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Telegraph Flux Noise Induced Beating Ramsey Fringe in Transmon Qubits
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作者 Zhi-Hao Wu Ling-Xiao Lei +8 位作者 Xin-Fang Zhang Shi-Chuan Xue Shun Hu Cong Li Xiang Fu Ping-Xing Chen Kai Lu Ming-Tang Deng Jun-Jie Wu 《Chinese Physics Letters》 2025年第4期23-37,共15页
Ramsey oscillations typically exhibit an exponential decay envelope due to environmental noise. However,recent experiments have observed nonmonotonic Ramsey fringes characterized by beating patterns, which deviate fro... Ramsey oscillations typically exhibit an exponential decay envelope due to environmental noise. However,recent experiments have observed nonmonotonic Ramsey fringes characterized by beating patterns, which deviate from the standard behavior. These beating patterns have primarily been attributed to charge-noise fluctuations.In this paper, we have experimentally observed Ramsey fringe with beating pattern for transmon qubits, and traced the origin to electric instruments induced flux noise. 展开更多
关键词 ramsey fringes electric instruments induced flux noise ramsey oscillations ramsey fringe transmon qubits beating patterns beating pattern telegraph flux noise
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基于KAN-N-Beats的可解释性滑坡位移预测
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作者 刘慧婷 谢凯 +2 位作者 田宏岭 贺建飚 张伟 《人民长江》 北大核心 2025年第8期133-138,共6页
针对现有滑坡位移预测模型预测精度不高、泛化性差、模型复杂度高以及传统深度学习算法可解释性差的问题,提出了一种基于KAN-N-Beats的滑坡位移预测模型。使用KAN代替N-Beats中的全连接层,利用KAN采用自适应学习机制的特点,提高了预测... 针对现有滑坡位移预测模型预测精度不高、泛化性差、模型复杂度高以及传统深度学习算法可解释性差的问题,提出了一种基于KAN-N-Beats的滑坡位移预测模型。使用KAN代替N-Beats中的全连接层,利用KAN采用自适应学习机制的特点,提高了预测精度以及泛化性能;同时KAN通过稀疏性、可视化、剪枝、符号化及仿射拟合等多种手段,提高了模型的可解释性。N-Beats则将预测任务分解为趋势和季节性成分,便于理解不同时间序列特征的提取,使得KAN-N-Beats模型预测结果具有更高的可解释性;利用N-Beats模型内部可分解的能力将滑坡位移分解后预测,不需要大量特征工程,减少了KAN-N-Beats模型复杂度,提高了预测效率。使用国家冰川冻土沙漠科学数据中心的三峡库区白水河滑坡和八字门滑坡的数据作为研究数据集,该方法在白水河滑坡ZG118监测点的预测结果与真实位移高度重合,R^(2)和RMSE分别为0.9887和5.0313 mm。在白水河滑坡ZG118以及八字门滑坡ZG110、ZG111监测点的泛化性测试表明,该算法优于其他对比模型,可提高滑坡预测精度,且具有可解释性。研究成果可为提升滑坡位移预测效率提供参考。 展开更多
关键词 滑坡位移预测 可解释性 KAN-N-beats模型 时序预测 深度学习 白水河滑坡 八字门滑坡
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蜡梅CpBEAT的克隆、表达分析及功能验证
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作者 王飞龙 梁前艳 +2 位作者 尚均忠 陈龙清 向林 《园艺学报》 北大核心 2025年第1期160-170,共11页
以蜡梅(Chimonanthus praecox)为材料,采用顶空固相微萃取-气相色谱质谱技术对其5个花期的花器官挥发物含量进行了测定。结果表明,随着花朵的发育,苯甲醇和乙酸苄酯的含量逐渐升高,在盛开期最高。从花中克隆出结构基因CpBEAT,Gen Bank... 以蜡梅(Chimonanthus praecox)为材料,采用顶空固相微萃取-气相色谱质谱技术对其5个花期的花器官挥发物含量进行了测定。结果表明,随着花朵的发育,苯甲醇和乙酸苄酯的含量逐渐升高,在盛开期最高。从花中克隆出结构基因CpBEAT,Gen Bank登录号为OQ503489,开放阅读框为1 392 bp,编码463个氨基酸。CpBEAT的表达水平随着花发育逐渐升高,表达趋势与乙酸苄酯的挥发趋势基本一致。将CpBEAT导入烟草异源表达,在外施底物苯甲醇的条件下能够合成乙酸苄酯。进一步克隆CpBEAT的启动子,通过双荧光素酶试验发现CpMYC2正向调控CpBEAT启动子转录活性。 展开更多
关键词 蜡梅 花香 苯甲醇乙酰基转移酶(beat) 乙酸苄酯 MYC2
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基于STL分解与N-BEATS的铁路货运站短期装车量组合预测模型
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作者 马亮 陈奕霖 +2 位作者 郭进 胡宸瀚 金福才 《中国铁道科学》 北大核心 2025年第3期216-228,共13页
针对铁路货运站短期装车量的波动性与随机性特征导致其时序特征较难提取的问题,提出基于STL分解方法与N-BEATS神经网络模型的组合预测模型STL-N-BEATS。先通过STL分解方法将原始数据分解为趋势序列、周期序列和剩余项序列,再利用N-BEAT... 针对铁路货运站短期装车量的波动性与随机性特征导致其时序特征较难提取的问题,提出基于STL分解方法与N-BEATS神经网络模型的组合预测模型STL-N-BEATS。先通过STL分解方法将原始数据分解为趋势序列、周期序列和剩余项序列,再利用N-BEATS模型对各分量分别建模并重构预测结果,最后基于某铁路运输企业的4个货运站546 d的历史装车数据,对比所提模型与其他6种模型的预测性能。结果表明:A站测试集下,其他6种模型的预测均有一定滞后性,而所提模型可以较好地拟合真实值曲线,计算得到的对称平均绝对百分比误差、平均绝对误差和均方根误差3项指标均最低,这是由于所提模型分解时序特征后得到的趋势序列和周期序列主导了预测结果,降低了整体数据的不确定性和波动性;预测步长分别为3和7 d时,在B,C,D这3个货运站日装车量预测和D站不同去向、不同品名日装车量预测场景下,所提模型的3项指标仍均最低,标志着其具有良好的预测性能和泛化能力。 展开更多
关键词 铁路货运 短期装车量预测 深度学习 STL分解方法 N-beatS模型
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Evaluating time-bound efficacy of binaural beats for tinnitus treatment in individuals with normal hearing:A brainwave entrainment study
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作者 Praveen Prakash Sreeraj Konadath 《Journal of Otology》 2025年第1期58-66,共9页
Background: Brainwave entrainment using binaural beats has shown potential in treating tinnitus, but most studies have focused on one-month treatment durations. Objective: This study aimed to evaluate the time-bound e... Background: Brainwave entrainment using binaural beats has shown potential in treating tinnitus, but most studies have focused on one-month treatment durations. Objective: This study aimed to evaluate the time-bound efficacy of brainwave entrainment using binaural beats, comparing it to a standard tinnitus masker over a three-month duration. Method: Sixty-three individuals having tinnitus with normal hearing sensitivity were enrolled in the study. The participants were categorized into groups Ⅰ, Ⅱ, and Ⅲ. They were provided with delta(4 Hz) and alpha(10 Hz) frequency binaural beats and standard tinnitus masker, respectively, for a duration of three months. The tinnitus handicap inventory(THI) scores, Visual analogue scale(VAS) rating for tinnitus distress, and quality of life parameters were measured. The reductions obtained for each measure during the end of the first, second and third month were measured and compared across the groups. Results: All three groups showed considerable reductions in THI and VAS scores and improvements in the quality of life domains, focusing on physical and psychological health. However, groups Ⅰ and Ⅱ, who received binaural beats stimuli, showed higher benefits than those who received standard tinnitus masker. Conclusion: The results of the current study indicated that binaural beats can be an effective treatment technique for individuals with tinnitus having normal hearing sensitivity. Clinicians and otology/audiology practitioners shall adopt this innovative treatment after further validating these findings. 展开更多
关键词 TINNITUS Tinnitus treatment Binaural beats Brainwave entrainment Visual analogue scale Quality of life
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Study on the Correlation Between Night ECG Parameters and Sleep Quality in Elderly Patients with Atrial Premature Beat
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作者 Yaqian Huang 《Journal of Clinical and Nursing Research》 2025年第4期22-29,共8页
Objective:To explore the correlation between night ECG parameters and sleep quality in elderly patients with atrial premature beat(PAC).Methods:A total of 307 elderly patients with PAC were selected from March 2022 to... Objective:To explore the correlation between night ECG parameters and sleep quality in elderly patients with atrial premature beat(PAC).Methods:A total of 307 elderly patients with PAC were selected from March 2022 to March 2024.The parameters of room morning load and heart rate variability(HRV)at night(22:00-6:00)were collected by 24h holter electrocardiogram,and the sleep quality of PAC patients was evaluated by Pittsburgh Sleep Quality Index(PSQI).Multiple regression analysis was used to explore the correlation between night ECG parameters and sleep quality.Results:The incidence of sleep disorder in 307 elderly PAC patients was 62.54%.Univariate analysis showed that there were no statistically significant differences in gender,BMI and education level(P>0.05),but there were statistically significant differences in age,disease course,underlying diseases,atrial morning load,SDNN,RMSSD,LF,HF,LF/HF and TP(P<0.05).Multivariate Logistic regression analysis showed that atrial morning load,SDNN,RMSSD,LF and LF/HF were independent influencing factors of sleep disorder in elderly PAC patients(P<0.05).Patients with sleep disorders were divided into mild group,moderate group and severe group according to PSQI score,and there were statistically significant differences in the indexes of atrial morning load,SDNN,LF,LF/HF and TP among the three groups(all P<0.05).Spearman correlation analysis showed that room morning load,LF,LF/HF and TP were positively correlated with the degree of sleep disorder,while SDNN parameters were negatively correlated with the degree of sleep disorder(all P<0.05).Conclusion:There is a significant correlation between night ECG parameters and sleep disorders in elderly patients with PAC.It is possible to prevent and treat sleep disorders by monitoring ECG abnormalities and improve the reliability of treatment. 展开更多
关键词 Atrial premature beat Elderly patients Nocturnal electrocardiogram Sleep quality
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基于N-BEATS和相关向量机的锂电池健康状态混合预测方法
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作者 李泽龙 乔钢柱 +1 位作者 崔方舒 蔡江辉 《中北大学学报(自然科学版)》 2025年第3期316-325,共10页
锂离子电池是众多领域的能源核心部件,准确预测其生命周期内的健康状态至关重要,因此本文提出了一种基于神经基扩展分析(N-BEATS)和相关向量机的锂电池健康状态混合预测方法。首先,为了提高预测的准确性,利用变分模态分解方法对原始时... 锂离子电池是众多领域的能源核心部件,准确预测其生命周期内的健康状态至关重要,因此本文提出了一种基于神经基扩展分析(N-BEATS)和相关向量机的锂电池健康状态混合预测方法。首先,为了提高预测的准确性,利用变分模态分解方法对原始时间序列进行分解;其次,将分解后的子序列根据中心频率划分为高频和低频子序列,利用具有残差原理的深层神经网络N-BEATS模型和相关向量机模型分别对其进行建模预测;最后,通过对各个子序列的预测结果进行叠加重构得到最终的预测结果。为了验证所提方法的有效性,本文使用NASA和CALCE提供的锂离子电池数据进行了仿真实验。实验结果表明,与单一的NBEATS模型和相关向量机模型相比,所提混合方法能够有效地结合两种模型的优势,展现出较高的预测精度。进一步地,与长短期记忆网络、高斯过程回归、支持向量回归模型进行对比,所提方法的均方根误差分别降低了96.5%,74.5%和62.5%,均方误差分别降低了97.3%,76.7%和58.8%。 展开更多
关键词 锂离子电池 健康状态 N-beatS模型 变分模态分解 相关向量机
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基于大数据平台的SO_(2)排放GWO-N-BEATS预测算法 被引量:2
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作者 曾庆华 冉鹏 +1 位作者 董坤 刘旭 《热能动力工程》 CAS CSCD 北大核心 2024年第3期125-131,共7页
为了更精确地预测SO_(2)排放质量浓度,解决非线性随机预测问题,提出了一种基于随机森林特征选择的GWO-N-BEATS算法。通过随机森林算法筛选输入参数的特征,使用灰狼优化算法对N-BEATS算法的超参数进行优化;与长短期记忆网络(Long Short-T... 为了更精确地预测SO_(2)排放质量浓度,解决非线性随机预测问题,提出了一种基于随机森林特征选择的GWO-N-BEATS算法。通过随机森林算法筛选输入参数的特征,使用灰狼优化算法对N-BEATS算法的超参数进行优化;与长短期记忆网络(Long Short-Term Memory, LSTM)、门控循环神经网络(Gated Recurrent Unit, GRU)以及N-BEATS算法对比分析,验证了GWO-N-BEATS算法的有效性。将本算法应用于某大型电网公司大数据平台,探索了复杂智能算法在大数据平台上开展污染物排放预测的可行性。研究结果表明,相较于长短期记忆网络、门控循环神经网络和N-BEATS方法,GWO-N-BEATS算法预测误差更小,其中平均绝对百分比误差MAPE为1.50%,相对均方误差RMSE为0.42,平均绝对误差MAE为0.33,决定系数R^(2)为0.97。 展开更多
关键词 随机森林 特征选择 灰狼优化算法 大数据平台 N-beatS SO2预测
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基于N-BEATS的能源互联网短期负荷预测 被引量:3
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作者 尹浩然 张玲华 《电子设计工程》 2024年第11期76-81,共6页
短期负荷预测在能源互联网的规划中既占重要组成部分,又是能源系统可靠高效运行的基础。在能源互联网中能源的短期负荷预测精度问题是人们重点关注问题。N-BEATS的深度神经结构未使用时序特别组成成分,仅使用一种基于后向和前向残差链... 短期负荷预测在能源互联网的规划中既占重要组成部分,又是能源系统可靠高效运行的基础。在能源互联网中能源的短期负荷预测精度问题是人们重点关注问题。N-BEATS的深度神经结构未使用时序特别组成成分,仅使用一种基于后向和前向残差链路以及非常深的全连接层堆栈的深度神经架构。该结构具有可解释性、适用于广泛的目标域、并且训练速度快等优点。实验使用N-BEATS模型对历史负荷数据进行训练,然后对未来负荷进行短期负荷预测,取得了较高的预测精度。测得平均绝对百分比误差(eMAPE)为1.26%,平均绝对误差(eMAE)为84.238 kW,决定系数(R^(2))为0.9955,实验结果表明采用该方法的预测精度高于传统的预测方法,如在eMAPE方面相比TCN降低了0.61%。 展开更多
关键词 能源互联网 短期负荷预测 N-beatS网络模型 深度学习 时间序列
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基于N-BEATS的托辊滚动轴承剩余寿命预测 被引量:1
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作者 滕春阳 李庆健 +2 位作者 陈金刚 张建飞 薛国庆 《中国安全科学学报》 CAS CSCD 北大核心 2024年第S01期246-252,共7页
为减少煤矿井下带式输送机因托辊故障带来的安全事故和经济损失,提高工作人员和机组设备的安全性和运输效率,对于不同工况下不同位置托辊滚动轴承出现的异常振动情况,应用具有深层结构和残差网络的N-BEATS预测模型进行滚动轴承寿命预测... 为减少煤矿井下带式输送机因托辊故障带来的安全事故和经济损失,提高工作人员和机组设备的安全性和运输效率,对于不同工况下不同位置托辊滚动轴承出现的异常振动情况,应用具有深层结构和残差网络的N-BEATS预测模型进行滚动轴承寿命预测。首先,分析时间序列预测模型N-BEATS的原理及结构,并根据N-BEATS原理建立适用于托辊滚动轴承的寿命预测模型;然后,以某矿带式输送机托辊实际运行工况为背景,搭建基于DVS技术的托辊滚动轴承振动信号监测平台,采集不同工况下的托辊轴承振动信号数据;最后,将采集到的托辊滚动轴承振动数据输入到基于时间序列预测模型(N-BEATS)、卷积神经网络(RCNN)、相似性预测模型中,与真实值进行对比,并评估3种托辊滚动轴承剩余寿命预测质量。结果表明:N-BEATS预测模型相对于RCNN和相似性预测模型,其平均绝对误差分别提升了5.3%和4.1%;N-BEATS预测模型相对均方根误差分别提升了6.3%和5.2%。 展开更多
关键词 基于时间序列(N-beatS)预测模型 托辊 滚动轴承 寿命预测 带式输送机 振动信号
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基于专利数据应用LDA和N-BEATS组合方法的技术主题预测研究 被引量:2
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作者 吴雷 杜文研 林超然 《数字图书馆论坛》 CSSCI 2023年第11期62-73,共12页
预测技术主题未来热点,有助于企业在技术层面判别现状、识别未来技术方向并提前规划战略布局。提出LDA和N-BEATS组合方法,运用LDA模型提取专利文献数据的技术主题,引入N-BEATS网络模型分析各技术主题专利数量的时间序列,发挥其分析可解... 预测技术主题未来热点,有助于企业在技术层面判别现状、识别未来技术方向并提前规划战略布局。提出LDA和N-BEATS组合方法,运用LDA模型提取专利文献数据的技术主题,引入N-BEATS网络模型分析各技术主题专利数量的时间序列,发挥其分析可解释性时间序列的优势,在预测模型中加入技术研发活动周期性模块,并以芯片技术为例,运用该组合方法预测产业的技术主题和未来趋势。对比实验中LDA和N-BEATS组合方法的预测精度高于LDA-LSTM、IPC-N-BEATS和IPC-LSTM三种基准方法。案例结果表明,未来芯片产业研发热点是电子级树脂、蚀刻机、芯片封装、芯片键合、抛光液。 展开更多
关键词 LDA N-beatS网络模型 深度学习 芯片产业 技术预测
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基于N-BEATS神经网络的滚动轴承剩余寿命预测 被引量:2
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作者 时培明 苏世敏 +2 位作者 马慧中 许学方 韩东颖 《计量学报》 CSCD 北大核心 2023年第8期1240-1247,共8页
针对轴承剩余使用寿命预测时采集到的信号序列复杂且不平稳,导致预测精度和性能较低的问题,采用经验模式分解对信号序列进行自适应分解,利用动态时间规整算法筛选主要退化特征,提取信号序列趋势特征,使用具有残差原理的深层神经网络N-BE... 针对轴承剩余使用寿命预测时采集到的信号序列复杂且不平稳,导致预测精度和性能较低的问题,采用经验模式分解对信号序列进行自适应分解,利用动态时间规整算法筛选主要退化特征,提取信号序列趋势特征,使用具有残差原理的深层神经网络N-BEATS进行预测。对于预测历史数据较少的问题,采用递归与直接相结合的预测结构对剩余寿命进行多步预测。将N-BEATS与长短时记忆神经网络、灰色预测模型进行比较,结果表明在不同工况下,所提出的方法预测结果的平均绝对误差相较于LSTM、灰色预测模型分别提升了3.2%以及3.3%,相对均方根误差分别提升了3.5%以及3.1%。 展开更多
关键词 计量学 滚动轴承 剩余寿命预测 动态时间规整(DTW) N-beat神经网络
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基于N-BEATS的单站对流层天顶总延迟预报 被引量:1
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作者 苏行 杨韬 +1 位作者 孙保琪 杨旭海 《中国空间科学技术》 CSCD 北大核心 2022年第2期56-63,共8页
高精度对流层延迟先验值有助于加速精密单点定位的快速收敛。基于高精度高分辨率气象数据库,采用深度学习N-BEATS算法,进行了单站对流层天顶总延迟的预报试验。试验选取了9个IGS跟踪站,试验弧段从2002年1月至2019年6月共18.5 a。首先基... 高精度对流层延迟先验值有助于加速精密单点定位的快速收敛。基于高精度高分辨率气象数据库,采用深度学习N-BEATS算法,进行了单站对流层天顶总延迟的预报试验。试验选取了9个IGS跟踪站,试验弧段从2002年1月至2019年6月共18.5 a。首先基于N-BEATS算法,设计了3种预报策略,然后基于前17.5 a针对不同预报策略进行模型训练,并对最后365 d的对流层天顶总延迟进行预报。试验结果表明,以该气象数据库为基准,12 h以内预报弧段的预报残差均值量级大多可达亚毫米,2 h、4 h、6 h的预报残差的标准差分别约为5 mm、9 mm、13 mm。 展开更多
关键词 N-beatS 深度学习 时序预报 对流层天顶总延迟 对流层湿延迟 对流层干延迟
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时序InSAR滑坡形变监测与预测的N-BEATS深度学习法——以新铺滑坡为例 被引量:16
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作者 郭澳庆 胡俊 +4 位作者 郑万基 桂容 杜志贵 朱武 贺乐和 《测绘学报》 EI CSCD 北大核心 2022年第10期2171-2182,共12页
滑坡通常发生突然,破坏力巨大,经常造成重大生命安全事故和财产损失。高可靠性、高精度及具有抗差性能的滑坡形变监测预测手段和方法对于国家防灾减灾需求具有切实意义。InSAR技术是一种能够全天时和全天候观测获取高空间分辨率和宽覆... 滑坡通常发生突然,破坏力巨大,经常造成重大生命安全事故和财产损失。高可靠性、高精度及具有抗差性能的滑坡形变监测预测手段和方法对于国家防灾减灾需求具有切实意义。InSAR技术是一种能够全天时和全天候观测获取高空间分辨率和宽覆盖率影像,高灵敏性捕捉时空维动态变化的监测手段,然而目前应用InSAR时序影像对滑坡区进行滑坡预测的工作仅是凤毛麟角。基于时序InSAR观测结果,本文提出了一种能够有效解决中短期滑坡预测问题的深度学习滑坡预测方法。在三峡新铺滑坡区应用N-BEATS网络模型和Sentinel-1 SAR数据进行形变预测,以均方根误差1.1 mm的预测精度完成了滑坡预测工作,并对预测结果进行了数据结构影响的规律性分析、传统方法效果对比、抗差性评估及置信区间估计等多方位的剖析,结果显示出了其高精度、高可靠性及具有一定抗差能力的突出优势。 展开更多
关键词 INSAR 深度学习 滑坡预测 N-beatS网络模型
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strike,beat与hit
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作者 廖添发 《中学英语园地(高三版)》 2003年第11期19-20,共2页
关键词 STRIKE beat HIT 词义 用法 高中 英语 词汇
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One beat冠状动脉轴扫结合Snap shot Freeze重组的应用价值:与常规屏气扫描模式对比 被引量:5
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作者 李响 刘斌 +3 位作者 蒋炯 李选 孙华富 朱爱丽 《影像诊断与介入放射学》 2019年第1期27-31,共5页
目的探讨One beat冠状动脉轴扫结合Snap shot Freeze重组技术在自由呼吸冠脉扫描(CCTA)中的价值。方法收集我院行16 cm宽体探测器One beat轴扫的冠脉CTA检查者126例,按屏气和自由呼吸分为两组,其中屏气组74例,自由呼吸52例。再根据受检... 目的探讨One beat冠状动脉轴扫结合Snap shot Freeze重组技术在自由呼吸冠脉扫描(CCTA)中的价值。方法收集我院行16 cm宽体探测器One beat轴扫的冠脉CTA检查者126例,按屏气和自由呼吸分为两组,其中屏气组74例,自由呼吸52例。再根据受检者心率分为低中高三个心率组(A、B、C),其中屏气组:A1组(小于70 bpm)41例,B1组(71~85 bpm)24例,C1组(大于85 bpm)9例;自由呼吸组:A2 (小于70 bpm)27例,B2组(71~85 bpm)16例,C2组(大于85 bpm)9例。所有受检者均采用手动选取最佳时相并结合冠状动脉冻结技术(SSF)技术进行重组,得到运动伪影补偿前、后的图像。客观评分:分别测量屏气组和自由呼吸组冠状动脉CTA图像的主动脉弓根部CT值、噪声值、信噪比、对比度噪声比;主观评分:由2名有经验的放射科医师采用5分法对SSF前后的5组图像的右冠状动脉(RCA)、左前降支(LAD)、左旋支(LCX)进行评分。比较各分支在SSF前后图像质量的变化并比较在自由呼吸和屏气扫描下SSF后不同心率组图像质量的差异。结果屏气组和自由呼吸组的主动脉弓根部CT值、噪声、信噪比、对比度噪声比均无明显差别(P>0.05)。在使用SSF后无论在自由呼吸组还是屏气组均能够提高图像质量(P<0.05);自由呼吸组和屏气组在使用SSF后对于不同心率冠状动脉图像的质量的提升均无明显差别(P>0.05)。结论通过自由呼吸组和屏气组的主客观的比较,依赖于One beat冠状动脉轴扫结合SSF重组,自由呼吸冠状动脉扫描可以提供高质量的图像。 展开更多
关键词 冠状动脉血管成像 运动补偿算法 运动伪影 Onebeat冠状动脉轴扫描
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Protective effects of L-arginine against ischemia-reperfusion injury in non-heart beating rat liver graft 被引量:5
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作者 Gong, Jin Lao, Xue-Jun +1 位作者 Zhang, Shui-Jun Chen, Shi 《Hepatobiliary & Pancreatic Diseases International》 SCIE CAS 2008年第5期481-484,共4页
BACKGROUND: Although the use of non-heart beating donors (NHBDs) could bridge the widening gap between organ demand and supply, its application to liver transplantation is limited due to the high incidence of primary ... BACKGROUND: Although the use of non-heart beating donors (NHBDs) could bridge the widening gap between organ demand and supply, its application to liver transplantation is limited due to the high incidence of primary graft loss. Prevention of liver injury in NHBDs will benefit the results of transplantation. This study was conducted to evaluate the protective effects of L-arginine on liver grafts from NHBDs. METHODS: One hundred and four Wistar rats were randomly divided into 7 groups: normal control (n=8) controls 1, 2 and 3 (C-1, C-2, C-3, n=16), and experimental 1, 2 and 3 (E-1, E-2, E-3, n=16). For groups C-1 and E-1, C-2 and E-2, and C-3 and E-3, the warm ischemia time was 0, 30, and 45 minutes, respectively. Liver grafts were flushed with and preserved in 4 degrees C Euro-collins solution containing 1 mmol/L L-arginine for 1 hour in each experimental group. Recipients of each experimental group were injected with L-arginine (10 mg/kg body weight) by tail vein 10 minutes before portal vein reperfusion. Donors and recipients of each experimental control group were treated with normal saline. Then transplantation was performed. At 1, 3, and 24 hours after portal vein reperfusion, blood samples were obtained to determine the levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), nitric oxide (NO) and plasma endothelin (ET). At 3 hours after portal vein reperfusion, grafts samples were fixed in 2.5% glutaraldehyde for electron microscopic observation. RESULTS: At I hour after portal vein reperfusion, the levels of NO in groups E-1, E-2, E-3 and C-1, C-2, C-3 were lower, while the levels of plasma ET, serum ALT and AST were higher than those in the normal control group (P<0.05). At 1, 3, and 24 hours, the levels of NO in groups E-1, E-2, E-3 were higher, while the levels of plasma ET, serum ALT and AST were lower than those in the corresponding control groups (C-1, C-2, C-3) (P<0.05). The levels of NO in groups C-2 and C-3 were lower than in group C-1 (P<0.05), and the level of NO in group C-3 was lower than in group C-2 (P<0.05). At 1, 3 and 24 hours, the levels of plasma ET, serum ALT, and AST in groups E-1, E-2, E-3 were lower than those in the corresponding control groups (C-1, C-2, C-3) (P<0.05). The levels of plasma ET, serum ALT, and AST were lower in group C-3 than in groups C-1 and C-2 (P<0.05). Pathological changes in groups E-1, E-2, E-3 were milder than those in the corresponding experimental control groups (C-1, C-2, C-3). CONCLUSIONS: The imbalance between NO and ET plays an important role in the development of ischemia-reperfusion injury of liver grafts from NHBDs. L-arginine can attenuate injury in liver grafts from NHBDs by improving the balance between NO and ET. 展开更多
关键词 liver transplantation non-heart beating donor L-ARGININE nitric oxide ischemia-reperfusion injury
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Metal Flowing of Involute Spline Cold Roll-beating Forming 被引量:20
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作者 CUI Fengkui WANG Xiaoqiang +3 位作者 ZHANG Fengshou XU Hongyu QUAN Jianhui LI Yan 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2013年第5期1056-1062,共7页
The present research on involute spline cold roll-beating forming is mainly about the principles and motion relations of cold roll-beating,the theory of roller design,and the stress and strain field analysis of cold r... The present research on involute spline cold roll-beating forming is mainly about the principles and motion relations of cold roll-beating,the theory of roller design,and the stress and strain field analysis of cold roll-beating,etc.However,the research on law of metal flow in the forming process of involute spline cold roll-beating is rare.According to the principle of involute spline cold roll-beating,the contact model between the rollers and the spline shaft blank in the process of cold roll-beating forming is established,and the theoretical analysis of metal flow in the cold roll-beating deforming region is proceeded.A finite element model of the spline cold roll-beating process is established,the formation mechanism of the involute spline tooth profile in cold roll-beating forming process is studied,and the node flow tracks of the deformation area are analyzed.The experimental research on the metal flow of cold roll-beating spline is conducted,and the metallographic structure variation,grain characteristics and metal flow line of the different tooth profile area are analyzed.The experimental results show that the particle flow directions of the deformable bodies in cold roll-beating deformation area are determined by the minimum moving resistance.There are five types of metal flow rules of the deforming region in the process of cold roll-beating forming.The characteristics of involute spline cold roll-beating forming are given,and the forming mechanism of involute spline cold roll-beating is revealed.This paper researches the law of metal flow in the forming process of involute spline cold roll-beating,which provides theoretical supports for solving the tooth profile forming quality problem. 展开更多
关键词 involute spline cold roll-beating forming rheological rule simulation
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Work Hardening Behavior of 1020 Steel During Cold-Beating Simulation 被引量:2
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作者 Fengkui CUI Yuanfei LING +3 位作者 Jinxue XUE Jia LIU Yuhui LIU Yan LI 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2017年第2期321-331,共11页
The present research of cold-beating formation mainly focused on roller design and manufacture, kinematics, constitutive relation, metal flow law, thermo-mechanical coupling, surface micro-topography and microstructur... The present research of cold-beating formation mainly focused on roller design and manufacture, kinematics, constitutive relation, metal flow law, thermo-mechanical coupling, surface micro-topography and microstructure evolution. However, the research on surface quality and performance of workpieces in the process of cold-beating is rare. Cold-beating simulation experiment of 1020 steel is conducted at room temperature and strain rates ranging from 2000 to 4000 s^-1 base on the law of plastic forming. According to the experimental data, the model of strain hardening of 1020 steel is established, Scanning Electron Microscopy(SEM) is conducted, the mechanism of the work hardening of 1020 steel is clarified by analyzing microstructure variation of 1020 steel. It is found that the strain rate hardening effect of 1020 steel is stronger than the softening effect induced by increasing temperatures, the process of simulation cold-beating cause the grain shape of 1020 steel significant change and microstructure elongate significantly to form a fibrous tis- sue parallel to the direction of deformation, the higher strain rate, the more obvious grain refinement and the more hardening effect. Additionally, the change law of the work hardening rate is investigated, the relationship between dislocation density and strain, the relationship between work hardening rate and dislocation density is obtained. Results show that the change trend of the work hardening rate of 1020 steel is divided into two stages, the work hardening rate decreases dramatically in the first stage and slowly decreases in the second stage, finally tending toward zero. Dislocation density increases with increasing strain and strain rate, work hardening rate decreases with increasing dislocation density. The research results provide the basis for solving the problem of improving the surface quality and performance of workpieces under cold-beating formation of 1020 steel. 展开更多
关键词 1020 steel Cold·beating Work hardening Grain Dislocation density
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An extraction method for pressure beat vibration characteristics of hydraulic drive system based on variational mode decomposition 被引量:2
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作者 QIAN Duo-zhou GU Li-chen +1 位作者 YANG Sha MA Zi-wen 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2020年第3期228-235,共8页
In the pump-controlled motor hydraulic transmission system,when the pressure pulsation frequencies seperately generated by the pump and the motor are close to each other,the hydraulic system will generate a strong pre... In the pump-controlled motor hydraulic transmission system,when the pressure pulsation frequencies seperately generated by the pump and the motor are close to each other,the hydraulic system will generate a strong pressure beat vibration phenomenon,which will seriously affect the smooth running of the hydraulic system.However,the modulated pressure signal also carries information related to the operating state of the hydraulic system,and a accurate extraction of pressure vibration characteristics is the key to obtain the operating state information of the hydraulic system.In order to extract the pressure beat vibration signal component effectively from the multi-component time-varying aliasing pressure signal and reconstruct the time domain characteristics,an extraction method of the pressure beat vibration characteristics of the hydraulic transmission system based on variational mode decomposition(VMD)is proposed.The experimental results show that the VMD method can accurately extract the pressure beat vibration characteristics from the high-pressure oil pressure signal of the hydraulic system,and the extraction effect is preferable to that of the traditional signal processing methods such as empirical mode decomposition(EMD). 展开更多
关键词 hydraulic drive system pressure beat vibration variational mode decomposition(VMD) characteristic extraction
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