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3篇 您的检索式:作者名="Guiying Yao"
    题名 作者 年代 出处 被引量
1The control of size and morphology of nanosized silica in Triton X-100 based reverse micelle显示文摘Yao Lin Xu Guiying Dou Wenling 2008Colloids Surf2008,316,13:1
2Interrelation among alexithymia and negative psychology of nursing personnel and their coping style显示文摘Objective:The purpose of the current study was to discuss the interrelation among alexithy-mia and negative psychology of nursing personnel and their coping style,so as to provide a theoret-ical basis for better mental health education and psychological intervention for nursing personnel.Methods:A questionnaire survey was administered to 503 nursing personnel sampled from a hospital in Henan Province between May and June 2010 by means of survey instruments of the Toronto Alexithymia Scale-20 Items(TAS-20),the Trait Coping Style Questionnaire(TCSQ),and the General Health Questionnaire(GHQ-20).Results:(1)Alexithymia and a negative coping style had a positive correlation with negative psychology(P<0.01),while a positive coping style had a negative correlation with negative psy-chology(P<0.01).(2)The model fitting indices of coping style as intermediate variables between alexithymia and negative psychology were χ^(2)/df=1.459,RMSEA=0.030,CFI=0.995,IFI=0.995,RFI=0.966,TCI=0.989,and NEI=0.985,indicating a good model fitting.Ninety-nine percent of the total variation of negative psychology could be explained by alexithymia and coping style,of which the indirect effect affecting negative psychology by coping style accounted for 94.59%of the total.Conclusion:Alexithymia and coping style were very important factors for improvement of current mental status of the nursing personnel,especially for a change in negative coping style and selection of good coping style.Shuwen Li Guiying Yao Yanling Gui Bin Zhang 2014Family Medicine and Community Health2014,2,2:0
3Chinese guidelines for the application of colon cancer staging recognition systems based on artificial intelligence platforms (2021)显示文摘The incidence and mortality of colon cancer in China are increasing each year.At present,treatment selection for colon cancer patients mainly depends on imaging results,which require a large number of radiologists to interpret.In China,there is a shortage and uneven distribution of experienced radiologists,which leads to delays and bias in the evaluation of imaging data.Based on these considerations,the Colorectal Surgery Group of the Surgery Branch of the Chinese Medical Association in collaboration with experts at Beihang University has independently developed an artificial intelligence(AI)-based recognition system for the preoperative determination of colon cancer stage to partially replace the work of and relieve the pressure on radiologists.These guidelines aim to standardize the use of AI-based recognition systems in the preoperative staging of colon cancer and guide their clinical application.Yun Lu Shuai Li Yuan Gao Yong Dai Bo Feng Fanghai Han Jiagang Han Jingjing He Xinxiang Li Guole Lin Qian Liu Guiying Wang Quan Wang Zhenning Wang Zheng Wang Aiwen Wu Bin Wu Yingchi Yang Hongwei Yao Wei Zhang Jianping Zhou Aimin Hao Zhongtao Zhang 2021Intelligent Medicine2021,1,1:0
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