The retired Supreme Court judge said the AK Patnaik committee report that investigated alleged manipulation of the court should be placed before the bench.

While there is an urgent need for data, false information can be worse than none at all.

The Lombardy club returned to individual training this week and are expecting Swedish star Zlatan Ibrahimovic to return in the coming days.

The quasi-private relief fund does not stand up to scrutiny.

In this fascinating footage Pataudi, one of the greatest Indian captains, talks about how he became a leader, the accident that damaged his eye, and more.

The state has registered a huge increase in the number of coronavirus cases in the last few days.

Dr David Kerr on when it might be the right decision to tell patients that you believe they're pursuing the wrong treatment.
Medscape Oncology

How do you define the standard of care when exciting anticancer strategies enter the scene almost daily? There is no simple answer, says Dr Maurie Markman.
Medscape Oncology

Basket trials and 'just in time' trials are two new options to target actionable genetic mutations in cancer, regardless of tumor type.
Medscape Oncology

The Agency for Healthcare Research and Quality (AHRQ) announced today that Mathematica is the grand prizewinner of the Agency’s Visualization Resources of Community-Level Social Determinants of Health Challenge for its Data Visualization Tool.

Mathematica has released positive evaluation findings from Year 2 of the Million Hearts® model, just in time for American Heart Month this February.

The Vermont Division of Vocational Rehabilitation’s Linking Learning to Careers (LLC) program provides enhanced services to help high school students with disabilities as they make the transition to careers or postsecondary education. These enhanced services include access to assistive technology.

This report presents the findings from Mathematica’s cumulative review of the John D. and Catherine T. MacArthur Foundation’s Maternal Health Quality of Care (MHQoC) strategy in India.

This Health Affairs article describes primary care delivery system reform models that were developed and tested over the past decade by the Center for Medicare and Medicaid Innovation—which was created by the Affordable Care Act—and reflect on key lessons and remaining challenges.

In the March issue of Health Affairs, which is devoted to examining the effects and legacy of the ACA, Mathematica’s experts discuss “The Changing Landscape of Primary Care: Effects of the ACA and Other Efforts over the Past Decade.”

Mathematica study will evaluate the effectiveness of the Transitional Care Model (TCM) in reducing rehospitalizations and will promote widespread use of the program in a number of health systems.

This issue brief reports on how three states coordinate the establishment and enforcement of parenting time with child support establishment activities.

Mathematica was contracted by Medicaid and CHIP Payment and Access Commission (MACPAC) to create an updated inventory of state- and territory-level Medicaid policies, programs, or initiatives that are designed to improve the access to, quality of, and outcomes of maternity care services.

Before the COVID-19 pandemic changed our daily lives, resource-constrained child welfare agencies across the country already faced challenges with implementing parts of the new Family First Prevention Services Act (FFPSA) of 2018.

This primer is designed to help researchers, data scientists, and others who analyze health care claims or administrative data (herein referred to as “claims”) quickly join the effort to better understand, track, and contain COVID-19.

Online Resource

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Rotch Library - HD879.M444 B35 2019

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Rotch Library - QH541.5.C6 S45 2018

See how your favourite models rocked the challenge.

Andy Bell rings out a fresh call in support of the timeless concept of progressive enhancement. What does it mean to build a modern JavaScript-focussed web experience that still works well if part of the stack isn’t supported or fails? Andy shows us how that might be done.

Those that know me well know that I make a lot of side projects. I most definitely make too many, but there’s one really useful thing about making lots of side projects: it allows me to experiment in a low-risk setting.

Side projects also allow me to accidentally create a context where I can demonstrate a really affective, long-running methodology for building on the web: progressive enhancement. That context is a little Progressive Web App that I’m tinkering with called Jotter. It’s incredibly simple, but under the hood, there’s a really solid experience built on top of a minimum viable experience which after reading this article, you’ll hopefully apply this methodology to your own work.

What is a minimum viable experience?

The key to progressive enhancement is distilling the user experience to its lowest possible technical solution and then building on it to improve the user experience. In the context of Jotter, that is a humble <textarea> element. That humble <textarea> is our minimum viable experience.

Let me show you how it’s built up, progressively real quick. If you disable CSS and JavaScript, you get this:

This result is great because I know that regardless of what happens, the user can do what they needed to do when the loaded Jotter in their browser: take some notes. That’s our minimum viable experience, completed with a few lines of code that work in every single browser—even very old browsers. Don’t you just love good ol’ HTML?

Now it’s time to enhance that minimum viable experience, progressively. It’s a good idea to do that in smaller steps rather than just provide a 0% experience or a 100% experience, which is the approach that’s often favoured by JavaScript framework enthusiasts. I think that process is counter-intuitive to the web, though, so building up from a minimum viable experience is the optimal way to go, in my opinion.

Understanding how a minimum viable experience works can be a bit tough, admittedly, so I like to use a the following diagram to explain the process:

Let me break down this diagram for both folks who can and can’t see it. On the top row, there’s four stages of a broken-up car, starting with just a wheel, all the way up to a fully functioning car. The car enhances only in a way that it is still mostly useless until it gets to its final form when the person is finally happy.

On the second row, instead of building a car, we start with a skateboard which immediately does the job of getting the person from point A to point B. This enhances to a Micro Scooter and then to a Push Bike. Its final form is a fancy looking Motor Scooter. I choose that instead of a car deliberately because generally, when you progressively enhance a project, it turns out to be way simpler and lighter than a project that was built without progressive enhancement in mind.

Now that we know what a minimum viable experience is and how it works, let’s apply this methodology to Jotter!

Add some CSS

The first enhancement is CSS. Jotter has a very simple design, which is mostly a full height <textarea> with a little sidebar. A flexbox-based, auto-stacking layout, inspired by a layout called The Sidebar is used and we’re good to go.

Based on the diagram from earlier, we can comfortably say we’re in Skateboard territory now.

Add some JavaScript

We’ve got styles now, so let’s enhance the experience again. A user can currently load up the site and take notes. If the CSS loads, it’ll be a more pleasant experience, but if they refresh their browser, they’re going to lose all of their work.

We can fix that by adding some local storage into the mix.

The functionality flow is pretty straightforward. As a user inputs content, the JavaScript listens to an input event and pushes the content of the <textarea> into localStorage. If we then set that localStorage data to populate the <textarea> on load, that user’s experience is suddenly enhanced because they can’t lose their work by accidentally refreshing.

The JavaScript is incredibly light, too:

const textArea = document.querySelector('textarea');
const storageKey = 'text';

const init = () => {

  textArea.value = localStorage.getItem(storageKey);

  textArea.addEventListener('input', () => {
    localStorage.setItem(storageKey, textArea.value);
  });
}

init();

In around 13 lines of code (which you can see a working demo here), we’ve been able to enhance the user’s experience considerably, and if we think back to our diagram from earlier, we are very much in Micro Scooter territory now.

Making it a PWA

We’re in really good shape now, so let’s turn Jotter into a Motor Scooter and make this thing work offline as an installable Progressive Web App (PWA).

Making a PWA is really achievable and Google have even produced a handy checklist to help you get going. You can also get guidance from a Lighthouse audit.

For this little app, all we need is a manifest and a Service Worker to cache assets and serve them offline for us if needed.

The Service Worker is actually pretty slim, so here it is in its entirety:

const VERSION = '0.1.3';
const CACHE_KEYS = {
  MAIN: `main-${VERSION}`
};

// URLS that we want to be cached when the worker is installed
const PRE_CACHE_URLS = ['/', '/css/global.css', '/js/app.js', '/js/components/content.js'];

/**
 * Takes an array of strings and puts them in a named cache store
 *
 * @param {String} cacheName
 * @param {Array} items=[]
 */
const addItemsToCache = function(cacheName, items = []) {
  caches.open(cacheName).then(cache => cache.addAll(items));
};

self.addEventListener('install', evt => {
  self.skipWaiting();

  addItemsToCache(CACHE_KEYS.MAIN, PRE_CACHE_URLS);
});

self.addEventListener('activate', evt => {
  // Look for any old caches that don't match our set and clear them out
  evt.waitUntil(
    caches
      .keys()
      .then(cacheNames => {
        return cacheNames.filter(item => !Object.values(CACHE_KEYS).includes(item));
      })
      .then(itemsToDelete => {
        return Promise.all(
          itemsToDelete.map(item => {
            return caches.delete(item);
          })
        );
      })
      .then(() => self.clients.claim())
  );
});

self.addEventListener('fetch', evt => {
  evt.respondWith(
    caches.match(evt.request).then(cachedResponse => {
      // Item found in cache so return
      if (cachedResponse) {
        return cachedResponse;
      }

      // Nothing found so load up the request from the network
      return caches.open(CACHE_KEYS.MAIN).then(cache => {
        return fetch(evt.request)
          .then(response => {
            // Put the new response in cache and return it
            return cache.put(evt.request, response.clone()).then(() => {
              return response;
            });
          })
          .catch(ex => {
            return;
          });
      });
    })
  );
});

What the Service Worker does here is pre-cache our core assets that we define in PRE_CACHE_URLS. Then, for each fetch event which is called per request, it’ll try to fulfil the request from cache first. If it can’t do that, it’ll load the remote request for us. With this setup, we achieve two things:

1. We get offline support because we stick our critical assets in cache immediately so they will be accessible offline
2. Once those critical assets and any other requested assets are cached, the app will run faster by default

Importantly now, because we have a manifest, some shortcut icons and a Service Worker that gives us offline support, we have a fully installable PWA!

Wrapping up

I hope with this simplified example you can see how approaching web design and development with a progressive enhancement approach, everyone gets an acceptable experience instead of those who are lucky enough to get every aspect of the page at the right time.

Jotter is very much live and in the process of being enhanced further, which you can see on its little in-app roadmap, so go ahead and play around with it.

Before you know it, it’ll be a car itself, but remember: it’ll always start as a humble little <textarea>.

About the author

Andy Bell is an independent designer and front-end developer who’s trying to make everyone’s experience on the web better with a focus on progressive enhancement and accessibility.

More articles by Andy

Colin Bendell gets into the minutia of microbrowsers - the small previews of your site that are pervasive all around the web and through social media apps and search engines whenever an item of content on your site is referenced.

You’ve seen it everywhere - that little thumbnail preview of a website mentioned in a tweet, the expanded description in a Slack channel, or in WhatsApp group chat.

Figure 1: The preview shown in a group chat provides a hint of what the real webpage looks like

These link previews are so commonplace that we hardly pay any attention to how our site design might be impacting the generated preview. Yet, these previews can be the most influential part for attracting new audiences and increasing engagement - possibly more than SEO. Even more alarming is that most web analytics are blind to this traffic and can’t show you how these Microbrowsers are interacting with your site.

As we close out the year, here are five essential questions and ideas that every web dev should know about Microbrowsers.

1. What are Microbrowsers? How are they different from “normal” browser?

We are all very familiar with the main browsers like Firefox, Safari, Chrome, Edge and Internet Explorer. Not to mention the many new browsers that use Chromium as the rendering engine but offer unique user experiences like Samsung Internet or Brave.

In contrast, Microbrowsers are a class of User-Agents that also visit website links, parse HTML and generate a user experience. But unlike those traditional browsers, the HTML parsing is limited and the rendering engine is singularly focused. The experience is not intended to be interactive. Rather the experience is intended to be representational - to give the user a hint of what exists on the other side of the URL.

Creating link previews is not new. Facebook and Twitter have been adding these link previews in posts for nearly a decade. That used to be the primary use case. Marketing teams created backlog items to adopt different microdata - from Twitter Cards and Open Graph annotations for Facebook. LinkedIn likewise embraced both Open Graph and OEmbed tags to help generate the previews

<meta name="description" content="seo description long">
<meta name="keywords" content="seo keyword list">

<link rel="shortcut icon" href="favicon.ico" 
                          type="image/x-icon">
<link rel="icon" href="favicon_32.png" sizes="32x32">
<link rel="icon" href="favicon_48.png" sizes="48x48">
<link rel="icon" href="favicon_96.png" sizes="96x96">
<link rel="icon" href="favicon_144.png" sizes="144x144">

<meta property="og:title" content="Short title here" />
<meta property="og:description" content="shortish description" />
<meta name="twitter:title" content="Short title here">
<meta name="twitter:description" content="shortish description">

<meta property="og:image"
      content="https://res.cloudinary.com/.../hero-img.png" />

<meta name="twitter:image:src"
      content="https://res.cloudinary.com/.../hero-img.png">

As group chats and other collaboration tools have become more prevalent, we have seen many features from the big social media platforms emerge. Particularly in recent years we’ve seen the adoption of the link unfurling behaviour in these chat platforms. Rather than reinventing the wheel, each platform looks for pre-existing microdata to generate the preview.

But which data should be used? How should this be arranged? As it turns out, each platform behaves slightly differently; presenting information in slightly different ways.

Figure 2: The same amazon link shared in iMessage (left), Hangouts and WhatsApp (right)

2. If Microbrowsers are everywhere, why don’t I see them in my analytics reports?

It’s easy to miss the traffic from Microbrowsers. This is for a number of reasons:

First, page requests from Microbrowsers don’t run JavaScript and they don’t accept cookies. The Google Analytics <script> block won’t be run or executed. And all cookie will be ignored by the rendering agent.

Second, if you were to do a log analysis based on HTTP logs from your CDN or web stack, you would see a relatively small volume of traffic. That is assuming you can identify the User-Agent strings. Some of these Microbrowsers impersonate real browsers and others impersonate Facebook or twitter. For example, iMessage uses the same User-Agent string for all these requests and it hasn’t changed since iOS 9.

User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_1) 
             AppleWebKit/601.2.4 (KHTML, like Gecko) 
             Version/9.0.1 Safari/601.2.4 
             facebookexternalhit/1.1  
             Facebot Twitterbot/1.0

Finally, many platforms - particularly Facebook Messenger and Hangouts use centralized services to request the preview layout. This, in contrast to WhatsApp and iMessage where you will see one request per user. In the centralized consumer approach your web servers will only see one request, but this one request might represent thousands of eyeballs.

3. Microbrowser are probably more important than google bot

We all know the importance of having our web sites crawled by search engines like googlebot. These bots are the lifeblood for lead generation and for discovering new users.

However, the real gold for marketers is from word-of-mouth discussions. Those conversations with your friends when you recommend a TV show, a brand of clothing, or share a news report. This is the most valuable kind of marketing.

Last year when assembling the data for Cloudinary’s State of the Visual Media report, I discovered that there was a very prominent usage pattern over the USA holiday season. During thanksgiving, all the way to Black Friday, the rate of link sharing skyrocketed as group chats shared deals and insights.

Zooming out (and normalizing for time-of-day), we can see that there is a daily cadence of link sharing and word of mouth referrals. It probably isn’t a shock to see that we predominantly share links in Slack between Monday and Friday, while WhatsApp is used all week long. Likewise, WhatsApp is most often used during our ‘break’ times like lunch or in the evening after we put the kids to bed.

While the link preview is increasingly common, there are two user behaviours to balance:

• Users can be skeptical of links sent via SMS and other chats. We don’t want to be fooled into clicking a phishing links and so we look for other queues to offer validation. This is why most platforms use the preview while also emphasize the website url host name.

• Skimming. I’m sure you’ve had the experience coming out of a meeting or grocery store to find a group chat with 100 messages. As you scroll to catch up on the conversation, links can easily be skipped. In this way, users expect the preview to act as a summary to tell them how important it is to visit the link.

Figure 4: Nielsen Norman Group summarizes the research in a dynamic image preview

Figure 5: A mockup of how an ecommerce product could create compelling previews showcasing colors, stock and price in the preview

4. Microbrowsers are not real browsers (they just play one on TV)

As I previously mentioned, Microbrowsers pretend to be a browser in that they send the right HTTP headers and often send impersonating User-Agent strings. Yet, there are several characteristics that a web dev should be aware of.

First, Microbrowsers try to protect the User’s privacy. The user hasn’t decided to visit your site yet, and more importantly, the user is having a private conversation. The fact that your brand or website is mentioned should just make your ears burn, but you shouldn’t be able to listen in to the conversation.

For this reason, all Microbrowsers:

• don’t execute JavaScript - so your react application won’t work
• ignore all cookies - so your A/B or red/green cookies will be ignored
• some will follow redirects, but will quickly time out after a few seconds and give up trying to expand the link.
• there won’t be a referer: HTTP header when the user clicks the link for the full browser. In fact, a new user will appear as ‘direct’ traffic - as though they typed in the url.

Second, Microbrowsers have a very small brain and very likely don’t use an advanced network algorithm. Most browsers will use a tokenizer to parse the HTML markup and send requests to the network stack asynchronously. Better yet, browsers will do some analysis of the resources needed before sending the async request to the network.

Based on observational experimentation, most platforms simply use a glorified for loop when parsing the HTML and often request the resources synchronously. This might be ok for fast wifi experiences, but it can cause inconsistent experiences on flaky wifi.

For example, iMessage will discover and load all <link rel="icon" > favicon, all <meta property="og:image" images, and all <meta name="twitter:image:src" before deciding what to render. Many sites still advertise 5 or more favicon sizes. This means that iMessage will download all favicons regardless of size and then not use them if it decides to instead render the image.

For this reason the meta markup that is included is important. The lighter the content, the more likely it will be to be rendered.

5. Markup Matters

Since Microbrowsers are simple-brained browsers, it is all the more important to produce good markup. Here are a few good strategies:

• It’s almost 2020, you only need one favicon size. Remove all the other <link rel="shortcut icon" and <link rel="icon" references.
• Based on observational experimentation, the most commonly recognized microdata tags for preview are the Open-Graph tags. When the OG and twitter card tags are missing, the default SEO <meta name="description" is used. However, since the description is often nonsensical SEO optimized phrases, users’ eyes will likely glaze over.

• On that note, use good descriptive text
• Provide up to three <meta property="og:image" images. Most platforms will only load the first one, while others (notably iMessage) attempts to create a collage.

Figure 6: Amazon uses User-Agent detection which results in many link previews using the description meta tag.

• Use <meta property="og:video* with progressive (not streaming) video experiences.

<meta property="og:type" content="video.other">
<meta property="og:video:url" 
               content="https://shoesbycolin.com/blue.mp4">
<meta property="og:video:secure_url" 
               content="https://shoesbycolin.com/blue.mp4">
<meta property="og:video:type" content="video/mp4">
<meta property="og:video:width" content="1280">
<meta property="og:video:height" content="720">

• Don’t use UA sniffing to hide the <meta> tags. Sites like Amazon do this to try and show only Facebook/Twitter the microdata annotated website. But this can cause problems for some Microbrowsers that don’t use the same impersonation convention. The result is a simple link without a preview.
• Use the opportunity to tell your product story or summarize your ideas.

Summary

As more of our conversations happen in group chats and slack channels, link previews are an important way for you to engage users before they start the journey on your site. Unfortunately, not all websites present good or compelling previews. (And now that you know what to look for, you won’t be able to unsee bad examples - I’m sorry). To help users take the leap and visit your site, we need to make sure that all our pages are annotated with microdata. Better yet, we can use these previews to create compelling visual summaries.

About the author

Colin is part of the CTO Office at Cloudinary and co-author of the O’Reilly book High Performance Images. He spends much of his time at the intersection of high volume data, media, browsers and standards. He recently helped the community effort writing chapters in the Web Almanac on Media and CDNs. You can find him on tweeting @colinbendell and at blogging at https://bendell.ca

More articles by Colin

Cambridge, Mass. : National Bureau of Economic Research, 2020

Cambridge, Mass. : National Bureau of Economic Research, 2020

Cambridge, Mass. : National Bureau of Economic Research, 2020

Dewey Library - HV6250.4.W65 B69 2019

Dewey Library - JK1896.W37 2019

Dewey Library - JC251.A74 A83 2019

Dewey Library - JC423.G74 2019

Dewey Library - JC599.U5 K568 2019

Rotch Library - HV8148.N5 T39 2019

Dewey Library - JF1525.L4 A63 2019

Barker Library - UG485.G46 2018

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Dewey Library - JK468.L5 B34 2018

Girls living in affected areas are to attend school with assurance of protection.