Experimental methods in chemical engineering: Temperature‐programmed desorption—TPD
Abstract Temperature‐programmed desorption (TPD) characterizes the surface active sites of functional materials, such as adsorbents (metal hydrides, porous carbons, zeolites, metal–organic frameworks, for example) and catalysts. Solids surfaces are pre‐treated to remove moisture, contaminants, and previously adsorbed species, then a probe molecule (NH3$
Daniel A. Valdivieso‐Vera +2 more
wiley +1 more source
Dynamic survival risk prediction with time‐varying high‐dimensional images
Abstract Integrating longitudinal data with survival models is a prevalent strategy for dynamic survival risk prediction while accounting for subjects' longitudinally observed variables. However, existing methods primarily focus on scalar longitudinal data and seldom tackle the complexities associated with high‐dimensional longitudinal imaging data ...
Bingfan Liu +7 more
wiley +1 more source
Abstract This article presents a strategy for conducting regression analysis of zero‐truncated recurrent event data. The research is partly motivated by a pediatric mental health care (PMHC) program based on administrative data. We are particularly interested in how the occurrence of an event depends on its past occurrences and the associated ...
Anqi A. Chen +3 more
wiley +1 more source
Vine copula knockoffs for variable selection in gene expression studies
Abstract Identifying clinical and genetic markers is essential for stratifying cancer patients by survival outcomes and guiding personalized treatment strategies. However, gene expression studies often involve high‐dimensional predictors with mixed data types and complex dependence, which complicates reliable variable selection.
José Ulises Márquez Urbina +3 more
wiley +1 more source
Computational analysis of tandem floating wind turbines under coupled pitch surge motion comparing NREL 5 MW And IEA 22 MW. [PDF]
Xie B +7 more
europepmc +1 more source
Optimal subsampling for regression with mixed‐type predictors
Abstract Subsampling has emerged as an appealing strategy to mitigate the computational and storage challenges imposed by large datasets. Recent subsampling techniques have shown notable computational gains for data dominated by numerical predictors. However, real‐world datasets frequently contain both numerical and categorical predictors.
Jiaqing Zhu, Lin Wang, Fasheng Sun
wiley +1 more source
Experimental and numerical investigation of the water-entry behavior of an inverted T-shaped beam. [PDF]
Li X, Zheng F.
europepmc +1 more source
Experimental-numerical analysis of added resistance to container ships under presence of wind-wave loads. [PDF]
Wang W +5 more
europepmc +1 more source
Abstract Homogeneous normalized random measures with independent increments represent a broad class of Bayesian nonparametric priors and thus are widely used. In this article, we obtain the strong law of large numbers, the central limit theorem (CLT), and the functional central limit theorem (fCLT) of such measures when the concentration parameter a ...
Junxi Zhang, Shui Feng, Yaozhong Hu
wiley +1 more source
Contrasting Flexible and Rigid Bioinspired Flapping Hydrofoils for Suspended Particles Discharge in Raceway Aquaculture. [PDF]
Xu F, Hua E, Xiang M.
europepmc +1 more source

