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25 March 2024, Volume 44 Issue 2

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Local scour effects on bearing capacities of monopile-wheel composite foundations under combined V-H loads in sandy deposit

ZOU Xinjun, TU Xinyao, CHEN Shun

2024, 44(2):  113-121.  DOI: 10.3969/j.issn.1000-1565.2024.02.001

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The foundations of offshore wind turbines(OWTs)are often subjected not only to complex combination loads, but also subjected to the local scouring. To investigate the effects of the local scouring on the bearing characteristics of the monopile-friction wheel composite foundations under combined V-H loads, a series of indoor model tests are carried out based on indoor water tank test devices. The load-displacement curves are obtained for the composite foundations with and without scouring. After dimensionless treatment and curve fitting process, the envelopes of the bearing capacities and the corresponding simplified formulas are also obtained. The results show that: the vertical and horizontal bearing capacity of the composite foundation can be reduced by about 12.1% and 26.9%, respectively. Further analysis shows that there exists an optimal pre-vertical load(V)which significantly enhances the ultimate lateral bearing capacity of the composite foundation. Additionally, the envelope shrinks inward under scouring conditions. The proposed empirical formulas can be used as a reference for engineering practice.

Dynamic response of variable section steel tube concrete monopile under earthquake action

FENG Zhongju, ZHANG Liang, ZHANG Cong, DENG Yousheng,LI Yujie

2024, 44(2):  122-130.  DOI: 10.3969/j.issn.1000-1565.2024.02.002

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In order to explore the dynamic response of variable section steel pipe concrete pile foundation under earthquake when the bridge is located in a weak soil layer, taking Xiangan Bridge as the engineering background, the numerical model of pile-geotechnical-steel pipe coupling under earthquake action was established by using FLAC3D finite element software, and the dynamic response differences of variable section steel pipe concrete monopile, a variable section ordinary concrete single pile body acceleration, pile body displacement and pile bending moment under different strength of earthquake were studied. The results show that the pile body acceleration, acceleration amplification coefficient, pile displacement maximum value and pile bending moment variation law of variable section steel tube concrete monopile under earthquake action are similar to those of ordinary concrete monopile with variable section, but the acceleration amplification coefficient of the pile body is reduced, and the lateral deformation resistance and bending bearing capacity of the pile foundation are improved. Therefore, the steel pipe can significantly improve the deformation resistance and bearing capacity of the pile foundation under the action of earthquake.

State evaluation method of existing segmental precast concrete bridges

YUAN Aimin, CHEN Qi, MIAO Xinge, WANG Xi, HOU Da

2024, 44(2):  131-138.  DOI: 10.3969/j.issn.1000-1565.2024.02.003

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Based on the research of domestic and foreign scholars on the state evaluation method of existing bridges, the state evaluation index system of existing segmental precast bridge structure is established. The condition assessment standard of existing segmental precast bridge based on analytic hierarchy process method is proposed. According to the principle of analytic hierarchy process method, the weight assignment method is introduced to consider the importance of each factor to evaluate the damage condition of the existing damaged segmental beam, so as to form a new set of state evaluation methods for the existing segmental precast bridge. Finally, an example of damage condition assessment of an existing segmental precast bridge is used to demonstrate the implementation of the proposed method for segmental beam.

JADE-SVM mid-infrared food adulteration discrimination model based on Bayesian optimization

ZHANG Mengsha, TIAN Lu, LI Yankun, SHEN Xiaofang

2024, 44(2):  139-145.  DOI: 10.3969/j.issn.1000-1565.2024.02.004

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Independent component analysis(ICA)combined with support vector machine(SVM)model was carried out to identify food adulteration. Mid-infrared spectra of edible vegetable oil(certified oil, adulterate oil and fried oil)as well as milk powder(pure milk powder and melamine-containing milk powder)were obtained by Fourier transform infrared spectroscopy(FTIR). Firstly, the effects of different spectral preprocessing methods on the established model were investigated, and the normalization combined with the moving smoothing method was selected for the preprocessing of the spectra. Then the joint approximate diagonalization of eigenmatrices(JADE)method was used to extract the spectral feature- DOI:10.3969/j.issn.1000-1565.2024.02.004基于贝叶斯优化的JADE-SVM中红外食品掺伪判别模型张孟莎¹,田璐¹,李艳坤¹,沈晓芳²(1.华北电力大学 环境科学与工程系,河北 保定 071003;2.江南大学 食品学院,江苏 无锡 214122)摘 要:开展了独立成分分析(independent component analysis,ICA)联合支持向量机(support vector machine,SVM)模型对食品掺伪的判别.通过傅里叶变换红外光谱仪获得食用植物油(正品油、掺伪油和炸货油)以及奶粉(纯奶粉和掺三聚氰胺奶粉)的中红外光谱,首先,探究不同的光谱预处理方法对所建立模型的影响,经考察选取归一化结合移动平滑对光谱进行预处理;然后采用特征矩阵联合近似对角化(joint approximate diagonalization of eigenmatrices,JADE)方法提取光谱特征信息,其结果优于主成分分析对特征信息的提取效果;通过Kennard-Stone算法划分训练集和测试集,利用贝叶斯优化(Bayesian optimization,BO)对SVM模型参数进行优化.经考察,所构建的JADE-BO-SVM模型对掺伪食品的识别准确度达到100%,该法可为食品掺伪的高效、准确鉴别提供新的途径和思路.关键词:光谱学;中红外光谱;模式识别;参数优化;掺伪判别中图分类号:TB96 文献标志码:A 文章编号:1000-1565(2024)02-0139-07JADE-SVM mid-infrared food adulteration discrimination model based on Bayesian optimizationZHANG Mengsha¹, TIAN Lu¹, LI Yankun¹, SHEN Xiaofang²(1. Department of Environmental Science and Engineering, North China Electric Power University, Baoding 071003, China;2. College of Food Science and Technology, Jiangnan University, Wuxi 214122, China)Abstract: Independent component analysis(ICA)combined with support vector machine(SVM)model was carried out to identify food adulteration. Mid-infrared spectra of edible vegetable oil(certified oil, adulterate oil and fried oil)as well as milk powder(pure milk powder and melamine-containing milk powder)were obtained by Fourier transform infrared spectroscopy(FTIR). Firstly, the effects of different spectral preprocessing methods on the established model were investigated, and the normalization combined with the moving smoothing method was selected for the preprocessing of the spectra. Then the joint approximate diagonalization of eigenmatrices(JADE)method was used to extract the spectral feature- 收稿日期:2023-09-22;修回日期:2023-10-27 基金项目:国创计划资助项目(S202310079127); 中央高校基本科研业务费资助项目(2017MS135) 第一作者:张孟莎(1998—),女,华北电力大学在读硕士研究生,主要从事基于盲源分离模型展开光谱的定性和定量分析.E-mail:zhangmengsha125@126.com 通信作者:李艳坤(1977—),女,华北电力大学副教授,主要从事化学计量学、环境分析化学方面的研究.E-mail:liyankun_ncepu@foxmail.com第2期张孟莎等:基于贝叶斯优化的JADE-SVM中红外食品掺伪判别模型information, and the results were better than those of the principal component analysis for feature information extraction. The training and testing sets were divided by the Kennard-Stone algorithm, and Bayesian optimization(BO)was used to optimize the SVM model parameters. Upon examination, the constructed JADE-BO-SVM model achieved 100% accuracy in identifying adulterated food. The proposed method can provide new way and new idea for the efficient and accurate identification of food adulteration.

Uncertainty evaluation of 29 pesticide residues in chrysanthemum by gas chromatography-tandem mass spectrometry

ZHAO Zhilei, SUN Ming, LIU Dongdong, LI Xun, MA Lihui

2024, 44(2):  146-155.  DOI: 10.3969/j.issn.1000-1565.2024.02.005

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In order to establish the determination method of 29 pesticide residues in chrysanthemum by gas chromatography-tandem mass spectrometry and its uncertainty evaluation, the content of 29 pesticide residues in chrysanthemum was determined by gas chromatography-tandem mass spectrometry with internal standard method, and the uncertainty generated in the detection process was analyzed and evaluated by establishing a mathematical model according to the evaluation criteria and expression of the measurement uncertainty. It includes three aspects: preparation of standard solution, fitting of standard curve and determination of test products. The results showed that the linearity of the 29 pesticides in chrysanthemum- DOI:10.3969/j.issn.1000-1565.2024.02.005气相色谱-串联质谱法测定菊花中29种农药残留量的不确定度评价赵志磊^1,2,3,孙鸣^1,2,刘冬冬^1,2,李迅^1,2,马力辉^1,2(1.河北大学 质量技术监督学院,河北省能源计量与安全检测技术重点实验室,河北 保定 071002;2.河北大学 计量仪器与系统国家地方联合工程研究中心,河北 保定 071002;3.河北大学 地理标志研究院,河北 保定 071002)摘 要:为建立菊花中29种农药残留的气相色谱-串联质谱测定方法及不确定度评价,采用气相色谱-串联质谱内标法测定菊花中29种农药残留的含量,并依据测量不确定度的相关评定标准与表示,通过建立数学模型,对检测过程中产生的不确定度进行分析与评价,包括标准溶液配制、标准曲线拟合、供试品测定3大方面.结果表明:菊花中29 种农药质量浓度在0.002~0.1 mg/L内线性关系良好,回归方程决定系数R²为0.997 36~0.999 82,定量限0.002 03~1.18 963 mg/L,检出限0.000 64~0.356 89 mg/L,添加回收实验中测定平均回收率为69.85%~93.26%,29种农药测量数值为0.04、0.06、0.1 mg/kg时,得到扩展不确定度为0.004 787~0.058 935 mg/kg.测量结果不确定度显示标准工作液的配制和标准曲线拟合是本实验测定方法不确定度的主要影响因素,该实验结果可以为测定菊花中农药残留量的方法及不确定度评价提供参考.关键词:气相色谱-串联质谱法;菊花;农药残留;不确定度中图分类号:TS207.3 文献标志码:A 文章编号:1000-1565(2024)02-0146-10Uncertainty evaluation of 29 pesticide residues in chrysanthemum by gas chromatography-tandem mass spectrometryZHAO Zhilei^1,2,3, SUN Ming^1,2, LIU Dongdong^1,2, LI Xun^1,2, MA Lihui^1,2(1.Hebei Key Laboratory of Energy Metering and Safety Testing Technology, College of Quality and Technical Supervision, Hebei University, Baoding 071002, China; 2. National & Local Joint Engineering Research Center of Metrology Instrument and System, Hebei University, Baoding 071002, China; 3.Institute of Geographical Indications,Hebei University, Baoding 071002, China )Abstract: In order to establish the determination method of 29 pesticide residues in chrysanthemum by gas chromatography-tandem mass spectrometry and its uncertainty evaluation, the content of 29 pesticide residues in chrysanthemum was determined by gas chromatography-tandem mass spectrometry with internal standard method, and the uncertainty generated in the detection process was analyzed and evaluated by establishing a mathematical model according to the evaluation criteria and expression of the measurement uncertainty. It includes three aspects: preparation of standard solution, fitting of standard curve and determination of test products. The results showed that the linearity of the 29 pesticides in chrysanthemum- 收稿日期:2022-12-25;修回日期:2023-06-06 基金项目:河北省重点研发计划项目(21344801D) 第一作者:赵志磊(1977—),男,河北大学教授,博士,主要从事食品药品质量检测技术研究,E-mail:15930721279@163.com 通信作者:马力辉(1967—),男,河北大学教授,博士,主要从事检测技术及产品创新研究.E-mail:malihui@aliyun.com第2期赵志磊等:气相色谱-串联质谱法测定菊花中29种农药残留量的不确定度评价were good in the range of 0.002~0.1 mg/L, and the coefficient of determination R² was between 0.997 36~0.999 82. The limits of quantitation were 0.002 03~1.189 63 mg/L, and the limits of detection were 0.000 64~0.356 89 mg/L. In addition, the average recoveries were between 69.85% and 93.26%, and the extended uncertainties were between 0.004 787~0.058 935 mg/kg for the measured values of 0.04, 0.06 and 0.1 mg/kg for the 29 pesticides. The uncertainty of measurement results showed that the preparation of standard working solutions and the fitting of standard curve were the main factors affecting the uncertainty of the measurement method in this experiment. The results could provide reference for determination of pesticide residues in chrysanthemum and uncertainty evaluation.

Injury pathology and immune cell response of lung tissue in radon exposed mice

WANG Meiyu, LIU Huimeng, WANG Zhixin, GUO Haoxin, WANG Yilong, ZHU Maoxiang

2024, 44(2):  156-163.  DOI: 10.3969/j.issn.1000-1565.2024.02.006

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BALB/c female mice were kept in a multifunctional radon chamber for continuous radon inhalation in order to explore the damage and immune cell reaction of lung tissue after radon exposure. Respiratory function was evaluated at 15 d, 30 d and 60 d after exposure. Peripheral blood was collected for detection of blood cells and blood biochemical indexes, and lung tissue was collected for pathological observation and fine-activation of immune cells such as T lymphocytes and their subsets was determined. The results showed that the radon exposed mice showed obvious toxic reactions such as weight loss, leukopenia, electrolyte metabolism disorder and lipid metabolism abnormality. Abnormal respiratory function and lung tissue lesions of different degrees were observed, and the early inflammatory reaction of lung tissue was obvious, mainly manifested in the imbalance and activation of T lymphocyte subsets. This indicates that there are obvious adverse reactions in mice exposed to radon. This study can provide experimental- DOI:10.3969/j.issn.1000-1565.2024.02.006氡暴露小鼠损伤病理及肺组织免疫细胞反应王美玉¹,刘慧蒙²,王志鑫²,郭浩鑫³,王易龙²,朱茂祥^1,2,3(1.河北大学 生命科学学院,河北 保定 071002;2.军事医学研究院 辐射医学研究所,北京市放射生物学重点实验室,北京 100850;3.南华大学 公共卫生学院,湖南 衡阳 421001)摘 要:为探索小鼠氡暴露后不同时间机体损伤及肺组织免疫细胞反应,将BALB/c雌性小鼠饲养于多功能氡室进行连续氡吸入.分别在暴露后15、30、60 d进行呼吸功能评价,采集外周血进行血细胞和血液生化指标检测,取肺组织进行病理形态观察,取T淋巴细胞及其亚群等免疫细胞活化测定.结果显示:氡暴露小鼠出现体质量下降、白细胞减少、电解质代谢紊乱、脂质代谢异常等明显毒性反应,观察到呼吸功能异常及肺组织不同程度病变,且早期肺组织炎性反应明显,主要表现在T淋巴细胞亚群失衡及其活化.这说明氡暴露小鼠存在明显机体不良反应.本研究可为氡吸入的危害评价与医学防护研究提供实验依据.关键词:氡暴露;肺损伤病理;呼吸功能;免疫细胞反应中图分类号:R818.8 文献标志码:A 文章编号:1000-1565(2024)02-0156-08Injury pathology and immune cell response of lung tissue in radon exposed miceWANG Meiyu¹, LIU Huimeng², WANG Zhixin², GUO Haoxin³, WANG Yilong², ZHU Maoxiang^1,2,3(1. College of Life Sciences, Hebei University, Baoding 071002, China; 2. Beijing Key Laboratory of Radiobiology, Institute of Radiation Medicine, Academy of Military Medicine Sciences, Beijing 100850, China; 3. School of Public Health, University of South China, Hengyang 421001, China)Abstract: BALB/c female mice were kept in a multifunctional radon chamber for continuous radon inhalation in order to explore the damage and immune cell reaction of lung tissue after radon exposure. Respiratory function was evaluated at 15 d, 30 d and 60 d after exposure. Peripheral blood was collected for detection of blood cells and blood biochemical indexes, and lung tissue was collected for pathological observation and fine-activation of immune cells such as T lymphocytes and their subsets was determined. The results showed that the radon exposed mice showed obvious toxic reactions such as weight loss, leukopenia, electrolyte metabolism disorder and lipid metabolism abnormality. Abnormal respiratory function and lung tissue lesions of different degrees were observed, and the early inflammatory reaction of lung tissue was obvious, mainly manifested in the imbalance and activation of T lymphocyte subsets. This indicates that there are obvious adverse reactions in mice exposed to radon. This study can provide experimental- 收稿日期:2022-11-14;修回日期:2022-12-30 基金项目:国家自然科学基金资助项目(81673095) 第一作者:王美玉(1998—),女,河北大学在读硕士研究生,主要从事放射性肺损伤研究.E-mail:18630596228@163.com 通信作者:朱茂祥(1966—),男,军事医学研究院教授,主要从事放射毒理与医学防护研究.E-mail:zhumx2016@126.com第2期王美玉等:氡暴露小鼠损伤病理及肺组织免疫细胞反应basis for the hazard assessment and medical protection research of radon inhalation.

PPM1A inhibits the migration, invasion and EMT process of PANC-1 pancreatic cancer cells

HUANG Jinping, ZHANG Ronghua, WANG Meimei, XIONG Yanan, ZHANG Guangling

2024, 44(2):  164-172.  DOI: 10.3969/j.issn.1000-1565.2024.02.007

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To investigate the effects of protein phosphatase magnesium-dependent 1A(PPM1A)on the migration, invasion and epithelial-mesenchymal transformation(EMT)in pancreatic cancer(PC), bioinformatics analysis and cellular immunofluorescence methods were used to study the expression of PPM1A. Wound healing, Transwell, qRT-PCR, Western blot and immunofluorescence tests were used to detect the effects of PPM1A on the migration and invasion of PANC-1 cells and the expression level of EMT- DOI:10.3969/j.issn.1000-1565.2024.02.007PPM1A抑制胰腺癌细胞PANC-1的迁移侵袭和EMT进程黄金平¹,张荣花¹,王梅梅¹,熊亚南¹,章广玲²(1. 华北理工大学 基础医学院,河北省慢性疾病重点实验室,河北 唐山 063210;2. 华北理工大学 临床医学院,河北省医工融合精准医疗重点实验室,河北 唐山 063210)摘 要:为研究镁依赖性蛋白磷酸酶 1A(protein phosphatase magnesium-dependent 1A,PPM1A)对胰腺癌细胞迁移、侵袭及上皮-间充质转化(epithelial-mesenchymal transformation,EMT)的影响,采用生物信息学技术以及细胞免疫荧光实验分析PPM1A在胰腺癌中的表达情况,划痕、Transwell、qRT-PCR、Western blot、细胞免疫荧光实验检测PPM1A对胰腺癌细胞PANC-1迁移、侵袭及EMT标志物表达水平的影响,生物信息学网站预测PPM1A的上游miRNA.结果表明,PPM1A在胰腺癌中低表达,抑制PANC-1细胞的迁移、侵袭和EMT进程,miR-105-5p为PPM1A的潜在上游miRNA.说明PPM1A和miR-105-5p可能是治疗胰腺癌新的靶点.关键词:PPM1A;上皮-间充质转化;胰腺癌;迁移;侵袭中图分类号:R735.9 文献标志码:A 文章编号:1000-1565(2024)02-0164-09PPM1A inhibits the migration, invasion and EMT process of PANC-1 pancreatic cancer cellsHUANG Jinping¹, ZHANG Ronghua¹, WANG Meimei¹, XIONG Yanan¹, ZHANG Guangling²(1. Hebei Key Laboratory for Chronic Diseases, School of Basic Medicine, North China University of Science and Technology, Tangshan 063210, China; 2. Hebei Provincial Key Laboratory of Medical-Industrial Integration Precision Medicine, School of Clinical Medicine, North China University of Science and Technology, Tangshan 063210, China)Abstract: To investigate the effects of protein phosphatase magnesium-dependent 1A(PPM1A)on the migration, invasion and epithelial-mesenchymal transformation(EMT)in pancreatic cancer(PC), bioinformatics analysis and cellular immunofluorescence methods were used to study the expression of PPM1A. Wound healing, Transwell, qRT-PCR, Western blot and immunofluorescence tests were used to detect the effects of PPM1A on the migration and invasion of PANC-1 cells and the expression level of EMT- 收稿日期:2023-08-17;修回日期:2023-11-07 基金项目:河北省自然科学基金资助项目(H2021209026;H2023209047);河北省人力资源和社会保障厅项目(C20210340);河北省重点研发计划项目(213777115D);河北省财政厅项目(冀财预复［2020］397号) 第一作者:黄金平(1998—),女,华北理工大学在读硕士研究生,主要从事胰腺癌分子机制研究.E-mail:2185544026@qq.com 通信作者:熊亚南(1978—),女,华北理工大学副教授,主要从事胰腺癌分子机制研究.E-mail:xiongyanan@ncst.edu.cn章广玲(1972—),女,华北理工大学教授,博士,主要从事胰腺癌分子机制研究.E-mail:zhanggl@ncst.edu.cn第2期黄金平等:PPM1A抑制胰腺癌细胞PANC-1的迁移侵袭和EMT进程markers. The bioinformatics website predicts upstream miRNAs of PPM1A.The results showed that PPM1A was underexpressed in PC and inhibited the migration, invasion and EMT process of PANC-1 cells, miR-105-5p was a potential upstream miRNA of PPM1A, and PPM1A and miR-105-5p may be new targets for the treatment of pancreatic cancer.

Effects of ODC1 downregulation on the proliferation, apoptosis, and sensitivity to platinum drugs of human SCLC cells H82 and H69

GAO Xiangpeng, WANG Xiaofang, HE Wenyi, LI Yumiao, SONG Jin, JIA Youchao

2024, 44(2):  173-181.  DOI: 10.3969/j.issn.1000-1565.2024.02.008

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To explore the effect of the downregulation of ornithine decarboxylase1(ODC1)on the proliferation, apoptosis and platinum drugs sensitivity of human small cell lung cancer(SCLC)cells H82 and H69, the expression levels of ODC1 of the human SCLC cell lines were examined. H82 and H69 cells were infected with the LV-NC/ODC1-RNAi lentivirus, then the expression of ODC1 at the mRNA and protein levels was determined by real-time fluorescent quantitative PCR(q-PCR)and immunoblot assay(Western blot). CCK-8 assay, colony formation assay, flow cytometry and Western blot were used to detect- DOI:10.3969/j.issn.1000-1565.2024.02.008下调ODC1对人SCLC细胞H82、H69增殖、凋亡及铂类药物敏感性的影响 高翔鹏^1,2,王晓芳¹,贺文艺^1,2,李玉苗¹,宋瑾¹,贾友超¹(1.河北大学附属医院 肿瘤内科,河北省肿瘤放化疗机制与规程研究重点实验室,河北 保定 071000;2.河北大学 临床医学院,河北 保定 071000)摘 要:为探索下调鸟氨酸脱羧酶1(ornithine decarboxylase1, ODC1)对人小细胞肺癌(small cell lung cancer,SCLC)细胞H82、H69增殖、凋亡及铂类药物敏感性的影响,检测了人SCLC细胞系ODC1的表达水平,并利用LV-NC/ODC1-RNAi慢病毒感染H82、H69细胞后,通过实时荧光定量PCR(qPCR)和免疫印迹实验(West1ern blot)检测ODC1在mRNA和蛋白水平的表达.CCK-8法、软琼脂克隆形成实验、流式细胞术、Western blot等检测下调ODC1后细胞增殖、凋亡及对铂类药物敏感性的变化.结果显示,ODC1在人SCLC细胞系中多数高表达,且下调ODC1后人SCLC细胞H82、H69增殖减慢,凋亡明显增加,药物敏感性增强.说明下调ODC1抑制H82、H69细胞增殖,促进细胞凋亡,增强细胞对铂类药物的敏感性.关键词:鸟氨酸脱羧酶1(ODC1);小细胞肺癌(SCLC);增殖;凋亡;药物敏感性中图分类号:R73-3 文献标志码:A 文章编号:1000-1565(2024)02-0173-09Effects of ODC1 downregulation on the proliferation, apoptosis, and sensitivity to platinum drugs of human SCLC cells H82 and H69GAO Xiangpeng^1,2, WANG Xiaofang¹, HE Wenyi^1,2, LI Yumiao¹, SONG Jin¹, JIA Youchao¹(1. Hebei Key Laboratory of Cancer Radiotherapy and Chemotherapy, Department of Medical Oncology, Affiliated Hospital of Hebei University, Baoding 071000,China;2. School of Clinical Medicine, Hebei University, Baoding 071000, China)Abstract: To explore the effect of the downregulation of ornithine decarboxylase1(ODC1)on the proliferation, apoptosis and platinum drugs sensitivity of human small cell lung cancer(SCLC)cells H82 and H69, the expression levels of ODC1 of the human SCLC cell lines were examined. H82 and H69 cells were infected with the LV-NC/ODC1-RNAi lentivirus, then the expression of ODC1 at the mRNA and protein levels was determined by real-time fluorescent quantitative PCR(q-PCR)and immunoblot assay(Western blot). CCK-8 assay, colony formation assay, flow cytometry and Western blot were used to detect- 收稿日期:2022-11-16;修回日期:2023-04-21 基金项目:河北大学研究生创新项目(HBU2022ss002);2021年政府资助省级医学优秀人才项目——小细胞肺癌基础及转化创新团队 第一作者:高翔鹏(1987—),男,河北大学硕士研究生,主要从事淋巴瘤、实体瘤的临床诊治及基础研究.E-mail:821408156@qq.com 通信作者:贾友超(1981—),男,满族,河北大学附属医院主任医师,主要从事淋巴瘤、实体瘤的临床诊治及基础研究.E-mail:youchaojia@163.com宋瑾(1982—),女,河北大学附属医院主管护师,主要从事肿瘤护理研究.E-mail:2705251562@qq.com第2期高翔鹏等:下调ODC1对人SCLC细胞H82、H69增殖、凋亡及铂类药物敏感性的影响 the changes of cell proliferation,apoptosis and sensitivity to platinum drugs after downregulation of ODC1. As a result, ODC1 was mostly highly expressed in human SCLC cell lines; the proliferation of human SCLC cells H82 and H69 slowed down; their apoptosis significantly increased and drugs sensitivity was enhanced. In summary, downregulation of ODC1 can inhibits the proliferation of human SCLC cells H82 and H69, promotes cell apoptosis, and enhances cell sensitivity to platinum drugs.

Bioinformatics analysis of the genes related to lipid metabolism in atherosclerosis

SHEN Junmin, LIN Fangrui, WANG Baofeng, LIU Li

2024, 44(2):  182-189.  DOI: 10.3969/j.issn.1000-1565.2024.02.009

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To explore the genes related to lipid metabolism in atherosclerosis, the dataset was downloaded from the gene expression omnibus(GEO)database, and weighted correlation network analysis(WGCNA), differential analysis and Venn diagram were used to screen the key genes, and then the disease correlation analysis was carried out. The results showed that, the ten key genes of HMGCR, HMGCS1, LDLR, DHCR24, DHCR7, SQLE, IDI1, INSIG1, FDFT1, MSMO1 were positively correlated with low density lipoprotein receptor(LDLR); and HMGCR, DHCR7 and INSIG1 were positively correlated with interleukin-10(IL10); and except DHCR7, the other nine genes were negatively correlated with ATP-binding cassette transporter A1(ABCA1); and DHCR24, SQLE, IDI1, INSIG1 and FDFT1 were negatively correlated with peroxisome proliferator activated receptor gamma(PPARG), the difference was statistically significant(P<0.05). GO and KEGG enrichment analysis showed that, the key- DOI:10.3969/j.issn.1000-1565.2024.02.009利用生物信息学筛选动脉粥样硬化脂质代谢基因申俊敏,林芳蕊,王宝沣,刘莉(河北大学 基础医学院,河北 保定 071000)摘 要:为挖掘动脉粥样硬化脂质代谢相关基因,从基因表达综合(gene expression omnibus,GEO)数据库中下载数据集,利用加权相关网络分析(weighted correlation network analysis, WGCNA)、差异分析以及韦恩图筛选关键基因,并进行疾病相关性分析.结果显示,10个关键基因HMGCR、HMGCS1、LDLR、DHCR24、DHCR7、SQLE、IDI1、INSIG1、FDFT1、MSMO1与低密度脂蛋白受体(low density lipoprotein receptor, LDLR)呈正相关;HMGCR、DHCR7和INSIG1与白介素10(interleukin-10, IL10)呈正相关;除DHCR7外,其余9个基因与ATP结合盒转运体A1(ATP-binding cassette transporter A1, ABCA1)呈负相关;DHCR24、SQLE、IDI1、INSIG1和FDFT1与过氧化物酶体增殖物激活受体γ(peroxisome proliferator activated receptor gamma, PPARG)呈负相关,差异具有统计学意义(P<0.05).GO和KEGG富集分析显示,关键模块基因主要富集于类固醇、胆固醇和甾醇生物合成及代谢过程.10个关键基因可为动脉粥样硬化有效治疗靶点的筛选与研发提供借鉴作用.关键词:动脉粥样硬化;生物信息学;脂质代谢;富集分析;疾病相关性分析中图分类号:R34 文献标志码:A 文章编号:1000-1565(2024)02-0182-08Bioinformatics analysis of the genes related tolipid metabolism in atherosclerosisSHEN Junmin, LIN Fangrui, WANG Baofeng, LIU Li(College of Basic Medicine, Hebei University, Baoding 071000, China)Abstract: To explore the genes related to lipid metabolism in atherosclerosis, the dataset was downloaded from the gene expression omnibus(GEO)database, and weighted correlation network analysis(WGCNA), differential analysis and Venn diagram were used to screen the key genes, and then the disease correlation analysis was carried out. The results showed that, the ten key genes of HMGCR, HMGCS1, LDLR, DHCR24, DHCR7, SQLE, IDI1, INSIG1, FDFT1, MSMO1 were positively correlated with low density lipoprotein receptor(LDLR); and HMGCR, DHCR7 and INSIG1 were positively correlated with interleukin-10(IL10); and except DHCR7, the other nine genes were negatively correlated with ATP-binding cassette transporter A1(ABCA1); and DHCR24, SQLE, IDI1, INSIG1 and FDFT1 were negatively correlated with peroxisome proliferator activated receptor gamma(PPARG), the difference was statistically significant(P<0.05). GO and KEGG enrichment analysis showed that, the key- 收稿日期:2023-04-12;修回日期:2023-08-20 基金项目:河北大学多学科交叉项目(2021DXKJC13);中央引导地方科技发展资金项目(226Z2604G);河北省省级研究生示范课程建设项目(KCJSX2022010) 第一作者:申俊敏(1994— ),女,河北大学在读硕士研究生,主要从事心血管药理学研究. E-mail:sjm15369328991@163.com 通信作者:刘莉(1979— ),女,河北大学副教授,博士,主要从事心血管药理学、药物活性筛选研究.E-mail:liulidbb@126.com第2期申俊敏等:利用生物信息学筛选动脉粥样硬化脂质代谢基因module genes were mainly enriched in steroid, cholesterol and sterol biosynthesis and metabolism processes. The screening of key genes can provide reference for the screening and development of effective therapeutic targets for atherosclerosis.

Enhanced multi-channel graph attention based on recommendation model

ZHANG Yu, SU Yilin, LI Jitao, CHEN Guangshu, ZHANG Mingkui

2024, 44(2):  190-198.  DOI: 10.3969/j.issn.1000-1565.2024.02.010

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Graph neural networks can fuse node information and topology, and are widely used in recommendation algorithms in recent years. However, the existing recommendation models based on graph neural networks have coarse granularity when modeling user behavior, and the user feature learning algorithm lacks consideration of historical information, both of which hinder the extraction of user preference features. To address the above problems, this paper proposes an enhanced multi-channel graph attention based collaborative filtering recommendation model(EMGACF). In the neighborhood aggregation phase, multi-channel graph attention is used to model fine-grained user rating levels, which effectively improves the learning ability of the model for user preferences; in the node update phase, an - DOI:10.3969/j.issn.1000-1565.2024.02.010基于增强多通道图注意力的推荐模型张昱^1,2,苏仡琳¹,李继涛¹,陈广书¹,张明魁¹(1.北京建筑大学 电气与信息工程学院,建筑大数据智能处理方法研究北京市重点实验室,北京 100044;2.中国矿业大学 深地空间科学与工程研究院,深部岩土力学与地下工程国家重点实验室,北京 100083)摘 要:图神经网络具备融合节点信息与拓扑结构的能力,近年来在推荐算法中得到了广泛的应用.然而,现有的基于图神经网络的推荐模型用户行为建模粒度较粗,用户特征学习算法对历史信息使用不足,两者阻碍了用户偏好特征的提取.针对以上问题,本文提出一种基于增强多通道图注意力的推荐模型(enhanced multi-channel graph attention based collaborative filtering recommendation model,EMGACF).在邻域聚合部分,采用多通道图注意力对细粒度用户评分等级建模,有效提升了模型对用户偏好的学习能力;在节点更新部分,提出基于增强自信息的节点更新算法,使用邻居节点聚合表示的同时保留了节点自身历史信息和内在偏好,提升了迭代过程中用户偏好的学习效果.实验部分在4种规模的常用推荐系统基准数据集上训练模型,实验结果表明,预测误差相比于主流模型降低了1.43%~7.81%.关键词:图注意力;用户偏好;自编码器;协同过滤中图分类号:TP391 文献标志码:A 文章编号:1000-1565(2024)02-0190-09Enhanced multi-channel graph attention based on recommendation modelZHANG Yu^1,2, SU Yilin¹, LI Jitao¹, CHEN Guangshu¹, ZHANG Mingkui¹(1. Beijing Key Laboratory of Intelligent Processing for Building Big Data, School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China;2. State Key Laboratory in China for GeoMechanics and Deep Underground Engineering, Institute of Deep Underground Space Science and Engineering, China University of Mining and Technology, Beijing 100083, China)Abstract: Graph neural networks can fuse node information and topology, and are widely used in recommendation algorithms in recent years. However, the existing recommendation models based on graph neural networks have coarse granularity when modeling user behavior, and the user feature learning algorithm lacks consideration of historical information, both of which hinder the extraction of user preference features. To address the above problems, this paper proposes an enhanced multi-channel graph attention based collaborative filtering recommendation model(EMGACF). In the neighborhood aggregation phase, multi-channel graph attention is used to model fine-grained user rating levels, which effectively improves the learning ability of the model for user preferences; in the node update phase, an - 收稿日期:2023-10-31;修回日期:2024-01-13 基金项目:国家重点实验室深地空间科学与工程研究院基金资助项目(XD2021021);北京建筑大学2022年度研究生教育教学质量提升资助项目(J2022003) 第一作者:张昱(1979—),男,北京建筑大学副教授,博士,主要从事大数据、人工智能、智慧城市与岩爆研究.E-mail: bigdata@bucea.edu.cn 通信作者:苏仡琳(1997—),女,北京建筑大学在读硕士研究生,主要从事大数据和人工智能、推荐算法研究.E-mail: syl9790@163.com第2期张昱等:基于增强多通道图注意力的推荐模型enhanced self-information-based node update algorithm is proposed, which uses the aggregated representation of neighboring nodes while preserving the nodes' own historical information and intrinsic preferences. This improves the learning effect of user preferences in the iterative process. By training the model on three benchmark datasets of different sizes of recommender systems, the experimental results show that the prediction error is reduced by 1.43% to 7.81% compared with the mainstream model.

Research on named entity recognition of traditional Chinese medicine based on feature enhancement

MA Yuekun, WU Guozhong

2024, 44(2):  199-207.  DOI: 10.3969/j.issn.1000-1565.2024.02.011

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Traditional Chinese medicine(TCM)herbal literature contains rich knowledge of TCM and is an important carrier of theoretical research in TCM. In order to better explore the knowledge of TCM herbal literature and accurately achieve the task of named entity recognition in TCM herbal literature, a Bert-BiGRU-CRF named entity recognition model for TCM herbal literature based on feature enhancement is proposed, which uses a feature fusion tool to concatenate the word vector generated by Bert with entity features as input, With Bi directional gated recurrent unit(BiGRU)as the feature extractor and Conditional random field(CRF)as the tag prediction, the method of feature enhancement is used to better identify the entities and their boundary information such as the name, property, taste and meridian tropism of TCM herbs, and complete the task of naming entities of TCM herbs. The experimental results on the dataset of TCM herbs show that the F1 value of the model incorporating features reaches 90.54%,- DOI:10.3969/j.issn.1000-1565.2024.02.011基于特征增强的中医本草命名实体识别方法马月坤^1,2,吴国仲¹(1.华北理工大学 人工智能学院,河北省工业智能感知重点实验室,河北 唐山 063210;2.北京科技大学 计算机与通信工程学院,材料领域知识工程北京市重点实验室,北京 100083)摘 要:传统中医本草文献含有丰富的中医知识,是中医理论研究的重要载体.为了更好地挖掘中医本草知识,精准地实现中医本草文献命名实体识别任务,提出了一种基于特征增强的Bert-BiGRU-CRF中医本草命名实体识别模型,使用特征融合器拼接Bert生成的词向量与实体特征作为输入,以双向门控循环单元(bi-directional gated recurrent unit,BiGRU)为特征提取器,以条件随机场(conditional random fields,CRF)进行标签预测,通过特征增强的方法更好地识别中医本草的药名、药性、药味、归经等实体及其边界信息,完成中医本草命名实体任务.在中医本草数据集上的实验结果表明,融入特征的模型F1值达到了90.54%,证明了所提出的方法可以更好地提高中医本草命名实体识别精度.关键词:命名实体识别;中草药;特征增强;词典信息中图分类号:TP391.1;R271.14 文献标志码:A 文章编号:1000-1565(2024)02-0199-09Research on named entity recognition of traditional Chinese medicine based on feature enhancementMA Yuekun^1,2, WU Guozhong¹(1. Hebei Key Laboratory of Industrial Intelligent Perception, Institute for Artificial Intelligence, North China University of Science and Technology, Tangshan 063210, China;2. Beijing Key Laboratory of Knowledge Engineering in the Field of Materials, Institute for Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China)Abstract: Traditional Chinese medicine(TCM)herbal literature contains rich knowledge of TCM and is an important carrier of theoretical research in TCM. In order to better explore the knowledge of TCM herbal literature and accurately achieve the task of named entity recognition in TCM herbal literature, a Bert-BiGRU-CRF named entity recognition model for TCM herbal literature based on feature enhancement is proposed, which uses a feature fusion tool to concatenate the word vector generated by Bert with entity features as input, With Bi directional gated recurrent unit(BiGRU)as the feature extractor and Conditional random field(CRF)as the tag prediction, the method of feature enhancement is used to better identify the entities and their boundary information such as the name, property, taste and meridian tropism of TCM herbs, and complete the task of naming entities of TCM herbs. The experimental results on the dataset of TCM herbs show that the F1 value of the model incorporating features reaches 90.54%,- 收稿日期:2023-01-10;修回日期:2023-04-26 基金项目:河北省三三三人才项目(A201803082) 第一作者:马月坤(1976—),女,华北理工大学教授,博士,主要从事自然语言处理. E-mail:mayuekun@163.com第2期马月坤等:基于特征增强的中医本草命名实体识别方法proving that the proposed method can better improve the accuracy of named entity recognition in TCM herbs.

Intelligent classification of land use based on BP neural network and stormwater simulation

JIANG Yanbo, XU Ningwei, CHEN Taixi, QIN Anchen, HUANG Dazhuang

2024, 44(2):  208-215.  DOI: 10.3969/j.issn.1000-1565.2024.02.012

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The accuracy of land use data significantly impacts the simulation study of stormwater risks. Complex nonlinear relationships exist among different land features in land use classification. In order to enhance the accuracy of land classification data, this research introduces the Backpropagation(BP)neural network model with nonlinear mapping capabilities. A remote sensing image land use classification method based on deep learning is proposed. The study utilizes GF-2 remote sensing image data from the Yesanpo Scenic Area to conduct multiscale segmentation on the image. Spectral data reflecting land use information, along with DEM data and slope data, are chosen as input layer neurons, while land use types - DOI:10.3969/j.issn.1000-1565.2024.02.012基于BP神经网络的土地利用智能分类识别与雨洪风险模拟姜艳波¹,徐宁伟²,陈泰熙³,秦安臣¹,黄大庄¹(1.河北农业大学 园林与旅游学院,河北 保定 071001;2.北京城市学院 城市建设学部,北京 100191;3.香港浸会大学 计算机科学系,香港 999077 )摘 要:土地利用分类数据的精度对雨洪风险淹没模拟研究具有重要影响.土地利用分类中不同地物之间存在复杂的非线性关系,为提高土地分类数据的精度,本研究引入具有非线性映射能力的BP神经网络模型,提出了一种基于深度学习的遥感影像土地利用分类方法.选取野三坡风景名胜区GF-2遥感影像数据,对该影像进行多尺度分割.同时将能够反映土地利用信息的光谱数据和DEM数据、坡度数据,作为输入层神经元,将土地利用类型作为输出层神经元,归一化处理后进行迭代训练,构建了基于BP神经网络的土地利用分类模型.该模型的分类总体精度达到91%,Kappa系数为0.890 6.基于该模型的识别结果,利用水文模型和ArcGIS空间分析工具,模拟并分析野三坡景区百年一遇的极端降水事件造成的雨洪淹没区,并提出应对雨洪灾害的相关策略.关键词:BP神经网络;土地利用分类;机器学习;雨洪风险;野三坡风景名胜区中图分类号:TP391 文献标志码:A 文章编号:1000-1565(2024)02-0208-08Intelligent classification of land use based on BP neural network and stormwater simulationJIANG Yanbo¹, XU Ningwei², CHEN Taixi³, QIN Anchen¹, HUANG Dazhuang¹(1. College of Landscape Architecture and Tourism, Hebei Agricultural University, Baoding 071001, China; 2. Urban Construction Department, Beijing City University, Beijing 100191, China; 3. Department of Computer Science, Hong Kong Baptist University, Hong Kong 999077, China)Abstract:The accuracy of land use data significantly impacts the simulation study of stormwater risks. Complex nonlinear relationships exist among different land features in land use classification. In order to enhance the accuracy of land classification data, this research introduces the Backpropagation(BP)neural network model with nonlinear mapping capabilities. A remote sensing image land use classification method based on deep learning is proposed. The study utilizes GF-2 remote sensing image data from the Yesanpo Scenic Area to conduct multiscale segmentation on the image. Spectral data reflecting land use information, along with DEM data and slope data, are chosen as input layer neurons, while land use types - 收稿日期:2023-10-08;修回日期:2024-01-16 基金项目:河北省文化艺术科学规划和旅游研究项目(HB22-YB026);绍兴市哲学社会科学研究“十三五”规划2019年度重点课题(135408);河北省住房和城乡建设厅科研发展基金计划项目 第一作者:姜艳波(1990—),女,满族,河北农业大学在读博士,主要从事计算机在雨洪管控中的应用研究.E-mail:jiangyanbo_jyb@126.com 通信作者:秦安臣(1961—),男,河北农业大学教授,博士生导师,主要从事遥感影像在风景区中的应用研究.E-mail:759256768@qq.com黄大庄(1963—),男,河北农业大学教授,博士生导师,主要从事生态旅游规划、园林植物应用研究.E-mail:huangdazhuang@126.com第2期姜艳波等:基于BP神经网络的土地利用智能分类识别与雨洪风险模拟serve as output layer neurons. After normalization, an iterative training process is conducted to construct a BP neural network-based land use classification model. The model achieves an overall classification accuracy of 91%, with a Kappa coefficient of 0.8906. Based on the results obtained from this model, hydrological modeling and ArcGIS spatial analysis tools are employed to simulate and analyze the rain-induced flood-affected areas resulting from a once-in-a-century extreme precipitation event in the Yesanpo Scenic Area. Relevant strategies to mitigate rainfall-induced flooding are also proposed.

Research on consensus algorithm for penalty change execution

MA Guofu, SUN Yuhao, WANG Lu, SONG Yingbo

2024, 44(2):  216-224.  DOI: 10.3969/j.issn.1000-1565.2024.02.013

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Blockchain technology supports the authenticity and trustworthiness of penalty change execution data, enabling mutual trust and efficient collaboration among various entities.To address the constraints of Proof of Authority, an improved Dynamic Weighted Proof of Authority algorithm has been proposed to request consensus for penalty change execution.Another approach to achieve on-chain consensus among penalty change execution entities is to build an alliance chain and propose an on-chain consensus algorithm based on the Tangle structure.Based on the(t, n)threshold signature, a distributed oracle machine offline consensus algorithm has been proposed to carry out the on-chain and off-chain consensus. The bandwidth occupancy and consensus duration have been simulated, and the distributed oracle machine offline consensus algorithm has more advantages.