4,627 results on '"A. Pedemonte"'
Search Results
2. Pediatric skull inflammatory myofibroblastic tumor: a rare case report and literature review
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Khurana, Eeshan, Mody, Shaan, Shah, Tanisha, Bouffard, John-Paul, Pedemonte, Maria, Holover, Gianna, Lee, Jessica S., Jacob, Gregg, Scheid, Sara, Morin, Robert, and Mazzola, Catherine
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- 2024
- Full Text
- View/download PDF
3. Profiles of mathematical deficits in children with dyslexia.
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Pedemonte, B, Pereira, C, Borghesani, V, Ebbert, M, Pinheiro-Chagas, P, De Leon, J, Miller, Z, Tee, B, Gorno-Tempini, M, and Allen, Isabel
- Abstract
Despite a high rate of concurrent mathematical difficulties among children with dyslexia, we still have limited information regarding the prevalence and severity of mathematical deficits in this population. To address this gap, we developed a comprehensive battery of cognitive tests, known as the UCSF Mathematical Cognition Battery (MCB), with the aim of identifying deficits in four distinct mathematical domains: number processing, arithmetical procedures, arithmetic facts retrieval, and geometrical abilities. The mathematical abilities of a cohort of 75 children referred to the UCSF Dyslexia Center with a diagnosis of dyslexia, along with 18 typically developing controls aged 7 to 16, were initially evaluated using a behavioral neurology approach. A team of professional clinicians classified the 75 children with dyslexia into five groups, based on parents and teachers reported symptoms and clinical history. These groups included children with no mathematical deficits and children with mathematical deficits in number processing, arithmetical procedures, arithmetic facts retrieval, or geometrical abilities. Subsequently, the children underwent evaluation using the MCB to determine concordance with the clinicians impressions. Additionally, neuropsychological and cognitive standardized tests were administered. Our study reveals that within a cohort of children with dyslexia, 66% exhibit mathematical deficits, and among those with mathematical deficits, there is heterogeneity in the nature of these deficits. If these findings are confirmed in larger samples, they can potentially pave the way for new diagnostic approaches, consistent subtype classification, and, ultimately personalized interventions.
- Published
- 2024
4. The IAAM LTBP4 Haplotype is Protective Against Dystrophin-Deficient Cardiomyopathy.
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Bello, Luca, Sabbatini, Daniele, Fusto, Aurora, Gorgoglione, Domenico, Borin, Giovanni, Penzo, Martina, Riguzzi, Pietro, Villa, Matteo, Vianello, Sara, Calore, Chiara, Melacini, Paola, Vio, Riccardo, Barp, Andrea, DAngelo, Grazia, Gandossini, Sandra, Politano, Luisa, Berardinelli, Angela, Messina, Sonia, Vita, Gian, Pedemonte, Marina, Bruno, Claudio, Albamonte, Emilio, Sansone, Valeria, Baranello, Giovanni, Masson, Riccardo, Astrea, Guja, DAmico, Adele, Bertini, Enrico, Pane, Marika, Lucibello, Simona, Mercuri, Eugenio, Spurney, Christopher, Clemens, Paula, Morgenroth, Lauren, Gordish-Dressman, Heather, Hoffman, Eric, Pegoraro, Elena, and McDonald, Craig
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Duchenne muscular dystrophy ,LTBP4 ,dilated cardiomyopathy ,genetic modifiers ,glucocorticoid treatment ,Humans ,Dystrophin ,Haplotypes ,Retrospective Studies ,Stroke Volume ,Ventricular Function ,Left ,Muscular Dystrophy ,Duchenne ,Cardiomyopathies ,Protein Isoforms ,Latent TGF-beta Binding Proteins - Abstract
BACKGROUND: Dilated cardiomyopathy (DCM) is a major complication of, and leading cause of mortality in Duchenne muscular dystrophy (DMD). Its severity, age at onset, and rate of progression display wide variability, whose molecular bases have been scarcely elucidated. Potential DCM-modifying factors include glucocorticoid (GC) and cardiological treatments, DMD mutation type and location, and variants in other genes. METHODS AND RESULTS: We retrospectively collected 3138 echocardiographic measurements of left ventricular ejection fraction (EF), shortening fraction (SF), and end-diastolic volume (EDV) from 819 DMD participants, 541 from an Italian multicentric cohort and 278 from the Cooperative International Neuromuscular Group Duchenne Natural History Study (CINRG-DNHS). Using generalized estimating equation (GEE) models, we estimated the yearly rate of decrease of EF (-0.80%) and SF (-0.41%), while EDV increase was not significantly associated with age. Utilizing a multivariate generalized estimating equation (GEE) model we observed that mutations preserving the expression of the C-terminal Dp71 isoform of dystrophin were correlated with decreased EDV (-11.01 mL/m2, p = 0.03) while for dp116 were correlated with decreased EF (-4.14%, p =
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- 2024
5. Profiles of Mathematical Deficits in Children with Dyslexia
- Author
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B. Pedemonte, C. W. Pereira, V. Borghesani, M. Ebbert, I. E. Allen, P. Pinheiro-Chagas, J. De Leon, Z. Miller, B. L. Tee, and M. L. Gorno-Tempini
- Abstract
Despite a high rate of concurrent mathematical difficulties among children with dyslexia, we still have limited information regarding the prevalence and severity of mathematical deficits in this population. To address this gap, we developed a comprehensive battery of cognitive tests, known as the UCSF Mathematical Cognition Battery (MCB), with the aim of identifying deficits in four distinct mathematical domains: number processing, arithmetical procedures, arithmetic facts retrieval, and geometrical abilities. The mathematical abilities of a cohort of 75 children referred to the UCSF Dyslexia Center with a diagnosis of dyslexia, along with 18 typically developing controls aged 7 to 16, were initially evaluated using a behavioral neurology approach. A team of professional clinicians classified the 75 children with dyslexia into five groups, based on parents' and teachers' reported symptoms and clinical history. These groups included children with no mathematical deficits and children with mathematical deficits in number processing, arithmetical procedures, arithmetic facts retrieval, or geometrical abilities. Subsequently, the children underwent evaluation using the MCB to determine concordance with the clinicians' impressions. Additionally, neuropsychological and cognitive standardized tests were administered. Our study reveals that within a cohort of children with dyslexia, 66% exhibit mathematical deficits, and among those with mathematical deficits, there is heterogeneity in the nature of these deficits. If these findings are confirmed in larger samples, they can potentially pave the way for new diagnostic approaches, consistent subtype classification, and, ultimately personalized interventions.
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- 2024
- Full Text
- View/download PDF
6. Proteomics profiling and machine learning in nusinersen-treated patients with spinal muscular atrophy
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Panicucci, Chiara, Sahin, Eray, Bartolucci, Martina, Casalini, Sara, Brolatti, Noemi, Pedemonte, Marina, Baratto, Serena, Pintus, Sara, Principi, Elisa, D’Amico, Adele, Pane, Marika, Sframeli, Marina, Messina, Sonia, Albamonte, Emilio, Sansone, Valeria A., Mercuri, Eugenio, Bertini, Enrico, Sezerman, Ugur, Petretto, Andrea, and Bruno, Claudio
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- 2024
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7. Targeting ubiquitination machinery in cystic fibrosis: Where do we stand?
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Okiyoneda, Tsukasa, Borgo, Christian, Bosello Travain, Valentina, Pedemonte, Nicoletta, and Salvi, Mauro
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- 2024
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8. The ARPAL atmospheric operational modeling chain and its applications: description and validation
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Sacchetti, D., Cassola, F., Corazza, M., Pedemonte, L., Tizzi, M., Drofa, O., and Davolio, S.
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- 2024
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9. Variants in the WDR44 WD40-repeat domain cause a spectrum of ciliopathy by impairing ciliogenesis initiation
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Accogli, Andrea, Shakya, Saurabh, Yang, Taewoo, Insinna, Christine, Kim, Soo Yeon, Bell, David, Butov, Kirill R., Severino, Mariasavina, Niceta, Marcello, Scala, Marcello, Lee, Hyun Sik, Yoo, Taekyeong, Stauffer, Jimmy, Zhao, Huijie, Fiorillo, Chiara, Pedemonte, Marina, Diana, Maria C., Baldassari, Simona, Zakharova, Viktoria, Shcherbina, Anna, Rodina, Yulia, Fagerberg, Christina, Roos, Laura Sønderberg, Wierzba, Jolanta, Dobosz, Artur, Gerard, Amanda, Potocki, Lorraine, Rosenfeld, Jill A., Lalani, Seema R., Scott, Tiana M., Scott, Daryl, Azamian, Mahshid S., Louie, Raymond, Moore, Hannah W., Champaigne, Neena L., Hollingsworth, Grace, Torella, Annalaura, Nigro, Vincenzo, Ploski, Rafal, Salpietro, Vincenzo, Zara, Federico, Pizzi, Simone, Chillemi, Giovanni, Ognibene, Marzia, Cooney, Erin, Do, Jenny, Linnemann, Anders, Larsen, Martin J., Specht, Suzanne, Walters, Kylie J., Choi, Hee-Jung, Choi, Murim, Tartaglia, Marco, Youkharibache, Phillippe, Chae, Jong-Hee, Capra, Valeria, Park, Sung-Gyoo, and Westlake, Christopher J.
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- 2024
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10. English perspectives on Genova and Livorno
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Pedemonte, Danilo, primary
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- 2024
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11. Towards Solving Cable-Driven Parallel Robot Inaccuracy due to Cable Elasticity.
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Adolfo Suarez-Roos, Zane Zake, Tahir Rasheed, Nicolò Pedemonte, and Stéphane Caro
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- 2024
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12. Communication for Stakeholder Leadership in the Post-pandemic Digital Era
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Pedemonte, Damián Fernández, Mayfield, Milton, Series Editor, Mayfield, Jacqueline, Series Editor, and Ndlela, Martin N., editor
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- 2024
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13. A deep learning algorithm for reducing false positives in screening mammography
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Pedemonte, Stefano, Tsue, Trevor, Mombourquette, Brent, Vu, Yen Nhi Truong, Matthews, Thomas, Hoil, Rodrigo Morales, Shah, Meet, Ghare, Nikita, Zingman-Daniels, Naomi, Holley, Susan, Appleton, Catherine M., Su, Jason, and Wahl, Richard L.
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning - Abstract
Screening mammography improves breast cancer outcomes by enabling early detection and treatment. However, false positive callbacks for additional imaging from screening exams cause unnecessary procedures, patient anxiety, and financial burden. This work demonstrates an AI algorithm that reduces false positives by identifying mammograms not suspicious for breast cancer. We trained the algorithm to determine the absence of cancer using 123,248 2D digital mammograms (6,161 cancers) and performed a retrospective study on 14,831 screening exams (1,026 cancers) from 15 US and 3 UK sites. Retrospective evaluation of the algorithm on the largest of the US sites (11,592 mammograms, 101 cancers) a) left the cancer detection rate unaffected (p=0.02, non-inferiority margin 0.25 cancers per 1000 exams), b) reduced callbacks for diagnostic exams by 31.1% compared to standard clinical readings, c) reduced benign needle biopsies by 7.4%, and d) reduced screening exams requiring radiologist interpretation by 41.6% in the simulated clinical workflow. This work lays the foundation for semi-autonomous breast cancer screening systems that could benefit patients and healthcare systems by reducing false positives, unnecessary procedures, patient anxiety, and expenses.
- Published
- 2022
14. La Unidad Popular chilena (1970-1973): balance historiográfico y nuevas perspectivas trasnacionales/Chile's Unidad Popular (1970-1973): Historiographical balance and new transnational perspectives/A Unidad Popular chilena (1970-1973): balanço historiográfico e novas perspectivas transnacionais
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Morra, Marco, Palieraki, Eugenia, and Pedemonte, Rafael
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- 2023
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15. The Introduction of Proof at the Secondary School in Cameroun: A First Approach through the Study of Quadrilaterals and Triangles in the Textbook
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Youkap, Patrick Tchonang, Ngansop, Judith Njomgang, Tieudjo, Daniel, and Pedemonte, Bettina
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The purpose of this article is to better understand how proof is introduced into the study of quadrilaterals and triangles in high school. To do this, we designed a grid to analyse mathematics textbooks in Cameroon francophone subsystems (7th Grade and 8th Grade). The Anthropological Theory of Didactics and the paradigms in geometry served as a theoretical framework for our analyses. The results of our analysis indicate that problems in the lessons section correspond to guided problems. These kinds of problems do not develop students' spirit of research and initiative. The authors of the textbook choose to teach the functioning of deductive reasoning in the 8th Grade. They choose to introduce proof in the commented exercise section rather than lessons section. The learning problems proposed in the textbooks contain drawings wish have informative function and representative function. The preponderance of drawings with a representative function that have the same shape and name observed in textbooks can contribute to the construction of constant visual models in students' minds. This could lead to the superficial use of drawings in proof tasks.
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- 2020
16. AI Explainability 360: Impact and Design
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Arya, Vijay, Bellamy, Rachel K. E., Chen, Pin-Yu, Dhurandhar, Amit, Hind, Michael, Hoffman, Samuel C., Houde, Stephanie, Liao, Q. Vera, Luss, Ronny, Mojsilovic, Aleksandra, Mourad, Sami, Pedemonte, Pablo, Raghavendra, Ramya, Richards, John, Sattigeri, Prasanna, Shanmugam, Karthikeyan, Singh, Moninder, Varshney, Kush R., Wei, Dennis, and Zhang, Yunfeng
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Computer Science - Machine Learning ,Computer Science - Artificial Intelligence - Abstract
As artificial intelligence and machine learning algorithms become increasingly prevalent in society, multiple stakeholders are calling for these algorithms to provide explanations. At the same time, these stakeholders, whether they be affected citizens, government regulators, domain experts, or system developers, have different explanation needs. To address these needs, in 2019, we created AI Explainability 360 (Arya et al. 2020), an open source software toolkit featuring ten diverse and state-of-the-art explainability methods and two evaluation metrics. This paper examines the impact of the toolkit with several case studies, statistics, and community feedback. The different ways in which users have experienced AI Explainability 360 have resulted in multiple types of impact and improvements in multiple metrics, highlighted by the adoption of the toolkit by the independent LF AI & Data Foundation. The paper also describes the flexible design of the toolkit, examples of its use, and the significant educational material and documentation available to its users., Comment: arXiv admin note: text overlap with arXiv:1909.03012
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- 2021
17. Indirect consumer inflation expectations: Theory and evidence
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Hajdini, Ina, Knotek, Edward S., II, Leer, John, Pedemonte, Mathieu, Rich, Robert, and Schoenle, Raphael
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- 2024
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18. Compound climate-pollution extremes in Santiago de Chile
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Feron, Sarah, Cordero, Raúl R., Damiani, Alessandro, Oyola, Pedro, Ansari, Tabish, Pedemonte, Juan C., Wang, Chenghao, Ouyang, Zutao, and Gallo, Valentina
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- 2023
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19. Une histoire globale des révolutions
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Palieraki, Eugénia, primary and Pedemonte, Rafael, additional
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- 2023
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20. Algorithmic Causal Effect Identification with causaleffect
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Pedemonte, Martí, Vitrià, Jordi, and Parafita, Álvaro
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Computer Science - Mathematical Software ,Computer Science - Artificial Intelligence ,Mathematics - Statistics Theory ,62D20 (Primary), 62H22 (Secondary) ,G.3 ,G.4 - Abstract
Our evolution as a species made a huge step forward when we understood the relationships between causes and effects. These associations may be trivial for some events, but they are not in complex scenarios. To rigorously prove that some occurrences are caused by others, causal theory and causal inference were formalized, introducing the $do$-operator and its associated rules. The main goal of this report is to review and implement in Python some algorithms to compute conditional and non-conditional causal queries from observational data. To this end, we first present some basic background knowledge on probability and graph theory, before introducing important results on causal theory, used in the construction of the algorithms. We then thoroughly study the identification algorithms presented by Shpitser and Pearl in 2006, explaining our implementation in Python alongside. The main identification algorithm can be seen as a repeated application of the rules of $do$-calculus, and it eventually either returns an expression for the causal query from experimental probabilities or fails to identify the causal effect, in which case the effect is non-identifiable. We introduce our newly developed Python library and give some usage examples., Comment: 40 pages, 27 figures
- Published
- 2021
21. La Unidad Popular chilena (1970-1973): balance historiográfico y nuevas perspectivas trasnacionales
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Marco Morra, Eugenia Palieraki, and Rafael Pedemonte
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chile ,“chilean road to socialism” ,historiography ,left ,transnational history ,chile’s unidad popular ,History (General) and history of Europe ,History (General) ,D1-2009 - Abstract
Objective/Context: This historiographical introduction, as well as the articles published in this special issue of Historia Crítica entitled “The Chilean Way to Socialism” from a transnational perspective, aim to highlight how this approach helps us to overcome the limitations inherited from the existing historiography on the Unidad Popular (up), which tends to adopt a national framework of analysis. Methodology: It consists of critically analyzing and summarizing the contributions of the research carried out on the up from 2003 to date. Originality and Conclusions: We found that the transnational dimension of the “1970-1973 cycle” has been absent or marginal in much of the historiography about the period. The national approach to the political process of the up is generally accompanied by the conviction about the alleged exceptionality of the “thousand days” of Allende. Based on the historiographical discussion of the present essay and the contributions of the articles in the dossier, we show that the transnational approach to the up allows its complete understanding by inserting it in a broader context than the national one. The regional approach makes it possible to demonstrate that the up is one of the numerous projects of “democratic revolution” that marked the “Inter-American Cold War,” while the global approach shows that the impact of the up was not only due to its exceptional nature but also to the resonance of the “Chilean road to socialism” project, with the long-standing debates on revolutionary paths and models of society that agitated the world political lefts throughout the twentieth and twenty-first centuries. The focus on the “peripheral spaces” of the Cold War allows us to think of the Allende government as an additional case of the successive efforts to find an alternative path to Soviet socialism and u.s. capitalism.
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- 2023
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22. De novo variants in DENND5B cause a neurodevelopmental disorder
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Acosta, Maria T., Adams, David R., Alvarez, Raquel L., Alvey, Justin, Allworth, Aimee, Andrews, Ashley, Ashley, Euan A., Afzali, Ben, Bacino, Carlos A., Bademci, Guney, Balasubramanyam, Ashok, Baldridge, Dustin, Bale, Jim, Bamshad, Michael, Barbouth, Deborah, Bayrak-Toydemir, Pinar, Beck, Anita, Beggs, Alan H., Behrens, Edward, Bejerano, Gill, Bellen, Hugo J., Bennett, Jimmy, Bernstein, Jonathan A., Berry, Gerard T., Bican, Anna, Bivona, Stephanie, Blue, Elizabeth, Bohnsack, John, Bonner, Devon, Botto, Lorenzo, Briere, Lauren C., Brown, Gabrielle, Burke, Elizabeth A., Burrage, Lindsay C., Butte, Manish J., Byers, Peter, Byrd, William E., Carey, John, Carrasquillo, Olveen, Cassini, Thomas, Chang, Ta Chen Peter, Chanprasert, Sirisak, Chao, HsiaoTuan, Chinn, Ivan, Clark, Gary D., Coakley, Terra R., Cobban, Laurel A., Cogan, Joy D., Coggins, Matthew, Cole, F. Sessions, Colley, Heather A., Cope, Heidi, Corona, Rosario, Craigen, William J., Crouse, Andrew B., Cunningham, Michael, D’Souza, Precilla, Dai, Hongzheng, Dasari, Surendra, Davis, Joie, Dayal, Jyoti G., Delgado, Margaret, Dell'Angelica, Esteban C., Dipple, Katrina, Doherty, Daniel, Dorrani, Naghmeh, Doss, Argenia L., Douine, Emilie D., Earl, Dawn, Eckstein, David J., Emrick, Lisa T., Eng, Christine M., Falk, Marni, Fieg, Elizabeth L., Fisher, Paul G., Fogel, Brent L., Forghani, Irman, Fu, Jiayu, Gahl, William A., Glass, Ian, Goddard, Page C., Godfrey, Rena A., Grajewski, Alana, Gropman, Andrea, Halley, Meghan C., Hamid, Rizwan, Hanchard, Neal, Hassey, Kelly, Hayes, Nichole, High, Frances, Hing, Anne, Hisama, Fuki M., Holm, Ingrid A., Hom, Jason, Horike-Pyne, Martha, Huang, Alden, Huang, Yan, Hutchison, Sarah, Introne, Wendy, Isasi, Rosario, Izumi, Kosuke, Jarvik, Gail P., Jarvik, Jeffrey, Jayadev, Suman, Jean-Marie, Orpa, Jobanputra, Vaidehi, Kaitryn, Emerald, Ketkar, Shamika, Kiley, Dana, Kilich, Gonench, Kobren, Shilpa N., Kohane, Isaac S., Kohler, Jennefer N., Korrick, Susan, Krakow, Deborah, Krasnewich, Donna M., Kravets, Elijah, Lalani, Seema R., Lam, Byron, Lam, Christina, Lanpher, Brendan C., Lanza, Ian R., LeBlanc, Kimberly, Lee, Brendan H., Levitt, Roy, Lewis, Richard A., Liu, Pengfei, Liu, Xue Zhong, Longo, Nicola, Loo, Sandra K., Loscalzo, Joseph, Maas, Richard L., Macnamara, Ellen F., MacRae, Calum A., Maduro, Valerie V., Maghiro, AudreyStephannie, Mahoney, Rachel, Malicdan, May Christine V., Mamounas, Laura A., Manolio, Teri A., Mao, Rong, Marom, Ronit, Marth, Gabor, Martin, Beth A., Martin, Martin G., Martínez-Agosto, Julian A., Marwaha, Shruti, McCauley, Jacob, McConkie-Rosell, Allyn, McCray, Alexa T., McGee, Elisabeth, Might, Matthew, Miller, Danny, Mirzaa, Ghayda, Morava, Eva, Moretti, Paolo, Morimoto, Marie, Mulvihill, John J., Nakano-Okuno, Mariko, Nelson, Stanley F., Nieves-Rodriguez, Shirley, Novacic, Donna, Oglesbee, Devin, Orengo, James P., Pace, Laura, Pak, Stephen, Pallais, J. Carl, Papp, Jeanette C., Parker, Neil H., Petcharet, Leoyklang, Phillips, John A., III, Posey, Jennifer E., Potocki, Lorraine, Swerdzewski, Barbara N. Pusey, Quinlan, Aaron, Rao, Deepak A., Raper, Anna, Raskind, Wendy, Renteria, Genecee, Reuter, Chloe M., Rives, Lynette, Robertson, Amy K., Rodan, Lance H., Rosenfeld, Jill A., Rosenthal, Elizabeth, Rossignol, Francis, Ruzhnikov, Maura, Sabaii, Marla, Sacco, Ralph, Sampson, Jacinda B., Saporta, Mario, Schaechter, Judy, Schedl, Timothy, Schoch, Kelly, Scott, Daryl A., Seto, Elaine, Sharma, Prashant, Shashi, Vandana, Shelkowitz, Emily, Sheppeard, Sam, Shin, Jimann, Silverman, Edwin K., Sinsheimer, Janet S., Sisco, Kathy, Smith, Edward C., Smith, Kevin S., Solnica-Krezel, Lilianna, Solomon, Ben, Spillmann, Rebecca C., Stergachis, Andrew, Stoler, Joan M., Sullivan, Kathleen, Sullivan, Jennifer A., Sutton, Shirley, Sweetser, David A., Sybert, Virginia, Tabor, Holly K., Tan, Queenie K.-G., Tan, Amelia L.M., Tarakad, Arjun, Taylor, Herman, Tekin, Mustafa, Telischi, Fred, Thorson, Willa, Tifft, Cynthia J., Toro, Camilo, Tran, Alyssa A., Ungar, Rachel A., Urv, Tiina K., Vanderver, Adeline, Velinder, Matt, Viskochil, Dave, Vogel, Tiphanie P., Wahl, Colleen E., Walker, Melissa, Walley, Nicole M., Wambach, Jennifer, Wan, Jijun, Wang, Lee-kai, Wangler, Michael F., Ward, Patricia A., Wegner, Daniel, Weisz Hubshman, Monika, Wener, Mark, Wenger, Tara, Westerfield, Monte, Wheeler, Matthew T., Whitlock, Jordan, Wolfe, Lynne A., Worley, Kim, Yamamoto, Shinya, Zhang, Zhe, Zuchner, Stephan, Scala, Marcello, Tomati, Valeria, Ferla, Matteo, Lena, Mariateresa, Cohen, Julie S., Fatemi, Ali, Brokamp, Elly, Koziura, Mary E., Nicouleau, Michael, Rio, Marlene, Siquier, Karine, Boddaert, Nathalie, Musante, Ilaria, Tamburro, Serena, Baldassari, Simona, Iacomino, Michele, Scudieri, Paolo, Bellus, Gary, Reed, Sara, Al Saif, Hind, Russo, Rossana Sanchez, Walsh, Matthew B., Cantagrel, Vincent, Crunk, Amy, Gustincich, Stefano, Ruggiero, Sarah M., Fitzgerald, Mark P., Helbig, Ingo, Striano, Pasquale, Severino, Mariasavina, Salpietro, Vincenzo, Pedemonte, Nicoletta, and Zara, Federico
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- 2024
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23. Trajectory-based Metaheuristics for Improving Sparse Matrix Storage.
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Manuel Freire 0002, Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti, and Martín Pedemonte
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- 2023
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24. Does Kaizen Programming need a physic-informed mechanism to improve the search?
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Jimena Ferreira, Ana Inés Torres, and Martín Pedemonte
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- 2023
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25. Constant Distance and Orientation Following of an Unknown Surface with a Cable-Driven Parallel Robot.
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Thomas Rousseau, Nicolò Pedemonte, Stéphane Caro, and François Chaumette
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- 2023
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26. Abductive Arguments Supporting Students’ Construction of Proofs
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Pedemonte, Bettina, Rivera, Ferdinand, Section editor, and Magnani, Lorenzo, editor
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- 2023
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27. Elasto-Static Model and Accuracy Analysis of a Large Deployable Cable-Driven Parallel Robot
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Zaķe, Zane, Pedemonte, Nicolò, Moriniere, Boris, Suarez Roos, Adolfo, Caro, Stéphane, Ceccarelli, Marco, Series Editor, Agrawal, Sunil K., Advisory Editor, Corves, Burkhard, Advisory Editor, Glazunov, Victor, Advisory Editor, Hernández, Alfonso, Advisory Editor, Huang, Tian, Advisory Editor, Jauregui Correa, Juan Carlos, Advisory Editor, Takeda, Yukio, Advisory Editor, Caro, Stéphane, editor, Pott, Andreas, editor, and Bruckmann, Tobias, editor
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- 2023
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28. Stability Analysis of Profile Following by a CDPR Using Distance and Vision Sensors
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Rousseau, Thomas, Pedemonte, Nicolò, Caro, Stéphane, Chaumette, François, Ceccarelli, Marco, Series Editor, Agrawal, Sunil K., Advisory Editor, Corves, Burkhard, Advisory Editor, Glazunov, Victor, Advisory Editor, Hernández, Alfonso, Advisory Editor, Huang, Tian, Advisory Editor, Jauregui Correa, Juan Carlos, Advisory Editor, Takeda, Yukio, Advisory Editor, Caro, Stéphane, editor, Pott, Andreas, editor, and Bruckmann, Tobias, editor
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- 2023
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29. Cooperative Use of Autonomous Systems to Monitor Toxic Industrial Materials and Face Accidents & Contamination Crises
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Bruzzone, Agostino G., Vairo, Tommaso, Cepolina, Elvezia Maria, Massei, Marina, De Paoli, Alberto, Ferrari, Roberto, Giovannetti, Antonio, Pedemonte, Massimo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Mazal, Jan, editor, Fagiolini, Adriano, editor, Vašík, Petr, editor, Bruzzone, Agostino, editor, Pickl, Stefan, editor, Neumann, Vlastimil, editor, Stodola, Petr, editor, and Lo Storto, Stefano, editor
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- 2023
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30. The Effects of Interest Rate Increases on Consumers' Inflation Expectations: The Roles of Informedness and Compliance
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Knotek, Edward S., primary, Mitchell, James, additional, Pedemonte, Mathieu O., additional, and Shiroff, Taylor, additional
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- 2024
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31. A Kaizen Programming algorithm for multi-output regression based on a heterogeneous island model
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Ferreira, Jimena, Torres, Ana Inés, and Pedemonte, Martín
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- 2023
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32. Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis
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Singh, Sadanand, Matthews, Thomas Paul, Shah, Meet, Mombourquette, Brent, Tsue, Trevor, Long, Aaron, Almohsen, Ranya, Pedemonte, Stefano, and Su, Jason
- Subjects
Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning ,Electrical Engineering and Systems Science - Image and Video Processing - Abstract
Mammography-based screening has helped reduce the breast cancer mortality rate, but has also been associated with potential harms due to low specificity, leading to unnecessary exams or procedures, and low sensitivity. Digital breast tomosynthesis (DBT) improves on conventional mammography by increasing both sensitivity and specificity and is becoming common in clinical settings. However, deep learning (DL) models have been developed mainly on conventional 2D full-field digital mammography (FFDM) or scanned film images. Due to a lack of large annotated DBT datasets, it is difficult to train a model on DBT from scratch. In this work, we present methods to generalize a model trained on FFDM images to DBT images. In particular, we use average histogram matching (HM) and DL fine-tuning methods to generalize a FFDM model to the 2D maximum intensity projection (MIP) of DBT images. In the proposed approach, the differences between the FFDM and DBT domains are reduced via HM and then the base model, which was trained on abundant FFDM images, is fine-tuned. When evaluating on image patches extracted around identified findings, we are able to achieve similar areas under the receiver operating characteristic curve (ROC AUC) of $\sim 0.9$ for FFDM and $\sim 0.85$ for MIP images, as compared to a ROC AUC of $\sim 0.75$ when tested directly on MIP images., Comment: SPIE Medical Imaging 2020
- Published
- 2020
33. A Hypersensitive Breast Cancer Detector
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Pedemonte, Stefano, Mombourquette, Brent, Goh, Alexis, Tsue, Trevor, Long, Aaron, Singh, Sadanand, Matthews, Thomas Paul, Shah, Meet, and Su, Jason
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning ,Electrical Engineering and Systems Science - Image and Video Processing - Abstract
Early detection of breast cancer through screening mammography yields a 20-35% increase in survival rate; however, there are not enough radiologists to serve the growing population of women seeking screening mammography. Although commercial computer aided detection (CADe) software has been available to radiologists for decades, it has failed to improve the interpretation of full-field digital mammography (FFDM) images due to its low sensitivity over the spectrum of findings. In this work, we leverage a large set of FFDM images with loose bounding boxes of mammographically significant findings to train a deep learning detector with extreme sensitivity. Building upon work from the Hourglass architecture, we train a model that produces segmentation-like images with high spatial resolution, with the aim of producing 2D Gaussian blobs centered on ground-truth boxes. We replace the pixel-wise $L_2$ norm with a weak-supervision loss designed to achieve high sensitivity, asymmetrically penalizing false positives and false negatives while softening the noise of the loose bounding boxes by permitting a tolerance in misaligned predictions. The resulting system achieves a sensitivity for malignant findings of 0.99 with only 4.8 false positive markers per image. When utilized in a CADe system, this model could enable a novel workflow where radiologists can focus their attention with trust on only the locations proposed by the model, expediting the interpretation process and bringing attention to potential findings that could otherwise have been missed. Due to its nearly perfect sensitivity, the proposed detector can also be used as a high-performance proposal generator in two-stage detection systems., Comment: SPIE Medical Imaging 2020
- Published
- 2020
34. A Multi-site Study of a Breast Density Deep Learning Model for Full-field Digital Mammography Images and Synthetic Mammography Images
- Author
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Matthews, Thomas P., Singh, Sadanand, Mombourquette, Brent, Su, Jason, Shah, Meet P., Pedemonte, Stefano, Long, Aaron, Maffit, David, Gurney, Jenny, Hoil, Rodrigo Morales, Ghare, Nikita, Smith, Douglas, Moore, Stephen M., Marks, Susan C., and Wahl, Richard L.
- Subjects
Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning ,68T45 ,I.5.4 ,J.3 ,I.2.10 ,I.4.8 - Abstract
Purpose: To develop a Breast Imaging Reporting and Data System (BI-RADS) breast density deep learning (DL) model in a multi-site setting for synthetic two-dimensional mammography (SM) images derived from digital breast tomosynthesis exams using full-field digital mammography (FFDM) images and limited SM data. Materials and Methods: A DL model was trained to predict BI-RADS breast density using FFDM images acquired from 2008 to 2017 (Site 1: 57492 patients, 187627 exams, 750752 images) for this retrospective study. The FFDM model was evaluated using SM datasets from two institutions (Site 1: 3842 patients, 3866 exams, 14472 images, acquired from 2016 to 2017; Site 2: 7557 patients, 16283 exams, 63973 images, 2015 to 2019). Each of the three datasets were then split into training, validation, and test datasets. Adaptation methods were investigated to improve performance on the SM datasets and the effect of dataset size on each adaptation method is considered. Statistical significance was assessed using confidence intervals (CI), estimated by bootstrapping. Results: Without adaptation, the model demonstrated substantial agreement with the original reporting radiologists for all three datasets (Site 1 FFDM: linearly-weighted $\kappa_w$ = 0.75 [95% CI: 0.74, 0.76]; Site 1 SM: $\kappa_w$ = 0.71 [95% CI: 0.64, 0.78]; Site 2 SM: $\kappa_w$ = 0.72 [95% CI: 0.70, 0.75]). With adaptation, performance improved for Site 2 (Site 1: $\kappa_w$ = 0.72 [95% CI: 0.66, 0.79], 0.71 vs 0.72, P = .80; Site 2: $\kappa_w$ = 0.79 [95% CI: 0.76, 0.81], 0.72 vs 0.79, P $<$ .001) using only 500 SM images from that site. Conclusion: A BI-RADS breast density DL model demonstrated strong performance on FFDM and SM images from two institutions without training on SM images and improved using few SM images.
- Published
- 2020
35. Robust 2 1/2D Visual Servoing of a Cable-Driven Parallel Robot Thanks to Trajectory Tracking
- Author
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Zake, Zane, Chaumette, François, Pedemonte, Nicolò, and Caro, Stéphane
- Subjects
Computer Science - Robotics - Abstract
Cable-Driven Parallel Robots (CDPRs) are a kind of parallel robots that have cables instead of rigid links. Implementing vision-based control on CDPRs leads to a good final accuracy despite modeling errors and other perturbations in the system. However, unlike final accuracy, the trajectory to the goal can be affected by the perturbations in the system. This paper proposes the use of trajectory tracking to improve the robustness of 2 1/2 D visual servoing control of CDPRs. Lyapunov stability analysis is performed and, as a result, a novel workspace, named control stability workspace, is defined. This workspace defines the set of moving-platform poses where the robot is able to execute its task while being stable. The improvement of robustness is clearly shown in experimental validation., Comment: IEEE Robotics and Automation Letters, IEEE In press
- Published
- 2020
- Full Text
- View/download PDF
36. Past, present, and future of sleep medicine research in Latin America.
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Pedemonte, Marisa, Brockmann, Pablo, DelRosso, Lourdes, and Andersen, Monica
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Latin America research ,future research perspectives ,recent advances ,sleep ,Animals ,Humans ,Latin America ,Sleep - Abstract
Sleep medicine is a relatively young field with exponential growth in development and research in the last decades. Parallel to the advances in the United States, Latin America also had its beginnings in sleep medicine housed in neuroscience laboratories. Since the very first Latin American meeting in 1985, and the first sleep society in 1993, sleep research has undergone significant development in subsequent years. From contributions in animal research that allowed understanding of the activity of the brain during sleep to the studies that improved our knowledge of sleep disorders in humans, Latin America has become a scientific hub for expansion of sleep research. In this article, we present a historical account of the development of sleep medicine in Latin America, the current state of education and the achievements in research throughout history, and the latest advances in the trending areas of sleep science and medicine. These findings were presented during World Sleep Society meeting in Vancouver in 2019 and complement the work on sleep societies and training published by Vizcarra-Escobar et al in their article Sleep societies and sleep training programs in Latin America (J Clin Sleep Med. 2020;16(6):983-988).
- Published
- 2021
37. Milk fatty acid profile from grass feeding strategies on 2 Holstein genotypes: Implications for health and technological properties
- Author
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N. Techeira, K. Keel, A. Garay, F. Harte, A. Mendoza, A. Cartaya, S. Fariña, and T. López-Pedemonte
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Dairy processing. Dairy products ,SF250.5-275 - Abstract
The objective of the study was to determine if a feeding system with a variable supply of grass promoted rapid changes in the fatty acid profile and technological and health indices of milk obtained from North American (NAHF) and New Zealand (NZHF) Holstein-Friesian cows. Two feeding strategies were conducted: fixed grass (GFix) and maximized grass intake when available (GMax). The results showed that as the grass intake increased in the GMax treatments, the relative amount of palmitic acid in milk decreased, whereas oleic, linoleic, linolenic, and conjugated linoleic acids increased, causing a reduction in the atherogenic, thrombogenic, and spreadability calculated indices. The changes occurred in rapid response to the changing diet, with reductions ranging from approximately 5 to 15% in the healthy and technological indices within a period of 15 d of grass intake increase. Differences were found between the 2 genotypes, with NZHF responding faster to changes in grass intake.
- Published
- 2023
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- View/download PDF
38. Compound climate-pollution extremes in Santiago de Chile
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Sarah Feron, Raúl R. Cordero, Alessandro Damiani, Pedro Oyola, Tabish Ansari, Juan C. Pedemonte, Chenghao Wang, Zutao Ouyang, and Valentina Gallo
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Medicine ,Science - Abstract
Abstract Cities in the global south face dire climate impacts. It is in socioeconomically marginalized urban communities of the global south that the effects of climate change are felt most deeply. Santiago de Chile, a major mid-latitude Andean city of 7.7 million inhabitants, is already undergoing the so-called “climate penalty” as rising temperatures worsen the effects of endemic ground-level ozone pollution. As many cities in the global south, Santiago is highly segregated along socioeconomic lines, which offers an opportunity for studying the effects of concurrent heatwaves and ozone episodes on distinct zones of affluence and deprivation. Here, we combine existing datasets of social indicators and climate-sensitive health risks with weather and air quality observations to study the response to compound heat-ozone extremes of different socioeconomic strata. Attributable to spatial variations in the ground-level ozone burden (heavier for wealthy communities), we found that the mortality response to extreme heat (and the associated further ozone pollution) is stronger in affluent dwellers, regardless of comorbidities and lack of access to health care affecting disadvantaged population. These unexpected findings underline the need of a site-specific hazard assessment and a community-based risk management.
- Published
- 2023
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39. Monitoring influenza and respiratory syncytial virus in wastewater. Beyond COVID-19
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Toribio-Avedillo, Daniel, Gómez-Gómez, Clara, Sala-Comorera, Laura, Rodríguez-Rubio, Lorena, Carcereny, Albert, García-Pedemonte, David, Pintó, Rosa Maria, Guix, Susana, Galofré, Belén, Bosch, Albert, Merino, Susana, and Muniesa, Maite
- Published
- 2023
- Full Text
- View/download PDF
40. The Survey of Firms' Inflation Expectations
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Garciga, Christian, Knotek, Edward S., II, Pedemonte, Mathieu, and Shiroff, Taylor
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Executives -- Surveys -- Beliefs, opinions and attitudes ,Inflation (Finance) -- Surveys -- Forecasts and trends -- United States ,Market trend/market analysis ,Banking, finance and accounting industries ,Business, general ,Business ,Economics - Abstract
The inflation expectations of individuals who lead firms can influence the prices that their firms charge customers and hence can influence overall inflation. This Economic Commentary summarizes results from the Survey of Firms' Inflation Expectations (SoFIE), which asks top business executives for their inflation expectations once per quarter alongside a second question from a rotating set. We document that this group's inflation expectations increased with the run-up in inflation over 2021 and 2022 but then began to decline in early 2023. The Cleveland Fed will post estimates from the Survey of Firms' Inflation Expectations each quarter, available via clefed.org/SoFIE., Because it would be costly for firms to adjust their prices at every moment in time based on current economic conditions, most macroeconomic models posit that firms change their prices [...]
- Published
- 2023
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41. The impact of ancient Mesoamerican cities on long-term environmental sustainability: the view from historical ecology
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Ricardo Antorcha-Pedemonte, Tlacaelel Rivera-Núñez, and Lane F. Fargher-Navarro
- Subjects
sustainability ,resilience ,biodiversity ,urbanism ,Mesoamerica ,Maya lowlands ,Evolution ,QH359-425 ,Ecology ,QH540-549.5 - Abstract
The impact of ancient urban occupations on sustainability has recently become a topic of interest for archaeologists as well as many other scholars. Much of this archaeological research has focused on documenting the longevity of ancient cities and elucidating the social and economic strategies employed at the urban and regional scales to promote urban sustainability. In this article, we add to this discussion by addressing the issue of sustainability by considering the impact of environmental legacies left by ancient cities after their abandonment. Using a series of cases from pre-Hispanic Mesoamerica [OMYK (Coba), Kiuic, Lagunas de Yalahau, and Tlaxcallan], we show through ethnoecological and historical ecological research that in some cases pre-Hispanic people, living in urban zones, affected “intermediate” disturbances that increased biodiversity, biomass, and sustainability by creating second natures that have endured for centuries.
- Published
- 2023
- Full Text
- View/download PDF
42. One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques
- Author
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Arya, Vijay, Bellamy, Rachel K. E., Chen, Pin-Yu, Dhurandhar, Amit, Hind, Michael, Hoffman, Samuel C., Houde, Stephanie, Liao, Q. Vera, Luss, Ronny, Mojsilović, Aleksandra, Mourad, Sami, Pedemonte, Pablo, Raghavendra, Ramya, Richards, John, Sattigeri, Prasanna, Shanmugam, Karthikeyan, Singh, Moninder, Varshney, Kush R., Wei, Dennis, and Zhang, Yunfeng
- Subjects
Computer Science - Artificial Intelligence ,Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Human-Computer Interaction ,Statistics - Machine Learning - Abstract
As artificial intelligence and machine learning algorithms make further inroads into society, calls are increasing from multiple stakeholders for these algorithms to explain their outputs. At the same time, these stakeholders, whether they be affected citizens, government regulators, domain experts, or system developers, present different requirements for explanations. Toward addressing these needs, we introduce AI Explainability 360 (http://aix360.mybluemix.net/), an open-source software toolkit featuring eight diverse and state-of-the-art explainability methods and two evaluation metrics. Equally important, we provide a taxonomy to help entities requiring explanations to navigate the space of explanation methods, not only those in the toolkit but also in the broader literature on explainability. For data scientists and other users of the toolkit, we have implemented an extensible software architecture that organizes methods according to their place in the AI modeling pipeline. We also discuss enhancements to bring research innovations closer to consumers of explanations, ranging from simplified, more accessible versions of algorithms, to tutorials and an interactive web demo to introduce AI explainability to different audiences and application domains. Together, our toolkit and taxonomy can help identify gaps where more explainability methods are needed and provide a platform to incorporate them as they are developed.
- Published
- 2019
43. Genotype–phenotype correlations and disease mechanisms in PEX13-related Zellweger spectrum disorders
- Author
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Paola Borgia, Simona Baldassari, Nicoletta Pedemonte, Ebba Alkhunaizi, Gianluca D’Onofrio, Domenico Tortora, Elisa Calì, Paolo Scudieri, Ganna Balagura, Ilaria Musante, Maria Cristina Diana, Marina Pedemonte, Maria Stella Vari, Michele Iacomino, Antonella Riva, Roberto Chimenz, Giuseppe D. Mangano, Mohammad Hasan Mohammadi, Mehran Beiraghi Toosi, Farah Ashrafzadeh, Shima Imannezhad, Ehsan Ghayoor Karimiani, Andrea Accogli, Maria Cristina Schiaffino, Mohamad Maghnie, Miguel Angel Soler, Karl Echiverri, Charles K. Abrams, Pasquale Striano, Sara Fortuna, Reza Maroofian, Henry Houlden, Federico Zara, Chiara Fiorillo, and Vincenzo Salpietro
- Subjects
Peroxisome biogenesis disorders ,Zellweger spectrum disorder ,PEX13 ,mitochondrial dysfunction ,Medicine - Abstract
Abstract Background Pathogenic variants in PEX-genes can affect peroxisome assembly and function and cause Zellweger spectrum disorders (ZSDs), characterized by variable phenotypes in terms of disease severity, age of onset and clinical presentations. So far, defects in at least 15 PEX-genes have been implicated in Mendelian diseases, but in some of the ultra-rare ZSD subtypes genotype–phenotype correlations and disease mechanisms remain elusive. Methods We report five families carrying biallelic variants in PEX13. The identified variants were initially evaluated by using a combination of computational approaches. Immunofluorescence and complementation studies on patient-derived fibroblasts were performed in two patients to investigate the cellular impact of the identified mutations. Results Three out of five families carried a recurrent p.Arg294Trp non-synonymous variant. Individuals affected with PEX13-related ZSD presented heterogeneous clinical features, including hypotonia, developmental regression, hearing/vision impairment, progressive spasticity and brain leukodystrophy. Computational predictions highlighted the involvement of the Arg294 residue in PEX13 homodimerization, and the analysis of blind docking predicted that the p.Arg294Trp variant alters the formation of dimers, impairing the stability of the PEX13/PEX14 translocation module. Studies on muscle tissues and patient-derived fibroblasts revealed biochemical alterations of mitochondrial function and identified mislocalized mitochondria and a reduced number of peroxisomes with abnormal PEX13 concentration. Conclusions This study expands the phenotypic and mutational spectrum of PEX13-related ZSDs and also highlight a variety of disease mechanisms contributing to PEX13-related clinical phenotypes, including the emerging contribution of secondary mitochondrial dysfunction to the pathophysiology of ZSDs.
- Published
- 2022
- Full Text
- View/download PDF
44. Generating Dialogue Agents via Automated Planning
- Author
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Botea, Adi, Muise, Christian, Agarwal, Shubham, Alkan, Oznur, Bajgar, Ondrej, Daly, Elizabeth, Kishimoto, Akihiro, Lastras, Luis, Marinescu, Radu, Ondrej, Josef, Pedemonte, Pablo, and Vodolan, Miroslav
- Subjects
Computer Science - Artificial Intelligence - Abstract
Dialogue systems have many applications such as customer support or question answering. Typically they have been limited to shallow single turn interactions. However more advanced applications such as career coaching or planning a trip require a much more complex multi-turn dialogue. Current limitations of conversational systems have made it difficult to support applications that require personalization, customization and context dependent interactions. We tackle this challenging problem by using domain-independent AI planning to automatically create dialogue plans, customized to guide a dialogue towards achieving a given goal. The input includes a library of atomic dialogue actions, an initial state of the dialogue, and a goal. Dialogue plans are plugged into a dialogue system capable to orchestrate their execution. Use cases demonstrate the viability of the approach. Our work on dialogue planning has been integrated into a product, and it is in the process of being deployed into another., Comment: Accepted at the AAAI-2019 DEEP-DIAL workshop
- Published
- 2019
45. Genetic modifiers of respiratory function in Duchenne muscular dystrophy.
- Author
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Bello, Luca, DAngelo, Grazia, Villa, Matteo, Fusto, Aurora, Vianello, Sara, Merlo, Beatrice, Sabbatini, Daniele, Barp, Andrea, Gandossini, Sandra, Magri, Francesca, Comi, Giacomo, Pedemonte, Marina, Tacchetti, Paola, Lanzillotta, Valentina, Trucco, Federica, DAmico, Adele, Bertini, Enrico, Astrea, Guja, Politano, Luisa, Masson, Riccardo, Baranello, Giovanni, Albamonte, Emilio, De Mattia, Elisa, Rao, Fabrizio, Sansone, Valeria, Previtali, Stefano, Messina, Sonia, Vita, Gian, Berardinelli, Angela, Mongini, Tiziana, Pini, Antonella, Pane, Marika, Mercuri, Eugenio, Vianello, Andrea, Bruno, Claudio, Hoffman, Eric, Morgenroth, Lauren, Gordish-Dressman, Heather, Pegoraro, Elena, and McDonald, Craig
- Subjects
Adolescent ,Adult ,CD40 Antigens ,Child ,Child ,Preschool ,Dystrophin ,Follow-Up Studies ,Glucocorticoids ,Humans ,Male ,Muscular Dystrophy ,Duchenne ,Osteopontin ,Respiratory Function Tests ,Respiratory Insufficiency ,Retrospective Studies ,Vital Capacity ,Young Adult - Abstract
OBJECTIVE: Respiratory insufficiency is a major complication of Duchenne muscular dystrophy (DMD). Its progression shows considerable interindividual variability, which has been less thoroughly characterized and understood than in skeletal muscle. We collected pulmonary function testing (PFT) data from a large retrospective cohort followed at Centers collaborating in the Italian DMD Network. Furthermore, we analyzed PFT associations with different DMD mutation types, and with genetic variants in SPP1, LTBP4, CD40, and ACTN3, known to modify skeletal muscle weakness in DMD. Genetic association findings were independently validated in the Cooperative International Neuromuscular Research Group Duchenne Natural History Study (CINRG-DNHS). METHODS AND RESULTS: Generalized estimating equation analysis of 1852 PFTs from 327 Italian DMD patients, over an average follow-up time of 4.5 years, estimated that forced vital capacity (FVC) declined yearly by -4.2%, forced expiratory volume in 1 sec by -5.0%, and peak expiratory flow (PEF) by -2.9%. Glucocorticoid (GC) treatment was associated with higher values of all PFT measures (approximately + 15% across disease stages). Mutations situated 3 of DMD intron 44, thus predicted to alter the expression of short dystrophin isoforms, were associated with lower (approximately -6%) PFT values, a finding independently validated in the CINRG-DNHS. Deletions amenable to skipping of exon 51 and 53 were independently associated with worse PFT outcomes. A meta-analysis of the two cohorts identified detrimental effects of SPP1 rs28357094 and CD40 rs1883832 minor alleles on both FVC and PEF. INTERPRETATION: These findings support GC efficacy in delaying respiratory insufficiency, and will be useful for the design and interpretation of clinical trials focused on respiratory endpoints in DMD.
- Published
- 2020
46. Inflation expectations as a policy tool?
- Author
-
Coibion, Olivier, Gorodnichenko, Yuriy, Kumar, Saten, and Pedemonte, Mathieu
- Subjects
Survey ,Inflation expectations ,Firms ,Managers ,E31 ,C83 ,D84 ,survey ,inflation expectations ,firms ,managers ,Economics - Abstract
We assess the prospects for central banks using inflation expectations as a policy tool for stabilization purposes. We review recent work on how expectations of agents are formed and how they affect their economic decisions. Empirical evidence suggests that inflation expectations of households and firms affect their actions but the underlying mechanisms remain unclear, especially for firms. Two additional limitations prevent policy-makers from being able to actively manage inflation expectations. First, available surveys of firms' expectations are systematically deficient, which can only be addressed through the creation of large, nationally representative surveys of firms. Second, neither households' nor firms' expectations respond much to monetary policy announcements in low-inflation environments. We provide suggestions for how monetary policy-makers could pierce this veil of inattention through new communication strategies as well as the potential pitfalls to trying to do so.
- Published
- 2020
47. Inflation expectations as a policy tool?
- Author
-
Coibion, O, Gorodnichenko, Y, Kumar, S, and Pedemonte, M
- Subjects
Survey ,Inflation expectations ,Firms ,Managers ,E31 ,C83 ,D84 ,survey ,inflation expectations ,firms ,managers ,Economics - Abstract
We assess the prospects for central banks using inflation expectations as a policy tool for stabilization purposes. We review recent work on how expectations of agents are formed and how they affect their economic decisions. Empirical evidence suggests that inflation expectations of households and firms affect their actions but the underlying mechanisms remain unclear, especially for firms. Two additional limitations prevent policy-makers from being able to actively manage inflation expectations. First, available surveys of firms' expectations are systematically deficient, which can only be addressed through the creation of large, nationally representative surveys of firms. Second, neither households' nor firms' expectations respond much to monetary policy announcements in low-inflation environments. We provide suggestions for how monetary policy-makers could pierce this veil of inattention through new communication strategies as well as the potential pitfalls to trying to do so.
- Published
- 2020
48. The Expectations of Others
- Author
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Garcia-Lembergman, Ezequiel, primary, Hajdini, Ina, additional, Leer, John, additional, Pedemonte, Mathieu O., additional, and Schoenle, Raphael S., additional
- Published
- 2023
- Full Text
- View/download PDF
49. Onasemnogene abeparvovec in spinal muscular atrophy: predictors of efficacy and safety in naïve patients with spinal muscular atrophy and following switch from other therapies
- Author
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Pera, Maria Carmela, Bravetti, Chiara, Piastra, Marco, Genovese, Orazio, Cicala, Gianpaolo, Forcina, Nicola, Carnicella, Sara, Stanca, Giulia, Sacchini, Michele, Catteruccia, Michela, Tosi, Michele, Cutrera, Renato, Cherchi, Claudio, Chiarini, Maria Beatrice, Salmin, Francesca, Pedemonte, Marina, Govoni, Alessandra, Mizzoni, Irene, Morando, Simone, Zanin, Riccardo, Rolle, Enrica, Salomon, Eleonora, Giannotta, Melania, Scarpini, Gaia, Toscano, Antonio, Gitto, Eloisa, Materia, Roberto, D’Alessandro, Rossella, Pane, Marika, Berti, Beatrice, Capasso, Anna, Coratti, Giorgia, Varone, Antonio, D’Amico, Adele, Messina, Sonia, Masson, Riccardo, Sansone, Valeria Ada, Donati, Maria Alice, Agosto, Caterina, Bruno, Claudio, Ricci, Federica, Pini, Antonella, Gagliardi, Delio, Filosto, Massimiliano, Corti, Stefania, Leone, Daniela, Palermo, Concetta, Onesimo, Roberta, De Sanctis, Roberto, Ricci, Martina, Bitetti, Ilaria, Sframeli, Maria, Dosi, Claudia, Albamonte, Emilio, Ticci, Chiara, Brolatti, Noemi, Bertini, Enrico, Finkel, Richard, and Mercuri, Eugenio
- Published
- 2023
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50. Rescue by elexacaftor-tezacaftor-ivacaftor of the G1244E cystic fibrosis mutation's stability and gating defects are dependent on cell background
- Author
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Tomati, Valeria, Costa, Stefano, Capurro, Valeria, Pesce, Emanuela, Pastorino, Cristina, Lena, Mariateresa, Sondo, Elvira, Di Duca, Marco, Cresta, Federico, Cristadoro, Simona, Zara, Federico, Galietta, Luis J.V., Bocciardi, Renata, Castellani, Carlo, Lucanto, Maria Cristina, and Pedemonte, Nicoletta
- Published
- 2023
- Full Text
- View/download PDF
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