Results 31 to 40 of about 167 (120)
Quantitative Metrics for Edge Bundling of Network Visualizations
Abstract Edge bundling is widely used for reducing visual clutter in large 2D network and trajectory visualizations. Various edge bundling methods have been proposed, each producing qualitatively distinct outputs for the same data; however, few quantitative metrics exist for systematic evaluation. In this paper, we propose a set of quantitative metrics
M. Wallinger +3 more
wiley +1 more source
Geometry‐Aware Alignment and Comparison of Hierarchical Morse Complexes with Applications
Abstract Scalar fields derived from 3D X‐ray CT scans of samples undergoing ex situ processes, such as thermal aging, chemical etching, or mechanical stress, pose unique challenges for characterizing similarities and differences across acquisitions. Typically, a sample A (source) is imaged, removed, and subjected to experimental conditions that alter ...
Aniketh Venkat +3 more
wiley +1 more source
CLusterix: A Hybrid Visualization Model for Hierarchically Clustered Networks
Abstract We introduce Clusterix, a novel hybrid visualization model for representing hierarchically clustered networks, which also supports directed and weighted edges. Clusterix offers an integrated view of both the network and its full cluster hierarchy by compactly visualizing the cluster inclusion tree enriched with links of the network.
Carla Binucci +6 more
wiley +1 more source
Primary forests hosted more diurnal species and exhibited significant diel specialization. Secondary forests were less species‐rich, dominated by invasive ants, with reduced diel partitioning and more species active at night. Although the overall ant activity was higher during the day, this pattern was stratum‐dependent: arboreal and terrestrial ants ...
Jan Lenc +4 more
wiley +1 more source
Linking the Comparison and Graphical Approaches to Bipartite Matching
Summary Bipartite record linkage has the goal of identifying observations referring to the same individual, called coreferent observations, across two distinct non‐duplicated datasets. The two main approaches to solve this task are the Fellegi–Sunter model, which relies on pairwise comparisons of observations, and the graphical record linkage model ...
Edoardo Redivo
wiley +1 more source
Abstract We address the scheduling conflicting jobs on parallel identical machines problem with makespan minimization, a classical and computationally challenging variant of parallel machine scheduling. We develop and evaluate three distinct solution methodologies: a novel constraint programming (CP) formulation, and two metaheuristics: a multi ...
Roberto Maria Rosati +3 more
wiley +1 more source
How to optimise tournament draws: The case of the FIFA World Cup
Abstract The organisers of major sports competitions use different policies with respect to constraints in the group draw. Our paper aims to rationalise these choices by analysing the trade‐off between attractiveness (the number of games played by teams from the same geographic zone) and fairness (the departure of the draw mechanism from a uniform ...
László Csató
wiley +1 more source
Natural Variation in GmSL20 Improves Seed Size and Quality in Soybean
ABSTRACT Seed size plays an important role in determining crop yield, yet the genetic mechanisms underlying the regulation of this agronomic trait remain incompletely understood in soybean. Here, we perform a genome‐wide association study mapping with seed length variations and identify a major quantitative trait locus (QTL) on chromosome 20, named ...
Yuechuan Luo +12 more
wiley +1 more source
Abstract Single‐cell multi‐omics sequencing technology provides a powerful tool for studying cellular heterogeneity. However, beyond the challenges of sparsity, heterogeneity, and dimensionality differences, a critical challenge in multi‐omics data integration lies in preserving the true regulatory relationships among molecular features.
Yucheng Lu, Xun Zhang, Hongwei Li
wiley +1 more source
Abstract Genome–phenome association (GPA) prediction can broaden the understanding of biological mechanisms underlying complex phenotypic traits (e.g., diseases and agronomic traits). Traditional deep matrix factorization (DMF)‐based GPA methods can integrate multiple data types and uncover nonlinear associations but often rely on low‐dimensional ...
Ran Duan +4 more
wiley +1 more source

