We feature the stationary solutions of the 3D complex cubic-quintic Ginzburg-Landau equation (CGLE). Our approach is based on collective variables approach which helps to obtain a system of variational equations, givi...We feature the stationary solutions of the 3D complex cubic-quintic Ginzburg-Landau equation (CGLE). Our approach is based on collective variables approach which helps to obtain a system of variational equations, giving the evolution of the light pulses parameters as a function of the propagation distance. The collective variables approach permits us to obtain, efficiently, a global mapping of the 3D stationary dissipative solitons. In addition it allows describing the influence of the parameters of the equation on the various physical parameters of the pulse and their dynamics. Thus it helps to show the impact of dispersion and nonlinear gain on the stationary dynamic.展开更多
复杂疾病一般由多个基因共同作用发生,单个基因的效应微小,为了更好地研究基因互作对复杂疾病的影响,提出了一种基于基因的信息增益模型。信息增益在分类系统中指变量为分类带来信息的多少,带来的信息越多,该变量对分类越重要。该模型...复杂疾病一般由多个基因共同作用发生,单个基因的效应微小,为了更好地研究基因互作对复杂疾病的影响,提出了一种基于基因的信息增益模型。信息增益在分类系统中指变量为分类带来信息的多少,带来的信息越多,该变量对分类越重要。该模型从一个整体基因的所有单核苷酸多态性位点(single nucleotide polymorphism,SNP)出发,采用病例-对照数据来检测基因互作对疾病的影响。由于基因是功能表达的最小单位,与基于SNP的交互作用分析方法相比,该模型更能从生物学的角度解释疾病的遗传机制。最后,采用模拟数据和类风湿性关节炎疾病的真实数据进行实验,并与基于SNP的熵模型以及基于基因的核典型相关分析模型(kernel canonical corelation based U statistic,KCCU)两种模型比较,结果均验证了该模型的有效性。展开更多
文摘We feature the stationary solutions of the 3D complex cubic-quintic Ginzburg-Landau equation (CGLE). Our approach is based on collective variables approach which helps to obtain a system of variational equations, giving the evolution of the light pulses parameters as a function of the propagation distance. The collective variables approach permits us to obtain, efficiently, a global mapping of the 3D stationary dissipative solitons. In addition it allows describing the influence of the parameters of the equation on the various physical parameters of the pulse and their dynamics. Thus it helps to show the impact of dispersion and nonlinear gain on the stationary dynamic.
文摘复杂疾病一般由多个基因共同作用发生,单个基因的效应微小,为了更好地研究基因互作对复杂疾病的影响,提出了一种基于基因的信息增益模型。信息增益在分类系统中指变量为分类带来信息的多少,带来的信息越多,该变量对分类越重要。该模型从一个整体基因的所有单核苷酸多态性位点(single nucleotide polymorphism,SNP)出发,采用病例-对照数据来检测基因互作对疾病的影响。由于基因是功能表达的最小单位,与基于SNP的交互作用分析方法相比,该模型更能从生物学的角度解释疾病的遗传机制。最后,采用模拟数据和类风湿性关节炎疾病的真实数据进行实验,并与基于SNP的熵模型以及基于基因的核典型相关分析模型(kernel canonical corelation based U statistic,KCCU)两种模型比较,结果均验证了该模型的有效性。
