The counter continually increases and queries from a grafana dashboard do not reflect the actual number of requests made in a given period. Here is the code where I configure the metrics collection. I ...

Abstract: R-convolution graph kernels are conventional methods for graph classification. They decompose graphs into substructures and aggregate all the substructure similarity as graph similarity.

Another fiscal year and another bold prediction that Tesla’s long-running reign as the global market share leader will end. As previously predicted, BYD is once again expected to usurp Tesla in total ...

The basic concepts underpinning time-domain reflectometry. Difference between frequency- and time-domain analysis. Some applications of TDR measurements. Time-domain reflectometry (TDR) is a technique ...

感谢您的出色工作，我对您提出的Dynamic-range Histogram Self-Attention十分感兴趣，将在最近的工作中进行引用您的这项工作。 根据您提供的代码，及论文中的描述：To extract both global and local information, we define two types of reshaping, i.e., bin-wise histogram ...

a) and b) Schematic of nanopipette delivered triggering of TLR4 and Myddosome formation with LPS or Aβ aggregates. The LPS is delivered by nanopipette to the macrophage surface. When LPS binds to TLR4 ...

All complex and intricate assemblies include components with natural frequencies that are critical because they exist in the generalized 8 to 200 Hz environmental spectrum. This can be demonstrated by ...

You know what’s really awesome? Watching founders pitch on the TechCrunch Disrupt stage as part of Startup Battlefield 200. The pitches are world class, and the founders do such a good job, even as ...

Frequency is a fundamental concept in statistics that refers to the number of times an event or value occurs within a given dataset. In statistical analysis, understanding the frequency distribution ...

Cumulative frequency is an important concept in statistics, especially when it comes to analyzing large datasets. It is a running total of the frequencies in a frequency distribution table. In this ...