Zobrazeno 1 - 10
of 2 892
pro vyhledávání: '"A, Pietrabissa"'
Autor:
Pietrabissa, Camilla
Publikováno v:
Venezia Arti, Vol 33, Iss 1, Pp - (2024)
[abstract missing]
Externí odkaz:
https://doaj.org/article/425d84a7c3c64f17928a1a98c66d9895
Autor:
Michelle Semonella, Gloria Marchesi, Gianluca Castelnuovo, Gerhard Andersson, Giada Pietrabissa
Publikováno v:
Digital Health, Vol 10 (2024)
Introduction Internet-based self-help interventions have the potential to help people address their emotional needs at relatively low costs. However, if the system does not offer optimal functions, it could reduce end-user adherence and satisfaction
Externí odkaz:
https://doaj.org/article/0448dfa1658740108409965b59eab748
Publikováno v:
Eating and Weight Disorders, Vol 29, Iss 1, Pp 1-16 (2024)
Abstract Background The Three Factor Eating Questionnaire-Revised 18 (TFEQ-R-18) is an extensively used questionnaire to measure three transdiagnostic features of eating behavior: cognitive restraint, uncontrolled eating, and emotional eating. Object
Externí odkaz:
https://doaj.org/article/5840a9ec5ce4475997fadec22845d226
Autor:
Ausania, Fabio 1, 19, Gonzalez-Abós, Carolina 1, 19, ⁎, Landi, Filippo 1, 19, Martinie, John B. 2, Vrochides, Dionisios 2, Walsh, Matthew 3, Hossain, Shanaz M. 3, White, Steven 4, Prabakaran, Viswakumar 4, Melstrom, Laleh G. 5, Fong, Yuman 5, Butturini, Giovanni 6, Bignotto, Laura 6, Valle, Valentina 7, Bing, Yuntao 8, Xiu, Dianrong 8, Di Franco, Gregorio 9, Sanchez-Bueno, Francisco 10, de'Angelis, Nicola 11, Laurent, Alexis 11, Giuliani, Giuseppe 12, Pernazza, Graziano 13, Esposito, Alessandro 14, Salvia, Roberto 14, Bazzocchi, Francesca 15, Esposito, Ludovica 15, Pietrabissa, Andrea 16, Pugliese, Luigi 16, Memeo, Riccardo 17, Uyama, Ichiro 18, Uchida, Yuichiro 18, Ríos, José 20, Coratti, Andrea 12, Morelli, Luca 9, ∗, Giulianotti, Pier C. 7, ∗
Publikováno v:
In HPB September 2024 26(9):1172-1179
Autor:
Gianluca Castelnuovo, Giada Pietrabissa, Christina L Goodwin, Gabriella Martino, Chiara A M Spatola, Giada Rapelli, Emanuele Maria Giusti, Roberto Cattivelli, Gabriella Malfatto, Mario Facchini, Emanuele A M Cappella, Giorgia Varallo
Publikováno v:
BMJ Open, Vol 14, Iss 6 (2024)
Objectives The main objective of the study is to investigate the short-term efficacy of Acceptance and Commitment Therapy (ACT) on the simultaneous modification of biological indicators of risk and psychological well-being in patients with coronary h
Externí odkaz:
https://doaj.org/article/f8ea5f7315e74218bc54cf810afb4766
Publikováno v:
IEEE Access, Vol 12, Pp 30638-30652 (2024)
The evaluation of time and frequency domain measures of coupling and causality relies on the parametric representation of linear multivariate processes. The study of temporal dependencies among time series is based on the identification of a Vector A
Externí odkaz:
https://doaj.org/article/95869a48c8a64229bc2dcefef5734ddf
Autor:
Cisotto, Giulia, Trentini, Andrea, Zoppis, Italo, Zanga, Alessio, Manzoni, Sara, Pietrabissa, Giada, Usubini, Anna Guerrini, Castelnuovo, Gianluca
As the worldwide population gets increasingly aged, in-home telemedicine and mobile-health solutions represent promising services to promote active and independent aging and to contribute to a paradigm shift towards patient-centric healthcare. In thi
Externí odkaz:
http://arxiv.org/abs/2102.08692
Autor:
Rossi, Alessandro Alberto a, b, ∗, Mannarini, Stefania a, b, Donini, Lorenzo Maria c, Castelnuovo, Gianluca d, e, Simpson, Susan f, g, Pietrabissa, Giada d, e
Publikováno v:
In Appetite 1 February 2024 193
Autor:
Giovanni Cappa, Valeria Mauri, Erika Negrello, Bruno Barcella, Flavia Resta, Valentina Angeli, Stefania Marconi, Lorenzo Tiraboschi, Paolo Minzioni, Andrea Pietrabissa, Ferdinando Auricchio, Stefano Perlini
Publikováno v:
Emergency Care Journal (2024)
Dear Editor, When faced with a crisis, particularly when it involves humanitarian aid, emergency medicine (EM) practitioners push themselves to question, “How can we help?” and “To the best of our knowledge and skills, what can we truly do?”
Externí odkaz:
https://doaj.org/article/cb9ae9d239b54c22b07d395366b221a9
Publikováno v:
IEEE Control Systems Letters, vol. 4, no. 3, pp. 755-760, July 2020
This paper proposes a lexicographic Deep Reinforcement Learning (DeepRL)-based approach to chance-constrained Markov Decision Processes, in which the controller seeks to ensure that the probability of satisfying the constraint is above a given thresh
Externí odkaz:
http://arxiv.org/abs/2010.09468