Acta Crystallographica Section A, EarlyView.This paper details the complete methodological framework implemented in the MIDAS software for processing high‐energy diffraction microscopy (HEDM) data. We describe the specific algorithms, coordinate systems and physical models used for both far‐field and near‐field HEDM analysis.
Hemant Sharma +2 more
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Realistic PET image synthesis from MRI for automated inference of brain atrophy and Alzheimer's. [PDF]
iScienceTheodorou B +5 more
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Acta Crystallographica Section A, EarlyView.This paper experimentally establishes the accuracy, robustness and performance limits of the high‐energy diffraction microscopy data reduction methodology. Using dedicated far‐field and near‐field datasets, it quantifies the influence of key analysis parameters, demonstrates computational efficiency, and establishes a framework of best practices to ...
Hemant Sharma +3 more
wiley +1 more source
Decoupling Size from Shape: Cellular Sheaf Laplacians as Ligand Geometry Descriptors for Binding Affinity Prediction. [PDF]
Int J Mol SciAkgüller Ö, Balcı MA, Cioca G.
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Real Estate Economics, EarlyView.Abstract We estimate the price impact of very nearby concurrently listed properties in the Sydney housing market and assess their competition effects. We apply a hedonic model with spatiotemporal effects regularized via a graph Laplacian prior at the month‐by‐SA2 regional level to seven SA4 subregions of metropolitan Sydney. The model structure enables
Willem P. Sijp, Mengheng Li
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Anomaly detection in smart power grids with graph-regularized MS-SVDD: a multimodal subspace learning approach. [PDF]
Sci RepDebelle T +3 more
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Existence of periodic solution for fourth-order generalized neutral p-Laplacian differential equation with attractive and repulsive singularities. [PDF]
J Inequal Appl, 2018 Xin Y, Liu H.
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Graph‐Laplacian modeling of spatiotemporal effects for house price estimation
Real Estate Economics, EarlyView.Abstract Many variables involve the modeling of spatial effects, and their dynamics over time. This article presents a linear model in which spatiotemporal random effects are modeled by graph‐Laplacians. A graph‐Laplacian flexibly encodes adjacency in both space and time, in our case not depending on unknown parameters. The graph‐Laplacian can be input
Willem P Sijp, Marc K. Francke
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Quantitative susceptibility mapping in pediatric neuroimaging: a systematic review of applications and advancements. [PDF]
Pediatr RadiolPacchiano F +8 more
europepmc +1 more source
Global existence and blow-up results for p-Laplacian parabolic problems under nonlinear boundary conditions. [PDF]
J Inequal Appl, 2018 Ding J.
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