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Type 1 Type 2
The diaTribe Foundation

By Emma Ryan

The diaTribe Foundation’s fourth annual “Solvable Problems in Diabetes” event brought together international medical leaders to discuss the most promising developments and advances in diabetes treatment. The event was held at the 2017 European Association for the Study of Diabetes (EASD) meeting in Lisbon, Portugal. We hosted 150 doctors, researchers, advocates, and other guests, who heard from an all-star expert panel:

Panelists called for more focus on behavior and support for people with diabetes. Dr. Drucker advocated for better design to make drugs and devices more convenient and satisfying for users, while Prof. Matthews highlighted technologies like Fitbit as useful tools to promote activity. Prof. Davies also noted that we need to be putting as much effort toward helping people with diabetes develop self-compassion as we are putting into developing drugs and technology.

The experts firmly endorsed more decision-making support for people with diabetes and healthcare providers as a future direction for the field. Professor Davies noted that it needs to be easier for people to access teams of medical professionals that include doctors, nurses, dieticians and psychologists. Connecting this conversation to the research side of things, Dr. Drucker added that scientists need to align more with primary care physicians, who tend to focus on bigger picture issues like the safety and cost burden of new drugs.

Finally, the panelists talked about the role that artificial intelligence might play in the future of diabetes. Dr. Drucker predicted that new algorithms might take over the endocrinologist’s role of managing glucose fluctuations, and Kelly Close chimed in that this could be a major way of making both healthcare providers and people with diabetes feel more successful. Instead of spending the majority of an appointment adjusting dosing, healthcare providers could spend more of their time considering other factors like YFF Girls Children/Child/Kids Ballroom Tango Salsa Latin Dance Shoes Low Heel ShoesBrown10 LQxiKOVDK

Below are some favorite quotable quotes from the evening:

Professor Melanie Davies – Professor of Diabetes Medicine, University of Leicester

Arrow provides a extensions DSL making available in the scoped block all the functions and extensions defined in all instances for that datatype. Use the infix function extensions on an object, or function, with the name of the datatype prefixed by For-.

If you defined your own instances over your own data types and wish to use a similar extensions DSL you can do so for both types with a single type argument such as Option :

Or for types that require partial application of some of their type arguments such as Either<L, R> where L needs to be partially applied

NOTE: This approach to type constructors will be simplified if Jesse James Boots Brown hLPZhLY
is approved. Go vote!

A type constructor is any class or interface that has at least one generic parameter. For example, ListK<A> or Minitoo Womens Kitten Heel Lace Flower Studded Satin Bridal Wedding Pumps White5cm Heel b5JguzEzjp
. They’re called constructors because they’re similar to a factory function where the parameter is A , except type constructors work only for types. So, we could say that after applying the parameter Int to the type constructor ListK<A> it returns a ListK<Int> . As ListK<Int> isn’t parametrized in any generic value it is not considered a type constructor anymore, just a regular type.

Like functions, a type constructor with several parameters like Either<L, R> can be partially applied for one of them to return another type constructor with one fewer parameter. For example, applying Throwable to the left side yields Either<Throwable, A> , or applying String to the right side results in Either<E, String> .

Type constructors are useful when matched with typeclasses because they help us represent instances of parametrized classes — the containers — that work for all generic parameters — the content. As type constructors is not a first class feature in Kotlin, Λrrow uses an interface Kind<F, A> to represent them. Kind stands for Higher Kind, which is the name of the language feature that allows working directly with type constructors.

In a Higher Kind with the shape Kind<F, A> , if A is the type of the content then F has to be the type of the container.

A malformed Higher Kind would use the whole type constructor to define the container, duplicating the type of the content Kind<Option<A>, A> . This incorrect representation has large a number of issues when working with partially applied types and nested types.

What Λrrow does instead is define a surrogate type that’s not parametrized to represent F . These types are named same as the container and prefixed by For-, as in ForOption or ForListK . You have seen these types used in the Syntax section above!

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I’ve found myself using the online tool JSFiddle more and more. Not for just sharing a quick snippet at a forum such as StackOverflow, but for working on code for applications, code review, collaboration and more. Many developers, if not most developers that use JavaScript, know of JSFiddle, but I realized last week that few really have understood the brilliancy of of the tool and what it can be used for. So let me share with you what I know, and make sure you add a comment if I’ve forgotten something or a new feature has been added.

My public page

Who made this?

Feature list

Write and execute code

Separate panels for JavaScript, styles, html and output. This encourages separation of the three, which is considered best practice, but a practice that many developers fail to follow.

Unit testing with for example QUnit and Jasmine

Why? Code should consist of separate components that are testable, and by breaking up the code and testing it in a separate environment it forces decoupling.


A QUnit example with js fiddle I made

Jasmine js example I made


When you are breaking out the code into separate functional parts and combine it with a simple interface, great debugging tools and remote debugging you get excellent debugging conditions. The remote debugging is not the best, but appreciated. Today, with the latest browsers installed I could only make it work in the nightly Firefox with some but not all devices. Aside from the remote debugging you also have a prettifyer, and jsLint- which I must say is a neat thing to have and use. JavaScript is notoriously annoying to debug and a busy IDE can make it harder. If you want to do differential debugging (I have post coming on the topic) you can use two fiddles for comparison and isolate the error in the non working fiddle.

Remote debugging in jsfiddle


Several users can sign up and work on the same fiddle simultaneously. You can see where they are in the code, there is a chat for quick communication, or the new feature that is still in beta at the moment, which is using voice. Users can select profile picture, editing color for tracking and username.

Why? I always seem to have somebody invited in my fiddle, even if they aren’t active all the time. I can get feedback, they can show things, execute the code and ‘fork’ the code to continue on their own example based of mine. They can modify resources and references, and pairprogramme with me without having to be in the same room.

Because portable services are just a relatively small extension to the way system services are otherwise managed, they can be treated like regular service for almost all use-cases: they will appear along regular services in all tools that can introspect systemd unit data, and can be managed the same way when it comes to logging, resource management, runtime life-cycles and so on.

Portable services are a very generic concept. While the original use-case is OS extensions, it's of course entirely up to you and other users to use them in a suitable way of your choice.

Let's have a look how this all can be used. We'll start with building a portable service image from scratch, before we attach, enable and start it on a host.

As mentioned, you can use any tool you like that can create OS trees or raw images for building Portable Service images, for example debootstrap or dnf --installroot= . For this example walkthrough run we'll use Reebok Womens Running Shoes yellow YELLOW PEACH ORANGE RED ORCHID Multi Color LWtSu
, which is ultimately just a fancy wrapper around dnf and debootstrap but makes a number of things particularly easy when repetitively building images from source trees.

I have pushed everything necessary to reproduce this walkthrough locally to a GitHub repository . Let's check it out:

Let's have a look in the repository:

First of all, walkthroughd.c is the main source file of our little service. To keep things simple it's written in C, but it could be in any language of your choice. The daemon as implemented won't do much: it just starts up and waits for SIGTERM , at which point it will shut down. It's ultimately useless, but hopefully illustrates how this all fits together. The C code has no dependencies besides libc.

walkthroughd.service is a systemd unit file that starts our little daemon. It's a simple service, hence the unit file is trivial.

Makefile is a short make build script to build the daemon binary. It's pretty trivial, too: it just takes the C file and builds a binary from it. It can also install the daemon. It places the binary in /usr/local/lib/walkthroughd/walkthroughd (why not in /usr/local/bin ? because it's not a user-facing binary but a system service binary), and its unit file in /usr/local/lib/systemd/walkthroughd.service . If you want to test the daemon on the host we can now simply run make and then ./walkthroughd in order to check everything works.

mkosi.default is file that tells mkosi how to build the image. We opt for a Fedora-based image here (but we might as well have used Debian here, or any other supported distribution). We need no particular packages during runtime (after all we only depend on libc), but during the build phase we need gcc and make, hence these are the only packages we list in BuildPackages= .

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AdSpruce is the leading programmatic video advertising Supply Side Platform (SSP) on the mobile web dedicated to helping publishers maximize the value of their inventory through high-performance video ad formats and direct sales to brands and agencies. Our ad server can deliver video to more devices than anyone else and we own our whole technology stack enabling us to deliver industry-leading ad experiences, targeting, tracking, security and ad spot controls to customers.

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