11 April 2024, Volume 52 Issue 2
Comparative Analysis of Ear Characteristics and Grain Nutrient Composition of 8 Waxy Maize Lines
CHEN Ping,YU Haibing
2024, 52(2):  5-12.  doi:10.16389/j.cnki.cn42-1737/n.2024.02.001
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To select fresh waxy maize lines with excellent ear appearance quality and rich nutritional components,a randomized block design was used to comparatively analyze the ear characteristics and grain nutritional components of 8 waxy maize lines. The results showed that there were significant differences in kernel weight, fresh 100-grain weight, cob weight,ear length,ear diameter,bald tip length,row number of ear,kernel number of row,axis diameter,vitamin C content,vitamin E content,and vitamin B6 content among the 8 waxy maize lines. The variation coefficient of bald tip length was the largest among ear characteristics,reaching 73. 2%. And the variation coefficient of vitamin E content was the largest among nutrient composition,reaching 99. 03%. The correlation analysis showed that the content of vitamin E was an extremly significant pastive correlation between vitamin E content and vitamin B6 Content;there was a significant positive correlation between soluble sugar content and the fresh 100-grain weight;the spike length and the number of rows per ear were positively correlated with the weight of the spike axis significantly;the ear diameter was positively correlated with the grain number per row and the grain weight per ear extremly significantly;there was a significant negative correlation between the bald tip length and the fresh 100-grain weight;the grain weight per ear was positively correlated with the grain number per row extremly significantly. Cluster analysis showed that the lines with high comprehensive nutritional quality included Jingcainuo 2,Chengnuo 8,Fengnuo 1,and Jingnuo 832,which provided theoretical support for selecting glutinous corn varieties with rich nutritional components in production.
Screening and Biocontrol Effects of Antagonistic Bacteria Against Wilt Disease for Chuzhou Chrysanthemum
WU Rui,CHEN Yuting,CAO Qirong,ZHU Lin,ZHOU Cheng
2024, 52(2):  13-19.  doi:10.16389/j.cnki.cn42-1737/n.2024.02.002
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To screen for antagonistic bacteria against the pathogen causing Chuzhou chrysanthemum wilt disease and provide resources to control the disease. Microorganisms were isolated from the continuous cropping soil of Chuzhou chrysanthemum, and antagonistic strains with the ability to produce siderophores were selected through CAS medium and plate confrontation experiments. The antagonistic effects were verified through infection experiments and pot experiments on Chuzhou chrysanthemum wilt disease. A total of 183 bacterial isolates were purified from the soil,among which 77 strains with the ability to produce siderophores were selected using CAS medium,and 5 antagonistic strains were identified through confrontation culture with Fusarium oxysporum on plates. Among them,strain TZ-8 showed the highest inhibition rate of 59. 68%,with the ability to fix nitrogen,solubilize phosphate and potassium,and secrete IAA. It was identified as Burkholderia vietnamiensis. The results of infection experiments showed that the strain could effectively resist pathogen infection in plant tissues,and the results of pot experiments demonstrated that the strain had a good biocontrol effect against Chuzhou chrysanthemum wilt disease.The strain TZ-8 can effectively control Chuzhou chrysanthemum wilt disease and can be included in the bacterial resource library for the biocontrol of the disease.
Clinical Effect Observation of ″Shuanggu Yitong″ Acupuncture Treating Obese Polycystic Ovary Syndrome
LI Yu′e ,PENG Jialong,QU Yong,TIAN Yingui,XIANG Jianying,ZHANG Jihong,DENG Xiaoyan
2024, 52(2):  20-27.  doi:10.16389/j.cnki.cn42-1737/n.2024.02.003
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Objective To investigate the effect of ″Shuanggu Yitong″ acupuncture on weight, glucose,and lipid metabolism and menstruation of obese patients with polycystic ovary syndrome (PCOS). Methods 65 obese PCOS patients were randomly divided into the observation group and the control group. The observation group was treated with ″shuanggu Yitong″ acupuncture + lifestyle management for 3 menstrual cycles,and the control group was given metformin orally + lifestyle management for 3 menstrual cycles. The changes in glucose and lipid metabolism(fasting glucose,insulin,HOMA-IR index,triglyceride), body mass index(BMI),waist-hip ratio(WHR),and serum hormone levels(LH,T, E2,FSH) were compared between the two groups before and after treatment. Results The ″ Shuanggu Yitong″ group can reduce patients′ blood sugar,fasting insulin levels, HOMA-IR index,triglyceride levels,BMI,WHR levels(P < 0. 05),and serum LH, T,and E2 levels significantly reduced(P < 0. 01). The efficacy in improving fasting blood sugar,insulin,triglycerides,BMI,WHR,LH,and E2 was better than that of the control group. Conclusion The ″ Shuanggu Yitong″ acupuncture method is more effective than metformin in treating obese PCOS and is worthy of promotion and application.
A Case of Advanced Lung Adenocarcinoma with ALK and BRAF Mutations Treated with Dabrafenib Plus Trametinib
WU Yue,ZHANG Sijia,ZHEN Hongyan,LONG Zhixiong
2024, 52(2):  28-33.  doi:10.16389/j.cnki.cn42-1737/n.2024.02.004
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Objective Coexisting ALK and BRAF mutations are extremely rare in nonsmall cell lung cancer(NSCLC),and effective treatment options are not yet supported by clinical cases and data,thus this report is expected to provide a clinical reference for treating this group of patients. Methods To report a case of advanced lung adenocarcinoma in an 86-year-old female with coexisting ALK fusion and BRAF mutation,who was treated with dabrafenib plus trametinib. Results In our case,the patient achieved partial response (PR) after the treatment, and no serious adverse reactions were observed during the treatment. Conclusion With the rapid development of gene detection technology and biotargeted drugs,the survival rate and life quality of patients with advanced NSCLC have been improved. This patient showed definite efficacy for dabrafenib plus trametinib, which provides a significant reference to the clinical diagnosis and treatment of NSCLC with ALK and BRAF mutations.
Analysis of Association Between Marital Status and Prognosis of Liver Cancer Patients Based on SEER Database
CHEN Ming,CHEN Heng,WANG Dong,XU Jinhua,LIU Yuchen,LIU Yunyi
2024, 52(2):  34-45.  doi:10.16389/j.cnki.cn42-1737/n.2024.02.005
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Objective To investigate the influence of marital status on the prognosis of patients with liver cancer. Methods Information from 9 759 patients was extracted from the SEER database,and univariate Log-rank and multivariate Cox risk scale models were used to evaluate the relationship between marital status and the prognosis of liver cancer. Results The death risk of divorced or separated patients(MHR = 1. 24,95%CI(1. 14,1. 34), P < 0. 001),single patients (MHR = 1. 22,95%CI(1. 13,1. 32),P < 0. 001), widowed patients(MHR = 1. 21,95%CI(1. 09,1. 33),P < 0. 001)was higher than that of married patients,and the survival rate of married patients was higher than that of divorced,separated,single,and widowed patients. There were significant differences in the effects of marital status among HCC patients with different ages,races,tumor stages,and degrees of tumor differentiation,and there were statistically significant differences in the effects of marital status among the middle-aged group(χ2 = 99. 6,P < 0. 001),White group(χ2 = 84. 6,P < 0. 001),tumor stage I group(χ2 = 87. 7,P < 0. 001),highly differentiated group(χ2 = 67. 1,P < 0. 001)and moderately differentiated group(χ2 = 65. 0,P < 0. 001). Conclusion Marital status can be an independent prognostic factor for patients with liver cancer to a certain extent,and the death risk coefficient of married patients with liver cancer is lower than that of patients with other marital statuses.
Screening Key Genes of Atopic Dermatitis and Prediction of Related Drugs Based on Bioinformatics Method
WANG Xiaochen,CHEN Lu,LIU Chang,CHEN Xiaoqing,LI Peng,QIU Wenhong
2024, 52(2):  46-55.  doi:10.16389/j.cnki.cn42-1737/n.2024.02.006
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Objective To screen the key genes in the lesion area of atopic dermatitis and predict potential therapeutic drugs. Methods The GSE193309 high- throughput sequencing data was obtained from the GEO database. The R language was used for differentially expressed gene screening,GO function enrichment analysis and KEGG pathway enrichment analysis,and the protein-protein interaction (PPI) networks were constructed via the String website. Module analysis was performed using the MCODE plugin of Cytoscape software to screen key genes in AD skin lesions. Based on the CIBERSORT algorithm,the differences in immune cells between the damaged and non-damaged skin of AD were analyzed. Finally,the Connectivity Map was used to predict the potential small molecule compounds that could alleviate the symptoms of AD lesions. Results A total of 1 847 differentially expressed genes and 11 key genes PI3, SPRR2B, LCE3C, LCE3E, SPRR1A,LCE3A,SPRR2A,SPRR2F,SPRR1B,LCE3D and LCE5A were screened out. A total of 962 functions were enriched by GO analysis,including the immune system process,leukocyte activation,defense response,and so on. A total of 64 signaling pathways were enriched by KEGG analysis,and the differentially expressed genes were most closely related to cytokine-cytokine receptor interaction. Resting dendritic cells,macrophagesM2,and resting mast cells accounted for the highest proportion in the epidermal immune microenvironment. Small molecule compounds such as epirubicin,benzoylquine,indinavir, KU-0063794,PI-103,ceforanide,amlodipine,and PI-828 were predicted as potential drugs to alleviate local skin lesions of AD. Conclusion PI3,SPRR2B,LCE3C,LCE3E, SPRR1A,LCE3A,SPRR2A,SPRR2F,SPRR1B,LCE3D,and LCE5A could be the key genes associated with the occurrence of atopic dermatitis,and the eight predicted small molecule compounds may provide a theoretical reference for subsequent drug development.
Image Segmentation Using U-Net3+ Based on Manhattan Distance Self-attention Mechanism
ZHANG Zhiwei,YE Xi,YANG Zhihong
2024, 52(2):  56-67.  doi:10.16389/j.cnki.cn42-1737/n.2024.02.007
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In response to the problem that the current mainstream image segmentation algorithms have poor discrimination ability of pixels with similar features but different categories on the segmentation boundary,which affects segmentation accuracy,this paper designed a U-Net3+ segmentation algorithm based on the Manhattan distance selfattention mechanism. Large-scale contextual information relationships were modeled by focusing on the degree of difference in information representation between different feature points,thereby the network′s ability was enhanced to distinguish pixels with similar features but different categories and learn global relationships. Then,different scale features are fused through the full-scale jump connection structure of U-Net3+ ,providing more scale contextual information for the network,making the segmentation network balance detailed information and global relationships,thereby improving the segmentation effect. Finally,this paper used the COVID-19 CT dataset to conduct experimental tests on the algorithm. The results showed that after the introduction of the Manhattan-distance-based self-attention mechanism,the Dice and IoU metrics of U-Net3+ were improved by 2. 79% and 3. 17% respectively,compared with the U-Net3+ using the multiple self-attention mechanism improved by 1. 06% and 1. 02%,Which proves the algorithm to be of certain effectiveness and superiority.
Chinese Ancient Painting Repair System Based on Improved Criminisi Algorithm
CHEN Ying,JIA Qian,QI Weimin,SUN Yiming,HUANG Xinyi
2024, 52(2):  68-77.  doi:10.16389/j.cnki.cn42-1737/n.2024.02.008
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The Criminisi algorithm is widely used in cultural relics repair,which finds matching blocks by global search,resulting in slow repair speed. This paper proposed the Chinese ancient painting repair system based on improved Criminisi algotithm. Firstly,the priority function was improved,and the problem that the priority was 0,which led to a poor repair effect,was solved by the weighted sum. Then,when calculating the similarity between sample blocks,the better matching blocks were judged by the geometric distance to avoid the error of texture matching caused by only considering the color difference. Finally, the redundant search was reduced and the repair rate was improved by the search method with a step size of 2. Additionally,a system of restoring ancient paintings was designed using MATLAB R2021a facilitating easy operation for cultural relic protection personnel.The experimental results showed that the improved Criminisi algorithm improved repair quality and operation speed.
Simulation Study on Vibration Noise of High-speed Electric Drive Gears Based on Recurdyn
ZHAO Jun,LI Jian,YANG Kai
2024, 52(2):  78-86.  doi:10.16389/j.cnki.cn42-1737/n.2024.02.009
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Due to large errors in simulation methods for the conventional gear vibration noise,a high-speed electric drive gear vibration noise simulation study based on Recurdyn was proposed. The simulation model was built based on Recurdyn software,envelope superposition on different types of noise signals was performed,methods such as the Mach coefficient were used to divide the distribution interval of noise sources,the distribution of vibration noise was clarified,and noise excitation vector data for simulation calculation was obtained. The experimental results showed that this method can effectively reduce simulation errors and accurately predict the sound pressure level of gear vibration noise.
Research Progress on Automatic Driving Compliance-related Virtual Test Scene Construction Methods
XU Jiazheng,CHEN Xing,WANG Jingsheng,YAN Song
2024, 52(2):  87-96.  doi:10.16389/j.cnki.cn42-1737/n.2024.02.010
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Scenario-based testing has driven the development and application of autonomous driving technology. How to construct compliance-related virtual test scenarios has become a key issue in the field of autonomous driving technology. This article first analyzed the detailed requirements for compliance from different entities,classified the test scenario construction methods based on scenario interactivity,reviewed a series of virtual test scenario construction methods,and summarized them in terms of research progress, application status,advantages,and disadvantages. In addition,to address the applicability of scenario construction methods for different entities′ differentiated testing needs,this article proposed evaluation indicators for three types of test scenario construction methods: coverage,edge cases,and realism. The advantages and limitations of various scenario methods were comprehensively evaluated using these indicators. Finally,based on the evaluation results,the applicability of various testing methods to differentiated testing needs was analyzed in detail. The shortcomings and future research trends were summarized and analyzed,aiming to provide a valuable reference for research on autonomous driving test scenario construction.