Results 111 to 120 of about 4,863,804 (250)
ObjectiveCapacitive coupled contactless conductivity detection (C4D) plays an important role in agricultural soil nutrient ion detection. Effective identification of characteristic ion peaks in C4D signals is conducive to subsequent qualitative and ...
TANG Chaoli +7 more
doaj +1 more source
ABSTRACT Objective Isolated rapid eye movement sleep behavior disorder (iRBD) is a prodromal state for Lewy body disorders and exhibits biological heterogeneity that may influence clinical expression and progression. We examined clinical features in individuals with iRBD and biomarker‐defined synucleinopathy.
Daniel Weintraub +24 more
wiley +1 more source
ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +16 more
wiley +1 more source
IntroductionHong Kong, a vital part of the Indo-Burma Biodiversity Hotspot, harbours a significant portion of China’s orchid diversity within a limited area.
Jihong Li +2 more
doaj +1 more source
ABSTRACT Objective Neurochemical levels measured by brain MR spectroscopy (MRS) have been proposed as endpoints for clinical trials in early‐stage spinocerebellar ataxia (SCA) trials. We tested their trial‐readiness by quantifying neurochemicals in three affected brain regions in early‐stage cohorts of SCA2 and SCA3, examining their reproducibility in ...
James M. Joers +19 more
wiley +1 more source
ON METRIC DIMENSION OF EDGE-CORONA GRAPHS
Far East Journal of Mathematical Sciences (FJMS), Volume 102, Number 5, 2017, Pages 965-978This paper discusses some characterization and exact values for metric dimension of edge-corona from a connected graph not tree G with an arbitrary nontrivial
Rinurwati, Rinurwati +2 more
core
Low-latency six-channel Bi-LSTM for near-real-time epileptic seizure detection
This paper proposes a deep learning framework for near-real-time epileptic seizure detection using EEG data, designed to address two critical limitations of existing approaches: high detection latency and full-channel EEG dependence.
Kiyan Afsari +4 more
doaj +1 more source
T1 Over Squared Proton Density Ratio to Characterize Multiple Sclerosis Lesions
ABSTRACT Objective Differentiating remyelinated from demyelinated lesions in MS remains challenging without histological confirmation. This study introduces the T1‐to‐PD2 ratio (TPR) imaging approach and evaluates its ability to characterize MS lesions alongside other quantitative MRI (qMRI) metrics. Methods Thirty individuals with MS (mean age: 47.5 ±
Sarah J. Wright +10 more
wiley +1 more source
A novel performance metric for grey-scale edge detection
This paper will discuss grey-scale edge detection evaluation techniques. It will introduce three of the most common edge comparison methods and assess their suitability for grey-scale edge detection evaluation.
Svoboda, D., Bowring, N., Williams, Ian
core +2 more sources
Image quality assessment based on edge preservation
Objective image/video quality metrics which accurately represent the subjective quality of processed images are of paramount importance for the design and assessment of an image compression and transmission system. In some scenarios, it is also important
Martini, Maria G. +5 more
core +1 more source

