Zobrazeno 1 - 10
of 2 620
pro vyhledávání: '"Bianca De"'
Autor:
Isabella Cristina Paliares, Patrícia Medici Dualib, Laísa Stephane Noronha Torres, Priscila Maria Teixeira Aroucha, Bianca de Almeida-Pititto, Joao Roberto de Sa, Sérgio Atala Dib
Publikováno v:
Cardiovascular Diabetology, Vol 23, Iss 1, Pp 1-12 (2024)
Abstract Background The Steno Type 1 Risk Engine (ST1RE) was developed to aid clinical decisions in primary prevention for individuals with type 1 diabetes (T1D), as existing cardiovascular (CV) risk models for the general population and type 2 diabe
Externí odkaz:
https://doaj.org/article/4dd1999b24d14036b2c574784449f2d9
Autor:
Livia Cosentino, Chiara Urbinati, Chiara Lanzillotta, Domenico De Rasmo, Daniela Valenti, Mattia Pellas, Maria Cristina Quattrini, Fabiana Piscitelli, Magdalena Kostrzewa, Fabio Di Domenico, Donatella Pietraforte, Tiziana Bisogno, Anna Signorile, Rosa Anna Vacca, Bianca De Filippis
Publikováno v:
Molecular Autism, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Background Defective mitochondria and aberrant brain mitochondrial bioenergetics are consistent features in syndromic intellectual disability disorders, such as Rett syndrome (RTT), a rare neurologic disorder that severely affects mainly fem
Externí odkaz:
https://doaj.org/article/8f0a63e3f3f04232b7cd24a12f9c6f55
Autor:
Bianca de Almeida-Pititto, Julia Ines Branda, Julia M. de Oliveira, Patrícia M. Dualib, Luisa Bittencourt de Aquino Fernandes Dias, Isabela M. Bensenor, Paulo A. Lotufo, Sandra Roberta G. Ferreira
Publikováno v:
Endocrines, Vol 5, Iss 3, Pp 418-429 (2024)
Background: Type 2 diabetes mellitus (DM) is an important disease with an impact on public health globally. Early assessment is necessary with accessible markers, such as the TG/HDL ratio, in predicting DM. Methods: A total of 11,653 subjects from th
Externí odkaz:
https://doaj.org/article/203174fbb4b44c968f6916b0c3a732d1
Autor:
Arnaud Foulquier, Thibault Datry, Roland Corti, Daniel von Schiller, Klement Tockner, Rachel Stubbington, Mark O. Gessner, Frédéric Boyer, Marc Ohlmann, Wilfried Thuiller, Delphine Rioux, Christian Miquel, Ricardo Albariño, Daniel C. Allen, Florian Altermatt, Maria Isabel Arce, Shai Arnon, Damien Banas, Andy Banegas-Medina, Erin Beller, Melanie L. Blanchette, Joanna Blessing, Iola Gonçalves Boëchat, Kate Boersma, Michael Bogan, Núria Bonada, Nick Bond, Katherine Brintrup, Andreas Bruder, Ryan Burrows, Tommaso Cancellario, Cristina Canhoto, Stephanie Carlson, Núria Cid, Julien Cornut, Michael Danger, Bianca de Freitas Terra, Anna Maria De Girolamo, Rubén del Campo, Verónica Díaz Villanueva, Fiona Dyer, Arturo Elosegi, Catherine Febria, Ricardo Figueroa Jara, Brian Four, Sarig Gafny, Rosa Gómez, Lluís Gómez-Gener, Simone Guareschi, Björn Gücker, Jason Hwan, J. Iwan Jones, Patrick S. Kubheka, Alex Laini, Simone Daniela Langhans, Bertrand Launay, Guillaume Le Goff, Catherine Leigh, Chelsea Little, Stefan Lorenz, Jonathan Marshall, Eduardo J. Martin Sanz, Angus McIntosh, Clara Mendoza-Lera, Elisabeth I. Meyer, Marko Miliša, Musa C. Mlambo, Manuela Morais, Nabor Moya, Peter Negus, Dev Niyogi, Iluminada Pagán, Athina Papatheodoulou, Giuseppe Pappagallo, Isabel Pardo, Petr Pařil, Steffen U. Pauls, Marek Polášek, Pablo Rodríguez-Lozano, Robert J. Rolls, Maria Mar Sánchez-Montoya, Ana Savić, Oleksandra Shumilova, Kandikere R. Sridhar, Alisha Steward, Amina Taleb, Avi Uzan, Yefrin Valladares, Ross Vander Vorste, Nathan J. Waltham, Dominik H. Zak, Annamaria Zoppini
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract More than half of the world’s rivers dry up periodically, but our understanding of the biological communities in dry riverbeds remains limited. Specifically, the roles of dispersal, environmental filtering and biotic interactions in drivin
Externí odkaz:
https://doaj.org/article/aa0ba8794bf74e0daff98fc2a5abbcc7
Autor:
Bruce B Duncan, Maria Inês Schmidt, Paula A Bracco, Maria A Nunes, Kadhija A Cherubini, Cristina D Castilhos, Jainara Z Spagiari, Leony M Galliano, Ruben Ladwig, Fabricio B Del Vecchio, Anelita H M Del Vecchio, Michele Drehmer, Adriana Costa Forti, Cristina Façanha, Lenita Zajdenverg, Bianca de Almeida-Pititto, Rosângela Roginski Réa, Patrícia Medici Dualib
Publikováno v:
BMJ Open, Vol 14, Iss 10 (2024)
Objectives To evaluate a postpartum telephone-based lifestyle intervention to prevent diabetes in high-risk women with recent gestational diabetes mellitus (GDM).Design Multicentre parallel randomised clinical trial.Setting Specialised antenatal clin
Externí odkaz:
https://doaj.org/article/38bf2c35d3764c4e80c95f779440d9e6
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objective Children with Down syndrome (DS) have high rates of chronic health conditions (CHCs) which can affect special education needs and primary school placement (mainstream or special). We assessed timing and type of CHC by year-specific primary
Externí odkaz:
https://doaj.org/article/bc21b526ef314fdd8d47bc27b2030917
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Introduction Without accounting for the underlying need for Special Educational Needs (SEN) provision, pupils with SEN in England have been shown to have higher rates of unauthorised absences. Objectives and Approach Our objective was to understand t
Externí odkaz:
https://doaj.org/article/cfdecb3388a64aeaa1d182b4177d52f6
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objective and Approach We explored variation in special educational needs (SEN) provision between local authorities (LAs) in England by focussing on children born preterm (24-
Externí odkaz:
https://doaj.org/article/a24afcd334894384b05e53ec79f8d98f
Autor:
Richard Silverwood, Gergo Baranyi, Lisa Calderwood, Bianca De Stavola, George Ploubidis, Katie Harron
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objectives Analyses of population administrative data can often only be minimally adjusted due to the unavailability of a full set of control variables, leading to bias due to residual confounding. Cohort studies will often contain rich information o
Externí odkaz:
https://doaj.org/article/d0dfce8d7efd47c4b7ab24caf845cb4f
Autor:
Wilton Gustavo Gomes da Costa, Ricardo Santos, Willy Alves de Oliveira Soler, Bianca de Almeida Dantas
Publikováno v:
Revista Principia, Vol 62, Iss 0 (2025)
The Vehicle Routing Problem (VRP) is a classical optimization problem that aims to find routes for a fleet of vehicles to meet the demands of a set of customers. Due to its wide applicability, especially in the logistics sector, numerous VRP variants
Externí odkaz:
https://doaj.org/article/47d1df53330441808983751f3b650e16