communication com.azure.resourcemanager.communication.fluent com.azure.resourcemanager.communication.models com.azure.resourcemanager.communication.fluent.models com.azure.resourcemanager.compute com.azure.resourcemanager.compute.fluent com.azure.resourcemanager.compute.fluent.models com.azure.resourcemanager.compute....
In the presence of error propagation, the error performance is mostly dominated by the weakest stream. The diversity order achieved by non ordered SIC is approximately nr-nt+1, whereas ordered SIC improves the performance by reducing the error propagation caused by the first decoded stream. ...
Our first interest is in the per node capacity, the maximum rate at which the n node pairs can exchange information. Since all flows will reach the destinations over multiple hops in the network, it is important to capture the spatial distance covered by the flows in the definition of ...
Daily experience suggests that we perceive distances near us linearly. However, the actual geometry of spatial representation in the brain is unknown. Here we report that neurons in the CA1 region of rat hippocampus that mediate spatial perception repres
The spatial correlation pattern of economic resilience is an important proposition for China’s sustainable economic development. This paper measures the economic resilience of 31 provinces in China from 2012 to 2020, and explores the spatial correlation
string (in stringTable in resources in commentDefinitionResources) (Windows) CObjectPathParser::Free methods (Windows) MSMQQueue.PeekPreviousByLookupId Multiple-Element Format Names TableCellCollection.System.Collections.Generic.IEnumerable<System.Windows.Documents.TableCell>.GetEnumerator Method (System.Window...
In the interest of getting this shape into SQL Server, the shape is first decomposed into vertices, which are then converted into a polygon WKT (text) definition. This will then be written to SQL Server. To pass the point and polygon back into SQL Se...
[44] described the improved version of Slide-seq, termed Slide-seqV2, which advanced approximately an order of magnitude in RNA capturing efficiency and sensitivity than the original Slide-seq. Not long after the publication of Slide-seq, a high-resolution spatial technology named high-definition ...
Recently, two powerful methods were developed for measuring spatial information with single-cell resolution, Slide-Seq40and High-definition spatial transcriptomics (HDST41). Similarly to ClumpSeq, both methods need to be integrated with scRNAseq datasets in order to properly analyse the rare cells of...
2d) could be identified by performing domain segmentation downstream of cell–cell communication inference. However, current approaches for identifying spatial regions primarily center on the first definition, identifying spatially nearby groups of cells with maximal similarity in gene expression. Fig. 2:...