Results 61 to 70 of about 570,593 (283)
Cracking the Code: Genotype–Phenotype Correlation Models in Sarcoglycanopathies
ABSTRACT Objective Sarcoglycanopathies are among the most severe limb‐girdle muscular dystrophies (LGMD), though milder presentations have been described. These diseases are primarily caused by missense variants, but the limited predictability of their effect on protein maturation, complex formation, and transport has hindered reliable genotype ...
Leonela Luce +72 more
wiley +1 more source
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
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
A Systematic Comparison of Alpha‐Synuclein Seed Amplification Assays for Increasing Reproducibility
ABSTRACT Seed amplification assays (SAAs) enable ultrasensitive detection of misfolded α‐synuclein across biofluids and tissues. Yet, heterogeneity in protocols limits cross‐study comparability and clinical translation. Here, we review α‐synuclein SAA methods and their performance across various biological matrices.
Manuela Amaral‐do‐Nascimento +3 more
wiley +1 more source
Modelling intra-daily volatility by functional data analysis: an empirical application to the spanish stock market [PDF]
We propose recent functional data analysis techniques to study the intra-daily volatility. In particular, the volatility extraction is based on functional principal components and the volatility prediction on functional AR(1) models.
Alva, Kenedy, Romo, Juan, Ruiz, Esther
core +2 more sources
ABSTRACT Background X‐linked adrenoleukodystrophy (X‐ALD) is a neurometabolic disorder caused by pathogenic variants in ABCD1, leading to slowly progressive spinal cord disease in nearly all affected men. Sensitive biomarkers to quantify disease severity and predict progression are needed for clinical care and trial design.
Eda G. Kabak +4 more
wiley +1 more source
Fast CU Partition and Intra Mode Decision Method for H.266/VVC
The Versatile Video Coding (H.266/VVC) standard has developed by Joint Video Exploration Team (JVET). Compared with the previous generation video coding standard, the H.266/VVC is more outstanding.
Qiuwen Zhang +3 more
doaj +1 more source
Event-based Failure Prediction in Distributed Business Processes
Traditionally, research in Business Process Management has put a strong focus on centralized and intra-organizational processes. However, today's business processes are increasingly distributed, deviating from a centralized layout, and therefore calling ...
Borkowski, Michael +4 more
core +2 more sources
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio +8 more
wiley +1 more source
Architecture of Intra Prediction for High Efficiency Video Coding
This paper explains intra prediction method for High Efficiency Video Coding(HEVC).Intra prediction removes correlation of adjacent samples in spatial domain.Intra predictor requires reference images which are stored in external memory.Memory access is ...
Jong-sik PARK, Seong-soo LEE
doaj
New Reconfigurable Implementation of Parallel Intra Prediction Algorithm in Versatile Video Coding
Versatile Video Coding (VVC/H.266) introduces significantly enhanced intra prediction technique compared to its predecessors, leading to notable compression efficiency gains, especially for high-resolution and screen content. However, these improvements
Wahiba Menasri +2 more
doaj +1 more source

