Results 51 to 60 of about 41,474 (267)
Metric-Affine Geometries with Spherical Symmetry [PDF]
Symmetry, 2020 We provide a comprehensive overview of metric-affine geometries with spherical symmetry, which may be used in order to solve the field equations for generic gravity theories which employ these geometries as their field variables. We discuss the most general class of such geometries, which we display both in the metric-Palatini formulation and in the ...
openaire +2 more sources
Geometry-aware metric learning [PDF]
Proceedings of the 26th Annual International Conference on Machine Learning, 2009 In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pair-wise (dis-)similarity constraints, we learn a kernel matrix over the data that respects the provided side-information as well as the local geometry of the data.
Zhengdong Lu +2 more
openaire +1 more source
FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
nAdder: A scale-space approach for the 3D analysis of neuronal traces.
PLoS Computational Biology, 2022 Tridimensional microscopy and algorithms for automated segmentation and tracing are revolutionizing neuroscience through the generation of growing libraries of neuron reconstructions.
Minh Son Phan +4 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source
Geometry of Twisted Sasaki Metric
Journal of Geometry and Symmetry in Physics, 2019 The Sasaki metric was introduced in [\textit{W. Klingenberg} and \textit{S. Sasaki}, Tohoku Math. J. (2) 27, 49--56 (1975; Zbl 0309.53036)]. Its attractive nature has enticed many geometers to study its and its related structures [\textit{K. Yano} and \textit{S. Ishihara}, Tangent and cotangent bundles. Differential geometry.
Belarbi, Lakehal, Elhendi, Hichem
openaire +3 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Accessing brain magnetic resonance imaging (MRI) can be challenging, especially for underserved patients, which may lead to disparities in neurological diagnosis. Method This mixed‐methods study enrolled adults with one of four neurological disorders: mild cognitive impairment or dementia of the Alzheimer type, multiple sclerosis ...
Maya L. Mastick +19 more
wiley +1 more source
CONVERGENCE IN METRIC DIFFERENTIAL GEOMETRY
Communications of the Korean Mathematical Society, 2003 Summary: We use geometric properties of Gromov-Hausdorff-con-vergence to present a way to construct rough but natural invariants of metric geometry.
Kim, Young Wook, Lee, Hyoung Yong
openaire +2 more sources
Functional and Structural Evidence of Neurofluid Circuit Aberrations in Huntington Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Disrupted neurofluid regulation may contribute to neurodegeneration in Huntington disease (HD). Because neurofluid pathways influence waste clearance, inflammation, and the distribution of central nervous system (CNS)–delivered therapeutics, understanding their dysfunction is increasingly important as targeted treatments emerge.
Kilian Hett +8 more
wiley +1 more source