Results 121 to 130 of about 7,291,916 (317)
The Relationship Between Inflammation and Central Nervous System in Multiple Sclerosis
ABSTRACT Aim Multiple sclerosis is an autoimmune demyelination disease that is seen especially in the young population and has a progressive course, causing motor, sensory, and cognitive deficits. In the literature, the pathogenesis of MS disease and the interconnection between the immune and central nervous system in the disease have not been fully ...
Gamze Ansen +5 more
wiley +1 more source
Frailty Exacerbates Disability in Progressive Multiple Sclerosis
ABSTRACT Background To evaluate frailty in severe progressive multiple sclerosis (PMS) and to investigate the underlying mechanisms. Methods This prospective, cross‐sectional, multicenter study enrolled a late severe PMS group requiring skilled nursing (n = 53) and an age, sex, and disease duration‐matched control PMS group (n = 53).
Taylor R. Wicks +10 more
wiley +1 more source
Knowledge Graph Essentials and Key Technologies
In recent decades, the amount of information that humankind has accumulated has increased tremendously. People cannot analyze it effectively using simple algorithms, and data structures due to these approaches do not understand the se¬mantics of the data.
Vladislav Gurin +5 more
doaj +1 more source
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding [PDF]
Bilal Abu-Salih +4 more
openalex +1 more source
Age‐Related Characteristics of SYT1‐Associated Neurodevelopmental Disorder
ABSTRACT Objectives We describe the clinical manifestations and developmental abilities of individuals with SYT1‐associated neurodevelopmental disorder (Baker‐Gordon syndrome) from infancy to adulthood. We further describe the neuroradiological and electrophysiological characteristics of the condition at different ages, and explore the associations ...
Sam G. Norwitz +3 more
wiley +1 more source
Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks
We propose a distance supervised relation extraction approach for long-tailed, imbalanced data which is prevalent in real-world settings. Here, the challenge is to learn accurate "few-shot" models for classes existing at the tail of the class ...
Chen, Huajun +6 more
core
Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction Perspective [PDF]
Hung Tran, Atsuhiro Takasu
openalex +1 more source
Functional Connectivity Linked to Cognitive Recovery After Minor Stroke
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri +7 more
wiley +1 more source
Learner preferences prediction with mixture embedding of knowledge and behavior graph
To solve the problems of inaccurate prediction of learner preference and insufficient utilization of structural information in the knowledge recommendation model, for the knowledge structure and learner behavior structure in the learner’s preference ...
Xiaoguang LI +4 more
doaj
Objective We assessed whether shared decision‐making (SDM) and patient acceptability, feasibility, and overall satisfaction with a computerized patient decision aid (PtDA) for patients with systemic lupus erythematosus (SLE) differs by PtDA setting, modality, and the viewing experience. Methods Patients with SLE were invited to view a self‐administered
Jasvinder A. Singh +20 more
wiley +1 more source

