<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/91b458e62ab347ffbd532ac29abf26fd&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/91b458e62ab347ffbd532ac29abf26fd-7423ed24b9ff65e6.gif</thumbnail_url><duration>194.943</duration><title>Starting up the Reflective Cloud</title><description>In this video, I demonstrate how to load a session and navigate the reflective cloud at the Toitc Jupyter hub, specifically designed for SRM researchers. After signing in with GitHub, you&apos;ll need to select the Pangio notebook environment and the lowest resource allocation to start your hub efficiently. Once you&apos;re in the Jupyter lab environment, you can access files, run code in notebooks, and utilize shared resources. Please remember to stop your server when you&apos;re done to conserve compute resources for others. Thank you for your attention!</description></oembed>