Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Laura Rocchi"'
Autor:
Enrico Giustiniano, Fulvio Nisi, Laura Rocchi, Paola C. Zito, Nadia Ruggieri, Matteo M. Cimino, Guido Torzilli, Maurizio Cecconi
Publikováno v:
Cancers, Vol 13, Iss 9, p 2203 (2021)
Hepatic resection has been widely accepted as the first choice for the treatment of colorectal metastases. Liver surgery has been recognized as a major abdominal procedure; it exposes patients to a high risk of perioperative adverse events. Decision
Externí odkaz:
https://doaj.org/article/4ada389e47e5420aa021453fdb22bf6a
Autor:
Luca Palmerini, Laura Rocchi, Sinziana Mazilu, Eran Gazit, Jeffrey M. Hausdorff, Lorenzo Chiari
Publikováno v:
Frontiers in Neurology, Vol 8 (2017)
Freezing of gait (FOG) is a disabling symptom that is common among patients with advanced Parkinson’s disease (PD). External cues such as rhythmic auditory stimulation can help PD patients experiencing freezing to resume walking. Wearable systems f
Externí odkaz:
https://doaj.org/article/35f08b5a7bc142e686e9a29b14a7792e
Autor:
Filippo Casamassima, Alberto Ferrari, Bojan Milosevic, Pieter Ginis, Elisabetta Farella, Laura Rocchi
Publikováno v:
Sensors, Vol 14, Iss 4, Pp 6229-6246 (2014)
In this paper, a system for gait training and rehabilitation for Parkinson’s disease (PD) patients in a daily life setting is presented. It is based on a wearable architecture aimed at the provision of real-time auditory feedback. Recent studies ha
Externí odkaz:
https://doaj.org/article/b5ae2d7a8ddb44c380de78f29d4d0466
Autor:
Piero Sestili, Pier Giorgio Petronini, Roberta R. Alfieri, Pier Luigi Tazzari, Francesca Ricci, Pasqualepaolo Pagliaro, Laura Rocchi, Cinzia Calcabrini, Maurizio Brigotti, Valentina Arfilli, Domenica Carnicelli
Publikováno v:
Toxins, Vol 5, Iss 2, Pp 431-444 (2013)
Shiga toxin 1 (Stx1), produced by pathogenic Escherichia coli, targets a restricted subset of human cells, which possess the receptor globotriaosylceramide (Gb3Cer/CD77), causing hemolytic uremic syndrome. In spite of the high toxicity, Stx1 has been
Externí odkaz:
https://doaj.org/article/0a60b4f39cee4437bf6d333d1b403d14
Publikováno v:
Bioscience Reports, Vol 34, Iss 6, p e00147 (2014)
STS (soft tissue sarcomas) are rare malignant tumours deriving from cells of mesenchymal origin and represent only 1% of all malignant neoplasms. It has been extensively demonstrated that angiogenesis has an important role in cancer malignancy. Parti
Externí odkaz:
https://doaj.org/article/88c9d0dbef244f2b97205e3dc3b79535
Publikováno v:
PLoS ONE, Vol 9, Iss 7, p e101971 (2014)
The product of the DKC1 gene, dyskerin, is required for both ribosome biogenesis and telomerase complex stabilization. Targeting these cellular processes has been explored for the development of drugs to selectively or preferentially kill cancer cell
Externí odkaz:
https://doaj.org/article/5efc0721b12048fd853604959789ddf1
Autor:
Massimo Derenzini, Davide Treré, Massimiliano Bonafè, Maurizio Brigotti, Domenica Carnicelli, Mario Taffurelli, Claudio Ceccarelli, Donatella Santini, Gianluca Storci, Pasquale Sansone, Laura Rocchi, Sara Bertoni, Maria Calienni, Lorenzo Montanaro
Supplementary Figures 1-4, Table 1 from Novel Dyskerin-Mediated Mechanism of p53 Inactivation through Defective mRNA Translation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1db783f1ac88a997fbfd0c63b6373c5a
https://doi.org/10.1158/0008-5472.22383264
https://doi.org/10.1158/0008-5472.22383264
Autor:
Massimo Derenzini, Davide Treré, Massimiliano Bonafè, Maurizio Brigotti, Domenica Carnicelli, Mario Taffurelli, Claudio Ceccarelli, Donatella Santini, Gianluca Storci, Pasquale Sansone, Laura Rocchi, Sara Bertoni, Maria Calienni, Lorenzo Montanaro
In up to 60% of human cancers, p53 gene mutations are responsible for direct inactivation of the tumor suppressor function of p53. Alternative mechanisms of p53 inactivation described thus far mainly affect its posttranslational regulation. In X-link
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b34ea5cf8e75d799f9d3d4e83aa6141
https://doi.org/10.1158/0008-5472.c.6500478
https://doi.org/10.1158/0008-5472.c.6500478
Autor:
Mattia Silvestri, Michele Lombardi, Emiliano Mucchi, Luca Cadei, Giovanna Magnago, Marco Piantanida, Valentina D’Ottavio, Nguyen Van Tu, Simona Duma, Silvia Taddei, Annagiulia Tiozzo, Andrea Corneo, Lorenzo Lancia, Laura Rocchi, Pietro Coffari di Gilferraro
In recent years, pervasive digitalization has affected the industrial world, including the oil and gas sector. With more and more data becoming available, Machine Learning algorithms have become a promising tool to improve Predictive Maintenance oper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::489fa4645882fcd945591880c7cd91e6
https://doi.org/10.3233/faia220069
https://doi.org/10.3233/faia220069