Neural stem cell is presently the research hotspot in neuroscience. Recent progress indicates that epigenetic modulation is closely related to the self-renewal and differentiation of neural stem cell. Epigenetics refe...Neural stem cell is presently the research hotspot in neuroscience. Recent progress indicates that epigenetic modulation is closely related to the self-renewal and differentiation of neural stem cell. Epigenetics refer to the study of mitotical/meiotical heritage changes in gene function that cannot be explained by changes in the DNA sequence. Major epigenetic mechanisms include DNA methylation, histone modification, chromatin remodeling, genomic imprinting, and non-coding RNA. In this review, we focus on the new insights into the epigenetic mechanism for neural stem cells fate.展开更多
By introducing the entangled state representation and the two-mode Fresnel operator we provide quantum mechanical version for Bessel beam＇s classical propagation in ABCD optical system. This provides the opportunity ...By introducing the entangled state representation and the two-mode Fresnel operator we provide quantum mechanical version for Bessel beam＇s classical propagation in ABCD optical system. This provides the opportunity of studying various classical Fresnel transformations in the context of quantum optics.展开更多
Function simulation,which is called virtual reality too,is popularly applied to solve uncertain problems.Good performance of hidden layers and perfect capability of function simulation make artificial neural networks ...Function simulation,which is called virtual reality too,is popularly applied to solve uncertain problems.Good performance of hidden layers and perfect capability of function simulation make artificial neural networks one of the best choices to simulate functions with form unknown.Inputs and outputs were used to train the structure of the ar- tificial neural network to make the outputs of network vary with the given inputs and keep consistent with the original data within tolerance.However,we couldn't get expected re- sults by using samples of a simple two-variable-model for the cause of dimensional differ- ence.The way of artificial neural networks to fit functions,which uses 'multi-dimensional surface' of high dimension to fit 'multi-dimensional line' of low dimension,was proved;the conclusion that good effects of fitting don't mean good function modeling when a dimen- sional difference exists was provided,and a suggestion of 'surface collecting' in practical engineering application was proposed when collecting useful data.展开更多
文摘Neural stem cell is presently the research hotspot in neuroscience. Recent progress indicates that epigenetic modulation is closely related to the self-renewal and differentiation of neural stem cell. Epigenetics refer to the study of mitotical/meiotical heritage changes in gene function that cannot be explained by changes in the DNA sequence. Major epigenetic mechanisms include DNA methylation, histone modification, chromatin remodeling, genomic imprinting, and non-coding RNA. In this review, we focus on the new insights into the epigenetic mechanism for neural stem cells fate.
基金Supported by the National Natural Science Foundation of China under Grant Nos. 10775097 and 10874174
文摘By introducing the entangled state representation and the two-mode Fresnel operator we provide quantum mechanical version for Bessel beam＇s classical propagation in ABCD optical system. This provides the opportunity of studying various classical Fresnel transformations in the context of quantum optics.
文摘Function simulation,which is called virtual reality too,is popularly applied to solve uncertain problems.Good performance of hidden layers and perfect capability of function simulation make artificial neural networks one of the best choices to simulate functions with form unknown.Inputs and outputs were used to train the structure of the ar- tificial neural network to make the outputs of network vary with the given inputs and keep consistent with the original data within tolerance.However,we couldn't get expected re- sults by using samples of a simple two-variable-model for the cause of dimensional differ- ence.The way of artificial neural networks to fit functions,which uses 'multi-dimensional surface' of high dimension to fit 'multi-dimensional line' of low dimension,was proved;the conclusion that good effects of fitting don't mean good function modeling when a dimen- sional difference exists was provided,and a suggestion of 'surface collecting' in practical engineering application was proposed when collecting useful data.
