manifestation | W3C Web App Manifest | Mobile Application library

I have the following variables: comorb_uveitis, comorb_ibd, comorb_psoriasis, asas_criteria_3_enthesitis, asas_criteria_2_arthritis, basdai_baseline

I wish to create a new variable called "EAM_2" (=extra articular manifestations present N=2) based on the following conditions:

• If two of the five variables (uveitis, ibd, psoriasis, enthesitis, arthritis) is present
• AND if the basdai_baseline is present
• Return 1, otherwise return 0

Sample of data

I am making a /quiz app and storing 100 questions and answers in a .json file but i only want 20 randomize questions to show.

I am getting an error "List index out of range"

How is this?

This is my code:

Update - see my own answer, it was a retain cycle with very indirect results.

I have a very weird bug apparently as some kind of side-effect of having shown an SKView in a different UIView. It seems a manifestation of the old iOS9 bug presentScene not working with transition.

Touchgram is an iMessage app extension which lets you create and play interactive messages. It's like a cross between PowerPoint and a game editor, on top of messages. The interface is built in UIKit and SpriteKit (for playback).

Touchgram's engine creates SKScene objects and can present them with or without transitions, in a multi-page message.

The editing interface starts with a tree view and shows detail editor screens to allow editing things like touch detection, page change actions, playing sounds etc.

Some of our editing screens for details also show an SKView. Specifically, the Touch editor has a mode where an SKView is shown to record either a bounding area or gesture to match.

The Text Element editor shows an SKView as a preview of how styling affects a small piece of text. It renders the text element on the main background of the page, which may be a solid colour or image.

So, what works is, launching the app (actually an app extension inside iMessage) and playing a saved message - it all runs fine, with scene transitions.

However, for one editing screen, if you just go into that screen, without it even drawing anything on its embedded SKView, it breaks playback. (This is the Text Element screen mentioned above).

When you then play any of the messages that have transitions, they get stuck with the nodes from the previous scene still showing.

I've narrowed it down to just the literal presence of that SKView on the errant screen. If the only change I make is to remove that SKView, the problem does not occur. There's (now) not even an outlet bound to the SKView and no code interacting with it.

A different screen (Touch editor) has an SKView on it and does not cause this side-effect.

I've spent days narrowing this down to realise it's this side-effect. It wasn't until I read the SO post linked above that I realised the apparent inconsistency of the bug was because some messages had transitions between scenes and others didn't.

This is blocking the first release of the product after over a year of core engine work.

Portion of the xib showing the nesting of views:

Inside an application which uses very extensively TreeTableViews, I came across a need to fire a code each time a child is added to this tree.

My first approach was to 'encapsulate' the myTree.getChildren().add(...) inside a method, for instance :

Here's an MRE:

I have this format of the dataset in a text file.

Here the dataset link is https://drive.google.com/file/d/1RqU2s0dqjd60dcYlxEJ8vnw9_z2fWixd/view?usp=sharing

I've been doing some research on intent data and I have some technical questions, especially about how two businesses might be collecting "contact level" i.e. personally identified web traffic details without using third-party cookies.

Some quick background: Most of the large providers of intent data (bombora, the big willow/aberdeen/Spiceworks Ziff Davis, Tech Target etc.) offer "account" based intent data - essentially when users visit websites in their network, they do a reverse IP addresses lookup, match them to know IP addresses of large companies (usually companies with at least 250 employees) and note what topics are "surging" - aka showing unusual traffic on a given week. This largely makes sense to me. I'm assuming that when a visitor shows up at your site, google analytics and similar tools can tell you what google search keywords were used to arrive at your site, and that's how they can say things like - we can "observe intent signals across an unlimited number of contextual keyword categories, allowing you to customize your keywords and layer these insights onto your campaigns for optimal performance." Third party cookies, and data from DSP's (demand side platform's enabling ad buyers to buy ads across many platforms) are also involved in providing data, those these will be less useful sources of data after google sunset's third party cookies on Chrome.

Two providers - intentdata.io, and intentflow.com are offering contact level intent data. You can imagine why that would be of interest - if the director of sales is interested in your sales SaaS tool, you have a better idea of how qualified that lead is and who to reach out to. Only one of the two providers is specific about what exactly they're collecting - i.e. what "intent" they are capturing and how they're collecting it.

Intentdata.io looks like a tiny company (two employees on LinkedIn). The most specific statement I've found about what their data is was in an Impact+ podcast interview - Ed, the CRO at intentdata.io, mentions that the data is analogous to commenting on a Forbes article or a conversation on LinkedIn. But he's clear - "that's just an analogy." They also say elsewhere that the data they provide mentions specifically what action the contact took that landed them in the provided data.

Ed from intentdata.io is also asked about GDPR compliance in his Impact+ interview - he basically says, some lawyers will disagree but he believes their data to be GDPR compliant, and it is in use by some firms in the EU. He does mention though that some firms have asked them to exclude certain columns from the data, like email addresses.

Edit: Found a bit more on intentdata.io - looks like they build a custom setup to pull "intent" data for each customer - they don't have a database monitoring company interaction with content across social media and b2b sites, instead you provide them with "lists (names and URLs) of customers, competitors, influencers, events, target accounts and key terms that would indicate intent at different stages in the buying journey. Pull together important hashtags, details on your ideal buyer (job titles, functions, seniority) and firmographics (size, industry, location)" - then they create a custom "algorithm" from this info, and they iterate on that "algorithm" a little bit over time.

They also make this statement on their site: "IntentData.io's data is collected from observing public actions that users are taking around the web. That means that first, we observe action (not reading, searching, browsing, being shown an ad, etc.) which we believe is a more concrete manifestation of intent. Second, people are taking these actions publicly for the world to see. We do not use any cookies, bidstream data or reverse IP lookups."

Finally one piece of their sales collateral asks: What ad budget do you have for PPC nurturing ads? So their may be some targeted PPC ads involved in the "algorithm."

Edit 2: Their sales collateral also states that they use "a third-party intent data methodology that uses multi-variable linear regression analysis to correlate observed actions with a specific contact. This is the method that the LeadSift engine of IntentData.io data uses."

Intentflow.com seems like the sketchier of the two providers if I'm honest. They provide a video walkthrough of how they get their data at intentflow.com/thesis - but I'm not following how using "traceable urls" with no cookies involved, could give you contact level information. They also say they lookup what the most popular articles/pages are for 5k to 40k unique keywords or phrases that are related to 10-50 keywords or phrases you give them to target. And they use "traceable urls" to track who visits those sites. Again - no cookies involved. Supposedly fully compliant at least with US laws. They don't provide data for the EU "by design" so presumably they're not GDPR compliant? They also claim they can identify the individuals who are visiting your website, again using "traceable urls" - it seems clear from the pitch that you're asked to reach out to your backlink providers around the web to use this traceable url.

I've seen an interview where a rep from Bombora says they tried for a while to do contact level intent data and it wasn't very useful - and it wasn't really doable in a compliant way. Ed seems to be aware they've said that publicly, and he says "that's just not true."

So what's going on here? How exactly are these two small firms getting contact level intent data? Do you think they're doing it in a compliant way?

I am working on crawling a webpage. A section of the source code of the page, is below:

I've reviewed similar posts and haven´t found any that address this specific need. Below is very simple MWE of what I'm trying to do: shown in 2 images, and in runnable code. My "Hide" button (or remove UI) doesn't work. Help!! I'm sure it's a simple solution but I'm new to this.

What I'm trying to do: Click on the "Add" button and a file input prompt appears below. Click "Hide" button and the file input prompt goes away. Click "Add" again (after "Hide") and the file input prompt appears again. If you click "Add" now (and repeatedly), that single file input prompt remains. (Most other posts have the object appearing repeatedly, again and again in a growing column, with every additional click of the button - this isn't what I need). Just one click to make it appear (and clicking "Add" over and over just keeps it there in its original single manifestation), and "Hide" makes it go away. Simple as that.

Images: