319 results on '"Di Francesco A"'
Search Results
2. Indications and results of right-lobe living donor liver transplantation
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Vella, Ivan, primary, di Francesco, Fabrizio, additional, Accardo, Caterina, additional, Boggi, Ugo, additional, and Gruttadauria, Salvatore, additional
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- 2024
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3. Macdonald Duality and the proof of the Quantum Q-system conjecture
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Di Francesco, Philippe, primary and Kedem, Rinat, additional
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- 2024
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4. Efficacy of acupuncture and laser acupuncture in temporomandibular disorders: a systematic review and meta-analysis of randomized controlled trials
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Di Francesco, Fabrizio, primary, Minervini, Giuseppe, additional, Siurkel, Yuliia, additional, Cicciù, Marco, additional, and Lanza, Alessandro, additional
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- 2024
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5. Cadophora luteo-olivacea on apple and kiwifruit: characterization of selected strains and evaluation of fungicides for their control
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Tomada, S., primary, Staffler, E., additional, Dionis, G., additional, Baric, S., additional, and Di Francesco, A., additional
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- 2024
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6. Short food supply chain management with matrices of sets: a new mathematical framework to visualise preferences of consumers’ products basket
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Charhbili, Mohamed, primary, El Yaagoubi, Amina, additional, Di Francesco, Renaud, additional, and Boukachour, Jaouad, additional
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- 2023
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7. Tribological behavior of shape-specific microplate-enriched synovial fluids on a linear two-axis tribometer
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Fragassi, Agnese, primary, Greco, Antonietta, additional, Di Francesco, Martina, additional, Ceseracciu, Luca, additional, Abu Ammar, Aiman, additional, Dvir, Israel, additional, Moore, Thomas Lee, additional, Kasem, Haytam, additional, and Decuzzi, Paolo, additional
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- 2023
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8. Hypoalbuminemia increases complications in elderly patients operated for hip fracture
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Luigi Residori, Oscar Bortolami, and Vincenzo Di Francesco
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Aging ,Geriatrics and Gerontology - Published
- 2023
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9. Complex I inhibitor of oxidative phosphorylation in advanced solid tumors and acute myeloid leukemia: phase I trials
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Timothy A. Yap, Naval Daver, Mikhila Mahendra, Jixiang Zhang, Carlos Kamiya-Matsuoka, Funda Meric-Bernstam, Hagop M. Kantarjian, Farhad Ravandi, Meghan E. Collins, Maria Emilia Di Francesco, Ecaterina E. Dumbrava, Siqing Fu, Sisi Gao, Jason P. Gay, Sonal Gera, Jing Han, David S. Hong, Elias J. Jabbour, Zhenlin Ju, Daniel D. Karp, Alessia Lodi, Jennifer R. Molina, Natalia Baran, Aung Naing, Maro Ohanian, Shubham Pant, Naveen Pemmaraju, Prithviraj Bose, Sarina A. Piha-Paul, Jordi Rodon, Carolina Salguero, Koji Sasaki, Anand K. Singh, Vivek Subbiah, Apostolia M. Tsimberidou, Quanyun A. Xu, Musa Yilmaz, Qi Zhang, Yuan Li, Christopher A. Bristow, Meenakshi B. Bhattacharjee, Stefano Tiziani, Timothy P. Heffernan, Christopher P. Vellano, Philip Jones, Cobi J. Heijnen, Annemieke Kavelaars, Joseph R. Marszalek, and Marina Konopleva
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General Medicine ,General Biochemistry, Genetics and Molecular Biology - Published
- 2023
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10. Integrated flood studies in Sicily: a hydro-geomorphological approach
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Di Francesco, Silvia, primary and Carlino, Martina, additional
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- 2023
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11. Machine learning instructed microfluidic synthesis of curcumin-loaded liposomes
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Di Francesco, Valentina, primary, Boso, Daniela P., additional, Moore, Thomas L., additional, Schrefler, Bernhard A., additional, and Decuzzi, Paolo, additional
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- 2023
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12. Biosensing systems for the detection and quantification of methane gas
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Poma, Noemi, primary, Bonini, Andrea, additional, Vivaldi, Federico, additional, Biagini, Denise, additional, Di Luca, Mariagrazia, additional, Bottai, Daria, additional, Di Francesco, Fabio, additional, and Tavanti, Arianna, additional
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- 2023
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13. Antimicrobial resistance genes in a golden jackal (Canis aureus L. 1758) from Central Italy
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Di Francesco, A., primary, Salvatore, D., additional, Gobbi, M., additional, and Morandi, B., additional
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- 2023
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14. How to handle negative interest rates in a CIR framework
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Kevin Kamm, Marco Di Francesco, Di Francesco M., and Kamm K.
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Control and Optimization ,media_common.quotation_subject ,FOS: Economics and business ,CIR model, Negative interest rates, Calibration, Forecasting and simulation, Riccati Equations ,Consistency (statistics) ,0502 economics and business ,Econometrics ,Market price ,Sannolikhetsteori och statistik ,Probability Theory and Statistics ,050205 econometrics ,media_common ,Mathematics ,Numerical Analysis ,Quantitative Finance - Trading and Market Microstructure ,050208 finance ,Applied Mathematics ,05 social sciences ,Variance (accounting) ,Trading and Market Microstructure (q-fin.TR) ,Interest rate ,Term (time) ,Cox–Ingersoll–Ross model ,Skewness ,Modeling and Simulation ,Yield curve - Abstract
In this paper, we propose a new model to address the problem of negative interest rates that preserves the analytical tractability of the original Cox–Ingersoll–Ross (CIR) model without introducing a shift to the market interest rates, because it is defined as the difference of two independent CIR processes. The strength of our model lies within the fact that it is very simple and can be calibrated to the market zero yield curve using an analytical formula. We run several numerical experiments at two different dates, once with a partially sub-zero interest rate and once with a fully negative interest rate. In both cases, we obtain good results in the sense that the model reproduces the market term structures very well. We then simulate the model using the Euler–Maruyama scheme and examine the mean, variance and distribution of the model. The latter agrees with the skewness and fat tail seen in the original CIR model. In addition, we compare the model’s zero coupon prices with market prices at different future points in time. Finally, we test the market consistency of the model by evaluating swaptions with different tenors and maturities.
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- 2021
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15. Safety and activity of the first-in-class locked nucleic acid (LNA) miR-221 selective inhibitor in refractory advanced cancer patients: a first-in-human, phase 1, open-label, dose-escalation study
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Tassone, Pierfrancesco, primary, Di Martino, Maria Teresa, additional, Arbitrio, Mariamena, additional, Fiorillo, Lucia, additional, Staropoli, Nicoletta, additional, Ciliberto, Domenico, additional, Cordua, Alessia, additional, Scionti, Francesca, additional, Bertucci, Bernardo, additional, Salvino, Angela, additional, Lopreiato, Mariangela, additional, Thunarf, Fredrik, additional, Cuomo, Onofrio, additional, Zito, Maria Cristina, additional, De Fina, Maria Rosanna, additional, Brescia, Amelia, additional, Gualtieri, Simona, additional, Riillo, Caterina, additional, Manti, Francesco, additional, Caracciolo, Daniele, additional, Barbieri, Vito, additional, Di Paola, Eugenio Donato, additional, Di Francesco, Adele Emanuela, additional, and Tagliaferri, Pierosandro, additional
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- 2023
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16. Molecular characterization of Aureobasidium spp. strains isolated during the cold season. A preliminary efficacy evaluation as novel potential biocontrol agents against postharvest pathogens
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Cignola, R., primary, Boato, A., additional, Sadallah, A., additional, Firrao, G., additional, and Di Francesco, A., additional
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- 2023
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17. Second Order Two-Species Systems with Nonlocal Interactions: Existence and Large Damping Limits
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Di Francesco, Marco, primary, Fagioli, Simone, additional, and Iorio, Valeria, additional
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- 2023
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18. Preliminary results on Cadophora luteo-olivacea pathogenicity aspects on kiwifruit
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Di Francesco, A., Di Foggia, M., Baldo, D., Ratti, C., and Baraldi, E.
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Skin pitting . Kiwifruit . Cadophora . SEM . Storage . Ripening ,Plant Science ,Horticulture ,Agronomy and Crop Science - Published
- 2022
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19. Meta-proteomic analysis of two mammoth’s trunks by EVA technology and high-resolution mass spectrometry for an indirect picture of their habitat and the characterization of the collagen type I, alpha-1 and alpha-2 sequence
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Annamaria Cucina, Antonella Di Francesco, Rosaria Saletti, Maria Gaetana Giovanna Pittalà, Gleb Zilberstein, Svetlana Zilberstein, Alexei Tikhonov, Andrey G. Bublichenko, Pier Giorgio Righetti, Salvatore Foti, and Vincenzo Cunsolo
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Proteomics ,Technology ,Meta-paleoproteomics, Shotgun proteomics, Mammoth, Collagen type I, alpha-1 and alpha-2 sequence, Orbitrap fusion tribrid high-resolution mass spectrometer, Chemical modifcations , Deamidation ,Fossils ,Meta-paleoproteomics ,Organic Chemistry ,Clinical Biochemistry ,Infant, Newborn ,Orbitrap fusion tribrid high-resolution mass spectrometer ,alpha-1 and alpha-2 sequence ,Mammoth ,Biochemistry ,Mass Spectrometry ,Mammoths ,Chemical modifcations ,Collagen type I ,Extravehicular Activity ,Shotgun proteomics ,Animals ,Humans ,Deamidation ,Ecosystem ,Phylogeny - Abstract
The recent paleoproteomic studies, including paleo-metaproteomic analyses, improved our understanding of the dietary of ancient populations, the characterization of past human diseases, the reconstruction of the habitat of ancient species, but also provided new insights into the phylogenetic relationships between extant and extinct species. In this respect, the present work reports the results of the metaproteomic analysis performed on the middle part of a trunk, and on the portion of a trunk tip tissue of two different woolly mammoths some 30,000 years old. In particular, proteins were extracted by applying EVA (Ethylene–Vinyl Acetate studded with hydrophilic and hydrophobic resins) films to the surface of these tissues belonging to two Mammuthus primigenus specimens, discovered in two regions located in the Russian Far East, and then investigated via a shotgun MS-based approach. This approach allowed to obtain two interesting results: (i) an indirect description of the habitat of these two mammoths, and (ii) an improved characterization of the collagen type I, alpha-1 and alpha-2 chains (col1a1 and col1a2). Sequence characterization of the col1a1 and col1a2 highlighted some differences between M. primigenius and other Proboscidea together with the identification of three (two for col1a1, and one for col1a2) potentially diagnostic amino acidic mutations that could be used to reliably distinguish the Mammuthus primigenius with respect to the other two genera of elephantids (i.e., Elephas and Loxodonta), and the extinct American mastodon (i.e., Mammut americanum). The results were validated through the level of deamidation and other diagenetic chemical modifications of the sample peptides, which were used to discriminate the “original” endogenous peptides from contaminant ones. The data have been deposited to the ProteomeXchange with identifier .
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- 2022
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20. Second Order Two-Species Systems with Nonlocal Interactions: Existence and Large Damping Limits
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Marco Di Francesco, Simone Fagioli, and Valeria Iorio
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Mathematics - Analysis of PDEs ,Applied Mathematics ,FOS: Mathematics ,Analysis of PDEs (math.AP) - Abstract
We study the mathematical theory of second order systems with two species, arising in the dynamics of interacting particles subject to linear damping, to nonlocal forces and to external ones, and resulting into a nonlocal version of the compressible Euler system with linear damping. Our results are limited to the 1 space dimensional case but allow for initial data taken in a Wasserstein space of probability measures. We first consider the case of smooth nonlocal interaction potentials, not subject to any symmetry condition, and prove existence and uniqueness. The concept of solutions relies on a stickiness condition in case of collisions, in the spirit of previous works in the literature. The result uses concepts from classical Hilbert space theory of gradient flows (cf. Brezis, Operateurs maximaux monotones et semi-groupes de contractions dans les espaces de Hilbert, 1973) and a trick used in Brenier et al. (J. Math. Pures Appl. 99(5):577–617, 2013). We then consider a large-time and large-damping scaled version of our system and prove convergence to solutions to the corresponding first order system. Finally, we consider the case of Newtonian potentials - subject to symmetry of the cross-interaction potentials - and external convex potentials. After showing existence in the sticky particles framework in the spirit of Brenier et al. (J. Math. Pures Appl. 99(5):577–617, 2013), we prove convergence for large times towards Dirac delta solutions for the two densities. All the results share a common technical framework in that solutions are considered in a Lagrangian framework, which allows to estimate the behavior of solutions via $L^{2}$ L 2 estimates of the pseudo-inverse variables corresponding to the two densities. In particular, due to this technique, the large-damping result holds under a rather weak condition on the initial data, which does not require well-prepared initial velocities. We complement the results with numerical simulations.
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- 2023
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21. An unusual case of pleural effusion
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Alice Della Torre, Pietro Di Francesco, Gaia Annalisa Montanelli, Matteo Bolis, Agnese Comelli, Maurizio Ferrarese, Giorgio Alberto Croci, and Eleonora Tobaldini
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Emergency Medicine ,Internal Medicine - Published
- 2023
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22. Hypoalbuminemia increases complications in elderly patients operated for hip fracture
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Residori, Luigi, primary, Bortolami, Oscar, additional, and Di Francesco, Vincenzo, additional
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- 2023
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23. An unusual case of pleural effusion
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Della Torre, Alice, primary, Di Francesco, Pietro, additional, Montanelli, Gaia Annalisa, additional, Bolis, Matteo, additional, Comelli, Agnese, additional, Ferrarese, Maurizio, additional, Croci, Giorgio Alberto, additional, and Tobaldini, Eleonora, additional
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- 2023
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24. Study of Dam-Break Flow Over a Vegetated Channel With and Without a Drop
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Khoshkonesh, Alireza, primary, Sadeghi, Seyed Hossein, additional, Gohari, Saeed, additional, Karimpour, Somayyeh, additional, Oodi, Shahin, additional, and Di Francesco, Silvia, additional
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- 2023
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25. Sustained inhibition of CC-chemokine receptor-2 via intraarticular deposition of polymeric microplates in post-traumatic osteoarthritis
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Ozkan, Huseyin, primary, Di Francesco, Martina, additional, Willcockson, Helen, additional, Valdés-Fernández, José, additional, Di Francesco, Valentina, additional, Granero-Moltó, Froilán, additional, Prósper, Felipe, additional, Decuzzi, Paolo, additional, and Longobardi, Lara, additional
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- 2022
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26. Paleoproteomic profiling of organic residues on prehistoric pottery from Malta
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Tanasi, Davide, Cucina, Annamaria, Cunsolo, Vincenzo, Saletti, Rosaria, Di Francesco, Antonella, Greco, Enrico, Foti, Salvatore, Tanasi, D., Cucina, A., Cunsolo, V., Saletti, R., Di Francesco, A., Greco, E., and Foti, S.
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Proteomics ,0301 basic medicine ,High-resolution mass spectrometry ,Ceramics ,History ,Food Analysi ,Clinical Biochemistry ,Context (language use) ,Biology ,01 natural sciences ,Biochemistry ,Mass Spectrometry ,Ancient ,Paleoproteomic ,Prehistory ,03 medical and health sciences ,Paleoproteomics ,Animals ,Humans ,Orbitrap fusion tribrid ,Cereal protein ,History, Ancient ,Cereal proteins ,Animal ,Malta ,Protein ,Deamidation ,Archaeology ,Food Analysis ,Proteins ,010401 analytical chemistry ,Organic Chemistry ,Ceramic ,0104 chemical sciences ,030104 developmental biology ,Original Article ,Food preparation ,Protein identification ,Pottery ,Human - Abstract
Mass spectrometry-based approaches have been successfully applied for identifying ancient proteins in bones and other tissues. On the contrary, there are relatively few examples of the successful recovery and identification of archeological protein residues from ceramic artifacts; this is because ceramics contain much lower levels of proteins which are extensively degraded by diagenetic effects. In this paper, we report the results of the characterization of proteins extracted from pottery of the Maltese site of Baħrija, the guide-site for the Baħrija period (half of 9th–second half of eighth century BCE), recently identified as the final part of the Borġ in-Nadur culture. Proteomic data here reported confirm that one of the major issue of these kind of studies is represented by contamination of animal and human agents that may complicate endogenous protein identification and authentication. The samples tested included a small group of ceramic forms, namely three tableware and six coarse ware thought to have been used in food preparation and/or storage. In this context, the limited availability of paleobotanical and archeozoological analyses may be compensated by the outcomes of the first proteomics profiling which, even if obtained on a limited selection of vessels, revealed the centrality of wheat in the diet of the ancient community of Baħrija. The data have been deposited to the ProteomeXchange with identifier . Supplementary Information The online version contains supplementary material available at (10.1007/s00726-021-02946-4).
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- 2021
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27. Electrolyzed water for the microbiologic control in the pandemic dental setting: a systematic review
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Angélica M. Cárdenas, Vanessa Campos-Bijit, Fabrizio Di Francesco, Frank Schwarz, Emilio A. Cafferata, and Rolando Vernal
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Dental Materials ,Bacteria ,SARS-CoV-2 ,Humans ,Water ,COVID-19 ,Pandemics ,General Dentistry - Abstract
Background Electrolyzed water has brought recent attention due to its antimicrobial properties. Indeed, electrolyzed water has been proposed to sterilize dental materials and instruments without compromising their structural integrity. In addition, electrolyzed water has been proposed as a mouthwash to control bacterial and viral oral infections without detrimental effects on the oral mucosa. However, no current consensus or evidence synthesis could indicate its potentially favorable use in the dental setting, particularly during the COVID-19 context. Therefore, this systematic review aimed to elucidate whether electrolyzed water could improve microbiologic control in the COVID-19 pandemic dental setting. Methods MEDLINE via Pubmed, EMBASE, Cochrane’s CENTRAL, Scopus, LILACS, and Web of Science databases were searched up to September 2021 to identify experimental studies utilizing electrolyzed water for eliminating microorganisms in a dental setting. Besides, a manual and a grey literature search were performed. The data selection and extraction were performed individually and in duplicate. The Risk of Bias (RoB) was assessed with the Nature Publication Quality Improvement Project (NPQIP) score sheet. The study protocol was registered at PROSPERO CRD42020206986. Results From a total of 299 articles, 63 studies met the inclusion criteria. The included studies assessed several types of electrolyzed waters, which showed a high disinfection potential when used to deal with different oral conditions. Electrolyzed water demonstrated a broad antimicrobial spectrum and was highly efficient in the dental office disinfection against viruses, fungi, and bacteria, being compatible with most dental materials. In addition, electrolyzed water could protect against SARS-CoV-2 infection and contamination in the dental office. Regarding the RoB, only 35.18% of entries were answered as ‘Yes’, thus achieving less than half of the reporting sheet. Conclusion Electrolyzed water effectively disinfects contaminated surfaces, dental materials, and equipment. Therefore, their use is recommendable in the SARS-CoV-2 pandemic dental setting.
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- 2022
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28. Meta-proteomic analysis of the Shandrin mammoth by EVA technology and high-resolution mass spectrometry: what is its gut microbiota telling us?
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Andrey G. Bublichenko, Rosaria Saletti, Alexei Tikhonov, Salvatore Foti, Svetlana Zilberstein, Vincenzo Cunsolo, Antonella Di Francesco, Gleb Zilberstein, Annamaria Cucina, and Pier Giorgio Righetti
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Proteomics ,High-resolution mass spectrometry ,Woolly mammoth ,Clinical Biochemistry ,Extinct species ,Gut flora ,Biochemistry ,Mass Spectrometry ,Mammoths ,Paleoproteomics ,Extant taxon ,Meta-proteomics ,Mammoth microbiota ,Shotgun proteomics ,Animals ,Orbitrap fusion tribrid ,Mammoth ,biology ,Phylogenetic tree ,Organic Chemistry ,biology.organism_classification ,Gastrointestinal Microbiome ,Evolutionary biology ,Original Article ,Deamidation ,Paleoproteomics · Meta-proteomics · Mammoth microbiota · Shotgun proteomics · High-resolution mass spectrometry · Orbitrap fusion tribrid · Deamidation - Abstract
During the last decade, paleoproteomics allowed us to open a direct window into the biological past, improving our understanding of the phylogenetic relationships of extant and extinct species, past human diseases, and reconstruction of the human diet. In particular, meta-proteomic studies, mainly carried out on ancient human dental calculus, provided insights into past oral microbial communities and ancient diets. On the contrary, very few investigations regard the analysis of ancient gut microbiota, which may enable a greater understanding of how microorganisms and their hosts have co-evolved and spread under the influence of changing diet practices and habitat. In this respect, this paper reports the results of the first-ever meta-proteomic analysis carried out on a gut tissue sample some 40,000 years old. Proteins were extracted by applying EVA (ethylene–vinyl acetate) films to the surface of the gut sample of a woolly mammoth (Mammuthus primigenus), discovered in 1972 close to the Shandrin River (Yakutia, Russia), and then investigated via a shotgun MS-based approach. Proteomic and peptidomic analysis allowed in-depth exploration of its meta-proteome composition. The results were validated through the level of deamidation and other diagenetic chemical modifications of the sample peptides, which were used to discriminate the “original” endogenous peptides from contaminant ones. Overall, the results of the meta-proteomic analysis here reported agreeing with the previous paleobotanical studies and with the reconstructed habitat of the Shandrin mammoth and provided insight into its diet. The data have been deposited to the ProteomeXchange with identifier . Supplementary Information The online version contains supplementary material available at 10.1007/s00726-021-03061-0.
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- 2021
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29. Electrolyzed water for the microbiologic control in the pandemic dental setting: a systematic review
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Cárdenas, Angélica M., primary, Campos-Bijit, Vanessa, additional, Di Francesco, Fabrizio, additional, Schwarz, Frank, additional, Cafferata, Emilio A., additional, and Vernal, Rolando, additional
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- 2022
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30. Polyhedral separation via difference of convex (DC) programming
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Annabella Astorino, Massimo Di Francesco, Manlio Gaudioso, Enrico Gorgone, and Benedetto Manca
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0209 industrial biotechnology ,Mathematical optimization ,021103 operations research ,Computer science ,Separation (aeronautics) ,0211 other engineering and technologies ,Dc programming ,Regular polygon ,Computational intelligence ,02 engineering and technology ,Classification ,Theoretical Computer Science ,Machine Learning ,020901 industrial engineering & automation ,Benchmark (computing) ,DC optimization ,Geometry and Topology ,Focus (optics) ,Software - Abstract
We consider polyhedral separation of sets as a possible tool in supervised classification. In particular, we focus on the optimization model introduced by Astorino and Gaudioso (J Optim Theory Appl 112(2):265–293, 2002) and adopt its reformulation in difference of convex (DC) form. We tackle the problem by adapting the algorithm for DC programming known as DCA. We present the results of the implementation of DCA on a number of benchmark classification datasets.
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- 2021
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31. Search for charged Higgs bosons decaying into a top and a bottom quark in the all-jet final state of pp collisions at $$ \sqrt{s} $$ = 13 TeV
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E. W. Vaandering, Alexander Titterton, V. Re, Jeremie Alexandre Merlin, Piotr Zalewski, C. Kleinwort, Xinmei Niu, Vitaly Smirnov, Prasant Kumar Rout, Jean-Louis Faure, Riccardo Paramatti, Andrea Giammanco, Priyanka Kumari, Dragos Velicanu, Qamar Hassan, Nuno Leonardo, Santeri Laurila, Alexander Schmidt, Nadir Daci, Vipin Bhatnagar, T. Liu, C-E Wulz, W. A. T. Wan Abdullah, Jamal Rorie, Jason Gilmore, Roberto Dell'Orso, J. W. Gary, Ashutosh Bhardwaj, Marco Paganoni, Don Lincoln, Sergey Troshin, Li Yuan, W. De Boer, K. F. Chen, Jory Sonneveld, Hafeez R Hoorani, David D'Enterria, G. Bagliesi, C. Madrid, Andris Skuja, Alessandro Cardini, Kelly Beernaert, Ivica Puljak, Helio Nogima, W. H. Smith, Elif Asli Yetkin, Alberto Orso Maria Iorio, Daniel John Karmgard, Manfred Jeitler, Fabrizio Palla, Peter Raics, Peicho Petkov, L. Malgeri, Kamuran Dilsiz, Seema Bahinipati, Paolo Rumerio, Leonardo Cristella, Lorenzo Uplegger, Owen Baron, Vivekanand Jha, Achille Petrilli, Chun-Hua Jiang, Felice Pantaleo, Chanwook Hwang, Mário Costa, Hans Reithler, Robert Hirosky, Niladribihari Sahoo, Apichart Hortiangtham, Dezso Horvath, Christina Reissel, Ryan Mueller, Steve Schnetzer, Saranya Ghosh, Klaas Padeken, Patrick Jarry, Ben Bylsma, Roberto Tenchini, Meng Xiao, Renato Campanini, Guido Tonelli, Zeljko Antunovic, Alexander Fröhlich, Sushil Chauhan, Christian Autermann, Jacobo Konigsberg, Rosamaria Venditti, W. J. Metzger, Kajari Mazumdar, Nickolas Mccoll, Demetra Tsiakkouri, Shawn Zaleski, Torben Dreyer, Alessia Tricomi, Nikolay Tyurin, Roumyana Hadjiiska, Kenneth Bloom, Thomas Perry, Igor Smirnov, Piergiulio Lenzi, Carlos Lourenco, A. G. Stahl Leiton, Andrej Saibel, Benjamin Krikler, M. De Mattia, G. Quast, Rishi Patel, Y. D. Oh, Marcus Hohlmann, Anup Kumar Sikdar, Y. Musienko, M. C. Fouz, Samuel Boren, Sharad Malik, Najaf Amin, A. Braghieri, Vytautas Dudenas, Kerstin Hoepfner, Samila Muthumuni, Hannsjoerg Artur Weber, Tai Sakuma, Gordon H. Hanson, Carlos Florez, Ilaria Vai, Salvatore My, T. A. Gómez Espinosa, Nicolas Postiau, Marco Musich, James Dolen, Maciej Misiura, Anterpreet Kaur, Fabrice Couderc, Gilvan Alves, M. Pelliccioni, Sridhara Dasu, Emilio Meschi, W. T. Lin, Dylan Hsu, Luca Perrozzi, Manfred Krammer, Kevin Sung, Yutaro Iiyama, Mehmet Kaya, Intae Yu, Freya Blekman, Raman Khurana, Tanushree Bose, Ilse Krätschmer, David Michael Morse, G. Hamel de Monchenault, Aditee Rane, Anna Teresa Meneguzzo, Fatma Boran, Manfred Paulini, F. Mohamad Idris, Malte Backhaus, Konstanty Sumorok, Alexandros Attikis, L. V. Kardapoltsev, Elena Voevodina, Amitabh Lath, Simon Kudella, Angela Mehta, A. Kasem, Nicholas Wardle, Raffaele Gerosa, Alexander Ledovskoy, Vincent J Smith, F. Vazzoler, Jessica Prisciandaro, Pierluigi Bortignon, Ugo Gasparini, Veikko Karimäki, Bradley Cox, K. Wong, Yen-Jie Lee, Doga Gulhan, Louis Lyons, Ettore Focardi, Matthias Schröder, Ulascan Sarica, Ioannis Papakrivopoulos, Laurent Thomas, Mark Derdzinski, Maria Toms, John Michael Marraffino, E. De La Cruz-Burelo, Kenneth Call, A. Rossi, Jaana Kristiina Heikkilä, Hugues Lattaud, Tao Huang, Anna Elliott-Peisert, Vuko Brigljevic, Bruno Wittmer, Lucia Silvestris, Andreas Psallidas, C. Vander Velde, David Taylor, B. Jayatilaka, Aran Garcia-Bellido, Srimoyee Sen, R. Bhattacharya, E. Carrera Jarrin, Douglas Wright, Isa Dumanoglu, Davide Zuolo, Giles Strong, Debarati Roy, Andrey Pozdnyakov, P. Van Hove, Alice Cocoros, Panagiotis Katsoulis, Stephen Mrenna, Denys Lontkovskyi, Konstantinos Manolopoulos, Marc Weinberg, John Rander, A. Di Crescenzo, Marco Zanetti, U. 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Jones, Camilla Galloni, Seth Conrad Zenz, I. Dremin, Silvano Tosi, Vincenzo Daponte, Ryan Heller, R. Sharma, Maxime Guilbaud, Rishika Bhardwaj, Simon Christoph Schuler, Daniel Treille, P. De Castro Manzano, János Karancsi, Anthony Lefeld, M. Vidal Marono, Julia Thom, Kelvin Mei, S. R. Dugad, Aristotelis Kyriakis, Finn Rebassoo, D. De Jesus Damiao, D. A. Sanz Becerra, J. A. Nash, Elisabetta Gallo, Vincenzo Ciriolo, Welathantri Gd Dharmaratna, Gregory Iles, C. F. González Hernández, Ali Celik, Ferenc Sikler, Mauro Verzetti, Markus Stoye, Rudy Ceccarelli, Benedikt Vormwald, C. Wissing, A. Castaneda Hernandez, Mario Kadastik, Alexander Dermenev, Ilknur Hos, J. N. Butler, Volker Blobel, Joshua Hardenbrook, I. Heredia-De La Cruz, Christopher Mcginn, Paolo Lariccia, Dmitry Sosnov, Tamas Novak, Robin Aggleton, Ferhat Ozok, Andreas Nürnberg, A. M. Vargas Hernandez, Prasanna Siddireddy, German Martinez, T. Susa, Cristina Botta, Viesturs Veckalns, Daniel Robert Marlow, Thea Klaeboe Aarrestad, Paul Sheldon, Haiyan Wang, Chad Freer, Stefan Piperov, Neeti Parashar, T. Geralis, Mateusz Zarucki, Antoni Shtipliyski, E. Ayala, Wajid Ali Khan, Quan Wang, Erich Schmitz, Lutz Feld, Inna Kucher, S. Baur, Yves Sirois, W. T. Hung, Klaus Rabbertz, Yuichi Kubota, Li Li, Dario Bisello, Pascal Paganini, R. Walsh, Jonas Rembser, Shahram Rahatlou, Sebastiano Albergo, Igor Lokhtin, Myriam Schönenberger, Jelena Mijuskovic, Matej Roguljic, Sarah Freed, Alain Hervé, Yuri Skovpen, A. Starodumov, A. Di Mattia, Alicia Calderon, Seyed Mohsen Etesami, Ivan Vila, S. Carrillo Moreno, Sandra Oliveros, Alfredo Gurrola, Ufuk Guney Tok, Federica Legger, Tuure Tuuva, M. Medina Jaime, Elizabeth Kennedy, Margaret Zientek, Unki Yang, Andreas Albert, J. S. H. Lee, William John Womersley, Hassan Abdalla, Daniel Pitzl, Joaquin Emilo Siado, Zachary Lesko, A. Moraes, Gabriella Pugliese, Christopher Brew, Gintautas Tamulaitis, Lothar At Bauerdick, Ozgun Kara, Daniel Gastler, Leonardo Giannini, Biagio Rossi, Maksat Haytmyradov, Paolo Montagna, EmineGurpinar Guler, Seth Moortgat, P. Sphicas, Kevin Lannon, Thomas Berger, J. Madhusudanan Sreekala, Othmane Bouhali, Milan Stojanovic, Carlos Erice, H. Zhang, David Mason, Muhammad Waqas, Izaak Neutelings, Predrag Milenovic, Peter R Hobson, Kin Ho Lo, G. Della Ricca, E. Eskandari Tadavani, Tomas Lindén, N. Van Remortel, Alice Florent, Luigi Moroni, Luca Lista, Guenakh Mitselmakher, S. Orfanelli, Fabio Iemmi, G. P. Siroli, Jordan Damgov, D. Di Croce, Sudarshan Paramesvaran, Victor Daniel Elvira, Bilal Kiani, Bhumika Kansal, R. Loveless, L. R. Sulak, M. A. Segura Delgado, Andrea Triossi, Christoph Schwick, M. Aguilar-Benitez, Stephane Cooperstein, S. 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Cho, Andrew Whitbeck, Viktor Veszpremi, K. H. M. Kwok, Kira Burt, Vukasin Milosevic, I. Gonzalez Caballero, Shabnam Jabeen, T. Aushev, Thomas Reitenspiess, Kevin Mcdermott, Dmytro Kovalskyi, V. Kutzner, Gyorgy Vesztergombi, Ali Harb, Frank Jm Geurts, Smarajit Karmakar, Elizabeth Locci, Marco Monteno, Ohannes Kamer Köseyan, Nikkie Deelen, Radia Redjimi, Alexey Volkov, E. M. Da Costa, Zehui Zhang, Eleni Erodotou, Arnaud Steen, C. Scharf, Siarhei Shulha, Boaz Klima, Prakash Thapa, Giovanni Abbiendi, Olmo Cerri, Olivier Davignon, Dmitri Konstantinov, J. S. Kim, Michael Tytgat, David Lange, Robin Erbacher, Alessio Boletti, Jie Zhang, Senta Greene, C. Baldenegro Barrera, Sherif Elgammal, Dylan Teague, Francisco Yumiceva, Ritva Kinnunen, Petar Maksimovic, Patrick Janot, Jan Tomsa, Alexey Baskakov, Georg Auzinger, Angelo Giacomo Zecchinelli, M. Aldaya Martin, Jindrich Lidrych, Harvey B Newman, Paolo Gunnellini, Jeffrey Berryhill, J. D. 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Piroué, Neil Schroeder, Atanu Modak, Marco Cipriani, Peter Elmer, Stephan Albert Wiederkehr, F. M. Stober, AllisonReinsvold Hall, Marcella Diemoz, M. Flechl, Mikhail Dubinin, G. Cucciati, Wei Li, Suat Ozkorucuklu, Wei Xie, Rainer Wallny, V. Drugakov, Piero Giorgio Verdini, Ivan Amos Cali, A. Carvalho Antunes De Oliveira, Norbert Neumeister, Philip Baringer, Enrico Robutti, George Stephans, S. Nandan, A. De Iorio, Pietro Vischia, Francisco Matorras, S. Banerjee, John A Coughlan, Camille Camen, E. Palencia Cortezon, Tariq Aziz, Dave M Newbold, Marko Dragicevic, George Karathanasis, Y. Choi, Brandon Allen, Dustin Burns, Prabhat Ranjan Pujahari, L. J. Sanchez Rosas, Urs Langenegger, Adrian Byszuk, Pritam Kalbhor, Crisostomo Sciacca, Maxim Goncharov, K. 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M., Mason, D., Mcbride, P., Merkel, P., Mrenna, S., Nahn, S., O'Dell, V, Papadimitriou, V, Pedro, K., Pena, C., Rakness, G., Ravera, F., Ristori, L., Schneider, B., Sexton-Kennedy, E., Smith, N., Soha, A., Spalding, W. J., Spiegel, L., Stoynev, S., Strait, J., Strobbe, N., Taylor, L., Tkaczyk, S., Tran, N., V, Uplegger, L., Vaandering, E. W., Vernieri, C., Vidal, R., Wang, M., Weber, H. A., Acosta, D., Avery, P., Bourilkov, D., Brinkerhoff, A., Cadamuro, L., Carnes, A., Cherepanov, V, Errico, F., Field, R. D., Gleyzer, S., Joshi, B. M., Kim, M., Konigsberg, J., Korytov, A., Lo, K. H., Ma, P., Matchev, K., Menendez, N., Mitselmakher, G., Rosenzweig, D., Shi, K., Wang, J., Zuo, X., Joshi, Y. R., Adams, T., Askew, A., Hagopian, S., Hagopian, V, Johnson, K. F., Khurana, R., Kolberg, T., Martinez, G., Perry, T., Prosper, H., Schiber, C., Yohay, R., Zhang, J., Baarmand, M. M., Hohlmann, M., Noonan, D., Rahmani, M., Saunders, M., Yumiceva, F., Adams, M. R., Apanasevich, L., Betts, R. R., Cavanaugh, R., Chen, X., Dittmer, S., Evdokimov, O., Gerber, C. E., Hangal, D. A., Hofman, D. J., Jung, K., Mills, C., Roy, T., Tonjes, M. B., Varelas, N., Viinikainen, J., Wang, H., Wang, X., Wu, Z., Alhusseini, M., Bilki, B., Clarida, W., Dilsiz, K., Durgut, S., Gandrajula, R. P., Haytmyradov, M., Khristenko, V, Koseyan, O. K., Merlo, J-P, Moeller, A., Nachtman, J., Ogul, H., Onel, Y., Ozok, F., Penzo, A., Snyder, C., Tiras, E., Wetzel, J., Blumenfeld, B., Cocoros, A., Eminizer, N., Gritsan, A., Hung, W. T., Kyriacou, S., Maksimovic, P., Roskes, J., Swartz, M., Barrera, C. Baldenegro, Baringer, P., Bean, A., Boren, S., Bowen, J., Bylinkin, A., Isidori, T., Khalil, S., King, J., Krintiras, G., Kropivnitskaya, A., Lindsey, C., Majumder, D., Mcbrayer, W., Minafra, N., Murray, M., Rogan, C., Royon, C., Sanders, S., Schmitz, E., Takaki, J. D. Tapia, Williams, J., Wilson, G., Duric, S., Ivanov, A., Kaadze, K., Kim, D., Maravin, Y., Mendis, D. R., Mitchell, T., Modak, A., Mohammadi, A., Rebassoo, F., Wright, D., Baden, A., Baron, O., Belloni, A., Eno, S. C., Feng, Y., Hadley, N. J., Jabeen, S., Jeng, G. Y., Kellogg, R. G., Kunkle, J., Mignerey, A. C., Nabili, S., Ricci-Tam, F., Seidel, M., Shin, Y. H., Skuja, A., Tonwar, S. C., Wong, K., Abercrombie, D., Allen, B., Baty, A., Bi, R., Brandt, S., Busza, W., Cali, I. A., D'Alfonso, M., Ceballos, G. Gomez, Goncharov, M., Harris, P., Hsu, D., Hu, M., Klute, M., Kovalskyi, D., Lee, Y-J, Luckey, P. D., Maier, B., Marini, A. C., Mcginn, C., Mironov, C., Narayanan, S., Niu, X., Paus, C., Rankin, D., Roland, C., Roland, G., Shi, Z., Stephans, G. S. F., Sumorok, K., Tatar, K., Velicanu, D., Wang, T. W., Wyslouch, B., Chatterjee, R. M., Evans, A., Guts, S., Hansen, P., Hiltbrand, J., Jain, Sh, Kubota, Y., Lesko, Z., Mans, J., Revering, M., Rusack, R., Saradhy, R., Schroeder, N., Wadud, M. A., Acosta, J. G., Oliveros, S., Bloom, K., Claes, D. R., Fangmeier, C., Finco, L., Golf, F., Kamalieddin, R., Kravchenko, I, Siado, J. E., Snow, G. R., Stieger, B., Tabb, W., Agarwal, G., Harrington, C., Iashvili, I., Kharchilava, A., Mclean, C., Nguyen, D., Parker, A., Pekkanen, J., Rappoccio, S., Roozbahani, B., Alverson, G., Barberis, E., Freer, C., Haddad, Y., Hortiangtham, A., Madigan, G., Marzocchi, B., Morse, D. M., Orimoto, T., Skinnari, L., Tishelman-Charny, A., Wamorkar, T., Wang, B., Wisecarver, A., Wood, D., Bueghly, J., Gunter, T., Hahn, K. A., Odell, N., Schmitt, M. H., Sung, K., Trovato, M., Velasco, M., Bucci, R., Dev, N., Goldouzian, R., Hildreth, M., Anampa, K. Hurtado, Jessop, C., Karmgard, D. J., Lannon, K., Li, W., Loukas, N., Marinelli, N., Mcalister, I, Meng, F., Mueller, C., Planer, M., Ruchti, R., Siddireddy, P., Smith, G., Taroni, S., Wayne, M., Wightman, A., Wolf, M., Woodard, A., Alimena, J., Bylsma, B., Durkin, L. S., Francis, B., Hill, C., Ji, W., Lefeld, A., Ling, T. Y., Winer, B. L., Dezoort, G., Elmer, P., Hardenbrook, J., Haubrich, N., Higginbotham, S., Kalogeropoulos, A., Kwan, S., Lange, D., Lucchini, M. T., Luo, J., Marlow, D., Mei, K., Ojalvo, I, Olsen, J., Palmer, C., Pirou, P., Salfeld-Nebgen, J., Stickland, D., Tully, C., Norberg, S., Barker, A., Barnes, V. E., Gutay, L., Jones, M., Jung, A. W., Khatiwada, A., Mahakud, B., Miller, D. H., Negro, G., Neumeister, N., Peng, C. C., Piperov, S., Qiu, H., Schulte, J. F., Trevisani, N., Wang, F., Xiao, R., Xie, W., Cheng, T., Dolen, J., Parashar, N., Behrens, U., Ecklund, K. M., Freed, S., Geurts, F. J. M., Kilpatrick, M., Kumar, Arun, Padley, B. P., Redjimi, R., Roberts, J., Rorie, J., Shi, W., Leiton, A. G. Stahl, Tu, Z., Zhang, A., Bodek, A., de Barbaro, P., Demina, R., Dulemba, J. L., Fallon, C., Ferbel, T., Galanti, M., Garcia-Bellido, A., Hindrichs, O., Khukhunaishvili, A., Ranken, E., Taus, R., Chiarito, B., Chou, J. P., Gandrakota, A., Gershtein, Y., Halkiadakis, E., Hart, A., Heindl, M., Hughes, E., Kaplan, S., Laflotte, I, Lath, A., Montalvo, R., Nash, K., Osherson, M., Saka, H., Salur, S., Schnetzer, S., Somalwar, S., Stone, R., Thomas, S., Acharya, H., Delannoy, A. G., Spanier, S., Bouhali, O., Dalchenko, M., De Mattia, M., Delgado, A., Dildick, S., Eusebi, R., Gilmore, J., Huang, T., Luo, S., Malhotra, S., Marley, D., Mueller, R., Overton, D., Perni, L., Rathjens, D., Safonov, A., Akchurin, N., Damgov, J., De Guio, F., Kunori, S., Lamichhane, K., Mengke, T., Muthumuni, S., Peltola, T., Undleeb, S., Volobouev, I, Whitbeck, A., Greene, S., Gurrola, A., Janjam, R., Johns, W., Maguire, C., Melo, A., Ni, H., Padeken, K., Romeo, F., Sheldon, P., Tuo, S., Velkovska, J., Verweij, M., Arenton, M. W., Barria, P., Cox, B., Cummings, G., Hakala, J., Hirosky, R., Joyce, M., Ledovskoy, A., Neu, C., Tannenwald, B., Wolfe, E., Xia, F., Harr, R., Karchin, P. E., Poudyal, N., Sturdy, J., Thapa, P., Bose, T., Buchanan, J., Caillol, C., Carlsmith, D., Dasu, S., De Bruyn, I, Dodd, L., Fiori, F., Galloni, C., He, H., Herndon, M., Herv, A., Hussain, U., Klabbers, P., Lanaro, A., Loeliger, A., Long, K., Loveless, R., Sreekala, J. Madhusudanan, Pinna, D., Ruggles, T., Savin, A., Smith, W. 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Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Damarseçkin, Serdal, Candelise, V., DA ROLD, A., DELLA RICCA, G., ET AL (the CMS, Collaboration), Özdemir, Kadri, Sirunyan, A, Tumasyan, A, Adam, W, Ambrogi, F, Bergauer, T, Brandstetter, J, Dragicevic, M, Ero, J, Escalante Del Valle, A, Flechl, M, Fruhwirth, R, Jeitler, M, Krammer, N, Liko, D, Madlener, T, Rad, N, Schieck, J, Schofbeck, R, Spanring, M, Spitzbart, D, Waltenberger, W, Wulz, C, Zarucki, M, Suarez Gonzalez, J, Darwish, M, De Wolf, E, Di Croce, D, Janssen, X, Lelek, A, Pieters, M, Rejeb Sfar, H, Van Haevermaet, H, Van Mechelen, P, Van Putte, S, Van Remortel, N, Blekman, F, Bols, E, Chhibra, S, D'Hondt, J, De Clercq, J, Lontkovskyi, D, Lowette, S, Moortgat, S, Python, Q, Skovpen, K, Tavernier, S, Van Doninck, W, Van Mulders, P, Beghin, D, Bilin, B, Brun, H, Clerbaux, B, De Lentdecker, G, Delannoy, H, Dorney, B, Favart, L, Grebenyuk, A, Kalsi, A, Popov, A, Postiau, N, Starling, E, Thomas, L, Vander Velde, C, 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Strobbe N., Taylor L., Tkaczyk S., Tran N.V., Uplegger L., Vaandering E.W., Vernieri C., Vidal R., Wang M., Weber H.A., Acosta D., Avery P., Bourilkov D., Brinkerhoff A., Cadamuro L., Carnes A., Cherepanov V., Errico F., Field R.D., Gleyzer S.V., Joshi B.M., Kim M., Konigsberg J., Korytov A., Lo K.H., Ma P., Matchev K., Menendez N., Mitselmakher G., Rosenzweig D., Shi K., Wang J., Zuo X., Joshi Y.R., Adams T., Askew A., Hagopian S., Hagopian V., Johnson K.F., Khurana R., Kolberg T., Martinez G., Perry T., Prosper H., Schiber C., Yohay R., Zhang J., Baarmand M.M., Hohlmann M., Noonan D., Rahmani M., Saunders M., Yumiceva F., Adams M.R., Apanasevich L., Betts R.R., Cavanaugh R., Chen X., Dittmer S., Evdokimov O., Gerber C.E., Hangal D.A., Hofman D.J., Jung K., Mills C., Roy T., Tonjes M.B., Varelas N., Viinikainen J., Wang H., Wang X., Wu Z., Alhusseini M., Bilki B., Clarida W., Dilsiz K., Durgut S., Gandrajula R.P., Haytmyradov M., Khristenko V., Koseyan O.K., Merlo J.-P., Mestvirishvili A., Moeller A., Nachtman J., Ogul H., Onel Y., Ozok F., Penzo A., Snyder C., Tiras E., Wetzel J., Blumenfeld B., Cocoros A., Eminizer N., Gritsan A.V., Hung W.T., Kyriacou S., Maksimovic P., Roskes J., Swartz M., Baldenegro Barrera C., Baringer P., Bean A., Boren S., Bowen J., Bylinkin A., Isidori T., Khalil S., King J., Krintiras G., Kropivnitskaya A., Lindsey C., Majumder D., Mcbrayer W., Minafra N., Murray M., Rogan C., Royon C., Sanders S., Schmitz E., Tapia Takaki J.D., Williams J., Wilson G., Duric S., Ivanov A., Kaadze K., Kim D., Maravin Y., Mendis D.R., Mitchell T., Modak A., Mohammadi A., Rebassoo F., Wright D., Baden A., Baron O., Belloni A., Eno S.C., Feng Y., Hadley N.J., Jabeen S., Jeng G.Y., Kellogg R.G., Kunkle J., Mignerey A.C., Nabili S., Ricci-Tam F., Seidel M., Shin Y.H., Skuja A., Tonwar S.C., Wong K., Abercrombie D., Allen B., Baty A., Bi R., Brandt S., Busza W., Cali I.A., D'Alfonso M., Gomez Ceballos G., Goncharov M., Harris P., Hsu D., Hu M., Klute M., Kovalskyi D., Lee Y.-J., Luckey P.D., Maier B., Marini A.C., Mcginn C., Mironov C., Narayanan S., Niu X., Paus C., Rankin D., Roland C., Roland G., Shi Z., Stephans G.S.F., Sumorok K., Tatar K., Velicanu D., Wang T.W., Wyslouch B., Chatterjee R.M., Evans A., Guts S., Hansen P., Hiltbrand J., Kubota Y., Lesko Z., Mans J., Revering M., Rusack R., Saradhy R., Schroeder N., Wadud M.A., Acosta J.G., Oliveros S., Bloom K., Claes D.R., Fangmeier C., Finco L., Golf F., Kamalieddin R., Kravchenko I., Siado J.E., Snow G.R., Stieger B., Tabb W., Agarwal G., Harrington C., Iashvili I., Kharchilava A., McLean C., Nguyen D., Parker A., Pekkanen J., Rappoccio S., Roozbahani B., Alverson G., Barberis E., Freer C., Haddad Y., Hortiangtham A., Madigan G., Marzocchi B., Morse D.M., Orimoto T., Skinnari L., Tishelman-Charny A., Wamorkar T., Wang B., Wisecarver A., Wood D., Bueghly J., Gunter T., Hahn K.A., Odell N., Schmitt M.H., Sung K., Trovato M., Velasco M., Bucci R., Dev N., Goldouzian R., Hildreth M., Hurtado Anampa K., Jessop C., Karmgard D.J., Lannon K., Li W., Loukas N., Marinelli N., Mcalister I., Meng F., Mueller C., Musienko Y., Planer M., Ruchti R., Siddireddy P., Smith G., Taroni S., Wayne M., Wightman A., Wolf M., Woodard A., Alimena J., Bylsma B., Durkin L.S., Francis B., Hill C., Ji W., Lefeld A., Ling T.Y., Winer B.L., Dezoort G., Elmer P., Hardenbrook J., Haubrich N., Higginbotham S., Kalogeropoulos A., Kwan S., Lange D., Lucchini M.T., Luo J., Marlow D., Mei K., Ojalvo I., Olsen J., Palmer C., Piroue P., Salfeld-Nebgen J., Stickland D., Tully C., Norberg S., Barker A., Barnes V.E., Das S., Gutay L., Jones M., Jung A.W., Khatiwada A., Mahakud B., Miller D.H., Negro G., Neumeister N., Peng C.C., Piperov S., Qiu H., Schulte J.F., Trevisani N., Wang F., Xiao R., Xie W., Cheng T., Dolen J., Parashar N., Behrens U., Ecklund K.M., Freed S., Geurts F.J.M., Kilpatrick M., Padley B.P., Redjimi R., Roberts J., Rorie J., Shi W., Stahl Leiton A.G., Tu Z., Zhang A., Bodek A., de Barbaro P., Demina R., Dulemba J.L., Fallon C., Ferbel T., Galanti M., Garcia-Bellido A., Hindrichs O., Khukhunaishvili A., Ranken E., Taus R., Chiarito B., Chou J.P., Gandrakota A., Gershtein Y., Halkiadakis E., Hart A., Heindl M., Hughes E., Kaplan S., Laflotte I., Lath A., Montalvo R., Nash K., Osherson M., Saka H., Salur S., Schnetzer S., Somalwar S., Stone R., Thomas S., Acharya H., Delannoy A.G., Spanier S., Bouhali O., Dalchenko M., De Mattia M., Delgado A., Dildick S., Eusebi R., Gilmore J., Huang T., Kamon T., Luo S., Malhotra S., Marley D., Mueller R., Overton D., Pernie L., Rathjens D., Safonov A., Akchurin N., Damgov J., De Guio F., Kunori S., Lamichhane K., Mengke T., Muthumuni S., Peltola T., Undleeb S., Volobouev I., Whitbeck A., Greene S., Gurrola A., Janjam R., Johns W., Maguire C., Melo A., Ni H., Padeken K., Romeo F., Sheldon P., Tuo S., Velkovska J., Verweij M., Arenton M.W., Barria P., Cox B., Cummings G., Hakala J., Hirosky R., Joyce M., Ledovskoy A., Neu C., Tannenwald B., Wolfe E., Xia F., Harr R., Karchin P.E., Poudyal N., Sturdy J., Thapa P., Bose T., Buchanan J., Caillol C., Carlsmith D., Dasu S., De Bruyn I., Dodd L., Fiori F., Galloni C., He H., Herndon M., Herve A., Hussain U., Klabbers P., Lanaro A., Loeliger A., Long K., Loveless R., Madhusudanan Sreekala J., Pinna D., Ruggles T., Savin A., Smith W.H., Teague D., Trembath-reichert S., and Woods N.
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Top quark ,associated production [Higgs particle] ,ComputerSystemsOrganization_COMPUTERSYSTEMIMPLEMENTATION ,Physics::Instrumentation and Detectors ,13000 GeV-cms ,Jet (particle physics) ,01 natural sciences ,High Energy Physics - Experiment ,Physics, Particles & Fields ,High Energy Physics - Experiment (hep-ex) ,S064HGC ,Hadron-Hadron scattering (experiments) ,scattering [p p] ,PROGRAM ,ComputingMilieux_COMPUTERSANDEDUCATION ,[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex] ,Higgs particle: mass: lower limit ,Beyond Standard Model ,Higgs physics ,PLUS PLUS ,Boson ,Physics ,0105 Mathematical Physics ,Large Hadron Collider ,doublet [Higgs particle] ,CMS ,4. Education ,Settore FIS/01 - Fisica Sperimentale ,mass: lower limit [Higgs particle] ,Nuclear & Particles Physics ,supersymmetry: minimal ,channel cross section: branching ratio: upper limit ,3. Good health ,CERN LHC Coll ,Physical Sciences ,0202 Atomic, Molecular, Nuclear, Particle and Plasma Physics ,ComputingMethodologies_DOCUMENTANDTEXTPROCESSING ,Higgs boson ,PARTICLE PHYSICS ,charged particle [Higgs particle] ,colliding beams [p p] ,Higgs ,physics ,PAIR PRODUCTION ,MASSES ,MODEL ,HDECAY ,MSSM ,Particle Physics - Experiment ,High energy physics ,Experimental particle physics ,LHC ,Particle Physics Experiments ,Vector boson scattering ,Supersymmetry ,Particle and resonance production ,B physics ,Particle correlations and fluctuations ,Quarkonium ,Elementary Particles and Fields ,Jets ,QCD ,Top physics ,Diboson ,Electroweak ,CKM matrix ,Large detector-systems performance ,Pattern recognition ,p p: scattering ,Nuclear and High Energy Physics ,Particle physics ,+top+bottom%22">Higgs particle --> top bottom ,Higgs particle: charged particle ,FOS: Physical sciences ,114 Physical sciences ,Bottom quark ,Higgs particle: doublet ,bottom ,((n)jet) [final state] ,0103 physical sciences ,lcsh:Nuclear and particle physics. Atomic energy. Radioactivity ,ddc:530 ,010306 general physics ,0206 Quantum Physics ,branching ratio: upper limit [channel cross section] ,Science & Technology ,ComputingMilieux_THECOMPUTINGPROFESSION ,LARGE HADRON COLLIDER ,hep-ex ,background ,010308 nuclear & particles physics ,Branching fraction ,High Energy Physics::Phenomenology ,Higgs physic ,Higgs particle: associated production ,minimal [supersymmetry] ,Pair production ,hadronic decay [Higgs particle] ,Higgs particle: hadronic decay ,lcsh:QC770-798 ,High Energy Physics::Experiment ,p p: colliding beams ,experimental results - Abstract
The CMS collaboration: et al., A search for charged Higgs bosons (H±) decaying into a top and a bottom quark in the all-jet final state is presented. The analysis uses LHC proton-proton collision data recorded with the CMS detector in 2016 at √s = 13 TeV, corresponding to an integrated luminosity of 35.9 fb−1. No significant excess is observed above the expected background. Model-independent upper limits at 95% confidence level are set on the product of the H± production cross section and branching fraction in two scenarios. For production in association with a top quark, limits of 21.3 to 0.007 pb are obtained for H± masses in the range of 0.2 to 3 TeV. Combining this with a search in leptonic final states results in improved limits of 9.25 to 0.005 pb. The complementary s-channel production of an H± is investigated in the mass range of 0.8 to 3 TeV and the corresponding upper limits are 4.5 to 0.023 pb. These results are interpreted using different minimal supersymmetric extensions of the standard model., Individuals have received support from the Marie-Curie program and the European Research Council and Horizon 2020 Grant, contract Nos. 675440, 752730, and 765710 (European Union); the Leventis Foundation; the A.P. Sloan Foundation; the Alexander von Humboldt Foundation; the Belgian Federal Science Policy Office; the Fonds pour la Formation a la Recherche dans l’Industrie et dans l’Agriculture (FRIA-Belgium); the Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium); the F.R.S.-FNRS and FWO (Belgium) under the “Excellence of Science — EOS” — be.h project n. 30820817; the Beijing Municipal Science & Technology Commission, No. Z191100007219010; the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Deutsche Forschungsgemeinschaft (DFG) under Germany’s Excellence Strategy — EXC 2121 “Quantum Universe” — 390833306; the Lendulet (“Momentum”) Program and the Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences, the New National Excellence Program UNKP, the NKFIA research grants 123842, 123959, 124845, 124850, 125105, 128713, 128786, and 129058 (Hungary); the Council of Science and Industrial Research, India; the HOMING PLUS program of the Foundation for Polish Science, cofinanced from European Union, Regional Development Fund, the Mobility Plus program of the Ministry of Science and Higher Education, the National Science Center (Poland), contracts Harmonia 2014/14/M/ST2/00428, Opus 2014/13/B/ST2/02543, 2014/15/B/ST2/03998, and 2015/19/B/ST2/02861, Sonata-bis 2012/07/E/ST2/01406; the National Priorities Research Program by Qatar National Research Fund; the Ministry of Science and Education, grant no. 14.W03.31.0026 (Russia); the Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia Maria de Maeztu, grant MDM-2015-0509 and the Programa Severo Ochoa del Principado de Asturias; the Thalis and Aristeia programs cofinanced by EU-ESF and the Greek NSRF; the Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University and the Chulalongkorn Academic into Its 2nd Century Project Advancement Project (Thailand); the Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; the Welch Foundation, contract C-1845; and the Weston Havens Foundation (U.S.A.)., Article funded by SCOAP3.
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- 2020
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32. Very-low-calorie ketogenic diet (VLCKD) in the management of metabolic diseases: systematic review and consensus statement from the Italian Society of Endocrinology (SIE)
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Caprio, M., Infante, M., Moriconi, E., Armani, A., Fabbri, A., Mantovani, G., Mariani, S., Lubrano, C., Poggiogalle, E., Migliaccio, S., Donini, L. M., Basciani, S., Cignarelli, A., Conte, E., Ceccarini, G., Bogazzi, F., Cimino, L., Condorelli, R. A., La Vignera, S., Calogero, A. E., Gambineri, A., Vignozzi, L., Prodam, F., Aimaretti, G., Linsalata, G., Buralli, S., Monzani, F., Aversa, A., Vettor, R., Santini, F., Vitti, P., Gnessi, L., Pagotto, U., Giorgino, F., Colao, A., Lenzi, A., Beccuti, G., Biondi, B., Cannavo, S., Chiodini, I., De Feudis, G., Di Francesco, S., Di Gregorio, A., Fallo, F., Foresta, C., Giacchetti, G., Granata, R., Isidori, A. M., Magni, P., Maiellaro, P., Caprino, M. P., Pivonello, R., Pofi, R., Pontecorvi, A., Simeoli, C., Caprio M., Infante M., Moriconi E., Armani A., Fabbri A., Mantovani G., Mariani S., Lubrano C., Poggiogalle E., Migliaccio S., Donini L.M., Basciani S., Cignarelli A., Conte E., Ceccarini G., Bogazzi F., Cimino L., Condorelli R.A., La Vignera S., Calogero A.E., Gambineri A., Vignozzi L., Prodam F., Aimaretti G., Linsalata G., Buralli S., Monzani F., Aversa A., Vettor R., Santini F., Vitti P., Gnessi L., Pagotto U., Giorgino F., Colao A., Lenzi A., Beccuti G., Biondi B., Cannavo S., Chiodini I., De Feudis G., Di Francesco S., Di Gregorio A., Fallo F., Foresta C., Giacchetti G., Granata R., Isidori A.M., Magni P., Maiellaro P., Caprino M.P., Pivonello R., Pofi R., Pontecorvi A., and Simeoli C.
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Weight loss ,medicine.medical_specialty ,Consensus ,Ketogenic ,Calorie ,Endocrinology, Diabetes and Metabolism ,medicine.medical_treatment ,Cardiovascular rehabilitation ,Cardiovascular risk ,Ketone bodies ,Obesity ,Type 2 diabetes ,030209 endocrinology & metabolism ,Type 2 diabete ,03 medical and health sciences ,Therapeutic approach ,Settore MED/13 ,0302 clinical medicine ,Endocrinology ,Metabolic Diseases ,Medical ,medicine ,Milestone (project management) ,Humans ,Intensive care medicine ,Cardiovascular rehabilitation, Cardiovascular risk, Ketone bodies, Obesity, Type 2 diabetes, Weight loss ,business.industry ,Reducing ,medicine.disease ,Diet ,030220 oncology & carcinogenesis ,Diet, Ketogenic ,Diet, Reducing ,Societies, Medical ,medicine.symptom ,Societies ,business ,Developed country ,Ketone bodie ,Ketogenic diet - Abstract
Background: Weight loss is a milestone in the prevention of chronic diseases associated with high morbility and mortality in industrialized countries. Very-low calorie ketogenic diets (VLCKDs) are increasingly used in clinical practice for weight loss and management of obesity-related comorbidities. Despite evidence on the clinical benefits of VLCKDs is rapidly emerging, some concern still exists about their potential risks and their use in the long-term, due to paucity of clinical studies. Notably, there is an important lack of guidelines on this topic, and the use and implementation of VLCKDs occurs vastly in the absence of clear evidence-based indications. Purpose: We describe here the biochemistry, benefits and risks of VLCKDs, and provide recommendations on the correct use of this therapeutic approach for weight loss and management of metabolic diseases at different stages of life.
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- 2019
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33. Portfolio optimization under solvency II: a multi-objective approach incorporating market views and real-world constraints
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Marco Di Francesco
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Rate of return on a portfolio ,Mathematical optimization ,Optimization problem ,Computer science ,Pooling ,Diversification (finance) ,Portfolio ,Variance (accounting) ,Portfolio optimization ,General Economics, Econometrics and Finance ,Finance ,Modern portfolio theory - Abstract
We propose a new approach to handle the problem of portfolio optimization for non-life insurance company incorporating the solvency capital requirement (SCR), market views and their confident levels, several equality and inequality real-world constraints and transaction costs. We analyze two case studies: first, we consider a tri-objective optimization problem in which we minimize the Market SCR, the variance of the so-called basic own funds (BOF) and maximize the return of portfolio; secondly, we consider bi-objective optimization problem in which we minimize the variance of BOF and maximize the return of portfolio while considering the Market SCR as a constraint. We introduce a scenario-based framework in which the reference model is given by an internal model. By entropy pooling approach, we blended market views and their confident levels with the reference model to build the posterior distribution. The latter is used to compute the variance of BOF and the portfolio return. In both case studies, we obtain good results in term of risk-reward tradeoff and diversification.
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- 2021
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34. Cucullanus carettae Baylis, 1923, in a loggerhead sea turtle (Caretta caretta) from the Adriatic sea: first detection and molecular characterization
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L. Di Gialleonardo, Ilaria Pascucci, Federica Marcer, L. Di Renzo, Antonio Cocco, Cesare Cammà, Valentina Curini, S. Guccione, Erica Marchiori, Nicola Ferri, and G Di Francesco
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Male ,Mediterranean climate ,food.ingredient ,18S ,Genetics, Evolution, and Phylogeny - Short Communication ,Zoology ,Gastrointestinal system ,Biology ,Loggerhead sea turtle ,law.invention ,Cucullanidae ,Feces ,Mediterranean sea ,food ,Spirurina ,law ,Ascaridoidea ,Mediterranean Sea ,Animals ,Turtle (robot) ,Phylogeny ,Molecular identification ,General Veterinary ,cox1 ,General Medicine ,Cucullanus ,biology.organism_classification ,Enteritis ,Turtles ,body regions ,Intestines ,Infectious Diseases ,Insect Science ,Female ,Parasitology ,human activities - Abstract
Cucullanus carettae Baylis, 1923 (Nematoda: Cucullanidae) is found worldwide in loggerhead turtles (Caretta caretta). Regarding the Mediterranean, C. carettae has been identified in the Tyrrhenian and the Ionian Sea and a unique description of a Cucullanus sp. specimen in loggerheads from the Adriatic Sea has been reported in the literature so far. In the framework of a bio-monitoring project of the Abruzzo and Molise coasts, a parasitological survey was performed on stranded and by-caught sea turtles, at the Istituto Zooprofilattico of Abruzzo and Molise “G. Caporale.” During necropsy, the gastrointestinal system of 72 stranded loggerhead turtles was analyzed for the presence of endoparasites and fecal samples were collected for coprological examination. Adult C. carettae (n = 123) was found in the upper intestine of one loggerhead turtle, associated with chronic lymphoplasmocytic enteritis. Additionally, five stool samples (6.9%) were positive for Cucullanus sp. eggs. Molecular characterization of adult nematodes was carried out to study phylogenetic relationships among the Cucullanus species. To our knowledge, this is the first morphological and molecular identification of C. carettae in loggerhead turtles from the Adriatic Sea. Additional studies on the distribution of this parasite in the Mediterranean are encouraged.
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- 2020
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35. Modelling flood events with a cumulant CO lattice Boltzmann shallow water model
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Piergiorgio Manciola, Martin Geier, Silvia Di Francesco, and Sara Venturi
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021110 strategic, defence & security studies ,Atmospheric Science ,Work (thermodynamics) ,Cumulant ,010504 meteorology & atmospheric sciences ,Subroutine ,0211 other engineering and technologies ,Lattice Boltzmann methods ,Dam break ,02 engineering and technology ,Mechanics ,01 natural sciences ,Waves and shallow water ,Test case ,Parallel processing ,Wet–dry ,Earth and Planetary Sciences (miscellaneous) ,Limiter ,Shallow water equations ,Geology ,0105 earth and related environmental sciences ,Water Science and Technology - Abstract
In this work the development of a semiautomatic procedure based on the coupled use of a GIS subroutine and a two-dimensional hydraulic lattice Boltzmann model solving the shallow water equations is presented. A C code implementing the cumulant collision operator and a limiter velocity strategy to model the wave front on a wet–dry bed is discussed and validated against literature test cases. Finally an application to a real test case, the Malpasset dam break, is shown, highlighting the good performances of the model through a comparison with results from surveys and data from literature.
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- 2020
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36. Failure of Jet Engine Fuel Control Unit Originated by Corrosion of Cadmium Coating
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Mirko Sgambetterra, Fabrizio De Paolis, M. Bernabei, Guido Zucca, and Vincenzo di Francesco
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inorganic chemicals ,Jet (fluid) ,Cadmium ,Materials science ,Chromate conversion coating ,020209 energy ,Mechanical Engineering ,Metallurgy ,chemistry.chemical_element ,02 engineering and technology ,Jet fuel ,engineering.material ,Fuel control unit ,Corrosion ,020303 mechanical engineering & transports ,0203 mechanical engineering ,Coating ,chemistry ,Mechanics of Materials ,Plating ,0202 electrical engineering, electronic engineering, information engineering ,engineering ,General Materials Science ,Safety, Risk, Reliability and Quality - Abstract
Since 2015 the barometric fuel units of the aircraft jet trainer fleet were featured by an anomalous increase in the rate of failures, all caused by the presence of debris in the jet fuel system. Cadmium and sulfur based composition of debris observed in the fuel control unit revealed that they were originated by a reaction of jet fuel’s sulfur compounds with cadmium protection coating of few components in the unit. Analysis carried out on jet fuel samples did not find any value out of the specification and therefore further investigations were conducted on the cadmium coating process. Two fuel pumps were examined: a degradation of cadmium coating was observed on every components of both pumps, proportionally to their flight hours.A brown-yellow gelatinous deposit was found into the pumps components, mainly composed by hydrocarbons, cadmium, sulfur and carboxylic salts. The investigation on the cadmium surface treatment process revealed the anomalous absence of the chromate conversion coatings: it was responsible of cadmium availability in the fuel flow, causing the cadmium plating detachment that finally resulted in the solid particles production.
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- 2020
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37. The kidney, COVID-19, and the chemokine network: an intriguing trio
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M. Justich, Gianluigi Taverna, Elena Toniato, Matteo Zanoni, Fabio Grizzi, Simona Di Francesco, Davide Maffei, Paolo Vota, Samantha Milanesi, Robert S. Bresalier, Maurizio Chiriva-Internati, Elena Monica Borroni, and Daniel Yiu
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Nephrology ,medicine.medical_specialty ,Chemokine ,Urology ,030232 urology & nephrology ,030204 cardiovascular system & hematology ,Kidney ,medicine.disease_cause ,Nephrology - Review ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,medicine ,Humans ,Pandemics ,Virus classification ,Coronavirus ,biology ,SARS-CoV-2 ,business.industry ,Acute kidney injury ,COVID-19 ,Acute Kidney Injury ,Prognosis ,medicine.disease ,Pneumonia ,medicine.anatomical_structure ,2019-nCoV ,Immunology ,Etiology ,biology.protein ,Chemokines ,business - Abstract
On December 30th 2019, some patients with pneumonia of unknown etiology were reported in the Program for Monitoring Emerging Diseases (ProMED), a program run by the International Society for Infectious Diseases (ISID), hypothesized to be related to subjects who had had contact with the seafood market in Wuhan, China. Chinese authorities instituted an emergency agency aimed at identifying the source of infection and potential biological pathogens. It was subsequently named by the World Committee on Virus Classification as 2019-nCoV (2019-novel coronavirus) or severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). A number of studies have demonstrated that 2019-nCoV and the SARS-CoV shared the same cell entry receptor named angiotensin-converting enzyme 2 (ACE2). This is expressed in human tissues, not only in the respiratory epithelia, but also in the small intestines, heart, liver, and kidneys. Here, we examine the most recent findings on the effects of SARS-CoV-2 infection on kidney diseases, mainly acute kidney injury, and the potential role of the chemokine network.
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- 2020
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38. Inhibition of mitochondrial complex I reverses NOTCH1-driven metabolic reprogramming in T-cell acute lymphoblastic leukemia
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Natalia Baran, Alessia Lodi, Yogesh Dhungana, Shelley Herbrich, Meghan Collins, Shannon Sweeney, Renu Pandey, Anna Skwarska, Shraddha Patel, Mathieu Tremblay, Vinitha Mary Kuruvilla, Antonio Cavazos, Mecit Kaplan, Marc O. Warmoes, Diogo Troggian Veiga, Ken Furudate, Shanti Rojas-Sutterin, Andre Haman, Yves Gareau, Anne Marinier, Helen Ma, Karine Harutyunyan, May Daher, Luciana Melo Garcia, Gheath Al-Atrash, Sujan Piya, Vivian Ruvolo, Wentao Yang, Sriram Saravanan Shanmugavelandy, Ningping Feng, Jason Gay, Di Du, Jun J. Yang, Fieke W. Hoff, Marcin Kaminski, Katarzyna Tomczak, R. Eric Davis, Daniel Herranz, Adolfo Ferrando, Elias J. Jabbour, M. Emilia Di Francesco, David T. Teachey, Terzah M. Horton, Steven Kornblau, Katayoun Rezvani, Guy Sauvageau, Mihai Gagea, Michael Andreeff, Koichi Takahashi, Joseph R. Marszalek, Philip L. Lorenzi, Jiyang Yu, Stefano Tiziani, Trang Hoang, and Marina Konopleva
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Mice ,Electron Transport Complex I ,Multidisciplinary ,Glutamine ,T-Lymphocytes ,Animals ,General Physics and Astronomy ,General Chemistry ,Receptor, Notch1 ,Precursor T-Cell Lymphoblastic Leukemia-Lymphoma ,General Biochemistry, Genetics and Molecular Biology - Abstract
T-cell acute lymphoblastic leukemia (T-ALL) is commonly driven by activating mutations in NOTCH1 that facilitate glutamine oxidation. Here we identify oxidative phosphorylation (OxPhos) as a critical pathway for leukemia cell survival and demonstrate a direct relationship between NOTCH1, elevated OxPhos gene expression, and acquired chemoresistance in pre-leukemic and leukemic models. Disrupting OxPhos with IACS-010759, an inhibitor of mitochondrial complex I, causes potent growth inhibition through induction of metabolic shut-down and redox imbalance in NOTCH1-mutated and less so in NOTCH1-wt T-ALL cells. Mechanistically, inhibition of OxPhos induces a metabolic reprogramming into glutaminolysis. We show that pharmacological blockade of OxPhos combined with inducible knock-down of glutaminase, the key glutamine enzyme, confers synthetic lethality in mice harboring NOTCH1-mutated T-ALL. We leverage on this synthetic lethal interaction to demonstrate that IACS-010759 in combination with chemotherapy containing L-asparaginase, an enzyme that uncovers the glutamine dependency of leukemic cells, causes reduced glutaminolysis and profound tumor reduction in pre-clinical models of human T-ALL. In summary, this metabolic dependency of T-ALL on OxPhos provides a rational therapeutic target.
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- 2022
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39. Correction: Shape-specific microfabricated particles for biomedical applications: a review
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Moore, Thomas L., primary, Cook, Alexander B., additional, Bellotti, Elena, additional, Palomba, Roberto, additional, Manghnani, Purnima, additional, Spanò, Raffaele, additional, Brahmachari, Sayanti, additional, Di Francesco, Martina, additional, Palange, Anna Lisa, additional, Di Mascolo, Daniele, additional, and Decuzzi, Paolo, additional
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- 2022
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40. Inhibition of mitochondrial complex I reverses NOTCH1-driven metabolic reprogramming in T-cell acute lymphoblastic leukemia
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Baran, Natalia, primary, Lodi, Alessia, additional, Dhungana, Yogesh, additional, Herbrich, Shelley, additional, Collins, Meghan, additional, Sweeney, Shannon, additional, Pandey, Renu, additional, Skwarska, Anna, additional, Patel, Shraddha, additional, Tremblay, Mathieu, additional, Kuruvilla, Vinitha Mary, additional, Cavazos, Antonio, additional, Kaplan, Mecit, additional, Warmoes, Marc O., additional, Veiga, Diogo Troggian, additional, Furudate, Ken, additional, Rojas-Sutterin, Shanti, additional, Haman, Andre, additional, Gareau, Yves, additional, Marinier, Anne, additional, Ma, Helen, additional, Harutyunyan, Karine, additional, Daher, May, additional, Garcia, Luciana Melo, additional, Al-Atrash, Gheath, additional, Piya, Sujan, additional, Ruvolo, Vivian, additional, Yang, Wentao, additional, Shanmugavelandy, Sriram Saravanan, additional, Feng, Ningping, additional, Gay, Jason, additional, Du, Di, additional, Yang, Jun J., additional, Hoff, Fieke W., additional, Kaminski, Marcin, additional, Tomczak, Katarzyna, additional, Eric Davis, R., additional, Herranz, Daniel, additional, Ferrando, Adolfo, additional, Jabbour, Elias J., additional, Emilia Di Francesco, M., additional, Teachey, David T., additional, Horton, Terzah M., additional, Kornblau, Steven, additional, Rezvani, Katayoun, additional, Sauvageau, Guy, additional, Gagea, Mihai, additional, Andreeff, Michael, additional, Takahashi, Koichi, additional, Marszalek, Joseph R., additional, Lorenzi, Philip L., additional, Yu, Jiyang, additional, Tiziani, Stefano, additional, Hoang, Trang, additional, and Konopleva, Marina, additional
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- 2022
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41. A stochastic Asset Liability Management model for life insurance companies
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Di Francesco, Marco, primary and Simonella, Roberta, additional
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- 2022
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42. Meta-proteomic analysis of two mammoth’s trunks by EVA technology and high-resolution mass spectrometry for an indirect picture of their habitat and the characterization of the collagen type I, alpha-1 and alpha-2 sequence
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Cucina, Annamaria, primary, Di Francesco, Antonella, additional, Saletti, Rosaria, additional, Pittalà, Maria Gaetana Giovanna, additional, Zilberstein, Gleb, additional, Zilberstein, Svetlana, additional, Tikhonov, Alexei, additional, Bublichenko, Andrey G., additional, Righetti, Pier Giorgio, additional, Foti, Salvatore, additional, and Cunsolo, Vincenzo, additional
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- 2022
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43. Shape-specific microfabricated particles for biomedical applications: a review
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Moore, Thomas L., primary, Cook, Alexander B., additional, Bellotti, Elena, additional, Palomba, Roberto, additional, Manghnani, Purnima, additional, Spanò, Raffaele, additional, Brahmachari, Sayanti, additional, Di Francesco, Martina, additional, Palange, Anna Lisa, additional, Di Mascolo, Daniele, additional, and Decuzzi, Paolo, additional
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- 2022
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44. The Role of Small Reservoirs in a Water Scarcity Scenario: a Computational Approach
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Di Francesco, Silvia, primary, Casadei, Stefano, additional, Di Mella, Ilaria, additional, and Giannone, Francesca, additional
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- 2022
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45. Liver venous deprivation: an interesting approach for regenerative liver surgery
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Gruttadauria, Salvatore, primary, Di Francesco, Fabrizio, additional, and Miraglia, Roberto, additional
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- 2022
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46. Importin-β/karyopherin-β1 modulates mitotic microtubule function and taxane sensitivity in cancer cells via its nucleoporin-binding region
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M. Eugenia Schininà, Laura Di Francesco, Patrizia Lavia, Paola Rovella, Annalisa Verrico, David Sasah Staid, Loredana Le Pera, and Michela Damizia
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Bridged-Ring Compounds ,0301 basic medicine ,Cancer Research ,TAXANES ,animal structures ,Paclitaxel ,Importin ,Biology ,Microtubules ,environment and public health ,Spindle pole body ,03 medical and health sciences ,0302 clinical medicine ,Microtubule ,Genetics ,Humans ,SPINDLE ASSEMBLY FACTORS ,Molecular Biology ,Mitosis ,Karyopherin ,Import receptor importin-beta 1 ,HURP ,chemistry.chemical_classification ,Wild type ,Drug Synergism ,beta Karyopherins ,Cell biology ,Gene Expression Regulation, Neoplastic ,Nuclear Pore Complex Proteins ,030104 developmental biology ,chemistry ,MITOSIS ,030220 oncology & carcinogenesis ,embryonic structures ,Taxoids ,Nucleoporin ,Nuclear transport ,HeLa Cells ,Protein Binding - Abstract
The nuclear transport receptor importin-beta/karyopherin-beta1 is overexpressed in cancers that display genomic instability. It is regarded as a promising cancer target and inhibitors are being developed. In addition to its role in nucleo-cytoplasmic transport, importin-beta regulates mitosis, but the programmes and pathways in which it operates are defined only in part. To unravel importin-beta's mitotic functions we have developed cell lines expressing either wild-type or a mutant importin-beta form in characterised residues required for nucleoporin binding. Both forms similarly disrupted spindle pole organisation, while only wild-type importin-beta affected microtubule plus-end function and microtubule stability. A proteome-wide search for differential interactors identified a set of spindle regulators sensitive to mutations in the nucleoporin-binding region. Among those, HURP (hepatoma up-regulated protein) is an importin-beta interactor and a microtubule-stabilising factor. We found that induction of wild type, but not mutant importin-beta, under the same conditions that destabilise mitotic microtubules, delocalised HURP, indicating that the spatial distribution of HURP along the spindle requires importin-beta's nucleoporin-binding residues. Concomitantly, importin-beta overexpression sensitises cells to taxanes and synergistically increases mitotic cell death. Thus, the nucleoporin-binding domain is dispensable for importin-beta function in spindle pole organisation, but regulates microtubule stability, at least in part via HURP, and renders cells vulnerable to certain microtubule-targeting drugs.
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- 2019
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47. ($${{\mathbf {t}}},{{\mathbf {q}}}$$)-Deformed Q-Systems, DAHA and Quantum Toroidal Algebras via Generalized Macdonald Operators
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Philippe Di Francesco and Rinat Kedem
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Pure mathematics ,Quantum affine algebra ,010102 general mathematics ,Statistical and Nonlinear Physics ,Type (model theory) ,01 natural sciences ,Cluster algebra ,Symmetric function ,Kernel (algebra) ,Hall algebra ,Mathematics::Quantum Algebra ,0103 physical sciences ,Lie algebra ,010307 mathematical physics ,0101 mathematics ,Yangian ,Mathematical Physics ,Mathematics - Abstract
We introduce the natural (t, q)-deformation of the Q-system algebra in type A. The q-Whittaker limit $$t\rightarrow \infty $$ gives the quantum Q-system algebra of Di Francesco and Kedem (Lett Math Phys 107(2):301–341, [DFK17]), a deformation of the Groethendieck ring of finite dimensional Yangian modules, compatible with graded tensor products (Hatayama et al. in: Recent Developments in Quantum Affine Algebras and Related Topics (Raleigh, NC, 1998), Volume 248 of Contemporary Mathematics, Amer. Math. Soc., Providence, [HKO+99]; Feigin and Loktev in: Differential Topology, Infinite-Dimensional Lie Algebras, and Applications, Volume 194 of Amer. Math. Soc. Transl. Ser. 2, Amer. Math. Soc., Providence, [FL99]; Di Francesco and Kedem in Int Math Res Not IMRN 10:2593–2642, [DFK14]). We show that the (q, t)-deformed algebra is isomorphic to the spherical double affine Hecke algebra of type $${\mathfrak {gl}}_N$$ . Moreover, we describe the kernel of the surjective homomorphism from the quantum toroidal algebra (Miki in J Math Phys 48(12):123520, [Mik07]) and the elliptic Hall algebra (Schiffmann and Vasserot in Compos Math 147(1):188–234, [SV11]) to this new algebra. It is generated by (q, t)-determinants, new objects which are a deformation of the quantum determinant associated with the quantum Q-system. The functional representation of the algebra is generated by generalized Macdonald operators, obtained from the usual Macdonald operators by the $$SL_2({\mathbb {Z}})$$ -action on the spherical Double Affine Hecke Algebra. The generating function for generalized Macdonald operators acts by plethysms on the space of symmetric functions. We give the relation to the plethystic operators from Macdonald theory of Bergeron et al. (J Comb 7(4):671–714, [BGLX16]) in the limit $$N\rightarrow \infty $$ . Thus, the (q, t)-deformation of the Q-system cluster algebra leads directly to Macdonald theory.
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- 2019
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48. Clinical response to nivolumab in an INI1-deficient pediatric chordoma correlates with immunogenic recognition of brachyury
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Williamson, Laura M., primary, Rive, Craig M., additional, Di Francesco, Daniela, additional, Titmuss, Emma, additional, Chun, Hye-Jung E., additional, Brown, Scott D., additional, Milne, Katy, additional, Pleasance, Erin, additional, Lee, Anna F., additional, Yip, Stephen, additional, Rosenbaum, Daniel G., additional, Hasselblatt, Martin, additional, Johann, Pascal D., additional, Kool, Marcel, additional, Harvey, Melissa, additional, Dix, David, additional, Renouf, Daniel J., additional, Holt, Robert A., additional, Nelson, Brad H., additional, Hirst, Martin, additional, Jones, Steven J. M., additional, Laskin, Janessa, additional, Rassekh, Shahrad R., additional, Deyell, Rebecca J., additional, and Marra, Marco A., additional
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- 2021
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49. Risk of Sequelae of COVID-19 in Children Cared for by Primary Care Pediatricians
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Clavenna, Antonio, primary, Di Francesco, Chiara, additional, Di Maio, Lucia, additional, Mauri, Laura, additional, Narducci, Mario, additional, Schirò, Raffaella, additional, and Bonati, Maurizio, additional
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- 2021
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50. Microeconomics of intertemporal choice in zero-space during Covid-19: a behavioral economics perspective
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Cifuentes-Faura, Javier, primary and Di Francesco, Renaud, additional
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- 2021
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