Optimization for Raman Fiber Amplifiers Based on Least Squares Support Vector Regression Model

在现有拉曼光纤放大器优化设计中,对拉曼散射耦合模型的求解是制约各种优化算法求解效率的瓶颈。提出运用最小二乘支持向量回归机,建立多抽运拉曼光纤放大器的输入输出回归模型,并利用该模型直接替代对拉曼散射耦合模型的求解,实现了优化速率数量级的提升。采用该方法对C波段的多波长反向抽运拉曼光纤放大器进行了优化实验,仅使用2个抽运源就可以迅速得到增益波动小于±0.5 d b的优化设计,并且其平均开关增益可以直接使用该模型进行快速调节。实验结果表明,相比传统的打靶法和平均功率法,通过该拉曼光纤放大器回归模型可以直接得到输出增益,极大地提高了设计的时效性,具有一定的参考价值。Solving the coupled Raman amplification is the main limitation to the efficiency of the existing optimization method for Raman fiber amplifier design.The least squares support vector regression model is applied to address this issue.Instead of directly calculating the Raman coupled equation, a multi-input multi-output model for Raman fiber amplifier is established.A C-band Raman fiber amplifier with a gain ripple level of ± 0.5 d B is designed using only two pumps.Additionally, the on-off gain can be quickly and directly adjusted by the proposed model.Compared with the shooting algorithm and average power analysis technique, the results indicate that the proposed regression model greatly improves the solving efficiency.国家留学基金资

基于粒子群算法的多通道光纤布拉格光栅滤波器优化设计

在多通道光纤布拉格光栅(FBG)滤波器的设计中,通道数目的增加会导致最大折射率调制深度的成倍增长,从而造成物理上的不可实现。为此,提出一种基于粒子群算法(PSO)与直接设计方法相结合的多通道FBG滤波器设计方法。该方法以最小化最大折射率调制深度为优化目标,在目标反射谱中引入一组群时延参数,为每个通道分配合适的群时延参数,建立群时延参数的优化模型。通过粒子群算法计算得到各通道群时延参数的优化分配值,提升折射率调制深度的均匀化分布程度,促使最大折射率调制深度降低到物理可实现的范围内。仿真实验结果表明设计的40通道数、106通道数的两种FBG滤波器的反射谱均匀性好,最大折射率调制深度均降到0.001以下。国家青年科学基金(11201391);福建省自然科学基金(2013J01103

云计算ERP在现代组织中的应用研究

为了规范现代组织的管理流程和提高管理效率,ErP在现代组织中得到了广泛的应用与推广。随着云计算的飞速发展,现代组织已逐步将传统ErP和云计算相结合,提出了基于云计算的ErP解决方案。基于此,阐述了云计算ErP的概念和特征,深入探索了云计算ErP在现代组织中的应用和面临的挑战。厦门大学大学生创新创业基金(DC2013013)资

Study on the risk factors for intrauterine infection of hepatitis B virus among pregnant women

目的探讨厦门市孕妇乙型肝炎病毒(hepatitis B virus,HBV)感染情况和HBV宫内感染的影响因素。方法在1; 064名孕妇第一次到医院建立孕产妇保健卡时进行问卷调查并检测其血清乙肝标志物,根据检测结果选择外周血乙型肝炎表面抗原(hepatitis B; surface antigen,HBsAg)阳性的产妇179例随访至其分娩,并采集其分娩时的脐血和胎盘组织。对脐血进行HBsAg和HBV; DNA的检测,对胎盘组织进行HBsAg的检测。采用chi~2检验和非条件Logistic回归分析相关因素与HBV宫内感染的关系。结果被调查的1; 064名孕妇中,HBsAg阳性的孕妇共179名,感染率为16.8%。对179名HBsAg阳性的孕妇的脐血进行检测发现,发生HBV宫内感染的孕妇共; 34名,感染率为19.0%。孕妇HBV宫内感染的危险因素为胎盘HBsAg阳性、孕妇血清乙型肝炎E抗原(hepatitis B e; antigen,HBeAg)阳性、孕前超重,OR分别为5.123(95% CI:1.422 ~ 18.413)、4.619(95%; CI:1.225 ~ 17.534)、 3.343(95% CI:1.233 ~; 9.092)。结论对于HBsAg和HBeAg双阳性的超重/肥胖孕妇,其新生儿可能发生HBV宫内感染,应加强自身防护措施,合理规避HBV宫内感染风; 险。Objective To investigate the prevalence of hepatitis B virus (HBV); infection in pregnant women and the risk factors for Intrauterine; infection of HBV among pregnant women in Xiamen. Methods Total 1 064; pregnant women were included in this study. A questionnaire was; performed to collect the general information of the subjects and HBV; infection status was tested on the first day when they came to the; hospital. Then HBsAg positive pregnant women were selected and followed; until delivery. We collected their cord blood and placenta tissue when; they delivery. HBsAg and HBV DNA in cord blood and HBsAg in placental; tissue were detected. Chi-square test and the non-conditional Logistic; regression analysis were conducted to investigate the correlation; between HBV intrauterine infection and risk factors. Results 179 out of; the 1 064 pregnant women were HBsAg positive. The infection rate was; 16.8%. 34 out of 179 HBsAg positive pregnant women were found; intrauterine transmission with a rate of 19.0%. The risk factors for the; occurrence of HBV intrauterine transmission were placenta HBsAg positive; (OR = 5.123, 95% CI:1.422-18.413),mothers with hepatitis B e; antigen(HBeAg) positive (OR = 4.619, 95% CI:1.225-17.534) and; overweight(OR = 3.343, 95% CI:1.233-9.092), respectively. Conclusions; Placenta HBsAg positive,mothers with HBeAg positive and overweight are; independent risk factors for the occurrence of HBV intrauterine; transmission.国家自然科学基金; 厦门市科技计划项

厦门市某医院体检人群中有机氯农药暴露与胆石症发病的关联性研究

目的探讨厦门市第二医院体检人群中有机氯农药暴露与胆结石发生的关联及其发病危险因素。方法收集2015年2月-8月在医院健康体检人群中经B超确诊的新发胆囊结石患者100例,以同期参加体检的非胆囊结石者为对照,进行1∶2配比的病例对照研究。进行流行病学调查,采用气相色谱联用电子捕获器检测研究对象外周血中有机氯农药水平。应用多因素条件Logistic回归模型分析有机氯农药与胆囊结石发病的关系。结果病例组血清中α-HCH残留水平高于对照组,差异有统计学意义;Logistic回归分析非酒精性脂肪肝、2型糖尿病、血清α-HCH含量增高可能增加胆结石的患病危险,OR值及95%CI分别为5.134(1.952~13.502)、4.754(1.849~12.220)和1.357(1.094~1.854)。结论环境有机氯农药暴露可能是胆囊结石病发生的危险因素。厦门市科技计划项目(3502Z20163006)；厦门市集美区科技计划项目(20142C01)；厦门大学校长基金(20720152012)

HBV infection-induced liver cirrhosis development in dual-humanized mice with human bone mesenchymal stem cell transplantation

疾病动物模型是现代医学发展的基石，尤其是重大、突发传染病暴发时，适宜的疾病动物模型可为及时发现病原体、制定防控策略提供强大保障，原创的疾病动物模型已成为衡量一个国家生物医药科研水平的标志。我校夏宁邵教授团队和浙江大学附属第一医院李君教授团队历经5年的协同攻关，终于建立了国际上首个高度模拟人类乙肝病毒（HBV）自然感染诱发的慢乙肝肝硬化小鼠模型。厦门大学公共卫生学院袁伦志博士生、浙江大学医学院附属第一医院江静博士和厦门大学公共卫生学院刘旋博士生为该论文共同第一作者。厦门大学夏宁邵教授、浙江大学附属第一医院李君教授和厦门大学程通副教授为该论文共同通讯作者。【Abstract】Objective： Developing a small animal model that accurately delineates the natural history of hepatitis B virus (HBV) infection and immunopathophysiology is necessary to clarify the mechanisms of host-virus interactions and to identify intervention strategies for HBV-related liver diseases. This study aimed to develop an HBV-induced chronic hepatitis and cirrhosis mouse model through transplantation of human bone marrow mesenchymal stem cells (hBMSCs). Design： Transplantation of hBMSCs into Fah -/- Rag2 -/- IL-2Rγc -/- SCID (FRGS) mice with fulminant hepatic failure (FHF) induced by hamster-anti-mouse CD95 antibody JO2 generated a liver and immune cell dual-humanized (hBMSC-FRGS) mouse. The generated hBMSC-FRGS mice were subjected to assessments of sustained viremia, specific immune and inflammatory responses and liver pathophysiological injury to characterize the progression of chronic hepatitis and cirrhosis after HBV infection. Results： The implantation of hBMSCs rescued FHF mice, as demonstrated by robust proliferation and transdifferentiation of functional human hepatocytes and multiple immune cell lineages, including B cells, T cells, NK cells, dendritic cells (DCs) and immune cell lineages, including B cells, T cells, NK cells, dendritic cells (DCs) and viremia and specific immune and inflammatory responses and showed progression to chronic hepatitis and liver cirrhosis at a frequency of 55% after 54 weeks. Conclusion： This new humanized mouse model recapitulates the liver cirrhosis induced by human HBV infection, thus providing research opportunities for understanding viral immune pathophysiology and testing antiviral therapies in vivo.this work was supported by the national Science and technology Major Project (grant nos. 2017ZX10304402, 2017ZX10203201 and 2018ZX09711003-005-003), the national natural Science Foundation of china(grant nos. 81672023, 81571818 and 81771996), the Scientific research Foundation of the State Key laboratory of Molecular Vaccinology and Molecular Diagnostics (grant no 2016ZY005), Zhejiang Province and State's Key Project of the research and Development Plan of china (grant nos 2017c01026 and 2016YFc1101304/3).该研究获得了传染病防治国家科技重大专项、新药创制国家科技重大专项和国家自然科学基金的资助

聚合物调控制备氧化钛层柱蒙脱石光催化材料及结构表征

为了改善氧化钛层柱蒙脱石的结构性能,本研究以长链聚合物-端氨基聚甲基环氧乙烷(PPO-D-2000)为结构调节剂,调控合成了聚合物-氧化钛层柱蒙脱石材料。采用X射线粉末衍射(XRD)﹑红外(FT-IR)﹑拉曼光谱(FT-Raman)﹑TG/DSC﹑TEM和BET等手段进行了结构表征。研究结果表明,相比于小分子量表面活性剂而言,长链聚合物不仅能显著提高氧化钛层柱蒙脱石中的二氧化钛含量,而且比表面积相比单独氧化钛柱撑蒙脱石增加了约13%,达到241.52m2/g,尤其是孔径、孔体积等孔道结构参数增加一倍左右。因此,聚合物在优化无机层柱粘土材料结构,改善吸附和催化性能具有良好的调控作用,为发展环境催..

Wavelength assignment of FBG sensor network based on Pareto multi-objective optimization

针对现有波分复用(WdM)的光纤brAgg光栅(fbg)传感网络的复用瓶颈,运用PArETO多目标优化理论,建立了基于带宽重叠技术的fbg传感网络优化模型。通过非支配排序遗传算法Ⅱ(nSgA-Ⅱ)进化算法求解PArETO最优曲线,为网络中的每个fbg传感器合理地分配brAgg波长的工作范围,以最小的光谱重叠程度换取光源带宽资源的最大节约。仿真和实验结果表明,得到PArETO最优曲线为不同程度的光谱重叠找到了最优的brAgg波长配置方案,有效地提高了fbg传感网络的WdM能力。There is a bottleneck in the wavelength division multiplexed(WDM) fiber Bragg grating(FBG) sensor network.The conventional WDM technique requires that each FBG sensor in the array must occupy a unique spectral region.It seriously limits the maximum number or the measurement range of sensors in the network.In order to improve the performance of a WDM FBG sensor network,the Pareto-based multi-objective optimization technology is introduced to design an optimal wavelength assignment in this paper.The two objectives are used to minimize the spectrum overlapping area and the bandwidth of the optical source.In this multi-objective model,there are a set of acceptable trade-off optimal soulutions,called Pareto front.The non-dominated sorting genetic algorithm II(NSGA-II),which is one of the most efficient and famous multi-objective evolutionary algorithms,is applied for obtaining the Pareto front.The achieved Pareto front can help the decision maker to select a suitable solution.Simulation reslts show that the Pareto optimzal solutions provide good wavelength assignments for various ovelapping spectra and the proposed approach is effective in saving the source bandwidth and increasing the number of FBG sensors in the WDM FBG sensor network.国家青年科学基金(11201391)资助项