Plus the diagnostic possibilities in individuals with Marfan syndrome.Supplementary Components
And the diagnostic possibilities in sufferers with Marfan syndrome.Supplementary Components: The following are offered on-line at .3390/genes12111836/s1, Figure S1: Phenotype with the mother and also the daughter; Figure S2: Family members 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.; computer software, 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 with the European Reference Network: J.F., E.L. All authors have read and agreed towards the published version of the manuscript. Funding: This investigation received no external funding. Institutional Overview Board Statement: The study was performed as outlined by the suggestions in the Declaration of Helsinki, and authorized by the Ethics Committee from the University of Freiburg. Ethical code number: 21-1364. Informed Consent Statement: Informed consent was obtained from all subjects involved in the study. Information Availability Statement: The information presented within this study are accessible on request from the corresponding author. Acknowledgments: The authors are grateful towards the sufferers for supporting this study. We would prefer to thank the Marfan Foundation Michael Leinert for the valuable exchange and communication. We also thank the teams in the cytogenetic and molecular genetic laboratorys with the Institute of Human Genetics Freiburg, Germany, and the group in the 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 new Filter to improve Local Relief Model Performances As outlined by Neighborhood 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 Investigation 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 new Filter to enhance Nearby Relief Model Performances In line with Neighborhood Topography. Geomatics 2021, 1, 45063. geomatics1040026 Academic Editor: Francesca Cigna Received: 2 October 2021 Accepted: six November 2021 Published: 18 NovemberAbstract: The usage of Light Detection and Ranging (LiDAR) is becoming much more and much more popular in various landscape exploration domains Mouse Biological Activity including archaeology or geomorphology. So as to allow the detection of options of Aztreonam Biological Activity interest, visualization filters need to be applied to the raw Digital Elevation Model (DEM), to improve modest relief variations. Several filters have already been proposed for this purpose, for instance Sky View Issue, Slope, unfavorable and constructive Openness, or Local Relief Model (LRM). The efficiency of every single of these techniques is strongly dependent on t.