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[core]
	editor = code --wait # set VS Code as default editor
	quotepath = false # display cyrillic names properly
	autocrlf = false # Windows only projects. Don't convert LF to CRLF and vice versa during commit & checkout. Read carefully https://git-scm.com/book/en/v2/Customizing-Git-Git-Configuration 
[pull]
	rebase = true # pull = 'fetch + rebase' instead of 'fetch + merge'
[alias]
	co = checkout # 'git co' instead of 'git checkout'
	st = status # 'git st' instead of 'git status'
[fetch]

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-- show running queries (pre 9.2)
SELECT procpid, age(query_start, clock_timestamp()), usename, current_query 
FROM pg_stat_activity 
WHERE current_query != '<IDLE>' AND current_query NOT ILIKE '%pg_stat_activity%' 
ORDER BY query_start desc;

-- show running queries (9.2)
SELECT pid, age(query_start, clock_timestamp()), usename, query 
FROM pg_stat_activity 
WHERE query != '<IDLE>' AND query NOT ILIKE '%pg_stat_activity%' 

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Default

Powerlevel9k

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Implementation Details

We'll be addressing certain implementation details here.

Pregnancy & Breastfeeding

To be able to detect whether a woman is pregnant, we would expect a [Condition][res-condition] resource with start date, end date and the Snomed-CT code for patient currently pregnant (77386006) or one if its many child codes. There is also a code for possible pregnancy (102874004) that we can consider using, if it makes sense from HCA's side.

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🔥FHIR DSTU-2 data representing sample patient 1's cancer diagnosis: IDC diagnosis with 3 tumor mutation tests, 2 of them positive.

FHIR Version

The current official FHIR version is DSTU-1. There is a new DSTU-2 ballot version for May 2015 that introduces some nice data model changes to be expected for DSTU-2. I propose using this ballot version for our pilot.

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#################################################################################  
##  
## PostgreSQL unattended install 
## Author: Stefan Prodan   
## Date : 16 Oct 2014  
## Company: VeriTech.io    
################################################################################

Function Install-Postgres
{

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1. General Background and Overview

• Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
• Models and Issues in Data Stream Systems
• Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
• Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
• [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep

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#
# Assumptions
#
# 1. If you have a Octopus release deployed, say 1.0.0.73, there is a git
#    tag set for that commit in GitHub that is "v1.0.0.73".
#
# 2. You have TeamCity label each successful build in GitHub with the format
#    "v{build number}. Sidenote: it appears that TeamCity only labels the
#    default branch, but not feature branches.
#

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  public static void InitNsbHost()
        {
            string[] assemblyScanerPattern = new[] {@"your.namespace.*.dll"};

            // Make sure process paths are sane...
            Directory.SetCurrentDirectory(AppDomain.CurrentDomain.BaseDirectory);

            //  begin setup of autofac >>
            ContainerBuilder builder = new ContainerBuilder();

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using System;
using System.Linq.Expressions;
using System.Reflection;
using WebApi.Delta;

namespace Hst.Deals.API.Infrastructure
{
    internal class CompiledPropertyAccessor<TEntityType> : PropertyAccessor<TEntityType> where TEntityType : class
    {
        private Action<TEntityType, object> _setter;