This study collected data on paragonimiasis cases from 13 medical institutions in Chongqing between 2010 and 2024 to analyse their epidemiological characteristics, spatio-temporal distribution and high-risk areas. The data included demographic characteristics, epidemiological history, clinical manifestations and diagnostic criteria. We established a database using Microsoft Excel, performed time series analysis and Kruskal-Wallis tests with R software, and used ArcGIS for global and local spatial autocorrelation analyses to identify spatio-temporal clustering patterns. A total of 1,986 cases were reported from 13 institutions, including 33 (1.66%) confirmed, 468 (23.57%) clinically diagnosed, and 1,485 (74.77%) suspected cases. Cases were predominantly male (69.74%) and young, with 85.95% under 20 years old and most having low educational attainment. Cases showed a significant declining
3D-DefectBench is introduced, a benchmark and framework for systematic analysis of VLM-based 3D defect detection pipelines, and finds that automated judges should be evaluated as complete pipelines and calibrated across human reference regimes, rather than benchmarked only as standalone models.
Zhenyu Zhao, Nanshan Jia, Jihyeon Je et al.· arXiv.org· 0 citations
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