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ObjectiveTo investigate the prevalence and influencing factors of carotid arteriosclerosis (CA) among high stroke risk people aged ≥ 40 years in rural areas of Chaoyang prefecture for providing evidence to develop targeted intervention measures on CA prevention and control. MethodsFace-to-face interview with a self-designed questionnaire, physical examination, and laboratory tests were conducted among 6 830 permanent residents aged ≥ 40 years recruited with stratified random cluster sampling in rural areas of Chaoyang prefecture, Liaoning province from September 2017 to May 2018. Subsequent carotid artery ultrasonography was carried out in 2 479 participants assessed as having high stroke-risk based on the National Technical Specification for Stroke Screening and Prevention; CA prevalence and its influencing factors in the high-risk population were analyzed. ResultsAmong the 2 479 high stroke-risk people, totally 1 211 CA cases were detected and the observed CA prevalence rate was 48.9%. The results of multivariate unconditional logistic regression analysis showed that aged ≥ 50 years, with an annual household income of 5 000 – 19 999 RMB yuan, current smoking, and lack of physical exercise are risk factor of CA for the high stroke-risk people; while, female gender and being overweight/obesity are protective factors against CA. ConclusionThe prevalence of CA is relatively high and mainly influenced by gender, age, total annual household income, smoking, physical exercise and body mass index among middle-aged and older residents with high stroke-risk in rural areas of Chaoyang prefecture.

Background Stroke has become the 3rd leading cause of death among urban residents in China, and the combined rate ofrisk factorssuch as hypertension, diabetes, and dyslipidemia is high among urban high-risk groups. Liaoning Province is a high incidence area of stroke in China, however, there are a few studies on the recurrence of stroke and its combined risk factors in the northern urban areas. Objective To explore the recurrence status of surviving stroke patients aged over 40 and its combined risk factors in urban areas of Liaoning Province, in orderto provide a theoretical basis for formulating effective secondary prevention strategies. Methods From September 2018 to December 2020, 6 349 permanent urban residents aged over 40 in Liaoyang, Dandong, Benxi, and Chaoyang Cities of Liaoning Province were selected according to the economic and regional distribution using stratified cluster random samplingand investigated. A total of 488 surviving stroke patients were included and their recurrence rate and associated risk factors were analyzed in this study. Results There were 244 males and 244 females among the 488 surviving stroke patients, the average age was (65.8±7.5) years old and the proportion of patients aged 60-69 was the largest (43.7%) ; There were 352 (72.1%) first-onset stroke patients, 136 (27.9%) recurrent stroke patients, and a recurrence rate of 27.9% among surviving stroke patients; The recurrence rates of male and female surviving stroke patients were 29.5% (72 cases) and 26.2% (64 cases) , respectively, and the difference was not statistically significant (χ2=0.652, P=0.419) . The recurrence rate of stroke among people aged 40-49, 50-59, 60-69, 70-79 and ≥80 years old was 4/11, 23.4% (22/94) , 25.4% (54/213) , 35.9% (47/131) and 23.1% (9/39) , respectively, there was no significant difference in recurrence rate between male and female surviving stroke patients in different age groups (P>0.05) .The current drinking rate of the relapsed patients was lower than that of the first-onset stroke patients, and the awareness rate of hypertension, dyslipidemia, the treatment rate of dyslipidemia, and the control rate of dyslipidemia were higher than those of the first-onset stroke patients, and the difference was statistically significant (P

Aimed at the problem that the traditional meta-path random walk in heterogeneous network representation cannot accurately describe the heterogeneous network structure and cannot capture the true distribution of network nodes well, a heterogeneous network representation method based on variational inference and meta-path decomposition is proposed, which is named HetVAE. First, combining with the idea of path similarity, a node selection strategy is designed to improve the random walk of the meta-path. Next, the variational theory is introduced to effectively sample the latent variables in the original distribution. After that, a personalized attention machanism is implemented, which weights the node vector representation of different sub-networks obtained by decomposition. Then, these node vectors are fused by the proposed model, so that the final node vector representation can have richer semantic information. Finally, several experiments on different network tasks are performed on the three real data sets of DBLP, AMiner, and Yelp. The effectiveness of the model is verified by these results. In node classification and node clustering tasks, compared with some state-of-the-art algorithms, the Micro-F1 and normalized mutual information (NMI) increase by 1.12% to 4.36% and 1.35% to 18% respectively. It is proved that HetVAE can effectively capture the heterogeneous network structure and learn the node vetcor representation that conforms more with the true distribution.

Objective: We studied the effect of the signal peptide sequence (SPS) on the expression of Pseudomonas pseudoalcaligenes insecticidal protein gene (ppip)., Methods: We obtained the core pseudomonas pseudoalcaligenes insecticidal protein gene (cppip, ppip without the UTR and SPS) by PCR and ligated it into pCAMBIA2301 to generate plant express vector pCPPIP, which was then transformed into tobacco to investigate the insecticidal activity of cppip expression products by locust bioassays. The Kanamycin resistance segregation ratio was determined by the germination rate of T0-generation seeds of the transgenic tobacco. Integration of ppip into genomic DNA was detected by PCR and confirmed by Southern blotting., Results: The bioassay with the 2nd and 3rd instar larvae of Locusta orthoptera showed that the crude proteins extracted from cppip transformed plants caused an average mortality of 83.37%. In contrast, the protein extracts from ppip transformed plants caused a much lower mortality (15.65%). The growth of locust was highly inhibited by the expression products of cppip when compared with the locusts fed with the protein extracts from wild type tobacco or tobacco transformed with intact ppip gene., Conclusion: The results indicated that the SPS might affect the insecticidal activity of ppip expressed in plants. The data of this study are helpful for cost-effective genetic engineering of plants with ppip gene.