Results 111 to 120 of about 559,258 (294)
In response to the low detection efficiency and accuracy of traditional manual methods for detecting road underground defects, this paper proposes an intelligent detection method based on ground penetrating radar (GPR).
An Jinke +4 more
doaj +1 more source
Exploratory Analysis of ELP1 Expression in Whole Blood From Patients With Familial Dysautonomia
ABSTRACT Background Familial dysautonomia (FD) is a hereditary neurodevelopmental disorder caused by aberrant splicing of the ELP1 gene, leading to a tissue‐specific reduction in ELP1 protein expression. Preclinical models indicate that increasing ELP1 levels can mitigate disease manifestations.
Alejandra González‐Duarte +13 more
wiley +1 more source
Reduced Muscular Carnosine in Proximal Myotonic Myopathy—A Pilot 1H‐MRS Study
ABSTRACT Objective Myotonic dystrophy type 2 (proximal myotonic myopathy, PROMM) is a progressive multisystem disorder with muscular symptoms (proximal weakness, pain, myotonia) and systemic manifestations such as diabetes mellitus, cataracts, and cardiac arrhythmias.
Alexander Gussew +11 more
wiley +1 more source
Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease
ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky +8 more
wiley +1 more source
ABSTRACT Neuromyelitis Optica Spectrum Disorder (NMOSD) is a chronic autoimmune neuroinflammatory disease, typically characterized by antibodies against aquaporin 4 (AQP4‐IgG) or myelin oligodendrocyte glycoprotein (MOG‐IgG). Simultaneous seropositivity for both antibodies in a single patient is exceedingly rare.
Yeting Luo, Shuhua Xie, Xianghong Liu
wiley +1 more source
In this paper, we develop a defect target detection algorithm based on image processing and feature matching to address background noise in the detection of defects in infrared images of Unmanned Aerial Vehicle (UAVs), as well as to improve real-time ...
Jining Zhao +5 more
doaj +1 more source
Surface Defect Detection Method of Wooden Spoon Based on Improved YOLOv5 Algorithm
The available surface defect detection methods for disposable wooden spoons still involve screening with the naked eye. This detection method is not only inefficient but also accompanied by problems such as false detection and missed detection. Therefore,
Siqing Tian +4 more
doaj
Developmental, Neuroanatomical and Cellular Expression of Genes Causing Dystonia
ABSTRACT Objective Dystonia is one of the most common movement disorders, with variants in multiple genes identified as causative. However, an understanding of which developmental stages, brain regions, and cell types are most relevant is crucial for developing relevant disease models and therapeutics.
Darren Cameron +5 more
wiley +1 more source
A Defect Detection Method Based on YOLOv7 for Automated Remanufacturing
Remanufacturing of mechanical parts has recently gained much attention due to the rapid development of green technologies and sustainability. Recent efforts to automate the inspection step in the remanufacturing process using artificial intelligence are ...
Guru Ratan Satsangee +2 more
doaj +1 more source
Editorial: software defect detection [PDF]
The most difficult aspect of producing software is getting it right. Defects plague all software projects and enormous expense and time go into ridding code of the worst of them. Consequently, the ASE Community has devoted much attention to the problem of software defect avoidance.
openaire +1 more source

