Results 81 to 90 of about 415,661 (284)
Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini +28 more
wiley +1 more source
Chemical composition and growth characteristics of Amorphophallus bulbifer
BMC Plant BiologyKonjac is an important horticultural vegetable and characteristic cash crop. Amorphophallus bulbifer has many advantages such as high yield, good quality and strong resistance.
Jinwei Li +7 more
doaj +1 more source
Applied SciencesMining-induced seismicity presents significant challenges to the safety and operational continuity of underground mines, particularly in deep and highly stressed environments.
Felipe Muñoz +3 more
doaj +1 more source
How many separable sources? Model selection in independent components analysis.
PLoS ONE, 2015 Unlike mixtures consisting solely of non-Gaussian sources, mixtures including two or more Gaussian components cannot be separated using standard independent components analysis methods that are based on higher order statistics and independent ...
Roger P Woods +2 more
doaj +1 more source
Using principal component analysis to identify the component affecting skull weight of Japanese Quail [PDF]
Basrah Journal of Veterinary ResearchPrincipal Component Analysis (PCA) is a powerful statistical tool used to reduce the complexity of large datasets while preserving significant variations.
israa Abd Alsada
doaj +1 more source
Image encoding by independent principal components [PDF]
, 2010 The encoding of images by semantic entities is still an unresolved task. This paper proposes the encoding of images by only a few important components or image primitives. Classically, this can be done by the Principal Component Analysis (PCA). Recently,
Arlt, Björn, Brause, Rüdiger W.
core
Annals of Clinical and Translational Neurology, EarlyView.Epigenetic reprogramming in hematopoietic stem and progenitor cells (HSPCs) and downstream myeloid cells, mediated by H3.3 downregulation and endogenous retroelement (ERE) overexpression, contributes to the progression of multiple sclerosis (MS). ABSTRACT Background Skewed myelopoiesis in the bone marrow has been identified as a key driver of multiple ...
Li‐Mei Xiao +6 more
wiley +1 more source
Designing a Hybrid Approach to Predict the Performance of Decision Making Units Based on Fuzzy Stochastic DEA and PCA [PDF]
چشمانداز مدیریت صنعتی, 2014 Data Envelopment Analysis is a management method which applied to performance analysis for decision making units. This paper presents a new hybrid approach based on fuzzy stochastic DEA (FSDEA) and principal component analysis (PCA) to predict efficiency
Ali Yaghoubi +2 more
doaj
Constructing Indonesian Composite Infrastrcuture Index using Principal Component Analysis.
Journal of Indonesian Applied Economics, 2022 This article aims to develop Indonesia's economic infrastructure indices, including transportation, telecommunications, education, and financial. The index employs indicators from 2018 at the regency level using Principal Component Analysis (PCA) to ...
FIRMAN HERDIANSAH, Farah Pangestuty
doaj
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective High‐resolution MRI enables detailed assessment of intracranial vessel wall pathology in moyamoya vasculopathy. We aimed to classify adult moyamoya vasculopathy etiologies using high‐resolution MRI and to examine subtype‐specific associations between high‐resolution MRI features and ischemic infarction.
Guangsong Han +8 more
wiley +1 more source