Results 71 to 80 of about 580,024 (270)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
Epidemiology, Biostatistics and Public Health, 2022 This paper presents a robust two-stage procedure for identification of outlying observations in regression analysis. The exploratory stage identifies leverage points and vertical outliers through a robust distance estimator based on Minimum Covariance ...
Ettore Marubini, Annalisa Orenti
doaj
Traumatic Microhemorrhages Are Not Synonymous With Axonal Injury
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Diffuse axonal injury (DAI) is caused by acceleration‐deceleration forces during trauma that shear white matter tracts. Susceptibility‐weighted MRI (SWI) identifies microbleeds that are considered the radiologic hallmark of DAI and are used in clinical prognostication.
Karinn Sytsma +9 more
wiley +1 more source
OutliersAbstract The penultimate chapter is an examination of the odd cases. It takes a closer look at the outlier locales, those areas where population decline does not produce a more progressive electorate and those areas where population growth seems to advantage Republicans at the expense of Democrats.
+4 more sources
OUTLIER DETECTION TECHNIQUE USING CT-OCSVM AND FUZZY RULE-BASED SYSTEM IN WIRELESS SENSOR NETWORKS
Journal of Engineering and Sustainable Development, 2020 The development of Wireless Sensor Networks (WSNs) has been attained in the past few years due to its important using in wide range of application. The readings of data derived from WSN nodes are not always accurate and may contain abnormal data.
Hussein Hassan Shia +2 more
doaj
ℓ1 Major Component Detection and Analysis (ℓ1 MCDA) in Three and Higher Dimensional Spaces
Algorithms, 2014 Based on the recent development of two dimensional ℓ1 major component detection and analysis (ℓ1 MCDA), we develop a scalable ℓ1 MCDA in the n-dimensional space to identify the major directions of star-shaped heavy-tailed statistical distributions with ...
Zhibin Deng +3 more
doaj +1 more source
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source
Jurnal Teknik Industri, 2010 There are several problems in industrial process for example problems associated with product quality. In statistics, observation which is significantly different to the average is called outlier.
Makkulau Makkulau +3 more
doaj
Complementarity of Long‐Reads and Optical Mapping in Parkinson's Disease for Structural Variants
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Long‐read sequencing and optical genome mapping technologies have the ability to detect large and complex structural variants. This has led to the discovery of novel pathogenic variants in neurodegenerative movement disorders. Thus, we aimed to systematically compare the SV detection capabilities of OGM and ONT in Parkinson's disease.
André Fienemann +17 more
wiley +1 more source