Zobrazeno 1 - 10
of 1 626
pro vyhledávání: '"P, Vranckx"'
Publikováno v:
JPRAS Open, Vol 42, Iss , Pp 315-328 (2024)
Summary: Tuberous breast deformity is a congenital breast anomaly that emerges during puberty and is characterized by breast base constriction, breast hypoplasia, superior malposition of the inframammary fold, enlarged areola, herniation of breast ti
Externí odkaz:
https://doaj.org/article/21b949767e724a2ab1089e4536907212
Autor:
Rafaela Vaz Sousa Pereira, Mostafa EzEldeen, Estefania Ugarte-Berzal, Jennifer Vandooren, Erik Martens, Mieke Gouwy, Eva Ganseman, Jo Van Damme, Patrick Matthys, Jan Jeroen Vranckx, Paul Proost, Ghislain Opdenakker
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
SDF-1/CXCL12 is a unique chemotactic factor with multiple functions on various types of precursor cells, all carrying the cognate receptor CXCR4. Whereas individual biological functions of SDF-1/CXCL12 have been well documented, practical application
Externí odkaz:
https://doaj.org/article/a3beb009fdca434c94d95233677ef312
Autor:
Shivi Chopra, Myrthel Vranckx, Anna Ockerman, Peter Östgren, Carina Krüger-Weiner, Daniel Benchimol, Sohaib Shujaat, Reinhilde Jacobs
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract Prediction of lower third molar eruption is crucial for its timely extraction. Therefore, the primary aim of this study was to investigate the prediction of lower third molar eruption and its uprighting with the assistance of an artificial i
Externí odkaz:
https://doaj.org/article/6c1c2fb97e3e4a51b971fb15e73e96bc
Publikováno v:
B-ENT, Vol 20, Iss 1, Pp 58-60 (2024)
Nasal glial heterotopia (NGH), also known as nasal glioma, is a rare congenital malformation in which a mature glial cell mass is found in a location other than the central nervous system. These benign masses are divided into 3groups based on localiz
Externí odkaz:
https://doaj.org/article/c2f45a7d2ad143f4961c1fddaa9abaa1
Autor:
L. Vitali, K. Cuvelier, A. Piersanti, A. Monteiro, M. Adani, R. Amorati, A. Bartocha, A. D'Ausilio, P. Durka, C. Gama, G. Giovannini, S. Janssen, T. Przybyła, M. Stortini, S. Vranckx, P. Thunis
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 6029-6047 (2023)
A standardized methodology for the validation of short-term air quality forecast applications was developed in the framework of the Forum for Air quality Modeling (FAIRMODE) activities. The proposed approach, focusing on specific features to be check
Externí odkaz:
https://doaj.org/article/08cc992e96c24c11949f9c3ac93ca8da
Autor:
Nick Versmessen, Marieke Mispelaere, Marjolein Vandekerckhove, Cedric Hermans, Jerina Boelens, Katleen Vranckx, Filip Van Nieuwerburgh, Mario Vaneechoutte, Paco Hulpiau, Piet Cools
Publikováno v:
Diagnostics, Vol 14, Iss 16, p 1800 (2024)
Whole-genome sequencing (WGS) is revolutionizing clinical bacteriology. However, bacterial typing remains investigated by reference techniques with inherent limitations. This stresses the need for alternative methods providing robust and accurate seq
Externí odkaz:
https://doaj.org/article/73acf6921a3b400fb8de34ac3161dc25
Autor:
Martine Van Poppel, Jan Peters, Stijn Vranckx, Jo Van Laer, Jelle Hofman, Bram Vandeninden, Charlotte Vanpoucke, Wouter Lefebvre
Publikováno v:
Atmosphere, Vol 15, Iss 7, p 757 (2024)
Mobile monitoring is used as an additional tool to collect air quality data at a high spatial resolution and to complement data from fixed air quality stations. Citizens are interested in contributing to air quality monitoring, and while the availabi
Externí odkaz:
https://doaj.org/article/69d5641787444261b703c514650e8094
Publikováno v:
Chemometrics and Intelligent Laboratory Systems, 2021, Volume 208
Quadratic discriminant analysis (QDA) is a widely used classification technique. Based on a training dataset, each class in the data is characterized by an estimate of its center and shape, which can then be used to assign unseen observations to one
Externí odkaz:
http://arxiv.org/abs/2008.12974
Publikováno v:
Statistics and Computing, 2021, Volume 31, article 66
The minimum regularized covariance determinant method (MRCD) is a robust estimator for multivariate location and scatter, which detects outliers by fitting a robust covariance matrix to the data. Its regularization ensures that the covariance matrix
Externí odkaz:
http://arxiv.org/abs/2008.02046
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