Results 131 to 140 of about 2,272,583 (371)

Ternary Syndrome Decoding with Large Weight [PDF]

open access: yesarXiv, 2019
The Syndrome Decoding problem is at the core of many code-based cryptosystems. In this paper, we study ternary Syndrome Decoding in large weight. This problem has been introduced in the Wave signature scheme but has never been thoroughly studied. We perform an algorithmic study of this problem which results in an update of the Wave parameters.
arxiv  

Incidence of Epilepsies and Epileptic Syndromes in Children and Adolescents: A Population‐Based Prospective Study in Germany [PDF]

open access: bronze, 2001
Christine M. Freitag   +4 more
openalex   +1 more source

Clinical Insights Into Nabais Sá‐De Vries Syndrome due to a Novel SPOP Mutation: Neuromotor, Cognitive, Adaptive, Behavioral, and Neurovisual Features

open access: yesAmerican Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Nabais Sá‐De Vries syndrome (NSDVS) is an extremely rare autosomal dominant disorder caused by SPOP mutations. To date, only 10 cases have been described presenting with intellectual disability, neurological signs and symptoms, and a variable association of dysmorphic features.
Jessica Galli   +10 more
wiley   +1 more source

The relationship between dietary patterns and aggressive behavior in adolescent girls: A cross‐sectional study

open access: yesBrain and Behavior, Volume 12, Issue 12, December 2022., 2022
Abstract Background There are few studies about the relationship between dietary patterns and aggression. The aim of this study was to assess the relationship between the main dietary patterns and aggression scores among adolescent girls in Iran. Methods This cross‐sectional study was conducted on 670 adolescent girls.
Mahsa Malekahmadi   +8 more
wiley   +1 more source

Epileptic dyskinetic encephalopathy in KBG syndrome: Expansion of the phenotype

open access: yesEpilepsy & Behavior Reports
KBG syndrome is characterised by developmental delay, dental (macrodontia of upper central incisors), craniofacial and skeletal anomalies. Since the identification of variants in the gene (ANKRD11) responsible for KBG syndrome, wider phenotypes are ...
Eoin P. Donnellan   +3 more
doaj  

Correction of Data and Syndrome Errors by Stabilizer Codes [PDF]

open access: yesarXiv, 2016
Performing active quantum error correction to protect fragile quantum states highly depends on the correctness of error information--error syndromes. To obtain reliable error syndromes using imperfect physical circuits, we propose the idea of quantum data-syndrome (DS) codes that are capable of correcting both data qubits and syndrome bits errors.
arxiv  

Elucidating the Molecular Landscape of Cystic Kidney Disease: Old Friends, New Friends and Some Surprises

open access: yesAmerican Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Cystic kidney diseases (CyKD) are a diverse group of disorders affecting more than 1 in 1000 individuals. Over 120 genes are implicated, primarily encoding components of the primary cilium, transcription factors, and morphogens. Prognosis varies greatly by molecular diagnosis. Causal variants are not identified in 10%–60% of individuals due to
Deborah Watson   +10 more
wiley   +1 more source

Older patients with COVID‐19 and neuropsychiatric conditions: A study of risk factors for mortality

open access: yesBrain and Behavior, Volume 12, Issue 12, December 2022., 2022
Abstract Background Little is known about risk factors for mortality in older patients with COVID‐19 and neuropsychiatric conditions. Methods We conducted a multicentric retrospective observational study at Assistance Publique‐Hôpitaux de Paris. We selected inpatients aged 70 years or older, with COVID‐19 and preexisting neuropsychiatric comorbidities
Vi‐Huong Nguyen‐Michel   +23 more
wiley   +1 more source

Identification of epileptic regions from electroencephalographic data: Feigenbaum graphs [PDF]

open access: yesarXiv, 2019
Diagnosing epilepsy is a problem of crucial importance. So analysing EEG data is of much importance to help this diagnosis. Assembling the Feigenbaum graphs for EEG signals. And calculating their average clustering, average degree, and average shortest path length. We manage to characterize two different data sets from each other.
arxiv  

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