Results 151 to 160 of about 399,077 (314)
A model-based clustering via mixture of hierarchical models with covariate adjustment for detecting differentially expressed genes from paired design. [PDF]
Zhang Y, Liu W, Qiu W.
europepmc +1 more source
An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut +16 more
wiley +1 more source
Decision-making in complex environments, especially sustainable ones, requires flexible methodologies to handle multiple criteria and stakeholder perspectives.
Miguel Ângelo Lellis Moreira +4 more
doaj +1 more source
Covid-19 hospital mortality using spatial hierarchical models: cohort design with 74,994 registers. [PDF]
Chiaravalloti Neto F +5 more
europepmc +1 more source
Coarse‐grained (left) and atomistic (right) models of the shape memory polymer ESTANE ETE 75DT3 are shown schematically. The two representations bridge molecular detail and mesoscopic description. Both models capture shape memory behavior, linking segmental mobility and conformational relaxation of anisotropic chains to macroscopic recovery, and ...
Fathollah Varnik
wiley +1 more source
Abstract IMPLEMENTING HIERARCHICAL AGENT-HUMAN TEAMWORKS [PDF]
The teamwork research defines several important concepts regarding the design of agents so that they are in fact able to play as members of a collaborative group.
Via Constraint-based Models
core
This review highlights advances in lightweight, lead‐free polymer nanocomposites for diagnostic X‐ray shielding. By linking filler chemistry, dispersion, architecture, and photon interaction mechanisms, it establishes structure–performance relationships guiding material design.
Aklilu G. Messele +2 more
wiley +1 more source
Bayesian hierarchical analysis on crash prediction models [PDF]
Traditional crash prediction models, such as generalized linear regression models, are incapable of taking into account the multilevel data structure, which extensively exists in crash data. Disregarding the possible within-group correlations can lead to
Huang, Helai +2 more
core
Bayesian hierarchical models incorporating study-level covariates for multivariate meta-analysis of diagnostic tests without a gold standard with application to COVID-19. [PDF]
Wang Z +5 more
europepmc +1 more source
Influence of Geometric Design on Mechanical Performance of Auxetic Metastructure
Strategic geometric reinforcement transforms auxetic performance. This study evaluates 3D‐printed arrowhead metastructures, revealing that a modified design with local ring reinforcement suppresses premature failure to achieve superior energy absorption and structural efficiency.
Muhammad Gulzari +3 more
wiley +1 more source

