Self-evolving cognitive substrates through metabolic data processing and recursive self-representation with autonomous memory prioritization mechanisms. [PDF]
Nehzati M.
europepmc +1 more source
SNUPN‐Related Muscular Dystrophy: Novel Phenotypic, Pathological and Functional Protein Insights
ABSTRACT Objective SNUPN‐related muscular dystrophy or LGMDR29 is a new entity that covers from a congenital or childhood onset pure muscular dystrophy to more complex phenotypes combining neurodevelopmental features, cataracts, or spinocerebellar ataxia. So far, 12 different variants have been described.
Nuria Muelas +18 more
wiley +1 more source
Stiffness reprogrammable magnetorheological metamaterials inspired by spine for multibit visual mechanical information processing. [PDF]
Lou C +6 more
europepmc +1 more source
Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy
ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong +7 more
wiley +1 more source
Exploring the impact of urban vitality on carbon emission mechanisms using multi-source data. [PDF]
Zhang Y +7 more
europepmc +1 more source
Priority and dynamic quantum time algorithms for central processing unit scheduling [PDF]
Maysoon A. Mohammed
openalex
Internal variation temperature analysis and thermal mapping of a central processing unit (CPU) [PDF]
Moisés de Paula Gouvea +3 more
openalex +1 more source
ABSTRACT Background Neurodegeneration with brain iron accumulation (NBIA) comprises a genetically and clinically heterogeneous group of rare neurological disorders characterized particularly by iron accumulation in the basal ganglia. To date, 15 genes have been associated with NBIA.
Seda Susgun +95 more
wiley +1 more source
Evaluating the computing efficiencies (specificity and sensitivity) of graphics processing unit (GPU)-accelerated DNA sequence alignment tools against central processing unit (CPU) alignment tool [PDF]
Pawar Shrikant, Stanam Aditya, Zhu Ying
openalex +1 more source

