Results 61 to 70 of about 66,278 (245)
International Journal of Applied Earth Observations and GeoinformationThree-dimensional (3-D) structural characterization of urban environments plays a vital role in smart city development, where SAR tomography (TomoSAR) has emerged as a pivotal technique for resolving vertical scatterer distributions.
Youjun Wang +6 more
doaj +1 more source
Generalized Extreme Value Regression for Binary Rare Events Data: an Application to Credit Defaults [PDF]
The most used regression model with binary dependent variable is the logistic regression model. When the dependent variable represents a rare event, the logistic regression model shows relevant drawbacks.
Raffaella Calabrese +1 more
core
Advanced Healthcare Materials, EarlyView.Metallofullerenol Sc3N@C80(OH)18 demonstrates strong radioprotective properties as a scavenger of both short‐ and long‐lived radicals. The study reveals protection of human erythrocytes from γ‐radiation–induced biochemical damage via post‐irradiation removal of primary and secondary reactive oxidants, supported by pulse radiolysis kinetics.
Jacek Grebowski +6 more
wiley +1 more source
Group Lasso for high dimensional sparse quantile regression models [PDF]
, 2011 This paper studies the statistical properties of the group Lasso estimator for high dimensional sparse quantile regression models where the number of explanatory variables (or the number of groups of explanatory variables) is possibly much larger than ...
Kato, Kengo
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Advanced Healthcare Materials, EarlyView.This manuscript describes the cultivation of viable microvessels from cryopreserved human brain tissue. When embedded in hydrogels and cultured in microfluidic devices, these microvessels exhibit complex architectures reminiscent of arterioles and capillaries, can be perfused, and display intact barrier function. Collectively, these results demonstrate
Brian J. O'Grady +5 more
wiley +1 more source
MathematicsThe Gegenbauer autoregressive moving-average (GARMA) model is pivotal for addressing non-additivity, non-normality, and heteroscedasticity in real-world time-series data.
Oumaima Essefiani +2 more
doaj +1 more source
Nonparametric regression with the scale depending on auxiliary variable
, 2013 The paper is devoted to the problem of estimation of a univariate component in a heteroscedastic nonparametric multiple regression under the mean integrated squared error (MISE) criteria. The aim is to understand how the scale function should be used for
Efromovich, Sam
core +1 more source
Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate
Advanced Materials, EarlyView.High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu +8 more
wiley +1 more source
MathematicsCompeting risks modeling plays a pivotal role in both reliability analysis for scientific and engineering fields and survival analysis within medical research.
Farouq Mohammad A. Alam +2 more
doaj +1 more source
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source