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publish updates from main (#22933)
Automated pull request for publishing docs updates. --------- Signed-off-by: Craig <[email protected]> Co-authored-by: Sarah Sanders <[email protected]> Co-authored-by: Craig Osterhout <[email protected]> Co-authored-by: Arthur <[email protected]>
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content/manuals/admin/organization/insights.md

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@@ -34,11 +34,12 @@ To access Insights, you must contact your Customer Success Manager to have the
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feature enabled. Once the feature is enabled, access Insights using the following
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steps:
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1. Go to the [Admin Console](https://app.docker.com/admin/) and sign in to an
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account that is an organization owner.
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2. Select your company on the **Choose profile** page.
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3. Select **Insights**.
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4. On the **Insights** page, select the period of time for the data.
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1. Open [Docker Home](https://app.docker.com/) and select your organization
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on the **Choose profile** page.
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1. Select **Admin Console** in the left-hand navigation menu.
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1. Select **Desktop insights**.
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1. Choose a timeframe for your insights data: **1 Week**, **1 Month**, or
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**3 Months**.
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> [!NOTE]
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>
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Desktop. Note that users who opt out of analytics aren't included in the active
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counts.
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The chart contains the following data.
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The chart contains the following data:
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| Data | Description |
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|:-----------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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this chart. It provides a clear view of the build activity, helping you identify
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patterns, optimize build times, and enhance overall development productivity.
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The chart contains the following data.
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The chart contains the following data:
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| Data | Description |
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|:-----------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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lets you gauge container usage across your organization, helping you understand
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usage trends and manage resources effectively.
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The chart contains the following data.
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The chart contains the following data:
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| Data | Description |
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|:---------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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Docker Desktop is being utilized, enabling you to streamline processes and
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improve efficiency.
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The chart contains the following data.
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The chart contains the following data:
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| Data | Description |
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|:----------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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efficiently used.
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> [!NOTE]
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>
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> Data for images is only for Docker Hub. Data for third-party
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> registries and mirrors aren't included.
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The chart contains the following data.
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The chart contains the following data:
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| Data | Description |
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|:---------------------|:----------------------------------------------------------------------------------------------------------------|
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into the Docker Desktop extensions your team are using, letting you track
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adoption and identify popular tools that enhance productivity.
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The chart contains the following data.
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The chart contains the following data:
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| Data | Description |
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|:-----------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------|
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| Percentage of org with extensions installed | The percentage of users in your organization with at least one Docker Desktop extension installed. |
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| Top 5 extensions installed in the organization | A list of the top 5 Docker Desktop extensions installed by users in your organization and the number of users who have installed each extension. |
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## Export Docker Desktop user data
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You can export Docker Desktop user data as a CSV file:
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1. Open [Docker Home](https://app.docker.com) and select your organization
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on the **Choose profile** page.
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1. Select **Admin Console** in the left-hand navigation menu.
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1. Select **Desktop insights**.
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1. Choose a timeframe for your insights data: **1 Week**, **1 Month**, or
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**3 Months**.
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1. Select **Export** and choose **Docker Desktop users** from the drop-down.
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Your export will automatically download. Open the file to view
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the export data.
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### Understanding export data
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A Docker Desktop user export file contains the following data points:
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- Name: User's name
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- Username: User's Docker ID
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- Email: User's email address associated with their Docker ID
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- Type: User type
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- Role: User [role](/manuals/security/for-admins/roles-and-permissions.md)
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- Teams: Team(s) within your organization the user is a
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member of
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- Date Joined: The date the user joined your organization
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- Last Logged-In Date: The last date the user logged into Docker using
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their web browser (this include Docker Hub and Docker Home)
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- Docker Desktop Version: The version of Docker Desktop the user has
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installed
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- Last Seen Date: The last date the user used the Docker Desktop application
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- Opted Out Analytics: Whether the user has opted out of the
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[Send usage statistics](/manuals/security/for-admins/hardened-desktop/settings-management/settings-reference.md#send-usage-statistics) setting in Docker Desktop
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## Troubleshoot Insights
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If you’re experiencing issues with data in Insights, consider the following
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solutions to resolve common problems.
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* Update users to the latest version of Docker Desktop.
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- Update users to the latest version of Docker Desktop.
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Data is not shown for users using versions 4.16 or lower of Docker Desktop.
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In addition, older versions may not provide all data. Ensure all users have
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installed the latest version of Docker Desktop.
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* Enable **Send usage statistics** in Docker Desktop for all your users.
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- Enable **Send usage statistics** in Docker Desktop for all your users.
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If users have opted out of sending usage statistics for Docker Desktop, then
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their usage data will not be a part of Insights. To manage the setting at
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scale for all your users, you can use [Settings
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Management](/desktop/hardened-desktop/settings-management/) and enable the
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`analyticsEnabled` setting.
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* Ensure that users are using Docker Desktop and aren't using the standalone
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- Ensure that users are using Docker Desktop and aren't using the standalone
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version of Docker Engine.
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Only Docker Desktop can provide data for Insights. If a user installs and
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uses Docker Engine outside of Docker Desktop, Docker Engine won't provide
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data for that user.
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* Ensure that users are signing in to an account associated with your
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- Ensure that users are signing in to an account associated with your
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Users who don’t sign in to an account associated with your organization are

content/manuals/ai/model-runner/_index.md

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Models are cached locally.
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> [!NOTE]
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>
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> When working with the Docker CLI, you can also pull models directly from [HuggingFace](https://huggingface.co/).
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{{< tabs group="release" >}}
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{{< tab name="From Docker Desktop">}}
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{{< /tab >}}
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{{< tab name="From the Docker CLI">}}
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Use the [`docker model pull` command](/reference/cli/docker/model/pull/).
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Use the [`docker model pull` command](/reference/cli/docker/model/pull/). For example:
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```bash {title="Pulling from Docker Hub"}
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docker model pull ai/smollm2:360M-Q4_K_M
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```
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```bash {title="Pulling from HuggingFace"}
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docker model pull hf.co/bartowski/Llama-3.2-1B-Instruct-GGUF
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```
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{{< /tab >}}
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{{< /tabs >}}

content/manuals/desktop/setup/install/windows-install.md

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- 64-bit processor with [Second Level Address Translation (SLAT)](https://en.wikipedia.org/wiki/Second_Level_Address_Translation)
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- 4GB system RAM
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- Enable hardware virtualization in BIOS/UEFI. For more information, see
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[Virtualization](/manuals/desktop/troubleshoot-and-support/troubleshoot/topics.md#virtualization).
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[Virtualization](/manuals/desktop/troubleshoot-and-support/troubleshoot/topics.md#docker-desktop-fails-due-to-virtualization-not-working).
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For more information on setting up WSL 2 with Docker Desktop, see [WSL](/manuals/desktop/features/wsl/_index.md).
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content/manuals/dhi/about/what.md

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Level 3](../core-concepts/slsa.md), ensuring a tamper-resistant, verifiable,
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and auditable build process that protects against supply chain threats.
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- Distroless approach: Unlike traditional base images that bundle an entire OS
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with shells and package managers, [distroless
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images](../core-concepts/distroless.md) exclude the OS layer and include only
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your app and its runtime dependencies, reducing the attack surface by up to 95
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percent and improving performance.
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- Distroless approach: Unlike traditional base images that bundle an entire OS
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with shells, package managers, and debugging tools, [distroless
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images](../core-concepts/distroless.md) retain only the minimal OS components
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required to run your application. By excluding unnecessary tooling and
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libraries, they reduce the attack surface by up to 95% and can improve
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performance and image size.
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- Continuous maintenance: All DHIs are continuously monitored and updated to
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maintain near-zero known exploitable [CVEs](../core-concepts/cves.md), helping

content/manuals/scout/explore/dashboard.md

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The [Docker Scout Dashboard](https://scout.docker.com/) helps you share the
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analysis of images in an organization with your team. Developers can now see an
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overview of their security status across all their images from both Docker Hub
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and Artifactory, and get remediation advice at their fingertips. It helps team
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members in roles such as security, compliance, and operations to know what
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vulnerabilities and issues they need to focus on.
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overview of their security status across all their images from Docker Hub, and
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get remediation advice at their fingertips. It helps team members in roles such
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as security, compliance, and operations to know what vulnerabilities and issues
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## Overview
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content/manuals/scout/integrations/_index.md

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- [Artifactory](./registry/artifactory.md)
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- [Amazon Elastic Container Registry](./registry/ecr.md)
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- [Azure Container Registry](./registry/acr.md)
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