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    <title>Publications</title>
    <link>https://info.aigora.ai/publications</link>
    <description>Publications</description>
    <language>en-us</language>
    <pubDate>Mon, 28 Sep 2026 20:04:51 GMT</pubDate>
    <dc:date>2026-09-28T20:04:51Z</dc:date>
    <dc:language>en-us</dc:language>
    <item>
      <title>Traditional preference mapping and computational machine learning techniques: A comparative study of approaches to guide product development</title>
      <link>https://info.aigora.ai/publications/traditional-preference-mapping-vs-computational-machine-learning</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.aigora.ai/publications/traditional-preference-mapping-vs-computational-machine-learning" title="" class="hs-featured-image-link"&gt; &lt;img src="/images/blog/default-blog-hero.webp" alt="Featured image for Traditional preference mapping and computational machine learning techniques: A comparative study of approaches to guide product development" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.aigora.ai/publications/traditional-preference-mapping-vs-computational-machine-learning" title="" class="hs-featured-image-link"&gt; &lt;img src="/images/blog/default-blog-hero.webp" alt="Featured image for Traditional preference mapping and computational machine learning techniques: A comparative study of approaches to guide product development" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt;  
&lt;img src="https://track-eu1.hubspot.com/__ptq.gif?a=146118079&amp;amp;k=14&amp;amp;r=https%3A%2F%2Finfo.aigora.ai%2Fpublications%2Ftraditional-preference-mapping-vs-computational-machine-learning&amp;amp;bu=https%253A%252F%252Finfo.aigora.ai%252Fpublications&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Article</category>
      <pubDate>Fri, 01 Nov 2024 04:00:00 GMT</pubDate>
      <guid>https://info.aigora.ai/publications/traditional-preference-mapping-vs-computational-machine-learning</guid>
      <dc:date>2024-11-01T04:00:00Z</dc:date>
      <dc:creator>Thierry Worch, Julien Delarue, Vanessa Rios De Souza, John Ennis</dc:creator>
    </item>
    <item>
      <title>Using Web3 technologies to represent personalized consumer taste preferences in whiskies</title>
      <link>https://info.aigora.ai/publications/using-web3-technologies-to-represent-personalized-consumer-taste-preferences-in-whiskies</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.aigora.ai/publications/using-web3-technologies-to-represent-personalized-consumer-taste-preferences-in-whiskies" title="" class="hs-featured-image-link"&gt; &lt;img src="/images/blog/default-blog-hero.webp" alt="Featured image for Using Web3 technologies to represent personalized consumer taste preferences in whiskies" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.aigora.ai/publications/using-web3-technologies-to-represent-personalized-consumer-taste-preferences-in-whiskies" title="" class="hs-featured-image-link"&gt; &lt;img src="/images/blog/default-blog-hero.webp" alt="Featured image for Using Web3 technologies to represent personalized consumer taste preferences in whiskies" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt;  
&lt;img src="https://track-eu1.hubspot.com/__ptq.gif?a=146118079&amp;amp;k=14&amp;amp;r=https%3A%2F%2Finfo.aigora.ai%2Fpublications%2Fusing-web3-technologies-to-represent-personalized-consumer-taste-preferences-in-whiskies&amp;amp;bu=https%253A%252F%252Finfo.aigora.ai%252Fpublications&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Article</category>
      <pubDate>Sun, 01 Sep 2024 04:00:00 GMT</pubDate>
      <guid>https://info.aigora.ai/publications/using-web3-technologies-to-represent-personalized-consumer-taste-preferences-in-whiskies</guid>
      <dc:date>2024-09-01T04:00:00Z</dc:date>
      <dc:creator>Thierry Worch, Julien Delarue, Vanessa Rios De Souza, John Ennis</dc:creator>
    </item>
    <item>
      <title>Degree of satisfaction-difference (DOSD) method for measuring consumer acceptance: Comparative and absolute measures of satisfaction based on signal detection theory</title>
      <link>https://info.aigora.ai/publications/dosd-method-consumer-acceptance-signal-detection-theory</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.aigora.ai/publications/dosd-method-consumer-acceptance-signal-detection-theory" title="" class="hs-featured-image-link"&gt; &lt;img src="/images/blog/default-blog-hero.webp" alt="Featured image for Degree of satisfaction-difference (DOSD) method for measuring consumer acceptance: Comparative and absolute measures of satisfaction based on signal detection theory" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.aigora.ai/publications/dosd-method-consumer-acceptance-signal-detection-theory" title="" class="hs-featured-image-link"&gt; &lt;img src="/images/blog/default-blog-hero.webp" alt="Featured image for Degree of satisfaction-difference (DOSD) method for measuring consumer acceptance: Comparative and absolute measures of satisfaction based on signal detection theory" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt;  
&lt;img src="https://track-eu1.hubspot.com/__ptq.gif?a=146118079&amp;amp;k=14&amp;amp;r=https%3A%2F%2Finfo.aigora.ai%2Fpublications%2Fdosd-method-consumer-acceptance-signal-detection-theory&amp;amp;bu=https%253A%252F%252Finfo.aigora.ai%252Fpublications&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Article</category>
      <pubDate>Thu, 25 Jul 2024 16:48:53 GMT</pubDate>
      <guid>https://info.aigora.ai/publications/dosd-method-consumer-acceptance-signal-detection-theory</guid>
      <dc:date>2024-07-25T16:48:53Z</dc:date>
      <dc:creator>Thierry Worch, Julien Delarue, Vanessa Rios De Souza, John Ennis</dc:creator>
    </item>
    <item>
      <title>Data Science for Sensory and Consumer Scientists</title>
      <link>https://info.aigora.ai/publications/data-science-for-sensory-and-consumer-scientists</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.aigora.ai/publications/data-science-for-sensory-and-consumer-scientists" title="" class="hs-featured-image-link"&gt; &lt;img src="/images/blog/default-blog-hero.webp" alt="Featured image for Data Science for Sensory and Consumer Scientists" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.aigora.ai/publications/data-science-for-sensory-and-consumer-scientists" title="" class="hs-featured-image-link"&gt; &lt;img src="/images/blog/default-blog-hero.webp" alt="Featured image for Data Science for Sensory and Consumer Scientists" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt;  
&lt;img src="https://track-eu1.hubspot.com/__ptq.gif?a=146118079&amp;amp;k=14&amp;amp;r=https%3A%2F%2Finfo.aigora.ai%2Fpublications%2Fdata-science-for-sensory-and-consumer-scientists&amp;amp;bu=https%253A%252F%252Finfo.aigora.ai%252Fpublications&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Article</category>
      <pubDate>Fri, 29 Sep 2023 04:00:00 GMT</pubDate>
      <guid>https://info.aigora.ai/publications/data-science-for-sensory-and-consumer-scientists</guid>
      <dc:date>2023-09-29T04:00:00Z</dc:date>
      <dc:creator>Thierry Worch, Julien Delarue, Vanessa Rios De Souza, John Ennis</dc:creator>
    </item>
    <item>
      <title>Application of combined tetrad tests and multi‐sip Temporal Check‐All‐That‐Apply to enhance carbonated beverage flavor differentiation</title>
      <link>https://info.aigora.ai/publications/combined-tetrad-tests-tcata-carbonated-beverage-differentiation</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.aigora.ai/publications/combined-tetrad-tests-tcata-carbonated-beverage-differentiation" title="" class="hs-featured-image-link"&gt; &lt;img src="/images/blog/default-blog-hero.webp" alt="Featured image for Application of combined tetrad tests and multi‐sip Temporal Check‐All‐That‐Apply to enhance carbonated beverage flavor differentiation" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.aigora.ai/publications/combined-tetrad-tests-tcata-carbonated-beverage-differentiation" title="" class="hs-featured-image-link"&gt; &lt;img src="/images/blog/default-blog-hero.webp" alt="Featured image for Application of combined tetrad tests and multi‐sip Temporal Check‐All‐That‐Apply to enhance carbonated beverage flavor differentiation" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt;  
&lt;img src="https://track-eu1.hubspot.com/__ptq.gif?a=146118079&amp;amp;k=14&amp;amp;r=https%3A%2F%2Finfo.aigora.ai%2Fpublications%2Fcombined-tetrad-tests-tcata-carbonated-beverage-differentiation&amp;amp;bu=https%253A%252F%252Finfo.aigora.ai%252Fpublications&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Article</category>
      <pubDate>Tue, 19 Sep 2023 04:00:00 GMT</pubDate>
      <guid>https://info.aigora.ai/publications/combined-tetrad-tests-tcata-carbonated-beverage-differentiation</guid>
      <dc:date>2023-09-19T04:00:00Z</dc:date>
      <dc:creator>Thierry Worch, Julien Delarue, Vanessa Rios De Souza, John Ennis</dc:creator>
    </item>
    <item>
      <title>Voice-activated technology in sensory and consumer research: a new frontier</title>
      <link>https://info.aigora.ai/publications/voice-activated-technology-in-sensory-and-consumer-research-a-new-frontier</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.aigora.ai/publications/voice-activated-technology-in-sensory-and-consumer-research-a-new-frontier" title="" class="hs-featured-image-link"&gt; &lt;img src="/images/blog/default-blog-hero.webp" alt="Featured image for Voice-activated technology in sensory and consumer research: a new frontier" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.aigora.ai/publications/voice-activated-technology-in-sensory-and-consumer-research-a-new-frontier" title="" class="hs-featured-image-link"&gt; &lt;img src="/images/blog/default-blog-hero.webp" alt="Featured image for Voice-activated technology in sensory and consumer research: a new frontier" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt;  
&lt;img src="https://track-eu1.hubspot.com/__ptq.gif?a=146118079&amp;amp;k=14&amp;amp;r=https%3A%2F%2Finfo.aigora.ai%2Fpublications%2Fvoice-activated-technology-in-sensory-and-consumer-research-a-new-frontier&amp;amp;bu=https%253A%252F%252Finfo.aigora.ai%252Fpublications&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Article</category>
      <pubDate>Wed, 26 Jul 2023 04:00:00 GMT</pubDate>
      <guid>https://info.aigora.ai/publications/voice-activated-technology-in-sensory-and-consumer-research-a-new-frontier</guid>
      <dc:date>2023-07-26T04:00:00Z</dc:date>
      <dc:creator>Thierry Worch, Julien Delarue, Vanessa Rios De Souza, John Ennis</dc:creator>
    </item>
    <item>
      <title>Understanding the Effects of Smart-Speaker-Based Surveys on Panelist Experience in Immersive Consumer Testing</title>
      <link>https://info.aigora.ai/publications/understanding-effects-smart-speaker-surveys-panelist-experience-immersive-consumer-testing</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.aigora.ai/publications/understanding-effects-smart-speaker-surveys-panelist-experience-immersive-consumer-testing" title="" class="hs-featured-image-link"&gt; &lt;img src="/images/blog/default-blog-hero.webp" alt="Featured image for Understanding the Effects of Smart-Speaker-Based Surveys on Panelist Experience in Immersive Consumer Testing" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.aigora.ai/publications/understanding-effects-smart-speaker-surveys-panelist-experience-immersive-consumer-testing" title="" class="hs-featured-image-link"&gt; &lt;img src="/images/blog/default-blog-hero.webp" alt="Featured image for Understanding the Effects of Smart-Speaker-Based Surveys on Panelist Experience in Immersive Consumer Testing" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt;  
&lt;img src="https://track-eu1.hubspot.com/__ptq.gif?a=146118079&amp;amp;k=14&amp;amp;r=https%3A%2F%2Finfo.aigora.ai%2Fpublications%2Funderstanding-effects-smart-speaker-surveys-panelist-experience-immersive-consumer-testing&amp;amp;bu=https%253A%252F%252Finfo.aigora.ai%252Fpublications&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Article</category>
      <pubDate>Thu, 29 Jun 2023 04:00:00 GMT</pubDate>
      <guid>https://info.aigora.ai/publications/understanding-effects-smart-speaker-surveys-panelist-experience-immersive-consumer-testing</guid>
      <dc:date>2023-06-29T04:00:00Z</dc:date>
      <dc:creator>Thierry Worch, Julien Delarue, Vanessa Rios De Souza, John Ennis</dc:creator>
    </item>
    <item>
      <title>Improving the performance of A-Not A sensory discrimination ratings by modifying sample presentation probability</title>
      <link>https://info.aigora.ai/publications/improving-performance-a-not-a-sensory-discrimination-ratings-modifying-sample-presentation-probability</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.aigora.ai/publications/improving-performance-a-not-a-sensory-discrimination-ratings-modifying-sample-presentation-probability" title="" class="hs-featured-image-link"&gt; &lt;img src="/images/blog/default-blog-hero.webp" alt="Featured image for Improving the performance of A-Not A sensory discrimination ratings by modifying sample presentation probability" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.aigora.ai/publications/improving-performance-a-not-a-sensory-discrimination-ratings-modifying-sample-presentation-probability" title="" class="hs-featured-image-link"&gt; &lt;img src="/images/blog/default-blog-hero.webp" alt="Featured image for Improving the performance of A-Not A sensory discrimination ratings by modifying sample presentation probability" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt;  
&lt;img src="https://track-eu1.hubspot.com/__ptq.gif?a=146118079&amp;amp;k=14&amp;amp;r=https%3A%2F%2Finfo.aigora.ai%2Fpublications%2Fimproving-performance-a-not-a-sensory-discrimination-ratings-modifying-sample-presentation-probability&amp;amp;bu=https%253A%252F%252Finfo.aigora.ai%252Fpublications&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Article</category>
      <pubDate>Wed, 01 Mar 2023 05:00:00 GMT</pubDate>
      <guid>https://info.aigora.ai/publications/improving-performance-a-not-a-sensory-discrimination-ratings-modifying-sample-presentation-probability</guid>
      <dc:date>2023-03-01T05:00:00Z</dc:date>
      <dc:creator>Thierry Worch, Julien Delarue, Vanessa Rios De Souza, John Ennis</dc:creator>
    </item>
    <item>
      <title>Improving the performance of A-Not AR discrimination test using a sensory panel: Effects of the test protocols on sensory data quality</title>
      <link>https://info.aigora.ai/publications/improving-performance-a-not-ar-discrimination-test-sensory-panel</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.aigora.ai/publications/improving-performance-a-not-ar-discrimination-test-sensory-panel" title="" class="hs-featured-image-link"&gt; &lt;img src="/images/blog/default-blog-hero.webp" alt="Featured image for Improving the performance of A-Not AR discrimination test using a sensory panel: Effects of the test protocols on sensory data quality" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.aigora.ai/publications/improving-performance-a-not-ar-discrimination-test-sensory-panel" title="" class="hs-featured-image-link"&gt; &lt;img src="/images/blog/default-blog-hero.webp" alt="Featured image for Improving the performance of A-Not AR discrimination test using a sensory panel: Effects of the test protocols on sensory data quality" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt;  
&lt;img src="https://track-eu1.hubspot.com/__ptq.gif?a=146118079&amp;amp;k=14&amp;amp;r=https%3A%2F%2Finfo.aigora.ai%2Fpublications%2Fimproving-performance-a-not-ar-discrimination-test-sensory-panel&amp;amp;bu=https%253A%252F%252Finfo.aigora.ai%252Fpublications&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Article</category>
      <pubDate>Wed, 01 Mar 2023 05:00:00 GMT</pubDate>
      <guid>https://info.aigora.ai/publications/improving-performance-a-not-ar-discrimination-test-sensory-panel</guid>
      <dc:date>2023-03-01T05:00:00Z</dc:date>
      <dc:creator>Thierry Worch, Julien Delarue, Vanessa Rios De Souza, John Ennis</dc:creator>
    </item>
    <item>
      <title>The observed variance of dʹ estimates compared across the 2-AFCR, Triangle, and Tetrad tasks</title>
      <link>https://info.aigora.ai/publications/observed-variance-d-prime-estimates-compared-2-afcr-triangle-tetrad-tasks</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.aigora.ai/publications/observed-variance-d-prime-estimates-compared-2-afcr-triangle-tetrad-tasks" title="" class="hs-featured-image-link"&gt; &lt;img src="/images/blog/default-blog-hero.webp" alt="Featured image for The observed variance of dʹ estimates compared across the 2-AFCR, Triangle, and Tetrad tasks" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
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      <category>Article</category>
      <pubDate>Tue, 01 Mar 2022 05:00:00 GMT</pubDate>
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      <dc:date>2022-03-01T05:00:00Z</dc:date>
      <dc:creator>Thierry Worch, Julien Delarue, Vanessa Rios De Souza, John Ennis</dc:creator>
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