Results 291 to 300 of about 5,249,936 (356)
ABSTRACT Background Apolipoprotein ε4 (APOE ε4) is a potent genetic risk factor for Alzheimer's disease (AD). However, its role in cerebral small vessel disease (CSVD) remains unclear. Given the clinical and pathological similarities between CSVD and AD, this study aimed to investigate the associations of APOE ε4 gene dosage with cognitive function and
Tingru Jin +6 more
wiley +1 more source
Fault Detection, Isolation and Reconfiguration of Four-Bar Mechanism-Based Knee Exoskeleton. [PDF]
Jain P +4 more
europepmc +1 more source
ABSTRACT Background There is growing recognition of the potential of plasma proteomics for Alzheimer's Disease (AD) risk assessment and disease characterization. However, differences between proteomics platforms introduce uncertainties regarding cross‐platform applicability.
Manyue Hu +9 more
wiley +1 more source
A Novel Adaptive SFA-LII Based Fault Detection Method for Nonstationary Processes. [PDF]
Zhang C, Kong X, Liu M, Li C.
europepmc +1 more source
ABSTRACT Objectives To evaluate the utility of cerebrospinal fluid (CSF) biomarkers—matrix metalloproteinase‐9 (MMP‐9), tissue inhibitor of metalloproteinases‐1 (TIMP‐1), the MMP‐9/TIMP‐1 ratio, and osteopontin (OPN)—as indicators of blood–brain barrier (BBB) integrity and disease activity in people with relapsing–remitting multiple sclerosis (pwMS ...
Ivan Pavlovic +6 more
wiley +1 more source
A Novel Rail Damage Fault Detection Method for High-Speed Railway. [PDF]
Wang Y, Miao B, Zhang Y, Huang Z, Xu S.
europepmc +1 more source
Publisher Correction: Optimal active unsupervised fault detection in cascaded h-bridge inverters based on machine learning. [PDF]
Safari A, Tehranidoost MH, Sabahi M.
europepmc +1 more source
An efficient bearing fault detection strategy based on a hybrid machine learning technique. [PDF]
Alqunun K +8 more
europepmc +1 more source

