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Reliability Index of Caisson Breakwaters for Load variables correlated

海洋工程：英文版 2004年第4期18卷 577-584页

作者：郄禄文李炎保 School of Civil Engineering Tianjin University Tianjin 300072 China College of Machinery and Civil Engineering Hebei University Baoding 071002 China School of Civil Engineering Tianjin University Tianjin 300072 China

In order to suit the condition that the wave uplift is correlated with the horizontal wave load acting on a vertical breakwater, a generally used method for determining the reliability index β of the breakwater, i.e. the Hasofer-Lind method, is extended in a generalized stochastic space for correlative variables. The computational results for a caisson breakwater indicate that the value of β for the case of correlated variables is obviously smaller than that for the case of independent variables.

关键词： caisson breakwater reliability correlated variables

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Study of Partial Coefficients for Design of Semicircular Breakwaters

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China Ocean Engineering 2010年第1期24卷 29-40页

作者：郄禄文 Byung Ho CHOI College of Civil Engineering Hebei University Department of Civil and Environmental Engineering Sungkyunkwan University300 Chunchun-dongJangan-GuSuwon

In the present study, the reliability design of semicircular breakwater is based on the verification of the rules defined by standard specifications, where partial coefficients are introduced to ensure safety. The reliability of the semicircular breakwaters has been analyzed by using the Hasofer-Lind method to determine the reliability index of structure that has correlated loads, utilizing the long-term observed wave data at a given place. The relation curve between reliability index and safety factor in the traditional design method, as well as the relationships between reliability index and partial coefficients, have been obtained. This paper proposes values of partial coefficients for the design expression of semicircular breakwaters in the cases of anti-sliding and anti-overturning.

关键词： partial coefftcient reliability index correlated variables semicircular breakwater

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High-dimensional supervised classification in a context of non-independence of observations to identify the determining SNPs in a phenotype

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Infectious Disease Modelling 2023年第4期8卷 1079-1087页

作者： Aboubacry Gaye Abdou Ka Diongue Lionel Nanguep Komen Amadou Diallo Seydou Nourou Sylla Maryam Diarra Cheikh Talla Cheikh Loucoubar Laboratory for Studies and Research in Statistics and Development Gaston Berger University of Saint LouisSenegal Epidemiology Clinical Research and Data Science UnitInstitute Pasteur de Dakar220DakarSenegal African Institute for Mathematical Sciences(AIMS) Senegal Information and Communication Technologies for Development Alioune Diop University of BambeySenegal

This work addresses the problem of supervised classification for highly correlated highdimensional data describing non-independent observations to identify SNPs related to a *** use a general penalized linear mixed model with a single random effect that performs simultaneous SNP selection and population structure adjustment in highdimensional prediction ***,the model simultaneously selects variables and estimates their effects,taking into account correlations between *** nucleotide polymorphisms(SNPs)are a type of genetic variation and each SNP represents a difference in a single DNA building block,namely a *** research has shown that SNPs can be used to identify the correct source population of an individual and can act in isolation or simultaneously to impact a *** this regard,the study of the contribution of genetics in infectious disease phenotypes is of great *** this study,we used uncorrelated variables from the construction of blocks of correlated variables done in a previous work to describe the most related observations of the *** model was trained with 90%of the observations and tested with the remaining 10%.The best model obtained with the generalized information criterion(GIC)identified the SNP named rs2493311 located on the first chromosome of the gene called PRDM16((PR/SET domain 16))as the most decisive factor in malaria attacks.

关键词： Non independence of observations correlated variables High-dimensional supervised classification SNP Phenotype

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