Results 71 to 80 of about 107,750 (302)

Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini   +28 more
wiley   +1 more source

Quantum Error Correction Using Graph Neural Networks [PDF]

open access: yes, 2021
A graph neural network (GNN) is constructed and trained with a purpose of using it as a quantum error correction decoder for depolarized noise on the surface code.
Bergentall, Valdemar
core  

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi   +8 more
wiley   +1 more source

Evolutionary fuzzy learning for Chinese medicine liver syndrome differentiation

open access: yesSystems Science & Control Engineering
As a basic principle in traditional Chinese medicine (TCM), syndrome differentiation is a comprehensive analysis of clinical information to provide evidence for treatment, which is a task that heavily relies on the subjective experience of TCM doctors ...
Jia-Yu Yan   +6 more
doaj   +1 more source

GAD65 Antibody ELISA With Extended Reportable Range: Validation and Guidance for Neurological Practice

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To (1) validate GAD65‐ELISA detection and quantification for type 1 diabetes mellitus and autoimmune neurological diagnoses, (2) correlate ELISA results (reference range < 5 IU/mL) with established radioimmunoprecipitation assay (RIA; ≤ 0.02 nmol/L), and (3) define ELISA clinical utility and pitfalls.
Andrew McKeon   +11 more
wiley   +1 more source

Codes on s-periodic errors

open access: yesRatio Mathematica, 2012
In this paper, we study linear codes capable of detecting and correcting s-periodic errors. Lower and upper bounds on the number of parity check digits required for codes detecting such errors are obtained.
Pankaj Kumar Das, Vinod Tyagi
doaj  

Experimentally informed decoding of stabilizer codes based on syndrome correlations

open access: yesPhysical Review Research
High-fidelity decoding of quantum error correction codes relies on an accurate experimental model of the physical errors occurring in the device. Because error probabilities can depend on the context of the applied operations, the error model is ideally ...
Ants Remm   +11 more
doaj   +1 more source

Prefixless q-ary Balanced Codes with Fast Syndrome-Based Error Correction

open access: yes, 2018
We investigate a Knuth-like scheme for balancing q-ary code words, which has the virtue that lookup tables for coding and decoding the prefix are avoided by using precoding and error correction techniques.
Weber, Jos H.   +10 more
core   +1 more source

Constructions for measuring error syndromes in Calderbank-Shor-Steane codes between Shor and Steane methods

open access: yes, 2021
In another work [S. Huang and K. R. Brown, Phys. Rev. Lett. 127, 090505 (2021)10.1103/PhysRevLett.127.090505] we introduced syndrome extraction methods for Calderbank-Shor-Steane quantum error-correction codes that interpolate between the well-known Shor
Brown, Kenneth R., Huang, Shilin
core   +1 more source

RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu   +21 more
wiley   +1 more source

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