Crossroads:Pathogenic role and therapeutic targets of neutrophil extracellular traps in rheumatoid arthritis

Rheumatoid arthritis(RA)is a prevalent autoimmune disease whose main features include chronic synovial inflammation,bone destruction,and joint degeneration.Neutrophils are often considered to be the first responders to inflammation and are a key presence in the inflammatory milieu of RA.Neutrophil extracellular traps(NETs),a meshwork of DNA-histone complexes and proteins released by activated neutrophils,are widely involved in the pathophysiology of autoimmune diseases,especially RA,in addition to playing a key role in the neutrophil innate immune response.NETs have been found to be an important source of citrullinated autoantigen antibodies and inflammatory factor release,which can activate RA synovial fibroblasts(FLS)and cause joint damage.This article reviews the role of NETs in the pathophysiology of RA,demonstrating the application of multiple molecules with various therapies,with a view to informing the discovery and development of novel biomarkers and therapeutic targets for RA.

AWSD:An Aircraft Wing Dataset Created by an Automatic Workflow for Data Mining in Geometric Processing

This paper introduces an aircraft wing simulation data set(AWSD)created by an automatic workflow based on creating models,meshing.simulating the wing flight flow field solution,and parameterizing solution results.AWSD is a flexible,independent wing collection of simulations with specific engineering requirements.The data set is applicable to handle computer geometry processing tasks.In contrast to the existing 3D model data set,there are some advantages the scale of this data set is not limited by the collection source,the data files have high quality,no defects,redundancy,and other problems,and the models and simulation are all designed for the specific actual engineering demand.Moreover,AWSD has the characteristics of rich information and a similar model structure,which contributes to the construction of the surrogate model.On the other hand,this data set is suitable for advancing research of data mining in computational geometry graphics.To solve the problem that the CFD flows field results are not intuitive,this paper used the resampling method of surface data to sample the result to the model surface,then segmented the re sampled 3D mesh surface,and compared with the diferences among K-means algorithm,Mini_Batch K means algorithm,and Spectral Clustering algorithm.AWSD provides 300 sets of models,meshes,CFD simulation results,and parametric results based on ARAP(As-Rigid-As Posible)and Harmonic mapping for advancing the construction of engineering surrogate models,3D mesh segmentation,surface resampling,and related geometric processing tasks.