Components

5 Twig Components
8 Render Count
26 ms Render Time
74.0 MiB Memory Usage

Components

Name Metadata Render Count Render Time
ProductCard
"App\Twig\Components\ProductCard"
components/ProductCard.html.twig
2 20.14ms
ProductState
"App\Twig\Components\ProductState"
components/ProductState.html.twig
2 0.39ms
ProductMostRecent
"App\Twig\Components\ProductMostRecent"
components/ProductMostRecent.html.twig
2 1.44ms
PageBanner
"App\Twig\Components\PageBanner"
components/PageBanner.html.twig
1 6.30ms
BackButton
"App\Twig\Components\BackButton"
components/BackButton.html.twig
1 0.30ms

Render calls

PageBanner App\Twig\Components\PageBanner 72.0 MiB 6.30 ms
Input props
[
  "backLabel" => "01.040 : Vocabularies"
  "backUrl" => "/taxons/main/ics-2277/01-generalities-terminology-standardization-documentation-4247/01-040-vocabularies-4256"
  "paddingClasses" => "p-2 px-lg-5 py-lg-0"
  "searchPlaceholder" => "sylius.ui.search"
  "showSearch" => "true"
  "title" => "01.040.11 : Health care technology (Vocabularies)"
]
Attributes
[]
Component
App\Twig\Components\PageBanner {#96201
  +supTitle: null
  +title: "01.040.11 : Health care technology (Vocabularies)"
  +subTitle: null
  +backUrl: "/taxons/main/ics-2277/01-generalities-terminology-standardization-documentation-4247/01-040-vocabularies-4256"
  +backLabel: "01.040 : Vocabularies"
  +customClasses: null
  +backgroundType: null
  +centered: true
  +showSearch: true
  +searchPlaceholder: "sylius.ui.search"
  +searchValue: null
  +paddingClasses: "p-2 px-lg-5 py-lg-0"
}
BackButton App\Twig\Components\BackButton 72.0 MiB 0.30 ms
Input props
[
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  "label" => "01.040 : Vocabularies"
]
Attributes
[]
Component
App\Twig\Components\BackButton {#96303
  +label: "01.040 : Vocabularies"
  +url: "/taxons/main/ics-2277/01-generalities-terminology-standardization-documentation-4247/01-040-vocabularies-4256"
}
ProductCard App\Twig\Components\ProductCard 74.0 MiB 10.49 ms
Input props
[
  "product" => App\Entity\Product\Product {#96782
    #id: 12328
    #code: "IEEE00007460"
    #attributes: Doctrine\ORM\PersistentCollection {#96851 …}
    #variants: Doctrine\ORM\PersistentCollection {#96849 …}
    #options: Doctrine\ORM\PersistentCollection {#96845 …}
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    #createdAt: DateTime @1751040361 {#96783
      date: 2025-06-27 18:06:01.0 Europe/Paris (+02:00)
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        #locale: "en_US"
        #translatable: App\Entity\Product\Product {#96782}
        #id: 44321
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        #slug: "ieee-2802-2022-ieee00007460-243981"
        #description: """
          New IEEE Standard - Active.<br />\n
          This standard is aimed at establishing concepts and terminology for the performance and safety evaluation of artificial intelligence medical device, which covers basic technology, dataset, quality characteristics, quality evaluation and application scenario. The annex further provides basic equations for quality evaluation purpose.<br />\n
          \t\t\t\t<br />\n
          The standard establishes terminology used in artificial intelligence medical devices, including definitions of fundamental concepts and methodology that describe the safety, effectiveness, risks and quality management of artificial intelligence medical device. The standard provides definitions using the following forms, such as but not limited to literal description, equations, tables, figures and legends. The standard also establishes a vocabulary for the development of future standards for artificial intelligence medical devices.<br />\n
          The establishment of this consistent terminology promotes a more expansive and streamlined approach to research, development, testing and quality control for the medical Artificial Intelligence (AI) industry. The evaluation of AI will use terminology, which include, but are not limited, to terminology related to performance metrics, safety hazards, cyber security, and software reliability. The standard also provides vocabulary for the development of future general or specific standards of AI medical devices and helps different parties clarify understanding of AI quality considerations.
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    #reviews: Doctrine\ORM\PersistentCollection {#96857 …}
    #averageRating: 0.0
    #images: Doctrine\ORM\PersistentCollection {#96855 …}
    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#96868 …}
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  }
  "layout" => "vertical"
  "showPrice" => true
  "showStatusBadges" => true
  "imageFilter" => "product_listing_thumbnail"
  "additionalClasses" => "h-100 border-0"
  "hasStretchedLink" => true
  "backgroundColor" => "white"
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]
Attributes
[]
Component
App\Twig\Components\ProductCard {#96887
  +product: App\Entity\Product\Product {#96782
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        #description: """
          New IEEE Standard - Active.<br />\n
          This standard is aimed at establishing concepts and terminology for the performance and safety evaluation of artificial intelligence medical device, which covers basic technology, dataset, quality characteristics, quality evaluation and application scenario. The annex further provides basic equations for quality evaluation purpose.<br />\n
          \t\t\t\t<br />\n
          The standard establishes terminology used in artificial intelligence medical devices, including definitions of fundamental concepts and methodology that describe the safety, effectiveness, risks and quality management of artificial intelligence medical device. The standard provides definitions using the following forms, such as but not limited to literal description, equations, tables, figures and legends. The standard also establishes a vocabulary for the development of future standards for artificial intelligence medical devices.<br />\n
          The establishment of this consistent terminology promotes a more expansive and streamlined approach to research, development, testing and quality control for the medical Artificial Intelligence (AI) industry. The evaluation of AI will use terminology, which include, but are not limited, to terminology related to performance metrics, safety hazards, cyber security, and software reliability. The standard also provides vocabulary for the development of future general or specific standards of AI medical devices and helps different parties clarify understanding of AI quality considerations.
          """
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    #reviews: Doctrine\ORM\PersistentCollection {#96857 …}
    #averageRating: 0.0
    #images: Doctrine\ORM\PersistentCollection {#96855 …}
    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#96868 …}
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      date: 2023-05-05 00:00:00.0 Europe/Paris (+02:00)
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    -documents: Doctrine\ORM\PersistentCollection {#96865 …}
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  +additionalClasses: "h-100 border-0"
  +linkLabel: ""
  +imageFilter: "product_listing_thumbnail"
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}
ProductState App\Twig\Components\ProductState 74.0 MiB 0.22 ms
Input props
[
  "product" => App\Entity\Product\Product {#96782
    #id: 12328
    #code: "IEEE00007460"
    #attributes: Doctrine\ORM\PersistentCollection {#96851 …}
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        #locale: "en_US"
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          New IEEE Standard - Active.<br />\n
          This standard is aimed at establishing concepts and terminology for the performance and safety evaluation of artificial intelligence medical device, which covers basic technology, dataset, quality characteristics, quality evaluation and application scenario. The annex further provides basic equations for quality evaluation purpose.<br />\n
          \t\t\t\t<br />\n
          The standard establishes terminology used in artificial intelligence medical devices, including definitions of fundamental concepts and methodology that describe the safety, effectiveness, risks and quality management of artificial intelligence medical device. The standard provides definitions using the following forms, such as but not limited to literal description, equations, tables, figures and legends. The standard also establishes a vocabulary for the development of future standards for artificial intelligence medical devices.<br />\n
          The establishment of this consistent terminology promotes a more expansive and streamlined approach to research, development, testing and quality control for the medical Artificial Intelligence (AI) industry. The evaluation of AI will use terminology, which include, but are not limited, to terminology related to performance metrics, safety hazards, cyber security, and software reliability. The standard also provides vocabulary for the development of future general or specific standards of AI medical devices and helps different parties clarify understanding of AI quality considerations.
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    #averageRating: 0.0
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    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#96868 …}
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Attributes
[
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]
Component
App\Twig\Components\ProductState {#96998
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ProductMostRecent App\Twig\Components\ProductMostRecent 74.0 MiB 0.71 ms
Input props
[
  "product" => App\Entity\Product\Product {#96782
    #id: 12328
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Attributes
[]
Component
App\Twig\Components\ProductMostRecent {#97092
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