Zobrazeno 1 - 10
of 1 660
pro vyhledávání: '"P. Matarazzo"'
Autor:
Daniela A. Ayala, Anthony Matarazzo, Bonnie L. Seaberg, Misha Patel, Eliana Tijerina, Camryn Matthews, Gabriel Bizi, Ashton Brown, Alan Ta, Mendell Rimer, Rahul Srinivasan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Astrocytes display context-specific diversity in their functions and respond to noxious stimuli between brain regions. Astrocytic mitochondria have emerged as key players in governing astrocytic functional heterogeneity, given their ability
Externí odkaz:
https://doaj.org/article/9ac9ed9c69f24684b74fabd580afc44f
Autor:
Carla Zarbà, Alessandro Scuderi, Agata Matarazzo, Donatella Privitera, Biagio Pecorino, Gaetano Chinnici
Publikováno v:
Journal of Agriculture and Food Research, Vol 18, Iss , Pp 101407- (2024)
The food chain has been confronting diverse limits and challenges. Indeed, the increase in level of environmental pollution, in resource scarcity, in biodiversity loss represents some limits, while guaranteeing the food security of a growing populati
Externí odkaz:
https://doaj.org/article/d6a1ca21e1614bad895b91e4f1c6260b
Publikováno v:
American Journal of Ophthalmology Case Reports, Vol 36, Iss , Pp 102120- (2024)
Purpose: This case report delineates the intricacies and challenges encountered in cataract surgery in Ehlers-Danlos syndrome type VI presenting with advanced Keratoglobus (KG), severe cataract and brittle cornea. Observations: Despite meticulous pla
Externí odkaz:
https://doaj.org/article/11229c17c986467eacfbf208075d8153
Autor:
E. Natera Villalba, R. Martínez Fernández, R. Rodríguez Rojas, M. del Álamo, J. Pineda Pardo, I. Obeso Martín, M. Escribano, T. Jiménez Castellanos, C. Gasca Salas, M. Matarazzo, J. Obeso
Publikováno v:
Neurology Perspectives, Vol 4, Iss , Pp 144- (2024)
Externí odkaz:
https://doaj.org/article/3b7b04c620604cf2b21547867d5ec53f
Autor:
M. Ruiz Yanzi, M. Matarazzo, T. Jiménez Castellanos, J. Pineda Pardo, M. Hernández González-Monje, Á. Sánchez Ferro, C. Gasca Salas, R. Martínez Fernández, J. Obeso
Publikováno v:
Neurology Perspectives, Vol 4, Iss , Pp 333- (2024)
Externí odkaz:
https://doaj.org/article/2c45eb1f15e74f93b0d3f7041805fa06
Publikováno v:
Plastic and Reconstructive Surgery, Global Open, Vol 12, Iss 11, p e6324 (2024)
Externí odkaz:
https://doaj.org/article/8a506c520bf342bb8c1a246858aecda7
Autor:
Cronin, Liam, Eshkevari, Soheil Sadeghi, Matarazzo, Thomas J., Milardo, Sebastiano, Dabbaghchian, Iman, Santi, Paolo, Pakzad, Shamim N., Ratti, Carlo
The knowledge gap in the expected and actual conditions of bridges has created worldwide deficits in infrastructure service and funding challenges. Despite rapid advances over the past four decades, sensing technology is still not a part of bridge in
Externí odkaz:
http://arxiv.org/abs/2211.01363
Autor:
Liam Cronin, Soheil Sadeghi Eshkevari, Thomas J. Matarazzo, Sebastiano Milardo, Iman Dabbaghchian, Paolo Santi, Shamim N. Pakzad, Carlo Ratti
Publikováno v:
Communications Engineering, Vol 3, Iss 1, Pp 1-12 (2024)
Abstract Structural information deficits about aging bridges have led to several avoidable catastrophes in recent years. Data-driven methods for bridge vibration monitoring enable frequent, accurate structural assessments; however, the high costs of
Externí odkaz:
https://doaj.org/article/77ee264a74cd4081acd83064cf4c2bc8
Autor:
Michele Matarazzo, Alexandra Pérez-Soriano, Nasim Vafai, Elham Shahinfard, Kevin Ju-Chieh Cheng, Jessamyn McKenzie, Nicole Neilson, Qing Miao, Paul Schaffer, Hitoshi Shinotoh, Jeffrey H. Kordower, Vesna Sossi, A. Jon Stoessl
Publikováno v:
npj Parkinson's Disease, Vol 10, Iss 1, Pp 1-9 (2024)
Abstract Parkinson’s disease (PD) is associated with aggregation of misfolded α-synuclein and other proteins, including tau. We designed a cross-sectional study to quantify the brain binding of [11C]PBB3 (a ligand known to bind to misfolded tau an
Externí odkaz:
https://doaj.org/article/4c1e5ab38e104962a02dffa3537818be
Publikováno v:
[In]: S. Greco et al (Eds.), Intelligent Decision Support Systems, MCDM. Springer, Cham, 2022, pp. 353-382
Dominance-based Rough Approach (DRSA) has been proposed as a machine learning and knowledge discovery methodology to handle Multiple Criteria Decision Aiding (MCDA). Due to its capacity of asking the decision maker (DM) for simple preference informat
Externí odkaz:
http://arxiv.org/abs/2210.03233