Results 111 to 120 of about 343,323 (262)

Comparing a diffusion tensor and non-tensor approach to white matter fiber tractography in chronic stroke

NeuroImage: Clinical, 2015
Diffusion tensor imaging (DTI)-based tractography has been used to demonstrate functionally relevant differences in white matter pathway status after stroke. However, it is now known that the tensor model is insensitive to the complex fiber architectures
A.M. Auriat, M.R. Borich, N.J. Snow, K.P. Wadden, L.A. Boyd   +4 more
doaj   +1 more source

Deconvolution Estimation in Measurement Error Models: The R Package decon [PDF]

Data from many scientific areas often come with measurement error. Density or distribution function estimation from contaminated data and nonparametric regression with errors in variables are two important topics in measurement error models.
Bin Wang, Xiao-Feng Wang
core  

Synergistic Interfacial Regulation by Nano‐TiO2 and Carboxylated Cellulose Nanofibers for Multiscale Surface Stabilization of Cementitious Composites

Advanced Materials Technologies, EarlyView.
Nano‐TiO2 and carboxylated cellulose nanofibers jointly regulate hydration‐product distribution in cementitious composites. Improved microstructural continuity and refined pore structure accompany enhanced strength and surface stability without a substantial increase in overall hydration.
Kailun Chen, Peifeng Wu, Jason Scott, Fulin Qu, Caiyu Zhao, Zhaocheng Li, Zi Gu, Dewei Chu, Wengui Li   +8 more
wiley   +1 more source

Sharp minimaxity and spherical deconvolution for super-smooth error distributions

Journal of Multivariate Analysis, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kim, Peter T, Koo, Ja-Yong, Park, Heon Jin   +2 more
openaire   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

Advanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi, Ahmadreza Argha, Nona Farbehi, Ivan Bakhshayeshi, Thantrira Porntaveetus, Youqiong Ye, Nigel H. Lovell, Hamid Alinejad‐Rokny   +7 more
wiley   +1 more source

A pitfall in the reconstruction of fibre ODFs using spherical deconvolution of diffusion MRI data

Diffusion weighted (DW) MRI facilitates non-invasive quantification of tissue microstructure and, in combination with appropriate signal processing, three-dimensional estimates of fibrous orientation.
Marshall, Andrew David, Jones, Derek K., Richmond, Stephen, Parker, Greg, Rosin, Paul L., Drage, Nicholas   +5 more
core   +2 more sources

mljs/global-spectral-deconvolution: v12.1.6

<h2><a href="https://github.com/mljs/global-spectral-deconvolution/compare/v12.1.5...v12.1.6">12.1.6</a> (2024-03-09)</h2> <h3>Bug Fixes</h3> <ul> <li>keep peaks if broad shape does not match well (<a ...
Kevin M Jablonka, Andres Castillo, cheminfo-bot, Michaël Zasso, Luc Patiny, Miguel Angel Asencio Hurtado, Jose Alejandro Bolanos Arroyave, Wadjih Bencheikh, mljs-bot   +8 more
core   +1 more source

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

Advanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao, Na Zhou, Ruotong Liu, Xiaofei Li, Jian Li, Fuzhong Xue, Qingzhen Hou   +6 more
wiley   +1 more source

Nonparametric confidence bands in deconvolution density estimation [PDF]

Uniform confidence bands for densities f via nonparametric kernel estimates were first constructed by Bickel and Rosenblatt [Ann. Statist. 1, 1071.1095].
Bissantz, Nicolai, Holzmann, Hajo, Dümbgen, Lutz, Munk, Axel   +3 more
core