And also the diagnostic possibilities in individuals with Marfan syndrome.Supplementary Components
And also the diagnostic possibilities in individuals with Marfan syndrome.Supplementary Materials: The following are readily available online at https://www.mdpi.com/article/10 .3390/genes12111836/s1, Figure S1: Phenotype from the mother and the daughter; Figure S2: Family pedigree.Genes 2021, 12,7 ofAuthor Contributions: Conceptualization, A.C.S., K.K., B.H. and B.G.; methodology, P.D., J.N., S.J. and B.G.; application, P.D., J.N. and B.G.; validation, A.C.S., P.D., T.S., J.N. and B.G.; investigation, B.H., A.T. and E.L.; resources, B.G. and J.F.; writing–original draft preparation, A.C.S., B.H., K.K., B.G. and P.D.; writing–review and editing, A.C.S., K.K., B.H., P.D., J.N., A.T., S.J., E.L., J.F. and B.G.; visualization, B.G. and P.D.; supervision, J.F.; project administration, A.C.S. and B.G. Following authors of this publication are members from the European Reference Network: J.F., E.L. All authors have study and agreed to the published version on the manuscript. Funding: This analysis received no Polmacoxib In Vivo external funding. Institutional Assessment Board Statement: The study was carried out according to the guidelines on the Declaration of -Irofulven Technical Information Helsinki, and authorized by the Ethics Committee with the University of Freiburg. Ethical code number: 21-1364. Informed Consent Statement: Informed consent was obtained from all subjects involved inside the study. Data Availability Statement: The information presented in this study are obtainable on request in the corresponding author. Acknowledgments: The authors are grateful for the sufferers for supporting this study. We would like to thank the Marfan Foundation Michael Leinert for the beneficial exchange and communication. We also thank the teams from the cytogenetic and molecular genetic laboratorys from the Institute of Human Genetics Freiburg, Germany, and also the team of your Institute of Medical Genetics, Center for Pathobiochemistry and Genetics in the University of Vienna, Austria. Conflicts of Interest: The authors declare no conflict of interest.
ArticleSelf-AdaptIve Local Relief Enhancer (SAILORE): A brand new Filter to improve Nearby Relief Model Performances Based on Local TopographyJean-Pierre Toumazet 1, , Fran is-Xavier Simon two,3 and Alfredo Mayoral four,1 two 3GEOLAB, UniversitClermont Auvergne, CNRS, 63000 Clermont-Ferrand, France Inrap, DST, 75000 Paris, France; [email protected] Chrono-Environment, UMR 6249, UBFC, CNRS, 25000 Besan n, France Landscape Archaeology Study Group, Catalan Institute of Classical Archaeology-ICAC, 43003 Tarragona, Spain; [email protected] Correspondence: [email protected]; Tel.: +33-470-022-Citation: Toumazet, J.-P.; Simon, F.-X.; Mayoral, A. Self-AdaptIve Local Relief Enhancer (SAILORE): A brand new Filter to improve Local Relief Model Performances In accordance with Neighborhood Topography. Geomatics 2021, 1, 45063. https://doi.org/10.3390/ geomatics1040026 Academic Editor: Francesca Cigna Received: 2 October 2021 Accepted: 6 November 2021 Published: 18 NovemberAbstract: The use of Light Detection and Ranging (LiDAR) is becoming extra and more prevalent in different landscape exploration domains like archaeology or geomorphology. So that you can permit the detection of features of interest, visualization filters have to be applied towards the raw Digital Elevation Model (DEM), to improve little relief variations. A number of filters happen to be proposed for this objective, which include Sky View Aspect, Slope, adverse and constructive Openness, or Regional Relief Model (LRM). The efficiency of each of these strategies is strongly dependent on t.