Yunlong Song

Measuring financial risk protection in long-term care insurance among older adults: quasi-experimental evidence from China

Yazhuo Liu, Yunlong Song, Yongjian Xu, Wu Jia et autres

BACKGROUND: Protecting households from financial risk is widely accepted as a desirable objective of health system, and the same goes for Long-Term Care Insurance (LTCI). However, LTCI’s potential effect on household financial risk protection, still remains unclear. This study aims to systematically …

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Ambient Air Pollution Exposure and Acute Osteoarthritis Exacerbations: A National Case-Crossover Analysis of 8 Million Outpatient Visits in China

Chao Li, Hong Zhang, Wenhui Chang, Yunlong Song et autres

While the inflammatory properties of ambient air pollution may exacerbate osteoarthritis (OA), evidence on the population-level impact of multi-pollutant mixtures remains limited. This study quantifies the acute effects of short-term exposure to a complex mixture of six-criteria air pollutants on OA outpatient …

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Advances in crack dataset development and deep learning-based detection models

Yunlong Song, Qi Zhang, Yumeng Su, Shiying Zhang et autres

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Real-Time Detection and Monitoring of Structural Cracks Using ConcreteCrack

Yu Song, Lei Xing, Yunlong Song, Jian Li

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Quantifying the Housing Price Premium of Walkable Urban Nature in Shanghai: Evidence from Explainable Boosting Models

S. Zhang, Yunlong Song

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Annual chest computed tomography in multimorbid COPD: is universal screening clinically feasible?

S F Yu, Lu Yue, Yunlong Song

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UCSDC: Pixel-level rectangular self-calibrating crack segmentation network

Yunlong Song, Yong Su, Shiying Zhang, Ruilin Wang et autres

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CrackdiffNet: A Novel Diffusion Model for Crack Segmentation and Scale-Based Analysis

Yunlong Song, Yumeng Su, Shiying Zhang, Ruilin Wang et autres

Deep learning has made remarkable progress in the field of crack segmentation, particularly in handling large-scale datasets and complex images, owing to the substantial computational power currently available. However, existing methods still face significant challenges when processing images with low contrast, fine …

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Association of ambient air pollution with hospital admissions for major osteoarthritis diseases: A national case-crossover study in China

Ge Li, Chao Li, Huimeng Liu, Yunlong Song et autres

Objectives To investigate the acute effects of short-term exposure to ambient air pollution on the risk of hospital admissions for osteoarthritis (OA) and its major subtypes. Methods Hospital admission data on OA and its major subtypes were sourced from two major urban …

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Research on Intelligent Identification Technology for Bridge Cracks

Yumeng Su, Yunlong Song, Zhao-min Zhan, Zhuo Bi et autres

The infrastructure construction of bridges is growing rapidly, and the quality of concrete structures is becoming increasingly stringent. However, the issue of cracks in concrete structures remains prominent. In on-site bridge crack detection, the traditional crack identification techniques fail to meet demands …

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A Comparison of Transfer Learning Metaphyseal Sign Diagnostic Models for Kashin-Beck Disease Based on X-rays of Children’s Hands

Ge Li, Ping Chen, Yunlong Song, Yuchen Zhang et autres

Background Kashin-Beck disease (KBD), prevalent in certain regions of the world, primarily affects children and is characterized by joint deformities. Timely screening and accurate diagnosis, heavily reliant on metaphyseal signs in X-rays, are crucial but challenging, especially in regions where specialist availability …

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Improving Image Compression Performance by Spatial-Channel Context Adaptive Model

Hao Wang, Huifen Wang, Junda Xue, Enmin Lu et autres

The significance of enhancing image compression efficiency for machine vision, analysis, and comprehension tasks has gained increasing recognition. In response to this need, we propose and implement a novel method called ELIC (Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive …

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