Results 211 to 220 of about 43,564 (255)
Three populations of hair cells have a distinct expression of Calb1 and Calb2. (A, A′D) The central is highly positive for Calb1 while surrounding HC are positive for Calb2. Later, a calyx forms primarily with Calb1. (B, B′, D′, D″) Saccule and utricle start out positive for Calb2 but will upregulate the Calb1 in the striola that is primarily forming ...
Jeong Han Lee +6 more
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Abstract Background Fibrillins provide a scaffold for elastic fiber formation, which enables lung recoil and aortic compliance. Abnormal fibrillin microfibrils, as in Marfan syndrome, lead to enlarged alveoli, vascular stiffening, and aneurysms. Our earlier studies suggested that fibrillin function depends on O‐glucosylation of its epidermal growth ...
Sanjiv Neupane +4 more
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Topography constrains the climatic response of treeline migration in Taiwan's subalpine forests
Treelines are moving upslope, but the rates and drivers differ among different regions, globally. Many studies have examined the relationship between treeline movement and climate change, particularly rising temperature, while the role of topographical factors has received much less attention, despite the longstanding recognition of its importance.
Kuan‐Yu Chen +3 more
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Understanding how global change reshapes mountain plant communities is essential for predicting biodiversity and ecosystem function in a warming world. Using resurvey data from over 1400 non‐forest vegetation plots across the European Alps, we show that community‐weighted means of key functional traits capturing important dimensions of plant ecological
Sergey Rosbakh +2 more
wiley +1 more source
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Wiley Interdisciplinary Reviews: Computational Statistics, 2009
AbstractRidge regression is a popular parameter estimation method used to address the collinearity problem frequently arising in multiple linear regression. The formulation of the ridge methodology is reviewed and properties of the ridge estimates capsulated.
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AbstractRidge regression is a popular parameter estimation method used to address the collinearity problem frequently arising in multiple linear regression. The formulation of the ridge methodology is reviewed and properties of the ridge estimates capsulated.
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International Journal of Fuzzy Systems, 2019
Ridge regression model is a widely used model with many successful applications, especially in managing correlated covariates in a multiple regression model. Multicollinearity represents a serious threat in fuzzy regression models as well. We address this issue by combining ridge regression with the fuzzy regression model.
Seunghoe Choi +2 more
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Ridge regression model is a widely used model with many successful applications, especially in managing correlated covariates in a multiple regression model. Multicollinearity represents a serious threat in fuzzy regression models as well. We address this issue by combining ridge regression with the fuzzy regression model.
Seunghoe Choi +2 more
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Ridge regression:some simulations
Communications in Statistics, 1975An algorithm is given for selacting the biasing paramatar, k, in RIDGE regrassion. By means of simulaction it is shown that the algorithm has the following properties: (i) it produces an aberaged squared error for the regrassion coafficiants that is les than least squares, (ii) the distribuction of squared arrots for the regression coafficiants has a ...
Arthur E Hoerl
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