Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering最新文献

{"title":"Influence of different surface curing materials on pavement concrete properties","authors":"Tianlun Li, Yonggen Wu, Haoxiang Wu","doi":"10.3724/sp.j.1249.2022.06642","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2022.06642","url":null,"abstract":"摘 要:为研究硅酸乙酯、硅渗剂和纳米SiO2表面固化处理对机场道面混凝土性能的影响,分别对经 过3种表面固化材料处理后的混凝土的毛细吸水性、耐火蚀性、抗水渗透性、抗冻性和抗硫酸盐侵蚀性进 行测试,分析表面固化材料在机场道面的适用性 . 结果表明,硅渗剂的综合表现优异,处理后混凝土的渗 水高度降低率达到44. 2%,而且施工工艺成熟,最适合作为机场道面混凝土的表面固化材料;硅酸乙酯的 性能改善效果显著,处理后混凝土的 7 d吸水量降低 90%,经过 60 min火蚀后仍能达到 68. 1%,抗冻等级 由F125提高至F175,但混合溶液具有一定的易爆性,在机场道面混凝土上的应用还需要深入探究;纳米 SiO2的性能改善效果在3种表面固化材料中不够明显,不推荐应用于机场道面混凝土 . 研究结果可为机场 工程中表面固化材料的选择提供借鉴 . 关键词:建筑材料;混凝土;表面固化;硅酸乙酯;硅渗剂;纳米SiO2;机场道面 中图分类号:TU528. 58 文献标志码:A doi:10. 3724/SP. J. 1249. 2022. 06642","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43065814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis on the pressure dynamic characteristics of slanted well in dual-porosity and dual-permeability reservoir","authors":"R. Nie, Ran Jia, Mingjin Cai, H. Li, Cong Lu, Lan Yang","doi":"10.3724/sp.j.1249.2022.06660","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2022.06660","url":null,"abstract":"","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45454018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of coherent structure on turbulence characteristics of 0814 strong typhoon Hagupit","authors":"Lixiao Li, Yuqing Huang, Shangxing Chen, Xigui Huang, Yiqing Xiao, Xianchuan Chen","doi":"10.3724/sp.j.1249.2022.06629","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2022.06629","url":null,"abstract":"","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45884887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fixed and preassigned-time synchronization of drive-response networks with discontinuous activation functions","authors":"Xingrui Li, Yuzhu Xiao, Xueli Song, Nannan Zhao, Dongxin Shi, Meihua Shan","doi":"10.3724/sp.j.1249.2022.06709","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2022.06709","url":null,"abstract":"","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48434482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Activity prediction of anti-cancer drug candidate ER<bold>α</bold> inhibitor","authors":"Yulan Xia, Jiming Xie, Yajing Wang, Mengyuan Lu, Jinrui Wang, Yaqin Qin","doi":"10.3724/sp.j.1249.2022.05529","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2022.05529","url":null,"abstract":"","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45160685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep-learning-based proxy model for forecasting gas flooding performance of fractured well pattern in tight oil reservoirs","authors":"X. Zhu, Bin Yuan, Yuanhui Tong, Ming Zhao, He Zheng, Xiulei Liu","doi":"10.3724/sp.j.1249.2022.05559","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2022.05559","url":null,"abstract":"","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48140585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preparation of high purity germanium single crystal and analysis of dislocation density","authors":"Xin Hao, Lin Gan, Shipeng Hu, Q. Luo, Zhengxin Wu, Jian Zhong, Haige Zhao, Huibin Sun","doi":"10.3724/sp.j.1249.2022.05504","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2022.05504","url":null,"abstract":"Abstract: High purity germanium detector plays an important role in the field of radiation detection. High purity germanium with 13N purity and dislocation density between 100 ~ 10 000 cm-2 was successfully prepared through zone melting purification and single crystal growth. In the zone melting experiment, the self-made horizontal zone furnace is used to achieve the purification requirements through 20 ~ 50 times of zone melting in the environment of high-purity hydrogen. The single crystal is grown by Czochralski method along the [100] direction in high-purity hydrogen environment with effective length > 50 mm and effective diameter > 30 mm. The dislocation density measurement adopts the etching method. The acid etching solution is used to etch the crystal (100) surface and the number of the etch pits is counted. The results show that the dislocation densities at 25, 50 and 72 mm from the head of the single crystal are 2 537, 3 425 and 4 075 cm-2 respectively. These results indicate that the dislocation density before 72 mm meets the requirements for the preparation of high-purity germanium detectors. The research can provide reference for the preparation of high purity germanium single crystal.","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44587587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bioactive secondary metabolites from two sponge-derived actinomycetes","authors":"Zhikai Guo, Rong Wang, Weicheng Wu, Ming Li, Wanggui He, Shi-Yin Zhou","doi":"10.3724/sp.j.1249.2022.05550","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2022.05550","url":null,"abstract":"Actinomycetes residing in marine habitat are an excellent treasure house of structurally novel and Received: 2022-01-10; Accepted: 2022-06-06; Online (CNKI): 2022-08-09 Foundation: Hainan Provincial Basic and Applied Basic Research Fund for High-Level Talents in Natural Science (2019RC306, 2019RC352); Central Public-Interest Scientific Institution Basal Research Fund for CATAS-ITBB (1630052022028, 1630052022016, 1630052019011); Financial Fund of the Ministry of Agriculture and Rural Affairs of China (NFZX2021) Corresponding author: Associate professor GUO Zhikai. E-mail: guozhikai@itbb.org.cn Associate professor LI Ming. E-mail: liming0898@163.com Citation: GUO Zhikai, WANG Rong, WU Weicheng, et al. Bioactive secondary metabolites from two sponge-derived actinomycetes [J]. Journal of Shenzhen University Science and Engineering, 2022, 39(5): 550-558. (in Chinese) 第 5期 郭志凯,等:两株海绵放线菌产生的抗菌活性产物研究 http://journal.szu.edu.cn bioactive natural products with potent medicinal values. To exploit chemically diverse and bioactive natural products from actinomycetes living in underexplored ecological niche, we isolate a large number of marine actinomycetes from marine sponges, corals, algae, mollusks, sea grasses, and sediments collected from the South China Sea. In order to assess the values of these special marine actinomycetes in the green development of tropical agriculture, we screen the activity of marine actinomycetes against phytopathogenic fungi and bacteria. As a result, we identify two strains of sponge-derived actinobacteria Streptomyces sp. HMH1 and HML1 possessing antagonism effect against tested phytopathogenic microbes. The secondary metabolites produced by these two actinomycete strains and their antiphytopathogenic fungi activity are investigated. The secondary metabolites from the fermentation extract of Streptomyces sp. HMH1 and HML1 are isolated and purified using various chromatography methods including silica gel column, reverse gel column and Sephadex LH-20 column chromatography. The structures of the isolated compounds are characterized by NMR, HR-ESI-MS spectroscopic data analyses and comparison with previously reported data. Three major compounds belonging to the family of actinomycin are purified from the solid fermentation extract of the sponge-derived actinobacterium Streptomyces sp. HMH1. They actinomycin D, actinomycin X2, and actinomycin Xoβ. A compound identified as K-252d belonging to the family of indolocarbazole alkaloid is isolated from the solid fermentation extract of another sponge-derived actinobacterium Streptomyces sp. HML1. The antiphytopathogenic fungi and bacteria activities of these compounds are evaluated against ten species of plant pathogenic fungi including Fusarium oxysporum FOC4, Lasiodiplodia theobromae, Phomopsis caricae-papayae Fetrak&Cif., Corynespora cassiicola, Phytophthora capsica, Pythium aphanidermatum (Edson) Fitzp, Corynespora sp., Fusarium graminearum, Verticillium dahlia, Pestalotiopsis microspo","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41597964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pressure gradient prediction of gas-liquid two-phase pipe flow in horizontal gas wells","authors":"Chengcheng Luo, N. Wu, Hua Wang, Yonghui Liu, Teng Zhang, Benqiang Wang, Pengbo Wu, J. Liu","doi":"10.3724/sp.j.1249.2022.05567","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2022.05567","url":null,"abstract":"","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41884287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of machine learning algorithm in the prediction of fuel rod temperature performance","authors":"Liang Hong, Xin Jin, Xiaohan Liu, X. Wei","doi":"10.3724/sp.j.1249.2022.05515","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2022.05515","url":null,"abstract":"Abstract: In order to predict the fuel rod temperature performance effectively, we establish a series of machine learning models based on k-nearest neighbor, decision tree and AdaBoost algorithms. The input parameters and calculation results of fuel rod performance analysis software JASMINE and data feature engineering are used as the training and test data for the machine learning models. The models are trained by the training data set which includes the characteristic parameters such as pellet and cladding type, axial height, local power, cladding corrosion thickness and core inlet temperature. After training, the models use the test data to predict the cladding outside surface temperature and pellet center temperature. The prediction results show that the model based on AdaBoost algorithm has the best prediction performances, and the mean square errors of cladding outside surface temperature and pellet center temperature are 0. 605 °C and 8. 347 °C, respectively, and the average absolute errors are 0. 273 °C and 3. 814 °C , respectively. Comparing the predicted values with the target values, the maximum deviation of Adaboost algorithm for the cladding outside surface temperature is 3 °C, and the most of the prediction deviation of the pellet center temperature is less than 10 °C, indicating that the model based on AdaBoost algorithm has the high prediction accuracy for the temperature performance of fuel rods.","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46119211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}