artery | OMNeT++ V2X simulation framework for ETSI ITS-G5

https://docs.microsoft.com/en-us/azure/search/search-get-started-dotnet#2---load-documents

I was following this documentation to upload the documents to the index programmatically, however they hard code in each document like so:

I have strings from which I need to extract all matches from a vector using the rebus package.

When I get data from the very old software I use it looks as follows:S

I have a large dataset where every 5 columns corresponds to measurements of 1 artery, but only the first of the five columns is named. An example:

I have a akka cluster of microservices running on nodes. I'm trying to use the Jackson serializer for application specific messages exchanged between the nodes (microservices). My code is written in scala, not Java

I'm using scala 'case class' as akka messages exchanged between actors and each message (case class) have a val LOG:org.slf4j.Logger built in to log specific business logic processing information.

When I send messages between nodes I'm getting the exception

WARN akka.remote.artery.Deserializer - Failed to deserialize message from [akka://MyCluster@127.0.0.1:25251] with serializer id [33] and manifest [com...MyCaseClassMessage]. com.fasterxml.jackson.databind.exc.InvalidDefinitionException: Cannot construct instance of org.slf4j.Logger (no Creators, like default constructor, exist): abstract types either need to be mapped to concrete types, have custom deserializer, or contain additional type information at [Source: ..."[truncated 'n' bytes]; line: 'n', column: 'n'] (through reference chain: com...MyCaseClassMessage["LOG"])

My case class essentially is something like:

I am quite new to R. I have a hospital dataset where patients are assigned categories based on diagnosis. For example

• Patient# : Disease classification
• 1 : dis A/dis C
• 2 : dis B
• 3 : dis A/dis B/dis C

And so on with 8 diseases in total. The "/" here represents the presence of more than 1 disease. I want to categorize them numerically such that dis A=1, dis B=2 and so on. The above data needs to be:

• Patient#: Disease classification
• 1: 1/3
• 2: 2
• 3: 1/2/3

I have tried it with sapply, as a factor with levels but the best I can get is a correct classification with only single diseases. The combination diseases are returning a NULL value. Is there a way to do this? Please help!

Here is a sample:

Given the following appliction.conf :

Apologies for what may be a very basic question. I have written an R code that analyses the flow of coronary artery bypass grafts. I will have about 2000 unique measurements that need to be analysed. I am intending to save each measurement with a number to give 2000 individual CSV files (1:2000).

I am trying to automate this naming process rather than individually changing the file name. I am totally stuck on this and my attempts to extrapolate from previously asked questions about breaking up large data frames into multiple smaller, sequentially named .csv files have not gone anywhere.

e.g.

I am facing java.lang.NullPointerException, while updating Akka version from 2.6.9 to 2.6.10.

Here's the sample code in which I am facing this error:-

1. akka-sharding/src/main/resources/application.conf