Extracellular matrix stiffness regulates degradation of the Hippo kinase MST2 via SCFβTrCP

Autor: Michele Pagano, Silva Botelho Mc, da Silva Amr, Ribeiro Hv, Fiore Apzp, Alexandre Bruni-Cardoso, Antonio Carlos Manucci, Oliveira Psl, Ribeiro PdF

Tumor microenvironments display disrupted mechanical properties, including altered extracellular matrix (ECM) rigidity. ECM stiffening perturbs cell tensional homeostasis resulting in activation of mechanosensing transcriptional co-activators, such a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6c233bd8143026410e3e3975978ea39d
https://doi.org/10.1101/2021.01.31.429078

Results for Nonlinear Diffusion Equations with Stochastic Resetting.

Autor: Lenzi EK; Departamento de Física, Universidade Estadual de Ponta Grossa, Ponta Grossa 84030-900, PR, Brazil.; National Institute of Science and Technology for Complex Systems, Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro 22290-180, RJ, Brazil., Zola RS; Departamento de Física, Universidade Tecnológica Federal do Paraná, Apucarana 86812-460, PR, Brazil., Rosseto MP; Departamento de Física, Universidade Estadual de Ponta Grossa, Ponta Grossa 84030-900, PR, Brazil., Mendes RS; Departamento de Física, Universidade Estadual de Maringá, Maringa 87020-900, PR, Brazil., Ribeiro HV; Departamento de Física, Universidade Estadual de Maringá, Maringa 87020-900, PR, Brazil., Silva LRD; National Institute of Science and Technology for Complex Systems, Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro 22290-180, RJ, Brazil.; Departamento de Física, Universidade Federal do Rio Grande do Norte, Natal 59078-900, RN, Brazil., Evangelista LR; Departamento de Física, Universidade Estadual de Maringá, Maringa 87020-900, PR, Brazil.; Istituto dei Sistemi Complessi (ISC-CNR), Via dei Taurini, 19, 00185 Rome, Italy.

Publikováno v: Entropy (Basel, Switzerland) [Entropy (Basel)] 2023 Dec 12; Vol. 25 (12). Date of Electronic Publication: 2023 Dec 12.

Age and market capitalization drive large price variations of cryptocurrencies.

Autor: Pessa AAB; Departamento de Física, Universidade Estadual de Maringá, Maringá, PR, 87020-900, Brazil., Perc M; Faculty of Natural Sciences and Mathematics, University of Maribor, Koroška cesta 160, 2000, Maribor, Slovenia. matjaz.perc@gmail.com.; Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan. matjaz.perc@gmail.com.; Alma Mater Europaea, Slovenska ulica 17, 2000, Maribor, Slovenia. matjaz.perc@gmail.com.; Complexity Science Hub Vienna, Josefstädterstraße 39, 1080, Vienna, Austria. matjaz.perc@gmail.com.; Department of Physics, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul, Republic of Korea. matjaz.perc@gmail.com., Ribeiro HV; Departamento de Física, Universidade Estadual de Maringá, Maringá, PR, 87020-900, Brazil. hvr@dfi.uem.br.

Publikováno v: Scientific reports [Sci Rep] 2023 Mar 30; Vol. 13 (1), pp. 3351. Date of Electronic Publication: 2023 Mar 30.

Machine learning partners in criminal networks.

Autor: Lopes DD; Departamento de Física, Universidade Estadual de Maringá, Maringá, PR, 87020-900, Brazil., Cunha BRD; Rio Grande do Sul Superintendency, Brazilian Federal Police, Porto Alegre, RS, 90160-093, Brazil.; National Police Academy, Brazilian Federal Police, Brasília, DF, 71559-900, Brazil., Martins AF; Departamento de Física, Universidade Estadual de Maringá, Maringá, PR, 87020-900, Brazil., Gonçalves S; Instituto de Física, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, 91501-970, Brazil., Lenzi EK; Departamento de Física, Universidade Estadual de Ponta Grossa, Ponta Grossa, PR, 84030-900, Brazil., Hanley QS; School of Science and Technology, Nottingham Trent University, Clifton Lane, Nottingham, NG11 8NS, UK., Perc M; Faculty of Natural Sciences and Mathematics, University of Maribor, Koroška cesta 160, 2000, Maribor, Slovenia. matjaz.perc@gmail.com.; Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan. matjaz.perc@gmail.com.; Alma Mater Europaea, Slovenska ulica 17, 2000, Maribor, Slovenia. matjaz.perc@gmail.com.; Complexity Science Hub Vienna, Josefstädterstraße 39, 1080, Vienna, Austria. matjaz.perc@gmail.com., Ribeiro HV; Departamento de Física, Universidade Estadual de Maringá, Maringá, PR, 87020-900, Brazil. hvr@dfi.uem.br.

Publikováno v: Scientific reports [Sci Rep] 2022 Sep 21; Vol. 12 (1), pp. 15746. Date of Electronic Publication: 2022 Sep 21.

Permutation Jensen-Shannon distance: A versatile and fast symbolic tool for complex time-series analysis.

Autor: Zunino L; Centro de Investigaciones Ópticas (CONICET La Plata-CIC-UNLP), 1897 Gonnet, La Plata, Argentina.; Departamento de Ciencias Básicas, Facultad de Ingeniería, Universidad Nacional de La Plata (UNLP), 1900 La Plata, Argentina., Olivares F; Instituto de Física Interdisciplinar y Sistemas Complejos, IFISC (CSIC-UIB), Campus Universitat de les Illes Balears, E-07122 Palma de Mallorca, Spain., Ribeiro HV; Departamento de Física, Universidade Estadual de Maringá, Maringá, PR 87020-900, Brazil., Rosso OA; Instituto de Física, Universidade Federal de Alagoas, Maceió, Alagoas 57072-970, Brazil.

Publikováno v: Physical review. E [Phys Rev E] 2022 Apr; Vol. 105 (4-2), pp. 045310.