Abstract: The present disclosure discloses a method for predicting a channel based on an image processing and a machine learning, which belongs to the field of the channel prediction. The method introduces an image semantic segmentation technology to identify and segment a scatterer in a scenario image, extracts the effective position information of the scatterer, and identify a scenario in the segmented image. The subsequent feature extraction is performed in a similar scenario through the scenario identification, which facilitates extracting the more tiny environment features. The semantic segmentation images of the known scenarios are jointly input into a feature extraction and channel prediction network to complete the channel prediction.

Abstract: A novel scatterer density-based predictive channel modeling method includes: obtaining channel data with different scenarios scatterer densities through a channel measurement or a simulation; obtaining corresponding channel statistical characteristic parameters through a data preprocessing based on the channel data; constructing a graph dataset by taking scatterer density in different scenarios as main characteristics to enhance a space-time correlation of data; dividing the graph dataset according to a certain proportion, and then using a graph attention network and a gated recurrent unit network to extract correlated channel space-time characteristics and implementing a cross scenario channel prediction. The method can capture channel variations in different scenarios, and obtain channel characteristics under different scatterer densities through high space-time correlated channel characteristics, and has good performance in channel prediction based on scenario.

Abstract: A data processing system implements providing multiple targeted intranet sites and/or employee experiences within a tenant of a multitenant computing environment. The administrators of a tenant are provided with tools to create multiple separate instances of the intranet site and/or employee experiences. The individual instances of the intranet site and/or employee experiences are separate and utilize a layout and include components that are appropriate for the particular audience for which the instance of the intranet site or employee experience has been tailored. The administrator can define affinity information that indicates which users or groups of users should be directed to a particular intranet site and/or employee experience. The administrator can define an order in which the intranet sites and/or employee experiences are considered when determining which intranet site or employee experience to present to a user in response to a request to access the intranet site or the employee experience.

Abstract: The present disclosure relates to a combination of therapeutic agents for use in treating a patient a subject suffering from cancer. In addition, the present disclosure also relates to diagnostic assays useful in classification of patients for treatment with one or more therapeutic agents.

Abstract: The present disclosure relates to a combination of therapeutic agents for use in treating a patient a subject suffering from cancer. In addition, the present disclosure also relates to diagnostic assays useful in classification of patients for treatment with one or more therapeutic agents.

Abstract: Antisense compounds, compositions and methods are provided for modulating the expression of Histone deacetylase 4. The compositions comprise antisense compounds, particularly antisense oligonucleotides, targeted to nucleic acids encoding Histone deacetylase 4. Methods of using these compounds for modulation of Histone deacetylase 4 expression and for treatment of diseases associated with expression of Histone deacetylase 4 are provided.