The paper mainly studies the influences of trust transfer on the establishment of consumers’ initial trust. Based on the theory of signal transmission and self-efficiency, the study builds a trust transfer model aimi...The paper mainly studies the influences of trust transfer on the establishment of consumers’ initial trust. Based on the theory of signal transmission and self-efficiency, the study builds a trust transfer model aiming at the same subject between different environments. The results shows that when the consumers’ perceived change of environment is little, prior successful experiences will improve the consumers’ perceptions of self-ability, which probably lowers the effect of bank’s role on the establishment of initial trust. Therefore, banks should cultivate consumers’ perceptions of their relative advantages in the original environment and thus improve the consumers’ dependency in the new environment to avoid the loss of consumers and build a long-term relationship.展开更多
LHP1 mediates recruitment of the PRC2 histone methyltransferase complex to chromatin and thereby facilitates maintenance of H3K27me3 on FLC, a key flowering repressor gene. Here, we report that the PWWP domain protei...LHP1 mediates recruitment of the PRC2 histone methyltransferase complex to chromatin and thereby facilitates maintenance of H3K27me3 on FLC, a key flowering repressor gene. Here, we report that the PWWP domain proteins （PDPs） interact with FVE and MSI5 to suppress FLC expression and thereby promote flowering. We demonstrated that FVE, MSI5, and PDP3 were co-purified with LHP1. The H3K27me3 level on FLC was decreased in the pdp mutants as welt as in the fve/ msi5 double mutant. This study suggests that PDPs function together with FVE and MSI5 to regulate the function of the PRC2 complex on FLC.展开更多
In this paper,we propose an Unsupervised Nonlinear Adaptive Manifold Learning method(UNAML)that considers both global and local information.In this approach,we apply unlabeled training samples to study nonlinear manif...In this paper,we propose an Unsupervised Nonlinear Adaptive Manifold Learning method(UNAML)that considers both global and local information.In this approach,we apply unlabeled training samples to study nonlinear manifold features,while considering global pairwise distances and maintaining local topology structure.Our method aims at minimizing global pairwise data distance errors as well as local structural errors.In order to enable our UNAML to be more efficient and to extract manifold features from the external source of new data,we add a feature approximate error that can be used to learn a linear extractor.Also,we add a feature approximate error that can be used to learn a linear extractor.In addition,we use a method of adaptive neighbor selection to calculate local structural errors.This paper uses the kernel matrix method to optimize the original algorithm.Our algorithm proves to be more effective when compared with the experimental results of other feature extraction methods on real face-data sets and object data sets.展开更多
文摘The paper mainly studies the influences of trust transfer on the establishment of consumers’ initial trust. Based on the theory of signal transmission and self-efficiency, the study builds a trust transfer model aiming at the same subject between different environments. The results shows that when the consumers’ perceived change of environment is little, prior successful experiences will improve the consumers’ perceptions of self-ability, which probably lowers the effect of bank’s role on the establishment of initial trust. Therefore, banks should cultivate consumers’ perceptions of their relative advantages in the original environment and thus improve the consumers’ dependency in the new environment to avoid the loss of consumers and build a long-term relationship.
基金supported by the National Key Research and Development Program of China (2016YFA0500801)the 973 Program (2011CB812600) from the Chinese Ministry of Science and Technology (to X.J.H.)the National Natural Science Foundation of China (31370317 and 31571584 to B.W.)
文摘LHP1 mediates recruitment of the PRC2 histone methyltransferase complex to chromatin and thereby facilitates maintenance of H3K27me3 on FLC, a key flowering repressor gene. Here, we report that the PWWP domain proteins （PDPs） interact with FVE and MSI5 to suppress FLC expression and thereby promote flowering. We demonstrated that FVE, MSI5, and PDP3 were co-purified with LHP1. The H3K27me3 level on FLC was decreased in the pdp mutants as welt as in the fve/ msi5 double mutant. This study suggests that PDPs function together with FVE and MSI5 to regulate the function of the PRC2 complex on FLC.
基金supported in part by the National Natural Science Foundation of China(Nos.61373093,61402310,61672364,and 61672365)the National Key Research and Development Program of China(No.2018YFA0701701)。
文摘In this paper,we propose an Unsupervised Nonlinear Adaptive Manifold Learning method(UNAML)that considers both global and local information.In this approach,we apply unlabeled training samples to study nonlinear manifold features,while considering global pairwise distances and maintaining local topology structure.Our method aims at minimizing global pairwise data distance errors as well as local structural errors.In order to enable our UNAML to be more efficient and to extract manifold features from the external source of new data,we add a feature approximate error that can be used to learn a linear extractor.Also,we add a feature approximate error that can be used to learn a linear extractor.In addition,we use a method of adaptive neighbor selection to calculate local structural errors.This paper uses the kernel matrix method to optimize the original algorithm.Our algorithm proves to be more effective when compared with the experimental results of other feature extraction methods on real face-data sets and object data sets.
