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AIM: To explore the clinical application value of analysis system for ultrasound biomicroscopy(UBM)images of anterior chamber angle(ACA)based on deep learning algorithm.METHODS: A total of 4 196 UBM images were obtained from 675 patients(1 130 eyes)at the Eye Center of Renmin Hospital of Wuhan University from January 2021 to June 2022 were collected to build an image dataset. Using Unet++network to automatically segment ACA tissue, a support vector machine(SVM)algorithm was developed to automatically classify opening and closing of chamber angle, and an algorithm to automatically locate the sclera spur and measure ACA parameters was developed. Furthermore, a total of 631 UBM images of 127 subjects(221 eyes)at Huangshi Aier Eye Hospital and 594 UBM images of 188 subjects(257 eyes)at Zhongnan Hospital of Wuhan University were selected to evaluate the performance of the system under different environments.RESULTS: The accuracy of the analysis system constructed in this study for chamber angle opening and closing was 95.71%. The intra-class correlation coefficient(ICC)values of all ACA angle parameters were greater than 0.960. ICC values of all ACA thickness parameters were greater than 0.884. The accurate measurement of ACA parameters depended in part on the accurate location of the scleral spur.CONCLUSION: The intelligent analysis system constructed in this study can accurately and effectively evaluate ACA images automatically and is a potential screening tool for the rapid identification of ACA structures.

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Contact lens(CL)is currently one of the most common methods of vision correction, with more than 140 million users worldwide and the demand is rising yearly as constantly development of materials and features. Wearing CL can lead to a variety of complications such as dry eye, corneal abrasions, giant papillary conjunctivitis, and infectious keratitis is one of the most severe complications. According to research, bacteria account for 80%～95% of the pathogens that cause CL-associated infective keratitis, it may have been related to the bacterial composition, virulence mechanism, biofilm formation and the combined effect of the lens itself and the process of use, which is prone to introducing pathogens, reducing antimicrobial capacity of the cornea and tears and causing ocular surface hypoxia and ocular surface inflammation. Overnight and prolonged lens wear, irregular lens purchase, use and care procedures can also be risk factors for bacterial infections. This article reviews the studies on the pathogenesis, risk factors, diagnosis, treatment and prevention of CL-related bacterial keratitis.

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Due to their high adsorption capacities, carbon-based nanomaterials such as carbon nanotubes, activated carbons, fullerene and graphene are widely used as the currently most promising functional materials. Since its discovery in 2004, graphene has exhibited great potential in many technological fields, such as energy storage materials, supercapacitors, resonators, quantum dots, solar cells, electronics, and sensors. The large theoretical specific surface area of graphene nanosheets (2630 m(2)·g(-1)) makes them excellent candidates for adsorption technologies. Further, graphene nanosheets could be used as substrates for decorating the surfaces of nanoparticles, and the corresponding nanocomposites could be applied as novel adsorbents for the removal of low concentrated contaminants from aqueous solutions. Therefore, graphene nanosheets will challenge the current existing adsorbents, including other types of carbon-based nanomaterials.

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Organic contaminants have become one of the most serious environmental problems, and the removal of organic contaminants (e.g., dyes, pesticides, and pharmaceuticals/drugs) and common industrial organic wastes (e.g., phenols and aromatic amines) from aqueous solutions is of special concern because they are recalcitrant and persistent in the environment. In recent years, carbon nanotubes (CNTs) have been gradually applied to the removal of organic contaminants from wastewater through adsorption processes. This paper reviews recent progress (145 studies published from 2010 to 2013) in the application of CNTs and their composites for the removal of toxic organic pollutants from contaminated water. The paper discusses removal efficiencies and adsorption mechanisms as well as thermodynamics and reaction kinetics. CNTs are predicted to have considerable prospects for wider application to wastewater treatment in the future.

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As an incomplete renal replacement for the patients with either acute or chronic renal failure, membrane-based hemodialysis therapy is progressing rapidly. However, the mortality and morbidity remain unacceptably high. Much effort has been put into improving the biocompatibility of the hemodialysis membranes. To effectively remove small solutes and 'middle molecules' in compact cartridges, the hydraulic and permselective properties of the hemodialysis membranes have also been deeply investigated. An overview of recent progress of different kinds of hemodialysis membranes and their preparation technology, as well as their modification techniques, is presented. The advantages and deficiencies of many synthetic membranes, including cellulose, cellulose acetate (CA), chitosan (CS), polysulfone (PS), poly(ether sulfone) (PES), polyacrylonitrile (PAN), ethylene-vinyl alcohol copolymer (EVOH), poly (methyl methacrylate) (PMMA) and poly(vinyl alcohol) (PVA), etc. are elaborated upon.

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