Zobrazeno 1 - 10
of 1 763
pro vyhledávání: '"A. Menegaz"'
Autor:
Dolci, Giorgio, Ellis, Charles A., Cruciani, Federica, Brusini, Lorenza, Abrol, Anees, Galazzo, Ilaria Boscolo, Menegaz, Gloria, Calhoun, Vince D.
Amyloid-$\beta$ (A$\beta$) plaques in conjunction with hyperphosphorylated tau proteins in the form of neurofibrillary tangles are the two neuropathological hallmarks of Alzheimer's disease. It is well-known that the identification of individuals wit
Externí odkaz:
http://arxiv.org/abs/2406.13305
Autor:
Dolci, Giorgio, Cruciani, Federica, Rahaman, Md Abdur, Abrol, Anees, Chen, Jiayu, Fu, Zening, Galazzo, Ilaria Boscolo, Menegaz, Gloria, Calhoun, Vince D.
Alzheimer's disease (AD) is the most prevalent form of dementia with a progressive decline in cognitive abilities. The AD continuum encompasses a prodormal stage known as Mild Cognitive Impairment (MCI), where patients may either progress to AD or re
Externí odkaz:
http://arxiv.org/abs/2406.13292
Publikováno v:
Translational Psychiatry, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract CACNA1C, coding for the α1 subunit of L-type voltage-gated calcium channel (LTCC) Cav1.2, has been associated with multiple psychiatric disorders. Clinical studies have revealed alterations in behavior as well as in brain structure and func
Externí odkaz:
https://doaj.org/article/46564bab22674af7a54193c90005d65f
Autor:
Salih, Ahmed, Raisi-Estabragh, Zahra, Galazzo, Ilaria Boscolo, Radeva, Petia, Petersen, Steffen E., Menegaz, Gloria, Lekadir, Karim
eXplainable artificial intelligence (XAI) methods have emerged to convert the black box of machine learning (ML) models into a more digestible form. These methods help to communicate how the model works with the aim of making ML models more transpare
Externí odkaz:
http://arxiv.org/abs/2305.02012
Autor:
Salih, Ahmed, Galazzo, Ilaria Boscolo, Raisi-Estabragh, Zahra, Petersen, Steffen E., Menegaz, Gloria, Radeva, Petia
Explainable Artificial Intelligence (XAI) provides tools to help understanding how the machine learning models work and reach a specific outcome. It helps to increase the interpretability of models and makes the models more trustworthy and transparen
Externí odkaz:
http://arxiv.org/abs/2304.01717
Autor:
Jouhanna do Carmo Menegaz, Aurilívia Caroline Lima Barros, Sebastião Magno Oliveira, Dhiuly Anne Fernandes da Silva Pontes, Lucieli Dias Pedreschi Chaves, Silvia Helena Henriques Camelo
Publikováno v:
Acta Paulista de Enfermagem, Vol 37 (2024)
Resumo Objetivo Verificar convergências e divergências entre a autoavaliação de enfermeiros assistenciais e as avaliações de gerentes imediatos na perspectiva de rol de competências profissionais de enfermagem. Métodos Estudo descritivo de ab
Externí odkaz:
https://doaj.org/article/fe24a8f1ce784fd1b485801067bc6366
Autor:
G.S. Macêdo, C.L.P. Ferreira, A. Menegaz, V.C. Arantes, R.V. Veloso, E.M. Carneiro, A.C. Boschero, C.M.P. Oller do Nascimento, M.Q. Latorraca, M.H.G. Gomes-da-Silva
Publikováno v:
Brazilian Journal of Medical and Biological Research, Vol 41, Iss 6, Pp 519-525 (2008)
During pregnancy and protein restriction, changes in serum insulin and leptin levels, food intake and several metabolic parameters normally result in enhanced adiposity. We evaluated serum leptin and insulin levels and their correlations with some pr
Externí odkaz:
https://doaj.org/article/d2af73bfba804f49aaa2dc5e2dc4d8be
Autor:
André Teixeira da Silva Hucke, Mateus Nardini Menegaz, Jorge Manuel Guieiro Pereira Isidoro, Rafael de Oliveira Tiezzi
Publikováno v:
Journal of Water and Climate Change, Vol 15, Iss 5, Pp 2110-2126 (2024)
Climate change has the potential to fundamentally transform landscapes on global scale. Leveraging advanced predictive modeling to enhance water resource management within the Alto Paranapanema Basin (Brazil), holds the potential to proactively antic
Externí odkaz:
https://doaj.org/article/deef8c0167ad41eab5e87cfe398be06b
Artificial intelligence has become pervasive across disciplines and fields, and biomedical image and signal processing is no exception. The growing and widespread interest on the topic has triggered a vast research activity that is reflected in an ex
Externí odkaz:
http://arxiv.org/abs/2207.04295
Autor:
Daniela García, Adriana Menegaz
Publikováno v:
Mundo Agrario, Vol 25, Iss 59 (2024)
La presente contribución recupera una experiencia de formación de promotores/as territoriales realizada en el contexto del Plan Nacional para la Prevención y Erradicación del trabajo infantil y protección del trabajo adolescente 2018-2022. Cobra
Externí odkaz:
https://doaj.org/article/8a30c9643aea4df689c865a9364dfc7c