Results 111 to 120 of about 25,540,292 (347)

Real‐World Performance of CSF Kappa Free Light Chains in the 2024 McDonald Criteria

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Kappa free light chains (KFLCs) in the cerebrospinal fluid (CSF) have a similar performance to CSF‐restricted oligoclonal bands (OCB) for multiple sclerosis (MS) diagnosis. To help with implementation, we set out to resolve several remaining uncertainties: (1) performance in a real‐world cohort and the 2024 McDonald criteria; (2 ...
Maya M. Leibowitz   +11 more
wiley   +1 more source

Telerobotic controller development [PDF]

open access: yes
To meet NASA's space station's needs and growth, a modular and generic approach to robotic control which provides near-term implementation with low development cost and capability for growth into more autonomous systems was developed.
Kesler, L. O.   +3 more
core   +1 more source

vPlot [PDF]

open access: yes, 2018
Robotic systems under development in the Santa Clara University Robotic Systems Laboratory (RSL) generate large amounts of data that must be interpreted in real-time. Many dimensions of this data must be visualized at once, such as temperature, location,
Gasperina, Dante Dalla   +3 more
core   +1 more source

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

open access: yesAnnals 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

A Robotic CAD System using a Bayesian Framework [PDF]

open access: yes, 2000
We present in this paper a Bayesian CAD system for robotic applications. We address the problem of the propagation of geometric uncertainties and how esian CAD system for robotic applications.
Bessiere, Dr P   +2 more
core   +3 more sources

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single‐Cell and Spatial Transcriptomics

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu   +10 more
wiley   +1 more source

Strain distribution in the anterior cruciate ligament in response to anterior drawer force to the knee

open access: yesJournal of Biomechanical Science and Engineering, 2017
In the present study, an image correlation method was used to determine the site-dependent strain in the porcine anterior cruciate ligament (ACL). In particular, the strain of the ACL in the femoral and tibial attachment areas was quantified when the ...
Satoshi YAMAKAWA   +2 more
doaj   +1 more source

Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende   +26 more
wiley   +1 more source

The adoption of ICT and robotic automation systems in the pharmaceutical industry

open access: yesSouth African Journal of Information Management
Background: South African pharmacies face challenges like cost reduction, inventory management, and employee efficiency. Balancing dispensing error rates and customer satisfaction, along with ensuring accurate medication dispensing, is also crucial.
Kebashnee Moodley, Ross James
doaj   +1 more source

Human Action Recognition by Learning Spatio-Temporal Features With Deep Neural Networks

open access: yesIEEE Access, 2018
Human action recognition is one of the fundamental challenges in robotics systems. In this paper, we propose one lightweight action recognition architecture based on deep neural networks just using RGB data.
Lei Wang   +5 more
doaj   +1 more source

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