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Set Exchange Server properties

Guided by principles in GDPR you may wish to delete mail older than 3 months from your inbox. This should be a principle for all office workers in both private and public organizations: Mail and electronic content not journalised should be deleted within 3 months.

Outlook: Choose 'Account Settings' in File window. Under 'Mail' highlight account and choose 'Edit'. Set time period for storage on Exchange server to 3 months. Repeat as necessary for all accounts. Under each account in Mail window: Right click inbox and chose 'Properties' and click the option to delete all offline content. Repeat as necessary for sent mail and other accounts.


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HackRF on Windows 8

This technical note is based on an extract from thread. I have made several changes and added recommendations. I have experienced lot of latency using GnuRadio and HackRF on Pentoo Linux, so I wanted to try out GnuRadio on Windows.

HackRF One is a transceiver, so besides SDR capabilities, it can also transmit signals, inkluding sweeping a given range, uniform and Gaussian signals. Pentoo Linux provides the most direct access to HackRF and toolboxes. Install Pentoo Linux on a separate drive, then you can use osmocom_siggen from a terminal to transmit signals such as near-field GSM bursts, which will only be detectable within a meter.

Installation of MGWin and cmake: Download and install the following packages:
- MinGW Setup (Go to the Installer directory and download setup file)
- CMake (I am using CMake 3.2.2 and I installed it in C:\CMake, this path is important in the commands we must send in the MinGW shell)
Download and extract the packages respectively in the path C:\MinGW\msys\…

Example: Beeswarm plot in R


data <- read.dta("C:/Users/hellmund/Documents/MyStataDataFile.dta")





png(file="C:/Users/hellmund/Documents/il6.png", bg="transparent")

beeswarm(data$il6~data$group,data=data, method=c("swarm"),pch=16,pwcol=data$Gender,xlab='',ylab='il6',ylim=c(0,20))


boxplot(data$il6~data$group, data=data, add = T, names = c("","",""), col="#0000ff22")

Alder/korrekt århundrede udfra cpr nummer

De fleste, der arbejder med registre eller databaser, står ofte med problemstillingen, at alder er uoplyst, medens cpr-nummer er kendt. Hvordan regner man den ud?

Følgende regel er gældende: Hvis syvende ciffer er 0, 1, 2 eller 3 er man født i det 20. århunderede (1900-tallet) Ligeledes, hvis syvende ciffer er 4 eller 9, og årstallet (femte og sjette ciffer) er større end eller lig 37.

Endelig er man født i det 19. århundrede (1800-tallet) hvis syvende ciffer er 5, 6, 7 eller 8 og årstallet er større end eller lig 58.

Nedenfor finder du eksempel i SAS kode: En lille makro, der udover fødselsdato også udregner køn samt den præcise alder givet datovariabel.

Kilde: Opbygning af CPR nummeret,

proc format library=work;
value gender

%macro agefromCPR(cpr,datevar=inddto,birthvar=birth,agevar=age);