最大后验贝叶斯估算法制定华法林个体化给药案例探讨

目的:探讨临床药师在华法林个体化给药方案制定及实施监护过程中发挥的作用。方法:临床药师采用最大后验贝叶斯估算法制定华法林患者的给药方案,并对方案实施过程进行了监护,及时识别了药物相互作用导致的INR升高,避免了出血不良反应的发生,同时也及时发现了患者漏服药物导致的国际标准化比值(INR)降低,避免了患者再次发生血栓。结果:最大后验贝叶斯估算法可以较好地估算和指导临床用药,对于个体化给药方案具有极大的参考价值。结论:根据基因检测结果选择合适的算法为华法林患者制定了个体化给药方案后,临床药师还需要对整个给药方案实施过程提供全程化的监护,以便及时发现疾病、药物相互作用、依从性不佳等导致的INR异常波动,从而提供抗凝效果,减少出血和栓塞等不良反应。福建省科技计划引导性项目(编号:2015Y0020

链传动运动特性实验台研制及实验研究

阐述了链传动实验台的总体方案设计以及测控系统设计,研制了链传动实验台。并在此实验台上做了大量实验测试,采集了速度波动曲线且加以深入研究分析。结果表明采集的链传动速度波动曲线以及不均匀性系数曲线符合理论计算的变化规律,验证了该实验台具有高精度及高可靠性。而且链传动运动特性的实验分析结果对工程实际应用有一定的指导意义

GFP报告因子结合流式细胞术的蛋白-蛋白相互作用单细菌水平分析

在基于腺苷酸环化酶功能重构的细菌双杂交(BACTH)系统中引入lac启动子控制的gfp基因作为蛋白质相互作用的报告基因,采用实验室自行研制的超高灵敏流式检测装置(HSFCM)建立了一种单细菌水平的、简单、快速、高通量的蛋白-蛋白相互作用分析方法.将分别携带有相互作用蛋白对编码基因和gfp报告基因的质粒共转化至报告菌株,利用HSFCM对单个细菌的散射光和荧光同时进行检测.结果表明蛋白-蛋白相互作用激活了gfp报告基因的表达,并存在双稳态现象:即一部分细菌的gfp报告基因被激活,细菌荧光信号强度明显高于阴性对照组,而另一部分细菌的gfp报告基因未被激活,细菌荧光信号分布与阴性对照组重叠.利用HSFCM在单细菌水平对荧光信号强度和表达GFP报告因子的细菌比例进行分析,能有效地区分表达GFP报告因子的阳性菌和报告基因未被激活表达的阴性菌,揭示了细菌个体蛋白的异质性表达.这将为相互作用蛋白对的检测及筛选提供一种快速的分析方法.国家自然科学基金(21472158,21105082,21225523,21475112,216278111

Effective Dysphonia Detection Using Feature Dimension Reduction and Kernel Density Estimation for Patients with Parkinson's Disease

National Natural Science Foundation of China [81101115, 31200769, 81272168]; Natural Science Foundation of Fujian [2011J01371]; Fundamental Research Funds for the Central Universities of China [2010121061]; Program for New Century Excellent Talents in Fujian Province University; Natural Sciences and Engineering Research Council of Canada (NSERC); Canada Research Chairs ProgramDetection of dysphonia is useful for monitoring the progression of phonatory impairment for patients with Parkinson's disease (PD), and also helps assess the disease severity. This paper describes the statistical pattern analysis methods to study different vocal measurements of sustained phonations. The feature dimension reduction procedure was implemented by using the sequential forward selection (SFS) and kernel principal component analysis (KPCA) methods. Four selected vocal measures were projected by the KPCA onto the bivariate feature space, in which the class-conditional feature densities can be approximated with the nonparametric kernel density estimation technique. In the vocal pattern classification experiments, Fisher's linear discriminant analysis (FLDA) was applied to perform the linear classification of voice records for healthy control subjects and PD patients, and the maximum a posteriori (MAP) decision rule and support vector machine (SVM) with radial basis function kernels were employed for the nonlinear classification tasks. Based on the KPCA-mapped feature densities, the MAP classifier successfully distinguished 91.8% voice records, with a sensitivity rate of 0.986, a specificity rate of 0.708, and an area value of 0.94 under the receiver operating characteristic (ROC) curve. The diagnostic performance provided by the MAP classifier was superior to those of the FLDA and SVM classifiers. In addition, the classification results indicated that gender is insensitive to dysphonia detection, and the sustained phonations of PD patients with minimal functional disability are more difficult to be correctly identified

福建省工程图学学科发展研究报告

总结了福建省工程图学学科的科技研究与应用、现代图学科技普及与技能培训、图学教育改革和人才培养的发展现状与存在的问题,指明了所面临的机遇和挑战,提出了我省工程图学学科今后一段时间的主要发展目标、海西建设的重点发展领域和具体对策

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel