expansion of the host vasculature in a paracrine manner. These data have important clinical implications, as they provide a steppingstone toward the reproducible and effective adoption of the SVF as a standard care for nonhealing wounds.
Published: 2023
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11. A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological Disorders

Author: Calimeri, Francesco, Cauteruccio, Francesco, Cinelli, Luca, Marzullo, Aldo, Stamile, Claudio, Terracina, Giorgio, Durand-Dubief, Francoise, and Sappey-Marinier, Dominique
Subjects: Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Computer Science - Logic in Computer Science
Abstract: Deductive formalisms have been strongly developed in recent years; among them, Answer Set Programming (ASP) gained some momentum, and has been lately fruitfully employed in many real-world scenarios. Nonetheless, in spite of a large number of success stories in relevant application areas, and even in industrial contexts, deductive reasoning cannot be considered the ultimate, comprehensive solution to AI; indeed, in several contexts, other approaches result to be more useful. Typical Bioinformatics tasks, for instance classification, are currently carried out mostly by Machine Learning (ML) based solutions. In this paper, we focus on the relatively new problem of analyzing the evolution of neurological disorders. In this context, ML approaches already demonstrated to be a viable solution for classification tasks; here, we show how ASP can play a relevant role in the brain evolution simulation task. In particular, we propose a general and extensible framework to support physicians and researchers at understanding the complex mechanisms underlying neurological disorders. The framework relies on a combined use of ML and ASP, and is general enough to be applied in several other application scenarios, which are outlined in the paper., Comment: Under consideration in Theory and Practice of Logic Programming (TPLP)
Published: 2019

12. A framework for investigating the dynamics of user and community sentiments in a social platform

Author: Bonifazi, Gianluca, Cauteruccio, Francesco, Corradini, Enrico, Marchetti, Michele, Terracina, Giorgio, Ursino, Domenico, and Virgili, Luca
Published: 2023
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13. Representation and compression of Residual Neural Networks through a multilayer network based approach

Author: Amelio, Alessia, Bonifazi, Gianluca, Cauteruccio, Francesco, Corradini, Enrico, Marchetti, Michele, Ursino, Domenico, and Virgili, Luca
Published: 2023
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14. Exploring the interactions between cardiomyocytes and endothelial cells to induce cardiac revascularization and regeneration

Author: Vuerich, R, primary, Colliva, A, additional, Vodret, S, additional, Volpe, M C, additional, Braga, L, additional, Canarutto, G, additional, Piazza, S, additional, Pedrazzini, T, additional, Chiesa, M, additional, Cauteruccio, M, additional, Ramadan, M, additional, Zentilin, L, additional, Giacca, M, additional, and Zacchigna, S, additional
Published: 2024
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15. Nanocarrier based on halloysite and fluorescent probe for intracellular delivery of peptide nucleic acids

Author: Massaro, Marina, Licandro, Emanuela, Cauteruccio, Silvia, Lazzara, Giuseppe, Liotta, Leonarda F., Notarbartolo, Monica, Raymo, Françisco M., Sánchez-Espejo, Rita, Viseras-Iborra, César, and Riela, Serena
Published: 2022
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16. Generation of four human induced pluripotent stem cell lines from COVID-19 hospitalized patients with increased levels of cardiac Troponin in the acute infection phase developing or not myocarditis

Author: Martina Rabino, Erica Rurali, Chiara Zamboni, Davide Rovina, Sara Mallia, Matteo Cauteruccio, Andrea Baggiano, Carlo Maria Giacari, Milena Bellin, and Giulio Pompilio
Subjects: Biology (General), QH301-705.5
Abstract: Coronavirus disease (COVID-19) is an infectious disease caused by SARS-CoV-2 virus, leading to mild to severe respiratory symptoms. Cardiovascular involvement is frequent and mainly manifests with myocarditis, arrhythmias, cardiac arrests, heart failure and coagulation abnormality. We generated human induced pluripotent stem cells (hiPSCs) from four COVID-19 patients, all characterized by increased levels of high-sensitivity Troponin I (hsTnI) during the infection acute phase, who developed (n = 2) or not (n = 2) severe myocarditis, as COVID-19 complication. The established hiPSCs were characterized for pluripotency and genomic stability, and constitute a useful resource for studying the mechanisms underlying the variability in COVID-19 severe cardiac manifestations.
Published: 2023
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17. An approach to detect backbones of information diffusers among different communities of a social platform

Author: Bonifazi, Gianluca, Cauteruccio, Francesco, Corradini, Enrico, Marchetti, Michele, Pierini, Alberto, Terracina, Giorgio, Ursino, Domenico, and Virgili, Luca
Published: 2022
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18. Snow Particle Collection Efficiency and Adjustment Curves for the Hotplate Precipitation Gauge

Author: Cauteruccio, Arianna, Chinchella, Enrico, Stagnaro, Mattia, and Lanza, Luca G.
Published: 2021

19. Extraction and analysis of text patterns from NSFW adult content in Reddit

Author: Cauteruccio, Francesco, Corradini, Enrico, Terracina, Giorgio, Ursino, Domenico, and Virgili, Luca
Published: 2022
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20. MedNER: A Service-Oriented Framework for Chinese Medical Named-Entity Recognition with Real-World Application.

Author: Chen, Weisi, Qiu, Pengxiang, and Cauteruccio, Francesco
Subjects: CONCEPT learning, BLENDED learning, TEXT mining, PATIENT care, SYMPTOMS
Abstract: Named-entity recognition (NER) is a crucial task in natural language processing, especially for extracting meaningful information from unstructured text data. In the healthcare domain, accurate NER can significantly enhance patient care by enabling efficient extraction and analysis of clinical information. This paper presents MedNER, a novel service-oriented framework designed specifically for medical NER in Chinese medical texts. MedNER leverages advanced deep learning techniques and domain-specific linguistic resources to achieve good performance in identifying diabetes-related entities such as symptoms, tests, and drugs. The framework integrates seamlessly with real-world healthcare systems, offering scalable and efficient solutions for processing large volumes of clinical data. This paper provides an in-depth discussion on the architecture and implementation of MedNER, featuring the concept of Deep Learning as a Service (DLaaS). A prototype has encapsulated BiLSTM-CRF and BERT-BiLSTM-CRF models into the core service, demonstrating its flexibility, usability, and effectiveness in addressing the unique challenges of Chinese medical text processing. [ABSTRACT FROM AUTHOR]
Published: 2024
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21. A Subjective Logical Framework-Based Trust Model for Wormhole Attack Detection and Mitigation in Low-Power and Lossy (RPL) IoT-Networks

Author: Sarmad Javed, Ahthasham Sajid, Tayybah Kiren, Inam Ullah Khan, Christine Dewi, Francesco Cauteruccio, and Henoch Juli Christanto
Subjects: IoT, RPL, SLF, PCC, Information technology, T58.5-58.64
Abstract: The increasing use of wireless communication and IoT devices has raised concerns about security, particularly with regard to attacks on the Routing Protocol for Low-Power and Lossy Networks (RPL), such as the wormhole attack. In this study, the authors have used the trust concept called PCC-RPL (Parental Change Control RPL) over communicating nodes on IoT networks which prevents unsolicited parent changes by utilizing the trust concept. The aim of this study is to make the RPL protocol more secure by using a Subjective Logic Framework-based trust model to detect and mitigate a wormhole attack. The study evaluates the trust-based designed framework known as SLF-RPL (Subjective Logical Framework-Routing Protocol for Low-Power and Lossy Networks) over various key parameters, i.e., low energy consumption, packet loss ratio and attack detection rate. The achieved results were conducted using a Contiki OS-based Cooja Network simulator with 30, 60, and 90 nodes with respect to a 1:10 malicious node ratio and compared with the existing PCC-RPL protocol. The results show that the proposed SLF-RPL framework demonstrates higher efficiency (0.0504 J to 0.0728 J out of 1 J) than PCC-RPL (0.065 J to 0.0963 J out of 1 J) in terms of energy consumption at the node level, a decreased packet loss ratio of 16% at the node level, and an increased attack detection rate at network level from 0.42 to 0.55 in comparison with PCC-RPL.
Published: 2023
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22. Aerosol delivery through high-flow nasal therapy: Technical issues and clinical benefits

Author: Cecilia Calabrese, Anna Annunziata, Domenica Francesca Mariniello, Valentino Allocca, Pasquale Imitazione, Rosa Cauteruccio, Francesca Simioli, and Giuseppe Fiorentino
Subjects: HFNC, aerosol–therapeutic, bronchodilators, high-flow nasal cannula, vibrating mesh nebulizer, jet nebulizer, Medicine (General), R5-920
Abstract: High-flow nasal cannula (HFNC) therapy is an oxygen delivery method particularly used in patients affected by hypoxemic respiratory failure. In comparison with the conventional “low flow” oxygen delivery systems, it showed several important clinical benefits. The possibility to nebulize drugs via HFNC represents a desirable medical practice because it allows the administration of inhaled drugs, mostly bronchodilators, without the interruption or modification of the concomitant oxygen therapy. HFNC, by itself has shown to exert a small but significant bronchodilator effect and improves muco-ciliary clearance; thus, the nebulization of bronchodilators through the HFNC circuit may potentially increase their pharmacological activity. Several technical issues have been observed which include the type of the nebulizer that should be used, its position within the HFNC circuit, and the optimal gas flow rates to ensure an efficient drug delivery to the lungs both in “quiet” and “distressed” breathing patterns. The aim of this review has been to summarize the scientific evidence coming from “in vitro” studies and to discuss the results of “in vivo” studies performed in adult subjects, mainly affected by obstructive lung diseases. Most studies seem to indicate the vibrating mesh nebulizer as the most efficient type of nebulizer and suggest to place it preferentially upstream from the humidifier chamber. In a quite breathing patterns, the inhaled dose seems to increase with lower flow rates while in a “distressed” breathing pattern, the aerosol delivery is higher when gas flow was set below the patient’s inspiratory flow, with a plateau effect seen when the gas flow reaches approximately 50% of the inspiratory flow. Although several studies have demonstrated that the percentage of the loaded dose nebulized via HFNC reaching the lungs is small, the bronchodilator effect of albuterol seems not to be impaired when compared to the conventional inhaled delivery methods. This is probably attributed to its pharmacological activity. Prospective and well-designed studies in different cohort of patients are needed to standardize and demonstrate the efficacy of the procedure.
Published: 2023
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23. Enhanced air quality prediction by edge-based spatiotemporal data preprocessing

Author: Ojagh, Soroush, Cauteruccio, Francesco, Terracina, Giorgio, and Liang, Steve H.L.
Published: 2021
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24. A prognostic model for use before elective surgery to estimate the risk of postoperative pulmonary complications (GSU-Pulmonary Score): a development and validation study in three international cohorts

Author: Bravo, Laura, Simões, Joana FF, Cardoso, Victor R, Adisa, Adewale, Aguilera, Maria L, Arnaud, Alexis, Biccard, Bruce, Calvache, Jose, Chernbumroong, Saisakul, Elhadi, Muhammed, Ghosh, Dhruv, Gujjuri, Rohan, Harrison, Ewen, Ho, Michael WS, Kasivisvanathan, Veerappan, Kouli, Omar, Lederhuber, Hans, Li, Elizabeth, Löffler, Markus W, Isik, Arda, Marcus, Hani, Martin, Janet, McLean, Kenneth A, Minaya-Bravo, Ana, Modolo, María Marta, Nepogodiev, Dmitri, Pellino, Gianluca, Picciochi, Maria, Pockney, Peter, van Ramshorst, Gabriëlle, Riad, Aya, Sayyed, Raza, Sund, Malin, Gkoutos, Georgios, Bhangu, Aneel A, Glasbey, James C, Bravo, L, Cardoso, V, Glasbey, J, Chernbumroong, S, Nepogodiev, D, Simoes, JFF, Mclean, KA, Bhangu, AA, Gkoutos, G, Kadir, B, Omar, O, Revell, E, Bahrami-Hessari, M, Ahmed, Waheed-Ul-Rahman, Argus, Leah, Ball, Alasdair, Bhangu, Aneel, Bywater, Edward P, Blanco-Colino, Ruth, Brar, Amanpreet, Chaudhry, Daoud, Dawson, Brett E, Duran, Irani, Elhadi, Muhammed, Glasbey, James C, Gujjuri, Rohan R, Jones, Conor S, Harrison, Ewen M, Kamarajah, Sivesh K, Keatley, James M, Lawday, Samuel, Li, Elizabeth, Mann, Harvinder, Marson, Ella J, Mclean, Kenneth A, Nepogodiev, Dmitri, Norman, Lisa, Ots, Riinu, Outani, Oumaima, Picciochi, Maria, Santos, Irène, Shaw, Catherine, Taylor, Elliott H, Trout, Isobel M, Varghese, Chris, Venn, Mary L, Xu, William, Dajti, Irida, Gjata, Arben, Kacimi, Salah Eddine Oussama, Boccalatte, Luis, Modolo, Maria Marta, Cox, Daniel, Pockney, Peter, Aigner, Felix, Kronberger, Irmgard Elisabeth, Samadov, Elgun, Alderazi, Amer, Padmore, Greg, van Ramshorst, Gabrielle, Lawani, Ismaïl, Cerovac, Anis, Delibegovic, Samir, Baiocchi, Glauco, Gomes, Gustavo Mendonça Ataíde, Lima Buarque, Igor, Gohar, Muhammad, Slavchev, Mihail, Nwegbu, Chukwuemeka, Agarwal, Arnav, Brar, Amanpreet, Martin, Janet, Ng-Kamstra, Joshua, Olivos, Maricarmen, Lou, Wenhui, Ren, Dong-Lin, Calvache, Jose Andres, Perez Rivera, Carlos J-, Danic Hadzibegovic, Ana, Kopjar, Tomislav, Mihanovic, Jakov, Avilés Jiménez, Pablo Mijahil, Gouvas, Nikolaos, Klat, Jaroslav, Novysedlák, René, Amisi, Nicolas, Christensen, Peter, El-Hussuna, Alaa, Batista, Sylvia, Lincango-Naranjo, Eddy, Emile, Sameh, Arévalo Sandoval, Danilo Alfonso, Dhufera, Hailu, Hailu, Samuel, Mengesha, Mengistu G, Kauppila, Joonas H, Arnaud, Alexis P, Demetrashvili, Zaza, Albertsmeier, Markus, Lederhuber, Hans, Löffler, Markus W., Kwesi Acquah, Daniel, Ofori, Bernard, Tabiri, Stephen, Metallidis, Symeon, Tsoulfas, Georgios, Aguilera-Arevalo, Maria-Lorena, Recinos, Gustavo, Mersich, Tamás, Wettstein, Dániel, Ghosh, Dhruva, Kembuan, Gabriele, Brouki Milan, Peiman, Khosravi, Mohammad Hossein, Mozafari, Masoud, Hilmi, Ahmed, Mohan, Helen, Zmora, Oded, Gallo, Gaetano, Pata, Francesco, Pellino, Gianluca, Fujimoto, Yuki, Kuroda, Naoto, Satoi, Sohei, Abou Chaar, Mohamad K., Ayasra, Faris, Fakhradiyev, Ildar, Hamdun, Intisar Hisham Said, Jin-Young, Jang, Jamal, Mohammad, Karout, Lina, Elhadi, Muhammed, Gulla, Aiste, Rasoaherinomenjanahary, Fanjandrainy, Samison, Luc Hervé, Roslani, April Camilla, Durán Sánchez, Iran Irani, Gonzalez, Diana Samantha, Martinez, Laura, Martínez, María José, Nayen, Alejandra, Ramos-De la Medina, Antonio, Nunez, Jade, Outani, Oumaima, Nashidengo, Pueya Rashid, Shrestha, Ashish Lal, Jonker, Pascal, Kruijff, Schelto, Noltes, Milou, Steinkamp, Pieter, Varghese, Chris, Wright, Deborah, Abdur-Rahman, Lukman, Ademuyiwa, Adesoji, Adisa, Adewale, Osinaike, Babatunde, Seyi-Olajide, Justina, Williams, Omolara, Williams, Emmanuel, Pejkova, Sofija, Al Balushi, Zainab, Qureshi, Ahmad Uzair, Sayyed, Raza, Abo Mohsen, Mustafa, Abukhalaf, Sadi A., Cukier, Moises, Gomez-Fernandez, Hugo, Shu Yip, Sebastian, Vasquez Ojeda, Ximena Paola, Sacdalan, Marie Dione, Major, Piotr, Azevedo, José, Cunha, Miguel F., Zarour, Ahmad, Bonci, Eduard-Alexandru, Negoi, Ionut, Efetov, Sergey, Kochetkov, Viktor, Litvin, Andrey, Allen Ingabire, Jc, Bucyibaruta, Georges, Faustin, Ntirenganya, 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Maa Albared, Sara, Naem, Antoine, Alnahr, Hareth, Jisry, Ghassan, Hammed, Ali, Isik, Arda, Francis Xaviour, Okedi, Turinawe, Gaston, Mubezi, Isaac, Sikakulya, Franck K., Kakeeto, Andrew, Kabweru, Dr. Wilberforce M., Lekuya, Hervé Monka, Kiweewa, Ronald, Lule, Herman, Matovu, Paul, Isaac, Otolia, Mashhour, Mohamed, El Helw, Amin, Alshryda, Sattar, Mohamed, Awadelkarim, Abbas, Ferial Mohamed Ali, Mohammed, Diary, Aldlyami, Ehab, Kundra, Rakesh, Michael, Antony Louis Rex, Alsaadi, Hayder, Khalil, Kareem S., Dbeis, Rachel, Shaikh, Shafaque, Ferry, Jenny, Jamal, Aiman, Siddique, Haleema, Das, Rishi, Ponugoti, Nikhil, Kamarajah, Sivesh K, Rattanasirivilai, Pornjittra, Sultana, Asma, Mosley, Frances, Chan, Matthew, Bateman, Antony, Davies-Jones, Gareth, Georgiades, Fanourios, Stewart, Grant D., Ahmadi, Navid, Coonar, Aman, Baig, Mariam, Khatri, Chetan, Surendran, Arthika, Sonksen, Julian, Sinnerton, Robert, Brennan, Caitlin, Gemma, Greenhalgh, Michael, Emerson, Hannah, Singisetti, Kiran, Totty, Joshua, Wilson, Michael, Lo, Terence, Corbett, Harriet, Okonkwo, Ijeoma, Arbane, Gill, El-Boghdadly, Kariem, Kerawala, Cyrus, Parmar, Chetan, Abbott, Tom, Bath, Michael, Odejinmi, Funlayo, Sagar, Jayesh, Talwar, Rishi, Newman, Samuel, Hammond, John, Moir, John, Duric, Natalie, Szakmany, Tamas, Iftikhar Talib, Ahmar, Youssef, Mina, Lewis-Lloyd, Christopher, Lami, Mariam, Ayub, Khurram, Dean, Benjamin, Balasubramanya, Supriya, Lakpriya, Sathya, Rogers, Luke, Turner, Paul, Maher, Mark, Sigamoney, Kohila, Edwards, John, El Kafsi, Jihène, Hardie, John, Johnson, David, Henein, Christin, Hollyman, Marianne, Agarwal, Ketan, Powell, Simon, Chauhan, Govind Singh, Patel, Rakesh, Gagnier, Joel, Carmichael, Heather, Olson, Kristofor A., Etchill, Eric, Incorvia, Joseph, Hirji, Sameer, Naunheim, Matthew, Drake, Frederick, Kaafarani, Haytham, Reinke, Caroline, Alecci, Anna, Vaysburg, Dennis, Rodriquez, Jennifer, Shih, Emily, Ban, Vin Shen, Coleman, Julia, Rice, Henry E., Kaups, Krista, 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Maximiliano, Zezular, Damaris Idara Anabel, Abuawad, Carla, Albani Forneris, Agustin, Brandariz, Rodrigo, Burchakchi, Arturo, Buttaro, Martin, Cano Busnelli, Virginia, Carminatti, Tomas, Cereghini, Julian, Crespi Amor, María Sol, Figari, Marcelo, Gonzalez Salazar, Esteban, Higuera, Felipe, Llano, Lionel, Lobos, Pablo, Mc Loughlin, Santiago, Mendoza, Efrain, Mercado, Pedro, Moyano, Pablo, Noll, Florencia, Odetto, Diego, Ramos, María Lourdes, Saadi, Jose, Scherñuk, Jordán, Slullitel, Pablo, Taboada, María Victoria, Vagni, Roberto, Montal, Silvina, Alvarez, Fernando Andres, Bruera, Nicolás, Parodi, Matias, Picon molina, Héctor, Belisle, Diego, Esteban, Agustin, García, José Sebastian, Granero, Lucas, Yaryura Montero, José Gabriel, D’Addino, José Luis, Calderón Arancibia, José Alfredo, John, Brooke-Smith, Mark, Hii, Amanda, Kundu, Nikhil, Marshall-Webb, Matthew, McVeay, Christina, Ong, Bee Shan, Parker, Dominic, Barnett, Dylan Richard, Buddingh, Karel, Dobbins, Christopher, Dudi-Venkata, Nagendra, Haque, Izhar-Ul, Herath, Matheesha, Kroon, Hidde M, Lim, Alicia, Moller, Cea-Cea, Neo, Eu Nice, Neo, Eu Ling, Russell, Christine, Tourani, Saam, Tran, Steven, Yin, Yijie, Watson, Matthew, Barker, John, Rugendyke, Anya, Watson, Eleanor, Sercombe, Ashleigh, Tee, Chin Li, Batstone, Martin, Field, Michael, Scott, Benjamin, Stevens, Sean, Charlton, Gabriella, Chen, Si, Gauri, Neha, Hayhurst, Ross, Jang, Seyoung, Zhang, Helen, Latif, Haider, Nagra, Sonal, Rudock, Gareth, Tan, Hannah, Underwood, Kirk, Youssef, Daniel, Bengeri, Savitha, Cheah, Hock Ping, Chen, Paul, Clark, Sara, Dawson, Amanda Caroline, Devan, Eliya, Fitt, Sophia, Gaul, John, Jolly, Danielle, Kane, James Dimitri, Kwok, Kelvin, Laura, Sharon, Lee, Vivian, Liang, Ina, Luo, Haili, Miles, Stephanie, Noor, Anthony, Simpson, Renwick, Cox, Aram, Thani, Nova, Egoroff, Natasha, Farik, Shebani, Moss, Jana-Lee, Wright, Deborah, Salama, Paul, Phan, Du, Townend, David, Chuan, Alwin, Barnett, Stephen, Hasan Kheslat, Hajar, Jamieson-Grigg, Chloe, Larner, Brett, Proud, David, Riddiough, Georgina, Seevanayagam, Sivendran, Zhao, Chris, An, Vinna, Drake, Anna, Hunt, Benjamin, Jain, Anshini, Lim, Christopher Seng Hong, Luck, Tara, Maroske, Georgia, Roubos, Nicholas, Sengupta, Shomik, Tsigaras, Zac, Ward, Salena, Zhou, Jessie, Coates, Amy, Nataraja, Ramesh, Pacilli, Maurizio, Gillard, Andrew, Petrakis, Nikki, Qureshi, Maryum, Seow, Sean Ezekiel, Vivian-Taylor, Josephine, Wheatley, Jennifer, O’Connor, Brendan, Teague, Warwick, Hii, Michael Wei, Isaacs, Anna, Johnson, Mary Ann, Price, Veronique, Rowcroft, Alistair, Shaw, Kalai, Stark, Claire, Lauritz, Brianne, Ong, Chui Foong, Tang, Howard, Davis, Amelia, Peerally, Bibi Nabeeha, Aubin, Anne-Marie, Gourlay, Ralph, Lim, Zhi Ying, Alsoudani, Ali, Amico, Francesco, Anning, Rebecca, Dale, Tyson, Duggal, Anchal, Ennis, Brendan, Fu, Yi Xin Joanna, Gani, Jonathan, Gelzinnis, Scott, Hadlow, Claudia, Hardstaff, Ruth, Lau, Wayne Yan, Liang, Hsin-Ping, Lim, Daniel, Mcilwain, Elysse, Ming, Yan Joyce, Ocsan, Ryan James, Organ, Nicole, Paterson, Amanda, Perez Cerdeira, Marisol, Ting, Caleb, Willoughby, Ellisha, Bailey, Ashley, Narayanan, Viswanathan, Wilkes, Anna, Zhao, Jie, D’Souza, Carl, Forbes, Clara, Haddleton, Monique, Mohammed Abdul, Naseer, Archer, Leigh, Dilevska, Tina, Hans, Tasvinder, Kumar, Mohit, Pham, Terence, Picazo Pineda, Fernando, Suk-Udom, Supisara, Jeyamanoharan, Nivedan, Sala, Michael, Dravid, Madhulika, McCartney, Conor, Sam, Apostolou, Christos, Berney, Christophe, Lam, Andrew, Ma, Vanessa, Cope, Jennifer, Llorando, Alyssa, Mahin, Humaira Haider, Putnis, Soni, Syed, Faisal, Ireland, Patrick, Zhu, Bonnie, Zitt, Matthias, Königsrainer, Ingmar, Allmer, Caterina, Mitteregger, Martin, Seitinger, Gerald, Duller, David, Mathew, Erwin, Skias, Christoph, Brinskelle, Petra, Holzmeister, Clemens, Kahn, Judith, Kresic, Josip, Lindenmann, Joerg, Lumenta, David, Puchwein, Paul, Singer, Georg, Wolf, Axel, Arco, Daniel, Kilic, Nura, Widschwendter, 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Supha, Melka, Abebe, Nebyou, Chanie, Abera, Gebre, Hiwot, Laeke, Tsegazeab, Mammo, Tihitena Negussie, Sahlu, Abat, Tiruneh, Abraham Genetu, Zewdneh, Betelhem, Fentaw, Jibril, Tabore, Ketema, Addisalem, Abreha, Tassew, Abdissa, Desalegn, Tesfaw, Mequannet, Asmamaw, Dawit, Bedane, Dereje, Bekele, Ephrem, Getie, Aderaw, Girma, Adissu, Shimelash, Dagim, Ayalew, Tewabe, Kassahun, Berhanu, Mulugeta, Esubalew, Sisay, Silamlak, Ibrahim, Adem, Mekete, Alem, Mohammed, Adnan Abdulkadir, Abdullahi, Yasir Younis, Adem, Ephrem, Siyoum, Eneyew Getachew, Zeleke, Ewunetu, Degefe, Derje Worku, Derilo, Habtamu, Eliyas, Nebiyu, Deressa, Yadani, Melese, Lemi, Muleta, Lemesa, Teshome, Abraham, Tesso, Birhanu, Gebrekirstos, Dr.Gebreagziabher, Pitkänen, Joel, Qian, Cheng, Sinikumpu, Jaakko, Dakpé, Stéphanie, Devauchelle, Bernard, Lavagen, Nolwenn, Bastard, François, Bin, Kim, Moukoko, Didier, Alshawared, Fadi, Beyrne, Carlos Daniel, Lugans, Laurene, Doussot, Alexandre, Onorati, Ilaria, Radu, Dana, André, 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Del, Mathilde, Vancon, Antoine, Machemedze, Solomon, Muhemi, Roger, Ndizeye, Olivier, O’Connor, Jennifer, Tchoba, Simplice, Modabber, Ali, Schäfer, Benedikt, Wallqvist, Julia, Ziemann, Sebastian, Anthuber, Matthias, Broecheler, Tobias, Goßlau, Yvonne, Maksymiw, Florian, Sommer, Florian, Sommer, Björn, Loch, Florian N, Aghalarov, Ilgar, Braumann, Chris, Höhn, Philipp, Horn, Julian, Egger, Eva, Enderes, Jana, Strieth, Sebastian, Treede, Hendrik, Wittmann, Maria, Marche, Benedikt, Schulz, Sissy-Amelie, Fuchs, Hans, Bork, Ulrich, Meisel, Cornelia, Petzold, Andrea, Fluegen, Georg, Knoefel, Wolfram Trudo, Solodarenko, Oleksandra, Grützmann, Robert, Hackner, Danilo, Faqar-Uz-Zaman, Sara Fatima, Schnitzbauer, Andreas, Fung, Christian, Leiber, Christian, Neidert, Nicolas, Sandkamp, Richard, Schlager, Daniel, Strähle, Jakob, Spelsberg, Fritz, Becker, Johannes, Gonschor, Bernhard, Herbolzheimer, Marit, Keppler, Lena, Hecker, Matthias, Reichert, Martin, Sander, Michael, Schmidt, Götz, Schneck, Emmanuel, Kleeff, Jorg, Lorenz, Kerstin, Ronellenfitsch, Ulrich, Thomssen, Christoph, Dumpies, Christian W., Fischer, Isabel, Gessner, Michael, Klauke, Friederike, Schmidt, Birte, Vinz, Franziska, Sander, Johannes, Betz, Christian Stephan, Bewarder, Julian, Burg, Simon, Klatte, Till Orla, König, Daniela, Köpke, Leon-Gordian, Stangenberg, Martin, Roux, Frederic, Hakami, Ibrahim Abdullah, Mall, Julian W, Graeb, Christian, Huber-Strößner, Kristin, Pempe, Christina, Kelly, Kathrin, Siebert, Julia, Agrawal, Rachit, Gousias, Konstantinos, Qureischie, Homeira, Meyer, Frank, Rissmann, Anke, Turial, Salmai, Al-Nawas, Bilal, Battista, Marco Johannes, Heider, Julia, Mueller, Lena Katharina, Jentschura, Sina- Louisa Patrizia, Kowalewski, Karl-Friedrich, Rassweiler-Seyfried, Marie-Claire, Reissfelder, Christoph, Rotter, Nicole, Scherl, Claudia, Seyfried, Steffen, Fichter, Andreas, Gempt, Jens, Schäffer, Christoph, Wegmann, Helmut, Aghamaliyev, Ughur, Böcker, Wolfgang, von Ehrlich-Treuenstätt, Viktor H., Ladurner, Roland, Schlager, Justin Gabriel, Smolka, Wenko, Glowalla, Claudio, Schneidmueller, Dorien, Henkel, Karl Wilhelm, Stadler, Josef, Hölz, Katharina, Brunner, Stefan M., Prantl, Lukas, Herzberg, Jonas, Kröger, Marie, Niemeier, Andreas, Sras, Yara, Reinhard, Tobias, Löffler, Markus W., Steidle, Christoph, Dayan, Davut, Greve, Jens, Löbig, Niklas, Schochter, Fabienne, Wezel, Felix, Pusch von, Silke, Schmidbauer, Stefan, Boenicke, Lars, Degener, Stephan, Seiberth, Rose, Smit, Marieke, von Rundstedt, Friedrich-Carl, Germer, Christoph-Thomas, Lock, Johan, Lotz, Christopher, Schlesinger, Tobias, Schmid, Benedikt, Treutlein, Agnes, Agyeman-Duah, Nana Kwaku, Appiah, Enoch, Gakpetor, Delali, Minlah Allah, Stephen, Adu-Aryee, Nii Armah, Agboadoh, Nelson, Bediako Bowan, Antoinette, Brown, George Darko, Clegg-Lamptey, Joe-Nat, Fenu, Benjamin Sena, Kumassah, Philemon, Hussey, Romeo, Agbeno, Evans Kofi, Amoako-Boateng, Mabel, Debrah, Samuel, Doku, Dr Kingsley, Mensah, Philip, Nortey, Michael, Opandoh, Isabella Naa Morkor, Yigah, Makafui, Jiagge, Nuna, Acquaye, Jane, Agyemang-Prempeh, Akosua, Amo-Antwi, Kwabena, Amoah, Michael, Amoah, George, Aning, Daniel Gyawu, Annor Mintah, Dominic, Arthur, Joshua, Darko- Asante, Regina, Gaveh, Valerie, Gyamfi, Frank Enoch, Jonathan, Boakye - Yiadom, Konney, Thomas Okpoti, Kyei, Ishmael, Nimako, Boateng, Ofosu-Barko, Ben Blay, Osabutey, Anita, Sagoe, Robert, Yifieyeh, Abiboye, Ansong, George, Abdul-Mumin, Alhassan, Amadu, Munira, Azahares Leal, German, Buunaaim, Alexis, Cheyuo, Ernest, Daboo Salifu, Latif, Issaka, Adamu, Yakubu, Musah, Grypiotis, Ioannis, Papadopoulou, Triada, Korkolis, Dimitrios, Thomakos, Nikolaos, Dellaportas, Dionysios, Dimitra, Papalouka, Hadjizacharias, Theodoros, Konstadoulakis, Manousos, Massaras, Dimitrios, Vezakis, Antonios, Avgerinos, Konstantinos, Kechagias, Aristotelis, Ioannidis, Argyrios, Patelis, Nikolaos, Deskou, Eirini, Stamos, Nikolaos, Tasis, Nikolaos, Danias, Nikolaos, Selmani, Jonida, Kalamatianos, Theodosis, Stranjalis, George, Kondilis, Panagiotis, Kanellopoulou, Vasiliki, Larentzakis, Andreas, Papanikolaou, Vasileios, Potamianos, Spyridon, Triantafyllou, Tania, Panagiotou, Peter, Avramidis, Emmanouil, Bessias, Nikolaos, Tsiantoula, Paraskevi, Charalabopoulos, Alexandros, Kykalos, Stylianos, Kyros, Eleandros, Machairas, Nikolaos, Mastoraki, Aikaterini, Papalampros, Alexandros, Terras, Alexis, Tsourouflis, Gerasimos, Zografos, Constantinos, Antzaka, Christina, Falara, Areti, Perreas, Konstantinos, Rellia, Panagiota, Tasouli, Androniki, Skolarikos, Andreas, Tzelves, Lazaros, Theodorakis, Emmanuel, Karona, Paraskevi, Tzouganakis, Angelos, Chrysos, Emmanuel, Nikolouzakis, Taxiarchis, Tourountzi, Paraskevi, Al, Aggeliki, Kalfountzos, Christos, Arnaoutoglou, Eleni, Christodoulidis, Gregory, Gkolias, Nick, Hajiioannou, Jiannis, Krestinidis, Giorgos, Ntalouka, Maria, Saini, Fani, Skoulakis, Charalampos, Terzoudis, Christos Dimitrios, Zacharoulis, Dimitris, Δακής, Κωνσταντίνος, Filo, Eva, Kontopoulou, Konstantina, Patoulias, Ioannis, Astreidis, Ioannis, Christidis, Panagiotis, Loutzidou, Lydia, Mantevas, Antonis, Tatsis, Dimitris, Tsakiridis, Ioannis, Iordanidou, Eirini, Brolo, Estuardo, Gutiérrez Ruiz, Alitza, De León Lima, María Alejandra, Flores, Mario-Andrés, Morales, Steffanía, Rivera, Pablo, Rodas, Lesly, Santos, Victor, Sosa, Dianne, Barrios Duarte, Amalia, Talé-Rosales, Luis-Fernando, Villeda, Sergio Alejandro, Anicetti, Joshua, Lowey, Megan, Ardebol, Javier, Barillas, Kathia, Barillas, Sabrina, Recinos, Salvador, Hon, Sophie, Liu, Alex Qinyang, Liu, Shirley, Ip, Ho Wai, Mak, Brian, Mok, Chung Ying, Wong, Kiu Fung, Au-Yeung, Kit Ying, Chan, David Yuen Chung, Chiu, Wang Kei, Ho, Jacky Yan Kit, Kung, Janet Wui Cheung, Ling, Samuel Ka Kin, Lok, Hon Ting, Teoh, Jeremy Yuen-Chun, Wong, Randolph, Antal, Zsuzsanna, Bahrehmand, Kiarash, Sztipits, Tamás, Hidi, László, Piros, Laszlo, Rózsa, Balazs, Herczeg, György, Saftics, György, Kulcsicka-Gut, Judit, Sipos, Zsófia, Majmudar, Hardil, Madabhavi, Irappa, G S, Anitha, Kesarla, Venkatesh, Kumar Venkatappa, Sunil, P B, Hareesh, Shivashankar Chikkanayakanahalli, Santhosh, Sunil, Tanvi, Rajagopal, Niranjana, P L, Thirumanikandan, Mishra, Nitu, Wadhwani, Dr Rekha, Dhurwe, Ritika, Pushpalatha, Kameshwarachari, Raj, Sumit, Singh, Pooja, Kumar, Pankaj, Mittal, Yash, Panigrahi, Sibasish, Parija, Sucheta, Patra, Saroj, Sahu, Rabi, Sultania, Mahesh, Tripathy, Sujit, Kansay, Rajeev, Gupta, Sunil Kumar, Kaman, Lileswar, Salunke, Pravin, Singh, Kavindra, Rela, Mohamed, Goudar, Swati, B, Barani kumar P, Murugesan, Anandan, Subbian, Anbukkani, Kumar, Arvind, Chauhan, Tapan singh, Govil, Akhil, Gupta, Shubhra, Sharma, Ashish, Tiwari, Saurabh, Vishwani, Vartika, Evelyn. R, Nissi, Deb, Mainak, Jayaram, Harish, Nagpal, Pooja, Pathak, Prachi, Choudhary, Gautam Ram, Chugh, Ankita, Elhence, Abhay, Madduri, Vijay, Pandey, Himanshu, Saxena, Rahul, Sharma, Naveen, Shekhar, Shashank, Vishnoi, Jeewan Ram, Bhende, Vishal, Chatterjee, Debarshi, Ghosh, Indranil, Naskar, Upasana, Jain, Prateek, Jain, Deepak, Kewlani, Vishal, Priya, Noopur, Parijat, Anand, Anand, Akshay, Bajaj, Ankur, Chaurasia, Akhilanand, Enny, Loreno E., Kumar, Ambrish, Mishra, Brijesh, Pandey, Amita, Rajan, Shiv, Roy, Ashutosh, Sachan, Rekha, Sankhwar, Pushp, Singh, Uma, Singh, Urmila, Srivastava, Chhitij, Verma, Manju Lata, Yadav, Awdhesh, Agarwal, Gaurav, Chanthar, K.m.m.vishvak, Hoysal, Dileep, Mishra, Anjali, Batra, Nitin, Bhatti, Arun, Dhar, Tapasya, Dutta, Rohini, Haque, Parvez David, Jain, Ritu, Luther, Anil, Mahajan, Amit, Pargal, Dr Pinki, Samuel, Abhishek, Singh, Inderjot, Singh Grewal, Sarvpreet, Singhania, Anusha, Alexander, Philip, Thomas, Josy, Krishna, Sunil, Singh, Narinder, Agarwal, Sunny, Balasubramaniam, Srikant, Dharap, Satish, Mhamane, Rameshwar, Nirgude, Anand, Parab, Sandesh, Peswani, Amit, Sahu, Anjana, Samel, Sarika, Shah, Fagun, Abraham, Bejoy, Asari, Ashishkumar, Badhe, Vivek, Badhwar, Sanjiv, Bothara, Vipul, Dalal, Anuj, Date, Avinash, Deshpande, Mandar, Doshi, Anirudha, Gade, Maya, Gajjar, Shreyash, Ghugare, Dr bhavisha, Jain, Divakar, Jenasamant, Saumya Sekhar, Joshi, Vinay, Kalwadia, Neha, Kayal, Akshat, Kulkarni, Yogesh, Mistry, Rajesh, Mulchandani, Manoj, Parab, Dr. Mrunal, Pednekar, Abhinav, Rahmani, Faizan, Rajput, Sunil, Sandlas, Gursev, Sarkar, Hrishikesh, Shetty, Sanket sadanand, Shukla kulkarni, Anshumala, Thete, Raghavendraswami, Wasnik, Shruti, Dhumane, Parag, Sharma, Rahul Deo, Deshmukh, Anuja, Gupta, Stuti, Nayak, Prakash, Thiagarajan, Shivakumar, Tiwari, Virendra Kumar, Voppuru, Saiesh Reddy, Soni, Rajesh, Bajpai, Minu, Farooque, Kamran, Parshad, Rajinder, Sharma, Vijay, Bansal, Kuldeep, Bains, Lovenish, Bhardwaj, Rohit, Mittal, Abhishek, Ponnusamy, Sabarirajan, Ghodke, Rahul, Himani, Kumar, Ashwani, Gadekar, Anup, Panjwani, Taufiq, Maji, Suvendu, Basu, Somprakas, Kandwal, Pankaj, Kumar, Shashank, Poonia, Dharma Ram, Sadhasivam, Saravanan, Mahakalkar, Chandrashekhar, Choudhury, Yousuf, Das, Devishmita, Goala, Subhadra, Singha, S Thoibisana, Singha, Damayanti, Mehraj, Asif, Parray, Fazl, Shah, Raahil, Wani, Rauf, Hegde, Siddhi, Ankadavar, Dr.sushil, Bafna, Darshan, Lad, Parag, Chisthi, Meer, Jothi, Harihara, .C. Mathew, Godwin David, Abel, Livingston, Barla, Ravi Kishore, Benjamin, Santosh, Bliss, Jeremy, Ete, Geley, James, Deeptiman, Jesudason, Mark Ranjan, Karnan, Gomathi, Mark Samuel, Vasanth, Mittal, Rohin, Nathan, Senthil K, Selvaraj, Daniel, Surendran, Suraj, T D, Hariharan, Thangaraj, Santhosh Kumar, Thomas, Varghese, Dilmy, Mohammad Adya Firmansha, Pratama, Dedy, Sugiarto, Adhrie, Surya, Ilham Utama, Tango, Tamara, Hasyim, Andi, Susanti, Ade, Saputra, Teddy, Syarifuddin, Erwin, Islam, Andi Asadul, Anam, Khoirul, Sugianto, Julius Albert, Lestari, Mayang Indah, Amba, Erick Gamaliel, Apriawan, Tedy, Wathoni, Roidah Taqiyya Zahra, Widyastuti, Yunita, Yun Jufan, Akhmad, Etezadpour, Mohammad, Mehrad-Majd, Hassan, Rajaei, Parisa, Mehdizadeh, Mohammad, Soltani, Mina, Pour, Ali Moazami, Azarnia, Gholamreza, Alizadeh, Narges, Mokarami, Hossein, Tehrani, Shahrzad, Alborzi, Majid, Bagheri, Hamed, Eshraghi, Mohsen, Fatemi manesh, Hassan, Hejazi, Seyed fakhreddin, Pezeshki Modarres, Mahdi, Shafiee, Ali, Vafaeimanesh, Jamshid, Hosseini, Elahe, Nikoupour, Hamed, Bastaninejad, Shahin, Firouzifar, Mohammadreza, Motasaddi zarandy, Masoud, Yazdani, Nasrin, Yousefzadeh Kandevani, Naser, Mortazavi, SM Javad, Ahmadi, Sayedali, Khosravi, Mohammad Hossein, Vosoughi, Fardis, Golbakhsh, Mohammadreza, Al-Isawi, Ali, Al-Masood, Mohammed, Gahtan, Yarub, Ahmed, Abdullah, Hilmi, Ahmed, Muhssein, Haidar, McNestry, Catherine, Ekwere, Bosom, Essajee, Murtaza, Chan Chin, Bruno, Edwards Murphy, Amy, Fleming, Christina, Foley, Niamh, Gardiner, Padraig, Hechtl, Daniel, Kayyal, Mohd yasser, Lyons, Maria, O’Brien, Stephen, Ng, Mei Yee, Oduola, Oladayo, Aljohmani, Lylas, Nugent, Timothy, Harris, Johnathon, Kearney, David, Keenan, Robert Anthony, Nolan, Deirdre, Salloum, Croghan, Stefanie M, Donohoe, Emma, Larkin, John, Lynch, Thomas Hugh, Manecksha, Rustom, Nagassima, Katharina, Barry, Mary, Cullinane, Carolyn, Dowdall, Joseph, Hurson, Conor, Kelly, Orlaith, Kennelly, Rory, Kiernan, Aoife, Murphy, Ben, Njeze, Nwabundo, Reynolds, Ian Sean, Winter, Des, Ravi, Akshaya, Ridgway, Paul, Fowler, Amy, McAnena, Peter, Bahadoor, Muhammad Usaama, Kabir, Syed Mohammad Umar, Khalid, Mohamed Hamed, Mujtaba, Syed Nadeem, Sarwar, Muhammad assam, Sugrue, Michael, Varzgalis, Manvydas, Jones-Whiting, Larne, Lim, Seantee, Ryan, Éanna, Sara, Al-Mukhaizeem, Youssef, Crowley, Clare, Flanagan, Michael, Fogarty, Amy, Glynn, Orna, Hill, Rhodri, Khalid, Muhammad Abdullah, Majeed, Zubair, McCullough, Peter, Neary, Peter, Noone, Anthony, O’Kelly, John, Abu abed, Arsan, Haim, Nadav, Hershkovitz, Yehuda, Majadla, Omar, Rabin, Igor, Zmora, Osnat, Demma, Yonatan Avraham, Fishman, Yuri, Farkas, Amicur, Gozal, Yaacov, Greenman, Dmitry, Ostrovsky, Israel Alexander, Pardes, Rivka, Shahar, Tal, Teren, David, Yahud, Reuven, Yellinek, Shlomo, Cianci, Pasquale, Minafra, Marina, Restini, Enrico, Bussolin, Edoardo, De Prizio, Marco, Sulce, Rezart, Poiasina, Elia, Antonacci, Filippo, Arena, Alessandro, Belvedere, Angela, Bernagozzi, Fabio, Boussedra, Safia, Cescon, Matteo, Cipolli, Alessandro, Daddi, Niccolo’, De Crescenzo, Eugenia, De Iaco, Pierandrea, Del Gaudio, Massimo, Della Gatta, Anna Nunzia, Droghetti, Matteo, Giorgini, Federico A., Lanci Lanci, Antonio, Masetti, Michele, Minni, Francesco, Morezzi, Daniele, Perrone, Anna Myriam, Pignatti, Marco, Puglisi, Silvana Bernadetta, Rottoli, Matteo, Schiavina, Riccardo, Serenari, Matteo, Serra, Margherita, Tesei, Marco, Violante, Tommaso, Aspide, Raffaele, Carretta, Alessandro, Conti, Alfredo, De Vita, Carla, Friso, Filippo, La Corte, Emanuele, Rosetti, Vittoria, Sturiale, Carmelo, Donati, Davide Maria, Palmerini, Emanuela, Berselli, Bruno, Bolognesi, Silvia, Farnia, Francesco, Maremonti, Pietro, Razzaboni, Alessandra, La Mendola, Roberta, Arrigoni, Giulia, Baiocchi, Gian Luca, Molfino, Sarah, Panciani, Pier Paolo, Sartori, Enrico, Zanin, Luca, Perrone, Fabrizio, Cappellani, Alessandro, Giaquinta, Alessia, Gioco, Rossella, Veroux, Pierfrancesco, Cianci, Antonio, Lo Giudice, Arturo, Russo, Giorgio Ivan, Sarpietro, Giuseppe, Scandura, Carmen Emanuela, Barca, Ida, Carnevali, Adriano, De Paola, Gilda, Giannaccare, Giuseppe, Sammarco, Giuseppe, D’Andrea, Marcello, Tosatto, Luigino, Mucilli, Felice, Muraglia, Angelo, Giuliani, Domenico Benvenuto, Segalini, Edoardo, Daniele, Alberto, Gelarda, Enrico, Olearo, Elena, Puppo, Andrea, Testa, Valentina, Porta, Andrea, Birindelli, Arianna, Bernabei, Massimiliano, Feo, Carlo V., Virgilio, Edoardo, Bartolini, Ilenia, Bottari, Andrea, Checcucci, Carlotta, De Vincenti, Rosita, Fambrini, Massimiliano, Fortuna, Laura, Gallo, Oreste, Maltinti, Gherardo, Taddei, Antonio, Michelagnoli, Stefano, Maccagnano, Giuseppe, Pesce, Vito, Ercolani, Giorgio, Fappiano, Francesca, Barberis, Andrea, Filauro, Marco, Santoliquido, Matteo, Aprile, Alessandra, Barra, Fabio, De Rosa, Raffaele, Ferrero, Simone, Sparavigna, Marco, Vagge, Aldo, Gambardella, Denise, Tedesco, Manfredo, Spampinato, Marcello Giuseppe, Chiarelli, Marco, Grandi, Samuele, Lenzi, Riccardo, Muscatello, Luca, Germano’, Antonino Francesco, Giani, Alessandro, Bissacco, Daniele, Cassinotti, Elisa, Pignataro, Lorenzo, Torretta, Sara, Armellin, Daniele, Basato, Silvia, Carrano, Francesco Maria, Colombo, Giovanni, De Lucia, Francesca, De Virgilio, Armando, Ferreli, Fabio, La Raja, Carlotta, Milana, Flavio, Rossi, Vanessa, Russo, Elena, Tamburello, Sara, Zerbi, Alessandro, Bona, Davide, Adamoli, Laura, Ansarin, Mohssen, Chu, Francesco, De Berardinis, Rita, Pietrobon, Giacomo, Sedda, Giulia, Caputo, Maria, Cellerino, Paola, Crespi, Michele Achille, Danelli, Piergiorgio, Ferrara, Francesco, Baccellieri, Domenico, Candiani, Massimo, Casiraghi, Arianna, Cipriani, Federica, De Nardi, Paola, Mortini, Pietro, Nocera, Gianluca, Pozzoni, Mirko, Ruffolo, Alessandro Ferdinando, Spina, Alfio, Barberio, Cristina, Beretta, Luigi, Cavenago, Francesca, Fresilli, Stefano, Landoni, Giovanni, Lombardi, Gaetano, Bonomi, Stefano, Guaglio, Marcello, Sala, Laura, Segattini, Silvia, Piccoli, Micaela, Migliore, Marco, Sasia, Diego, Cereda, Marco, Dell’Oro, Cristina, Fogliati, Alessandro, Tamini, Nicolò, Castaldi, Antonio, Bracale, Umberto, Lionetti, Ruggero, Pagano, Gianluca, Peltrini, Roberto, Pirozzi, Nello, D’amico, Maria, Izzo, Francesco, Marra, Ester, Marte, Gianpaolo, Bianco, Francesco, Cappiello, Antonio, Iovino, Claudio, Menna, Maria Paola, Romano, Francesco maria, Rossi, Settimio, Sciaudone, Guido, Ascari, Francesca, Bellora, Paolo, Cerri, Cristina, D’Aloisio, Giordana, Ferrari, Maurizio, Chioffi, Franco, Ciccarino, Pietro, Nezi, Giulia, Bissolotti, Guido, Di Donna, Mariano Catello, Licari, Leo, Salamone, Giuseppe, Toia, Francesca, Annicchiarico, Alfredo, Berretta, Roberto, Capozzi, Vito Andrea, Freyrie, Antonio, Frusca, Tiziana, Arici, Vittorio, Bozzani, Antonio, Filardo, Matteo, de Manzoni Garberini, Andrea, Cauteruccio, Michele, Caristo, Giuseppe, Calabrò, Marcello, Andreani, Lorenzo, Antonio, D’arienzo, Berrettini, Stefano, Colangeli, Simone, Cremonini, Camilla, Dallan, Iacopo, Di Franco, Gregorio, Korasidis, Stylianos, Musetti, Serena, Neri, Carlo Maria, Palmeri, Matteo, Picariello, Miriana, Statuti, Erica, Tartaglia, Dario, Pinotti, Enrico, Basso, Stefano Maria Massimiliano, Ubiali, Paolo, Coiro, Saverio, Mele, Simone, Corbellini, Carlo, Masciandaro, Antonio, Carannante, Filippo, Denaro, Vincenzo, Mazzotta, Erica, Zampogna, Biagio, Cinquepalmi, Matteo, Del Basso, Celeste, Guglielmo, Nicola, Meniconi, Roberto Luca, Sinibaldi, Giovanni, Agnes, Annamaria, Belia, Francesco, Bianchi, Valentina, Cozza, Valerio, Fico, Valeria, Fransvea, Pietro, La Greca, Antonio, Litta, Francesco, Pascale, Marco Maria, Silvia, Tedesco, Benevolo, Maria, Campo, Flaminia, Dona’, Maria Gabriella, Marchesi, Paolo, Mastroianni, Riccardo, Mazzola, Francesco, Moretto, Silvia, Petruzzi, Gerardo, Pichi, Barbara, Tuderti, Gabriele, Bellato, Vittoria, Grande, Michele, Petagna, Lorenzo, Sensi, Bruno, Bruzzaniti, Placido, Ciccarone, Flavia, Cicerchia, Pierfranco Maria, Cirillo, Bruno, D’ambrosio, Giancarlo, De Toma, Giorgio, Familiari, Pietro, Fonsi, Giovanni Battista, Pata, Francesco, Picchetto, Andrea, Salvati, Maurizio, Valentini, Valentino, Zambon, Martina, Zancana, Giuseppa, Zuppi, Emma, Ibrahim, Mohsen, Menna, Cecilia, Rendina, Erino Angelo, Accarino, Giulio, Giancarlo, Accarino, Froiio, Caterina, Copelli, Chiara, Di Maio, Pasquale, Giudice, Marco, Altana, Cristian, Ciccarello, Sandro, Cossu, Maria Laura, Dessole, Francesco, Dettori, Salvatora, Madonia, Massimo, Petrillo, Marco, Piredda, Franco, Rizzo, Davide, Scognamillo, Fabrizio, Soma, Damiano, Tanca, Anna Rita, Marano, Luigi, Pesce, Anna Lisa, Piccioni, Stefania Angela, Resca, Luca, Roviello, Franco, Abrate, Alberto, Clarizia, Guglielmo, Franzini, Marco, Fratto, Antonio, Grechi, Alessandro, Scarnecchia, Elisa, Maiuri, Vincenzo, Dalprà, Francesca, Battistella, Enrico, Romano, Maurizio, Aizza, Giada, de Manzini, Nicolò, Drigo, Davide, Mastronardi, Manuela, Palmisano, Silvia, Bardelli, Laura, Borroni, Giacomo, Livraghi, Lorenzo, Palumbo, Mara, Zullo, Alessandra, Vignotto, Chiara, Caravati, Andrea, De Cristofaro, Carlotta, Giuliani, Tommaso, Guglielmi, Alfredo, Pedrazzani, Corrado, Butturini, Giovanni, Moretto, Gianluigi, Mastriale, Francesco, Olmi, Stefano, Kushikata, Tetsuya, Oyama, Tasuku, Kamiyama, Mizue, Tarao, Kentaroh, Yamada, Takayuki, Shiga, Toshiya, Deguchi, Yoshihiko, Hoshino, Tatsuki, Inoue, Hiroyuki, Ito, Shingo, Takano, Emi, Yamamoto, Masae, Matsuki, Yuka, Matsumoto, Takashi, Sawada, Atsushi, Sato, Kozo, Makino, Jun, Mizota, Toshiyuki, Yonekura, Hiroshi, Ishikawa, Haruka, Kaiho, Yu, Ogawa, Munehiro, Endo, Shunji, Fujiwara, Yoshinori, Kubota, Hisako, Okada, Toshimasa, Hisamatsu, Yoji, Michiura, Taku, Satoshi, Okazaki, Fujita, Tomoyuki, Fukushima, Satsuki, Otsuka, Yuji, Sawada, Ikumi, Miyamoto, Morikazu, Isada, Tetsuro, Bani Amer, Qaed, Fujimoto, Yuki, Kuratani, Norifumi, Takada, Misa, Noro, Shusaku, Kuroda, Naoto, Okamura, Yukiyasu, Uesaka, Katshuhiko, Kuroda, Kento, Abe, Nobutsugu, Ando, Tadao, Hirano, Kouichi, Kobayashi, Yoichi, Motoyasu, Akira, Noguchi, Hikari, Tajima, Atsushi, Toyama, Satoshi, Uchida, Tokujiro, Furukawa, Yuri, Hasumi, Yoko, Iida, Katsuyuki, Ikeda, Tatsuhiko, Kuzuhara, Shigeki, Yamamoto, Naoya, Yamamoto, Mari, Yokota, Toshiya, Yoshioka, Yuki, Kawai, Akira, Nakata, Yoshinori, Sawamura, Shigehito, Kobayashi, Takayuki, Alqudah, Majdi Ali, Alrabadi, Mera, Owais, Qais, Smadi, Aseel, Abunawas, Huthifa, Alhawatmeh, Mohammad, Alwardat, Abdel Rahman Mohannad Ahmad, Dhoon, Slsabela, Jaradat, Enas, Mubaydeen, Teeba, Alzraikat, Sayel H., Omari, Rand Y., Suradi, Haya H., Al Abdallah, Murad, Al Bdour, Zakaria, Al-thaher, Mohammad, Alnajjar, Tareq, AlZaatreh, Mohammad, Ayasra, Faris, Ghayada, Ibrahim, Hasanein, Khaled Moh’d Ahmed, Hassouneh, Anas, Hijazeen, Raid, Khasawneh, Barihan, Semrin, Qusai, Theab, Mohammad, Abazeed, Alaa, Alkurdieh, Moh’d Mujahed, Hammouri, Mohammad, Khader, Sereen, Abu Obead, Hamza, Abudari, Hadeel, Al-azzeh, Nimer, Al-Darabah, Ali, Al-Qannas, Mohammad, Ashour, Subhi, Chabaan, Reem, Fawzi, Ahmad, Haij, Manal, Hassouneh, Esraa, Ibrahim, Zainab, Mohamed, Ishak, Qandeel, Mahmoud, Qassem, Faisal, Shorman, Marwan, Nofal, Sandra, Salameh, Mohammed, Sanjuq, Ghaidaa, Sharabi, Alaa, Sweiti, Alaa, Baninasr, Eman, Abuleil, Amro, Abou Chaar, Mohamad K., Al-latayfeh, Motasem, Al-Shudifat, Abdel-Ellah, Shaikh Ahmad, Abd Almonem, Abu Abed, Laith, Allouzi, Mohammad, Almi’ani, Sari, Alsaiad, Abdulhakim, Daoud, Maher, Dawod, Omar, Fadli, Saba, Jimaale, Elmi Ahmed Mohamed, Qulaghassi, Zaki, Al-howthi, Mohammed, Ababneh, Laila, Ababneh, Roba, Al Khassawneh, Ahmad, Al Sharie, Ahmed, Al-Dabaa, Tawfik, Al-Jarrah, Salsabeel, Alshannaq, Qutaiba, Alsulaiman, Rima, Audat, Ziad, Bdour, Saja, Khatatbeh, Ro’a, Marji, Fares, Abu Ismail, Dima.Y, Abu-Ismail, Luai, Alzoubi, Mai, Alzoubi, Malak, Hussein, Hasan, Rawashdeh, Shireen, Ababneh, Adnan, Abu-Eisheh, Basil, Al Shurman, Hana’, Al-atiyah, Hussam, Aljaiuossi, Anas, Hamdoni, Sara, Kulimbet, Mukhtar, Sakhov, Orazbek, Fakhradiyev, Ildar, Tanabayeva, Shynar, Zhussupov, Baurzhan, Amrayev, Sultan, Kukubassov, Yerlan, Parker, Robert, Mwaria, Claude, Kibunyi, Muthoni, Mailu, Claire, Osea, Lydia, Hirsi, Omar, Dashti, Mustafa, Aldalal, Shuaib, Alozairi, Ous, Al-Shaiji, Tariq, Alhunaidi, Omar, Aljewaied, Ali, Farag, Ahmed, Termos, Salah, Sivins, Armands, Apse, Ingus Arnolds, Kaminskis, Aleksejs, Pāvulāns, Jānis, Itani, Rania, Owiedat, Mustafa, Antonios, Ingrid, Milan Moussa, Rita, Abdel Sater, Ali H., Souleiman, Bassem, Ghiya, Peter, Fakih, Ghinwa, Tamoos, Khalil, Abdulrahman, Taha, Omar Abunaaja, Hayat, Al Gasi, Abd El Jawad, Al maadany, Faraj, Alsaeiti, Sara, Elkhafeefi, Fatimah, Alhouni, Tarek, Alkeelani, Hana, Alkuwafi, Rauoof, Elbargathe, Osama, Elfadli, Mustafa, Elmahgoub, Asma, Alansari, Arowa hassan abdulrahman, Alhaje, Awatif, Haron, Aaya, Alsuwiyah, Suhir, Khel, Samer, Yousef, Rowaida, Abuhlaiga, Ma’aly, Abushahma, Ahmed omar, Aldelensi Alzubi, Alhosen Saleh M, Alnehum, Mohamed alnaser, Alzedam, Ahmad, Matoug, Faisel, Mohammed, Burooj, Sawalem, Mohamed, Kamoka, Elhusain, Salamah, Abdulrauf, Abdeewi, Saedah, Eshnaf, Mabroka, Yahmad, Mohammad, Aljuroushi, Omar, Attia, Hajer, Emran, Ayyah, Samer, Ashraf, Abdullah, Duha milad, Ben esmael, Esraa, Benmasoud, Fatma, Debri, Laila, Younis, Balkees, Elmabrouk, Amna, Hasan, Ameerah Mahdi Abraheem, Suliaman, Taha, Alawami, Mohammed, Alshareea, Entisar, Aribi, Tomather, Lamari, Amani hamid, Mufth, Mohammed, Aburima, Sarah, Al shukri, Asmaa, Alarabi, Rehab, Alelwany, Aisha, Bashir, Rasha, Elhadi, Ahmed, Elkouba, Esraa, Ellojli, Ibrahim, Elmsherghi, Nabiha, Haidar, Arwa, Helal, Hala, Kriem, Eslam, Turshani, Laila, Alayan, Mohammed, Ben Hasan, Hayat, Shaban Ben Hasan, Najat, Shaban Ben Hasan, Rabab, Dambrauskas, Zilvinas, Dekeryte, Inga, Koženiauskaitė, Akvilė, Maleckas, Almantas, Venclauskas, Linas, Zilinskas, Justas, Syminas, Vilius, Aliosin, Oleg, Cizauskaite, Agne, Jurgaitis, Jonas, Mikutaitis, Vytenis, Samalavicius, Narimantas Evaldas, Slepavicius, Algirdas, Vasiliauskas, Bernardas, Dulskas, Audrius, Cekauskas, Albertas, Gulla, Aiste, Zelvys, Arunas, Noël, Audrey, Rajaonarivony, Maheriandrianina Fanambinana Voahary, Andriantsoa, Herimampionona E, Samison, Luc Hervé, Tsiambanizafy, Guillaume Odilon, Solo, Corinne Eulalie, Safiry Andofenohasina, Fanonjomahasoa, Sablon Herinirina, Angelin, Das, Andre, Osman, Mohd Firdauss, Soh, Jien Yen, Zakaria, Zaidi, Chan, Kheng Hooi, Johan, Syamim, Mah, Jin Jiun, Subramaniam, Sentilnathan, Ibrahim, Mohd Razali, Nazimi, Abd Jabar, Bal, Pavin, Fadzli, Ahmad nazran, Jamaris, Suniza, Lee, Yeong Sing, Lim, Jeffery Zk, Moh Pauzi, Siti Farhan, Nair, Ashvin Krishna, Ng, Doris Sin Wen, Ng We Yong, Yuki Julius, Roslani, April Camilla, Saaid, Rahmah, Sethi, Neha, Syed Jafer Hussain Zaidi, Syeda Nureena, Teoh, Li Ying, Munjih, Islah, Sainal, Mohd Yusof, Sarif, Mat Salleh, Chua, Richelle, Ahmad, Abdul Rauf bin, Lau, Yii Ling, Liew, Ka Yee, Palayan, Kandasami, Abdul Rahman, Noorneza, Firman, Fatin, Hazleigh, Nik Mohd, Mohd Miswan, Mohd Fairudz, Mohd Zahid, Akmal Zulayla, Yahaya, Mohd Yusoff bin Yahaya, Yusoff, Ahmad Ramzi, Darryl, Brincat, Svetlana, Caruana, Clifford, Chircop, Daniel Mario, Czok, Viktoria, Muscat, Esther, Roshan, Mohsin Hassan Khan, Schembri, Nicholas, Jonathan Rubén, Cedillo Rodrìguez, Rojas Aguilar, Antonio, Sosa Duran, Erik Efrain, Arroyo, Diego, Martinez-Said, Hector, Medina-Franco, Heriberto, Pérez de León Vázquez, Martha Patricia, Soto Hernández, Fidel, Stenner, Juan Ignacio, Zuloaga Fernandez del Valle, Carlos Jose, Colunga Tinajero, Carlos Andres, Yanowsky-Reyes, Guillermo, Camacho Gomez, Aldo, Cueva-Martinez, Esteban, Durán Anguiano, Oscar, García Castillo, Miguel, Gonzalez Ojeda, Alejandro, González-García de Rojas, Erick Alonso, Guzman Barba, Jose Aldo, Ibarrola Peña, Juan Carlos, Íñiguez Martínez, César, Llamas- Macias, Francisco Javier, Ambriz Gonzalez, Gabriela, Morales valencia, Eduardo, Santos, Blanca, Torres Cisneros, Juan Roberto, Bozada-Gutiérrez, Katya, Alvarez, Maria Regina, de la Rosa Abaroa, Marco Antonio, Hernandez, Roberto, Bernardo, Anaya, Ernesto, Arceo-Olaiz, Ricardo, Lopez Flores, Sonia, Esparza Arias, Nereida, Romero Bañuelos, Esmeralda, Salcedo-Hernández, Rosa, Buerba, Gabriela Alejandra, Chan, Carlos, Garay Lechuga, Daniel, Hinojosa, Carlos, Mercado, Miguel Ángel, Peña Gómez Portugal, Emmanuel, Posadas-Trujillo, Oscar Emmanuel, Hernandez Skewes, Karla Yareli, Licona-Meníndez, Roque Delfino, Romero Lechuga, Fernanda, Roque, Oscar, Núñez-González, Roberto Ángel, Alvarez Manilla Orendain, Alfonso, Garcia, Felipe, González León, Juan Antonio, Guzman, Marlin, Herappe, Dorihela, Lerma, Ricardo, Mendoza Pedraza, Fabián Hilario, Noguez Castillo, Monica, Resendiz, Jose Anatolio, Fernandez Rios, Laura Elena, Frigerio, Pamela, Garcia, Iset, Mendoza Frías, Gloria Isela, Anzures Mendoza, Alejandra, Hdez Miguelena, Luis, Zarate Saenz, David, Zavala gonzalez, Miguel angel, Andrade González, Francisco, Cortes, Ludivina, Gurghiș, Radu, Sanjaa, Burmaa, Ait benhamou, Rita, Rghioui, Mounir, Saaf, Sarra, Letrache, Ahmed, Zekhnini, Meryem, Abichou, Wijden, Baroudi, Salma, Hassoun, Chiraz, Zaim, Ouijdane, Arkha, Yasser, Bechri, Hajar, Benchekroun Belabbes, Meryem, Benslimane, Zaineb, Boualila, Lina, El Ouahabi, Abdessamad, Essakalli Hossyni, Leila, Tagmouti, Adam, Belkhadir, Zakaria Houssaïn, Benkabbou, Amine, Boutayeb, Saber, El Ahmadi, Brahim, Ghannam, Abdelilah, Kabbaj, Taha, Majbar, Anass Mohammed, Ndayishyigikiye, Marcel Didier, Ndatewapo, Fillipus, Njuki, Peter Ngungi, Abrahams, Jenevive, Bhusal, Subarna, Dwa, Yam, Bloemers, Frank, Besselink, Marc, van Amstel, Paul, Smeele, Ludi, Harlaar, Niels, van der Burg, Sjirk, Noltes, Milou, Steinkamp, Pieter, Franken, Josephine, Oosterling, Steven, Nolte, Peter, Alwayn, Ian, Braat, Andries, Goudsmit, Ben, van de Leemkolk, Fenna E.M., Albers, Kim, Van Goor, Harry, van Ginhoven, Tessa M., Schweitzer, Donald, Leclercq, Wouter, Vancoillie, Peter-Jan, Konsten, Joop, den Boer, Frank, Djamali, Kaveh, Ghamri, Naji, Joseph, Reece, Lie, Samuel, Olliff, Sue, Wood, Daniel, Furkert, Chris, Teague, Rebecca, Lim, Eric, Mclauchlan, Jared, Ailabouni, Ramez, Alqassab, Mohammed, Hawkins, Robyn, Baker, Joseph, Ou, Cindy Xin Yi, Singh, Vidit, Frunt, Brytt, Lakshman, Prashant, Henderson, Nigel, Ha, Jeong, Haimona, Maira, Jury, Steffanie, Weeratunga, George, Witcomb Cahill, Henry, Abdussalam, Hameedat Opeyemi, Ahmed, Aminat Olayinka, Adeyeye, Ademola, Kayode-Nissi, Victor, Kadiri, Innih, Oduah, Stella, Olaogun, Julius, Abdull, Mohammed, Abdullahi, Mohammed Kabir, Ja’afar, Abubakar Bappah, Ja’afaru, Umma Hani, Yakubu Mohammed, Husseini, Edetanlen, Ekaniyere, Iribhogbe, Oseihie, Irowa, Omorodion, Nwashilli, Nnamdi, Obahiagbon, Osarobo, Onyeagwara, Ngozi, Oseghale, Eustace, Osemwegie, Osarenkhoe, Osho, Philip, Akanni, Bolaji, Ezomike, Uchechukwu, Okoro, Kelechukwu, Okwara, Blasius, Abdulsalam, Khalifa, Agida, Eyaofun, Ajibola, Hafees, Benard, Adeka, Buba, Amina, Eniola, Sefiu, Isah, Aliyu, Olute, Anne, Osagie, Olabisi, Pius Ogolekwu, Idoko, Ademola, Samuel, Afuwape, Oludolapo, Daodu, Israel, Egbuchulem, Ifeanyichukwu Kelvin, Lawal, Taiwo Akeem, Nwaorgu, Onyekwere, Obadan, Izegaegbe, Odeyemi, Olubunmi, Ogundoyin, Omowonuola, Okere, Oghenekevwe, Oladiran, Ajibola, Olagunju, Naomi, Olawoye, Olayinka, Olusanya, Adeola, Oyelakin, Oyeleye, Ugwu, Ebere, Ademuyiwa, Adesoji, Atoyebi, Oluwole, Bode, Chris, Chibuike George, Ihediwa, Ezenwankwo, Francis, Fatuga, Adedeji, Ladipo-Ajayi, Oluwaseun, Ojewola, Rufus Wale, Okunowo, Adeyemi, Seyi-Olajide, Justina, Ugwu, Aloy Okechukwu, Adebara, Idowu, Adeyemo, Olabisi, Banjo, Oluseyi, Obateru, John, Ojo, Owolabi, Okunlola, Abiodun, Oluwafemi, Fatudimu, Adelaja, Aderinsola, Atobatele, Kazeem, Ayodele, Olabamidele, Bello, Funmi, Omisanjo, Olufunmilade, Aderounmu, Adewale, Adisa, Adewale, Ajekwu, Temitope, Ajekwu, Samuel, Akeem Aderogba, Adeleke, Balogun, Simon, Ojo, Olugbenga, Olasehinde, Olalekan, Olugbami, Adebayo, Wuraola, Funmilola, Mohammed, Tajudeen, Afolabi, Abdulrahman O., Aremu, Isiaka, Ibraheem, Gbadebo, Odeyemi, Peter Olalekan, Olabinjo, Afusat, Raji, Hadijat Olaide, Salawu, Hafeez, Uche-Okonkwo, Kenechukwu, Anipole, Olalekan, Adesina, Oluwaseyi, Enwerem, Kenneth, Isichei, Mercy, Aghadi, Ifeanyi, Kache, Stephen, Lawal, Jamila, Taingson, Matthew, Yusuf, Nuhu, Sale, Danjuma, Takai, Idris Usman, Aji, Sani Ali, Anyanwu, Lofty-John, Bello-Muhammad, Nafisatu, Garzali, Ibrahim Umar, Hasheem, Muhammad Ghazali, Hassan, Sadiq, Ibrahim Usman, Mustapha, Magashi, Mahmoud Kawu, Mukhtar, Ibrahim Aliyu, Nwachukwu, Callistus, Suleiman, Ibrahim, A, Maryam, Mahmood, Farrukh, Salihu, Mohammed, Okereke, Chukwuma, Alegbeleye, Justina Omoikhefe, Awopeju, Abimbola, Fyneface-Ogan, Sotonye, Kasso, Terhemen, Onwuagha, Ijeoma, Salami, Babatunde, Ajagha, Okeoghene, Awaisu, Mudi, Nwabuoku, Stanley Emeka, Oyelowo, Nasir, Tolani, Musliu Adetola, Filipce, Venko, Rendevski, Vladimir, Shuntov, Blagoj, Todorovic, Lazar, Jovanovska, Katerina, Nikolovska, Bisera, Peev, Igor, Asha, Al Amri, Ayman, Al Badaai, Ghalib, Al Balushi, Zainab, Al Farsi, Maather, Al HOSNI, Mohammed, Al Kalbani, Moza, Al Riyami, Nihal, Al shaibi, Maha, Al-Mujaini, Abdullah, AlBusaidi, Hanadi, Alwashahi, Mohammed, Alzadjali, Adil, Dalmar, Khadija, Dawud, Bashar, Gargouri, Mohamed Mourad, Laghari, Farman Ali, Manjunatha, attibele Palaksha, Mathew, Joseph Kunju, Muzaffar, Rahil, Naiya, Hafsa Ismail Ibrahim, Pillai, Silja, Rahim, Ferdous, Stephen, Edwin, Younas, Shahzad, Fatima, Mishal, Javed, Ayesha, Shakir, Fatima Tuz Zahra, Siddiqui, Riaz Hussain, Sultan, Rizwan, Syed, Danish, Ur Rehman, Ishtiaq, Warraich, Shahrukh, Amir, Mohammed, Asghar, Saleha yurf, Haider Bangash, Ali, Ahmed, Arooj, Ansar, Mehwish, Arslan, Muhammad, Ashraf, Sumaira, Irshad, Abeer, Khan, Farheen, Shami, Dr Ali, Ul Haq, M Burhan, Waqar, Shahzad Hussain, Ahmed, Shahnoor, Ahsan, Kunwar Armash, Akhund, Ramsha, Chishti, Uzma, Haroon, Waqqas, Kassam, Nausheen, Kazmi, Abbas, Khan, Muhammad Osama, Kumari, Sameeta, Malik, Muhammad Jehangir, Mansoor, Maheen, Mubarik, Areeba, Naz, Falak, Qamar, Javeria Bilal, Sadia, Haleema, Safri, Mohammad, Sattar, abida K., Siddiqui, Muhammad Ahsan Iqbal, Waqar, Usama, Kerawala, Asad Ali, Ghufran, Muhammad Ali, Memon, Amjad Siraj, Rai, Lajpat, Samo, Khursheed Ahmed, Aswani, Manisha, Manzoor, Shahneela, Muhammad, Shoaib, Moin, Inshrah, Najjad, Muhammad Kazim Rahim, Zia, Kashif, Ali Shaikh, Shafqat, Ayub, Bushra, Hussaini, Dr, Kamal, Wajahat, Mughal, Zeeshan Uddin, Nadeem, Areeba, Nayyer, Fatima, Nisa, Kanwal, Rauf, Yaseen, Saleem, Shah Masabat, Sayyed, Raza, Shah, Aaqil, Siddiqui, Safia, Tariq, Nida, Zamir, Mehroz, Arif, Hafiz Muhammad, Ahmed, Ehsan, Ahmed, Jawad, Akbar, Bilal, Ali, Abrar Ashraf, Iqbal, Zafar, Jameel, Muhammad Khurram, Janjua, Muhammad Haris, Janjua, Azwa, Naqi, Syed Asghar, Naumeri, Fatima, Nazir, Umer, Rafi, Yaseen, Saleem, Irfan, Shaukat, Ayesha, Sikandar, Hafiz Saqib, Tu zahara, Fatima, Ali, Ahsan, Jawad, Muhammad, Noman, Hamza, Taha, Dr Hassan, Raana, Dr. Gul e, Qadir, Muhammad Ghulam, Ali, Imran, Asjad, Muhammad, Ayyaz, Mahmood, Bajwa, Luqman Ali, Bhatti, Samiullah, Butt, Usman, Chishti, Muhammad Haris, Hassan, Muhammad, Hassan, Usman, Hayat, Khizar, Khan, Rohma, Latif, Usman, Majeed, Faizan, Malik, Kiren, Nabi, Muhammad shoaib, Sadiq, Muhammad Hamza, Saeed, Komal, Sarfraz, Kiran, Sohail, Rubina, Syed muhammad, Bilal, Umair, Usama, Wasim, Shafqat, Wasim, Tayyiba, Imran Anwar, Muhammad, Ali, Ammar, Aslam, Muhammad, Sher e Murtaza, Muhammad, Farooq, Umer, Ahmad, Siddique, Faizi, Fouzia, Khan, Hamza, Mabood, Waleed, Akhtar, Muhammad Shaheer, Amin, Hasbi Allah, Ayub, Bakhtawar, Basir, Muhammad, Gul, Hina, Khan, Muhammad faisal, Moeen, Aiman, Mohmand, Obaid, Rahim, Rehana, Shafqat, Tanveer, Ur Rehman, Shams, Daud, Mashal, Abid, Rubaba, Farkhanda, Tallat, Malik, Sobia, Salim, Ruqyyah, Shaheen, Aneela, Ahmed, Faryal, Amjid, Zarafshan, Ishtiaq, Daniyal, Javed, Saad, Nagra, Ramisha Naseer, Saleem, Maleeha, Saleem, Bushra, Shabbir, Raja Khalid, Yaqoob, Eesha, Shaheen, Azka, Awad, Hadeel, Wafi, Dalia, Al-Slaibi, Ibrahim, I. 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Charles, Rossano, Ayane, Trust, Marc, Bigelow, Benjamin, Jain, Amit, Yesantharao, Lekha, Zhang, Bo, Abdou, Hossam, Mazzeffi, Michael, Rock, Peter, Afshar, Salim, Carlson, Laura, Incorvia, Joseph, Kurtz, Michael, Meara, John G., Nathan, Meena, Taghinia, Amir, Williams, Vivian, Cooper, Zara, Mahvi, David, Okafor, Barbara, Roxo, Vanessa, Burks, Ciersten, Jabbour, Nicolette, Sabra, Joseph, Wason, Shaun, Dorken Gallastegi, Ander, Gebran, Anthony, McTague, Michael, Reinke, Caroline, Ross, Samuel, Alvarado, Rosalinda, Bhama, Anuradha, Govekar, Henry, Kokosis, George, Millikan, Keith, Myers, Jonathan, Pappas, Sam, Siparsky, Nicole, Tsambarlis, Peter, Quillin, Ralph, Ekrami, Elyad, Kai, Li, Decker, Cassie, Aoun, Salah, Kwon, David, Barbas, Andrew, Dotters-Katz, Sarah K., Ellett, Tressa, Flamant, Etienne, Lazarides, Alexander, Refaat, Motasem, Soderlund, Torre, Velasquez, Camilo, Arrangoiz, Rodrigo, Mijares Olivo, Maria Fernanda, Vasudevan, Vanitha, Katz, Matthew, Nguyen, Huan, Pieretti, Alberto, Roland, Christina L, Baral, Perel, Beahm, D. David, Carver, Shea, Guidry, Christopher A., Hedlund, Megan, Kumer, Sean, Larson, Kelsey E, Urich, Alissa, Rosenkranz, Kari, Bhavaraju, Avi, Kalkwarf, Kyle, Hua-Feng, Lien, Juillard, Catherine, Tillou, Areti, Mouw, Tyler, Dunn, Julie, Wyatt, Thomas, Aiken, Taylor, Foley, Eugene, Zafar, Syed Nabeel, Lewit, Ruth A., Cioci, Alessia, Goel, Neha, Kronenfeld, Joshua, Rattan, Rishi, LaRocca, Christopher J., Ramaswamy, Archana, Mattson, Jordan, Vogel, Rachel, Bethurum, Alva, Bhalla, Rohan, Bichell, David, Bonfield, Christopher, Dewan, Michael, Ghani, Muhammad Owais Abdul, Hawkins, Alexander, Khan, Aimal, Kynes, J. Matthew, Ruzgar, Nensi Melissa, Alqunaibit, Dalia, Liveris, Anna, McNelis, John, Goldstein, Carma, Nguyen, Anh, Rattigan, Deviney, Solar, Sara, Tsui, Grace, Gaitanidis, Apostolos, Fitzmaurice, Laura, Jutric, Zeljka, Tay Lasso, Erika Linmey, Yamamoto, Maki, Meola, Antonio, Holena, Daniel, Imran, Jonathan, Lorenzi, Cara, Huckaby, Lauren, Hamandi, Mohanad, Lanfear, Allison T., Squiers, John, Behm, Kevin, Boughey, Judy, Reisenauer, Janani, Shawki, Sherief, Wigle, Dennis, Elshabrawy, Ahmed, Mansour, Ahmed, Todd, Grace Ihsiu, Yan, Qi, Curry, Terry, Abel, Mary Kathryn, Andaya, Veronica, Boeck, Marissa, Chen, Lee-may, Compadre, Amanda, Ha, Patrick, Kratz, Johannes R, Lane, Rondall, Lee, Rex H, Ozgediz, Doruk, Varma, Madhulika, Zimel, Melissa, Escobar, Pedro, Azam, Mohammad, Hammond, Eric, Marx, William, Angel, Carol, Seegert, Sara, Stanek, Stephen, Sumra, Hibba, Fischer, Anne, Henry, Jaymie, Lottenberg, Lawrence, Kelly, John, Scott, Erin, Bonilla Cal, Fernando, Haro, Camila, Álvarez, Sofia, Carbajal, Ana Carmen, PereiraNuñez, Diego, Tarigo, Josefina, Al-saban, Rafat, Al-Eryani, Fatima, Reem, Al sanany, Ghadeer, Al-jarmozi, Buthina, Al-ameri, Saba, Al-Shehari, Mohammed, Al-surimi, Dhyia Alhuq, Alakhdury, Amira, ALhumaida, Adnan, Aljabri, Maniee, ALodine, Marwa, Alqudaimi, Basma, Alsabri, Mohammed, Alsayadi, Musaed, Atiah, Nora, Sayad, Shaima, Shukri, Amal, Zeid, Shahd, Abdullah, Nabila, Al-Garadi, Abdulrahman Faisal, Ali Al-Radhi, Ahmed M., Naji, Norhan, Al-madhrahi, Ahmed, Al-maswari, Sakhr Abdulhakeem, Al-Raimi, Ibrahim, Alshargabi, Haneen, Mkandawire, Catherine, Nkole, Theresa, Chivanga, Shelton, Dube, Handsome, Mangena, Moses, Moyo, Nkosikhona, Tshuma, Oltah, Gwini, Grace, Moyana Muguto, Vimbai, Mushawarima, Trust, Shoko, Tinashe, Siamuchembu, Maphios, Jamela, Rorisang, Machiri, Marvellous, Mushiwokufa, Willard, Chimhina, Maxwell, Chinyowa, Simbarashe, Glasbey, James, Ademuyiwa, Adesoji, Adisa, Adewale, AlAmeer, Ehab, Arnaud, Alexis P, Ayasra, Faris, Azevedo, José, 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Kaur, T, Kawesha, A, Kisiel, A, Woodmass, M, Adelowo, T, Ahari, D, Alhwaishel, K, Atherton, R, Clayton, B, Cockroft, A, Curtis Lopez, C, Hilton, M, Ismail, N, Kouadria, M, Lee, L, MacConnachie, A, Monks, F, Mungroo, S, Nikoletopoulou, C, Pearce, L, Sara, X, Shahid, A, Suresh, G, Wilcha, R, Atiyah, A, Davies, E, Dermanis, A, Gibbons, H, Hyde, A, Lawson, A, Lee, C, Leung-Tack, M, Li Saw Hee, J, Mostafa, O, Nair, D, Pattani, N, Plumbley-Jones, J, Pufal, K, Ramesh, P, Sanghera, J, Saram, S, Scadding, S, See, S, Stringer, H, Torrance, A, Vardon, H, Wyn-Griffiths, F, Brew, A, Kaur, G, Soni, D, Tickle, A, Akbar, Z, Appleyard, T, Figg, K, Jayawardena, P, Johnson, A, Kamran Siddiqui, Z, Lacy-Colson, J, Oatham, R, Rowlands, B, Sludden, E, Turnbull, C, Allin, D, Ansar, Z, Azeez, Z, Dale, VH, Garg, J, Horner, A, Jones, S, Knight, S, McGregor, C, McKenna, J, McLelland, T, Packham-Smith, A, Rowsell, K, Spector-Hill, I, Adeniken, E, Baker, J, Bartlett, M, Chikomba, L, Connell, B, Deekonda, P, Dhar, M, Elmansouri, A, Gamage, K, Goodhew, R, Hanna, P, Knight, J, Luca, A, Maasoumi, N, Mahamoud, F, Manji, S, Marwaha, PK, Mason, F, Oluboyede, A, Pigott, L, Razaq, AM, Richardson, M, Saddaoui, I, Wijeyendram, P, Yau, S, Atkins, W, Liang, K, Miles, N, Praveen, B, Ashai, S, Braganza, J, Common, J, Cundy, A, Davies, R, Guthrie, J, Handa, I, Iqbal, M, Ismail, R, Jones, C, Jones, I, Lee, KS, Levene, A, Okocha, M, Olivier, J, Smith, A, Subramaniam, E, Tandle, S, Wang, A, Watson, A, Wilson, C, Chan, XHF, Khoo, E, Montgomery, C, Norris, M, Pugalenthi, PP, Common, T, Cook, E, Mistry, H, Shinmar, HS, Agarwal, G, Bandyopadhyay, S, Brazier, B, Carroll, L, Goede, A, Harbourne, A, Lakhani, A, Lami, M, Larwood, J, Martin, J, Merchant, J, Pattenden, S, Pradhan, A, Raafat, N, Rothwell, E, Shammoon, Y, Sudarshan, R, Vickers, E, Wingfield, L, Ashworth, I, Azizi, S, Bhate, R, Chowdhury, T, Christou, A, Davies, L, Dwaraknath, M, Farah, Y, Garner, J, Gureviciute, E, Hart, E, Jain, A, Javid, S, Kankam, HK, Kaur Toor, P, Kaz, R, Kermali, M, Khan, I, Mattson, A, McManus, A, Murphy, M, Nair, K, Ngemoh, D, Norton, E, Olabiran, A, Parry, L, Payne, T, Pillai, K, Price, S, Punjabi, K, Raghunathan, A, Ramwell, A, Raza, M, Ritehnia, J, Simpson, G, Smith, W, Sodeinde, S, Studd, L, Subramaniam, M, Thomas, J, Towey, S, Tsang, E, Tuteja, D, Vasani, J, Vio, M, Badran, A, Adams, J, Anthony Wilkinson, J, Asvandi, S, Austin, T, Bald, A, Bix, E, Carrick, M, Chander, B, Chowdhury, S, Cooper Drake, B, Crosbie, S, D Portela, S, Francis, D, Gallagher, C, Gillespie, R, Gravett, H, Gupta, P, Ilyas, C, James, G, Johny, J, Jones, A, Kinder, F, MacLeod, C, Macrow, C, Maqsood-Shah, A, Mather, J, McCann, L, McMahon, R, Mitham, E, Mohamed, M, Munton, E, Nightingale, K, O‚ÄôNeill, K, Onyemuchara, I, Senior, R, Shanahan, A, Sherlock, J, Spyridoulias, A, Stavrou, C, Stokes, D, Tamang, R, Taylor, E, Trafford, C, Uden, C, Waddington, C, Yassin, D, Zaman, M, Bangi, S, Cheng, T, Chew, D, Hussain, N, Imani-Masouleh, S, Mahasivam, G, McKnight, G, Ng, HL, Ota, HC, Pasha, T, Ravindran, W, Shah, K, Vishnu K, S, Zaman, S, Carr, W, Cope, S, Eagles, EJ, Howarth-Maddison, M, Li, CY, Reed, J, Ridge, A, Stubbs, T, Teasdaled, D, Umar, R, Worthington, J, Dhebri, A, Kalenderov, R, Alattas, A, Arain, Z, Bhudia, R, Chia, D, Daniel, S, Dar, T, Garland, H, Girish, M, Hampson, A, Kyriacou, H, Lehovsky, K, Mullins, W, Omorphos, N, Vasdev, N, Venkatesh, A, Waldock, W, Bhandari, A, Brown, G, Choa, G, Eichenauer, CE, Ezennia, K, Kidwai, Z, Lloyd-Thomas, A, Macaskill Stewart, A, Massardi, C, Sinclair, E, Skajaa, N, Smith, M, Tan, I, Afsheen, N, Anuar, A, Azam, Z, Bhatia, P, Davies-kelly, N, Dickinson, S, Elkawafi, M, Ganapathy, M, Gupta, S, Khoury, EG, Licudi, D, Mehta, V, Neequaye, S, Nita, G, Tay, VL, Zhao, S, Botsa, E, Cuthbert, H, Elliott, J, Furlepa, M, Lehmann, J, Mangtani, A, Narayan, A, Nazarian, S, Parmar, C, Shah, D, Shaw, C, Zhao, Z, Beck, C, Caldwell, S, Clements, JM, French, B, Kenny, R, Kirk, S, Lindsay, J, McClung, A, McLaughlin, N, Watson, S, Whiteside, E, Alyacoubi, S, Arumugam, V, Beg, R, Dawas, K, Garg, S, Lloyd, ER, Mahfouz, Y, Manobharath, N, Moonesinghe, R, Morka, N, Patel, K, Prashar, J, Yip, S, Adeeko, ES, Ajekigbe, F, Bhat, A, Evans, C, Farrugia, A, Gurung, C, Long, T, Malik, B, Manirajan, S, Newport, D, Rayer, J, Ridha, A, Ross, E, Saran, T, Sinker, A, Waruingi, D, Allen, R, Al Sadek, Y, Alves do Canto Brum, H, Asharaf, H, Ashman, M, Balakumar, V, Barrington, J, Baskaran, R, Berry, A, Bhachoo, H, Bilal, A, Boaden, L, Chia, WL, Covell, G, Crook, D, Dadnam, F, Davis, L, De Berker, H, Doyle, C, Fox, C, Gruffydd-Davies, M, Hafouda, Y, Hill, A, Hubbard, E, Hunter, A, Inpadhas, V, Jamshaid, M, Jandu, G, Jeyanthi, M, Jones, T, Kantor, C, Kwak, SY, Malik, N, Matt, R, McNulty, P, Miles, C, Mohomed, A, Myat, P, Niharika, J, Nixon, A, O‚ÄôReilly, D, Parmar, K, Pengelly, S, Price, L, Ramsden, M, Turnor, R, Wales, E, Waring, H, Wu, M, Yang, T, Ye, TTS, Zander, A, Zeicu, C, Bellam, S, Francombe, J, Kawamoto, N, Rahman, MR, Sathyanarayana, A, Tang, HT, Cheung, J, Hollingshead, J, Page, V, Sugarman, J, Wong, E, Chiong, J, Fung, E, Kan, SY, Kiang, J, Kok, J, Krahelski, O, Liew, MY, Lyell, B, Sharif, Z, Speake, D, Alim, L, Amakye, NY, Chandrasekaran, J, Chandratreya, N, Drake, J, Owoso, T, Thu, YM, Abou El Ela Bourquin, B, Alberts, J, Chapman, D, Rehnnuma, N, Ainsworth, K, Carpenter, H, Emmanuel, T, Fisher, T, Gabrel, M, Guan, Z, Hollows, S, Hotouras, A, Ip Fung Chun, N, Jaffer, S, Kallikas, G, Kennedy, N, Lewinsohn, B, Liu, FY, Mohammed, S, Rutherfurd, A, Situ, T, Stammer, A, Taylor, F, Thin, N, Urgesi, E, Zhang, N, Ahmad, MA, Bishop, A, Bowes, A, Dixit, A, Glasson, R, Hatta, S, Hatt, K, Larcombe, S, Preece, J, Riordan, E, Fegredo, D, Haq, MZ, Li, C, McCann, G, Stewart, D, Baraza, W, Bhullar, D, Burt, G, Coyle, J, Deans, J, Devine, A, Hird, R, Ikotun, O, Manchip, G, Ross, C, Storey, L, Tan, WWL, Tse, C, Warner, C, Whitehead, M, Wu, F, Court, EL, Crisp, E, Huttman, M, Mayes, F, Robertson, H, Rosen, H, Sandberg, C, Smith, H, Al Bakry, M, Ashwell, W, Bajaj, S, Bandyopadhyay, D, Browlee, O, Burway, S, Chand, CP, Elsayeh, K, Elsharkawi, A, Evans, E, Ferrin, S, Fort-Schaale, A, Iacob, M, I, K, Impelliziere Licastro, G, Mankoo, AS, Olaniyan, T, Otun, J, Pereira, R, Reddy, R, Saeed, D, Simmonds, O, Singhal, G, Tron, K, Wickstone, C, Williams, R, Bradshaw, E, De Kock Jewell, V, Houlden, C, Knight, C, Metezai, H, Mirza-Davies, A, Seymour, Z, Spink, D, and Wischhusen, S
Abstract: Pulmonary complications are the most common cause of death after surgery. This study aimed to derive and externally validate a novel prognostic model that can be used before elective surgery to estimate the risk of postoperative pulmonary complications and to support resource allocation and prioritisation during pandemic recovery.
Published: 2024
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25. Acid-base and lipophilic properties of peptide nucleic acid derivatives

Author: Pramod Thakare, Francesca Vasile, Maura Vallaro, Sonja Visentin, Giulia Caron, Emanuela Licandro, and Silvia Cauteruccio
Subjects: Peptide nucleic acids, Ionization properties, Potentiometric pH titration, Immobilized artificial membrane chromatography, Lipophilicity, Therapeutics. Pharmacology, RM1-950
Abstract: The first combined experimental and theoretical study on the ionization and lipophilic properties of peptide nucleic acid (PNA) derivatives, including eleven PNA monomers and two PNA decamers, is described. The acidity constants (pKa) of individual acidic and basic centers of PNA monomers were measured by automated potentiometric pH titrations in water/methanol solution, and these values were found to be in agreement with those obtained by MoKa software. These results indicate that single nucleobases do not change their pKa values when included in PNA monomers and oligomers. In addition, immobilized artificial membrane chromatography was employed to evaluate the lipophilic properties of PNA monomers and oligomers, which showed the PNA derivatives had poor affinity towards membrane phospholipids, and confirmed their scarce cell penetrating ability. Overall, our study not only is of potential relevance to evaluate the pharmacokinetic properties of PNA, but also constitutes a reliable basis to properly modify PNA to obtain mimics with enhanced cell penetration properties.
Published: 2021
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26. Acid-base and lipophilic properties of peptide nucleic acid derivatives

Author: Thakare, Pramod, Vasile, Francesca, Vallaro, Maura, Visentin, Sonja, Caron, Giulia, Licandro, Emanuela, and Cauteruccio, Silvia
Published: 2021
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27. A Comprehensive Statistical Description of Radio-Through-$\gamma$-Ray Spectral Energy Distributions of All Known Blazars

Author: Mao, Peiyuan, Urry, C. Megan, Massaro, Francesco, Paggi, Alessandro, Cauteruccio, Joe, and Künzel, Soren R.
Subjects: Astrophysics - Astrophysics of Galaxies, Astrophysics - High Energy Astrophysical Phenomena
Abstract: We combined multi-wavelength data for blazars from the Roma-BZCAT catalog and analyzed hundreds of X-ray spectra. We present the fluxes and Spectral Energy Distributions (SEDs), in 12 frequency bands from radio to $\gamma$-rays, for a final sample of 2214 blazars. Using a model-independent statistical approach, we looked for systematic trends in the SEDs; the most significant trends involved the radio luminosities and X-ray spectral indices of the blazars. We used a Principal Component Analysis (PCA), to determine the basis vectors of the blazar SEDs and, in order to maximize the size of the sample, imputed missing fluxes using the K-nearest neighbors method. Using more than an order of magnitude more data than was available when Fossati et al. (1997, 1998) first reported trends of SED shape with blazar luminosity, we confirmed the anti-correlation between radio luminosity and synchrotron peak frequency, although with greater scatter than was seen in the smaller sample. The same trend can be seen between bolometric luminosity and synchrotron peak frequency. Finally, we used all available blazar data to determine an empirical SED description that depends only on the radio luminosity at 1.4~GHz and the redshift. We verified that this statistically significant relation was not a result of the luminosity-luminosity correlations that are natural in flux-limited samples (i.e., where the correlation is actually caused by the redshift rather than the luminosity)., Comment: Submitted and accepted by ApJS on Apr 11th, 2016
Published: 2016
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28. A framework for anomaly detection and classification in Multiple IoT scenarios

Author: Cauteruccio, Francesco, Cinelli, Luca, Corradini, Enrico, Terracina, Giorgio, Ursino, Domenico, Virgili, Luca, Savaglio, Claudio, Liotta, Antonio, and Fortino, Giancarlo
Published: 2021
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29. Long-Term High Flow Nasal Cannula Therapy in Primary and Secondary Bronchiectasis

Author: Francesca Simioli, Giuseppe Fiorentino, Rosa Cauteruccio, Antonietta Coppola, Pasquale Imitazione, Antonella Marotta, Valentina Di Spirito, and Anna Annunziata
Subjects: rehabilitation, cystic fibrosis, heated and humidified therapy, mucus, COPD, Medicine
Abstract: Background: Bronchiectasis is the consequence of chronic bronchial inflammation, inappropriate mucus clearance, bacterial colonization, and recurrent or chronic infection. High flow therapy (HFT) is a type of non-invasive respiratory therapy, usually delivered through a nasal cannula interface (HFNC). It delivers heated and humidified air with a stable fraction of inspired oxygen and a wide range of possible flow rates. Aim of the study: Determine the effectiveness of HFNC as add-on therapy in adult primary and secondary bronchiectasis with frequent acute exacerbations (AEs) and/or hospitalizations. Methods: This is a single-center crossover study on long-term home therapy with HFNC in adult bronchiectasis. Pharmacological therapy included pulse therapy with mucolytics and bronchodilators. After one year, all patients were switched to additional HFNC. The temperature range was 31–37 °C. The flow range was 35–60 L/m. FiO2 was 0.21. Results: Seventy-eight patients completed the follow-up; 54% were females; the median age was 70 years (IQR 60–76). The etiology of bronchiectasis was mainly post-infective (51%), COPD related (26%), and congenital (11%). AEs at baseline were 2.81 (±2.15). A significant reduction in AEs was observed after 24 months with a mean of 0.45 (±0.66) (f-ratio value 79.703. p-value < 0.00001). No significant difference was observed after HFNC therapy on FEV1 (2.39 ± 0.87 vs. 2.55 ± 0.82; f-ratio 0.79. p-value 0.45) and FVC (2.73 ± 0.88 vs. 2.84 ± 0.90; f-ratio 0.411. p-value 0.66). A significant reduction in mMRC score was observed after HFNC therapy (2.40 ± 0.81 vs. 0.97 ± 0.97 at 2 months vs. 0.60 ± 0.78 at 24 months; f-ratio value 95.512. p-value < 0.00001). Conclusions: HFNC is a well-tolerated add-on therapy for adult bronchiectasis. Dyspnea improved after 2 months and further after 2 years. The exacerbation rate decreased during the 2 years follow-up. No significant difference was observed in lung function.
Published: 2023
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30. Performing Wash Trading on NFTs: Is the Game Worth the Candle?

Author: Gianluca Bonifazi, Francesco Cauteruccio, Enrico Corradini, Michele Marchetti, Daniele Montella, Simone Scarponi, Domenico Ursino, and Luca Virgili
Subjects: wash trading, NFTs, correlation, causality, distance, blockchain, Technology
Abstract: Wash trading is considered a highly inopportune and illegal behavior in regulated markets. Instead, it is practiced in unregulated markets, such as cryptocurrency or NFT (Non-Fungible Tokens) markets. Regarding the latter, in the past many researchers have been interested in this phenomenon from an “ex-ante” perspective, aiming to identify and classify wash trading activities before or at the exact time they happen. In this paper, we want to investigate the phenomenon of wash trading in the NFT market from a completely different perspective, namely “ex-post”. Our ultimate goal is to analyze wash trading activities in the past to understand whether the game is worth the candle, i.e., whether these illicit activities actually lead to a significant profit for their perpetrators. To the best of our knowledge, this is the first paper in the literature that attempts to answer this question in a “structured” way. The efforts to answer this question have enabled us to make some additional contributions to the literature in this research area. They are: (i) a framework to support future “ex-post” analyses of the NFT wash trading phenomenon; (ii) a new dataset on wash trading transactions involving NFTs that can support further future investigations of this phenomenon; (iii) a set of insights of the NFT wash trading phenomenon extracted at the end of an experimental campaign.
Published: 2023
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31. Bipolar Electrochemical Analysis of Chirality in Complex Media through Miniaturized Stereoselective Light-Emitting Systems

Author: Silvia Cauteruccio, Valentina Pelliccioli, Sara Grecchi, Roberto Cirilli, Emanuela Licandro, and Serena Arnaboldi
Subjects: helical chirality, bipolar electrochemistry, light emitting devices, chiral contaminants, enantioselectivity, Biochemistry, QD415-436
Abstract: Environmentally relevant contaminants endowed with chirality may include pharmaceutical compounds, flame retardants, perfluoroalkyl chemicals, pesticides, and polychlorinated biphenyls. Despite having similar physicochemical properties, enantiomers may differ in their biochemical interactions with enzymes, receptors, and other chiral molecules leading to different biological responses. In this work, we have designed a wireless miniaturized stereoselective light-emitting system able to qualitatively detect a chiral contaminant (3,4-dihydroxyphenylalanine, DOPA) dissolved in reduced volumes (in the microliters range), through bipolar electrochemistry. The diastereomeric environment was created by mixing the enantiomers of an inherently chiral inductor endowed with helical shape (7,8-dipropyltetrathia[7]helicene) and the chiral probe (DOPA) in micro-solutions of a commercial ionic liquid. The synergy between the inductor, the applied electric field, and the chiral pollutant was transduced by the light emission produced from a miniaturized light-emitting diode (LED) exploited in such an approach as a bipolar electrode.
Published: 2023
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32. The role of citizen science in assessing the spatiotemporal pattern of rainfall events in urban areas: a case study in the city of Genoa, Italy.

Author: Loglisci, Nicola, Boni, Giorgio, Cauteruccio, Arianna, Faccini, Francesco, Milelli, Massimo, Paliaga, Guido, and Parodi, Antonio
Subjects: RADAR meteorology, EXTREME weather, PRECIPITATION variability, RAINFALL, ATMOSPHERIC temperature, RAIN gauges
Abstract: Climate change in the Mediterranean region is manifesting itself as an increase in average air temperature and a change in the rainfall regime: the value of cumulative annual rainfall generally appears to be constant, but the intensity of annual rainfall maxima, between 1 and 24 h , is increasing, especially in the period between late summer and early autumn. The associated ground effects in urban areas consist of flash floods and pluvial floods, often in very small areas, depending on the physical-geographical layout of the region. In the context of global warming, it is therefore important to have an adequate monitoring network for rain events that are highly concentrated in space and time. This research analyses the meteo-hydrological features of the 27 and 28 August 2023 event that occurred in the city of Genoa, Italy, just 4 d after the record maximum air temperature was recorded: between 19:00 and 02:00 UTC almost 400 mm of rainfall was recorded in the eastern sector of the historic centre of Genoa, with significant ground effects such as flooding episodes and the overflowing of pressurised culverts. Rainfall observations and estimates were made using both official or "authoritative" networks (rain gauges and meteorological radar) and rain gauge networks inspired by citizen science principles. The combined analysis of observations from authoritative and citizen science networks reveals, for the event analysed, a spatial variability of the precipitation field at an hourly and a sub-hourly timescale that cannot be captured by the current spatial density of the authoritative measurement stations (which have one of the highest densities in Italy). Monthly total rainfall and short-duration annual maximum time series recorded by the authoritative rain gauge network of the Genoa area are then analysed. The results show significant variation even at distances of less than 2 km in the average rainfall depth accumulated over sub-hourly duration. Extreme weather monitoring activity is confirmed as one of the most important aspects in terms of flood prevention and protection in urban areas. The integration between authoritative and citizen science networks can prove to be a valid contribution to the monitoring of extreme events. [ABSTRACT FROM AUTHOR]
Published: 2024
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33. The Overall Collection Efficiency of Catching‐Type Precipitation Gauges in Windy Conditions

Author: Cauteruccio, A., primary, Chinchella, E., additional, and Lanza, L. G., additional
Published: 2024
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34. The Long-Term Performance of a Rainwater Harvesting System Based on a Quasi-Bicentennial Rainfall Time Series

Author: Cauteruccio, Arianna, primary and Lanza, Luca G., additional
Published: 2023
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35. A model-agnostic, network theory-based framework for supporting XAI on classifiers

Author: Bonifazi, Gianluca, primary, Cauteruccio, Francesco, additional, Corradini, Enrico, additional, Marchetti, Michele, additional, Terracina, Giorgio, additional, Ursino, Domenico, additional, and Virgili, Luca, additional
Published: 2023
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36. A General Approach to Uniformly Handle Different String Metrics Based on Heterogeneous Alphabets

Author: Francesco Cauteruccio, Alessandro Cucchiarelli, Christian Morbidoni, Giorgio Terracina, and Domenico Ursino
Subjects: String metrics, generalized string similarity framework, edit distance, Jaccard distance, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract: In the last few years, we have assisted in a great increase of the usage of strings in the most disparate areas. In the meantime, the development of the Internet has brought the necessity of managing strings from very different contexts and possibly using different alphabets. This issue is not addressed by the numerous string comparison metrics previously proposed in the literature. In this paper, we aim at providing a contribution in this context. In fact, first we propose an approach to measure the similarity of strings based on different alphabets. Then we show that our approach can be specifically adapted to several classic string comparison metrics and that each specialization can lead to addressing completely different issues.
Published: 2020
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37. Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance

Author: Cauteruccio, Francesco, Fortino, Giancarlo, Guerrieri, Antonio, Liotta, Antonio, Mocanu, Decebal Constantin, Perra, Cristian, Terracina, Giorgio, and Torres Vega, Maria
Published: 2019
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38. A Space-Time Framework for Sentiment Scope Analysis in Social Media

Author: Gianluca Bonifazi, Francesco Cauteruccio, Enrico Corradini, Michele Marchetti, Luigi Sciarretta, Domenico Ursino, and Luca Virgili
Subjects: spatial scope, temporal scope, sentiment analysis, social network analysis, Reddit, Technology
Abstract: The concept of scope was introduced in Social Network Analysis to assess the authoritativeness and convincing ability of a user toward other users on one or more social platforms. It has been studied in the past in some specific contexts, for example to assess the ability of a user to spread information on Twitter. In this paper, we propose a new investigation on scope, as we want to assess the scope of the sentiment of a user on a topic. We also propose a multi-dimensional definition of scope. In fact, besides the traditional spatial scope, we introduce the temporal one, which has never been addressed in the literature, and propose a model that allows the concept of scope to be extended to further dimensions in the future. Furthermore, we propose an approach and a related set of parameters for measuring the scope of the sentiment of a user on a topic in a social network. Finally, we illustrate the results of an experimental campaign we conducted to evaluate the proposed framework on a dataset derived from Reddit. The main novelties of this paper are: (i) a multi-dimensional view of scope; (ii) the introduction of the concept of sentiment scope; (iii) the definition of a general framework capable of analyzing the sentiment scope related to any subject on any social network.
Published: 2022
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39. Withdrawal notice to 'Experimental evidence of the wind-induced bias of precipitation gauges using Particle Image Velocimetry and particle tracking in the wind tunnel' [HYDROA 12 (2021) 100081]

Author: Arianna Cauteruccio, Elia Brambill, Mattia Stagnaro, Luca G. Lanza, and Daniele Rocchi
Subjects: Environmental engineering, TA170-171, Environmental sciences, GE1-350
Published: 2021
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40. Luminescent dinuclear rhenium(I)[sbnd]PNA conjugates for microRNA-21 targeting: Synthesis, chemico-physical and biological characterization

Author: Cauteruccio, Silvia, Panigati, Monica, Veronese, Lorenzo, Zaffaroni, Nadia, Folini, Marco, and Licandro, Emanuela
Published: 2019
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41. Rainwater Harvesting for Urban Landscape Irrigation Using a Soil Water Depletion Algorithm Conditional on Daily Precipitation

Author: Arianna Cauteruccio and Luca G. Lanza
Subjects: rainwater harvesting, landscape irrigation, urban environment, behavioural model, soil water capacity, precipitation, Hydraulic engineering, TC1-978, Water supply for domestic and industrial purposes, TD201-500
Abstract: The supply of various non-potable water usages based on the harvesting and management of rainwater in urban areas allows to save high-quality water resources for strictly potable use and to limit the squandering of precious freshwater resources. A rainwater harvesting system included in a reconversion project of a former military area located in the town of Genova (Italy) is examined. Rainwater is collected and used for the landscape irrigation of public areas. Three rainwater collection scenarios are considered while varying the size of the storage tank, using daily rainfall data from a local long-term record as the reference rainfall climatology. A behavioural model is adopted to simulate the operation of the rainwater harvesting system and improved with a dedicated algorithm to account for the actual soil water availability for the vegetation and its temporal decay, based on the specific soil type and vegetation. For each scenario/tank size combination, reliability indices are calculated and compared, while the detention time and the annual usage volume per unit tank capacity are used as indicators of water quality deterioration in the tank and the economic benefit associated with the exploitation of the resource. The best solution in terms of rainwater collection scenario and tank size is identified.
Published: 2022
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42. Calibration Uncertainty of Non-Catching Precipitation Gauges

Author: Quentin Baire, Miruna Dobre, Anne-Sophie Piette, Luca Lanza, Arianna Cauteruccio, Enrico Chinchella, Andrea Merlone, Henrik Kjeldsen, Jan Nielsen, Peter Friis Østergaard, Marina Parrondo, and Carmen Garcia Izquierdo
Subjects: precipitation, measurement, calibration, uncertainty, non-catching gauges, Chemical technology, TP1-1185
Abstract: Precipitation is among the most important meteorological variables for, e.g., meteorological, hydrological, water management and climate studies. In recent years, non-catching precipitation gauges are increasingly adopted in meteorological networks. Despite such growing diffusion, calibration procedures and associated uncertainty budget are not yet standardized or prescribed in best practice documents and standards. This paper reports a metrological study aimed at proposing calibration procedures and completing the uncertainty budgets, to make non-catching precipitation gauge measurements traceable to primary standards. The study is based on the preliminary characterization of different rain drop generators, specifically developed for the investigation. Characterization of different models of non-catching rain gauges is also included.
Published: 2022
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43. Calibration of non‐catching precipitation measurement instruments: A review

Author: L. G. Lanza, A. Merlone, A. Cauteruccio, E. Chinchella, M. Stagnaro, M. Dobre, M. C. Garcia Izquierdo, J. Nielsen, H. Kjeldsen, Y. A. Roulet, G. Coppa, C. Musacchio, C. Bordianu, and M. Parrondo
Subjects: calibration, hydro‐meteorology, meteomet, non‐catching gauges, precipitation, precipitation measurement and analysis, Meteorology. Climatology, QC851-999
Abstract: Abstract Non‐catching type gauges are the emerging class of in situ precipitation measurement instruments. For these instruments, rigorous testing and calibration are more challenging than for traditional gauges. Hydrometeors characteristics like particle size, shape, fall velocity and density must be reproduced in a controlled environment to provide the reference precipitation, instead of the equivalent water flow used for catching‐type gauges. They are generally calibrated by the manufacturers using internal procedures developed for the specific technology employed. No agreed methodology exists, and the adopted procedures are rarely traceable to internationally recognized standards. The EURAMET project 18NRM03 ‘INCIPIT’ on ‘Calibration and accuracy of non‐catching instruments to measure liquid/solid atmospheric precipitation’, funded by the European Metrology Programme for Innovation and Research (EMPIR), was initiated in 2019 to investigate calibration and accuracy issues of non‐catching measuring instruments used for liquid/solid atmospheric precipitation measurement. A survey of the existing models of non‐catching type instruments was initially performed and this paper provides an overview and a description of their working principles and the adopted calibration procedures. Both literature works and technical manuals disclosed by manufacturers are summarized and discussed, while current limitations and metrological requirements are identified.
Published: 2021
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44. The role of citizen science to assess the spatiotemporal pattern of rainfall events in urban areas: a case study in the city of Genoa, Italy.

Author: Loglisci, Nicola, Boni, Giorgio, Cauteruccio, Arianna, Faccini, Francesco, Milelli, Massimo, Paliaga, Guido, and Parodi, Antonio
Subjects: RAINFALL, RAIN gauges, CITIES & towns, EARTH system science, PHILOSOPHY of science, MESOSCALE convective complexes
Abstract: Climate change in the Mediterranean region is evidenced by an increase in average air temperature and a variation in rainfall regime: the value of cumulated annual rainfall seems to be basically constant, however, rainfall of maximum intensity and short duration, between 1 and 24 hours, is increasing, especially in the period between late summer and early autumn. The associated ground effects in urban areas consist of flash floods and pluvial floods, often in very small areas, depending on the physical-geographical layout of the region. In the context of global warming, it follows that it is important to have an adequate monitoring network for these rain events, which are highly concentrated in space and time. This research analyzes the meteo-hydrological features of August 27th and 28th 2023 event that occurred in Genoa, just 4 days after the record maximum air temperature recorded: between 19UTC and 02UTC nearly 400 mm of rainfall was recorded in the eastern sector of Genoa's historic center, with significant ground effects such as flooding and overflowing in pressurized culverted waterways. Rainfall observations and estimates were taken using both official or "authoritative" networks (rain gauges and meteorological radar) as well as rain gauge networks inspired by citizen science principles. The combined analysis of the observations by authoritative and "citizen science" networks highlights, for the analyzed event, a spatial variability of the precipitation field for the hourly and sub-hourly duration, which cannot be captured by the current spatial density of the authoritative measurement stations (which it is also among the highest in Italy). Monthly total rainfalls and maximum intensity and short duration annual maxima time series recorded by the authoritative rain gauge network of the Genoa area are then analyzed. Results show that at distances even less than 2 km the variations in average rainfall depth cumulated over sub-hourly duration are very significant. Thus, extreme weather monitoring activity is confirmed as one of the most important aspects in terms of flood prevention and protection in urban areas. The integration between authoritative and citizen science networks can prove to be a valid contribution for monitoring this type of extreme events. [ABSTRACT FROM AUTHOR]
Published: 2024
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45. A Subjective Logical Framework-Based Trust Model for Wormhole Attack Detection and Mitigation in Low-Power and Lossy (RPL) IoT-Networks

Author: Javed, Sarmad, primary, Sajid, Ahthasham, additional, Kiren, Tayybah, additional, Khan, Inam Ullah, additional, Dewi, Christine, additional, Cauteruccio, Francesco, additional, and Christanto, Henoch Juli, additional
Published: 2023
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46. Helical push-pull systems for solar cells: Electrochemical, computational, photovoltaic and NMR data

Author: Davide Dova, Silvia Cauteruccio, Norberto Manfredi, Stefan Prager, Andreas Dreuw, Serena Arnaboldi, Patrizia R. Mussini, Emanuela Licandro, and Alessandro Abbotto
Subjects: Computer applications to medicine. Medical informatics, R858-859.7, Science (General), Q1-390
Abstract: The data presented in this article are related to the research article entitled “An unconventional helical push-pull system for solar cells” (Dova et al., 2019). This article provides: a) the cyclic voltammogram plots in solution of helical push-pull sensitizers and the corresponding precursors; b) the visualization of the leading natural transition orbital (NTO) pairs obtained by theoretical calculation of frontiers orbitals; c) J/V curves of dye-sensitized solar cells (DSSC) sensitized by the dyes, without 3a,7a-dihydroxy-5b-cholic acid (CDCA) as co-adsorbent agent; d) 1H and 13C NMR spectra of dyes.
Published: 2018
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47. Intermittent Abdominal Pressure Ventilation: An Alternative for Respiratory Support

Author: Giuseppe Fiorentino, Anna Annunziata, Antonietta Coppola, Antonella Marotta, Francesca Simioli, Pasquale Imitazione, Maurizia Lanza, Rosa Cauteruccio, and Antonio M. Esquinas
Subjects: Diseases of the respiratory system, RC705-779
Abstract: Intermittent abdominal pressure ventilation is a positive pressure ventilation technique that works with abdominal compressions. It has been known since 1938; however, for many years, it was out of production. In recent years, a new device has been produced that has captured the attention to this old respiratory support technique. We considered eight patients with respiratory failure secondary to a neuromuscular disease (congenital myopathy, Duchenne dystrophy, and amyotrophic lateral sclerosis) intolerant to daytime noninvasive ventilation (NIV). IAPV was proposed as an alternative to NIV. We performed baseline and post-IAPV respiratory function assessment. All patients, two years later, are still using intermittent abdominal ventilation. Intermittent positive abdominal mechanical ventilation can be a valid alternative to noninvasive mechanical ventilation with a nasal or face mask. It improves gas exchange, symptoms, and quality of life, decreases the incidence of pneumonia, and can avert the need for intubation and tracheotomy.
Published: 2021
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48. Synthesis, Stereochemical and Photophysical Properties of Functionalized Thiahelicenes

Author: Valentina Pelliccioli, Francesca Cardano, Giacomo Renno, Francesca Vasile, Claudia Graiff, Giuseppe Mazzeo, Andrea Fin, Giovanna Longhi, Sergio Abbate, Alessia Rosetti, Claudio Villani, Guido Viscardi, Emanuela Licandro, and Silvia Cauteruccio
Subjects: thiahelicenes, synthetic methodology, palladium catalysts, annulation reactions, HPLC, circular dichroism, Chemical technology, TP1-1185, Chemistry, QD1-999
Abstract: We report on the synthesis of a novel class of functionalized thia[6]helicenes and a thia[5]helicene, containing a benzothiophene unit and a second heteroatom embedded in the helix (i.e., nitrogen and oxygen) or a pyrene or a spirobifluorene moiety. These systems are obtained through straightforward and general procedures that involve: (i) palladium-catalyzed annulation of iodo-atropoisomers with internal alkynes and (ii) Suzuki coupling of iodo-atropoisomers with phenyl boronic acid followed by a Mallory-type reaction. Both experimental and theoretical studies on the configurational stability of some selected thia[6]helicenes confirmed their stability toward racemization at room temperature, while the pyrene-based thia[5]helicene was found to be unstable. Moreover, the configuration assignment for one representative thiahelicene was established through the comparison between experimental and theoretical circular dichroism (CD) spectra. A systematic study of the photophysical properties of both thiahelicenes and the corresponding atropoisomers has been carried out to provide a complete overview on the new molecules proposed in this work. The obtained data showed regular trends in all the thiahelicene series with spectroscopic traits in line with those previously observed for similar heterohelicenes.
Published: 2022
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49. Precipitation Measurement Instruments: Calibration, Accuracy and Performance

Author: Luca G. Lanza and Arianna Cauteruccio
Subjects: n/a, Hydraulic engineering, TC1-978, Water supply for domestic and industrial purposes, TD201-500
Abstract: Though ranking high among the relevant environmental variables (due to the well-known significant interactions with the everyday human life and economic activities), atmospheric precipitation is not yet measured operationally with neither the degree of accuracy that would meet the most demanding applications nor any rigorous standardization framework [...]
Published: 2022
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50. Cemented versus cementless megaprosthesis in proximal femur metastatic disease: A systematic review

Author: Maria Serena Oliva, Raffaele Vitiello, Michele Cauteruccio, Elisa Pesare, Giuseppe Rovere, Cesare Meschini, Francesco Liuzza, Giulio Maccauro, and Antonio Ziranu
Subjects: Megaproshesis, cement, femur, metastasis., Orthopedic surgery, RD701-811
Abstract: The proximal femur is the long bone most commonly affected by metastatic disease. There are many treatment options, such as hip megaprostheses. A topic still widely debated in literature is the use of cemented or uncemented megaprostheses in this kind of patients. The purpose of this review is to examine both these surgical options to understand which of them should be preferred in metastatic patients. Twelve articles were finally included in the review. Eight authors used cemented mega - prostheses, two cementless megaprostheses and two authors used both techniques. Better functional outcomes and lower infection rates were found in cementless mega - prostheses. More studies have to be performed to choose the better technique and improve patients’ quality of life.
Published: 2020
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