Results 71 to 80 of about 357,344 (305)

Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications

FEBS Open Bio, EarlyView.
This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley   +1 more source

Extraction of Airways with Probabilistic State-space Models and Bayesian Smoothing

, 2017
Segmenting tree structures is common in several image processing applications. In medical image analysis, reliable segmentations of airways, vessels, neurons and other tree structures can enable important clinical applications. We present a framework for
C Florin, D Lesage, D Lesage, JH Pedersen, L Sørensen, MW Graham, O Friman, P Lo, P Lo, S Särkkä, T Lindeberg, Y Bar-Shalom   +11 more
core   +1 more source

Altered Dynamic Functional Network Connectivity in Post‐Stroke Aphasia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Previous studies examining post‐stroke aphasia (PSA) patients via resting‐state functional magnetic resonance imaging (rs‐fMRI) have predominantly focused on static functional connectivity. In contrast, the current investigation aims to elucidate the alterations in dynamic functional network connectivity (dFNC) among PSA patients ...
Guihua Xu, Yongsheng Wu, Junyu Qu, Rui Zhu, Wenwen Xu, Jiaxiang Xin, Dawei Wang   +6 more
wiley   +1 more source

PointSSM: State space model for large-scale LiDAR point cloud semantic segmentation

International Journal of Applied Earth Observations and Geoinformation
LiDAR point cloud semantic segmentation is the foundation of numerous practical applications. Recently, the Mamba, as a promising alternative to Transformer, has been getting intense attention in this field.
Dilong Li, Jianlong Guan, Ziyi Chen, Jingchen Liao, Jixiang Du   +4 more
doaj   +1 more source

Research on Fault Diagnosis of Rolling Bearing Based on Morlet Wavelet and Scale Space

机车电传动, 2021
Aiming at the difficulty of extracting the early fault features of rolling bearings, a rolling bearing fault diagnosis method based on Morlet wavelet and scale space was proposed.
Maohui WANG, Yong TANG, Haixiang LI, Ping YANG   +3 more
doaj  

Learning Hierarchical Shape Segmentation and Labeling from Online Repositories

, 2017
We propose a method for converting geometric shapes into hierarchically segmented parts with part labels. Our key idea is to train category-specific models from the scene graphs and part names that accompany 3D shapes in public repositories. These freely-
Guibas, Leonidas, Hertzmann, Aaron, Kim, Vladimir G., Su, Hao, Yi, Li, Yumer, Ersin   +5 more
core   +1 more source

Visual Recovery Reflects Cortical MeCP2 Sensitivity in Rett Syndrome

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rett syndrome (RTT) is a devastating neurodevelopmental disorder with developmental regression affecting motor, sensory, and cognitive functions. Sensory disruptions contribute to the complex behavioral and cognitive difficulties and represent an important target for therapeutic interventions.
Alex Joseph Simon, Nathalie Picard, Valeria d'Andrea, Enchi Chang, Joseph Leffler, Eleonora Centofante, Matthew Taylor, Francesca Bardi, Francesca Cavicchiolo, Takao K. Hensch, Stefano Panzeri, Chinfei Chen, Michela Fagiolini   +12 more
wiley   +1 more source

Regularizing Deep Networks by Modeling and Predicting Label Structure

, 2018
We construct custom regularization functions for use in supervised training of deep neural networks. Our technique is applicable when the ground-truth labels themselves exhibit internal structure; we derive a regularizer by learning an autoencoder over ...
Maire, Michael, Mostajabi, Mohammadreza, Shakhnarovich, Gregory   +2 more
core   +1 more source

Lesion Location and Functional Connections Reveal Cognitive Impairment Networks in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cognitive impairment, fatigue, and depression are common in multiple sclerosis (MS), potentially due to disruption of regional functional connectivity caused by white matter (WM) lesions. We explored whether WM lesions functionally connected to specific brain regions contribute to these MS‐related manifestations.
Alessandro Franceschini, Paolo Preziosa, Paola Valsasina, Damiano Mistri, Monica Margoni, Federica Esposito, Massimo Filippi, Maria A. Rocca   +7 more
wiley   +1 more source

Growth Differentiation Factor 15 Elevation in the Central Nervous System Is Associated With Failure to Thrive in Alexander Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Alexander disease (AxD) is a severe neurodegenerative disorder caused by gain‐of‐function mutations in the gene for GFAP, which lead to protein aggregation and a primary astrocytopathy. Symptoms vary, but failure to thrive (FTT) and frequent emesis are common and cause significant morbidity. Here we investigate GDF15, a member of the
Tracy L. Hagemann, Michelle M. Sonsalla, Cora Luzinski, Fernando Zacahua, David A. Harris, Dudley W. Lamming, Albee Messing   +6 more
wiley   +1 more source