For variable and flexible objects, there is no appropriate intelligent method to quantitatively characterize the three-dimensional (3D) form, especially for garment development. To address the problem, we proposed a novel approach to mapping 3D flexible objects with the coded graphic as a medium. Two-dimensional mapping patterns were used to characterize the 3D form and extract metric information. The proposed graphic code is small in size and it is easy to demonstrate position. With different fabrication techniques, various coding materials are available. With only a monocular image, the method shows high accuracy and low cost without the need for camera calibration in advance. Specifically, the processes of the method, including the algorithm of feature extraction, decoding, mapping position calculation, and pattern generation, are discussed. Two tests were implemented, and the results showed that the method was accurate and simplified the process of made-to-measure garment development. The proposed method has great application potential in the manufacturing of labor-intensive and experience-dependent flexible industries, such as apparel, home decoration, shoes, and other related areas. It also sets the stage for further artificial intelligence research of flexible objects.
Non-coding RNAs (ncRNAs) are a large class of transcripts lacking evident protein coding potential, and play versatile roles in a diverse range of physiological and pathological processes. Mounting evidences have indicated that ncRNAs are aberrantly expressed in a wealth of diseases such as cataract. Cataract is a cloudy lens caused by radiation, age, drugs and other factors. NcRNAs, including microRNAs, long non-coding RNAs, circular RNAs, have been identified to regulate the occurrence and development of cataract. Current studies indicate that ncRNAs exert the multifaceted functions in the lens of cataract patients and have been proved as potential diagnostic biomarkers or therapeutic targets for cataracts. This review summarizes the study of relationship between the lens and ncRNAs, which can provide a novel insight into the pathogenesis of cataract.
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