Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Simona Aresta"'
Autor:
Cinzia Palmirotta, Simona Aresta, Petronilla Battista, Serena Tagliente, Gianvito Lagravinese, Davide Mongelli, Christian Gelao, Pietro Fiore, Isabella Castiglioni, Brigida Minafra, Christian Salvatore
Publikováno v:
Brain Sciences, Vol 14, Iss 2, p 137 (2024)
While extensive research has documented the cognitive changes associated with Parkinson’s disease (PD), a relatively small portion of the empirical literature investigated the language abilities of individuals with PD. Recently, artificial intellig
Externí odkaz:
https://doaj.org/article/ced3b06d652844ed90afb63e9a382db1
Autor:
Simona Aresta, Mariapia Musci, Francesco Bottiglione, Lorenzo Moretti, Biagio Moretti, Ilaria Bortone
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1654 (2023)
Sports biomechanics enables thorough examination of athletic movements to enhance athletic performance and/or reduce injury risk. Few studies have looked at the possibilities of cutting-edge technology in fencing, even though it presents an intriguin
Externí odkaz:
https://doaj.org/article/45fdb1505128428dbfc289a3d4c57f21
Autor:
Simona Aresta, Ilaria Bortone, Francesco Bottiglione, Tommaso Di Noia, Eugenio Di Sciascio, Domenico Lofù, Mariapia Musci, Fedelucio Narducci, Andrea Pazienza, Rodolfo Sardone, Paolo Sorino
Publikováno v:
Applied Sciences, Vol 12, Iss 23, p 12350 (2022)
Nowadays, modern technology is widespread in sports; therefore, finding an excellent approach to extracting knowledge from data is necessary. Machine Learning (ML) algorithms can be beneficial in biomechanical data management because they can handle
Externí odkaz:
https://doaj.org/article/8e89d78a3d944471beb7d20154f6fa68
Autor:
Ilaria Bortone, Roberta Zupo, Fabio Castellana, Simona Aresta, Luisa Lampignano, Sabrina Sciarra, Chiara Griseta, Tommaso Antonio Stallone, Giancarlo Sborgia, Madia Lozupone, Francesco Panza, Gianvito Lagravinese, Petronilla Battista, Rodolfo Sardone
Publikováno v:
Brain Sciences, Vol 12, Iss 7, p 861 (2022)
Background: This study aims to establish the key clinical features of different motoric cognitive risk (MCR) subtypes based on individual quantitative measures of cognitive impairment and to compare their predictive power on survival over an 8-year o
Externí odkaz:
https://doaj.org/article/6d9febcef5a64bf58f4829f06411ee3c
Autor:
Roberta Zupo, Fabio Castellana, Sara De Nucci, Annamaria Sila, Simona Aresta, Carola Buscemi, Cristiana Randazzo, Silvio Buscemi, Vincenzo Triggiani, Giovanni De Pergola, Claudia Cava, Madia Lozupone, Francesco Panza, Rodolfo Sardone
Publikováno v:
Biomedicines, Vol 10, Iss 3, p 632 (2022)
Unbalanced diets and altered micronutrient intake are prevalent in the aging adult population. We conducted a systematic review to appraise the evidence regarding the association between single (α-carotene, β-carotene, lutein, lycopene, β-cryptoxa
Externí odkaz:
https://doaj.org/article/eedf7b897d2541ce80018c316db78ab7
Autor:
Rossella Tatoli, Luisa Lampignano, Ilaria Bortone, Rossella Donghia, Fabio Castellana, Roberta Zupo, Sarah Tirelli, Sara De Nucci, Annamaria Sila, Annalidia Natuzzi, Madia Lozupone, Chiara Griseta, Sabrina Sciarra, Simona Aresta, Giovanni De Pergola, Paolo Sorino, Domenico Lofù, Francesco Panza, Tommaso Di Noia, Rodolfo Sardone
Publikováno v:
Sensors, Vol 22, Iss 6, p 2193 (2022)
Dietary behaviour is a core element in diabetes self-management. There are no remarkable differences between nutritional guidelines for people with type 2 diabetes and healthy eating recommendations for the general public. This study aimed to evaluat
Externí odkaz:
https://doaj.org/article/eab7dceac1be4ee79e81aab0f8c507cd
Autor:
Sara De Nucci, Roberta Zupo, Rossella Donghia, Fabio Castellana, Domenico Lofù, Simona Aresta, Vito Guerra, Ilaria Bortone, Luisa Lampignano, Giovanni De Pergola, Madia Lozupone, Rossella Tatoli, Giancarlo Sborgia, Sarah Tirelli, Francesco Panza, Tommaso Di Noia, Rodolfo Sardone
Publikováno v:
European Journal of Nutrition.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b5ad0c71ba5b1f06928b97cc5428217
https://doi.org/10.1007/s00394-023-03174-0
https://doi.org/10.1007/s00394-023-03174-0
Autor:
Fabio Castellana, Simona Aresta, Paolo Sorino, Ilaria Bortone, Domenico Lofu, Fedelucio Narducci, Tommaso Di Noia, Eugenio Di Sciascio, Rodolfo Sardone
Publikováno v:
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02d9790e957ff80487e48b0f95502d55
https://doi.org/10.1109/smc53654.2022.9945542
https://doi.org/10.1109/smc53654.2022.9945542
Autor:
Sara De Nucci, Roberta Zupo, Rossella Donghia, Fabio Castellana, Domenico Lofù, Simona Aresta, Vito Guerra, Ilaria Bortone, Luisa Lampignano, Giovanni De Pergola, Madia Lozupone, Rossella Tatoli, Giancarlo Sborgia, Sarah Tirelli, Francesco Panza, Tommaso Di Noia, Rodolfo Sardone
Publikováno v:
European journal of nutrition.
Purpose Growing awareness of the biological and clinical value of nutrition in frailty settings calls for further efforts to investigate dietary gaps to act sooner to achieve focused management of aging populations. We cross-sectionally examined the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d6b8b3166abc14ac9d4c57a64cddfd5
https://pubmed.ncbi.nlm.nih.gov/36484807
https://pubmed.ncbi.nlm.nih.gov/36484807
Autor:
Mariapia Musci, Eugenio Di sciascio, Fedelucio Narducci, Tommaso Di Noia, Andrea Pazienza, Domenico Lofù, Paolo Sorino, Ilaria Bortone, Simona Aresta, Francesco Bottiglione, Rodolfo Sardone
Publikováno v:
Applied Sciences; Volume 12; Issue 23; Pages: 12350
Nowadays, modern technology is widespread in sports; therefore, finding an excellent approach to extracting knowledge from data is necessary. Machine Learning (ML) algorithms can be beneficial in biomechanical data management because they can handle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92d8050afd70d6d087f2ead47930d6f9
https://doi.org/10.3390/app122312350
https://doi.org/10.3390/app122312350