Results 91 to 100 of about 18,789,701 (250)

Thalamo‐Lesional Connectivity Signatures of Bilateral Tonic–Clonic Seizures in Focal Cortical Dysplasia‐Related Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie, Xiaotong Li, Venkata Sita Priyanka Illapani, Leigh N. Sepeta, Jason Schroeder, Chima O. Oluigbo, Madison M. Berl, William D. Gaillard, Nathan T. Cohen   +8 more
wiley   +1 more source

3D Point Cloud–Based Digital Twin Reconstruction and VR Immersive Visualization of Borobudur’s Hidden Foot Reliefs [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
The Borobudur Temple’s Hidden Foot (Karmawibhangga layer), comprising 160 bas-relief panels sealed behind protective stone cladding since the early 20th century, presents a compelling challenge for digital cultural heritage practice.
S. Takatori, J. Gao, L. Li, F. I. Thufail, Brahmantara, S. Tanaka   +5 more
doaj   +1 more source

Advancing Stroke Clinical Trials Using Community Engagement and Implementation Science Approaches

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Stroke clinical trials are essential for advancing stroke care but can face challenges with recruitment, retention, clinical relevance, and translation into real‐world practice. We propose that integrating community engagement and implementation science approaches into stroke trials can help address these needs.
Lesli E. Skolarus, Devin L. Brown, Bernadette Boden‐Albala   +2 more
wiley   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

CT45A1‐mediated MLC2 (MYL9) phosphorylation promotes natural killer cell resistance and outer cell fate in a cell‐in‐cell structure, potentiating the progression of microsatellite instability‐high colorectal cancer

Molecular Oncology
Patients with microsatellite instability‐high (MSI‐H) colorectal cancer (CRC) have high tumor mutation burden and tumor immunogenicity, exhibiting a higher response rate to immunotherapy and better survival. However, a portion of MSI‐H CRC patients still
Hao‐Wei Teng, Hsiang‐Yueh Huang, Chun‐Chi Lin, Yuh‐Ching Twu, Wen‐Hao Yang, Wen‐Chun Lin, Hsin‐Yi Lan, Yen‐Yu Lin, Wei‐Lun Hwang   +8 more
doaj   +1 more source

Outer membrane vesicle loaded thin films as a stable room temperature vaccine platform

Frontiers in Biomaterials Science
The thermostability of vaccines is paramount to their efficacy, but many vaccines are highly sensitive to temperature fluctuations and depend on cold-chain systems to maintain their immunogenicity.
Nolan M. Randall, Julia Squissato, Cagla Numanoglu, William Dubois, Hannah Lee, Stephanie M. Curley   +5 more
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

Advanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora, Tales V. Lisbôa, Axel Spickenheuer, Rogério J. Marczak, Jakson M. Vassoler   +4 more
wiley   +1 more source

Air‐Pressure–Actuated Vibroacoustic Metamaterial With Tunable Bandgap: Design, Modeling, and Characterization

Advanced Engineering Materials, EarlyView.
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal, Michael M. Becker, Sarah C. L. Fischer   +2 more
wiley   +1 more source

Dataset of surface images for automated inspection of machined workpiecesZenodo

Data in Brief
This dataset comprises 593 high-resolution RGB images of machined workpiece surfaces, acquired using an industrial borescope integrated with a microscope camera and adjustable white LED illumination.
Virginia Riego del Castillo, Lidia Sánchez González   +1 more
doaj   +1 more source