9,461 results on '"A. Longo"'
Search Results
2. Transient and Persistent Energy Efficiency in the Wastewater Sector based on Economic Foundations
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Longo, Stefano, Chitnis, Mona, Mauricio-Iglesias, Miguel, and Hospido, Almudena
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Water treatment plants -- Energy use ,Energy efficiency -- Analysis ,Sewage -- Purification ,Energy consumption -- Analysis ,Business ,Economics ,Petroleum, energy and mining industries - Abstract
Given the increasing importance of the wastewater sector in terms of energy usage, the understanding of the level of energy efficiency of wastewater treatment plants (WWTPs) is useful to both the industry itself as well as policy makers. Here, based on economic foundations, we apply a Stochastic Frontier Analysis (SFA) approach for energy demand modelling to estimate energy efficiency in the wastewater sector. Using specific SFA models and panel data from 183 Swiss WWTPs over the period 2001 to 2015, the paper illustrates that distinguishing between persistent and transient inefficiency is essential to deduce appropriate energy efficiency diagnosis in WWTPs. In this respect, persistent energy inefficiency is found to be more severe than transient energy inefficiency. Furthermore, it is shown that the age of the equipment influences the demand for energy and the energy savings due to technological innovation are quantified. Finally, economies of output density and scale are estimated demonstrating that for plants operating below optimal scale significant energy savings can be achieved if plants would be operated at higher size. Moreover, our analysis reveals also that for plants larger than 100,000 Population Equivalent, at least from an energy efficiency point of view, it would be no more beneficial to increase their scale. Keywords: Stochastic frontier analysis, Energy efficiency, Energy demand, Benchmarking, Wastewater treatment, Water diagnosis, 1. INTRODUCTION Energy used to supply water to consumers is a source of demand that is set to grow rapidly over the coming decades. At European level, the data show [...]
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- 2020
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3. Prognostic significance of unexplained left ventricular hypertrophy in patients undergoing carpal tunnel surgery
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Vittorio Ramella, Francesca Longo, Aldostefano Porcari, Giulia Barbati, Linda Pagura, Enrico Sfriso, Emiliano Longo, Marco Merlo, Claudio Rapezzi, Gianfranco Sinagra, Zoran Marij Arnež, Luigi Murena, Porcari, Aldostefano, Pagura, Linda, Longo, Francesca, Sfriso, Enrico, Barbati, Giulia, Murena, Luigi, Longo, Emiliano, Ramella, Vittorio, Arnež, Zoran Marij, Rapezzi, Claudio, Merlo, Marco, and Sinagra, Gianfranco
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Male ,medicine.medical_specialty ,Prognosi ,Epidemiology ,Cardiac amyloidosis ,Carpal tunnel syndrome ,Diagnosis ,Prognosis ,Unexplained cardiac hypertrophy ,Carpal tunnel surgery ,Left ventricular hypertrophy ,Ventricular Function, Left ,NO ,Cardiac amyloidosi ,Internal medicine ,medicine ,Diseases of the circulatory (Cardiovascular) system ,Humans ,Carpal tunnel ,cardiovascular diseases ,Retrospective Studies ,Ejection fraction ,business.industry ,Stroke Volume ,Original Articles ,medicine.disease ,medicine.anatomical_structure ,RC666-701 ,Heart failure ,Cardiology ,Original Article ,Female ,Hypertrophy, Left Ventricular ,Cardiology and Cardiovascular Medicine ,business ,Diagnosi - Abstract
Aims Carpal tunnel (CT) syndrome is a recognized red‐flag of cardiac amyloidosis (CA) and increased cardiovascular (CV) morbidity. We designed this study to characterize the CV profile of patients with CT syndrome at the time of first surgery and to identify high‐risk presentations. Methods and results We retrospectively reviewed 643 patients who underwent CT surgery between 2007 and 2019. Of them, 130 patients (77 years, 45% male patients, left ventricular ejection fraction 62%) with available CV characterization within ±12 months from CT surgery were included. Abnormal loading conditions causing cardiac left ventricular hypertrophy (LVH) were investigated to distinguish explained LVH (Ex‐LVH) from unexplained LVH (Un‐LVH). LVH was found in 66 (51%) patients, 33% of them presented Un‐LVH. Compared with the others, Un‐LVH patients were older (77 and 75 vs. 70 years in Un‐LVH, Ex‐LVH, and non‐LVH, respectively; P = 0.002), had higher rates of electrocardiogram‐echo discrepancy (70%, 14.3%, and 1.6%, respectively; P
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- 2021
4. A Resilient Fire Protection System for Software-Defined Factories
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Carlo Scaffidi, Giovanni Merlino, Antonio Puliafito, Salvatore Distefano, Francesco Longo, and Giuseppe Tricomi
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Exploit ,Computer Networks and Communications ,Event (computing) ,Computer science ,business.industry ,Control reconfiguration ,Cloud computing ,Computer security ,computer.software_genre ,Computer Science Applications ,Adaptive management ,Hardware and Architecture ,Signal Processing ,Fire protection ,Business logic ,Factory (object-oriented programming) ,business ,computer ,Information Systems - Abstract
A Smart Factory exploits information and communication technologies (ICT) to improve the production process and the working environment, usually addressing safety concerns. To this concern, factory-grade fire protection systems are governed by several procedures and standards whose application often becomes definitely challenging when the factory premises are dispersed across multiple administrative domains. In such contexts, the Smart Factory approach can prove very effective in the management and coordination of the factory-level fire protection system. However, a catastrophic event may compromise the ICT infrastructure, affecting communication among factory domains and therefore its smart services. A strategy to cope with the latter may be the introduction of mechanisms to handle data analysis on-site for a prompt response while enabling seamless data distribution and processing among neighbouring (federated) ICT infrastructures and emergency operators. In this work, a novel software-defined approach for the adaptive management of a Smart Factory infrastructure is proposed, centered around business logic rewiring and reconfiguration at run-time across different factory domains. Thereby, even in the case of catastrophic (e.g., potentially disruptive) events, working devices of the emergency system can go on with their operations, including transferring data to rescuers and others emergency control systems. To demonstrate the effectiveness of the proposed Software Defined Factory approach, a Federated Fire Protection System operating in an industrial setting is implemented as a case study, able to promptly react and adapt to infrastructure-critical fires and their consequences by leveraging all information and computing facilities pooled over Cloud/Fog/Edge devices spanning the premises.
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- 2023
5. A coercion-resistant blockchain-based E-voting protocol with receipts
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Massimiliano Sala, Chiara Spadafora, and Riccardo Longo
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Blockchain ,Computer Networks and Communications ,media_common.quotation_subject ,Cryptography ,0102 computer and information sciences ,02 engineering and technology ,Coercion ,Computer security ,computer.software_genre ,01 natural sciences ,Microbiology ,Decentralization ,Voting ,0202 electrical engineering, electronic engineering, information engineering ,Discrete Mathematics and Combinatorics ,Robustness (economics) ,Protocol (object-oriented programming) ,Mathematics ,media_common ,Algebra and Number Theory ,business.industry ,Applied Mathematics ,020206 networking & telecommunications ,Transparency (human–computer interaction) ,010201 computation theory & mathematics ,business ,computer - Abstract
We propose a decentralized e-voting protocol that is coercion-resistant and vote-selling resistant, while being also completely transparent and not receipt-free. We achieve decentralization using blockchain technology. Because of the properties such as transparency, decentralization, and non-repudiation, blockchain is a fundamental technology of great interest in its own right, and it also has large potential when integrated into many other areas. We prove the security of the protocol under the standard DDH assumption on the underlying prime-order cyclic group (e.g. the group of points of an elliptic curve), as well as under standard assumptions on blockchain robustness.
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- 2023
6. Formal security proof for a scheme on a topological network
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Roberto Civino and Riccardo Longo
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Scheme (programming language) ,Security analysis ,Algebra and Number Theory ,Theoretical computer science ,Computer Networks and Communications ,business.industry ,Applied Mathematics ,020206 networking & telecommunications ,Cryptography ,0102 computer and information sciences ,02 engineering and technology ,Adversary ,Encryption ,01 natural sciences ,Microbiology ,010201 computation theory & mathematics ,Discrete logarithm ,0202 electrical engineering, electronic engineering, information engineering ,Key (cryptography) ,Discrete Mathematics and Combinatorics ,Elliptic curve cryptography ,business ,computer ,computer.programming_language ,Mathematics - Abstract
Key assignment and key maintenance in encrypted networks of resource-limited devices may be a challenging task, due to the permanent need of replacing out-of-service devices with new ones and to the consequent need of updating the key information. Recently, Aragona et al. proposed a new cryptographic scheme, ECTAKS, which provides a solution to this design problem by means of a Diffie-Hellman-like key establishment protocol based on elliptic curves and on a prime field. Even if the authors proved some results related to the security of the scheme, the latter still lacks a formal security analysis. In this paper, we address this issue by providing a security proof for ECTAKS in the setting of computational security, assuming that no adversary can solve the underlying discrete logarithm problems with non-negligible success probability.
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- 2023
7. Intravitreal dexamethasone implant versus anti-vascular endothelial growth factor therapy combined with cataract surgery in patients with diabetic macular oedema: a systematic review with meta-analysis
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Andrea Maugeri, Gilda Cennamo, Paola Marolo, Andrew J. Lotery, Martina Barchitta, Claudio Furino, Guglielmo Parisi, Michele Reibaldi, Antonella Agodi, Antonio Longo, Giuliana Favara, Vincenza Bonfiglio, Enrico Borrelli, Matteo Fallico, Teresio Avitabile, Andrea Russo, Fallico M., Lotery A., Maugeri A., Favara G., Barchitta M., Agodi A., Russo A., Longo A., Bonfiglio V., Avitabile T., Marolo P., Borrelli E., Parisi G., Cennamo G., Furino C., Reibaldi M., Fallico, M., Lotery, A., Maugeri, A., Favara, G., Barchitta, M., Agodi, A., Russo, A., Longo, A., Bonfiglio, V., Avitabile, T., Marolo, P., Borrelli, E., Parisi, G., Cennamo, G., Furino, C., and Reibaldi, M.
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Vascular Endothelial Growth Factor A ,medicine.medical_specialty ,genetic structures ,medicine.medical_treatment ,Visual Acuity ,Endothelial Growth Factors ,Macular Edema ,Dexamethasone ,Cataract ,Ophthalmology ,Diabetes Mellitus ,Humans ,Medicine ,In patient ,Diabetic Retinopathy ,business.industry ,DEX ,cataract surgery ,Cataract surgery ,Diabetic cataract ,Bevacizumab ,Anti–vascular endothelial growth factor therapy ,Diabetic macular oedema ,anti-VEGF ,diabetic macular oedema ,Meta-analysis ,sense organs ,Implant ,business ,medicine.drug - Abstract
Objective: to compare outcomes of cataract surgery combined with either anti-Vascular Endothelial Growth Factor (anti-VEGF) therapy or dexamethasone implant (DEX) in patients with diabetic macular oedema (DMO). Methods: Pubmed and Embase databases were searched for studies reporting outcomes of diabetic cataract surgery combined with either anti-VEGF or DEX, with a follow-up ≥3 months. The primary outcome was the mean change in central macular thickness (CMT). Mean change in best corrected visual acuity (BCVA) was considered as a secondary outcome. The mean difference between baseline and post-treatment values (MD) with 95%-Confidence Interval (95%CI) was calculated and meta-analyses were performed. Results: ninteen studies were included, 8 in the DEX group and 11 in the anti-VEGF group. A significant reduction of macular thickness was shown in the DEX group at 3 months (MD = −98.35 µm; 95% CI, −147.15/−49.54), while mean CMT change was non-significant in the anti-VEGF group (MD = −21.61 µm; 95% CI, −59.46/16.24; test of group differences, P < 0.001). At 3 months, no difference in visual gain was found between the two groups (P = 0.13). Conclusions: in DMO patients, cataract surgery combined with DEX seems to provide better anatomical outcomes compared with cataract surgery combined with anti-VEGF therapy. However, our evidence was limited by significant heterogeneity. Randomised trials comparing these two different combined approaches are warranted.
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- 2021
8. A Cloud-Based and Dynamic DNS Approach to Enable the Web of Things
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Antonio Puliafito, Giovanni Merlino, Francesco Longo, and Zakaria Benomar
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Computer Networks and Communications ,Computer science ,Internet of Things ,Interoperability ,Cloud computing ,Domain (software engineering) ,Cyber Physical Systems ,Web of Things ,Resource (project management) ,Peer-to-peer computing ,Web services ,business.industry ,REST ,Domain Name System ,XML ,Computer Science Applications ,OpenStack ,Control and Systems Engineering ,Network address ,Protocols ,Web servers ,The Internet ,business ,Computer network - Abstract
With the significant impact of Internet services and the evolution in the hardware and software fields, the Internet size and usage scope are continuously covering smaller and resource-constrained devices. Such devices, commonly called IoT devices, with sensing/actuation capabilities, are now capable of managing the complexity of communications over the Internet. However, considering the current IoT ecosystem, this field is still fragmented with respect to the communication technologies, protocols, and data formats used by the different providers. This heterogeneity makes IoT devices/systems unable to communicate seamlessly, leading to limited cooperation and tightly coupled deployments. To overwhelm the interoperability barriers in IoT, we propose, in this paper, a Cloud-based approach with a Dynamic Domain Name System (DDNS) mechanism enabling the IoT devices to communicate using the REST model. An approach that follows the Web of things (WoT) paradigm. In particular, the system enables the IoT devices' hosted resources (e.g., sensors and actuators) to be steered using globally resolvable (over the Internet) Uniform Resource Locators (URLs) even when deployed behind Network Address Translators (i.e., NATs). Besides, the solution considers security aspects related to data transmission by leveraging the use of HTTPS with a Dynamic machnism managing Domain Validation (DV) certificates.
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- 2022
9. A national survey on prevalence of possible echocardiographic red flags of amyloid cardiomyopathy in consecutive patients undergoing routine echocardiography: study design and patients characterization — the first insight from the AC-TIVE Study
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Matteo Cameli, Elisa Giacomin, Marco Metra, Giuseppe Limongelli, Stefano Favale, Martina Caiazza, Antonino Milidoni, Carlo Lombardi, Marco Merlo, Lia Crotti, Angelo Giuseppe Caponetti, Andrea Carlo Merlo, Francesco Cappelli, Alessandro Andreis, Valentina Spini, Camillo Autore, Rita Pavasini, Beatrice Musumeci, Iacopo Olivotto, Michele Emdin, Francesco Bruno, Marco Canepa, Luigi P. Badano, Giuseppe De Carli, Giulia Saturi, Cinzia Forleo, Giuseppe Vergaro, Miriam Albanese, Massimo Imazio, Luca Di Ienno, Giovanna Branzi, Andrea Igoren Guaricci, Claudio Rapezzi, Gianluca Di Bella, Gianfranco Sinagra, Linda Pagura, Valeria Rella, Gianfranco Parati, Giovanni La Malfa, Stefano Perlini, Enrico Sfriso, Aldostefano Porcari, Elena Biagini, Giuseppe Palmiero, Francesca Longo, Franca Dore, Merlo, Marco, Porcari, Aldostefano, Pagura, Linda, Cameli, Matteo, Vergaro, Giuseppe, Musumeci, Beatrice, Biagini, Elena, Canepa, Marco, Crotti, Lia, Imazio, Massimo, Forleo, Cinzia, Cappelli, Francesco, Favale, Stefano, Di Bella, Gianluca, Dore, Franca, Lombardi, Carlo Mario, Pavasini, Rita, Rella, Valeria, Palmiero, Giuseppe, Caiazza, Martina, Albanese, Miriam, Guaricci, Andrea Igoren, Branzi, Giovanna, Caponetti, Angelo Giuseppe, Saturi, Giulia, La Malfa, Giovanni, Merlo, Andrea Carlo, Andreis, Alessandro, Bruno, Francesco, Longo, Francesca, Sfriso, Enrico, Di Ienno, Luca, De Carli, Giuseppe, Giacomin, Elisa, Spini, Valentina, Milidoni, Antonino, Limongelli, Giuseppe, Autore, Camillo, Olivotto, Iacopo, Badano, Luigi, Parati, Gianfranco, Perlini, Stefano, Metra, Marco, Emdin, Michele, Rapezzi, Claudio, Sinagra, Gianfranco, Merlo, M, Porcari, A, Pagura, L, Cameli, M, Vergaro, G, Musumeci, B, Biagini, E, Canepa, M, Crotti, L, Imazio, M, Forleo, C, Cappelli, F, Favale, S, Di Bella, G, Dore, F, Lombardi, C, Pavasini, R, Rella, V, Palmiero, G, Caiazza, M, Albanese, M, Guaricci, A, Branzi, G, Caponetti, A, Saturi, G, La Malfa, G, Merlo, A, Andreis, A, Bruno, F, Longo, F, Sfriso, E, Di Ienno, L, De Carli, G, Giacomin, E, Spini, V, Milidoni, A, Limongelli, G, Autore, C, Olivotto, I, Badano, L, Parati, G, Perlini, S, Metra, M, Emdin, M, Rapezzi, C, and Sinagra, G
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medicine.medical_specialty ,Epidemiology ,Socio-culturale ,Cardiac amyloidosis ,Cardiac amyloidosi ,Internal medicine ,Prevalence ,medicine ,Humans ,Red-flag ,business.industry ,MED/11 - MALATTIE DELL'APPARATO CARDIOVASCOLARE ,Amyloidosis ,Echocardiography ,Red-flags ,Cardiomyopathies ,Emblems and Insignia ,Cardiology ,Cardiology and Cardiovascular Medicine ,business ,Amyloid cardiomyopathy ,Red flags - Abstract
N/A
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- 2021
10. DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Discriminative Multi-Scale Deep Features
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Xiao Zheng, Albert Y. Zomaya, Jian Xiong, Xinwang Liu, Antonella Longo, Wanqing Li, Chang Tang, Lizhe Wang, Tang, C., Liu, X., Zheng, X., Li, W., Xiong, J., Wang, L., Zomaya, A., and Longo, A.
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Artificial neural network ,Channel Attention ,Computer science ,business.industry ,Applied Mathematics ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Multi-scale Features ,Pattern recognition ,Feature Fusing ,02 engineering and technology ,Defocus Blur Detection ,Computational Theory and Mathematics ,Discriminative model ,Artificial Intelligence ,Feature (computer vision) ,0202 electrical engineering, electronic engineering, information engineering ,Clutter ,020201 artificial intelligence & image processing ,Computer Vision and Pattern Recognition ,Sensitivity (control systems) ,Artificial intelligence ,Scale (map) ,business ,Software - Abstract
Albeit great success has been achieved in image defocus blur detection, there are still several unsolved challenges, e.g., interference of background clutter, scale sensitivity and missing boundary details of blur regions. To deal with these issues, we propose a deep neural network which recurrently fuses and refines multi-scale deep features (DeFusionNet) for defocus blur detection. We first fuse the features from different layers of FCN as shallow features and semantic features, respectively. Then, the fused shallow features are propagated to deep layers for refining the details of detected defocus blur regions, and the fused semantic features are propagated to shallow layers to assist in better locating blur regions. The fusion and refinement are carried out recurrently. In order to narrow the gap between low-level and high-level features, we embed a feature adaptation module before feature propagating to exploit the complementary information as well as reduce the contradictory response of different feature layers. Since different feature channels are with different extents of discrimination for detecting blur regions, we design a channel attention module to select discriminative features for feature refinement. Finally, the output of each layer at last recurrent step are fused to obtain the final result. We collect a new dataset consists of various challenging images and their pixel-wise annotations for promoting further study. Extensive experiments on two commonly used datasets and our newly collected one are conducted to demonstrate both the efficacy and efficiency of DeFusionNet.
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- 2022
11. Is there a Link between Non Melanoma Skin Cancer and Hydrochlorothiazide?
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Antonio Siniscalchi, Luca Gallelli, Erika Cione, Gianfranco Vasta, Antonio Guerra, Andrea Scaramuzzino, Lucia Longo, Lucia Muraca, Giovambattista De Sarro, null 'G & SP' Working Group, Giacomo Leuzzi, Antonio Gerace, Antonio Scuteri, Piero Vasapollo, Vincenzo Natale, Stefania Zampogna, and Filippo Luciani
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Male ,medicine.medical_specialty ,Skin Neoplasms ,Toxicology ,Hydrochlorothiazide ,Internal medicine ,medicine ,Humans ,Pharmacology (medical) ,Basal cell carcinoma ,In patient ,Antihypertensive Agents ,Retrospective Studies ,Pharmacology ,business.industry ,Significant difference ,Retrospective cohort study ,Odds ratio ,medicine.disease ,Carcinoma, Basal Cell ,Female ,Skin cancer ,business ,medicine.drug ,Non melanoma - Abstract
Aims: Here in we evaluated the association between the use of Hydrochlorothiazide (HCTZ) and the risk of NMSC both, basal cell carcinoma (BCC) and squamous cell carcinoma (SCC). Background: Even though the use of HCTZ is not linked with the development of serious adverse drug reactions, non-melanoma skin cancer (NMSC) has been reported in patients treated with the drug in recent years, most likely due to its photosensitizing ability. Objective: To evaluate the statistically significant difference (P Methods: We performed a retrospective study on patients referred to general practitioners who developed skin cancer or NMSC whether or not they were treated with antihypertensive drugs. Controls were matched with the test by age and sex. We calculated odds ratios (ORs) for skin cancer and NMSC associated with hydrochlorothiazide using conditional logistic regression. Results: We enrolled 19,320 patients in the present study, out of a total of 10,110 (52.3%) who were treated with antihypertensive drugs. Of 10,110 patients, 3,870 were treated with HCTZ (38.3%). During the study, we failed to report an increased risk of NMSC in HCTZ-treated vs. untreated patients. Gender stratification revealed an OR for NMSC of 1.36 for men and 0.56 for women. We did not find a dose-response relationship between HCTZ use and NMSC. Conclusions: In the present study, we failed to report an association between the use of HCTZ and the development of NMSC.
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- 2022
12. Safety and efficacy of cipaglucosidase alfa plus miglustat versus alglucosidase alfa plus placebo in late-onset Pompe disease (PROPEL): an international, randomised, double-blind, parallel-group, phase 3 trial
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Sheela Sitaraman, Richard Roxburgh, Kristina Gutschmidt, Ela Stefanescu, Drago Bratkovic, Thomas Burrow, Kornblum Cornelia, Kristl Claeys, Miriam Freimer, Ozlem Goker-Alpan, Srilakshmi Kuchipudi, Alan Pestronk, Wolfgang Löscher, Francoise Bouhour, Maria Judit Molnar, Ans T. van der Ploeg, Halina Bartosik-Psujek, Mitchell Goldman, Robert D. Henderson, Stephanie Dearmey, Colin Quinn, Paula R. Clemens, Priya S. Kishnani, Jennifer B Avelar, Nicola Longo, Shahram Attarian, Robert Hopkin, Tomo Sawada, Blaž Koritnik, George Konstantinos Papadimas, Hideaki Shiraishi, Christopher Lindberg, Jin-Hong Shin, Ivaylo Tarnev, Tahseen Mozaffar, Heather Lau, Michel Tchan, Jozsef Janszky, Tobias Ruck, Sabrina Sacconi, Benedikt Schoser, Hashiguchi Akihiro, Patrick Deegan, Ernest Butler, Nuria Vidal-Fernandez, Antonio Toscano, Tarekegn Hiwot, Gee Kim, Emmanuelle Salort-Campana, Jeff Castelli, Pascal Laforet, Céline Tard, Crystal Eldridge, Aneal Khan, Stephan Wenninger, Simona Fecarotta, Jordi Díaz-Manera, Jorge Alonso-Pérez, Yin-Hsiu Chien, Mark Tarnopolsky, Olimpia Musumeci, Hiroshi Kobayashi, Helio Pedro, Jonathan Cauci, Agnes Sebok, Cynthia Bodkin, Hai Jiang, Julie Berthy, Vescei Laszlo, Derralynn Hughes, David Reyes-Leiva, Aleksandra Dominovic-Kovacevic, Mazen M. Dimachkie, Hernan Amartino, Hani Kushlaf, Barry J. Byrne, Giancarlo Parenti, Henning Andersen, Mark Roberts, Marie Wencel, Jaime Vengoechea, Schoser, B., Roberts, M., Byrne, B. J., Sitaraman, S., Jiang, H., Laforet, P., Toscano, A., Castelli, J., Diaz-Manera, J., Goldman, M., van der Ploeg, A. T., Bratkovic, D., Kuchipudi, S., Mozaffar, T., Kishnani, P. S., Sebok, A., Pestronk, A., Dominovic-Kovacevic, A., Khan, A., Koritnik, B., Tard, C., Lindberg, C., Quinn, C., Eldridge, C., Bodkin, C., Reyes-Leiva, D., Hughes, D., Stefanescu, E., SALORT-CAMPANA, E., Butler, E., Bouhour, F., Kim, G., Konstantinos Papadimas, G., Parenti, G., Bartosik-Psujek, H., Kushlaf, H., Akihiro, H., Lau, H., Pedro, H., Andersen, H., Amartino, H., Shiraishi, H., Kobayashi, H., Tarnev, I., Vengoechea, J., Avelar, J., Shin, J. -H., Cauci, J., Alonso-Perez, J., Janszky, J., Berthy, J., Cornelia, K., Gutschmidt, K., Claeys, K., Judit Molnar, M., Wencel, M., Tarnopolsky, M., Dimachkie, M., Tchan, M., Freimer, M., Longo, N., Vidal-Fernandez, N., Musumeci, O., Goker-Alpan, O., Deegan, P., Clemens, P. R., Roxburgh, R., Henderson, R., Hopkin, R., Sacconi, S., Fecarotta, S., Attarian, S., Wenninger, S., Dearmey, S., Hiwot, T., Burrow, T., Ruck, T., Sawada, T., Laszlo, V., Loscher, W., Chien, Y. -H., and Pediatrics
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education.field_of_study ,medicine.medical_specialty ,1-Deoxynojirimycin ,Adolescent ,Glycogen Storage Disease Type II ,business.industry ,Population ,alpha-Glucosidases ,Enzyme replacement therapy ,Placebo ,Treatment Outcome ,Double-Blind Method ,SDG 3 - Good Health and Well-being ,Internal medicine ,Miglustat ,medicine ,Clinical endpoint ,Humans ,Respiratory function ,Neurology (clinical) ,Adverse effect ,education ,business ,Alglucosidase alfa ,medicine.drug - Abstract
Summary Background Pompe disease is a rare disorder characterised by progressive loss of muscle and respiratory function due to acid α-glucosidase deficiency. Enzyme replacement therapy with recombinant human acid α-glucosidase, alglucosidase alfa, is the first approved treatment for the disease, but some patients do not respond, and many do not show a sustained benefit. We aimed to assess the safety and efficacy of an investigational two-component therapy (cipaglucosidase alfa, a novel recombinant human acid α-glucosidase, plus miglustat, an enzyme stabiliser) for late-onset Pompe disease. Methods We did a randomised, double-blind, parallel-group, phase 3 trial at 62 neuromuscular and metabolic medical centres in 24 countries in the Americas, Asia-Pacific, and Europe. Eligible participants were aged 18 years or older with late-onset Pompe disease, and had either been receiving alglucosidase alfa for at least 2 years or were enzyme replacement therapy-naive. Participants were randomly assigned (2:1) using interactive response technology software, stratified by 6-min walk distance and previous enzyme replacement therapy status, to intravenous cipaglucosidase alfa (20 mg/kg) plus oral miglustat or to intravenous alglucosidase alfa (20 mg/kg) plus oral placebo once every 2 weeks for 52 weeks. Patients, investigators, and outcome assessors were masked to treatment assignment. The primary endpoint was change from baseline to week 52 in 6-min walk distance, assessed using a mixed-effect model for repeated measures analysis for comparison of superiority in the intention-to-treat population (all patients who received at least one dose of study drug). This study is now complete and is registered with ClinicalTrials.gov , NCT03729362 . Findings Between Dec 3, 2018, and Nov 26, 2019, 130 patients were screened for eligibility and 125 were enrolled and randomly assigned to receive cipaglucosidase alfa plus miglustat (n=85) or alglucosidase alfa plus placebo (n=40). Two patients in the alglucosidase alfa plus placebo group did not receive any dose due to absence of genotype confirmation of late-onset Pompe disease and were excluded from analysis. Six patients discontinued (one in the alglucosidase alfa plus placebo group, five in the cipaglucosidase alfa plus miglustat group), and 117 completed the study. At week 52, mean change from baseline in 6-min walk distance was 20·8 m (SE 4·6) in the cipaglucosidase alfa plus miglustat group versus 7·2 m (6·6) in the alglucosidase alfa plus placebo group using last observation carried forward (between-group difference 13·6 m [95% CI −2·8 to 29·9]). 118 (96%) of 123 patients experienced at least one treatment-emergent adverse event during the study; the incidence was similar between the cipaglucosidase alfa plus miglustat group (n=81 [95%]) and the alglucosidase alfa plus placebo group (n=37 [97%]). The most frequently reported treatment-emergent adverse events were fall (25 [29%] patients in the cipaglucosidase alfa plus miglustat group vs 15 [39%] in the alglucosidase alfa plus placebo group), headache (20 [24%] vs 9 [24%]), nasopharyngitis (19 [22%] vs 3 [8%]), myalgia (14 [16%] vs 5 [13%]), and arthralgia (13 [15%]) vs 5 [13%]). 12 serious adverse events occurred in eight patients in the cipaglucosidase alfa plus miglustat group; only one event (anaphylaxis) was deemed related to study drug. One serious adverse event (stroke) occurred in the alglucosidase alfa plus placebo group, which was deemed unrelated to study drug. There were no deaths. Interpretation Cipaglucosidase alfa plus miglustat did not achieve statistical superiority to alglucosidase alfa plus placebo for improving 6-min walk distance in our overall population of patients with late-onset Pompe disease. Further studies should investigate the longer-term safety and efficacy of cipaglucosidase alfa plus miglustat and whether this investigational two-component therapy might provide benefits, particularly in respiratory function and in patients who have been receiving enzyme replacement therapy for more than 2 years, as suggested by our secondary and subgroup analyses. Funding Amicus Therapeutics.
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- 2021
13. A risk-group classification model in patients with bladder cancer under neoadjuvant cisplatin-based combination chemotherapy
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Nicola Longo, Daniela Terracciano, Francesco Del Giudice, Giuseppe Lucarelli, Angelo Porreca, Pasquale Ditonno, Angelo Luciano, Carlo Buonerba, Alessandro Antonelli, Vincenzo Caputo, Rocco Damiano, Pasquale Dolce, Michele Marchioni, Fabio Crocerossa, Paolo Gontero, Stefania Zamboni, Matteo Manfredi, Antonio Verde, Michele Battaglia, Dario Ribera, Francesco Porpiglia, Gennaro Musi, Francesco Cantiello, Andrea Minervini, Felice Crocetto, Ottavio De Cobelli, Giuseppe Celentano, Vincenzo Cosimato, Mihai Dorin Vartolomei, Nicolae Crisan, Andrea Mari, Giorgio Ivan Russo, Abdal Rahman Abu Farhan, Francesco Greco, Francesco Soria, Francesco Chiancone, Luca Scafuri, Paola Del Prete, Rodolfo Hurle, Pietro De Placido, Giuseppe Di Lorenzo, Sergio Facchini, Matteo Ferro, Riccardo Autorino, Sisto Perdonà, Gian Maria Busetto, Ferro, Matteo, Lucarelli, Giuseppe, de Cobelli, Ottavio, Dolce, Pasquale, Terracciano, Daniela, Musi, Gennaro, Porreca, Angelo, Busetto, Gian Maria, Del Giudice, Francesco, Soria, Francesco, Gontero, Paolo, Cantiello, Francesco, Damiano, Rocco, Crocerossa, Fabio, Abu Farhan, Abdal Rahman, Autorino, Riccardo, Vartolomei, Mihai Dorin, Marchioni, Michele, Mari, Andrea, Minervini, Andrea, Longo, Nicola, Celentano, Giuseppe, Chiancone, Francesco, Perdonà, Sisto, Del Prete, Paola, Ditonno, Pasquale, Battaglia, Michele, Zamboni, Stefania, Antonelli, Alessandro, Greco, Francesco, Russo, Giorgio Ivan, Hurle, Rodolfo, Crisan, Nicolae, Manfredi, Matteo, Porpiglia, Francesco, Ribera, Dario, De Placido, Pietro, Facchini, Sergio, Scafuri, Luca, Verde, Antonio, Di Lorenzo, Giuseppe, Cosimato, Vincenzo, Luciano, Angelo, Caputo, Vincenzo Francesco, Crocetto, Felice, and Buonerba, Carlo
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Male ,Oncology ,Cancer Research ,medicine.medical_specialty ,medicine.medical_treatment ,030232 urology & nephrology ,Cystectomy ,Neoadjuvant chemotherapy ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Internal medicine ,Antineoplastic Combined Chemotherapy Protocols ,Humans ,Medicine ,Survival rate ,Aged ,Retrospective Studies ,Cisplatin ,Chemotherapy ,Bladder cancer ,business.industry ,Cholesterol ,Combination chemotherapy ,General Medicine ,Middle Aged ,medicine.disease ,Radical cystectomy ,Urinary Bladder Neoplasms ,chemistry ,Chemotherapy, Adjuvant ,030220 oncology & carcinogenesis ,Female ,Lymphadenectomy ,business ,medicine.drug - Abstract
The objective of the current research was to explore the potential prognostic value of readily available clinical and pathologic variables in bladder cancer. The novel association found between cholesterol levels and prognosis may provide the rationale for exploring novel treatments. Patients included had histologically confirmed urothelial bladder cancer and were treated with at least 3 cycles of cisplatin-based neoadjuvant chemotherapy before radical cystectomy with lymphadenectomy. A total of 245 patients at low, intermediate and high risk, presenting with 0-1, 2 or 3-4 risk factors, including positive lymph nodes, Hb 12.8, NLR ≥2.7 and cholesterol levels ≥199, were included. Five-year cancer-specific survival rate was 0.67, 0.78 and 0.94 at high, intermediate and low risk, respectively. Total cholesterol levels at the time of cystectomy may represent a commonly assessable prognostic factor and may be incorporated in a clinically meaningful risk-group classification model.Lay abstract This present study assessed a large group of patients with urothelial bladder cancer treated with chemotherapy followed by radical cystectomy, to capture the predictive power of commonly collected clinical, pathological and biochemical factors. The design of the study highlighted that higher cholesterol levels at the time of cystectomy were associated with shorter cancer-specific survival. This finding suggests that high blood-cholesterol levels truly have a negative influence on surviving cancer. In conclusion, total cholesterol levels at the time of cystectomy may represent a commonly assessable prognostic factor and could be incorporated into a clinically meaningful and valuable risk-group classification model.
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- 2021
14. Improvement of glycemic control and reduction of major cardiovascular events in 18 cardiovascular outcome trials: an updated meta-regression
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Lorenzo Scappaticcio, Katherine Esposito, Giuseppe Bellastella, Maria Ida Maiorino, Paolo Chiodini, Dario Giugliano, Miriam Longo, Maiorino, M. I., Longo, M., Scappaticcio, L., Bellastella, G., Chiodini, P., Esposito, K., and Giugliano, D.
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Blood Glucose ,Male ,Time Factors ,Endocrinology, Diabetes and Metabolism ,Meta-regression ,Type 2 diabetes ,Review ,DPP-4i ,Cardiovascular outcome trials ,Glycemic control ,Risk Factors ,Cause of Death ,Stroke ,Randomized Controlled Trials as Topic ,Hazard ratio ,Cardiorenal outcome ,Middle Aged ,GLP-1RA ,Hospitalization ,Treatment Outcome ,Cardiovascular Diseases ,Female ,Cardiology and Cardiovascular Medicine ,medicine.medical_specialty ,MACE ,Incretins ,Risk Assessment ,Glucagon-Like Peptide-1 Receptor ,Internal medicine ,Diabetes mellitus ,medicine ,Humans ,Diseases of the circulatory (Cardiovascular) system ,Sodium-Glucose Transporter 2 Inhibitors ,Glycemic ,Aged ,Glycated Hemoglobin ,Dipeptidyl-Peptidase IV Inhibitors ,business.industry ,Cardiorenal outcomes ,SGLT-2i ,Protective Factors ,medicine.disease ,Confidence interval ,Cardiovascular outcome trial ,Diabetes Mellitus, Type 2 ,RC666-701 ,business ,Mace ,Biomarkers - Abstract
Background Besides providing reassurance about cardiovascular (CV) safety of newer diabetes drugs, cardiovascular outcome trials (CVOTs) have also shown encouraging benefits on some CV endpoints. The contribution of the better glycemic control in the reduction of major cardiovascular events (MACE) remains an open question. The aim of this study is to evaluate the associations between the reduction of HbA1c and risk of MACE, MACE components, hospitalization for heart failure (HF) and all-cause death in CVOTs. Methods An electronic search up to July 2021 was conducted to determine eligible trials. Systematic review identified eighteen CVOTs reporting prespecified CV outcomes. Pooled summary estimates and 95% confidence intervals (CI) were calculated according to the random effects model using the Paule-Mandel method; restricted maximum likelihood estimators were used to estimate model parameters in the metaregression. Results The eighteen CVOTs evaluated 161,156 patients and included four trials with dipeptidyl-peptidase-4 inhibitors (DPP-4i), eight trials with glucagon-like peptide-1 receptor agonists (GLP-1RA) and six trials with sodium-glucose cotransporter-2 inhibitors (SGLT-2i). Random-effects model meta-analysis showed an association between treatment and risk of MACE (hazard ratio [HR] 0.90; 95% CI 0.86, 0.94, P 2 = 45.2%, Q statistic P = 0.040). In meta-regression, there was an association between the reduction in HbA1c at the end of the trial and the HR reduction for MACE (beta = − 0.298, P = 0.007), with significant heterogeneity (I2 = 40%, Q statistic P = 0.04); this association was totally driven by the risk reduction of non-fatal stroke, which explained 100% of between-study variance (beta = − 0.531, R2 = 100%), without heterogeneity (I2 = 24%, Q statistic P = 0.206). There was no association between the reduction in HbA1c and the HR for heart failure or all-cause death. Conclusions The reduction of HbA1c in eighteen CVOTs was significantly associated with reduction of non-fatal stroke, explaining all (R2 = 100%) of the between-study variance. While the contribution of glucose lowering in some CV benefits of newer agents does not influence their indications for the patient with type 2 diabetes, it may hopefully facilitate their use.
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- 2021
15. Environmental assessment of a waste-to-energy practice: The pyrolysis of agro-industrial biomass residues
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Sonia Longo, Francesco Guarino, Marina Mistretta, Maurizio Cellura, Maria Anna Cusenza, Antonio Messineo, Maurizio Volpe, Cusenza, Maria Anna, Longo, Sonia, Cellura, Maurizio, Guarino, Francesco, Messineo, Antonio, Mistretta, Marina, and Volpe, Maurizio
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Life cycle assessment, Sustainable energy supply, Circular economy, Bio-waste, Bio-char, Waste-to-energy, Pyrolysis ,Settore ING-IND/11 - Fisica Tecnica Ambientale ,Environmental Engineering ,Renewable Energy, Sustainability and the Environment ,business.industry ,Environmental engineering ,Biomass ,Context (language use) ,Industrial and Manufacturing Engineering ,Waste-to-energy ,Biochar ,Environmental Chemistry ,Environmental science ,Environmental impact assessment ,business ,Life-cycle assessment ,Thermal energy ,Renewable resource - Abstract
The bio-wastes pyrolysis is a waste to energy strategy that converts bio-wastes into valuable products (bio-char, bio-oil) with wide use in the agri-food sector. However, limited efforts are paid to the investigation of its environmental sustainability: in this context, the study contributes the need towards the assessment of a wide range of environmental impacts for the pyrolysis process of different types of bio-wastes under different operating conditions. The study estimates the potential environmental impacts related to bio-char production from the pyrolysis of several different agro-industrial residues and different temperatures and identifies the process “hot spots”. The analysis is carried out through the life cycle assessment methodology. The functional unit for the analysis is 1 MJ of thermal energy potentially released during the complete combustion of bio-char obtained from the pyrolysis process. The study highlights that, under the examined conditions, the type of biomass affects the environmental impacts of the pyrolysis process more than the peak pyrolysis temperature. Among the biomasses tested, bio-char obtained from orange peels has the lower environmental impacts, with an average percentage difference of about 16% compared to bio-char obtained from olive tree trimmings that has the worst environmental performance. For each biomass, the impacts associated to bio-char obtained with different operational temperatures have percentage differences in general lower than 5%. A contribution analysis shows that the electricity consumed during the operational phase is responsible for the largest impacts in all the examined impact categories, followed by bio-wastes transportation. In detail, the contribution of the electricity to the total impact ranges from minimum values of about 44% (for cumulative energy demand) up to 91% (for terrestrial eutrophication), while transportation contributions range from a minimum of about 4% (for terrestrial and marine eutrophication) to 36% for mineral, fossil and renewable resource depletion. Therefore, the use of more energy efficient processes and technologies and the diffusion of distributed pyrolysis systems near farms can significantly improve the environmental performance of the system examined.
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- 2021
16. Sustainable production and consumption in remote working conditions due to COVID-19 lockdown in Italy: An environmental and user acceptance investigation
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Sonia Longo, Claudia Fabiani, Anna Laura Pisello, Maurizio Cellura, Fabiani C., Longo S., Pisello A.L., and Cellura M.
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Consumption (economics) ,Settore ING-IND/11 - Fisica Tecnica Ambientale ,Environmental Engineering ,Variables ,Renewable Energy, Sustainability and the Environment ,media_common.quotation_subject ,COVID-19, Environmental impact, Life cycle assessment, Multi-criteria sustainability, Remote working, Survey, User acceptance ,COVID-19 ,Service provider ,Environmental economics ,Discount points ,Industrial and Manufacturing Engineering ,Remote working ,Environmental impact ,Multi-criteria sustainability ,User acceptance ,Life cycle assessment ,Work (electrical) ,Greenhouse gas ,Environmental Chemistry ,Job satisfaction ,Environmental impact assessment ,Business ,Survey ,media_common - Abstract
In response to the disruptive changes brought upon our society by the COVID-19 pandemic, most work activities and service providers had to resort to remote working. This is credited to reduce emissions for transportation, however the role of forced confinement within dwellings, especially if not designed for hosting working stations, deserves to be properly evaluated in terms of both user acceptance and long-term environmental impact. In this work, a dedicated survey campaign is used for investigating the potential pros and cons of remote working. In more detail, logistic regression and generalized linear models are used for capturing the effect of several independent variables on user acceptance of remote working. At a later stage, the main greenhouse gas emissions produced by each participant before and during remote working are assessed. According to the obtained results, the greater the distance between their home and workplace, the higher the acceptance score declared by the survey participants about remote working. Additionally, higher incomes and better-quality lifestyles with larger devotion to leisure activities also provide higher acceptance. Finally, the existence of a comfortable room to be used for work activities plays a crucial role on the declared acceptance. From an environmental point of view, remote working is always sustainable in case of long commuting distances (above 10 km) are avoided on a daily routine. In conclusion, a sensible use of remote working could reduce the environmental impact of any organization employing desk-workers as well as improve their work satisfaction and lifestyle.
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- 2021
17. The impact of gastrojejunostomy orientation on delayed gastric emptying after pancreaticoduodenectomy: a single center comparative analysis
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Caterina Cina, Fabio Longo, Ludovica Di Cesare, Roberta Menghi, Carlo Alberto Schena, Fausto Rosa, Davide De Sio, Giuseppe Quero, Claudio Fiorillo, Sergio Alfieri, and Vito Laterza
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medicine.medical_specialty ,Gastroparesis ,Settore MED/18 - CHIRURGIA GENERALE ,medicine.medical_treatment ,Gastric Bypass ,Anastomosis ,Single Center ,Gastroenterology ,Pancreaticoduodenectomy ,Postoperative Complications ,Internal medicine ,inglese ,medicine ,Humans ,Retrospective Studies ,Hepatology ,Upper gastrointestinal series ,Gastric emptying ,business.industry ,Stomach ,Incidence (epidemiology) ,fungi ,medicine.anatomical_structure ,Gastric Emptying ,Complication ,business - Abstract
Background Delayed gastric emptying (DGE) represents the most frequent complication after pancreaticoduodenectomy (PD). Aim of this study was to evaluate the impact of gastrojejunostomy (GJ)orientation on DGE incidence after PD. Methods One-hundred and twenty-one consecutive PDs were included in the analysis and divided in the horizontal (H-GJ group) and vertical GJ anastomosis groups (V-GJ group). Postoperative data and the value of the flow angle between the efferent jejunal limb and the stomach of the GJ anastomosis at the upper gastrointestinal series were registered. Results Seventy-five patients (62%)underwent H-GJ, while 46 patients (38%)underwent V-GJ. The incidence of DGE was significantly lower in the V-GJ group as compared to the H-GJ group (23.9%vs45.3%; p = 0.02). V-GJ was also associated to a less severe DGE manifestation (p = 0.006). The flow angle was significantly lower in case of V-GJ as compared to H-GJ (24.5°vs37°; p = 0.002). At the multivariate analysis, ASA score≥3 (p = 0.02), H-GJ (p = 0.03), flow angle>30°(p = 0.004) and Clavien-Dindo≥3 (p = 0.03) were recognized as independent prognostic factors for DGE. These same factors were independent prognostic features also for a more severe DGE manifestation. Conclusion VGJ and the more acute flow angle appear to be associated to a lower incidence rate and severity of DGE. This modified technique should be considered by surgeons in order to reduce postoperative DGE occurrence.
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- 2022
18. Clinical course and seroprevalence of COVID-19 in children with rheumatic diseases—cross-sectional study from a reference centre in Spain
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Claudia Millan-Longo, Rosa Alcobendas, Cristina Calvo, Sara Murias, Laura Valladares, Iker Falces-Romero, Monica Morales-Higuera, Agustin Remesal, Clara Udaondo, Celia Permuy, and Celia Muñoz
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Male ,Coronavirus disease 2019 (COVID-19) ,Cross-sectional study ,business.industry ,SARS-CoV-2 ,Clinical course ,COVID-19 ,General Medicine ,Cross-Sectional Studies ,Rheumatology ,Seroepidemiologic Studies ,Spain ,Environmental health ,Rheumatic Diseases ,Seroprevalence ,Medicine ,Humans ,Female ,business ,Child - Abstract
Background Patients with rheumatic diseases have been considered at risk of COVID-19. A significant percentage of infections in children are asymptomatic or mild and can go unnoticed. This study aims to describe the seroprevalence of SARS-CoV-2 in a cohort of children with rheumatic diseases and assess possible risk factors. Methods: A cross-sectional study was performed in a pediatric rheumatology unit from a reference hospital in Madrid, from September 2020 to February 2021. Serology of SARS-CoV-2 was performed at the same time as their routine laboratory tests, and a specific questionnaire was completed by parents. Demographics, treatment and disease activity from laboratory-confirmed COVID-19 patients were compared to the data of patients without laboratory-confirmed COVID-19.Findings A total of 105 children were included. SARS-CoV-2 infection was demonstrated in 27 patients (25.7%): 6 PCR and 21 positive IgG serology. The mean age was 11.8 years , and the majority of the patients were females (72.4%). Most of the children were diagnosed with juvenile idiopathic arthritis (JIA) (70.3%; 19/27), followed by PFAPA (11.1%; 3/27). Immunosuppresive treatment was given in 88% of cases (24/27). Overall, 44.4% (12/27) of infected patients were asymptomatic. Three patients required hospital admission because of COVID-19, however none of them required oxygen supplementation. A total of 66.7% (18/27) of patients did not require any treatment or medical assistance. The seroprevalence in our cohort was 20% in contrast to the 7.7% population seroprevalence observed during the same study period in Spanish children. SARS-CoV-2 confirmed children with positive IgG or PCR were less frequently in remission (52% vs 72%; p 0.014). Moderate disease activity and treatment with oral corticosteroids were associated with higher risk for COVID-19 (OR 5.05; CI 95%: 1.56 - 16.3 and OR 4.2; CI 95%: 1.26 - 13.9 respectively). Conclusions In a cohort of pediatric patients with rheumatic disease and immunosuppressive therapy, moderate disease activity and oral corticosteroids were associated with COVID-19 positive patients. Seroprevalence was significantly higher compared to the same age healthy population. The clinical manifestations were mild and there were no severe infections among the patients.
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- 2022
19. Lupeol Stearate Accelerates Healing and Prevents Recurrence of Gastric Ulcer in Rodents
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Priscila de Souza, Cássia Gonçalves Magalhães, Lucienir Pain Duarte, Luísa Nathália Bolda Mariano, Bruna Longo, Luisa Mota da Silva, Elizama de Gregório, Philipe Costa, Aline Teixeira Maciel e Silva, Claudriana Locatelli, Lincon Bordignon Somensi, and Thaise Boeing
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chemistry.chemical_compound ,nervous system ,genetic structures ,chemistry ,Article Subject ,Complementary and alternative medicine ,Stearate ,business.industry ,Medicine ,Pharmacology ,business ,digestive system diseases ,Lupeol - Abstract
The gastric healing and gastric ulcer recurrence preventive effect of Lupeol Stearate (LS) was measured in this study. To evaluate the gastric healing effect, rats were submitted to the 80% acetic acid-induced ulcer model and treated with vehicle (1 ml/kg, p.o.), LS (1 mg/kg, p.o.) or omeprazole (20 mg/kg, p.o.) twice a day for seven days. The gastric injury was evaluated macroscopically, histologically and histochemical; and biochemical parameters were also quantified. To evaluate the effects of LS on gastric ulcer recurrence, mice were ulcerated by gastric instillation of 10% acetic acid and treated with vehicle (1 ml/kg, p.o.), LS (1 mg/kg, p.o.) or ranitidine (20 mg/kg, p.o.) twice a day for ten days. Then, the ulcer recurrence in these animals was induced by IL- 1β (1 µg/kg i.p) at five day after the end of the treatment period. The area of the lesion recurred were measured, as well as the activity of myeloperoxidase and TNF levels. Oral treatment with LS accelerated gastric healing by 63% compared to the group treated with vehicle, which was also evidenced by histological improvement and increased production of mucin in the gastric epithelium. LS elevated the activity of the glutathione S-transferase and reduced the activity of myeloperoxidase, but did not change the levels of reduced glutathione or the activity of superoxide dismutase and catalase at the ulcer site in rats. Regarding the recurrence, the LS treatment reduced the recurred lesions, reducing MPO activity but not TNF levels at ulcer site. It can be concluded that LS promotes the healing of gastric lesions by favoring the mucus production and reducing the migration of neutrophils and that it can reduce the severity of the ulcer recurrence.
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- 2022
20. Evaluation of dermatoscopic criteria for early detection of squamous cell carcinoma arising on an actinic keratosis
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Sofia Magdalini Manoli, Konstantinos Liopyris, Konstantinos Lallas, Elizabeth Lazaridou, Caterina Longo, Aimilios Lallas, Zoe Apalla, Michela Lai, and Chryssoula Papageorgiou
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medicine.medical_specialty ,Skin Neoplasms ,Erythema ,Dermatology ,Diagnosis, Differential ,030207 dermatology & venereal diseases ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Humans ,Basal cell ,Stage (cooking) ,Retrospective Studies ,Dermatoscopy ,medicine.diagnostic_test ,business.industry ,Actinic keratosis ,Odds ratio ,medicine.disease ,Keratosis, Actinic ,stomatognathic diseases ,030220 oncology & carcinogenesis ,Carcinoma, Squamous Cell ,Skin cancer ,Differential diagnosis ,medicine.symptom ,business - Abstract
Background Advanced squamous cell carcinoma (SCC) can be discriminated easily from actinic keratosis (AK) based on clinical and dermatoscopic features. However, at the initial stage of dermal invasion, SCC might still be clinically flat and discrimination from AK remains challenging, even with the addition of dermatoscopy. Objective The aim of this study was to investigate the clinical and dermatoscopic criteria that could suggest early invasion and serve as potent predictors to discriminate early SCC from AK. Methods Clinical and dermatoscopic images of histopathologically diagnosed AKs and early SCCs were evaluated for the presence of predefined criteria by 3 independent investigators. Results A total of 50 early SCCs and 45 AKs were included. The main positive dermatoscopic predictors of early SCC were dotted/glomerular vessels (odds ratio [OR] 3.83), hairpin vessels (OR 12.12), and white structureless areas (OR 3.58), whereas background erythema represented a negative SCC predictor (OR 0.22). Limitations The retrospective evaluation of images. Moreover, the differential diagnosis included in the study is restricted between AK and early SCC. Conclusions We identified potent predictors for the discrimination of AK and early SCC that may better guide management decisions in everyday clinical practice.
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- 2022
21. Melanomas of the scalp: is hair coverage preventing early diagnosis?
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Helena Collgros, Scott W. Menzies, Amanda Regio Pereira, Sergio Henrique Hirata, Martina Lambertini, Caterina Longo, Pascale Guitera, Emi Dika, Angela Lobato Williams, Giuseppe Argenziano, Elisa Benati, Bruna M. Gallo, Pereira A.R., Collgros H., Guitera P., Benati E., Longo C., Argenziano G., Dika E., Lambertini M., Menzies S.W., Lobato Williams A., Gallo B.M., Hirata S.H., Pereira, A. R., Collgros, H., Guitera, P., Benati, E., Longo, C., Argenziano, G., Dika, E., Lambertini, M., Menzies, S. W., Lobato Williams, A., Gallo, B. M., and Hirata, S. H.
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medicine.medical_specialty ,Skin Neoplasms ,Dermatology ,Breslow Thickness ,030207 dermatology & venereal diseases ,03 medical and health sciences ,0302 clinical medicine ,Humans ,Medicine ,Head and neck ,Melanoma ,Scalp ,integumentary system ,business.industry ,Photographic documentation ,Diagnosis delay ,Australia ,Mitotic rate ,Prognosis ,Early Diagnosis ,medicine.anatomical_structure ,Italy ,Head and Neck Neoplasms ,030220 oncology & carcinogenesis ,business - Abstract
Background: Scalp melanomas are usually thicker and show worse prognosis than other sites and other head and neck melanomas. One hypothesis to explain this aggressive behavior could be diagnosis delay attributed to hair concealment of lesions. Methods: Primary melanomas of the scalp diagnosed over two decades at four reference centers in Australia and Italy were included. Hair coverage and visibility of the lesions were assessed on preoperative photographic documentation by two investigators and correlated with some prognostic factors (Breslow thickness, mitotic rate, and ulceration). Patients records and pathology reports provided clinical and histological data. Results: The majority of 113 melanomas included were located on easily visible areas of the scalp – hairless scalp (49%) or hairline (15%). The remaining ones (36%), considered to be hair-covered, showed more frequently thinning of hair (63%) than a dense hair coverage (37%). Melanomas of “hairy scalps” were more frequently invasive (81%) and had higher median Breslow (0.8±1.3mm) than those arising on bald scalps or areas with thinning of hair (43%; 0±0.6mm), P=0.004. However, when considering only the invasive cases (n=55), Breslow thickness and mitotic rate were not statistically different between concealed and easily visible areas. Melanomas detected by a doctor were thinner than those first noticed by the patient, relatives, or a hairdresser (P 
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- 2020
22. YouTube TM as a source of information on bladder pain syndrome: A contemporary analysis
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Luigi Napolitano, Marco Capece, Claudia Collà Ruvolo, Gerardo Gerundo, Giuseppe Celentano, Alberto Melchionna, Ferdinando Fusco, Carmine Turco, Massimiliano Creta, Roberto La Rocca, Francesco Trama, Simone Morra, Nicola Longo, Francesco Mangiapia, Gianluigi Califano, Simone Cilio, Vincenzo Mirone, Morra, Simone, Collà Ruvolo, Claudia, Napolitano, Luigi, La Rocca, Roberto, Celentano, Giuseppe, Califano, Gianluigi, Creta, Massimiliano, Capece, Marco, Turco, Carmine, Cilio, Simone, Melchionna, Alberto, Gerundo, Gerardo, Trama, Francesco, Mangiapia, Francesco, Fusco, Ferdinando, Mirone, Vincenzo, and Longo, Nicola
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medicine.medical_specialty ,business.industry ,Bladder Pain Syndrome ,social media ,Urology ,Interstitial cystitis ,medicine.disease ,Correlation ,Interquartile range ,Internal medicine ,Quality Score ,medicine ,internet ,Neurology (clinical) ,Misinformation ,interstitial cystiti ,misinformation ,business - Abstract
Aim: To evaluate the quality of YouTube™ videos on bladder pain syndrome (BPS) and to investigate whether they can be used as a reliable source of information. Methods: The search term "bladder pain syndrome" was used on YouTubeTM platform. The first 100 videos were selected. Patient Education Materials Assessment Tool for audio-visual content (PEMAT A/V), Global Quality Score (GQS), Misinformation tool, and DISCERN score were used to assess videos' quality content. Pearson's test was used to assess potential correlations between variables. Results: Seventy-nine videos were suitable for the analyses. The median PEMAT A/V Understandability score and PEMAT A/V Actionability score were 66.7% (interquartile range [IQR]: 46.2-100.0) and 75.0% (IQR: 37.5-100.0), respectively. According to GQS, 26 (32.9%), 32 (40.5%), 3 (3.8%), 15 (19.0%), and 3 (3.8%) videos were excellent, good, moderate, generally poor, and poor, respectively. According to Misinformation tool, of all videos, 81% (n = 64), 6.3% (n = 5), 5.1% (n = 4), 5.1% (n = 4), 2.5% (n = 2) had respectively no, very little, moderate, high, and extreme misinformation. The overall median DISCERN score ranged from 5.0 (IQR: 2.0-5.0) to 5.0 (IQR: 5.0-5.0). A positive statistically significant correlation was found between video length and PEMAT A/V Understandability (r = 0.27, p = 0.01), video length and PEMAT A/V Actionability (r = .26, p = 0.02), and video length and DISCERN Question 16 (r = 0.28, p = 0.01). Conclusions: Nowaday, the overall quality of YouTubeTM videos on BPS have been evaluated good according to PEMAT A/V, GQS, Misinformation tool, and DISCERN score. It is possible to assume that YouTubeTM may be considered as a reliable source of information on BPS.
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- 2021
23. Improving the reliability of photometric redshift with machine learning
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Oleksandra Razim, Giuseppe Riccio, Stefano Cavuoti, Giuseppe Longo, Massimo Brescia, Mara Salvato, Razim, O., Cavuoti, S., Brescia, M., Riccio, G., Salvato, M., and Longo, G.
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media_common.quotation_subject ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,FOS: Physical sciences ,Astrophysics::Cosmology and Extragalactic Astrophysics ,Machine learning ,computer.software_genre ,01 natural sciences ,Cosmology ,0103 physical sciences ,Galaxy formation and evolution ,survey ,Quality (business) ,Instrumentation and Methods for Astrophysics (astro-ph.IM) ,010303 astronomy & astrophysics ,Astrophysics::Galaxy Astrophysics ,Reliability (statistics) ,media_common ,Photometric redshift ,Physics ,010308 nuclear & particles physics ,business.industry ,Astronomy and Astrophysics ,Galaxy ,Redshift ,galaxies: distances and redshift ,Space and Planetary Science ,Artificial intelligence ,catalogue ,Astrophysics - Instrumentation and Methods for Astrophysics ,business ,methods: data analysi ,computer ,techniques: spectroscopic - Abstract
In order to answer the open questions of modern cosmology and galaxy evolution theory, robust algorithms for calculating photometric redshifts (photo-z) for very large samples of galaxies are needed. Correct estimation of the various photo-z algorithms' performance requires attention to both the performance metrics and the data used for the estimation. In this work, we use the supervised machine learning algorithm MLPQNA to calculate photometric redshifts for the galaxies in the COSMOS2015 catalogue and the unsupervised Self-Organizing Maps (SOM) to determine the reliability of the resulting estimates. We find that for spec-z, 26 pages, 15 figures, accepted for publication in MNRAS
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- 2021
24. Toward Individualized Approaches to Partial Nephrectomy: Assessing the Correlation Between Ischemia Time and Patient Health Status (RECORD2 Project)
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Andrea Mari, Marco Carini, Alessandro Larcher, Eugenio Brunocilla, Bernardo Rocco, Riccardo Tellini, Vincenzo Li Marzi, Alessandro Antonelli, Andrea Gallioli, Luigi F. Da Pozzo, Luigi Schips, Umberto Capitanio, Andrea Minervini, Paolo Gontero, Carlo Trombetta, Daniele Amparore, Salvatore Siracusano, Fabrizio Di Maida, Vincenzo Mirone, Riccardo Schiavina, Claudio Simeone, Pierluigi Bove, Vincenzo Ficarra, Carlo Terrone, Walter Artibani, Francesco Porpiglia, Cristian Fiori, Carlo Andrea Bravi, Francesco Montorsi, Nicola Longo, Roberto Bertini, Bravi, Carlo Andrea, Mari, Andrea, Larcher, Alessandro, Amparore, Daniele, Antonelli, Alessandro, Artibani, Walter, Bertini, Roberto, Bove, Pierluigi, Brunocilla, Eugenio, Da Pozzo, Luigi, di Maida, Fabrizio, Fiori, Cristian, Gallioli, Andrea, Gontero, Paolo, Li Marzi, Vincenzo, Longo, Nicola, Mirone, Vincenzo, Porpiglia, Francesco, Rocco, Bernardo, Schiavina, Riccardo, Schips, Luigi, Simeone, Claudio, Siracusano, Salvatore, Tellini, Riccardo, Terrone, Carlo, Trombetta, Carlo, Ficarra, Vincenzo, Carini, Marco, Montorsi, Francesco, Capitanio, Umberto, and Minervini, Andrea
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medicine.medical_specialty ,Acute kidney injury ,Multimodal approach ,Nephron-sparing surgery ,Partial nephrectomy ,Preoperative counseling ,Renal cell carcinoma ,Renal function ,Warm ischemia ,Health Status ,Humans ,Prospective Studies ,Retrospective Studies ,Ischemia ,Nephrectomy ,Urology ,medicine.medical_treatment ,030232 urology & nephrology ,Context (language use) ,urologic and male genital diseases ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Medicine ,Radiology, Nuclear Medicine and imaging ,Radical surgery ,urogenital system ,business.industry ,Absolute risk reduction ,medicine.disease ,female genital diseases and pregnancy complications ,Settore MED/24 ,Oncology ,030220 oncology & carcinogenesis ,Acute kidney injury, Multimodal approach, Nephron-sparing surgery, Partial nephrectomy, Preoperative counseling, Renal cell carcinoma, Renal function, Warm ischemia ,Cardiology ,Surgery ,business - Abstract
BACKGROUND: Ischemia time during partial nephrectomy (PN) is among the greatest determinants of acute kidney injury (AKI). Whether this association is affected by the preoperative risk of AKI has never been investigated.OBJECTIVE: To assess the effect of the interaction between the preoperative risk of AKI and ischemia time on the probability of AKI during PN.DESIGN, SETTING, AND PARTICIPANTS: Data of 944 patients treated with on-clamp PN for cT1 renal tumors were extracted from the Registry of Conservative and Radical Surgery for Cortical Renal Tumor Disease (RECORD2) database, a prospective multicenter project.OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: We estimated the preoperative risk of AKI (defined according to the risk/injury/failure/loss/end-stage [RIFLE] criteria) according to age, baseline renal function, clinical stage, preoperative aspects and dimensions used for an anatomical (PADUA) score, and surgical approach. Classification and regression tree (CART) analysis identified patients at "high" and "low" risk of AKI. Finally, we plotted the probability of AKI over ischemia time stratified by the preoperative risk of AKI.RESULTS AND LIMITATIONS: Overall, 235 (25%) patients experienced AKI after surgery. At multivariable analysis, older patients, those with more complex tumors, those with higher baseline function, and those treated with open surgery had an increased risk of AKI (all p ≤ 0.011). According to the first split at CART analysis, patients were categorized as those with "high" and "low" risk of AKI having a probability of >40% or 20 min of ischemia was 13% versus 28% (absolute risk increase 15%). The risk of AKI for high-risk patients who had 20 min of ischemia was 31% versus 77%. This corresponds to an absolute risk increase of 45%. Limitations include retrospective data analyses and lack of surgeons' prior experience.CONCLUSIONS: Ischemia time during PN has different implications for patients with different health status. Clamp time seems less clinically relevant for patients in good conditions who may endure prolonged ischemia with a mild increase in the risk of AKI, whereas frail patients seem to be more vulnerable to ischemic damage even for short clamp time. For individualized intra- and postoperative management, duration of ischemia needs to be questioned in the context of the individual health status.PATIENT SUMMARY: Functional sequelae related to ischemia time during partial nephrectomy depend on baseline health status. The correlation between the duration of ischemia and baseline health status should be taken into account toward individualized intra- and postoperative management.
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- 2021
25. A Magnetic Resonance-Compatible Wearable Device Based on Functionalized Fiber Optic Sensor for Respiratory Monitoring
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Carlo Massaroni, Martina Zaltieri, Rosaria D'Amato, Arianna Carnevale, Emiliano Schena, Michele Arturo Caponero, Domenico Formica, Umile Giuseppe Longo, Joshua Di Tocco, Riccardo Sabbadini, Daniela Lo Presti, Presti, D. L., Massaroni, C., Zaltieri, M., Sabbadini, R., Carnevale, A., Tocco, J. D., Longo, U. G., Caponero, M. A., D'Amato, R., Schena, E., and Formica, D.
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Fiber gratings ,Materials science ,business.industry ,010401 analytical chemistry ,Wearable computer ,wearable device ,Respiratory monitoring ,functionalizedFBGs ,Wearable systems ,respiratorymonitoring ,01 natural sciences ,0104 chemical sciences ,MR compatible systems ,BG sensors ,Fiber Bragg grating ,Fiber optic sensors ,Fiber optic sensor ,Respiratory frequency ,Nasal airflow ,Optoelectronics ,Electrical and Electronic Engineering ,business ,Instrumentation - Abstract
There is a growing demand of comfortable and unobtrusive wearable systems for monitoring a variety of physiological parameters and in particular the respiratory frequency ( ${f}_{R}$ ). The most popular techniques for ${f}_{R}$ monitoring cannot be used in several clinical applications and in unstructured environment. These issues have fostered a dramatic growth of interest for wearable systems devoted to monitor ${f}_{R}$ . In this arena, fiber Bragg grating (FBG) sensors have gained due to a variety of benefits. In this work, we designed and fabricated an FBG-based wearable device for ${f}_{R}$ monitoring from the nasal airflow. The proposed design does not require a mask to improve the comfortability and acceptability of the system. The sensing element was functionalized by a hygroscopic coating material to make the FBG sensitive to relative humidity changes. This feature allows calculating ${f}_{R}$ starting from the discrimination between the inspiration and expiration phases. A pilot study on 6 volunteers was designed to assess the system during three different breathing stages (i.e., slow, normal and fast breathing). Results showed high performance of the proposed wearable device in detecting mean and breath-by-breath ${f}_{R}$ values (i.e., mean percentage errors ≤ 2.29 % and bias ≤ 0.31 breaths per minute) during slow breathing, normal breathing, and fast breathing.
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- 2021
26. A remote foaming experiment
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Alessandra Longo, Valerio Loianno, Daniele Tammaro, Pier Luca Maffettone, Ernesto Di Maio, Loianno, V., Longo, A., Tammaro, D., Di Maio, E., and Maffettone, P. L.
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Engineering ,Class (computer programming) ,Multimedia ,business.industry ,Process (engineering) ,General Chemical Engineering ,05 social sciences ,050301 education ,Cloud computing ,02 engineering and technology ,computer.software_genre ,Education ,Test (assessment) ,Remote experimentPolymer processingFoaming ,020401 chemical engineering ,Active learning ,ComputingMilieux_COMPUTERSANDEDUCATION ,Process control ,Doors ,Robot ,0204 chemical engineering ,business ,0503 education ,computer - Abstract
The 2019 pandemic locked lab doors to students and guest colleagues, with an impoverishment for all. Inspired by the 2015 work on "cloud chemistry" at the University of Nottingham, we designed an experimental facility to go beyond doors and boundaries (Skilton et al., 2015). On December 16th, 2020, an entire class of grad students virtually entered the foamlab of the University of Naples Federico II and remotely performed a plastic foaming experiment. The autoclave design, the plastic granules-handling robot, the process control and the vision acquisition system were all engineered to allow easy control by inexperienced operators and to guarantee safety to the local instructor. The digitalization of the foaming process is an exhaustive and modern pedagogical activity whereby chemical engineering and materials science and engineering students test their knowledge of transport phenomena, thermodynamics and process control. Students' response was enthusiastic: each of them felt at the centre of the active learning process.
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- 2021
27. Digitalization of Healthcare Processes Through BPMN for Clinical Risk Monitoring and Management
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Cartelli, Vincenzo, Longo, Leonardo, Tomarchio, Orazio, and Trapani, Natalia
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Risk ,Process ,Digitalization, Healthcare, Business, Process, Management, Risk, BPMN ,Healthcare ,Business ,BPMN ,Digitalization ,Management - Published
- 2023
28. The 'reverse air leak test': a new technique for the assessment of low colorectal anastomosis
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Francesco Crafa, Mario Baiamonte, Francesco Esposito, Amalia Rosaria Rita Rossetti, Valeria Gianfreda, Antonio Longo, and Augusto Striano
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Leak ,medicine.medical_specialty ,business.industry ,Fistula ,Gastroenterology ,Rectum ,Anastomosis ,Anus ,medicine.disease ,Surgery ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,medicine.anatomical_structure ,Suture (anatomy) ,chemistry ,030220 oncology & carcinogenesis ,medicine ,030211 gastroenterology & hepatology ,Complication ,business ,Indocyanine green - Abstract
Background Anastomotic leakage is a fearsome complication in rectal surgery. Surgeons perform the classic air-leak test, although its real effectiveness is still debated. The aim of this study was to describe a personal technique of reverse air leak test in which low colorectal anastomosis were assessed transanally through the intra-rectal irrigation of a few mL of saline solution. Methods From October 2014 to November 2019 eleven patients with low rectal cancer (Type 1 in Roullier classification) were included in this study. At the beginning of the procedure, a circular anal dilator (CAD) was inserted into the anus. A side-to-end colorectal anastomosis was performed. A few mL of saline solution were injected into the rectum and the entire anastomotic line was directly explored. The appearance of bubbles was considered as an anastomotic defect and repaired with an interrupted suture. A fluorescence angiography after intravenous injection of Indocyanine green was performed in order to evaluate the perfusion of the anastomosis. Results In 4 cases (36.3%) the reverse air-leak test was positive. The defect was repaired and a confirmation test was performed. In all patients, near-infrared evaluation showed not perfusion defect (grade 0) in low colorectal anastomosis. No post-operative fistula was detected in cohort study. A protective stoma was performed in 10 patients. At 90-days there were no complications and stoma closure was performed as planned. Conclusion The reverse air-leak test is a simple, feasible and effective procedure to identify anastomotic leak in low colorectal anastomoses.
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- 2022
29. Trends in hospitalisation of Subtalar Joint Arthroereisis in Italy from 2009 to 2016
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Vincenzo Denaro, Ilaria Piergentili, Umile Giuseppe Longo, Leonardo Oggiano, Pier Francesco Costici, Laura Ruzzini, Sergio De Salvatore, and Rocco Papalia
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Male ,030222 orthopedics ,Pediatrics ,medicine.medical_specialty ,business.industry ,Incidence (epidemiology) ,Subtalar joint arthroereisis ,Subtalar Joint ,030229 sport sciences ,Flatfoot ,Hospitalization ,03 medical and health sciences ,0302 clinical medicine ,Italy ,Hospital discharge ,Humans ,Medicine ,Orthopedics and Sports Medicine ,Christian ministry ,In patient ,business ,Flexible Flatfoot - Abstract
Subtalar Joint Arthroereisis (SJA) is the most used technique for the treatment of flexible flatfoot. Limited data are reported to trends of hospitalisation for SJA. This study aimed to estimate annual admissions and the geographical distribution of SJA in young Italian patients from 2009 to 2016.Data of this study were collected from the National Hospital Discharge Reports reported at the Italian Ministry of Health. The yearly number of SJA, sex, age and days of hospitalisation were calculated. Public and Private hospitalisations have been analysed individually.1.6762 hospitalisations for SJA were performed in Italy during the study period, and the incidence increased from 8.22 to 117.08 (cases/100,000 inhabitants). Men represented the majority of young patients treated by SJA. The mean length of stay was 1.55 ± 0.818 days.The prevalence of admissions of young patients for SJA increases from 2009 to 2016. The majority of the procedure was performed in public hospitals, but a shorter length of stay was reported in patients treated in private hospitals (p 0.001). This study highlighted the limits of ICD-9; in fact, difficulties in procedure codification and heterogeneity in diagnosis and procedures performed were reported.
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- 2022
30. Early introduction oral immunotherapy for IgE‐mediated cow's milk allergy: A follow‐up study confirms this approach as safe and appealing to parents
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Giorgio Longo, Giulia Peruch, Fulvio Celsi, Laura Levantino, Irene Berti, Egidio Barbi, Valentina Carrato, Laura Badina, Badina, L., Levantino, L., Carrato, V., Peruch, G., Celsi, F., Barbi, E., Berti, I., and Longo, G.
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cow's milk allergy ,desensitization ,early introduction oral immunotherapy ,tolerance ,0301 basic medicine ,Parents ,Pediatrics ,medicine.medical_specialty ,Early introduction ,Oral immunotherapy ,medicine.medical_treatment ,Immunology ,Milk allergy ,medicine.disease_cause ,03 medical and health sciences ,0302 clinical medicine ,Allergen ,medicine ,Immunology and Allergy ,Animals ,Humans ,Desensitization (medicine) ,Oral food challenge ,business.industry ,Original Articles ,RC581-607 ,Immunoglobulin E ,medicine.disease ,030104 developmental biology ,Desensitization, Immunologic ,Cohort ,Original Article ,Cattle ,Female ,Immunologic diseases. Allergy ,Milk Hypersensitivity ,business ,Historical Cohort ,030215 immunology ,Follow-Up Studies - Abstract
Introduction Early introduction oral immunotherapy (E‐OIT) in the first year of life can be a safe treatment for infants with cow's milk allergy (CMA). Once the protocol is completed, doubts remain whether children achieve tolerance or remain desensitized. According to current guidelines, this is determined by an avoidance period followed by a re‐exposure to the food allergen during an in‐hospital oral food challenge (OFC). In real life, this approach can be complicated, time‐consuming, and anxiety‐provoking for parents. We assessed the long‐term safety of E‐OIT for CMA in a cohort of children who switched to an unrestricted diet without testing the achievement of tolerance at the end of the OIT protocol. Materials and Methods We performed a descriptive analysis of the clinical follow‐up of a cohort of children diagnosed with IgE‐mediated CMA and undergoing E‐OIT protocol in their first year of life. In a previous publication, the same cohort of patients had been studied to assess the feasibility of E‐OIT for CMA. In the present study, we reported the results of a telephone survey, carried out through a questionnaire to their families enquiring about milk consumption and other ongoing atopic conditions of children. Results After an average of 4 years from the start of E‐OIT, 62/73 patients (85% of the historical cohort) participated in the survey. Among them, all 56 patients who had previously successfully completed the protocol reported an unrestricted cow's milk intake. Ninety–three percent of these children did not experience any further allergic reactions, while the remaining 7% described only mild and transitory reactions until the 6‐month period after the end of the protocol. Conclusions This study confirmed the long‐term safety of E‐OIT for CMA and challenged the paradigm of the need for allergen food withdrawal to discern between desensitization and tolerance. It could be a starting point for planning future trials on this issue.
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- 2021
31. Feasibility of Simplification From a Basal-Bolus Insulin Regimen to a Fixed-Ratio Formulation of Basal Insulin Plus a GLP-1RA or to Basal Insulin Plus an SGLT2 Inhibitor: BEYOND, a Randomized, Pragmatic Trial
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Maria Ida Maiorino, Rosa Di Fraia, Paola Caruso, Miriam Longo, Lorenzo Scappaticcio, Michela Petrizzo, Maurizio Gicchino, Katherine Esposito, Giuseppe Bellastella, Dario Giugliano, Giugliano, D., Longo, M., Caruso, P., Di Fraia, R., Scappaticcio, L., Gicchino, M., Petrizzo, M., Bellastella, G., Maiorino, M. I., and Esposito, K.
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Blood Glucose ,medicine.medical_specialty ,Glycated Hemoglobin A ,Endocrinology, Diabetes and Metabolism ,medicine.medical_treatment ,030209 endocrinology & metabolism ,Type 2 diabetes ,Hypoglycemia ,law.invention ,03 medical and health sciences ,0302 clinical medicine ,Randomized controlled trial ,law ,Glucagon-Like Peptide 1 ,Internal medicine ,Diabetes mellitus ,Internal Medicine ,Medicine ,Humans ,Hypoglycemic Agents ,Insulin ,030212 general & internal medicine ,Sodium-Glucose Transporter 2 Inhibitors ,Glycemic ,Advanced and Specialized Nursing ,Glycated Hemoglobin ,Hypoglycemic Agent ,Emerging Therapies: Drugs and Regimens ,business.industry ,medicine.disease ,Feasibility Studie ,Regimen ,Endocrinology ,Diabetes Mellitus, Type 2 ,Feasibility Studies ,business ,Gliflozin ,Human ,medicine.drug - Abstract
OBJECTIVE BEYOND trial evaluated the feasibility of either basal insulin plus glucagon-like peptide 1 receptor agonist (GLP-1RA) or basal insulin plus sodium–glucose cotransporter 2 inhibitor (SGLT2i) to replace a full basal-bolus insulin (BBI) regimen in participants with type 2 diabetes and inadequate glycemic control. RESEARCH DESIGN AND METHODS Participants were randomized (1:1:1) to: 1) intensification of the BBI regimen (n = 101), 2) fixed ratio of basal insulin plus GLP-1RA (fixed-combo group; n = 102), and 3) combination of basal insulin plus SGLT2i (gliflo-combo group; n = 102). The primary efficacy outcome was change from baseline in HbA1c at 6 months. RESULTS Baseline characteristics were similar among the three groups (mean HbA1c was 8.6% [70 mmol/mol]). At 6 months, patients experienced similar reduction in HbA1c level (−0.6 ± 0.8, −0.6 ± 0.8, and −0.7 ± 0.9%, mean ± SD, respectively; noninferiority P < 0.001 vs. BBI), and the proportion of patients with HbA1c ≤7.5% was also similar (34%, 28%, and 27%, respectively; P = 0.489). Total insulin dose increased in the BBI group (62 units/day) and decreased both in the fixed-combo and gliflo-combo groups (27 units/day and 21 units/day, respectively; P < 0.01). The proportion of patients with hypoglycemia was 17.8%, 7.8%, and 5.9%, respectively (P = 0.015). There were 12 dropouts in the fixed-combo group, 9 in the gliflo-combo group, and none in the BBI group. CONCLUSIONS BEYOND provides evidence that it is possible and safe to switch from a BBI regimen to either a once-daily fixed-combo injection or once-daily gliflozin added to basal insulin, with similar glucose control, fewer insulin doses, fewer injections daily, and less hypoglycemia.
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- 2021
32. Increasing the Astrophysical Reach of the Advanced Virgo Detector via the Application of Squeezed Vacuum States of Light
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Acernese, F, Agathos, M, Aiello, L, Allocca, A, Amato, A, Ansoldi, S, Antier, S, Arene, M, Arnaud, N, Ascenzi, S, Astone, P, Aubin, F, Babak, S, Bacon, P, Badaracco, F, Bader, M. K. M, Baird, J, Baldaccini, F, Ballardin, G, Baltus, G, Barbieri, C, Barneo, P, Barone, F, Barsuglia, M, Barta, D, Basti, A, Bawaj, M, Bazzan, M, Bejger, M, Belahcene, I and Bernuzzi, S, Bersanetti, D, Bertolini, A, Bischi, M, Bitossi, M, Bizouard, M. A, Bobba, F, Boer, M, Bogaert, G, Bondu, F, Bonnand, R, Boom, B. A, Boschi, V and Bouffanais, Y, Bozzi, A, Bradaschia, C, Branchesi, M, Breschi, M, Briant, T, Brighenti, F, Brillet, A, Brooks, J, Bruno, G, Bulik, T, Bulten, H. J, Buskulic, D, Cagnoli, G, Calloni, E, Canepa, M, Carapella, G, Carbognani, F, Carullo, G, Diaz, Casanueva and Casentini, J., C, Castaneda, J, Caudill, S, Cavalier, F, Cavalieri, R, Cella, G, Cerda-Duran, P, Cesarini, E, Chaibi, O, Chassande-Mottin, E, Chiadini, F, Chierici, R, Chincarini, A, Chiummo, A, Christensen, N, Chua, S, Ciani, G, Ciecielag, P, Cieslar, M, Ciolfi, R, Cipriano, F, Cirone, A, Clesse, S, Cleva, F, Coccia, E, Cohadon, P-F and Cohen, D, Colpi, M, Conti, L, Cordero-Carrion, I and Corezzi, Corre, D, Cortese, S, Coulon, J-P and Croquette, M, Cudell, J-R and Cuoco, E, Curylo, M, D'Angelo, B, D'Antonio, S, Dattilo, V and Davier, Degallaix, J, De Laurentis, M, Deleglise, S, Del Pozzo, W, De Pietri, R, De Rosa, R, De Rossi, C, Dietrich, T, Di Fiore, L, Di Giorgio, C, Di Giovanni, F, Di Giovanni, M, Di Girolamo, T, Di Lieto, A, Di Pace, S, Palma, Di, I and Di Renzo, F, Drago, M, Ducoin, J-G and Durante, O, D'Urso, D, Eisenmann, M, Errico, L, Estevez, D, Fafone, V and Farinon, Feng, F, Fenyvesi, E, Ferrante, I and Fidecaro, Fiori, I and Fiorucci, Fittipaldi, R, Fiumara, V and Flaminio, R, Font, J. A, Fournier, J-D and Frasca, Frasconi, F, Frey, V and Fronze, G, Garufi, F, Gemme, G, Genin, E, Gennai, A, Ghosh, Archisman and Giacomazzo, B, Gosselin, M, Gouaty, R, Grado, A, Granata, M, Greco, G, Grignani, G, Grimaldi, A, Grimm, S. J, Gruning, P, Guidi, G. M, Guixe, G, Guo, Y, Gupta, P, Halim, O, Harder, T, Harms, J, Heidmann, A, Heitmann, H, Hello, P, Hemming, G, Hennes, E, Hinderer, T, Hofman, D, Huet, D, Hui, V and Idzkowski, Iess, A, Intini, G, Isac, J-M and Jacqmin, T, Jaranowski, P, Jonker, R. J. G, Katsanevas, S, Kefelian, F, Khan, I and Khetan, N, Koekoek, G, Koley, S, Krolak, A, Kutynia, A, Laghi, D, Lamberts, A, Rosa, La, I and Lartaux-Vollard, A, Lazzaro, C, Leaci, P, Leroy, N, Letendre, N, Linde, F, Llorens-Monteagudo, M, Longo, A, Lorenzini, M, Loriette, V and Losurdo, Lumaca, D, Macquet, A, Majorana, E, Maksimovic, I and Man, Mangano, V and Mantovani, Mapelli, M, Marchesoni, F, Marion, F, Marquina, A, Marsat, S, Martelli, F, Martinez, V and Masserot, Mastrogiovanni, S, Villa, Mejuto and Mereni, E., L, Merzougui, M, Metzdorff, R, Miani, A, Michel, C, Milano, L, Miller, A, Milotti, E, Minazzoli, O, Minenkov, Y, Montani, M, Morawski, F, Mours, B, Muciaccia, F, Nagar, A, Nardecchia, I and Naticchioni, Neilson, J, Nelemans, G, Nguyen, C, Nichols, D, Nissanke, S, Nocera, F, Oganesyan, G, Olivetto, C, Pagano, G, Pagliaroli, G, Palomba, C, Pang, P. T. H, Pannarale, F, Paoletti, F, Paoli, A, Pascucci, D, Pasqualetti, A, Passaquieti, R, Passuello, D, Patricelli, B, Perego, A, Pegoraro, M, Perigois, C, Perreca, A, Perries, S, Phukon, K. S, Piccinni, O. J, Pichot, M, Piendibene, M, Piergiovanni, F, Pierro, V and Pillant, Pinard, L, Pinto, I. M, Piotrzkowski, K, Plastino, W, Poggiani, R, Popolizio, P, Porter, E. K, Prevedelli, M, Principe, M, Prodi, G. A, Punturo, M, Puppo, P, Raaijmakers, G, Radulesco, N, Rapagnani, P, Razzano, M, Regimbau, T, Rei, L, Rettegno, P, Ricci, F, Riemenschneider, G, Robinet, F, Rocchi, A, Rolland, L, Romanelli, M, Romano, R, Rosiska, D, Ruggi, P, Salafia, O. S, Salconi, L, Samajdar, A, Sanchis-Gual, N, Santos, E, Sassolas, B, Sauter, O, Sayah, S, Sentenac, D, Sequino, V and Sharma, Sieniawska, M, Singh, N, Singhal, A, Sipala, V and Sordini, V and Sorrentino, Spera, M, Stachie, C, Steer, D. A, Stratta, G, Sur, A, Swinkels, B. L, Tacca, M, Tanasijczuk, A. J, San, Martin, Tapia and Tiwari, E. N., Tonelli, M, Torres-Forne, A, Melo, I. Tosta E, Travasso, F, Tringali, M. C, Trovato, A, Tsang, K. W, Turconi, M, Valentini, M, van Bakel, N, van Beuzekom, M, van den Brand, J. F. J, Van Den Broeck, C, van der Schaaf, L, Vardaro, M, Vasuth, M, Vedovato, G, Verkindt, D, Vetrano, F, Vicere, A, Vinet, J-Y and Vocca, H, Walet, R, Was, M, Zadrozny, A, Zelenova, T, Zendri, J-P and Vahlbruch, Henning and Mehmet, Moritz and Lueck, Harald and Danzmann, Karsten and Virgo Collaboration, UCL - SST/IRMP - Institut de recherche en mathématique et physique, Acernese, F, Agathos, M, Aiello, L, Allocca, A, Amato, A, Ansoldi, S, Antier, S, Arene, M, Arnaud, N, Ascenzi, S, Astone, P, Aubin, F, Babak, S, Bacon, P, Badaracco, F, Bader, M, Baird, J, Baldaccini, F, Ballardin, G, Baltus, G, Barbieri, C, Barneo, P, Barone, F, Barsuglia, M, Barta, D, Basti, A, Bawaj, M, Bazzan, M, Bejger, M, Belahcene, I, Bernuzzi, S, Bersanetti, D, Bertolini, A, Bischi, M, Bitossi, M, Bizouard, M, Bobba, F, Boer, M, Bogaert, G, Bondu, F, Bonnand, R, Boom, B, Boschi, V, Bouffanais, Y, Bozzi, A, Bradaschia, C, Branchesi, M, Breschi, M, Briant, T, Brighenti, F, Brillet, A, Brooks, J, Bruno, G, Bulik, T, Bulten, H, Buskulic, D, Cagnoli, G, Calloni, E, Canepa, M, Carapella, G, Carbognani, F, Carullo, G, Casanueva Diaz, J, Casentini, C, Castaneda, J, Caudill, S, Cavalier, F, Cavalieri, R, Cella, G, Cerda-Duran, P, Cesarini, E, Chaibi, O, Chassande-Mottin, E, Chiadini, F, Chierici, R, Chincarini, A, Chiummo, A, Christensen, N, Chua, S, Ciani, G, Ciecielag, P, Cieslar, M, Ciolfi, R, Cipriano, F, Cirone, A, Clesse, S, Cleva, F, Coccia, E, Cohadon, P, Cohen, D, Colpi, M, Conti, L, Cordero-Carrion, I, Corezzi, S, Corre, D, Cortese, S, Coulon, J, Croquette, M, Cudell, J, Cuoco, E, Curylo, M, D'Angelo, B, D'Antonio, S, Dattilo, V, Davier, M, Degallaix, J, De Laurentis, M, Deleglise, S, Del Pozzo, W, De Pietri, R, De Rosa, R, De Rossi, C, Dietrich, T, Di Fiore, L, Di Giorgio, C, Di Giovanni, F, Di Giovanni, M, Di Girolamo, T, Di Lieto, A, Di Pace, S, Di Palma, I, Di Renzo, F, Drago, M, Ducoin, J, Durante, O, D'Urso, D, Eisenmann, M, Errico, L, Estevez, D, Fafone, V, Farinon, S, Feng, F, Fenyvesi, E, Ferrante, I, Fidecaro, F, Fiori, I, Fiorucci, D, Fittipaldi, R, Fiumara, V, Flaminio, R, Font, J, Fournier, J, Frasca, S, Frasconi, F, Frey, V, Fronze, G, Garufi, F, Gemme, G, Genin, E, Gennai, A, Ghosh, A, Giacomazzo, B, Gosselin, M, Gouaty, R, Grado, A, Granata, M, Greco, G, Grignani, G, Grimaldi, A, Grimm, S, Gruning, P, Guidi, G, Guixe, G, Guo, Y, Gupta, P, Halim, O, Harder, T, Harms, J, Heidmann, A, Heitmann, H, Hello, P, Hemming, G, Hennes, E, Hinderer, T, Hofman, D, Huet, D, Hui, V, Idzkowski, B, Iess, A, Intini, G, Isac, J, Jacqmin, T, Jaranowski, P, Jonker, R, Katsanevas, S, Kefelian, F, Khan, I, Khetan, N, Koekoek, G, Koley, S, Krolak, A, Kutynia, A, Laghi, D, Lamberts, A, La Rosa, I, Lartaux-Vollard, A, Lazzaro, C, Leaci, P, Leroy, N, Letendre, N, Linde, F, Llorens-Monteagudo, M, Longo, A, Lorenzini, M, Loriette, V, Losurdo, G, Lumaca, D, Macquet, A, Majorana, E, Maksimovic, I, Man, N, Mangano, V, Mantovani, M, Mapelli, M, Marchesoni, F, Marion, F, Marquina, A, Marsat, S, Martelli, F, Martinez, V, Masserot, A, Mastrogiovanni, S, Mejuto Villa, E, Mereni, L, Merzougui, M, Metzdorff, R, Miani, A, Michel, C, Milano, L, Miller, A, Milotti, E, Minazzoli, O, Minenkov, Y, Montani, M, Morawski, F, Mours, B, Muciaccia, F, Nagar, A, Nardecchia, I, Naticchioni, L, Neilson, J, Nelemans, G, Nguyen, C, Nichols, D, Nissanke, S, Nocera, F, Oganesyan, G, Olivetto, C, Pagano, G, Pagliaroli, G, Palomba, C, Pang, P, Pannarale, F, Paoletti, F, Paoli, A, Pascucci, D, Pasqualetti, A, Passaquieti, R, Passuello, D, Patricelli, B, Perego, A, Pegoraro, M, Perigois, C, Perreca, A, Perries, S, Phukon, K, Piccinni, O, Pichot, M, Piendibene, M, Piergiovanni, F, Pierro, V, Pillant, G, Pinard, L, Pinto, I, Piotrzkowski, K, Plastino, W, Poggiani, R, Popolizio, P, Porter, E, Prevedelli, M, Principe, M, Prodi, G, Punturo, M, Puppo, P, Raaijmakers, G, Radulesco, N, Rapagnani, P, Razzano, M, Regimbau, T, Rei, L, Rettegno, P, Ricci, F, Riemenschneider, G, Robinet, F, Rocchi, A, Rolland, L, Romanelli, M, Romano, R, Rosinska, D, Ruggi, P, Salafia, O, Salconi, L, Samajdar, A, Sanchis-Gual, N, Santos, E, Sassolas, B, Sauter, O, Sayah, S, Sentenac, D, Sequino, V, Sharma, A, Sieniawska, M, Singh, N, Singhal, A, Sipala, V, Sordini, V, Sorrentino, F, Spera, M, Stachie, C, Steer, D, Stratta, G, Sur, A, Swinkels, B, Tacca, M, Tanasijczuk, A, Tapia San Martin, E, Tiwari, S, Tonelli, M, Torres-Forne, A, Tosta E Melo, I, Travasso, F, Tringali, M, Trovato, A, Tsang, K, Turconi, M, Valentini, M, Van Bakel, N, Van Beuzekom, M, Van Den Brand, J, Van Den Broeck, C, Van Der Schaaf, L, Vardaro, M, Vasuth, M, Vedovato, G, Verkindt, D, Vetrano, F, Vicere, A, Vinet, J, Vocca, H, Walet, R, Was, M, Zadrozny, A, Zelenova, T, Zendri, J, Vahlbruch, H, Mehmet, M, Luck, H, Danzmann, K, Institut Lumière Matière [Villeurbanne] (ILM), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), AstroParticule et Cosmologie (APC (UMR_7164)), Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de l'Accélérateur Linéaire (LAL), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Annecy de Physique des Particules (LAPP/Laboratoire d'Annecy-le-Vieux de Physique des Particules), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Astrophysique Relativiste Théories Expériences Métrologie Instrumentation Signaux (ARTEMIS), Université Nice Sophia Antipolis (... - 2019) (UNS), Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Institut des Fonctions Optiques pour les Technologies de l'informatiON (Institut FOTON), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-École Nationale Supérieure des Sciences Appliquées et de Technologie (ENSSAT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Laboratoire Kastler Brossel (LKB [Collège de France]), Fédération de recherche du Département de physique de l'Ecole Normale Supérieure - ENS Paris (FRDPENS), Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris)-Collège de France (CdF)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des matériaux avancés (LMA), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Joseph Louis LAGRANGE (LAGRANGE), Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Observatoire de la Côte d'Azur, ESPCI ParisTech, Institut Pluridisciplinaire Hubert Curien (IPHC), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Institut des Hautes Etudes Scientifiques (IHES), IHES, Virgo, Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7), Acernese, F., Agathos, M., Aiello, L., Allocca, A., Amato, A., Ansoldi, S., Antier, S., Arène, M., Arnaud, N., Ascenzi, S., Astone, P., Aubin, F., Babak, S., Bacon, P., Badaracco, F., Bader, M. K. M., Baird, J., Baldaccini, F., Ballardin, G., Baltus, G., Barbieri, C., Barneo, P., Barone, F., Barsuglia, M., Barta, D., Basti, A., Bawaj, M., Bazzan, M., Bejger, M., Belahcene, I., Bernuzzi, S., Bersanetti, D., Bertolini, A., Bischi, M., Bitossi, M., Bizouard, M. A., Bobba, F., Boer, M., Bogaert, G., Bondu, F., Bonnand, R., Boom, B. A., Boschi, V., Bouffanais, Y., Bozzi, A., Bradaschia, C., Branchesi, M., Breschi, M., Briant, T., Brighenti, F., Brillet, A., Brooks, J., Bruno, G., Bulik, T., Bulten, H. J., Buskulic, D., Cagnoli, G., Calloni, E., Canepa, M., Carapella, G., Carbognani, F., Carullo, G., Casanueva Diaz, J., Casentini, C., Castañeda, J., Caudill, S., Cavalier, F., Cavalieri, R., Cella, G., Cerdá-Durán, P., Cesarini, E., Chaibi, O., Chassande-Mottin, E., Chiadini, F., Chierici, R., Chincarini, A., Chiummo, A., Christensen, N., Chua, S., Ciani, G., Ciecielag, P., Cieślar, M., Ciolfi, R., Cipriano, F., Cirone, A., Clesse, S., Cleva, F., Coccia, E., Cohadon, P. -F., Cohen, D., Colpi, M., Conti, L., Cordero-Carrión, I., Corezzi, S., Corre, D., Cortese, S., Coulon, J. -P., Croquette, M., Cudell, J. -R., Cuoco, E., Curylo, M., D’Angelo, B., D’Antonio, S., Dattilo, V., Davier, M., Degallaix, J., De Laurentis, M., Deléglise, S., Del Pozzo, W., De Pietri, R., De Rosa, R., De Rossi, C., Dietrich, T., Di Fiore, L., Di Giorgio, C., Di Giovanni, F., Di Giovanni, M., Di Girolamo, T., Di Lieto, A., Di Pace, S., Di Palma, I., Di Renzo, F., Drago, M., Ducoin, J. -G., Durante, O., D’Urso, D., Eisenmann, M., Errico, L., Estevez, D., Fafone, V., Farinon, S., Feng, F., Fenyvesi, E., Ferrante, I., Fidecaro, F., Fiori, I., Fiorucci, D., Fittipaldi, R., Fiumara, V., Flaminio, R., Font, J. A., Fournier, J. -D., Frasca, S., Frasconi, F., Frey, V., Fronzè, G., Garufi, F., Gemme, G., Genin, E., Gennai, A., Ghosh, Archisman, Giacomazzo, B., Gosselin, M., Gouaty, R., Grado, A., Granata, M., Greco, G., Grignani, G., Grimaldi, A., Grimm, S. J., Gruning, P., Guidi, G. M., Guixé, G., Guo, Y., Gupta, P., Halim, O., Harder, T., Harms, J., Heidmann, A., Heitmann, H., Hello, P., Hemming, G., Hennes, E., Hinderer, T., Hofman, D., Huet, D., Hui, V., Idzkowski, B., Iess, A., Intini, G., Isac, J. -M., Jacqmin, T., Jaranowski, P., Jonker, R. J. G., Katsanevas, S., Kéfélian, F., Khan, I., Khetan, N., Koekoek, G., Koley, S., Królak, A., Kutynia, A., Laghi, D., Lamberts, A., La Rosa, I., Lartaux-Vollard, A., Lazzaro, C., Leaci, P., Leroy, N., Letendre, N., Linde, F., Llorens-Monteagudo, M., Longo, A., Lorenzini, M., Loriette, V., Losurdo, G., Lumaca, D., Macquet, A., Majorana, E., Maksimovic, I., Man, N., Mangano, V., Mantovani, M., Mapelli, M., Marchesoni, F., Marion, F., Marquina, A., Marsat, S., Martelli, F., Martinez, V., Masserot, A., Mastrogiovanni, S., Mejuto Villa, E., Mereni, L., Merzougui, M., Metzdorff, R., Miani, A., Michel, C., Milano, L., Miller, A., Milotti, E., Minazzoli, O., Minenkov, Y., Montani, M., Morawski, F., Mours, B., Muciaccia, F., Nagar, A., Nardecchia, I., Naticchioni, L., Neilson, J., Nelemans, G., Nguyen, C., Nichols, D., Nissanke, S., Nocera, F., Oganesyan, G., Olivetto, C., Pagano, G., Pagliaroli, G., Palomba, C., Pang, P. T. H., Pannarale, F., Paoletti, F., Paoli, A., Pascucci, D., Pasqualetti, A., Passaquieti, R., Passuello, D., Patricelli, B., Perego, A., Pegoraro, M., Périgois, C., Perreca, A., Perriès, S., Phukon, K. S., Piccinni, O. J., Pichot, M., Piendibene, M., Piergiovanni, F., Pierro, V., Pillant, G., Pinard, L., Pinto, I. M., Piotrzkowski, K., Plastino, W., Poggiani, R., Popolizio, P., Porter, E. K., Prevedelli, M., Principe, M., Prodi, G. A., Punturo, M., Puppo, P., Raaijmakers, G., Radulesco, N., Rapagnani, P., Razzano, M., Regimbau, T., Rei, L., Rettegno, P., Ricci, F., Riemenschneider, G., Robinet, F., Rocchi, A., Rolland, L., Romanelli, M., Romano, R., Rosińska, D., Ruggi, P., Salafia, O. S., Salconi, L., Samajdar, A., Sanchis-Gual, N., Santos, E., Sassolas, B., Sauter, O., Sayah, S., Sentenac, D., Sequino, V., Sharma, A., Sieniawska, M., Singh, N., Singhal, A., Sipala, V., Sordini, V., Sorrentino, F., Spera, M., Stachie, C., Steer, D. A., Stratta, G., Sur, A., Swinkels, B. L., Tacca, M., Tanasijczuk, A. J., Tapia San Martin, E. N., Tiwari, S., Tonelli, M., Torres-Forné, A., Tosta e Melo, I., Travasso, F., Tringali, M. C., Trovato, A., Tsang, K. W., Turconi, M., Valentini, M., van Bakel, N., van Beuzekom, M., van den Brand, J. F. J., Van Den Broeck, C., van der Schaaf, L., Vardaro, M., Vasúth, M., Vedovato, G., Verkindt, D., Vetrano, F., Viceré, A., Vinet, J. -Y., Vocca, H., Walet, R., Was, M., Zadrożny, A., Zelenova, T., Zendri, J. -P., Vahlbruch, Henning, Mehmet, Moritz, Lück, Harald, Danzmann, Karsten, IoP (FNWI), Astroparticle Physics (IHEF, IoP, FNWI), Other Research IHEF (IoP, FNWI), Spectroscopies optiques des matériaux verres, amorphes et à nanoparticules (SOPRANO), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Laboratoire d'Annecy de Physique des Particules (LAPP), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-École Nationale Supérieure des Sciences Appliquées et de Technologie (ENSSAT)-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Collège de France (CdF (institution))-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Ecole Superieure de Physique et de Chimie Industrielles de la Ville de Paris (ESPCI Paris), Université Paris sciences et lettres (PSL), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut des Hautes Études Scientifiques (IHES), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11), Centre National de la Recherche Scientifique (CNRS)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-École Nationale Supérieure des Sciences Appliquées et de Technologie (ENSSAT)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Fédération de recherche du Département de physique de l'Ecole Normale Supérieure - ENS Paris (FRDPENS), Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Collège de France (CdF (institution)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Claude Bernard Lyon 1 (UCBL), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Claude Bernard Lyon 1 (UCBL), Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Arene, M., Castaneda, J., Cerda-Duran, P., Cieslar, M., Cordero-Carrion, I., D'Angelo, B., D'Antonio, S., Deleglise, S., D'Urso, D., Fronze, G., Ghosh, A., Guixe, G., Kefelian, F., Krolak, A., Perigois, C., Perries, S., Rosinska, D., Torres-Forne, A., Tosta E Melo, I., Van Bakel, N., Van Beuzekom, M., Van Den Brand, J. F. J., Van Der Schaaf, L., Vasuth, M., Vicere, A., Zadrozny, A., Vahlbruch, H., Mehmet, M., Luck, H., Danzmann, K., (Astro)-Particles Physics, Virgo Collaboration, Cohadon, P.-F., Coulon, J.-P., Cudell, J.-R., Ducoin, J.-G., Fournier, J.-D., Isac, J.-M., Vinet, J.-Y., and Zendri, J.-P.
- Subjects
neutron star: binary ,Gravitational waves detection ,General Physics and Astronomy ,01 natural sciences ,vacuum state ,NOISE ,interferometric detector ,LIGO ,noise: quantum ,gravitational waves ,squeezing ,vacuum ,Settore FIS/01 ,Physics ,Quantum optics ,Quantum limit ,Quantum noise ,Detector ,Physical Sciences ,gravitational waves, squeezed light ,interferometric detectors ,Gravitational wave ,Squeezed coherent state ,Physics, Multidisciplinary ,squeezed state ,Gravitation and Astrophysics ,horizon ,Gravitational waves ,General Relativity and Quantum Cosmology ,Optics ,Settore FIS/05 - Astronomia e Astrofisica ,0103 physical sciences ,[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det] ,SDG 7 - Affordable and Clean Energy ,010306 general physics ,enhancement ,Astrophysique ,Science & Technology ,business.industry ,Shot noise ,gravitational radiation ,gravitational waves, thermal noise ,sensitivity ,detector: sensitivity ,Quantum technology ,Automatic Keywords ,VIRGO ,injection ,Physics and Astronomy ,gravitational radiation detector: interferometer ,noise ,WAVE ,business ,[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] ,gravitational waves, nonlinear optics, quantum optics - Abstract
Current interferometric gravitational-wave detectors are limited by quantum noise over a wide range of their measurement bandwidth. One method to overcome the quantum limit is the injection of squeezed vacuum states of light into the interferometer's dark port. Here, we report on the successful application of this quantum technology to improve the shot noise limited sensitivity of the Advanced Virgo gravitational-wave detector. A sensitivity enhancement of up to 3.2±0.1 dB beyond the shot noise limit is achieved. This nonclassical improvement corresponds to a 5%-8% increase of the binary neutron star horizon. The squeezing injection was fully automated and over the first 5 months of the third joint LIGO-Virgo observation run O3 squeezing was applied for more than 99% of the science time. During this period several gravitational-wave candidates have been recorded., 0, info:eu-repo/semantics/published
- Published
- 2019
33. Modern Treatment of Brain Arteriovenous Malformations Using Preoperative Planning Based on Navigated Transcranial Magnetic Stimulation: A Revisitation of the Concept of Eloquence
- Author
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Antonino Scibilia, Giovanni Raffa, Stefano Pergolizzi, Alfredo Conti, Marcello Longo, Filippo Flavio Angileri, Sergio Vinci, Antonino Germanò, Maria C. Quattropani, Salvatore Cardali, Patrizia Fiore, Giuseppina Marzano, Felice Esposito, Germanò, Antonino, Raffa, Giovanni, Conti, Alfredo, Fiore, Patrizia, Cardali, Salvatore Massimiliano, Esposito, Felice, Scibilia, Antonino, Quattropani, Marina, Vinci, Sergio Lucio, Marzano, Giusi, Pergolizzi, Stefano, Longo, Marcello, Angileri, Filippo Flavio, Germano, A., Raffa, G., Conti, A., Fiore, P., Cardali, S. M., Esposito, F., Scibilia, A., Quattropani, M. C., Vinci, S. L., Marzano, G., Pergolizzi, S., Longo, M., and Angileri, F. F.
- Subjects
Adult ,Intracranial Arteriovenous Malformations ,Male ,medicine.medical_specialty ,medicine.medical_treatment ,Arteriovenous Malformations, Diffusion Tensor Imaging, Eloquent Areas, Language Areas, Motor Area, Navigated Transcranial Magnetic Stimulation ,behavioral disciplines and activities ,Functional Laterality ,Patient Care Planning ,Navigated Transcranial Magnetic Stimulation ,Arteriovenous Malformations ,Eloquent cortex ,Preoperative Care ,Language Area ,Humans ,Medicine ,Effective treatment ,Visual Pathways ,Aged ,Brain Mapping ,Motor area ,Preoperative planning ,Motor Area ,business.industry ,Motor Cortex ,Arteriovenous Malformation ,Middle Aged ,Eloquent Areas ,Transcranial Magnetic Stimulation ,Transcranial magnetic stimulation ,Eloquent Area ,Treatment Outcome ,Diffusion Tensor Imaging ,Eloquent Brain ,nervous system ,Female ,Surgery ,Neurology (clinical) ,Radiology ,Anatomic Landmarks ,business ,Patient stratification ,Language Areas ,Diffusion MRI - Abstract
Background Navigated transcranial magnetic stimulation (nTMS) provides a reliable identification of “eloquent” cortical brain areas. Moreover, it can be used for diffusion tensor imaging fiber tracking of eloquent subcortical tracts. We describe the use of nTMS-based cortical mapping and diffusion tensor imaging fiber tracking for defining the “eloquence” of areas surrounding brain arteriovenous malformations (BAVMs), aiming to improve patient stratification and treatment. Methods We collected data of BAVMs suspected to be in eloquent areas treated between 2017 and 2019, and submitted to nTMS-based reconstruction of motor, language, and visual pathways for the definition of the eloquence of the surrounding brain areas. We describe the nTMS-based approach and analyze its impact on patient stratification and allocation to treatment in comparison with the standard assessment of eloquence based on anatomical landmarks. Results Ten patients were included in the study. Preliminarily, 9 BAVMs were suspected to be located in an eloquent area. After nTMS-based mapping, only 5 BAVMs were confirmed to be close to eloquent structures, thus leading to a change of the score for eloquence and of the final BAVMs grading in 60% of patients. Treatment was customized according to nTMS information, and no cases of neurological worsening were observed. Radiological obliteration was complete in 7 cases microsurgically treated, and accounted for about 70% in the remaining 3 patients 1 year after radiosurgical treatment. Conclusions The nTMS-based information allows an accurate stratification and allocation of patients with BAVMs to the most effective treatment according to a modern, customized, neurophysiological identification of the adjacent eloquent brain networks.
- Published
- 2019
34. The ATLAS fast TracKer system
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Aad, Georges, Abbott, Braden Keim, Abreu, Henso, Arcangeletti, Chiara, Gutierrez Zagazeta, Luis Felipe, Gutschow, Christian, Guyot, Claude, Gwenlan, Claire, Gwilliam, Carl, Haaland, Even Simonsen, Haas, Andy, Haas, Andrew, Haber, Carl, Hadavand, Haleh, Arce, Ayana Tamu, Hadef, Asma, Haleem, Mahsana, Haley, Joseph, Hall, Jack Joseph, Halladjian, Garabed, Hallewell, Gregory, Hamano, Kenji, Hamdaoui, Hassane, Hamer, Matthias, Hamity, Guillermo Nicolas, Arguin, Jean-francois, Han, Kunlin, Han, Liangliang, Han, Liang, Han, Shuo, Han, Yi Fei, Hanagaki, Kazunori, Hance, Mike, Hank, Michael Donald, Hankache, Robert, Hansen, Eva Brottmann, Argyropoulos, Spyros, Hansen, Jorgen Beck, Hansen, Dines, Hansen, Maike Christina, Hansen, Peter, Hanson, Emily Claire, Hara, Kazuhiko, Harenberg, Torsten, Harkusha, Siarhei, Harrison, Paul Fraser, Hartman, Nicole Michelle, Arling, Jan-hendrik, Hartmann, Nikolai, Hasegawa, Yoji, Hasib, Ahmed, Hasley, Lloyd Alan, Hassani, Samira, Haug, Sigve, Hauser, Reiner, Havranek, Miroslav, Hawkes, Chris, Hawkings, Richard, Armbruster, Aaron James, Hayashida, Shota, Hayden, Daniel, Hayes, Christopher Robyn, Hayes, Robin, Hays, Chris, Hays, Jonathan, Hayward, Helen, Haywood, Stephen, He, Fudong, He, Yunjian, Armstrong, Alexander, Heath, Matthew Peter, Hedberg, Vincent, Heggelund, Andreas Lokken, Hehir, Natasha, Heidegger, Constantin, Heidegger, Kim Katrin, Heidorn, William Dale, Heilman, Jesse Alan, Heim, Sarah, Heim, Timon, Arnaez, Olivier, Heinemann, Beate, Heinlein, James Geddy, Heinrich, Jochen Jens, Heinrich, Lukas Alexander, Hejbal, Jiri, Helary, Louis, Held, Alexander, Hellesund, Simen, Helling, Cole Michael, Hellman, Sten, Arnold, Hannah, Helsens, Clement, Henderson, Robert, Henkelmann, Lars, Henriques Correia, Ana Maria, Herde, Hannah Elizabeth, Hernandez Jimenez, Yesenia, Herr, Holger Arnold, Herrmann, Maximilian Georg, Herrmann, Tim, Herten, Gregor, Arrubarrena Tame, Zulit Paola, Hertenberger, Ralf, Hervas, Luis, Hessey, Nigel, Hibi, Hiroaki, Higashino, Satoshi, Higon-rodriguez, Emilio, Hildebrand, Kevin, Hill, John, Hill, Kurt Keys, Hiller, Karl Heinz, Abulaiti, Yiming, Artoni, Giacomo, Hu, Yi Fan, Hiller, Karlheinz, Hillier, Stephen, Hils, Maximilian, Hinchliffe, Ian, Hinterkeuser, Florian, Hirose, Minoru, Hirose, Shigeki, Hirschbuehl, Dominic, Hiti, Bojan, Asada, Haruka, Hladik, Ondrej, Hobbs, John David, Hobincu, Radu, Tal Hod, Noam, Hodgkinson, Mark, Hoecker, Andreas, Hohn, David, Hohov, Dmytro, Holm, Tanja, Holmes, Tova, Asai, Kanae, Holzbock, Michael, Hommels, Bart, Hong, Tae Min, Honig, Jan Cedric, Honle, Andreas, Hooberman, Benjamin Henry, Hopkins, Walter, Horii, Yasuyuki, Horn, Philipp, Horyn, Lesya Anna, Asai, Shoji, Hou, Suen, Howarth, James William, Hoya, Joaquin, Hrabovsky, Miroslav, Hrynevich, Aliaksei, Hrynova, Tetiana, Hsu, Pai-hsien, Hsu, Shih-chieh, Hu, Qipeng, Hu, Shuyang, Asawatavonvanich, Thanawat, Iakovidis, Georgios, Hu, Yifan, Huang, Danping, Huang, Xiaozhong, Huang, Yicong, Huang, Yanping, Hubacek, Zdenek, Hubaut, Fabrice, Hubner, Michael, Huegging, Fabian, Asbah, Nedaa Alexandra, Huffman, Todd Brian, Huhtinen, Mika, Hulsken, Raphael, Hunter, Robert Francis, Husejko, Michal, Huseynov, Nazim, Huston, Joey, Huth, John, Hyneman, Rachel Jordan, Hyrych, Sofiia, Asimakopoulou, Eleni Myrto, Iacobucci, Giuseppe, Iakovidis, George, Ibragimov, Iskander, Iconomidou-fayard, Lydia, Iengo, Paolo, Ignazzi, Rosanna, Iguchi, Ryunosuke, Iizawa, Tomoya, Ikegami, Yoichi, Ilic, Nikolina, Asquith, Lily, Imam, Hajar, Introzzi, Gianluca, Iodice, Mauro, Iordanidou, Kalliopi, Ippolito, Valerio, Isacson, Max Fredrik, Ishino, Masaya, Islam, Wasikul, Issever, Cigdem, Istin, Serhat, Assahsah, Jihad, Ito, Hiroki, Iturbe, Julia, Iuppa, Roberto, Ivina, Anna, Izen, Joseph Michael, Izzo, Vincenzo, Jacka, Petr, Jackson, Paul, Jacobs, Ruth Magdalena, Jaeger, Benjamin Paul, Assamagan, Ketevi Adikle, Jakel, Gunnar, Jakobi, Katharina Bianca, Jakobs, Karl, Jakoubek, Tomas, Jamieson, Jonathan, Janas, Krzysztof, Jansky, Roland, Janus, Piotr Andrzej, Jarlskog, Goran, Jaspan, Adam Elliott, Acharya, Bobby Samir, Astalos, Robert, Javadov, Namig, Javurek, Tomas, Javurkova, Martina, Jeanneau, Fabien, Jeanty, Laura, Jejelava, Juansher, Jenni, Peter, Jezequel, Stephane, Jia, Jiangyong, Jia, Zihang, Atkin, Ryan Justin, Jiang, Yi, Jiggins, Stephen, Jimenez Morales, Fabricio Andres, Jimenez Pena, Javier, Jin, Shan, Jinaru, Adam, Jinnouchi, Osamu, Jivan, Harshna, Johansson, Per Daniel Conny, Johns, Kenneth, Atkinson, Markus Julian, Johnson, Christian, Jones, Eleanor, Jones, Roger, Jones, Samuel David, Jones, Tim, Joos, Markus, Jovicevic, Jelena, Ju, Xiangyang, Junggeburth, Johannes Josef, Juste Rozas, Aurelio, Atlay, Naim Bora, Kaczmarska, Anna, Kado, Marumi, Kagan, Harris, Kagan, Michael Aaron, Kahn, Alan Mathew, Kahra, Christian, Kaji, Toshiaki, Kajomovitz Must, Enrique, Kalderon, Charles William, Kartvelishvili, Vakhtang, Atmani, Hicham, Kalderon, Will, Kaluza, Adam, Kamenshchikov, Andrey, Kaneda, Michiru, Kang, Nathan Jihoon, Kang, Shuaiyan, Kano, Yuya, Kanzaki, Junichi, Kar, Deepak, Karava, Kla, Atmasiddha, Prachi, Kareem, Mohammad, Karkanias, Ioannis, Karpov, Sergey, Karpova, Zoya, Kaya, Fikriye Idil, Kartvelishvili, Vato, Karyukhin, Andrei, Kasimi, Eirini, Kastanas, Alex, Kasten, Michael Scott, Augsten, Kamil, Kato, Chikuma, Katzy, Judith, Kawade, Kentaro, Kawagoe, Kiyotomo, Kawaguchi, Tomomi, Kawaguchi, Yoshimasa, Kawamoto, Tatsuo, Kawamura, Gen, Kay, Ellis, Kaya, Colette, Austrup, Volker Andreas, Kazakos, Stergios, Kazanin, Vassili, Keaveney, James Michael, Keeler, Richard, Keller, John Stakely, Kelsey, Daniel Christopher, Kempster, Jacob Julian, Kendrick, James Andrew, Kennedy, Kiley Elizabeth, Kepka, Oldrich, Avolio, Giuseppe, Kersten, Susanne, Kersevan, Borut Paul, Ketabchi, Sana, Khalil-zada, Farhad, Khandoga, Mykola, Khanov, Alexander, Kharlamov, Alexey, Kharlamova, Tatyana, Khoda, Elham E, Khoo, Teng Jian, Ayoub, Mohamad Kassem, Khoriauli, Gia, Khramov, Evgeny, Khubua, Djemal, Kido, Shogo, Kiehn, Moritz, Kilgallon, Aaron Joseph, Kim, Eunchong, Kim, Young-kee, Kimura, Naoki, Kirchhoff, Andreas, Achkar, Baida, Azuelos, Georges, Kirchmeier, David, Kirk, Julie, Kiryunin, Andrei, Kishimoto, Tomoe, Kisliuk, Dylan Perry, Kitali, Vincent, Kitsaki, Chara, Kivernyk, Oleh, Klapdor-kleingrothaus, Thorwald, Klassen, Martin, Babal, Dominik, Klein, Christoph Thomas, Klein, Lucas, Klein, Matthew Henry, Klein, Max, Klein, Uta, Klimek, Pawel Jan, Klimentov, Alexei, Klimpel, Fabian, Klingl, Tobias, Klioutchnikova, Tatiana, Bachacou, Henri, Klitzner, Felix Fidelio, Kluit, Peter, Kluth, Stefan, Kneringer, Emmerich, Knoops, Edith, Knue, Andrea Helen, Kobayashi, Dai, Kobel, Michael, Kocian, Martin, Kodama, Takafumi, Bachas, Dinos, Kodys, Peter, Kock, Daniela, Konig, Philipp, Koffas, Thomas, Koehler, Nicolas, Kolb, Mathis, Koletsou, Iro, Komarek, Tomas, Koeneke, Karsten, Kong, Albert, Backman, Karl Filip, Kono, Takanori, Konstantinides, Vasilis, Konstantinidis, Nikolaos, Konya, Balazs, Kopeliansky, Revital, Koperny, Stefan Zenon, Korcyl, Krzysztof Marian, Kordas, Konstantinos, Kowalewski, Robert Victor, Kordas, Kostas, Bagnaia, Paolo, Koren, Guy, Korn, Andreas, Korolkov, Ilya, Korolkova, Elena, Korotkova, Natalia, Kortner, Oliver, Kortner, Sandra, Kostyukhin, Vadim, Kotsokechagia, Anastasia, Kotwal, Ashutosh, Bahrasemani, Sina, Koulouris, Aimilianos, Kourkoumeli-charalampidi, Athina, Kourkoumelis, Christine, Kourlitis, Evangelos, Kowalewski, Bob, Kozanecki, Witold, Kozhin, Anatoli, Kramarenko, Viktor, Kramberger, Gregor, Krasnopevtsev, Dimitrii, Bailey, Adam, Krasny, Mieczyslaw, Krasznahorkay, Attila, Kremer, Jakub, Kretzschmar, Jan, Kreul, Ken Matthias, Krieger, Peter, Krieter, Ferdinand, Krishnamurthy, Samyukta, Krishnan, Anjali, Krivos, Martin, Bailey, Virginia, Krizka, Karol, Kroeninger, Kevin Alexander, Kroha, Hubert, Kroll, Jiri, Kroll, Joe, Kulchitsky, Yuri, Kuleshov, Sergey, Kroll, Joseph Ira, Krowpman, Kyle Stuart, Kruchonak, Uladzimir, Baines, John, Krueger, Hans, Krumnack, Nils Erik, Kruse, Mark, Krzysiak, Janina Anna, Kubota, Arisa, Kuchinskaia, Olesia, Kuday, Sinan, Kuchler, Daniela, Kuechler, Jan, Kuehn, Susanne, Adam, Lennart, Bakalis, Christos, Kuhl, Thorsten, Kukhtin, Victor, Koultchitski, Yuri, Kuleshov, Serguei, Kulinich, Yakov Petrovich, Kumar, Mukesh, Kuna, Marine, Kupco, Alexander, Kupfer, Tobias, Kuprash, Oleg, Baker, Keith, Kurashige, Hisaya, Kurchaninov, Leonid, Kurochkin, Yurii, Kurova, Anastasia, Kurth, Matthew Glenn, Kuwertz, Emma Sian, Kuze, Masahiro, Kvam, Audrey Katherine, Kvita, Jiri, Kwan, Tony, Bakker, Pepijn Johannes, Lacasta Llacer, Carlos, Lacava, Francesco, Lack, David Philip John, Lacker, Heiko Markus, Lacour, Didier, Ladygin, Evgueni, Lafaye, Remi, Laforge, Bertrand, Lagouri, Theodota, Lai, Stanley, Bakos, Evelin, Lai, Stan, Lakomiec, Inga Katarzyna, Lambert, Joseph Earl, Lammers, Sabine Wedam, Lampl, Walter, Lampoudis, Christos, Lancon, Eric Christian, Landgraf, Ulrich, Landon, Murrough, Lang, Valerie, Bakshi Gupta, Debottam, Lange, Joern, Langenberg, Robert Johannes, Lankford, Andrew James, Lanni, Francesco, Lantzsch, Kerstin, Lanza, Agostino, Lapertosa, Alessandro, Laporte, Jean-francois, Lari, Tommaso, Lasagni Manghi, Federico, Balaji, Shyam, Lassnig, Mario, Latonova, Vera, Lau, Tak Shun, Laudrain, Antoine, Laurier, Alexandre, Lavorgna, Marco, Lawlor, Sean Dean, Lazzaroni, Massimo, Le, Brian, Le Guirriec, Emmanuel, Balasubramanian, Rahul, Lebedev, Alexandre, Leblanc, Matthew Edgar, LeCompte, Thomas, Leblanc, Matt, Le Compte, Tom, Ledroit, Fabienne, Lee, Ava Chloe Audrey, Lee, Claire, Lee, Graham Richard, Lee Jr, Lawrence, Baldin, Evgenii, Lee, Shih-chang, Lee, Songkyo, Lefebvre, Benoit, Lefebvre, Helena, Lefebvre, Michel, Leggett, Charles, Lehmann, Konstantin, Lehmann, Niklaus, Lehmann Miotto, Giovanna, Leight, William Axel, Balek, Petr, Leisos, Antonios, Lisboa Leite, Marco, Leitgeb, Clara Elisabeth, Leitner, Rupert, Leney, Katharine, Lenz, Tatjana, Leone, Sandra, Leonidopoulos, Christos, Leopold, Alexander, Leroy, Claude, Balli, Fabrice, Les, Robert, Lester, Christopher, Levchenko, Mikhail, Leveque, Jessica, Levin, Daniel, Levin, Dan, Levinson, Lorne, Lewis, Daniel James, Li, Boyang, Li, Bing, Adam Bourdarios, Claire, Balunas, William Keaton, Li, Changqiao, Li, Fan, Li, Heng, Li, Haifeng, Li, Jing, Li, Ke, Li, Liang, Li, Mengran, Li, Quanyin, Li, Shu, Balz, Johannes, Li, Xingguo, Li, Yichen, Li, Zhi, Li, Zhiying, Li, Zhelun, Li, Zhiyuan, Liang, Zhijun, Liberali, Valentino, Liberatore, Marianna, Liberti, Barbara, Banas, Elzbieta, Lie, Ki, Lim, Sanghoon, Lin, Chiao-ying, Lin, Kuan-yu, Linck, Rebecca, Lindley, Rachel Elizabeth, Lindon, Jack, Linss, Arthur, Lionti, Anthony, Lipeles, Elliot, Bandieramonte, Marilena, Lipniacka, Anna, Lisovyi, Mykhailo, Liss, Tony, Liss, Anthony Michael, Lister, Alison, Little, Jared, Liu, Bo, Liu, Bingxuan, Liu, Jianbei, Liu, Jesse, Bandyopadhyay, Anjishnu, Liu, Kun, Liu, Minghui, Liu, Mingyi, Liu, Peilian, Liu, Xiaotian, Liu, Yi, Liu, Yang, Liu, Yanlin, Liu, Yanwen, Livan, Michele, Barak, Liron, Lleres, Annick, Llorente Merino, Javier, Lloyd, Stephen, Lloyd, Steve, Lobodzinska, Ewelina Maria, Loch, Peter, Loffredo, Salvatore, Lohse, Thomas, Lohwasser, Kristin, Lokajicek, Milos, Barbe, William Mickael, Long, Jonathan, Long, Robin Eamonn, Longarini, Iacopo, Longo, Luigi, Longo, Riccardo, Lopez Paz, Ivan, Lopez Solis, Alvaro, Lorenz, Jeanette Miriam, Lorenzo Martinez, Narei, Lory, Alexander, Barberio, Elisabetta, Loesle, Alena, Lou, Xuanhong, Lou, Xinchou, Lounis, Abdenour, Love, Jeremy Robert, Love, Peter, Lozano Bahilo, Julio, Lu, Miaoran, Lu, Sicong, Lu, Yun-ju, Barberis, Dario, Lubatti, Henry, Luci, Claudio, Lucio Alves, Fabio Lucio, Lucotte, Arnaud, Luehring, Fred, Luise, Ilaria, Luminari, Lamberto, Lund-jensen, Bengt, Luongo, Nicholas, Lutz, Margaret Susan, Barbero, Marlon Benoit, Lynn, David, Lyons, Harry John, Lysak, Roman, Lytken, Else, Lyu, Feng, Lyubushkin, Vladimir, Lyubushkina, Tatiana, Ma, Hong, Ma, Lianliang, Ma, Yanhui, Adamczyk, Leszek, Barbour, Gregory, Macdonell, Danika Marina, Maccarrone, Giovanni, Macdonald, Calum Michael, Macdonald, Jack, Machado Miguens, Joana, Madar, Romain, Mader, Wolfgang, Madugoda Ralalage Don, Madhuranga, Madysa, Nico, Maeda, Junpei, Barillari, Teresa, Maeno, Tadashi, Maerker, Max, Magerl, Veronika, Magro, Jacopo, Mahon, Devin, Maidantchik, Carmen, Maio, Amelia, Maj, Klaudia, Majersky, Oliver, Majewski, Stephanie, Barisits, Martin, Makovec, Nikola, Malaescu, Bogdan, Malecki, Pawel, Maleev, Victor, Malek, Fairouz, Malito, Davide, Mallik, Usha, Malone, Claire, Maltezos, Stavros, Malyukov, Sergey, Barkeloo, Jason Tyler Colt, Mamuzic, Judita, Mancini, Giada, Mandalia, Jesal, Mandic, Igor, Manhaes De Andrade Filho, Luciano, Maniatis, Ioannis Michail, Manjarres, Joany, Mankinen, Katja Hannele, Mann, Alexander, Manousos, Athanasios, Barklow, Tim, McCarthy, Tom, McDonald, Emily, Manousos, Thanos, Mansoulie, Bruno, Manthos, Ioannis, Manzoni, Stefano, Marantis, Alexandros, Marchese, Luigi, Marchiori, Giovanni, Marcisovsky, Michal, Barnett, Bruce M, Marcoccia, Lorenzo, Marcon, Caterina, Marjanovic, Marija, Marshall, Zach, Martensson, Mikael, Marti I Garcia, Salvador, Martin, Tim, Martin, Victoria, Martin Dit Latour, Bertrand, Martinelli, Luca, Barnett, Michael, Martinez-perez, Mario, Martinez Agullo, Pablo, Martinez Outschoorn, Verena Ingrid, Martin-haugh, Stewart, Martoiu, Sorin, Martyniuk, Alex Christopher, Marzin, Antoine, Maschek, Stefan Raimund, Masetti, Lucia, Mashimo, Tetsuro, Blenessy, Zuzana, Mashinistov, Ruslan, Masik, Jiri, Maslennikov, Alexei, Massa, Lorenzo, Massarotti, Paolo, Mastrandrea, Paolo, Mastroberardino, Anna, Masubuchi, Tatsuya, Matakias, Dimitrios, Mathisen, Thomas, Baroncelli, Toni, Matic, Andrea, Matsuzawa, Nobuo, Maurer, Julien, Macek, Bostjan, Maximov, Dmitriy, Mazini, Rachid, Maznas, Ioannis, Mazza, Simone Michele, Mc Ginn, Christopher, Mc Gowan, John Patrick, Barone, Gaetano, Mc Kee, Shawn, Mcfayden, Joshua Angus, McPherson, Robert, Mikenberg, Giora, Mccarthy, Thomas, Mccormack, William Patrick, Milke, Christopher Don, Mina, Robert Arthur, Mcdonald, Millie, Mcdougall, Ashley Ellen, Adamek, Lukas, Barr, Alan, Mcfayden, Josh, Mchedlidze, Gvantsa, Mc Kay, Maddie, Mclean, Kayla, Mcmahon, Stephen, Mcnamara, Peter Charles, Mcnicol, Christopher John, Mcpherson, Rob, Mdhluli, Joyful Elma, Meadows, Zachary Alden, Barranco Navarro, Laura, Meehan, Samuel Ross, Megy, Theo, Mehlhase, Sascha, Mehta, Andrew, Meirose, Bernhard, Melini, Davide, Mellado Garcia, Bruce, Meloni, Federico, Melzer, Alexander, Gouveia, Emanuel, Barreiro Alonso, Fernando, Mendes Jacques Da Costa, Antonio Manuel, Meng, Huan Yu, Meng, Lingxin, Menke, Sven, Meoni, Evelin, Mergelmeyer, Sebastian, Merkt, Sebastian Andreas, Merlassino, Claudia, Mermod, Philippe, Merola, Leonardo, Barreiro Guimaraes Da Costa, Joao, Meroni, Chiara, Merz, Garrett William, Meshkov, Oleg, Meshreki, John Kamal Rizk, Metcalfe, Jessica, Mete, Alaettin Serhan, Meyer, Christopher John, Meyer, Jean-pierre, Michetti, Michele, Middleton, Robin, Barron, Uriel, Mijovic, Liza, Mikenberg, George, Mikestikova, Marcela, Mikuz, Marko, Mildner, Hannes, Milic, Adriana, Milke, Chris, Miller, David, Miller, Laura Stephanie, Milov, Alexander, Barsov, Sergey, Milstead, David Anthony, Mina, Rob, Minaenko, Andrei, Minashvili, Irakli, Mince, Laurynas, Mincer, Allen Irving, Mindur, Bartosz, Mineev, Mikhail, Minegishi, Yuji, Mino, Yuya, Bartels, Falk, Mir Martinez, Lluisa Maria, Mironova, Maria, Mitani, Takashi, Mitrevski, Jovan, Mitsou, Vasiliki, Mittal, Monika, Miu, Ovidiu, Miucci, Antonio, Miyagawa, Paul, Mizukami, Atsushi, Bartoldus, Rainer, Mjoernmark, Jan-ulf, Mkrtchyan, Tigran, Mlynarikova, Michaela, Moa, Torbjorn, Mobius, Silke, Mochizuki, Kazuya, Moder, Paul, Mogg, Philipp, Mohapatra, Soumya, Mokgatitswane, Gaogalalwe, Bartolini, Giovanni, Momiyama, Keisuke, Mondal, Buddhadeb, Mondal, Santu, Monig, Klaus, Monnier, Emmanuel, Montalbano, Alyssa Rae, Montejo Berlingen, Javier, Montella, Marco, Monticelli, Fernando, Morange, Nicolas, Barton, Adam Edward, Moreira De Carvalho, Ana Luisa, Moreno Llacer, Maria, Moreno Martinez, Carlos, Morettini, Paolo, Morgenstern, Marcus Matthias, Morgenstern, Stefanie, Mori, Daniel, Morii, Masahiro, Morinaga, Masahiro, Morisbak, Vanja, Adelman, Jahred, Bartos, Pavol, Morley, Anthony, Mornacchi, Giuseppe, Morris, Alice, Morvaj, Ljiljana, Moschovakos, Paraschos, Moss, Josh, Nachman, Benjamin Philip, Moschovakos, Paris, Moser, Brian, Mosidze, Maia, Basalaev, Artem, Moskalets, Tetiana, Moskvitina, Polina, Naryshkin, Iouri, Moss, Joshua, Moyse, Edward, Muanza, Steve, Mueller, James Alfred, Muenstermann, Daniel, Mullier, Geoffrey, Mullin, Joseph, Basan, Alexander, Mungo, Davide Pietro, Munoz Martinez, Jose Luis, Munoz Sanchez, Francisca, Murin, Pavel, Murray, Bill, Murrone, Alessia, Muse, Joseph M, Muskinja, Miha, Mwewa, Chilufya, Myagkov, Alexei, Bassalat, Ahmed, Myers, Ava Anne, Myers, Greg, Myers, John, Myska, Miroslav, Neep, Thomas James, Ng, Yan Wing, Nachman, Ben, Nackenhorst, Olaf, Nag, Abhishek, Nagai, Koichi, Basso, Matthew Joseph, Nagano, Kunihiro, Nagle, James Lawrence, Nagy, Elemer, Nairz, Armin, Higuchi, Yu Nakahama, Nakamura, Koji, Nanjo, Hajime, Napolitano, Fabrizio, Naranjo, Roger, Narayan, Rohin Thampilali, Basson, Candice Ruth, Naryshkin, Iurii, Naseri, Mohsen, Naumann, Thomas, Navarro, Gabriela Alejandra, Navarro Gonzalez, Josep, Nechaeva, Polina, Nechansky, Filip, Neep, Tom, Negri, Andrea, Negrini, Matteo, Bates, Richard, Nellist, Clara, Nelson, Christina, Nelson, Michael Edward, Nemecek, Stanislav, Nessi, Marzio, Neubauer, Mark, Neuhaus, Friedemann, Neumann, Manuel, Newhouse, Robin, Newman, Paul Richard, Batlamous, Souad, Ng, Chi Wing, Ng, Sam Yanwing, Ng, Ying Wun Yvonne, Ngair, Badr-eddine, Nguyen, Hoang Dai Nghia, Nguyen Manh, Tuan, Nibigira, Emery, Nickerson, Richard, Nikolaidou, Rosy, Nielsen, Daniel, Batley, Richard, Nielsen, Jason, Niemeyer, Marcel, Nikiforou, Nikiforos, Nikolaenko, Vladimir, Nikolic, Irena, Nikolopoulos, Konstantinos, Nilsson, Paul, Nindhito, Herjuno Rah, Nisati, Aleandro, Nishu, Nishu, Batool, Binish, Nisius, Richard, Nitsche, Isabel, Nitta, Tatsumi, Nobe, Takuya, Noel, Daniel Louis, Noguchi, Yohei, Nomidis, Ioannis, Nomura, Marcelo Ayumu, Nordberg, Markus, Bin Norisam, Raif Rafideen, Adiguzel, Aytul, Battaglia, Marco, Novak, Jakob, Novak, Tadej, Novgorodova, Olga, Novotny, Radek, Nozka, Libor, Ntekas, Konstantinos, Ntekas, Kostas, Nurse, Emily Laura, Oakham, Gerald, Oberling, Michael B, Bauce, Matteo, Ocariz, Jose Humberto, Ochi, Atsuhiko, Ochoa, Ines, Ochoa, Jean-pierre, O'connor, Kelsey Shea, Oda, Susumu, Odaka, Shigeru, Ordek, Serhat, Ogrodnik, Agnieszka Ewa, Oh, Alexander, Bauer, Florian, Ohm, Christian, Oide, Hideyuki, Oishi, Reiyo, Ojeda, Martina Laura, Okazaki, Yuta, O'keefe, Michael William, Okumura, Kento, Okumura, Yasuyuki, Olariu, Albert, Seabra, Luis, Bauer, Patrick, 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S., Sultanov, Salekh, Sumida, Toshi, Sun, Siyuan, Sun, Xiaohu, Suster, Carl Joseph Edmund, Sutton, Mark, Svatos, Michal, Swiatlowski, Maximilian J, Swift, Stewart Patrick, Biebel, Otmar, Swirski, Thorben, Sydorenko, Alexander, Sykora, Ivan, Sykora, Martin, Sykora, Tomas, Ta, Duc Bao, Tackmann, Kerstin, Kinghorn-taenzer, Joseph Peter, Taffard, Anyes, Tafirout, Reda, Biedermann, Dustin, Tagiev, Emin, Taibah, Reem Hani M, Takashima, Ryuichi, Takeda, Kosuke, Takeshita, Toru, Takeva, Emily Petrova, Takubo, Yosuke, Talby, Mossadek, Talyshev, Alexei, Tam, Kai Chung, Bielski, Rafal, Tamir, Nadav Michael, Tanaka, Junichi, Tanaka, Reisaburo, Tokar, Stanislav, Tsukerman, Ilya, Tsybychev, Dmitri, Tuts, Michael, Vacek, Vaclav, Tanaka, Rei, Tang, Fukun, Bierwagen, Katharina, Tapia Araya, Sebastian, Tapprogge, Stefan, Tarek, Ahmed, Tarem, Shlomit, Tariq, Khuram, Tarna, Grigore, Vandewall, Evan Richard, Vermeulen, Jos, Tartarelli, Francesco, Tas, Petr, Biesuz, Nicolo Vladi, Tasevsky, Marek, Tassi, 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Wakasa, Rena, Walbrecht, Verena Maria, Walder, James William, Walker, Rodney, Walker, Stuart Derek, Walkowiak, Wolfgang, Wallangen, Veronica, Wang, Ann Miao, Wang, Alex Zeng, Blumenschein, Ulrike, Wang, Chen, Wang, Chenliang, Wang, Haichen, Wang, Jiawei, Wang, Peilong, Wang, Renjie, Wang, Rongkun, Wang, Rui, Wang, Song-ming, Wang, Shuanggeng, Aguilar Saavedra, Juan Antonio, Blumenschein, Ulla, Wang, Tao, Wang, Weitao, Wang, Wenxiao, Wang, Yufeng, Wang, Zirui, Wanotayaroj, Chaowaroj, Warburton, Andreas, Ward, Patricia, Ward, Robert James, Warrack, Neil, Bobbink, Gerjan, Watson, Alan, Watson, Miriam, Watts, Gordon, Waugh, Ben, Waugh, Benedict Martin, Webb, Aaron, Weber, Christian, Weber, Michele, Weber, Stephen, Weber, Sebastian Mario, Bobrovnikov, Viktor, Wei, Yingjie, Weidberg, Anthony, Weingarten, Jens, Weirich, Marcel, Weiser, Christian, Wells, Pippa, Wenaus, Torre, Wendland, Bjoern, Wengler, Thorsten, Wenig, Siegfried, Bogavac, Danijela, Wermes, Norbert, Wessels, Martin, Weston, Thomas, Whalen, Kate, Wharton, Andrew Mark, White, Aaron Stephen, White, Andrew, White, Martin John, Whiteson, Daniel, Whitmore, Ben, Bogdan, Mircea Arghir, Wiedenmann, Werner, Wiel, Christian, Wielers, Monika, Wieseotte, Natalie, Wiglesworth, Craig, Wiik-fuchs, Liv, Wilkens, Henric, Wilkins, Lewis, Williams, Daniel, Williams, Hugh, Bogdanchikov, Alexander, Williams, Sarah Louise, Willocq, Stephane, Windischhofer, Philipp, Wingerter, Isabelle, Winkels, Emma, Winklmeier, Frank, Winter, Benedict Tobias, Wittgen, Matthias, Wobisch, Markus, Wolf, Anton, Bohm, Christian, Woelker, Ricardo, Wollrath, Julian, Wolter, Marcin, Wolters, Helmut, Wong, Vincent Wai Sum, Wongel, Alicia, Woods, Natasha Lee, Worm, Steven, Wosiek, Barbara Krystyna, Wozniak, Krzysztof Wieslaw, Boisvert, Veronique, Wraight, Kenneth Gibb, Wu, Sau Lan, Wu, Xin, Wu, Yusheng, Wurzinger, Jonas, Wyatt, Terry, Wynne, Benjamin Michael, Xella, Stefania, Xiang, Jianhuan, Xiao, Xiong, Bokan, Petar, Xie, Xiangyu, Xiotidis, Ioannis, Xu, Da, Xu, Hanlin, Xu, Hao, Xu, Lailin, Xu, Riley, Xu, Tairan, Zaitsev, Alexander, Zeng, Jian Cong, Bold, Tomasz, Zhu, Cheng Guang, Xu, Wenhao, Xu, Yue, Xu, Zhongyukun, Xu, Zijun, Yabsley, Bruce Donald, Yacoob, Sahal, Yallup, David, Yamaguchi, Naoki, Yamaguchi, Yohei, Ahmad, Ammara, Bomben, Marco, Yamatani, Masahiro, Yamauchi, Hiroki, Yamazaki, Tomohiro, Yamazaki, Yuji, Yan, Jun, Yan, Zhen, Yang, Haijun, Yang, Hongtao, Yang, Siqi, Yang, Tianyi, Bona, Marcella, Yang, Xiao, Yang, Xuan, Yang, Yi-lin, Yang, Zhe, Yao, Weiming, Young, Charles, Zacharis, George, Yao, Wei-ming, Yap, Yee Chinn, Ye, Hanfei, Bonilla, Johan Sebastian, Ye, Jingbo, Ye, Shuwei, Yeletskikh, Ivan, Yexley, Melissa, Yin, Pengqi, Yorita, Kohei, Yoshihara, Keisuke, Young, Christopher, Young, Charlie, Yuan, Rui, Boonekamp, Maarten, Yue, Xiaoguang, Zaazoua, Mohamed, Zabinski, Bartlomiej Henryk, Zacharis, Georgios, Zaffaroni, Ettore, Zahreddine, Jad, Zaytsev, Alexandre, Zakareishvili, Tamar, Zakharchuk, Nataliia, Zambito, Stefano, Booth, Callum Dale, Zanzi, Daniele, Zeissner, Sonja Verena, Zeitnitz, Christian, Zemaityte, Gabija, Zeng, Jiancong, Zenin, Oleg, Zenis, Tibor, Zenz, Seth, Zerradi, Soufiane, Zerwas, Dirk, Borbely, Albert Gyorgy, Zgubic, Miha, Zhang, Bowen, Zhang, Dengfeng, Zhang, Gang, Zhang, Jinlong, Zhang, Kaili, Zhang, Lei, Zhang, Liqing, Zhang, Matt, Zhang, Rui, Borecka-bielska, Hanna Maria, Zhang, Shuzhou, Zhang, Xiangke, Zhang, Xueyao, Zhang, Yu, Zhang, Zhiqing Philippe, Zhao, Pingchuan, Zhao, Yuzhan, Zhao, Zhengguo, Zhemchugov, Alexey, Zheng, Zhi, Borgna, Lucas Santiago, Zhong, Dewen, Zhou, Bing, Zhou, Chen, Zhou, Hao, Zhou, Mingliang, Zhou, Ning, Zhou, You, Zhu, Chengguang, Zhu, Chenzheng, Zhu, Heling, Borisov, Anatoli, Zhu, Hongbo, Zhu, Junjie, Zhu, Yingchun, Zhuang, Xuai, Zhukov, Konstantin, Zhulanov, Vladimir, Zieminska, Daria, Zimine, Nikolai, Zimmermann, Stephanie Ulrike, Zinonos, Zinonas, Borissov, Guennadi, Ziolkowski, Michal, Zivkovic, Lidija, Zoccoli, Antonio, Zoch, Knut, Zorbas, Theodore, Zou, Rui, Zwalinski, Lukasz, ATLAS Collaboration, Abed Abud, Adam, Ahmadov, Faig, Bortoletto, Daniela, Boscherini, Davide, Fernandez-bosman, Martine, Bossio, Jonathan, Bouaouda, Khalil, Boudreau, Joseph, Bouhova-thacker, Eva, Boumediene, Djamel Eddine, Bouquet, Romain, Bourlis, Georgios, Ahmed, Waleed Syed, Boveia, Antonio, Boyd, Jamie, Boye, Diallo, Boyko, Igor, Bozson, Adam, Bracinik, Juraj, Brahimi, Nihal, Brandt, Gerhard Immanuel, Brandt, Oleg, Braren, Frued Erik, Ai, Xiaocong, Brau, Benjamin Paul, Brau, Jim, Breaden Madden, Will, Brendlinger, Kurt, Schimmel Brener, Roy, Brenner, Lydia, Brenner, Richard, Bressler, Shikma, Brickwedde, Bernard, Briglin, Daniel Lawrence, Aielli, Giulio, Britton, David, Britzger, Daniel Andreas, Brock, Ian, Brock, Raymond, Brooijmans, Gustaaf, Brooks, William King, Brost, Elizabeth, Bruckman De Renstrom, Pawel, Bruers, Ben, Bruncko, Dusan, Akatsuka, Shunichi, Bruni, Alessia, Bruni, Graziano, Bruschi, Marco, Bruscino, Nello, Bryant, Patrick Eugene, Bryngemark, Lene Kristian, Buanes, Trygve, Buat, Quentin, Buchholz, Peter, Buckley, Andy, Akbiyik, Melike, Budagov, Ioulian, Bugge, Magnar Kopangen, Bulekov, Oleg, Bullard, Brendon, Burch, Tyler James, Burdin, Sergey, Burgard, Carsten Daniel, Burger, Angela Maria, Burghgrave, Blake Oliver, Burr, Jon, Akesson, Torsten, Burton, Charles, Burzynski, Jackson Carl, Buescher, Volker, Buschmann, Eric, Bussey, Peter John, Butler, John Mark, Buttar, Craig, Butterworth, Jonathan, Buzykaev, Aleksey, Buttinger, Will, Akilli, Ece, Buxo Vazquez, Carlos Josue, Buzykaev, Alexey, Cabras, Grazia, Cabrera Urban, Susana, Caforio, Davide, Cai, Huacheng, Cairo, Valentina, Cakir, Orhan, Calace, Noemi, Calafiura, Paolo, Akimov, Andrei, Calderini, Giovanni, Calfayan, Philippe, Callea, Giuseppe, Caloba, Luiz, Caltabiano, Alessandro, Calvente Lopez, Sergio, Calvet, David, Calvet, Samuel, Calvet, Thomas Philippe, Calvetti, Milene, Al Khoury, Konie, Camacho Toro, Reina Coromoto, Camarda, Stefano, Camarero Munoz, Daniel, Camarri, Paolo, Camerlingo, Maria Teresa, Cameron, David, Camincher, Clement, Campana, Simone, Campanelli, Mario, Camplani, Alessandra, Abeling, Kira, Alberghi, Gian Luigi, Canale, Vincenzo, Canesse, Auriane, Bret Cano, Marc, Cantero Garcia, Josu, Cao, Yumeng, Capua, Marcella, Cardarelli, Roberto, Cardillo, Fabio, Carducci, Giovandomenico, Carli, Tancredi, Albert, Justin, Carlino, Giampaolo, Carlson, Ben, Carlson, Evan Michael, Carminati, Leonardo, Carney, Rebecca, Caron, Sascha, Carquin Lopez, Edson, Carra, Sonia, Carratta, Giuseppe, Carter, Joseph, Albicocco, Pietro, Carter, Thomas Michael, Casado Lechuga, Pilar, Casha, Albert Francis, Castiglia, Emma Grace, Castillo, Florencia Luciana, Castillo Garcia, Lucia, Castillo Gimenez, Victoria, Castro, Nuno, Catinaccio, Andrea, Catmore, James, Alconada, Josefina, Cattai, Ariella, Cavaliere, Viviana, Cavasinni, Vincenzo, Celebi, Emre, Celli, Federico, Cerny, Karel, Santiago Cerqueira, Augusto, Cerri, Alex, Cerrito, Lucio, Cerutti, Fabio, Alderweireldt, Sara, Cervelli, Alberto, Cetin, Serkant, Chadi, Zakaria, Chakraborty, Dhiman, Chan, Jay, Chan, Terry Ws, Chan, Wai Yuen, Chapman, John Derek, Chargeishvili, Bakar, Charlton, Dave, Aleksa, Martin, Charman, Thomas Paul, Chatterjee, Meghranjana, Chau, Chav Chhiv, Chekanov, Sergei, Chekulaev, Sergey, Shelkov, G., Chen, Boping, Chen, Cheng, Chen, Chunhui, Chen, Huirun, Alexandrov, Igor, Chen, Hucheng, Chen, Jing, Chen, Jue, Chen, Jiayi, Chen, Shion, Chen, Shenjian, Chen, Xin, Chen, Ye, Chen, Yu-heng, Cheng, Hok Chuen, Alexa, Calin, Cheng, Huajie, Cheplakov, Alexander, Cheremushkina, Evgeniya, Cherkaoui El Moursli, Rajaa, Cheu, Elliott, Cheung, Kingman, Chevalerias, Thibault, Chevalier, Laurent, Chiarella, Vitaliano, Chiarelli, Giorgio, Alexopoulos, Theodoros, Chiodini, Gabriele, Chisholm, Andrew Stephen, Chitan, Adrian, Chiu, I-huan, Chiu, Justin, Chizhov, Mihail, Choi, Kyungeon, Chomont, Arthur, Chou, Yuan-tang, Chow, Edwin, Alfonsi, Alice, Christopher, Lawrence Davou, Chu, Ming Chung, Chu, Xiaotong, Chudoba, Jiri, Chwastowski, Janusz, Cieri, Davide, Ciesla, Krzysztof, Cindro, Vladimir, Cioara, Irina Antonela, Ciocio, Alessandra, Abhayasinghe, Deshan Kavishka, Alfonsi, Fabrizio, Cirotto, Francesco, Citraro, Saverio, Citron, Zvi, Citterio, Mauro, Ciubotaru, Dan Andrei, Ciungu, Bianca Monica, Clark, Allan, Clark, Philip, Clawson, Savannah, Clement, Christophe, Alhroob, Muhammad, Clissa, Luca, Coadou, Yann, Cobal, Marina, Coccaro, Andrea, Cochran Jr, James Herbert, Coelho Lopes De Sa, Rafael, Cohen, Hadar, Coimbra, Artur, Cole, Brian, Colijn, Auke-pieter, Ali, Babar, Collot, Johann, Conde Muino, Patricia, Connell, Simon, Connelly, Ian Allan, Conventi, Francesco, Sarkar, Amanda, Cormier, Felix, Corpe, Louie Dartmoor, Corradi, Massimo, Corrigan, Eric Edward, Ali, Shahzad, Corriveau, Francois, Costa Mezquita, Maria Jose, Costanza, Francesco, Costanzo, Davide, Cowan, Glen, Cowley, James William, Crane, Jonathan, Cranmer, Kyle Stuart, Creager, Rachael Ann, Crepe-renaudin, Sabine, Aliev, Malik, Crescioli, Francesco, Cristinziani, Markus, Cristoforetti, Marco, Croft, Vincent Alexander, Crone, Gordon, Crosetti, Giovanni, Cunningham, William Reilly, Crosetti, Nanni, Cueto Gomez, Ana Rosario, Cuhadar Donszelmann, Tulay, Alimonti, Gianluca, Cui, Han, Cukierman, Aviv Ruben, Dandoy, Jeffrey Rogers, Darbo, Giovanni, Cunningham, Liam, Czekierda, Sabina Anna, Czodrowski, Patrick Karl, Czurylo, Marta, Sousa, Mario Jose, Da Fonseca Pinto, Joao Victor, Alison, John, Da Via, Cinzia, Dabrowski, Wladyslaw, Dachs, Florian, Dado, Tomas, Dahbi, Salah-eddine, Dai, Tiesheng, Dallapiccola, Carlo, Dam, Mogens, D'amen, Gabriele, D'amico, Valerio, Allaire, Corentin, Damp, Johannes Frederic, Dandoy, Jeff, Daneri, Maria Florencia, Danninger, Matthias, Dao, Valerio, Darbo, Nanni, Dartsi, Olympia, Dattagupta, Aparajita, D'auria, Saverio, David, Claire, Allbrooke, Benedict, Davidek, Tomas, Davis, Douglas Raymond, Dawson, Ian, De, Kaushik, 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Anna, Di Ciaccio, Lucia, Di Donato, Camilla, Alunno Camelia, Elio, Di Girolamo, Alessandro, Di Gregorio, Giulia, Di Luca, Andrea, Di Micco, Biagio, Di Nardo, Roberto, Di Sipio, Riccardo, Diaconu, Cristinel, De Almeida Dias, Flavia, Vale, Tiago, Diaz Gutierrez, Marco Aurelio, Alvarez Estevez, Manuel, Diaz Capriles, Federico Guillermo, Dickinson, Jennet Elizabeth, Didenko, Mariia, Diehl, Edward, Dietrich, Janet, Diez Cornell, Sergio, Diez Pardos, Carmen, Dimitrievska, Aleksandra, Ding, Wei, Dingfelder, Jochen Christian, Alviggi, Mariagrazia, Dittmeier, Sebastian, Dittus, Fido, Djama, Fares, Djobava, Tamar, Djuvsland, Julia Isabell, Barros do Vale, Maria Aline, Dobre, Monica, Dodsworth, David Michael, Doglioni, Caterina, Dolejsi, Jiri, Do Amaral Coutinho, Yara, Dolezal, Zdenek, Donadelli, Marisilvia, Dong, Binbin, Donini, Julien Noce, D'onofrio, Adelina, D'onofrio, Monica, Dopke, Jens, Doria, Alessandra, Dova, Maria Teresa, Doyle, Tony, Ambler, Alessandro, Drake, Gary, Drechsler, Eric, Dreyer, Etienne, Dreyer, Timo, Drobac, Alec Swenson, Du, Dongshuo, Du Pree, Tristan Arnoldus, Duan, Yanyun, Dubinin, Filipp, Dubovsky, Michal, Ambroz, Luca, Dubreuil, Arnaud, Duchovni, Ehud, Duckeck, Guenter, Ducu, Otilia Anamaria, Duda, Dominik, Dudarev, Alexey, Dudder, Andreas Christian, D'uffizi, Matteo, Duflot, Laurent, Duehrssen-debling, Michael, Amelung, Christoph, Dulsen, Carsten, Dumancic, Mirta, Dumitriu, Ana Elena, Dunford, Monica, Dungs, Sascha, Duperrin, Arnaud, Yildiz, Duran, Dueren, Michael Johannes, Durglishvili, Archil, Dutta, Baishali, Abouzeid, Hass, Amidei, Dante, Duvnjak, Damir, Dyckes, George, Ellis, Nicolas, Dyckes, Ian, Dyndal, Mateusz, Dysch, Samuel Dezso, Dziedzic, Bartosz Sebastian, Eggleston, Michael Glenn, Eifert, Till, Eigen, Gerald, Amor Dos Santos, Susana Patricia, Einsweiler, Kevin Frank, Ekelof, Tord Johan Carl, El Jarrari, Hassnae, Ellajosyula, Venugopal, Ellert, Mattias, Ellinghaus, Frank, Elliot, Alison, Ellis, Nick, Emerman, Alexander, Elmsheuser, Johannes, Amoroso, Simone, Elsing, Markus, Emeliyanov, Dmitry, Ezhilov, Alexey, Emerman, Alex, Enari, Yuji, Erdmann, Johannes, Ereditato, Antonio, Erland, Paula Agnieszka, Errenst, Martin, Escalier, Marc, Amrouche, Cherifa Sabrina, Escobar Ibanez, Carlos, Estrada Pastor, Oscar, Etzion, Erez, Gaspar De Andrade Evans, Guiomar, Evans, Hal, Evans, Meirin Oan, Ezhilov, Aleksei, Fabbri, Federica, Fabbri, Laura, Fabiani, Veronica, Anastopoulos, Christos, Facini, Gabriel, Fakhrutdinov, Rinat, Falciano, Speranza, Falke, Peter Johannes, Falke, Saskia, Faltova, Jana, Fang, Yi, Fang, Yaquan, Fanourakis, Georgios, Fanti, Marcello, Andari, Nansi, Faraj, Mohammed, Farbin, Amir, Farilla, Addolorata, Farilla, Ada, Farina, Edoardo Maria, Farooque, Trisha, Farrington, Sinead, Farthouat, Philippe, Fassi, Farida, Fassnacht, Patrick, Andeen, Timothy Robert, Fassouliotis, Dimitris, Faucci Giannelli, Michele, Fawcett, William James, Fayard, Louis, Fedin, Oleg, Fehr, Armin, Feickert, Matthew Carl, Feligioni, Lorenzo, Fell, Alix, Fell, Alexandra, Anders, John Kenneth, Feng, Cunfeng, Feng, Minyu, Fenton, Michael James, Fenyuk, Alexandre, Ferguson, Sarah Whitney, Ferrando, James Edward, Ferrari, Arnaud, Ferrari, Pamela, Ferrari, Roberto, Ferrer Soria, Antonio, Anderson, John Thomas, Ferrere, Didier, Ferretti, Claudio, Fiedler, Frank, Filipcic, Andrej, Filthaut, Frank, Finelli, Kevin Daniel, Castro Nunes Fiolhais, Miguel, Fiorini, Luca, Fischer, Florian, Fischer, Julian, Andrean, Stefio Yosse, Fisher, Wade Cameron, Fitschen, Tobias, Fleck, Ivor, Fleischmann, Philipp, Flick, Tobias, Flierl, Bernhard Matthias, Flores, Lucas Macrorie, Flores Castillo, Luis Roberto, Follega, Francesco Maria, Fomin, Nikolai, Abraham, Nicola Louise, Andreazza, Attilio, Foo, Joel Hengwei, Forcolin, Giulio Tiziano, Forland, Blake Christopher, Formica, Andrea, Forster, Fabian Alexander, Forti, Alessandra, Fortin, Etienne Marie, Foti, Maria Giovanna, Fournier, Daniel, Fox, Harald, Andrei, Victor, Francavilla, Paolo, Francescato, Simone, Franchini, Matteo, Franchino, Silvia, Francis, David, Franco, Luca, Franconi, Laura, Franklin, Melissa, Frattari, Guglielmo, Freeman, Patrick Moriishi, Anelli, Christopher Ryan, Freund, Benjamin, Spolidoro Freund, Werner, Freundlich, Elena Murielle, Frizzell, Dylan Cooper, Froidevaux, Daniel, Frost, James, Fujimoto, Minori, Fullana Torregrosa, Esteban, Fusayasu, Takahiro, Fuster Verdu, Juan, Angelidakis, Stylianos, Gabrielli, Alessandro, Gabrielli, Andrea, Gadow, Paul Philipp, Gagliardi, Guido, Gagnon, Louis-guillaume, Gallardo, Gabriel, Gallas, Elizabeth, Gallop, Bruce Joseph, Gamboa Goni, Rodrigo, Gan, KK, Angerami, Aaron, Garcia Pascual, Juan Antonio, Gan, Kock Kiam, Ganguly, Sanmay, Gao, Jun, Gao, Yanyan, Gao, Yongsheng, Garay Walls, Francisca, Garcia, Carmen, Garcia Navarro, Jose Enrique, Garcia, Juanan, Anisenkov, Alexey, Garcia-sciveres, Maurice, Gardner Jr, Robert William, Garelli, Nicoletta, Gargiulo, Simona, Garner, Christopher Andrew, Garonne, Vincent, Gasiorowski, Sean Joseph, Do Nascimento Gaspar, Philipp, Gatta, Maurizio, Gaudio, Gabriella, Annovi, Alberto, Gauzzi, Paolo, Gavrilenko, Igor, Gavrilyuk, Alexander, Gavriliuk, Aleksandr, Gay, Colin Warren, Gaycken, Goetz, Gazis, Evangelos, Geanta, Andrei Alexandru, Gee, Carolyn, Gee, Norman, Antel, Claire, Geisen, Jannik, Geisen, Marc, Gemme, Claudia, Genest, Marie-helene, Geng, Cong, Gentile, Simonetta, Gentsos, Christos, George, Simon, Geralis, Theodoros, Gerlach, Lino Oscar, Anthony, Matthew Thomas, Gessinger-befurt, Paul, Gessner, Gregor, Ghasemi Bostanabad, Meisam, Ghneimat, Mazuza, Ghosh, Aishik, Ghosh, Anindya, Giacobbe, Benedetto, Giagu, Stefano, Giangiacomi, Nico, Giannetti, Paola, Antipov, Egor, Giannini, Antonio, Giannini, Giulia, Gibson, Stephen, Gignac, Matthew, Gil, Damian Tomasz, Gilbert, Benjamin Jacob, Gillberg, Dag, Gilles, Geoffrey, Gillwald, Nils, Gingrich, Douglas, Abramowicz, Halina, Antonelli, Mario, Giordani, MarioPaolo, Gingrich, Doug, Giordani, Mapo, Giraud, Pierre-francois, Giugliarelli, Gilberto, Giugni, Danilo, Giuli, Francesco, Gkaitatzis, Stamatios, Gkialas, Ioannis, Gkougkousis, Evangelos, Antrim, Daniel Joseph, Gkougkousis, Vagelis, Gkountoumis, Panagiotis, Gladilin, Leonid, Glasman, Claudia, Glaysher, Paul, Gledhill, Galen Rhodes, Gnesi, Ivan, Goblirsch-kolb, Maximilian Emanuel, Godin, Dominique, Goldfarb, Steven, Anulli, Fabio, Golling, Tobias, Golubkov, Dmitry, Da Silva Gomes, Agostinho, Goncalves Gama, Rafael, Morais Silva Goncalo, Ricardo Jose, Gonella, Giulia, Gonella, Laura, Gongadze, Alexi, Gonnella, Francesco, Gonski, Julia Lynne, Aoki, Masato, Gonzalez De La Hoz, Santiago, Gonzalez Fernandez, Sergio, Gonzalez Lopez, Ricardo, Gonzalez Renteria, Cesar, Gonzalez Suarez, Rebeca, Gonzalez Sevilla, Sergio, Gonzalvo Rodriguez, Galo Rafael, Goossens, Luc, Gorasia, Nandish Arjan, Gorbounov, Petr, Aparisi Pozo, Javier Alberto, Gordon, Howard, Gorini, Benedetto, Gorini, Edoardo, Gorisek, Andrej, Goshaw, Alfred, Grillo, Alexander, Goshaw, Al, Gostkin, Mikhail, Gottardo, Carlo Alberto, Gouighri, Mohamed, Aparo, Marco, Goussiou, Anna, Govender, Nicolin, Goy, Corinne, Grabowska-bold, Iwona, Gramstad, Eirik, Grancagnolo, Sergio, Grandi, Mario, Grachev, Vadim, Gravila, Paul, Gravili, Francesco Giuseppe, Aperio Bella, Ludovica, Gray, Chloe, Gray, Heather, Green, Barry, Grefe, Christian, Gregor, Ingrid, Grenier, Philippe, Grevtsov, Kirill, Grieco, Chiara, Grieser, Nathan Allen, Grillo, Alex, Aranzabal Barrio, Nordin, Grimm, Kathryn, Grinstein, Sebastian, Grivaz, Jean-francois, Groh, Sabrina, Gross, Eilam, Grosse-knetter, Joern, Grout, Zara Jane, Grud, Christopher Ryan, Grummer, Aidan, Grundy, James Cameron, Araujo Ferraz, Victor, Guan, Liang, Guan, Wen, Gubbels, Chris, Guenther, Jaroslav, Gubbels, Christopher, Guerrero Rojas, Jesus, Guescini, Francesco, Guest, Dan, Guest, Daniel, Gugel, Ralf, Pereira, Rodrigo, Guida, Alessandro, Guillemin, Thibault, Guindon, Stefan, Guo, Jun, Guo, Ziyu, Gupta, Ruchi, Gurbuz, Saime, 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National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Subatomique et de Cosmologie (LPSC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Centre de Calcul de l'IN2P3 (CC-IN2P3), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), ATLAS, Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), De Castro , S., Fabbri , L., Gabrielli , A., Rinaldi , L., Semprini Cesari , N., Sioli , M., Villa , M., Zoccoli , A., Bellagamba , L., Boscherini , D., Bruni , A., Bruni , G., Giacobbe , B., Polini , A., Sbarra , C., Sidoti , A., Franchini , M., Romano , M., Valentinetti , S., Alberghi , G. L., Lasagni Manghi , F, Massa , L., Vittori , C., Alfonsi , F, Cabras , G., Cervelli , A., Negrini , M., Todome , K., Carratta , G., Cavalli , N., Clissa , L., ATLAS collaboration, Aad, G., Abbott, B., Abbott, D. C., Abud, A. A., Abeling, K., Abhayasinghe, D. K., Abidi, S. H., Abouzeid, O. S., Abraham, N. L., Abramowicz, H., Abreu, H., Abulaiti, Y., Acharya, B. S., Achkar, B., Adam, L., Bourdarios, C. A., Adamczyk, L., Adamek, L., Adelman, J., Adiguzel, A., Adorni, S., Adye, T., Affolder, A. A., Afik, Y., Agapopoulou, C., Agaras, M. N., Aggarwal, A., Agheorghiesei, C., Aguilar-Saavedra, J. A., Ahmad, A., Ahmadov, F., Ahmed, W. S., Ai, X., Aielli, G., Akatsuka, S., Akbiyik, M., Akesson, T. P. A., Akilli, E., Akimov, A. V., Al Khoury, K., Alberghi, G. L., Albert, J., Albicocco, P., Verzini, M. J. A., Alderweireldt, S., Aleksa, M., Aleksandrov, I. N., Alexa, C., Alexopoulos, T., Alfonsi, A., Alfonsi, F., Alhroob, M., Ali, B., Ali, S., Aliev, M., Alimonti, G., Alison, J., Allaire, C., Allbrooke, B. M. M., Allport, P. P., Aloisio, A., Alonso, F., Alpigiani, C., Camelia, E. A., Estevez, M. A., Alviggi, M. G., Coutinho, Y. A., Ambler, A., Ambroz, L., Amelung, C., Amidei, D., Dos Santos, S. P. A., Amoroso, S., Amrouche, C. S., Anastopoulos, C., Andari, N., Andeen, T., Anders, J. K., Anderson, J. T., Andrean, S. Y., Andreazza, A., Andrei, V., Anelli, C. R., Angelidakis, S., Angerami, A., Anisenkov, A. V., Annovi, A., Antel, C., Anthony, M. T., Antipov, E., Antonelli, M., Antrim, D. J. A., Anulli, F., Aoki, M., Pozo, J. A. A., Aparo, M. A., Bella, L. A., Aranzabal, N., Ferraz, V. A., Pereira, R. A., Arcangeletti, C., Arce, A. T. H., Arguin, J. -F., Argyropoulos, S., Arling, J. -H., Armbruster, A. J., Armstrong, A., Arnaez, O., Arnold, H., Tame, Z. P. A., Artoni, G., Asada, H., Asai, K., Asai, S., Asawatavonvanich, T., Asbah, N., Asimakopoulou, E. M., Asquith, L., Assahsah, J., Assamagan, K., Astalos, R., Atkin, R. J., Atkinson, M., Atlay, N. B., Atmani, H., Atmasiddha, P. A., Augsten, K., Austrup, V. A., Avolio, G., Ayoub, M. K., Azuelos, G., Babal, D., Bachacou, H., Bachas, K., Backman, F., Bagnaia, P., Bahmani, M., Bahrasemani, H., Bailey, A. J., Bailey, V. R., Baines, J. T., Bakalis, C., Baker, O. K., Bakker, P. J., Bakos, E., Gupta, D. B., Balaji, S., Balasubramanian, R., Baldin, E. M., Balek, P., Balli, F., Balunas, W. K., Balz, J., Banas, E., Bandieramonte, M., Bandyopadhyay, A., Barak, L., Barbe, W. M., Barberio, E. L., Barberis, D., Barbero, M., Barbour, G., Barillari, T., Barisits, M. -S., Barkeloo, J., Barklow, T., Barnett, B. M., Barnett, R. M., Barnovska-Blenessy, Z., Baroncelli, A., Barone, G., Barr, A. J., Navarro, L. B., Barreiro, F., da Costa, J. B. G., Barron, U., Barsov, S., Bartels, F., Bartoldus, R., Bartolini, G., Barton, A. E., Bartos, P., Basalaev, A., Basan, A., Bassalat, A., Basso, M. J., Basson, C. R., Bates, R. L., Batlamous, S., Batley, J. R., Batool, B., Battaglia, M., Bauce, M., Bauer, F., Bauer, P., Bawa, H. S., Bayirli, A., Beacham, J. B., Beau, T., Beauchemin, P. H., Becherer, F., Bechtle, P., Beck, H. P., Becker, K., Becot, C., Beddall, A., Beddall, A. J., Bednyakov, V. A., Bee, C. P., Beermann, T. A., Begalli, M., Begel, M., Behera, A., Behr, J. K., Beisiegel, F., Belfkir, M., Bella, G., Bellagamba, L., Bellerive, A., Bellos, P., Beloborodov, K., Belotskiy, K., Belyaev, N. L., Benchekroun, D., Benekos, N., Benhammou, Y., Benjamin, D. P., Benoit, M., Bensinger, J. R., Bentvelsen, S., Beresford, L., Beretta, M., Berge, D., Kuutmann, E. B., Berger, N., Bergmann, B., Bergsten, L. J., Beringer, J., Berlendis, S., Bernardi, G., Bernius, C., Bernlochner, F. U., Berry, T., Berta, P., Berthold, A., Bertram, I. A., Bylund, O. B., Bethke, S., Betti, A., Bevan, A. J., Bhatta, S., Bhattacharya, D. S., Bhattarai, P., Bhopatkar, V. S., Bi, R., Bianchi, R. M., Biebel, O., Biedermann, D., Bielski, R., Bierwagen, K., Biesuz, N. V., Biglietti, M., Billoud, T. R. V., Bindi, M., Bingul, A., Bini, C., Biondi, S., Birch-Sykes, C. J., Birman, M., Bisanz, T., Biswal, J. P., Biswas, D., Bitadze, A., Bittrich, C., Bjorke, K., Blair, R. E., Blazek, T., Bloch, I., Blocker, C., Blue, A., Blumenschein, U., Bobbink, G. J., Bobrovnikov, V. S., Bogavac, D., Bogdan, M., Bogdanchikov, A. G., Bohm, C., Boisvert, V., Bokan, P., Bold, T., Bomben, M., Bona, M., Bonilla, J. S., Boonekamp, M., Booth, C. D., Borbely, A. G., Borecka-Bielska, H. M., Borgna, L. S., Borisov, A., Borissov, G., Bortoletto, D., Boscherini, D., Bosman, M., Sola, J. D. B., Bouaouda, K., Boudreau, J., Bouhova-Thacker, E. V., Boumediene, D., Bouquet, R., Bourlis, G., Boveia, A., Boyd, J., Boye, D., Boyko, I. R., Bozson, A. J., Bracinik, J., Brahimi, N., Brandt, G., Brandt, O., Braren, F., Brau, B., Brau, J. E., Madden, W. D. B., Brendlinger, K., Brener, R., Brenner, L., Brenner, R., Bressler, S., Brickwedde, B., Briglin, D. L., Britton, D., Britzger, D., Brock, I., Brock, R., Brooijmans, G., Brooks, W. K., Brost, E., de Renstrom, P. A. B., Bruers, B., Bruncko, D., Bruni, A., Bruni, G., Bruschi, M., Bruscino, N., Bryant, P., Bryngemark, L., Buanes, T., Buat, Q., Buchholz, P., Buckley, A. G., Budagov, I. A., Bugge, M. K., Bulekov, O., Bullard, B. A., Burch, T. J., Burdin, S., Burgard, C. D., Burger, A. M., Burghgrave, B., Burr, J. T. P., Burton, C. D., Burzynski, J. C., Buscher, V., Buschmann, E., Bussey, P. J., Butler, J. M., Buttar, C. M., Butterworth, J. M., Buttinger, W., Vazquez, C. J. B., Buzykaev, A. R., Cabras, G., Urban, S. C., Caforio, D., Cai, H., Cairo, V. M. M., Cakir, O., Calace, N., Calafiura, P., Calderini, G., Calfayan, P., Callea, G., Caloba, L. P., Caltabiano, A., Lopez, S. C., Calvet, D., Calvet, S., Calvet, T. P., Calvetti, M., Toro, R. C., Camarda, S., Munoz, D. C., Camarri, P., Camerlingo, M. T., Cameron, D., Camincher, C., Campana, S., Campanelli, M., Camplani, A., Canale, V., Canesse, A., Bret, M. C., Cantero, J., Cao, Y., Capua, M., Cardarelli, R., Cardillo, F., Carducci, G., Carli, T., Carlino, G., Carlson, B. T., Carlson, E. M., Carminati, L., Carney, R. M. D., Caron, S., Carquin, E., Carra, S., Carratta, G., Carter, J. W. S., Carter, T. M., Casado, M. P., Casha, A. F., Castiglia, E. G., Castillo, F. L., Garcia, L. C., Gimenez, V. C., Castro, N. F., Catinaccio, A., Catmore, J. R., Cattai, A., Cavaliere, V., Cavasinni, V., Celebi, E., Celli, F., Cerny, K., Cerqueira, A. S., Cerri, A., Cerrito, L., Cerutti, F., Cervelli, A., Cetin, S. A., Chadi, Z., Chakraborty, D., Chan, J., Chan, W. S., Chan, W. Y., Chapman, J. D., Chargeishvili, B., Charlton, D. G., Charman, T. P., Chatterjee, M., Chau, C. C., Chekanov, S., Chekulaev, S. V., Chelkov, G. A., Chen, B., Chen, C., Chen, C. H., Chen, H., Chen, J., Chen, S., Chen, S. J., Chen, X., Chen, Y., Chen, Y. -H., Cheng, H. C., Cheng, H. J., Cheplakov, A., Cheremushkina, E., El Moursli, R. C., Cheu, E., Cheung, K., Chevalerias, T. J. A., Chevalier, L., Chiarella, V., Chiarelli, G., Chiodini, G., Chisholm, A. S., Chitan, A., Chiu, I., Chiu, Y. H., Chizhov, M. V., Choi, K., Chomont, A. R., Chou, Y., Chow, Y. S., Christopher, L. D., Chu, M. C., Chu, X., Chudoba, J., Chwastowski, J. J., Cieri, D., Ciesla, K. M., Cindro, V., Cioara, I. A., Ciocio, A., Cirotto, F., Citraro, S., Citron, Z. H., Citterio, M., Ciubotaru, D. A., Ciungu, B. M., Clark, A., Clark, P. J., Clawson, S. E., Clement, C., Clissa, L., Coadou, Y., Cobal, M., Coccaro, A., Cochran, J., de Sa, R. C. L., Cohen, H., Coimbra, A. E. C., Cole, B., Colijn, A. P., Collot, J., Muino, P. C., Connell, S. H., Connelly, I. A., Conventi, F., Cooper-Sarkar, A. M., Cormier, F., Corpe, L. D., Corradi, M., Corrigan, E. E., Corriveau, F., Costa, M. J., Costanza, F., Costanzo, D., Cowan, G., Cowley, J. W., Crane, J., Cranmer, K., Creager, R. A., Crepe-Renaudin, S., Crescioli, F., Cristinziani, M., Cristoforetti, M., Croft, V., Crone, G. J., Crosetti, G., Cueto, A., Donszelmann, T. C., Cui, H., Cukierman, A. R., Cunningham, W. R., Czekierda, S., Czodrowski, P., Czurylo, M. M., da Cunha Sargedas De Sousa, M. J., da Fonseca Pinto, J. V., da Via, C., Dabrowski, W., Dachs, F., Dado, T., Dahbi, S., Dai, T., Dallapiccola, C., Dam, M., D'Amen, G., D'Amico, V., Damp, J., Dandoy, J. R., Daneri, M. F., Danninger, M., Dao, V., Darbo, G., Dartsi, O., Dattagupta, A., D'Auria, S., David, C., Davidek, T., Davis, D. R., Dawson, I., De, K., de Asmundis, R., de Beurs, M., de Castro, S., de Groot, N., de Jesus Pardal Vicente, M., de Jong, P., de la Torre, H., de Maria, A., de Pedis, D., de Salvo, A., de Sanctis, U., de Santis, M., de Santo, A., de Vivie De Regie, J. B., Dedovich, D. V., Deiana, A. M., Del Peso, J., Delabat Diaz, Y., Delgove, D., Deliot, F., Delitzsch, C. M., della Pietra, M., della Volpe, D., Dell'Acqua, A., Dell'Asta, L., Delmastro, M., Delporte, C., Delsart, P. A., Demers, S., Demichev, M., Demontigny, G., Denisov, S. P., D'Eramo, L., Derendarz, D., Derkaoui, J. E., Derue, F., Dervan, P., Desch, K., Dette, K., Deutsch, C., Deviveiros, P. O., Di Bello, F. A., Di Ciaccio, A., Di Ciaccio, L., Di Donato, C., Di Girolamo, A., Di Gregorio, G., Di Luca, A., Di Micco, B., Di Nardo, R., Di Sipio, R., Diaconu, C., Dias, F. A., Do Vale, T. D., Diaz, M. A., Capriles, F. G. D., Dickinson, J., Didenko, M., Diehl, E. B., Dietrich, J., Cornell, S. D., Pardos, C. D., Dimitrievska, A., Ding, W., Dingfelder, J., Dittmeier, S. J., Dittus, F., Djama, F., Djobava, T., Djuvsland, J. I., Do Vale, M. A. B., Dobre, M., Dodsworth, D., Doglioni, C., Dolejsi, J., Dolezal, Z., Donadelli, M., Dong, B., Donini, J., D'Onofrio, A., D'Onofrio, M., Dopke, J., Doria, A., Dova, M. T., Doyle, A. T., Drake, G., Drechsler, E., Dreyer, E., Dreyer, T., Drobac, A. S., Du, D., du Pree, T. A., Duan, Y., Dubinin, F., Dubovsky, M., Dubreuil, A., Duchovni, E., Duckeck, G., Ducu, O. A., Duda, D., Dudarev, A., Dudder, A. C., D'Uffizi, M., Duflot, L., Duhrssen, M., Dulsen, C., Dumancic, M., Dumitriu, A. E., Dunford, M., Dungs, S., Duperrin, A., Yildiz, H. D., Duren, M., Durglishvili, A., Dutta, B., Duvnjak, D., Dyckes, G. I., Dyndal, M., Dysch, S., Dziedzic, B. S., Eggleston, M. G., Eifert, T., Eigen, G., Einsweiler, K., Ekelof, T., El Jarrari, H., Ellajosyula, V., Ellert, M., Ellinghaus, F., Elliot, A. A., Ellis, N., Elmsheuser, J., Elsing, M., Emeliyanov, D., Emerman, A., Enari, Y., Erdmann, J., Ereditato, A., Erland, P. A., Errenst, M., Escalier, M., Escobar, C., Pastor, O. E., Etzion, E., Evans, G., Evans, H., Evans, M. O., Ezhilov, A., Fabbri, F., Fabbri, L., Fabiani, V., Facini, G., Fakhrutdinov, R. M., Falciano, S., Falke, P. J., Falke, S., Faltova, J., Fang, Y., Fanourakis, G., Fanti, M., Faraj, M., Farbin, A., Farilla, A., Farina, E. M., Farooque, T., Farrington, S. M., Farthouat, P., Fassi, F., Fassnacht, P., Fassouliotis, D., Giannelli, M. F., Fawcett, W. J., Fayard, L., Fedin, O. L., Fehr, A., Feickert, M., Feligioni, L., Fell, A., Feng, C., Feng, M., Fenton, M. J., Fenyuk, A. B., Ferguson, S. W., Ferrando, J., Ferrari, A., Ferrari, P., Ferrari, R., Ferrer, A., Ferrere, D., Ferretti, C., Fiedler, F., Filipcic, A., Filthaut, F., Finelli, K. D., Fiolhais, M. C. N., Fiorini, L., Fischer, F., Fischer, J., Fisher, W. C., Fitschen, T., Fleck, I., Fleischmann, P., Flick, T., Flierl, B. M., Flores, L., Castillo, L. R. F., Follega, F. M., Fomin, N., Foo, J. H., Forcolin, G. T., Forland, B. C., Formica, A., Forster, F. A., Forti, A. C., Fortin, E., Foti, M. G., Fournier, D., Fox, H., Francavilla, P., Francescato, S., Franchini, M., Franchino, S., Francis, D., Franco, L., Franconi, L., Franklin, M., Frattari, G., Freeman, P. M., Freund, B., Freund, W. S., Freundlich, E. M., Frizzell, D. C., Froidevaux, D., Frost, J. A., Fujimoto, M., Torregrosa, E. F., Fusayasu, T., Fuster, J., Gabrielli, A., Gadow, P., Gagliardi, G., Gagnon, L. G., Gallardo, G. E., Gallas, E. J., Gallop, B. J., Goni, R. G., Gan, K. K., Ganguly, S., Gao, J., Gao, Y., Gao, Y. S., Walls, F. M. G., Garcia, C., Navarro, J. E. G., Pascual, J. A. G., Garcia-Sciveres, M., Gardner, R. W., Garelli, N., Gargiulo, S., Garner, C. A., Garonne, V., Gasiorowski, S. J., Gaspar, P., Gatta, M., Gaudio, G., Gauzzi, P., Gavrilenko, I. L., Gavrilyuk, A., Gay, C., Gaycken, G., Gazis, E. N., Geanta, A. A., Gee, C. M., Gee, C. N. P., Geisen, J., Geisen, M., Gemme, C., Genest, M. H., Geng, C., Gentile, S., Gentsos, C., George, S., Geralis, T., Gerlach, L. O., Gessinger-Befurt, P., Gessner, G., Bostanabad, M. G., Ghneimat, M., Ghosh, A., Giacobbe, B., Giagu, S., Giangiacomi, N., Giannetti, P., Giannini, A., Giannini, G., Gibson, S. M., Gignac, M., Gil, D. T., Gilbert, B. J., Gillberg, D., Gilles, G., Gillwald, N. E. K., Gingrich, D. M., Giordani, M. P., Giraud, P. F., Giugliarelli, G., Giugni, D., Giuli, F., Gkaitatzis, S., Gkialas, I., Gkougkousis, E. L., Gkountoumis, P., Gladilin, L. K., Glasman, C., Glaysher, P. C. F., Gledhill, G. R., Gnesi, I., Goblirsch-Kolb, M., Godin, D., Goldfarb, S., Golling, T., Golubkov, D., Gomes, A., Gama, R. G., Goncalo, R., Gonella, G., Gonella, L., Gongadze, A., Gonnella, F., Gonski, J. L., de la Hoz, S. G., Fernandez, S. G., Lopez, R. G., Renteria, C. G., Suarez, R. G., Gonzalez-Sevilla, S., Rodriguez, G. R. G., Goossens, L., Gorasia, N. A., Gorbounov, P. A., Gordon, H. A., Gorini, B., Gorini, E., Gorisek, A., Goshaw, A. T., Gostkin, M. I., Gottardo, C. A., Gouighri, M., Goussiou, A. G., Govender, N., Goy, C., Grabowska-Bold, I., Gramstad, E., Grancagnolo, S., Grandi, M., Gratchev, V., Gravila, P. M., Gravili, F. G., Gray, C., Gray, H. M., Green, B., Grefe, C., Gregor, I. M., Grenier, P., Grevtsov, K., Grieco, C., Grieser, N. A., Grillo, A. A., Grimm, K., Grinstein, S., Grivaz, J. -F., Groh, S., Gross, E., Grosse-Knetter, J., Grout, Z. J., Grud, C., Grummer, A., Grundy, J. C., Guan, L., Guan, W., Gubbels, C., Guenther, J., Rojas, J. G. R. G., Guescini, F., Guest, D., Gugel, R., Guida, A., Guillemin, T., Guindon, S., Guo, J., Guo, Z., Gupta, R., Gurbuz, S., Gustavino, G., Guth, M., Gutierrez, P., Zagazeta, L. F. G., Gutschow, C., Guyot, C., Gwenlan, C., Gwilliam, C. B., Haaland, E. S., Haas, A., Haber, C., Hadavand, H. K., Hadef, A., Haleem, M., Haley, J., Hall, J. J., Halladjian, G., Hallewell, G. D., Hamano, K., Hamdaoui, H., Hamer, M., Hamity, G. N., Han, K., Han, L., Han, S., Han, Y. F., Hanagaki, K., Hance, M., Hank, M. D., Hankache, R., Hansen, E., Hansen, J. B., Hansen, J. D., Hansen, M. C., Hansen, P. H., Hanson, E. C., Hara, K., Harenberg, T., Harkusha, S., Harrison, P. F., Hartman, N. M., Hartmann, N. M., Hasegawa, Y., Hasib, A., Hasley, L. A., Hassani, S., Haug, S., Hauser, R., Havranek, M., Hawkes, C. M., Hawkings, R. J., Hayashida, S., Hayden, D., Hayes, C., Hayes, R. L., Hays, C. P., Hays, J. M., Hayward, H. S., Haywood, S. J., He, F., He, Y., Heath, M. P., Hedberg, V., Heggelund, A. L., Hehir, N. D., Heidegger, C., Heidegger, K. K., Heidorn, W. D., Heilman, J., Heim, S., Heim, T., Heinemann, B., Heinlein, J. G., Heinrich, J. J., Heinrich, L., Hejbal, J., Helary, L., Held, A., Hellesund, S., Helling, C. M., Hellman, S., Helsens, C., Henderson, R. C. W., Henkelmann, L., Correia, A. M. H., Herde, H., Jimenez, Y. H., Herr, H., Herrmann, M. G., Herrmann, T., Herten, G., Hertenberger, R., Hervas, L., Hessey, N. P., Hibi, H., Higashino, S., Higon-Rodriguez, E., Hildebrand, K., Hill, J. C., Hill, K. K., Hiller, K. H., Hillier, S. J., Hils, M., Hinchliffe, I., Hinterkeuser, F., Hirose, M., Hirose, S., Hirschbuehl, D., Hiti, B., Hladik, O., Hobbs, J., Hobincu, R., Hod, N., Hodgkinson, M. C., Hoecker, A., Hohn, D., Hohov, D., Holm, T., Holmes, T. R., Holzbock, M., Hommels, L. B. A. H., Hong, T. M., Honig, J. C., Honle, A., Hooberman, B. H., Hopkins, W. H., Horii, Y., Horn, P., Horyn, L. A., Hou, S., Howarth, J., Hoya, J., Hrabovsky, M., Hrynevich, A., Hryn'Ova, T., Hsu, P. J., Hsu, S. -C., Hu, Q., Hu, S., Hu, Y. F., Huang, D. P., Huang, X., Huang, Y., Hubacek, Z., Hubaut, F., Huebner, M., Huegging, F., Huffman, T. B., Huhtinen, M., Hulsken, R., Hunter, R. F. H., Husejko, M. M., Huseynov, N., Huston, J., Huth, J., Hyneman, R., Hyrych, S., Iacobucci, G., Iakovidis, G., Ibragimov, I., Iconomidou-Fayard, L., Iengo, P., Ignazzi, R., Iguchi, R., Iizawa, T., Ikegami, Y., Ilic, N., Imam, H., Introzzi, G., Iodice, M., Iordanidou, K., Ippolito, V., Isacson, M. F., Ishino, M., Islam, W., Issever, C., Istin, S., Ito, H., Ponce, J. M. I., Iuppa, R., Ivina, A., Izen, J. M., Izzo, V., Jacka, P., Jackson, P., Jacobs, R. M., Jaeger, B. P., Jakel, G., Jakobi, K. B., Jakobs, K., Jakoubek, T., Jamieson, J., Janas, K. W., Jansky, R., Janus, P. A., Jarlskog, G., Jaspan, A. E., Javadov, N., Javurek, T., Javurkova, M., Jeanneau, F., Jeanty, L., Jejelava, J., Jenni, P., Jezequel, S., Jia, J., Jia, Z., Jiang, Y., Jiggins, S., Morales, F. A. J., Pena, J. J., Jin, S., Jinaru, A., Jinnouchi, O., Jivan, H., Johansson, P., Johns, K. A., Johnson, C. A., Jones, E., Jones, R. W. L., Jones, S. D., Jones, T. J., Joos, M., Jovicevic, J., Ju, X., Junggeburth, J. J., Rozas, A. J., Kaczmarska, A., Kado, M., Kagan, H., Kagan, M., Kahn, A., Kahra, C., Kaji, T., Kajomovitz, E., Kalderon, C. W., Kaluza, A., Kamenshchikov, A., Kaneda, M., Kang, N. J., Kang, S., Kano, Y., Kanzaki, J., Kar, D., Karava, K., Kareem, M. J., Karkanias, I., Karpov, S. N., Karpova, Z. 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[0000-0002-1928-1717], Xu, T. [0000-0002-0215-6151], Xu, W. [0000-0001-5661-1917], Xu, Y. [0000-0001-9563-4804], Xu, Z. [0000-0001-9571-3131], Xu, Z. [0000-0001-9602-4901], Yabsley, B. [0000-0002-2680-0474], Yacoob, S. [0000-0001-6977-3456], Yallup, D.P. [0000-0003-4716-5817], Yamaguchi, N. [0000-0002-6885-282X], Yamaguchi, Y. [0000-0002-3725-4800], Yamazaki, T. [0000-0003-0411-3590], Yamazaki, Y. [0000-0003-3710-6995], Yan, Z. [0000-0002-2483-4937], Yang, H.J. [0000-0001-7367-1380], Yang, H.T. [0000-0003-3554-7113], Yang, S. [0000-0002-0204-984X], Yang, T. [0000-0002-4996-1924], Yang, X. [0000-0002-1452-9824], Yang, X. [0000-0002-9201-0972], Yang, Y. [0000-0001-8524-1855], Yang, Z. [0000-0002-7374-2334], Yao, W-M. [0000-0002-3335-1988], Yap, Y.C. [0000-0001-8939-666X], Ye, H. [0000-0002-4886-9851], Ye, J. [0000-0001-9274-707X], Ye, S. [0000-0002-7864-4282], Yeletskikh, I. [0000-0003-0586-7052], Yexley, M.R. [0000-0002-1827-9201], Yin, P. [0000-0003-2174-807X], Yorita, K. [0000-0003-1988-8401], Yoshihara, K. [0000-0002-3656-2326], Young, C.J.S. [0000-0001-5858-6639], Young, C. [0000-0003-3268-3486], Yuan, R. [0000-0002-8452-0315], Yue, X. [0000-0001-6956-3205], Zaazoua, M. [0000-0002-4105-2988], Zabinski, B. [0000-0001-5626-0993], Zacharis, G. [0000-0002-3156-4453], Zaffaroni, E. [0000-0003-1714-9218], Zahreddine, J. [0000-0002-6932-2804], Zaitsev, A.M. [0000-0002-4961-8368], Zakareishvili, T. [0000-0001-7909-4772], Zakharchuk, N. [0000-0002-4963-8836], Zambito, S. [0000-0002-4499-2545], Zanzi, D. [0000-0002-1222-7937], Zeißner, S.V. [0000-0002-9037-2152], Zeitnitz, C. [0000-0003-2280-8636], Zemaityte, G. [0000-0001-6331-3272], Zeng, J.C. [0000-0002-2029-2659], Zenin, O. [0000-0002-5447-1989], Ženiš, T. [0000-0001-8265-6916], Zenz, S. [0000-0002-9720-1794], Zerradi, S. [0000-0001-9101-3226], Zerwas, D. [0000-0002-4198-3029], Zgubič, M. [0000-0002-5110-5959], Zhang, B. [0000-0002-9726-6707], Zhang, D.F. [0000-0001-7335-4983], Zhang, G. [0000-0002-5706-7180], Zhang, J. [0000-0002-9907-838X], Zhang, K. [0000-0002-9778-9209], Zhang, L. [0000-0002-9336-9338], Zhang, L. [0000-0001-5241-6559], Zhang, M. [0000-0001-8659-5727], Zhang, R. [0000-0002-8265-474X], Zhang, X. [0000-0003-4731-0754], Zhang, X. [0000-0003-4341-1603], Zhang, Y. [0000-0002-4554-2554], Zhang, Z. [0000-0002-7853-9079], Zhao, P. [0000-0003-0054-8749], Zhao, Y. [0000-0003-0494-6728], Zhao, Z. [0000-0001-6758-3974], Zhemchugov, A. [0000-0002-3360-4965], Zheng, Z. [0000-0002-8323-7753], Zhong, D. [0000-0001-9377-650X], Zhou, C. [0000-0001-5904-7258], Zhou, H. [0000-0002-7986-9045], Zhou, M. [0000-0001-7223-8403], Zhou, N. [0000-0002-1775-2511], Zhu, C.G. [0000-0001-8015-3901], Zhu, C. [0000-0002-5918-9050], Zhu, H.L. [0000-0001-8479-1345], Zhu, H. [0000-0001-8066-7048], Zhu, J. [0000-0002-5278-2855], Zhu, Y. [0000-0002-7306-1053], Zhuang, X. [0000-0003-0996-3279], Zhukov, K. [0000-0003-2468-9634], Zhulanov, V. [0000-0002-0306-9199], Zieminska, D. [0000-0002-6311-7420], Zimine, N.I. [0000-0003-0277-4870], Zimmermann, S. [0000-0002-1529-8925], Živković, L. [0000-0003-4236-8930], Zoccoli, A. [0000-0002-0993-6185], Zoch, K. [0000-0003-2138-6187], Zorbas, T.G. [0000-0003-2073-4901], Zou, R. [0000-0002-0542-1264], Zwalinski, L. [0000-0002-9397-2313], Apollo - University of Cambridge Repository, Współautorami artykułu są członkowie ATLAS Collaboration w liczbie 2890, Aloisio, Alberto, Alviggi, Mariagrazia, Canale, Vincenzo, Della Pietra, Massimo, Merola, Leonardo, Massarotti, Paolo, Conventi, Francesco, Rossi, Elvira, Carlino, Giampaolo, de Asmundis, Riccardo, Di Donato, Camilla, Doria, Alessandra, Iengo, Paolo, Izzo, Vincenzo, Perrella, Sabrina, Sekhniaidze, Givi, Cirotto, Francesco, Lavorgna, Marco, Giannini, Antonio, and Atlas, Collaboration
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Kjerne- og elementærpartikkelfysikk: 431 [VDP] ,Physics - Instrumentation and Detectors ,Computer science ,data acquisition ,Tracking (particle physics) ,01 natural sciences ,Online farms and online filtering ,High Energy Physics - Experiment ,Subatomär fysik ,High Energy Physics - Experiment (hep-ex) ,Data acquisition ,Software ,cluster finding ,Subatomic Physics ,[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex] ,hardware ,Calibration and fitting methods ,Cluster finding ,Modular electronics ,Pattern recognition ,Trigger concepts and systems (hardware and software) ,Detectors and Experimental Techniques ,Instrumentation ,Mathematical Physics ,FPGA ,Settore FIS/01 ,Large Hadron Collider ,Pattern recognition, cluster finding, calibration and fitting methods ,track data analysis ,Detector ,integrated circuit ,microstrip [semiconductor detector] ,Modular electronic ,Instrumentation and Detectors (physics.ins-det) ,calibration and fitting methods ,ATLAS ,medicine.anatomical_structure ,Nuclear and elementary particle physics: 431 [VDP] ,Pattern recognition (psychology) ,design [electronics] ,semiconductor detector: microstrip ,LHC ,Computer hardware ,performance ,Particle Physics - Experiment ,530 Physics ,FOS: Physical sciences ,LHC, ATLAS, High Energy Physics ,Accelerator Physics and Instrumentation ,programming ,Calibration and fitting method ,semiconductor detector: pixel ,Atlas (anatomy) ,0103 physical sciences ,medicine ,High Energy Physics ,ddc:610 ,[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det] ,010306 general physics ,Field-programmable gate array ,numerical calculations ,pixel [semiconductor detector] ,010308 nuclear & particles physics ,business.industry ,paper ,bibliography ,Acceleratorfysik och instrumentering ,trigger ,LHC, Particle Tracking, High-level Trigger ,Particle Tracking ,efficiency ,High-level Trigger ,data management ,business ,Hadron-hadron collisions ,electronics: design - Abstract
We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerba¼an; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; ANID, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF and MPG, Germany; GSRT, Greece; RGC and Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW and NCN, Poland; FCT, Portugal; MNE/IFA, Romania; JINR; MES of Russia and NRC KI, Russian Federation; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZŠ, Slovenia; DST/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, Compute Canada, CRC and IVADO, Canada; Be¼ing Municipal Science & Technology Commission, China; COST, ERC, ERDF, Horizon 2020 and Marie Skłodowska-Curie Actions, European Union; Investissements d’Avenir Labex, Investissements d’Avenir Idex and ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and GIF, Israel; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO TEO and GenT Programmes Generalitat Valenciana, Spain; Göran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, United Kingdom. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF(Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (U.K.) and BNL (U.S.A.), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in ref. [52]., The ATLAS Fast TracKer (FTK) was designed to provide full tracking for the ATLAS high-level trigger by using pattern recognition based on Associative Memory (AM) chips and fitting in high-speed field programmable gate arrays. The tracks found by the FTK are based on inputs from all modules of the pixel and silicon microstrip trackers. The as-built FTK system and components are described, as is the online software used to control them while running in the ATLAS data acquisition system. Also described is the simulation of the FTK hardware and the optimization of the AM pattern banks. An optimization for long-lived particles with large impact parameter values is included. A test of the FTK system with the data playback facility that allowed the FTK to be commissioned during the shutdown between Run 2 and Run 3 of the LHC is reported. The resulting tracks from part of the FTK system covering a limited η-ϕ region of the detector are compared with the output from the FTK simulation. It is shown that FTK performance is in good agreement with the simulation., ANPCyT, Argentina, YerPhI, Armenia, ARC, Australia, BMWFW and FWF, Austria, ANAS, Azerbaijan, SSTC, Belarus, CNPq and FAPESP, Brazil, NSERC, NRC and CFI, Canada, CERN, ANID, Chile, CAS, MOST and NSFC, China, COLCIENCIAS, Colombia, MSMT CR, MPO CR and VSC CR, Czech Republic, DNRF and DNSRC, Denmark, IN2P3-CNRS and CEA-DRF/IRFU, France, SRNSFG, Georgia, BMBF, HGF and MPG, Germany, GSRT, Greece, RGC and Hong Kong SAR, China, ISF and Benoziyo Center, Israel, INFN, Italy, MEXT and JSPS, Japan, CNRST, Morocco, NWO, Netherlands, RCN, Norway, MNiSW and NCN, Poland, FCT, Portugal, MNE/IFA, Romania, JINR, MES of Russia and NRC KI, Russian Federation, MESTD, Serbia, MSSR, Slovakia, ARRS and MIZŠ, Slovenia, DST/NRF, South Africa, MICINN, Spain, SRC and Wallenberg Foundation, Sweden, SERI, SNSF and Cantons of Bern and Geneva, Switzerland, MOST, Taiwan, TAEK, Turkey, STFC, United Kingdom, DOE and NSF, United States of America, BCKDF, CANARIE, Compute Canada, CRC and IVADO, Canada, Bejiing Municipal Science & Technology Commission, China, COST, ERC, ERDF, Horizon 2020 and Marie Skłodowska-Curie Actions, European Union, Investissements d’Avenir Labex, Investissements d’Avenir Idex and ANR, France, DFG and AvH Foundation, Germany, Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece, BSF-NSF and GIF, Israel, La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Programmes Generalitat Valenciana, Spain, Göran Gustafssons Stiftelse, Sweden, The Royal Society and Leverhulme Trust, United Kingdom
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- 2021
35. SARS‐CoV‐2 infection affects the lower urinary tract and male genital system: A systematic review
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Massimo Ciccozzi, Marco Capece, Armando Calogero, Luigi Napolitano, Francesco Mangiapia, Nicola Longo, Massimiliano Creta, Roberto La Rocca, Gianluigi Califano, Ferdinando Fusco, Evangelista Sagnelli, Antonello Sica, Vincenzo Mirone, Caterina Sagnelli, Giuseppe Celentano, Creta, Massimiliano, Sagnelli, Caterina, Celentano, Giuseppe, Napolitano, Luigi, La Rocca, Roberto, Capece, Marco, Califano, Gianluigi, Calogero, Armando, Sica, Antonello, Mangiapia, Francesco, Ciccozzi, Massimo, Fusco, Ferdinando, Mirone, Vincenzo, Sagnelli, Evangelista, and Longo, Nicola
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Male ,medicine.medical_specialty ,Coronavirus disease 2019 (COVID-19) ,Erythema ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Urinary system ,Coronaviru ,coronavirus ,Genitalia, Male ,SARS‐CoV‐2 ,System a ,03 medical and health sciences ,0302 clinical medicine ,COVID‐19 ,Disease control ,Lower urinary tract symptoms ,Virology ,Internal medicine ,Humans ,Medicine ,Sex organ ,030212 general & internal medicine ,Research Articles ,Urinary tract ,SARS-CoV-2 ,business.industry ,Urinary retention ,COVID-19 ,Genital tract ,medicine.disease ,Infectious Diseases ,030211 gastroenterology & hepatology ,medicine.symptom ,Infection ,business ,Research Article - Abstract
PubMed, Scopus, and ISI Web of Knowledge databases were searched to identify studies published up to December 2020 on the involvement of urinary and male genital systems in COVID-19. Sixteen studies involving a total of 575 patients (538 males and 37 females) were included in this systematic review. The COVID-19 phase was available for 479 patients: 426 in the acute and 53 in the recovery phase. De novo lower urinary tract symptoms (LUTS) were observed in 43 patients and deterioration of preexisting LUTS in 7. Bladder hemorrhage was observed in 3 patients and acute urinary retention in one. Regarding male genital system, scrotal discomfort was observed in 8 patients, swelling in 14, pain in 16, and erythema in one; low flow priapism was observed in 2 patients. Ultrasound examination identified acute orchitis in 10 patients, acute epididymitis in 7, and acute epididymo-orchitis in 16. A case-control study reported that patients with moderate COVID-19 show a significant reduction in sperm concertation, total number of sperms per ejaculate, progressive motility, and complete motility. Contrary to what known from the first studies on the subject, this review also including subsequent studies give evidence of an involvement of lower urinary tract and male genital system in COVID-19. This article is protected by copyright. All rights reserved.
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- 2021
36. Clinical Efficacy of Silodosin in Patients with Severe Lower Urinary Tract Symptoms Related to Benign Prostatic Obstruction: A Pooled Analysis of Phase 3 and 4 Trials
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Nicola Longo, Davide Arcaniolo, Francesco Montorsi, Enrico Finazzi Agrò, Massimiliano Creta, Vincenzo Mirone, Jean Nicolas Cornu, Marco De Sio, Ferdinando Fusco, Vittorio Imperatore, Claus G. Roehrborn, University of Naples Federico II = Università degli studi di Napoli Federico II, Service d'urologie [Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU), Nutrition, inflammation et dysfonctionnement de l'axe intestin-cerveau (ADEN), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institute for Research and Innovation in Biomedicine (IRIB), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), UNIROUEN - UFR Santé (UNIROUEN UFR Santé), Normandie Université (NU)-Normandie Université (NU), University of Texas Southwestern Medical Center [Dallas], Università degli Studi di Roma Tor Vergata [Roma], Histoire, Archéologie et Littératures des mondes chrétiens et musulmans médiévaux (CIHAM), École normale supérieure de Lyon (ENS de Lyon)-Université Lumière - Lyon 2 (UL2)-École des hautes études en sciences sociales (EHESS)-Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université de Lyon-Avignon Université (AU)-Centre National de la Recherche Scientifique (CNRS), IRCCS San Raffaele Scientific Institute [Milan, Italie], Urology Unit, Buon Consiglio Fatebenefratelli Hospital, Naples, Italy, Università degli studi della Campania 'Luigi Vanvitelli' = University of the Study of Campania Luigi Vanvitelli, Creta, Massimiliano, Cornu, Jean-Nicola, Roehrborn, Claus G, Finazzi Agrò, Enrico, Montorsi, Francesco, Longo, Nicola, Imperatore, Vittorio, De Sio, Marco, Arcaniolo, Davide, Mirone, Vincenzo, Fusco, Ferdinando, Università degli studi di Napoli Federico II, Normandie Université (NU)-Normandie Université (NU)-CHU Rouen, University of Rome 'Tor Vergeta', École normale supérieure - Lyon (ENS Lyon)-Université Lumière - Lyon 2 (UL2)-École des hautes études en sciences sociales (EHESS)-Université Jean Moulin - Lyon 3 (UJML), and Università degli studi della Campania 'Luigi Vanvitelli'
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Male ,medicine.medical_specialty ,Indoles ,Urology ,030232 urology & nephrology ,Clinical Trials, Phase IV as Topic ,Placebo ,Benign prostatic obstruction ,lower urinary tract symptoms ,Silodosin ,[SDV.MHEP.UN]Life Sciences [q-bio]/Human health and pathology/Urology and Nephrology ,03 medical and health sciences ,0302 clinical medicine ,Lower Urinary Tract Symptoms ,Quality of life ,Lower urinary tract symptoms ,Prostate ,Post-hoc analysis ,medicine ,Lower urinary tract symptom ,Humans ,In patient ,Adrenergic alpha-Antagonists ,ComputingMilieux_MISCELLANEOUS ,Aged ,business.industry ,Middle Aged ,medicine.disease ,3. Good health ,Settore MED/24 ,Treatment Outcome ,medicine.anatomical_structure ,Clinical Trials, Phase III as Topic ,030220 oncology & carcinogenesis ,Quality of Life ,Urological Agents ,International Prostate Symptom Score ,business ,medicine.drug - Abstract
We performed a post hoc analysis of data from phase 3 and 4 studies to evaluate the efficacy of silodosin 8mg in patients with severe lower urinary tract symptoms (LUTS) related to benign prostatic obstruction (BPO). The presence of two or more of the following criteria was adopted to define severity: total International Prostate Symptom Score (IPSS) 20-35, quality of life (QoL) score 5-6, maximum urinary flow
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- 2021
37. Effects of tocilizumab versus hemoadsorption combined with tocilizumab in patients with SARS-CoV-2 pneumonia: Preliminary results
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Stefania Pintacuda, Giacomo Paluzzano, Ariella Tomasini, Antonino Chillemi, Irene Longo, Alice Scamperle, Edoardo Moro, Roberto Dattola, Giorgio Berlot, Erik Roman-Pognuz, Berlot, G., Pintacuda, S., Moro, E., Paluzzano, G., Scamperle, A., Chillemi, A., Longo, I., Dattola, R., Roman-Pognuz, E., and Tomasini, A.
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Adult ,sepsis mediator ,2019-20 coronavirus outbreak ,Coronavirus disease 2019 (COVID-19) ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Biomedical Engineering ,interleukin 6 ,Medicine (miscellaneous) ,Bioengineering ,hemoadsorption ,SARS-CoV-2 ,sepsis mediators ,septic shock ,tocilizumab ,Antibodies, Monoclonal, Humanized ,Humans ,Retrospective Studies ,COVID-19 ,Antibodies ,Biomaterials ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Tocilizumab ,Retrospective Studie ,Monoclonal ,Medicine ,In patient ,030212 general & internal medicine ,Interleukin 6 ,Humanized ,030304 developmental biology ,0303 health sciences ,biology ,business.industry ,Septic shock ,General Medicine ,medicine.disease ,COVID-19 Drug Treatment ,Pneumonia ,chemistry ,Immunology ,biology.protein ,business ,Human - Abstract
Objective: To assess the variations of Interleukin-6 (IL-6) in patients with SARS-CoV-2 infection treated with Tocilizumab (TCZ) alone or in association with hemoadsorption (HA). Design: Retrospective. Setting: An Intensive Care Unit (ICU) admitting mechanically ventilated patients with SARS-CoV-2 pneumonia. Patients: Four adult patients. Interventions: We compared the blood values of IL-6, C-reactive protein (CRP) and of other biochemical variables including the PaO2/FiO2 in two patients who received TCZ alone and in other 2 in whom it was associated with the HA (TCZ-HA) due to the presence of impending or established organ failures other than the lung. All variables were measured before, during and after the treatment. Main results: In all patients, the IL-6 increased during the treatment; after its termination, its values sharply decreased only in those treated also with HA; conversely, the CRP decreased in all patients; the PaO2/FiO2 increased in three patients and remained stable in the remaining one. Both the TCZ and the HA were well tolerated; all patients were weaned from the mechanical ventilation and discharged from the hospital. Limitations: Although the limited number of patients does not allow to draw firm conclusions, the increase of the IL-6 of can be ascribed to its displacement from cellular and soluble receptors, whereas its decrease is likely due to the scavenging effect exerted by the HA. Although the association TCZ-HA could be valuable in the treatment of the Cytokine Release Storm (CRS) associated with the SARS-CoV-2, the HA could be more effective as it neutralizes a wider panel of inflammatory mediators.
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- 2021
38. The dermoscopic inverse approach significantly improves the accuracy of human readers for lentigo maligna diagnosis
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Caterina Longo, Konstantinos Lallas, Philipp Tschandl, Giuseppe Argenziano, Aimilios Lallas, Harald Kittler, Zoe Apalla, Lallas, A., Lallas, K., Tschandl, P., Kittler, H., Apalla, Z., Longo, C., and Argenziano, G.
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Male ,Skin Neoplasms ,maligna ,diagnosis ,Pigmented actinic keratosis ,Datasets as Topic ,Diagnostic accuracy ,Hutchinson's Melanotic Freckle ,030207 dermatology & venereal diseases ,0302 clinical medicine ,Image Processing, Computer-Assisted ,Early Detection of Cancer ,Skin ,medicine.diagnostic_test ,pigmented actinic keratosi ,artificiai intelligence ,Middle Aged ,artificial intelligence ,Keratosis, Actinic ,diagnosi ,030220 oncology & carcinogenesis ,Female ,lentigo maligna ,Adult ,Seborrheic keratosis ,Solar Lentigo ,medicine.medical_specialty ,inverse approach ,Pattern analysis ,dermatoscopy ,Dermatology ,Lentigo maligna ,Sensitivity and Specificity ,Diagnosis, Differential ,Young Adult ,03 medical and health sciences ,melanoma ,medicine ,Humans ,pigmented actinic keratosis ,Keratosis, Seborrheic ,Aged ,Dermatoscopy ,dermoscopy ,solar lentigo ,business.industry ,Actinic keratoses ,medicine.disease ,Neural Networks, Computer ,business ,Dermatologists - Abstract
Background A recently introduced dermoscopic method for the diagnosis of early lentigo maligna (LM) is based on the absence of prevalent patterns of pigmented actinic keratosis and solar lentigo/flat seborrheic keratosis. We term this the inverse approach. Objective To determine whether training on the inverse approach increases the diagnostic accuracy of readers compared to classic pattern analysis. Methods We used clinical and dermoscopic images of histopathologically diagnosed LMs, pigmented actinic keratoses, and solar lentigo/flat seborrheic keratoses. Participants in a dermoscopy masterclass classified the lesions at baseline and after training on pattern analysis and the inverse approach. We compared their diagnostic performance among the 3 timepoints and to that of a trained convolutional neural network. Results The mean sensitivity for LM without training was 51.5%; after training on pattern analysis, it increased to 56.7%; and after learning the inverse approach, it increased to 83.6%. The mean proportions of correct answers at the 3 timepoints were 62.1%, 65.5, and 78.5%. The percentages of readers outperforming the convolutional neural network were 6.4%, 15.4%, and 53.9%, respectively. Limitations The experimental setting and the inclusion of histopathologically diagnosed lesions only. Conclusions The inverse approach, added to the classic pattern analysis, significantly improves the sensitivity of human readers for early LM diagnosis.
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- 2021
39. A new deep learning approach integrated with clinical data for the dermoscopic differentiation of early melanomas from atypical nevi
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Alessandra Cartocci, Danica Tiodorovic, Marco Gori, Susana Puig, Elvira Moscarella, Jean-Luc Perrot, Francesca Farnetani, Monica Bianchini, Aimilios Lallas, Linda Tognetti, Cristina Carrera, Pietro Rubegni, Alberto Balistreri, Alessandro Mecocci, Giuseppe Argenziano, Caterina Longo, Simone Bonechi, Gennaro Cataldo, Elisa Cinotti, Gabriele Cevenini, Franco Scarselli, Giovanni Pellacani, Paolo Andreini, Tognetti, L., Bonechi, S., Andreini, P., Bianchini, M., Scarselli, F., Cevenini, G., Moscarella, E., Farnetani, F., Longo, C., Lallas, A., Carrera, C., Puig, S., Tiodorovic, D., Perrot, J. L., Pellacani, G., Argenziano, G., Cinotti, E., Cataldo, G., Balistreri, A., Mecocci, A., Gori, M., Rubegni, P., and Cartocci, A.
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Male ,0301 basic medicine ,Skin Neoplasms ,Cutaneous melanoma, Dermoscopy, Deep convolutional neural network, Deep learning, Non-invasive imaging, Integrated diagnosis ,Datasets as Topic ,Biochemistry ,030207 dermatology & venereal diseases ,0302 clinical medicine ,Non-invasive imaging ,Medicine ,Child ,Melanoma ,Skin ,Aged, 80 and over ,Training set ,Middle Aged ,Child, Preschool ,Female ,Deep convolutional neural network ,Skin lesion ,Cutaneous melanoma ,Adult ,Noninvasive imaging ,medicine.medical_specialty ,Adolescent ,Dermoscopy ,Dermatology ,Diagnosis, Differential ,Young Adult ,03 medical and health sciences ,Integrated diagnosis ,Image Interpretation, Computer-Assisted ,Humans ,Nevus ,Molecular Biology ,Aged ,Retrospective Studies ,business.industry ,Deep learning ,Infant, Newborn ,Infant ,Reproducibility of Results ,Medical decision making ,Atypical nevus ,030104 developmental biology ,Artificial intelligence ,business ,Integrated diagnosi - Abstract
Background Timely recognition of malignant melanoma (MM) is challenging for dermatologists worldwide and represents the main determinant for mortality. Dermoscopic examination is influenced by dermatologists’ experience and fails to achieve adequate accuracy and reproducibility in discriminating atypical nevi (AN) from early melanomas (EM). Objective We aimed to develop a Deep Convolutional Neural Network (DCNN) model able to support dermatologists in the classification and management of atypical melanocytic skin lesions (aMSL). Methods A training set (630 images), a validation set (135) and a testing set (214) were derived from the idScore dataset of 979 challenging aMSL cases in which the dermoscopic image is integrated with clinical data (age, sex, body site and diameter) and associated with histological data. A DCNN_aMSL architecture was designed and then trained on both dermoscopic images of aMSL and the clinical/anamnestic data, resulting in the integrated “iDCNN_aMSL” model. Responses of 111 dermatologists with different experience levels on both aMSL classification (intuitive diagnosis) and management decisions (no/long follow-up; short follow-up; excision/preventive excision) were compared with the DCNNs models. Results In the lesion classification study, the iDCNN_aMSL achieved the best accuracy, reaching an AUC = 90.3 %, SE = 86.5 % and SP = 73.6 %, compared to DCNN_aMSL (SE = 89.2 %, SP = 65.7 %) and intuitive diagnosis of dermatologists (SE = 77.0 %; SP = 61.4 %). Conclusions The iDCNN_aMSL proved to be the best support tool for management decisions reducing the ratio of inappropriate excision. The proposed iDCNN_aMSL model can represent a valid support for dermatologists in discriminating AN from EM with high accuracy and for medical decision making by reducing their rates of inappropriate excisions.
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- 2021
40. Blockchain-Based Task Offloading in Drone-Aided Mobile Edge Computing
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Hang Li, Graham Morgan, Zhenyu Wen, Shuyun Luo, Omer Rana, Bin Qian, Rajiv Ranjan, Antonella Longo, Luo, Shuyun, Wen, Zhenyu, Qian, Bin, Li, Hang, Morgan, Graham, Longo, Antonella, Rana, Omer, and Ranjan, Rajiv
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QA75 ,Mobile edge computing ,Computer Networks and Communications ,business.industry ,computer.internet_protocol ,Computer science ,020206 networking & telecommunications ,Cloud computing ,02 engineering and technology ,Service-oriented architecture ,Service provider ,QA76 ,Mobile Edge Computing, Drone, Blockchain, Task Offloading ,Audit trail ,Hardware and Architecture ,Server ,0202 electrical engineering, electronic engineering, information engineering ,Cache ,business ,computer ,Software ,Edge computing ,Information Systems ,Computer network - Abstract
An increasing number of cloud providers now offer mobile edge computing (MEC) services for their customers to support task offloading. This is undertaken to reduce latency associated with forwarding data from IoT devices owned by customers to cloud platforms. However, two challenges remain in existing MEC scenarios: (i) the coverage of MEC services is limited; (ii) there is limited ability to develop an audit trail about which MEC service providers have processed a user's data. A new architecture for automatically offloading user tasks in MEC scenarios is proposed that addresses the two challenges above. The architecture makes use of drones to dynamically cache data generated from IoT devices and forward this data to MEC servers that participate in a private blockchain network. Our simulated experiments demonstrate the flexibility of the task offloading process through the proposed architecture, which can provide greater visibility of MEC service providers involved in processing users' data.
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- 2021
41. Imaging and Clinical Features of Neurocutaneous Melanosis in the Pediatric Population
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Granata Francesca, Visalli Carmela, Mormina Enricomaria, Caragliano Antonio Armando, Coglitore Alessandra, Vinci Sergio Lucio, Longo Marcello, and Tessitore Agostino
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Pathology ,medicine.medical_specialty ,multiple congenital melanocytic nevi ,Central nervous system ,Neuroimaging ,Melanosis ,children ,Phakomatosis ,Spinal cord compression ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Child ,Intracranial pressure ,non-melanotic neoplasms ,meningeal melanomatosis ,phakomatosis ,business.industry ,Neurocutaneous Syndromes ,Leptomeninges ,medicine.disease ,Magnetic Resonance Imaging ,cutaneous neuro-melanosis ,neurocutaneous melanosis ,pediatric ,Neurocutaneous melanosis ,medicine.anatomical_structure ,business - Abstract
Background: Neurocutaneous Melanosis (NCM) is a rare nonfamilial phakomatosis characterized by the presence of congenital melanocytic nevi and abnormal melanocyte infiltration of the leptomeninges. Objective & Methods: This paper shows the importance of early diagnosis and the most important imaging features of the disease on CT and MR scans. PubMed database was searched from January 1972 to September 2020. Papers including imaging findings of NCM, clinical, follow-up, and treatment features were collected, selecting only 89 studies. Discussion: NCM is a term used for the first time by van Bogaert in 1948. It refers to a condition caused by an error during morphogenesis and migration leading to leptomeningeal melanocytic accumulation. Although histological findings are the gold standard for diagnosis confirmation, neuroimaging and clinical features strongly support the suspect of NCM. Localization and extension of the lesions are predictive of neurological manifestations related to increased intracranial pressure, mass lesions, or spinal cord compression. CT demonstrates sites of increased density in the anterior temporal lobe, mainly the amygdala, thalami, cerebellum, and frontal lobes base. However, MRI is the best imaging method to diagnose central nervous system lesions, often appearing as T1-short signal areas of the cerebral parenchyma, indicative of central nervous system melanosis. MRI can also reveal associated intracranial and intraspinal abnormalities. Conclusion: Early imaging, when available, is helpful if NCM suspect is raised and may be of guidance in comparing later studies. NCM requires a multidisciplinary approach since it is a multisystem disease with a genetic component.
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- 2021
42. Clinical Approach to Mast Cell Activation Syndrome: A Practical Overview
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Cristobalina Mayorga, María M. Escribese, Victor Matheu, Marina Perez-Gordo, A Matito, M E Seoane-Reula, Mariona Pascal, O Luengo-Sánchez, Moises Labrador-Horrillo, and N Longo
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Mast Cell Activation Syndrome ,Immunology ,Tryptase ,Mast cell activation syndrome ,Signs and symptoms ,03 medical and health sciences ,0302 clinical medicine ,0502 economics and business ,medicine ,Humans ,Immunology and Allergy ,Mast Cells ,Anaphylaxis ,biology ,business.industry ,Mast cell activation ,05 social sciences ,medicine.disease ,Mast cell ,Highly sensitive ,medicine.anatomical_structure ,030228 respiratory system ,biology.protein ,Tryptases ,050211 marketing ,Bone marrow ,Neoplasm Recurrence, Local ,medicine.symptom ,business ,Mastocytosis - Abstract
The diagnosis of mast cell activation syndrome (MCAS) is defined by 3 criteria: (1) typical clinical signs and symptoms of acute, recurrent (episodic), and systemic mast cell activation (MCA); (2) increase in tryptase level to >20% + 2 ng/mL within 1-4 hours after onset of the acute crisis; and (3) response of MCA symptoms to antimediator therapy. Classification of MCAS requires highly sensitive and specific methodological approaches for the assessment of clonal bone marrow mast cells at low frequencies. The Spanish Network on Mastocytosis score has been used successfully as a predictive model for selecting MCAS candidates for bone marrow studies based on a high probability of an underlying clonal mast cell disorder. In this article, we propose a diagnostic algorithm and focus on the practical evaluation and management of patients with suspected MCAS. Key words: Anaphylaxis. Antimediator therapy. Mast cell activation syndrome. Mast cell mediator release–related symptoms. Tryptase.
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- 2021
43. Wearable Device Based on a Flexible Conductive Textile for Knee Joint Movements Monitoring
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Sandra Miccinilli, Emiliano Schena, Arianna Carnevale, Carlo Massaroni, Federica Bressi, Umile Giuseppe Longo, Vincenzo Denaro, Silvia Sterzi, Joshua Di Tocco, Marco Bravi, and Daniela Lo Presti
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musculoskeletal diseases ,Computer science ,business.industry ,Process (engineering) ,Wearable computer ,Usability ,Knee Joint ,Motion capture ,Conductive textile ,Electrical and Electronic Engineering ,business ,Instrumentation ,Reliability (statistics) ,Wearable technology ,Simulation - Abstract
Wearable devices for physiological parameters monitoring are gaining broad acceptance due to their ease of use, comfortability, and reliability. Among all human joints, the knee joint is the most involved in day-to-day activities. Monitoring the knee joint movements may allow outlining an optimized and patient-specific rehabilitation process and may perform a quantitative assessment of the improvements made. In this work, we propose a washable and reusable wearable system based on a conductive textile for knee flexion-extension monitoring. We performed a biomechanical analysis to guide the design of the sensing element, to perform its metrological characterization, and to optimize its integration into a wearable knee guard. We tested the developed system on 5 healthy volunteers performing 3 different rehabilitation exercises in terms of number of flexion-extension performed and of the knee angle. This assessment was performed using a motion capture system as a reference. The results are promising and in good agreement with the reference system and enable the system to be suitable for its application in rehabilitation and day-to-day monitoring.
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- 2021
44. Substantial Reduction in Adjuvant Chemotherapy With the Use of the 21-Gene Test to Manage Early Breast Cancer in a Public Hospital in Brazil
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André Mattar, Murilo Barato Agudo Romão, Luiz Henrique Gebrim, Guilherme Ribeiro Fonseca, Debbie M Jakubowski, Maria C S Bastos, Maria Antonieta Longo Galvão Silva, Monica Maria Agata Stiepcich, Sergio C Oliveira, Fabio Bagnoli, José Francisco Rinaldi, Jorge Yoshinori Shida, Calvin Chao, and Vilmar Marques de Oliveira
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Cancer Research ,medicine.medical_specialty ,Adjuvant chemotherapy ,MEDLINE ,Breast Neoplasms ,03 medical and health sciences ,0302 clinical medicine ,Breast cancer ,Internal medicine ,Breast Cancer ,medicine ,Humans ,030212 general & internal medicine ,Early breast cancer ,Hospitals, Public ,business.industry ,ORIGINAL REPORTS ,Middle Aged ,medicine.disease ,Public health care ,Test (assessment) ,Receptors, Estrogen ,Oncology ,Chemotherapy, Adjuvant ,030220 oncology & carcinogenesis ,Public hospital ,Female ,Treatment decision making ,Neoplasm Recurrence, Local ,business ,Brazil - Abstract
PURPOSE We evaluated the impact of 21-gene test results on treatment decisions for patients with early-stage breast cancer treated under the public health care system in Brazil, Sistema Único de Saúde. METHODS Eligible patients treated at Hospital Pérola Byington and Santa Casa de Misericórdia de São Paulo in Brazil were required to have the following characteristics: postsurgery with hormone receptor–positive, human epidermal growth factor 2–negative, node-negative and node-positive, and T1/T2 breast cancer and patients with these characteristics were candidates for adjuvant systemic therapy. Treatment recommendations, chemotherapy plus hormonal therapy (CT + HT) or HT alone, were captured before and after 21-gene test results. RESULTS From August 2018 to April 2019, 179 women were enrolled. The mean age was 58 years (29-86 years), 135 (76%) were postmenopausal, and 58 (32%) had node-positive breast cancer. Most patients (61%) had a tumor > 2 cm, including 7% with tumors > 4 cm. Using Recurrence Score (RS) result cut points on the basis of the TAILORx trial, 40 (22%) had RS 0-10, 91 (51%) had RS 11-25, and 48 (27%) had RS 26-100. Before 21-gene testing, 162 of 179 (91%) patients were recommended for CT. After testing, 117 of 179 patients (65%) had changes in CT recommendation: 112 (63%) who were initially recommended CT received HT alone and five (3%) who were initially recommended HT alone received CT + HT. After 21-gene testing, 99% of physicians reported strong confidence in their treatment recommendations. CONCLUSION The change in clinical practice at these public hospitals was greater than expected: 66% of initial treatment recommendations were changed to omit CT with 21-gene test results. Clinicopathologic features did not correlate well with 21-gene test results and did not adequately identify those most likely to benefit from CT.
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- 2021
45. Value of HbA1c in Obese Women with Gestational Diabetes
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Jeff M. Szychowski, Ashley N. Battarbee, Lorie M. Harper, Ayamo Oben, Sherri Longo, Victoria C. Jauk, and Alan T.N. Tita
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medicine.medical_specialty ,endocrine system diseases ,Infant, Newborn, Diseases ,law.invention ,Shoulder dystocia ,Randomized controlled trial ,Pregnancy ,law ,medicine ,Humans ,Obesity ,Glycated Hemoglobin ,Obstetrics ,business.industry ,Incidence (epidemiology) ,Neonatal hypoglycemia ,Infant, Newborn ,Pregnancy Outcome ,nutritional and metabolic diseases ,Obstetrics and Gynecology ,medicine.disease ,Confidence interval ,Gestational diabetes ,Diabetes, Gestational ,Relative risk ,Pediatrics, Perinatology and Child Health ,Premature Birth ,Female ,business - Abstract
Objective We sought to assess the association of hemoglobin A1c (HbA1c) with adverse perinatal outcomes in obese women with gestational diabetes mellitus (GDM). Study design This was a secondary analysis of a multicenter randomized controlled trial assessing early (14-20 weeks) versus routine (24-28 weeks) screening for GDM in obese women. Women were included if they were diagnosed with GDM at either time during pregnancy and had a HbA1c result available. The primary exposure was HbA1c at 24 to 28 weeks. The primary outcome was a composite of macrosomia, primary cesarean, pregnancy-induced hypertension, shoulder dystocia, neonatal hypoglycemia, or hyperbilirubinemia. Receiver operating characteristics (ROC) curves were used to assess the association of HbA1c with the composite outcome. The Liu method was used to select an optimal HbA1c cutoff, and the incidence of the outcome compared. Results Of 125 women with GDM, 93 (74%) had a HbA1c at 24 to 28 weeks and 103 (82.4%) had a HbA1c at 14 to 20 weeks. Baseline characteristics were balanced between groups above and below the cutoff. The area under the ROC curve for HbA1c and its association with the adverse perinatal composite outcome was 0.6 (95% confidence interval [CI]: 0.5-0.7). The frequency of the primary outcome was similar among women with low and high HbA1c at 24 to 28 weeks (adjusted relative risk, 1.12, 95% CI: 0.97-1.29). Compared with women with a decreasing HbA1c during pregnancy, women with a stable or increasing HbA1c did not have a significant increase in the primary adverse perinatal composite outcome. However, the frequency of preterm delivery was higher among women with stable or increasing HbA1c compared with those with a decreasing HbA1c (26.1 vs. 6.7%, p = 0.03). Conclusion A single HbA1c in women with GDM is not associated with a composite perinatal adverse outcome, but a HbA1c that increases or remains stable between 14 to 20 and 24 to 28 weeks is associated with an increase in preterm delivery. Key points · A single HbA1c in GDM is not associated with a composite perinatal adverse outcome.. · HbA1c that increases or remains stable may be associated with an increase in preterm delivery.. · HbA1c at 24 to 28 weeks was not significantly associated with the adverse perinatal composite outcome..
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- 2021
46. Gingival pigmentation: Concurrent assessment of distribution, intensity, and extent in a black population
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Cléverson O. Silva, Bruna C Longo, Talita T C Rocha, Gabriela Cristina Santin, and Dimitris N. Tatakis
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Melanins ,education.field_of_study ,Pigmentation ,business.industry ,Population ,Gingiva ,Dentistry ,Biology ,Intensity (physics) ,Gingival pigmentation ,Cross-Sectional Studies ,Gingival Diseases ,Chi-square test ,Humans ,Clinical significance ,Maxillary central incisor ,sense organs ,Analysis of variance ,education ,business ,General Dentistry ,Gingival margin - Abstract
Objective To evaluate prevalence, distribution, intensity and extent of physiologic gingival melanin pigmentation (GMP) in black individuals. Materials and methods For this cross-sectional study, GMP was evaluated on digital images by three calibrated examiners, according to de Krom (distribution), DOPI (intensity) and Melanin Index (extent) classifications. Descriptive statistics, Wilcoxon, Mann-Whitney, Kruskal-Wallis, Two-way ANOVA, chi square, and K-means cluster analysis were used. Results Seventy participants were recruited. The most prevalent GMP categories were: de Krom category 2 (34.3%), DOPI heavy intensity (57.2%), and Melanin index Degree IV (50%). Significant inter-group differences were found for age (p 0.05). Significant correspondence/overlap was observed between classifications (p > 0.05). Three GMP clusters were identified: Cluster 1 (27%; n = 19) had mild asymmetric and interspersed pigmentation; Cluster 2 (46%; n = 32) had heavy pigmentation in one long continuous ribbon, with pink marginal gingiva; and Cluster 3 (27%; n = 19) had heavy pigmentation in one long continuous ribbon, symmetric, and uniform. Conclusions There may be overlap among GMP classification systems. In black individuals, the predominant GMP presentation is one of a broad zone of heavily pigmented attached gingiva, in a continuous strip from central incisors to canines, symmetrical across the midline, and with pink free marginal gingiva. Clinical relevance This is the first study to analyze distribution, intensity, and extent of gingival melanin pigmentation in the same population and to integrate the various classification systems through cluster analysis. The novel findings provide a foundation for patient assessment and counseling and for future studies.
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- 2021
47. Pediatric eye emergency department activity during the first wave of Covid-19 pandemic
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Elia Franzolin, Elena Gusson, Rosa Longo, Giorgio Marchini, and Benjamim Ficial
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Male ,2019-20 coronavirus outbreak ,medicine.medical_specialty ,Eye Diseases ,Coronavirus disease 2019 (COVID-19) ,Pediatrics ,RJ1-570 ,Pandemic ,Eye emergency department ,Humans ,Medicine ,Child ,Ophthalmic emergencies ,Retrospective Studies ,Discharge diagnosis ,business.industry ,Research ,Age Factors ,Infant, Newborn ,Infant ,COVID-19 ,Retrospective cohort study ,General Medicine ,Emergency department ,Overcrowding ,Child, Preschool ,Pediatric emergencies ,Communicable Disease Control ,Emergency medicine ,Etiology ,Female ,Emergencies ,Emergency Service, Hospital ,business ,Facilities and Services Utilization - Abstract
BackgroundWe investigated the volume and the characteristics of pediatric eye emergency department (PEED) consultations performed at our tertiary eye center during the early months of the COVID-19 pandemic and we compared them to those carried out in the same time interval of the previous three years.MethodsOphthalmic emergency examinations of patients aged ≤18 years old and done during the national COVID-19 lockdown (March 9th, 2020 – May 3rd, 2020) and in the corresponding date range of the previous three years (2017, 2018, and 2019) have been considered and reviewed. The following features were retrieved and analyzed: age, gender, duration and type of accused symptoms, traumatic etiology, and the discharge diagnosis.Results136, 133, and 154 PEED visits have been performed respectively in 2017, 2018, and 2019, while 29 patients presented in 2020. Therefore, the volume of PEED activity decreased by 79.4% (p p = 0.024).ConclusionsPEED activity decreased consistently after the onset of the pandemic and it was mainly attended by those children whose conditions required prompt assistance, reducing the number of patients diagnosed with milder pathologies. At the end of the emergency, better use of PEED could avoid overcrowding and minimize waste, allowing resource optimization for the management of urgent cases.
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- 2021
48. Fibrodysplasia Ossificans Progressiva: What Have We Achieved and Where Are We Now?
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Ruben D. de Ruiter, Bernard J. Smilde, Gerard Pals, Nathalie Bravenboer, Petra Knaus, Ton Schoenmaker, Esmée Botman, Gonzalo Sánchez-Duffhues, Maurizio Pacifici, Robert J. Pignolo, Eileen M. Shore, Marjolein van Egmond, Hans Van Oosterwyck, Frederick S. Kaplan, Edward C. Hsiao, Paul B. Yu, Renata Bocciardi, Carmen Laura De Cunto, Patricia Longo Ribeiro Delai, Teun J. de Vries, Susanne Hilderbrandt, Richard T. Jaspers, Richard Keen, Peter Koolwijk, Rolf Morhart, Jan C. Netelenbos, Thomas Rustemeyer, Christiaan Scott, Clemens Stockklausner, Peter ten Dijke, James Triffit, Francesc Ventura, Roberto Ravazzolo, Dimitra Micha, Elisabeth M. W. Eekhoff, Internal medicine, Amsterdam Movement Sciences, Human genetics, Laboratory Medicine, AMS - Ageing & Vitality, AMS - Tissue Function & Regeneration, Amsterdam Gastroenterology Endocrinology Metabolism, Surgery, Physiology, Dermatology, AMS - Rehabilitation & Development, AMS - Musculoskeletal Health, ACS - Microcirculation, ACS - Atherosclerosis & ischemic syndromes, and Periodontology
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OSTEOGENIC DIFFERENTIATION ,Endocrinology, Diabetes and Metabolism ,Early death ,Disease ,Ossification ,Bioinformatics ,angiogenesis ,disease models ,fibrodysplasia ossificans progessiva (FOP) ,inflammation ,therapy ,trials ,Endocrinology ,FOP ,MUTATION ,Ossificació ,Muscles ,Inflamació ,Mutation (genetic algorithm) ,Perspective ,BONE ,Life Sciences & Biomedicine ,STEM-CELLS ,Research groups ,INHIBITION ,History, 21st Century ,Diseases of the endocrine glands. Clinical endocrinology ,Endocrinology & Metabolism ,I RECEPTOR ,SDG 3 - Good Health and Well-being ,medicine ,Humans ,Expert Testimony ,HETEROTOPIC OSSIFICATION ,Inflammation ,Science & Technology ,Myositis ,business.industry ,Ossification, Heterotopic ,Músculs ,Congresses as Topic ,medicine.disease ,RC648-665 ,MODEL ,PROGENITOR CELLS ,Myositis Ossificans ,Fibrodysplasia ossificans progressiva ,Mutation ,Miositis ,business - Abstract
Fibrodysplasia ossificans progressiva (FOP) is an ultra-rare progressive genetic disease effecting one in a million individuals. During their life, patients with FOP progressively develop bone in the soft tissues resulting in increasing immobility and early death. A mutation in the ACVR1 gene was identified as the causative mutation of FOP in 2006. After this, the pathophysiology of FOP has been further elucidated through the efforts of research groups worldwide. In 2015, a workshop was held to gather these groups and discuss the new challenges in FOP research. Here we present an overview and update on these topics. ispartof: FRONTIERS IN ENDOCRINOLOGY vol:12 ispartof: location:Switzerland status: published
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- 2021
49. Diet composition influences the metabolic benefits of short cycles of very low caloric intake
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Farzin Eshaghi, Sebastian Brandhorst, Tyler Rhinesmith, Jacqueline M. Moats, Laura C. D. Pomatto-Watson, Alberto Diaz-Ruiz, Julie A. Mattison, Miguel A. Aon, Nathan L. Price, Annamaria L Rudderow, Melissa Carpenter, Valter D. Longo, Margaux R. Ehrlich, Rafael de Cabo, and Michel Bernier
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Male ,Calorie ,Science ,General Physics and Astronomy ,Physiology ,Male mice ,Article ,General Biochemistry, Genetics and Molecular Biology ,Mice ,medicine ,Animals ,Obesity ,Caloric Restriction ,Multidisciplinary ,business.industry ,Diet composition ,General Chemistry ,medicine.disease ,Caloric intake ,Ageing ,Metabolism ,Physical performance ,Lean body mass ,Energy Intake ,business - Abstract
Diet composition, calories, and fasting times contribute to the maintenance of health. However, the impact of very low-calorie intake (VLCI) achieved with either standard laboratory chow (SD) or a plant-based fasting mimicking diet (FMD) is not fully understood. Here, using middle-aged male mice we show that 5 months of short 4:10 VLCI cycles lead to decreases in both fat and lean mass, accompanied by improved physical performance and glucoregulation, and greater metabolic flexibility independent of diet composition. A long-lasting metabolomic reprograming in serum and liver is observed in mice on VLCI cycles with SD, but not FMD. Further, when challenged with an obesogenic diet, cycles of VLCI do not prevent diet-induced obesity nor do they elicit a long-lasting metabolic memory, despite achieving modest metabolic flexibility. Our results highlight the importance of diet composition in mediating the metabolic benefits of short cycles of VLCI., Understanding the contribution of diet composition, calories and length of fasting in health maintenance is still challenging. Here the authors compare the effects of cycles of intermittent very low calorie intake achieved with a plant-based fasting mimicking diet or standard laboratory chow to provide insights into the role played by diet composition in mediating the metabolic benefits of short cycles of very low-calorie intake in mice.
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- 2021
50. Clinical and biological profiles of older adults aged 50 and over compared to those under 50 in people living with HIV attending Kinshasa University Teaching Hospital (DR Congo)
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BM Ekila, GL Mvumbi, Aliocha Nkodila, GL Mananga, DN Tshilumba, MN Mandina, T Pindi, Mmk Mbula, MM Mbula, MM Longokolo, Jrr Makulo, Bbt Buasa, NN Mayasi, EN Amaela, O Odio, B Longo-Mbenza, B Bepouka, and Hnt Situakibanza
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medicine.medical_specialty ,business.industry ,Family medicine ,Human immunodeficiency virus (HIV) ,medicine ,University teaching ,medicine.disease_cause ,business - Abstract
Background: The survival of people living with HIV (PLWHIVs) is increased and Health systems will have to deal with the early-aging-associated medical conditions. Objective: The objective of this study is to compare the clinical and biological profiles of PLWHIVs aged 50 and over and those aged less than 50 years. Material and methods: This study conducted at Kinshasa University Teaching Hospital (KUTH) covers 6 years. The clinical and biological characteristics of PLWHIVs aged 50 and over were compared with those under 50. Statistical analysis used the means ± SD, the calculation of frequencies, Student’s t-test and Chi-square. Results: PLWHIVs aged 50 or over represented 35.1%. Their average age was 58.0 ± 4.8 years. Women predominate among those under 50 and men among those 50 and over. Married people were more numerous (54% among those under 50). There were more unemployed (50% of PLHIV under 50). Patients 50 years and older were significantly classified as WHO stage 4 with a high frequency of history of tuberculosis, genital herpes, high blood pressure, smoking, vomiting, hepatomegaly, moderate elevation of diastolic blood pressure (DBP) and sytolic blood pressure (SBP), tuberculosis and anemia. Those under 50 had a significantly increased frequency of shingles, hepatitis B-hepatitis C, headaches and more survivals. The mean of Hb, HDL-C, and CD4s+ were significantly lower in patients 50 years and older, and urea, LDL-C, and ALAT levels were significantly higher. Conclusion: The average age was higher from 50 years old. These PLWHIVs were more frequently in WHO stage 4 with more common TB and anemia. Their Hb, HDL-C, and CD4s+ levels were lower while their urea, LDL-C and ALAT levels were significantly elevated.
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- 2021
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