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人工智能在小儿眼科领域的应用研究进展 被引量:7
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作者 黎彪 丁雅珺 邵毅 《国际眼科杂志》 CAS 北大核心 2020年第8期1363-1366,共4页
近年来人工智能(artificial intelligence,AI)技术发展迅猛,在医学领域的实践与应用为医疗行业的发展带来新可能。在普通眼科领域,基于机器学习(machine learning,ML)的人工智能技术极大提高了诊断效率,但在小儿眼科方面取得的进展较少... 近年来人工智能(artificial intelligence,AI)技术发展迅猛,在医学领域的实践与应用为医疗行业的发展带来新可能。在普通眼科领域,基于机器学习(machine learning,ML)的人工智能技术极大提高了诊断效率,但在小儿眼科方面取得的进展较少。目前人工智能技术已运用于自动检测早产儿视网膜病变(retinopathy of prematurity,ROP)、儿童白内障,检测斜视和屈光不正,预测未来高度近视,通过眼动追踪诊断阅读障碍以及对眼科图像的研究等方面。本文对人工智能在小儿眼科的应用现状、进展与未来发展做一综述。 展开更多
关键词 人工智能 机器学习 自动检测 小儿眼科 眼科疾病
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One-step green method to prepare progressive burning gun propellant through gradient denitration strategy 被引量:11
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作者 Shi-ying Li Yu Li +2 位作者 ya-jun ding Hao Liang Zhong-liang Xiao 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2023年第4期135-143,共9页
Gradiently denitrated gun propellant(GDGP)prepared by a“gradient denitration”strategy is obviously superior in progressive burning performance to the traditional deterred gun propellant.Currently,the preparation of ... Gradiently denitrated gun propellant(GDGP)prepared by a“gradient denitration”strategy is obviously superior in progressive burning performance to the traditional deterred gun propellant.Currently,the preparation of GDGP employed a tedious two-step method involving organic solvents,which hinders the large-scale preparation of GDGP.In this paper,GDGP was successfully prepared via a novelty and environmentally friendly one-step method.The obtained samples were characterized by FT-IR,Raman,SEM and XPS.The results showed that the content of nitrate groups gradiently increased from the surface to the core in the surface layer of GDGP and the surface layer of GDGP exhibited a higher compaction than that of raw gun propellant,with a well-preserved nitrocellulose structure.The denitration process enabled the propellant surface with regressive energy density and good progressive burning performance,as confirmed by oxygen bomb and closed bomb test.At the same time,the effects of different solvents on the component loss of propellant were compared.The result showed that water caused the least component loss.Finally,the stability of GDGP was confirmed by methyl-violet test.This work not only provided environmentally friendly,simple and economic preparation of GDGP,but also confirmed the stability of GDGP prepared by this method. 展开更多
关键词 Gradiently denitrated gun propellant One-step green method DENITRATION Progressive burning Stability
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Cell structure of microcellular combustible object foamed by supercritical carbon dioxide 被引量:2
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作者 ya-jun ding San-jiu Ying +1 位作者 Zhong-liang Xiao Xu Wu 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2019年第3期419-425,共7页
In order to solve the issue that the combustible objects for cased telescoped ammunition (CTA) didn't burn completely during the combustion process, the microcellular combustible objects were foamed with numerous ... In order to solve the issue that the combustible objects for cased telescoped ammunition (CTA) didn't burn completely during the combustion process, the microcellular combustible objects were foamed with numerous cells in the micron order to improve the combustion performance by the supercritical carbon dioxide (SCeCO2) foaming technology. As the cell structure determined the combustion properties of microcellular combustible objects, the solubility of SCeCO2 dissolved into the combustible objects was obtained from the gravimetric method, and scanning electron microscope (SEM) was applied to characterize the cell structure under various process conditions of solubility, foaming temperature and foaming time. SEM images indicate that the cell diameter of microcellular combustible objects is in the level of 1 mm and the cell density is about 1011 cell,cm^-3. The microcellular combustible objects fabricated by the SCeCO2 foaming technology are smooth and uniform, and the high specific surface area of cell structure can lead to the significant combustion performance of microcellular combustible object for CTA in the future. 展开更多
关键词 CELL structure MICROCELLULAR COMBUSTIBLE OBJECT SOLUBILITY FOAMING temperature FOAMING time
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