Results 81 to 90 of about 26,832 (297)
Natural Frequencies of Levodopa‐Induced Dyskinesia in Parkinson's Disease
ABSTRACT Objectives Abnormal involuntary movements, known as dyskinesias, are common complications of levodopa treatment in patients with Parkinson's disease and can significantly impair quality of life. The underlying pathophysiology remains unclear, and current therapeutic options are limited.
Ioannis U. Isaias +3 more
wiley +1 more source
State of the Art in Parallel Computing with R [PDF]
R is a mature open-source programming language for statistical computing and graphics. Many areas of statistical research are experiencing rapid growth in the size of data sets. Methodological advances drive increased use of simulations.
Hao Yu +5 more
core
A grid-based virtual reactor : parallel performance and adaptive load balancing
We address the problem of porting parallel distributed applications from static homogeneous cluster environments to dynamic heterogeneous Grid resources.
Korkhov, Vladimir V. +2 more
core +1 more source
ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian +6 more
wiley +1 more source
Parallel algorithm to find Bayes-Nash solution to the bimatrix informational extended game [PDF]
We propose to use the new methodology for solving the complete and perfect information bimatrix game. To solve the games of these type we construct the incomplete and imperfect information game generated by the informational extended strategies.
Boris Hancu, Anatolie Gladei
doaj
A Spark-Based Parallel Fuzzy
With the explosive growth of image big data in the agriculture field, image segmentation algorithms are confronted with unprecedented challenges. As one of the most important images segmentation technologies, the fuzzy c-means (FCMs) algorithm has been ...
Bin Liu +4 more
doaj +1 more source
ABSTRACT Background Hereditary Spastic Paraplegia (HSP) comprises a group of rare genetic diseases characterized by length‐dependent axonal degeneration of the corticospinal tracts and dorsal columns, whose main clinical feature is spastic gait. Pathogenic variants in the SPG4 gene cause Spastic Paraplegia Type 4 (SPG4‐HSP), the most common form of HSP.
Gaia Fattorini +12 more
wiley +1 more source
An Asymptotic Ensemble Learning Framework for Big Data Analysis
In order to enable big data analysis when data volume goes beyond the available computing resources, we propose a new method for big data analysis. This method uses only a few random sample data blocks of a big data set to obtain approximate results for ...
Salman Salloum +3 more
doaj +1 more source
Stage‐Dependent β‐Synuclein Links MRI and Cognitive Decline in Alzheimer's Disease
ABSTRACT Objective Synaptic degeneration drives cognitive decline in Alzheimer's disease (AD), but synaptic biomarkers are scarce. Brain‐enriched β‐synuclein emerged as a synaptic damage marker. We investigated its diagnostic, prognostic, and structural correlates across the AD continuum.
Ulaş Ay +15 more
wiley +1 more source
Raspberry Pi Cluster for Parallel and Distributed Computing [PDF]
Parallel and distributed computing have become an essential part of the ‘Big Data’ processing and analysis, especially for geophysical applications.
Ha, Ngoc
core +1 more source

