Based on previous research on the knowledge network,the paper summarizes the relevant research on the concept evolution,structure,model,evaluation index and practical application of the knowledge network based on the literature carrier,and provides reference for knowledge management and scientific innovation management.

Objective To analyze the epidemic characteristics of the imported malaria cases in Guangxi Zhuang Autono?mous Region in 2014,so as to assess the transmission risk and explore the prevention and control strategy. Methods The data of the malaria epidemic situation in the network direct report system of Guangxi in 2014 and the annual report of malaria epidem?ic situation in 14 cities were collected. The epidemiological information of the imported malaria cases was analyzed. Results A total of 184 malaria patients were reported in Guangxi in 2014,with a descent rate of 85.29%when compared to that in 2013 (1 251 cases),and the incidence rate was 0.35/100 000. All the cases were imported from abroad,and four species of Plasmodi?um were found in their blood samples. The number of falciparum malaria cases was the most(49.46%),followed by the ovale malaria cases(32.07%). All the cases were distributed in 32 counties(districts)of 11 cities ,and 65.76%of them were distrib?uted in Shanglin County. Most of the cases were male(98.37%),and those aged in 20-49 years accounted for 87.50%. The im?ported cases came from 14 countries of Africa(86.41%)and 2 countries of Southeast Asia(13.59%),in which,48.37%of the cases were imported from Garner. The main occupation of the cases in abroad was gold mining work(86.96%). The cases were reported all the year around,with no obvious seasonality. The interval time of back home to attack of the patients with tertian ma?laria and ovale malaria was longer. Conclusion Africa and Southeast Asia is the main source of imported malaria cases in Guangxi,and the migrant workers returning home may have the risk of malaria recurrence,which should be paid enough atten?tion to.

Objective To evaluate the effect of malaria surveillance and control of Guangxi Zhuang Autonomous Region in 2013,and explore the suited surveillance and management of imported malaria cases,so as to provide the evidence for formulat?ing the scientific control measures of imported malaria. Methods The endemic data and control measures of malaria in Guangxi in 2013 were collected and analyzed statistically. Results A total of 1 251 malaria cases were found in Guangxi in 2013,with 88.25%(1 104 cases)of falciparum malaria,8.63%(108 cases)of vivax malaria,0.64%(8 cases)of quartan malaria,1.52%(19 cases)of ovale malaria,and 0.96%(12 cases)of mixed infection;93.21%(1 166 cases)were off?farm workers;96.56%(1 208 cases)were imported from Africa and mainly consisted of falciparum malaria cases;3.44%(43 cases)were imported from southeast Asia and mainly consisted of vivax malaria cases. The cases of imported malaria were increasing and the infection rate in 2013 was increased by 464%compared with that in 2012. Conclusion The imported malaria cases in Guangxi mainly come from Africa at present. Promoting the health education and professional skill of malaria control and treatment ,as well as the diagnosis and treatment of the patients in early time are important measures to control the imported malaria.

Objective To explore the effect of using smart products (including smart phones, computers and other electronic products),as well as having hobbies on their cognitive function in pension agency elderly people,and analyze if there is certain protective effect on cognitive function by using smart products and having hobbies.So as to reduce the risk of mild cognitive impairment in the future. Methods By convenience sampling, 160 residents living in the nursing home of suzhou city (mean age 60 or higher) were selected, and demographic data were collected by using a homemade questionnaire, their cognitive function was investigated by using the Montreal Cognitive Assessment Scale. Results Single factor analysis showed that the score of the elderly who often use smart products in every cognitive field and overall cognitive function were superior to those who could not use smart products,the difference was statistically significant(t=-4.47--2.15,all P<0.05).The scores of the elderly with hobbies were higher in the overall cognitive function and the other six areas except the orientation, than those who had no hobby,and the differences were statistically significant(t=-6.80--1.81,all P<0.05).After adjusting for age,gender,body mass index(BMI),cultural level,often using smart products in total cognitive function in the elderly(t=4.842,P<0.01)and executive function(t=4.008,P<0.01),attention(t=3.045,P=0.003), abstract(t=2.135,P=0.034),delayed recall(t=3.759,P<0.01),the directional(t=2.866,P=0.005)of the five areas showed significant correlation. The total cognitive function of the elderly with hobbies (t=3.496, P = 0.001) and the visual spatial execution function (t=3.316, P = 0.001), naming (t=3.241, P =0.001), abstract (t=2.643, P = 0.009), and delayed recall (t=2.073, P= 0.04) were all significantly correlated.Conclusions Often using smart products and having certain hobbies are protective factors of cognitive function,build corresponding intervention plans for the future,by cultivating the elderly hobby, guiding the elderly using intelligent products and other measures to achieve successful aging, slow the cognitive decline,thus reducing the risk of mild cognitive impairment.

Objective:To evaluate the detection performance of left ventricular ejection fraction (LVEF) in patients with chronic renal failure (CRF) by an artificial intelligence (AI) model based on yolox framework integrating left ventricular segmentation and critical point detection.Methods:From January 2019 to June 2023, a total of 4 284 echocardiographic images of 2 000 adults aged 18-80 years without segmental wall motion abnormalities, structural heart disease, cardiac surgery or cardiomyopathy were collected in Henan Provincial People′s Hospital to delineate the endocardial membrane, as a training set, an AI model based on yolox framework integrating left ventricular segmentation and critical point detection was established. The images were divided into the training set( n=1 675) and the test set( n=325) in a ratio of about 5∶1. All 228 echocardiographic images of 100 normal adult volunteers who were treated in Henan Provincial Chest Hospital from May 2020 to May 2021 were collected as external test set validation. All 792 echocardiographic images of 204 patients treated in Henan Provincial People′s Hospital from April 2019 to June 2023 were continuously enrolled to evaluate the measurement efficiency of AI model. Spearman correlation statistical method was used to analyze the consistency of AI model measurement with manual measurement and TomTec software measurement methods of 3 senior echocardiographic professionals. Subjects were divided into clear image group, unclear image group, normal LVEF group and reduced LVEF group, the differences of general data between the two groups were compared. The correlation coefficient(ICC) within the group was calculated to analyze the consistency, so as to evaluate the model performance. Results:LVEF measured by AI model was significantly correlated with both manual measurement and TomTec model measurement ( rs=0.834, 0.826; all P<0.01). ICC values of the clear image group and the unclear image group were 0.96 and 0.97, respectively. ICC values for all subjects, normal LVEF group and reduced LVEF group were 0.96, 0.90 and 0.96, respectively. Conclusions:The AI model based on yolox framework integrating left ventricular segmentation and critical point detection has good diagnostic performance in the automatic measurement of LVEF in patients with CRF.