Zobrazeno 1 - 10
of 9 110
pro vyhledávání: '"Palleschi"'
Autor:
Palleschi, Mario, Larsson, Isak
Using a Research through Design approach, this research aims to utilize the criteria of Flow outlined by Csikszentmihályi in Flow: The Psychology of Optimal Experience (2014) and later adapted to videogames by Sweetser & Wyeth in GameFlow: a model f
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-505789
Autor:
Elisa F. Ogawa, PhD, Rebekah Harris, PT, DPT, PhD, Rachel E. Ward, PhD, Mary-Kate Palleschi, BA, William Milberg, PhD, David R. Gagnon, MD, PhD, Ildiko Halasz, MD, Jonathan F. Bean, MD, MPH
Publikováno v:
Archives of Rehabilitation Research and Clinical Translation, Vol 6, Iss 4, Pp 100383- (2024)
Objective: To examine retention and compliance to a novel physical therapy (PT) treatment among Veterans with and without executive function deficits (EFD+/EFD−). Design: This study was a preplanned secondary analysis of an ongoing randomized contr
Externí odkaz:
https://doaj.org/article/f00847c2e5bb4a7fb44ba37cf541fddc
Autor:
Simonetta Palleschi, Leopoldo Silvestroni, Barbara Rossi, Simone Dinarelli, Marco Magi, Lorenzo Giacomelli, Andrea Bettucci
Publikováno v:
Biosensors and Bioelectronics: X, Vol 21, Iss , Pp 100554- (2024)
Viscoelasticity (VE) is the intrinsic mechano-dynamic property enabling red blood cells (RBCs) to undergo prompt and repeated deformations while maintaining structural integrity. Assessing RBC VE and how different stressors can affect it is of great
Externí odkaz:
https://doaj.org/article/2c8f4edf1a004f09af8efc8008486745
Publikováno v:
ITM Web of Conferences, Vol 24, p 02011 (2019)
Submerged shore-parallel breakwaters for coastal defence are a good compromise between the need to mitigate the effects of waves on the coast and the ambition to ensure the preservation of the landscape and water quality. In this work we simulate, in
Externí odkaz:
https://doaj.org/article/28d1689055c14112bfd73232ee986f7e
Autor:
Simone Scagnoli, Simona Pisegna, Angela Toss, Roberta Caputo, Michelino De Laurentiis, Michela Palleschi, Ugo de Giorgi, Enrico Cortesi, Agnese Fabbri, Alessandra Fabi, Ida Paris, Armando Orlandi, Giuseppe Curigliano, Carmen Criscitiello, Ornella Garrone, Gianluca Tomasello, Giuliana D’Auria, Patrizia Vici, Enrico Ricevuto, Federica Domati, Claudia Piombino, Sara Parola, Roberta Scafetta, Alessio Cirillo, Beatrice Taurelli Salimbeni, Francesca Sofia Di Lisa, Lidia Strigari, Robert Preissner, Maurizio Simmaco, Daniele Santini, Paolo Marchetti, Andrea Botticelli
Publikováno v:
npj Breast Cancer, Vol 10, Iss 1, Pp 1-10 (2024)
Abstract Abemaciclib demonstrated clinical benefit in women affected by HR+/HER2− advanced breast cancer (aBC). Drug-drug interactions (DDIs) can lead to reduced treatment efficacy or increased toxicity. This retro-prospective study aimed to evalua
Externí odkaz:
https://doaj.org/article/9f47555ab4e54af1bfb2ac3aefc63ec9
Autor:
Ilaria Righi, Ivan Barone, Lorenzo Rosso, Letizia Corinna Morlacchi, Valeria Rossetti, Giovanni Caffarena, Fiona Limanaqi, Alessandro Palleschi, Mario Clerici, Daria Trabattoni
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
Lung transplantation offers a lifesaving option for patients with end-stage lung disease, but it is marred by a high risk of post-transplant infections, particularly involving multidrug-resistant bacteria, Cytomegalovirus, and fungal pathogens. This
Externí odkaz:
https://doaj.org/article/7779a1e79c8c457e9116a6f47c0a77c5
Autor:
Ogawa, Elisa F., Harris, Rebekah, Ward, Rachel E., Palleschi, Mary-Kate, Milberg, William, Gagnon, David R., Halasz, Ildiko, Bean, Jonathan F.
Publikováno v:
In Archives of Rehabilitation Research and Clinical Translation December 2024 6(4)
Autor:
Palleschi, Simonetta, Silvestroni, Leopoldo, Rossi, Barbara, Dinarelli, Simone, Magi, Marco, Giacomelli, Lorenzo, Bettucci, Andrea
Publikováno v:
In Biosensors and Bioelectronics: X December 2024 21
Autor:
Pouriya Khalilian, Fatemeh Rezaei, Nazli Darkhal, Parvin Karimi, Ali Safi, Vincenzo Palleschi, Noureddine Melikechi, Seyed Hassan Tavassoli
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract In this study, the deep learning algorithm of Convolutional Neural Network long short-term memory (CNN–LSTM) is used to classify various jewelry rocks such as agate, turquoise, calcites, and azure from various historical periods and styles
Externí odkaz:
https://doaj.org/article/62f3868d23b84f46b441faa60e7830e9