Zobrazeno 1 - 10
of 2 949
pro vyhledávání: '"Alexandre, L"'
Autor:
Levada, Alexandre L. M.
Complex networks are critical in many scientific, technological, and societal contexts due to their ability to represent and analyze intricate systems with interdependent components. Often, after labeling the nodes of a network with a community detec
Externí odkaz:
http://arxiv.org/abs/2406.17144
"A Three-Field Domain Decomposition Method" is the title of a seminal paper by F. Brezzi and L. D. Marini which introduces a three-field formulation for elliptic partial differential equations. Based on that, we propose the Multiscale-Hybrid-Hybrid M
Externí odkaz:
http://arxiv.org/abs/2404.16978
Haptic rendering of weight plays an essential role in naturalistic object interaction in virtual environments. While kinesthetic devices have traditionally been used for this aim by applying forces on the limbs, tactile interfaces acting on the skin
Externí odkaz:
http://arxiv.org/abs/2402.13120
Autor:
Ratschat, Alexandre L., Martín-Rodríguez, Rubén, Vardar, Yasemin, Ribbers, Gerard M., Marchal-Crespo, Laura
Object properties perceived through the tactile sense, such as weight, friction, and slip, greatly influence motor control during manipulation tasks. However, the provision of tactile information during robotic training in neurorehabilitation has not
Externí odkaz:
http://arxiv.org/abs/2402.12060
In this manuscript we propose and analyze an implicit two-point type method (or inertial method) for obtaining stable approximate solutions to linear ill-posed operator equations. The method is based on the iterated Tikhonov (iT) scheme. We establish
Externí odkaz:
http://arxiv.org/abs/2401.15213
Autor:
Levada, Alexandre L. M.
Random fields are ubiquitous mathematical structures in physics, with applications ranging from thermodynamics and statistical physics to quantum field theory and cosmology. Recent works on information geometry of Gaussian random fields proposed math
Externí odkaz:
http://arxiv.org/abs/2401.14482
Autor:
RÔMULO F. CARNEIRO, PEDRO ARTHUR S. TABOSA, JOSÉ GABRIEL S. CÂNDIDO, VINÍCIUS PAULINO P. MENEZES, PEDRO ABILIO V. ROCHA JÚNIOR, ALEXANDRE L. ANDRADE, MAYRON A. VASCONCELOS, EDSON H. TEIXEIRA, CELSO S. NAGANO, ALEXANDRE H. SAMPAIO
Publikováno v:
Anais da Academia Brasileira de Ciências, Vol 96, Iss 4 (2024)
Abstract This study aimed to assess the combined antibacterial effect of lectins and antibiotics on S. aureus ATCC 25923, multidrug-resistant E. coli ATCC 11303 and S. aureus ATCC 700698. Using the checkerboard assay, we evaluated the antibacterial e
Externí odkaz:
https://doaj.org/article/df025d7c6f5e46a09dc6316d4dcacdd8
Autor:
ISABEL CRISTINA T. PROENÇA, PATRICK TÜRCK, VANESSA D. ORTIZ, CRISTINA C. PROENÇA, ADRIANE BELLÓ-KLEIN, ALEXANDRE L. DE CASTRO, CAROLINE DANI, ALEX SANDER R. ARAUJO
Publikováno v:
Anais da Academia Brasileira de Ciências, Vol 96, Iss 4 (2024)
Abstract This study explored the association of cardioprotective role of thyroid hormones (TH) and benefit effects of grape juice (GJ) on vascular function against the apoptosis and inflammation associated with monocrotaline (MCT)-induced pulmonary h
Externí odkaz:
https://doaj.org/article/ab7fdb0f02ac43aa8217389aaafdf801
Publikováno v:
Journal of Universal Computer Science, Vol 30, Iss 5, Pp 603-616 (2024)
Dimensionality reduction based unsupervised metric learning consists in finding meaningful compact data representations previously to clustering and classification problems. One of the major aspects of these algorithms is the approximation of the und
Externí odkaz:
https://doaj.org/article/ea495a2759e34239ba6314659208897e