Zobrazeno 1 - 10
of 2 134
pro vyhledávání: '"Antenucci A"'
Autor:
Drusco A, P. Fadda, Nigita G, Fassan M, Bottoni A, Gardiman MP, D. Sacchi, Calore F, Carosi M, Antenucci A, B. Casini, Kelani H, Pescarmona E, Di Leva G, Zanesi N, Berger MS, Croce CM
Publikováno v:
EBioMedicine, Vol 30, Iss , Pp 105-112 (2018)
The World Health Organization has recently introduced molecular prognostic-diagnostic biomarkers in the classification of Central Nervous System (CNS) tumors. In order to characterize subclasses of tumors that cannot find a precise location in the cu
Externí odkaz:
https://doaj.org/article/1d94bf293ca3445886ce9ed8b46c5acc
Autor:
Serena Notartomaso, Nico Antenucci, Mariacristina Mazzitelli, Xavier Rovira, Serena Boccella, Flavia Ricciardi, Francesca Liberatore, Xavier Gomez-Santacana, Tiziana Imbriglio, Milena Cannella, Charleine Zussy, Livio Luongo, Sabatino Maione, Cyril Goudet, Giuseppe Battaglia, Amadeu Llebaria, Ferdinando Nicoletti, Volker Neugebauer
Publikováno v:
eLife, Vol 13 (2024)
We used light-sensitive drugs to identify the brain region-specific role of mGlu5 metabotropic glutamate receptors in the control of pain. Optical activation of systemic JF-NP-26, a caged, normally inactive, negative allosteric modulator (NAM) of mGl
Externí odkaz:
https://doaj.org/article/7992b22d74894ac98d325b25e79626e5
Autor:
Nico Antenucci, Giovanna D’Errico, Francesco Fazio, Ferdinando Nicoletti, Valeria Bruno, Giuseppe Battaglia
Publikováno v:
Schizophrenia, Vol 10, Iss 1, Pp 1-15 (2024)
Abstract Alterations in the kynurenine pathway of tryptophan metabolism have been implicated in the pathophysiology of schizophrenia. Here, we performed an in-depth analysis of all metabolites of the kynurenine pathway, i.e., tryptophan (TRY), kynure
Externí odkaz:
https://doaj.org/article/7ace12d11ab04073974eecd0d05f27f4
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Sperm concentration is a stronghold of the andrological evaluation and the production of insemination doses. The use of haemocytometers, although considered the gold standard, is difficult to apply in field conditions because it is subjectiv
Externí odkaz:
https://doaj.org/article/fb18d33ed4644997a4e7460b10b40114
Autor:
Fabiana Colucci, Sara Stefanelli, Elena Contaldi, Andrea Gozzi, Alessia Marchetti, Maura Pugliatti, Michele Laudisi, Pietro Antenucci, Jay Guido Capone, Daniela Gragnaniello, Mariachiara Sensi
Publikováno v:
Journal of Clinical Medicine, Vol 13, Iss 16, p 4880 (2024)
Background/Objectives: Cognitive impairment in spinocerebellar ataxia patients has been reported since the early-disease stage. We aimed to assess cognitive differences in SCA1 and SCA2 patients. Methods: We performed neuropsychological (NPS) and neu
Externí odkaz:
https://doaj.org/article/1bf27195f2b140aeb202053517e10048
Autor:
Antenucci, Pedro1 pantenucci@nyu.edu, Terrádez, Manuel2 terradezmanuel@gmail.com, de Janín, Gonzalo3 gonzalojanin@gmail.com
Publikováno v:
POSTData: Revista de Reflexión y Análisis Político. Apr2024, Vol. 29 Issue 1, p171-186. 16p.
Autor:
Vizcaíno-Castillo, Andrea, Kotila, Tommi, Kogan, Konstantin, Yanase, Ryuji, Como, Juna, Antenucci, Lina, Michelot, Alphee, Sunter, Jack D., Lappalainen, Pekka
Publikováno v:
In Journal of Biological Chemistry March 2024 300(3)
Autor:
Antenucci, Sebastiano, Boglio, Simone, Chioso, Emanuele, Dervishaj, Ervin, Kang, Shuwen, Scarlatti, Tommaso, Dacrema, Maurizio Ferrari
Publikováno v:
Proceedings of the ACM Recommender Systems Challenge 2018 (RecSys Challenge '18)
In this paper we provide an overview of the approach we used as team Creamy Fireflies for the ACM RecSys Challenge 2018. The competition, organized by Spotify, focuses on the problem of playlist continuation, that is suggesting which tracks the user
Externí odkaz:
http://arxiv.org/abs/2010.06233
Autor:
Mozeika, Alexander, Sheikh, Mansoor, Aguirre-Lopez, Fabian, Antenucci, Fabrizio, Coolen, Anthony CC
Publikováno v:
Phys. Rev. E 103, 042142 (2021)
It is clear that conventional statistical inference protocols need to be revised to deal correctly with the high-dimensional data that are now common. Most recent studies aimed at achieving this revision rely on powerful approximation techniques, tha
Externí odkaz:
http://arxiv.org/abs/2009.13229
Nearly all statistical inference methods were developed for the regime where the number $N$ of data samples is much larger than the data dimension $p$. Inference protocols such as maximum likelihood (ML) or maximum a posteriori probability (MAP) are
Externí odkaz:
http://arxiv.org/abs/2004.06329