﻿<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/"><channel><title>Millisecond Forums » Millisecond Forums » Inquisit 6  » Organising branches within branches</title><generator>InstantForum 2017-1 Final</generator><description>Millisecond Forums</description><link>https://forums.millisecond.com/</link><webMaster>Millisecond Forums</webMaster><lastBuildDate>Thu, 10 Sep 2026 02:37:25 GMT</lastBuildDate><ttl>20</ttl><item><title>Organising branches within branches</title><link>https://forums.millisecond.com/Topic34393.aspx</link><description>I am creating an experiment requiring the following layout: &lt;br/&gt;&lt;img 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" alt=""&gt;&lt;br/&gt;Where trial 1 will lead to &lt;strong&gt;one&lt;/strong&gt; of the trials 2-5 depending on the participant’s choice&lt;br/&gt;And trial 2 will lead to &lt;strong&gt;one&lt;/strong&gt; of the survey pages 1-8 depending on the participant’s choice and so on. &lt;br/&gt;I have used branches at the trial level, for example trial 1…&lt;br/&gt;&lt;br/&gt;&amp;lt;trial choice&amp;gt;&lt;br/&gt;/ stimulusframes = [5=frontpage, logo, coffee, hotchoc, tea, iced]&lt;br/&gt;/ inputdevice = mouse&lt;br/&gt;/ validresponse = (coffee, hotchoc, tea, iced)&lt;br/&gt;/ branch = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.choice.response==picture.coffee) trial.choicecoffee]&lt;br/&gt;/ branch = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.choice.response==picture.hotchoc) trial.choice.hotchoc]&lt;br/&gt;/ branch = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.choice.response==picture.tea) trial.choice.tea]&lt;br/&gt;/ branch = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.choice.response==picture.iced) trial.choiceiced]&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;… and put all of these trials into a block. When I do this, all trials run in the order they are presented rather than following the specified branches. &lt;br/&gt;I have tried putting all trials in separate blocks and using branches at a block level but that still hasn’t worked.&lt;br/&gt; &lt;br/&gt;Any help would be much appreciated! &lt;br/&gt;Thanks 😊&lt;br/&gt;&lt;br/&gt;</description><pubDate>Tue, 07 Jun 2022 17:21:14 GMT</pubDate><dc:creator>a.finlay</dc:creator></item><item><title>RE: Organising branches within branches</title><link>https://forums.millisecond.com/Topic34395.aspx</link><description>&lt;blockquote data-id="34394" class="if-quote-wrapper" unselectable="on" data-guid="1654622428052" id="if_insertedNode_1654622426769" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34394" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34394" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34394" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 6/7/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34394"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="34393" class="if-quote-wrapper" unselectable="on" data-guid="1654622428052" id="if_insertedNode_1654621132315" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34393" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34393" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34393" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;a.finlay - 6/7/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34393"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;I am creating an experiment requiring the following layout: &lt;br/&gt;&lt;img 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" alt=""&gt;&lt;br/&gt;Where trial 1 will lead to &lt;strong&gt;one&lt;/strong&gt; of the trials 2-5 depending on the participant’s choice&lt;br/&gt;And trial 2 will lead to &lt;strong&gt;one&lt;/strong&gt; of the survey pages 1-8 depending on the participant’s choice and so on. &lt;br/&gt;I have used branches at the trial level, for example trial 1…&lt;br/&gt;&lt;br/&gt;&amp;lt;trial choice&amp;gt;&lt;br/&gt;/ stimulusframes = [5=frontpage, logo, coffee, hotchoc, tea, iced]&lt;br/&gt;/ inputdevice = mouse&lt;br/&gt;/ validresponse = (coffee, hotchoc, tea, iced)&lt;br/&gt;/ branch = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.choice.response==picture.coffee) trial.choicecoffee]&lt;br/&gt;/ branch = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.choice.response==picture.hotchoc) trial.choice.hotchoc]&lt;br/&gt;/ branch = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.choice.response==picture.tea) trial.choice.tea]&lt;br/&gt;/ branch = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.choice.response==picture.iced) trial.choiceiced]&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;… and put all of these trials into a block. When I do this, all trials run in the order they are presented rather than following the specified branches. &lt;br/&gt;I have tried putting all trials in separate blocks and using branches at a block level but that still hasn’t worked.&lt;br/&gt; &lt;br/&gt;Any help would be much appreciated! &lt;br/&gt;Thanks 😊&lt;br/&gt;&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="34393"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;&amp;gt; and put all of these trials into a block.&lt;br/&gt;&lt;br/&gt;Only &amp;lt;trial choice&amp;gt; belongs in the &amp;lt;block&amp;gt;'s /trials. Nothing else.&lt;a class="if-quote-goto quote-link" href="#" data-id="34394"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;The basic structure is really simple and goes like this:&lt;br/&gt;&lt;br/&gt;[code]&amp;lt;defaults&amp;gt;&lt;br/&gt;/ inputdevice = mouse&lt;br/&gt;&amp;lt;/defaults&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;block example&amp;gt;&lt;br/&gt;/ trials = [1=choice] // run the choice trial&lt;br/&gt;&amp;lt;/block&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial choice&amp;gt;&lt;br/&gt;/ stimulusframes = [1=a, b, c, pickone]&lt;br/&gt;/ validresponse = (a, b, c)&lt;br/&gt;/ branch = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;// go to follow-up trial based on response to the choice trial&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.choice.response == "a") {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;return trial.choiceA;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;} else if (trial.choice.response == "b") {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;return trial.choiceB;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;} else if (trial.choice.response == "c") {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;return trial.choiceC;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;};&lt;br/&gt;]&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial choiceA&amp;gt;&lt;br/&gt;/ stimulusframes = [1=a1, a2, wherenext]&lt;br/&gt;/ validresponse = (a1, a2)&lt;br/&gt;/ branch = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;// go to follow-up surveypage based on response&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.choiceA.response == "a1") {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;return surveypage.a1page;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;} else if (trial.choiceA.response == "a2") {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;return surveypage.a2page;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;};&lt;br/&gt;]&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial choiceB&amp;gt;&lt;br/&gt;/ stimulusframes = [1=b1, b2, wherenext]&lt;br/&gt;/ validresponse = (b1, b2)&lt;br/&gt;/ branch = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;// go to follow-up surveypage based on response&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.choiceB.response == "b1") {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;return surveypage.b1page;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;} else if (trial.choiceB.response == "b2") {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;return surveypage.b2page;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;};&lt;br/&gt;]&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial choiceC&amp;gt;&lt;br/&gt;/ stimulusframes = [1=c1, c2, wherenext]&lt;br/&gt;/ validresponse = (c1, c2)&lt;br/&gt;/ branch = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;// go to follow-up surveypage based on response&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.choiceC.response == "c1") {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;return surveypage.c1page;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;} else if (trial.choiceC.response == "c2") {&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;return surveypage.c2page;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;};&lt;br/&gt;]&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;surveypage a1page&amp;gt;&lt;br/&gt;/ caption = "You've reached surveypage A1"&lt;br/&gt;/ showpagenumbers = false&lt;br/&gt;/ showquestionnumbers = false&lt;br/&gt;&amp;lt;/surveypage&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;surveypage a2page&amp;gt;&lt;br/&gt;/ caption = "You've reached surveypage A2"&lt;br/&gt;/ showpagenumbers = false&lt;br/&gt;/ showquestionnumbers = false&lt;br/&gt;&amp;lt;/surveypage&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;surveypage b1page&amp;gt;&lt;br/&gt;/ caption = "You've reached surveypage B1"&lt;br/&gt;/ showpagenumbers = false&lt;br/&gt;/ showquestionnumbers = false&lt;br/&gt;&amp;lt;/surveypage&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;surveypage b2page&amp;gt;&lt;br/&gt;/ caption = "You've reached surveypage B2"&lt;br/&gt;/ showpagenumbers = false&lt;br/&gt;/ showquestionnumbers = false&lt;br/&gt;&amp;lt;/surveypage&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;surveypage c1page&amp;gt;&lt;br/&gt;/ caption = "You've reached surveypage C1"&lt;br/&gt;/ showpagenumbers = false&lt;br/&gt;/ showquestionnumbers = false&lt;br/&gt;&amp;lt;/surveypage&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;surveypage C2page&amp;gt;&lt;br/&gt;/ caption = "You've reached surveypage C2"&lt;br/&gt;/ showpagenumbers = false&lt;br/&gt;/ showquestionnumbers = false&lt;br/&gt;&amp;lt;/surveypage&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;text a&amp;gt;&lt;br/&gt;/ items = ("A")&lt;br/&gt;/ position = (40%, 50%)&lt;br/&gt;&amp;lt;/text&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;text b&amp;gt;&lt;br/&gt;/ items = ("B")&lt;br/&gt;/ position = (50%, 50%)&lt;br/&gt;&amp;lt;/text&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;text c&amp;gt;&lt;br/&gt;/ items = ("C")&lt;br/&gt;/ position = (60%, 50%)&lt;br/&gt;&amp;lt;/text&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;text a1&amp;gt;&lt;br/&gt;/ items = ("A1")&lt;br/&gt;/ position = (45%, 50%)&lt;br/&gt;&amp;lt;/text&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;text a2&amp;gt;&lt;br/&gt;/ items = ("A2")&lt;br/&gt;/ position = (55%, 50%)&lt;br/&gt;&amp;lt;/text&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;text b1&amp;gt;&lt;br/&gt;/ items = ("B1")&lt;br/&gt;/ position = (45%, 50%)&lt;br/&gt;&amp;lt;/text&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;text b2&amp;gt;&lt;br/&gt;/ items = ("B2")&lt;br/&gt;/ position = (55%, 50%)&lt;br/&gt;&amp;lt;/text&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;text c1&amp;gt;&lt;br/&gt;/ items = ("C1")&lt;br/&gt;/ position = (45%, 50%)&lt;br/&gt;&amp;lt;/text&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;text c2&amp;gt;&lt;br/&gt;/ items = ("C2")&lt;br/&gt;/ position = (55%, 50%)&lt;br/&gt;&amp;lt;/text&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;text pickone&amp;gt;&lt;br/&gt;/ items = ("Pick one:")&lt;br/&gt;/ position = (50%, 20%)&lt;br/&gt;&amp;lt;/text&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;text wherenext&amp;gt;&lt;br/&gt;/ items = ("Where to next?")&lt;br/&gt;/ position = (50%, 20%)&lt;br/&gt;&amp;lt;/text&amp;gt;[/code]</description><pubDate>Tue, 07 Jun 2022 17:21:14 GMT</pubDate><dc:creator>Dave</dc:creator></item><item><title>RE: Organising branches within branches</title><link>https://forums.millisecond.com/Topic34394.aspx</link><description>&lt;blockquote data-id="34393" class="if-quote-wrapper" unselectable="on" data-guid="1654621133521" id="if_insertedNode_1654621132315" contenteditable="false"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="34393" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="34393" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="34393" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;a.finlay - 6/7/2022&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-34393"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;I am creating an experiment requiring the following layout: &lt;br/&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;br/&gt;Where trial 1 will lead to &lt;strong&gt;one&lt;/strong&gt; of the trials 2-5 depending on the participant’s choice&lt;br/&gt;And trial 2 will lead to &lt;strong&gt;one&lt;/strong&gt; of the survey pages 1-8 depending on the participant’s choice and so on. &lt;br/&gt;I have used branches at the trial level, for example trial 1…&lt;br/&gt;&lt;br/&gt;&amp;lt;trial choice&amp;gt;&lt;br/&gt;/ stimulusframes = [5=frontpage, logo, coffee, hotchoc, tea, iced]&lt;br/&gt;/ inputdevice = mouse&lt;br/&gt;/ validresponse = (coffee, hotchoc, tea, iced)&lt;br/&gt;/ branch = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.choice.response==picture.coffee) trial.choicecoffee]&lt;br/&gt;/ branch = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.choice.response==picture.hotchoc) trial.choice.hotchoc]&lt;br/&gt;/ branch = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.choice.response==picture.tea) trial.choice.tea]&lt;br/&gt;/ branch = [&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;if (trial.choice.response==picture.iced) trial.choiceiced]&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;… and put all of these trials into a block. When I do this, all trials run in the order they are presented rather than following the specified branches. &lt;br/&gt;I have tried putting all trials in separate blocks and using branches at a block level but that still hasn’t worked.&lt;br/&gt; &lt;br/&gt;Any help would be much appreciated! &lt;br/&gt;Thanks 😊&lt;br/&gt;&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="34393"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;&amp;gt; and put all of these trials into a block.&lt;br/&gt;&lt;br/&gt;Only &amp;lt;trial choice&amp;gt; belongs in the &amp;lt;block&amp;gt;'s /trials. Nothing else.</description><pubDate>Tue, 07 Jun 2022 16:59:28 GMT</pubDate><dc:creator>Dave</dc:creator></item></channel></rss>