{"id":910461,"date":"2023-01-11T09:00:00","date_gmt":"2023-01-11T17:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?p=910461"},"modified":"2023-01-13T12:12:06","modified_gmt":"2023-01-13T20:12:06","slug":"research-focus-week-of-january-9-2023","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/research\/blog\/research-focus-week-of-january-9-2023\/","title":{"rendered":"Research Focus: Week of January 9, 2023"},"content":{"rendered":"\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1401\" height=\"265\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/01\/RF07_Blog_banner_1400x264.png\" alt=\"Research Focus 07 - Week of January 9th, 2023\" class=\"wp-image-911235\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/01\/RF07_Blog_banner_1400x264.png 1401w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/01\/RF07_Blog_banner_1400x264-300x57.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/01\/RF07_Blog_banner_1400x264-1024x194.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/01\/RF07_Blog_banner_1400x264-768x145.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/01\/RF07_Blog_banner_1400x264-240x45.png 240w\" sizes=\"(max-width: 1401px) 100vw, 1401px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-pullquote\"><blockquote><p><em class=\"\">Welcome to Research Focus, a new series of blog posts that highlights notable publications, events, code\/datasets, new hires and other milestones from across the research community at Microsoft.<\/em><\/p><\/blockquote><\/figure>\n\n\n<aside id=accordion-a3cd0807-3208-4496-9081-29af09906bda class=\"msr-table-of-contents-block accordion mb-5 pb-0\" data-bi-aN=\"table-of-contents\">\n\t<button class=\"btn btn-collapse bg-gray-100 mb-0 display-flex justify-content-between\" type=\"button\" data-mount=\"collapse\" data-target=\"#accordion-collapse-a3cd0807-3208-4496-9081-29af09906bda\" aria-expanded=\"true\" aria-controls=\"accordion-collapse-a3cd0807-3208-4496-9081-29af09906bda\">\n\t\t<span class=\"msr-table-of-contents-block__label subtitle\">In this article<\/span>\n\t\t<span class=\"msr-table-of-contents-block__current mr-4 text-gray-600 font-weight-normal\" aria-hidden=\"true\"><\/span>\n\t<\/button>\n\t<div id=\"accordion-collapse-a3cd0807-3208-4496-9081-29af09906bda\" class=\"msr-table-of-contents-block__collapse-wrapper collapse show\" data-parent=\"#accordion-a3cd0807-3208-4496-9081-29af09906bda\">\n\t\t<div class=\"accordion-body bg-gray-100 border-top pt-4\">\n\t\t\t<ol class=\"msr-table-of-contents-block__list\">\n\t\t\t\t\t\t\t\t\t<li class=\"msr-table-of-contents-block__list-item\">\n\t\t\t\t\t\t<a href=\"\" class=\"msr-table-of-contents-block__list-item-link\">High-throughput ab initio reaction mechanism exploration in the cloud with automated multi-reference validation<\/a>\n\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<li class=\"msr-table-of-contents-block__list-item\">\n\t\t\t\t\t\t<a href=\"\" class=\"msr-table-of-contents-block__list-item-link\">Disparate Impacts on Online Information Access during the COVID-19 Pandemic<\/a>\n\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<li class=\"msr-table-of-contents-block__list-item\">\n\t\t\t\t\t\t<a href=\"\" class=\"msr-table-of-contents-block__list-item-link\">DeepSpeed Data Efficiency library: Towards less data, faster training, and higher model quality<\/a>\n\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<li class=\"msr-table-of-contents-block__list-item\">\n\t\t\t\t\t\t<a href=\"\" class=\"msr-table-of-contents-block__list-item-link\">Research Fellows Program at Microsoft Research India \u2013 Apply now<\/a>\n\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t<\/ul>\n\t\t<\/div>\n\t<\/div>\n\t<span class=\"msr-table-of-contents-block__progress-bar\"><\/span>\n<\/aside>\n\n\n\n<h2 id=\"high-throughput-ab-initio-reaction-mechanism-exploration-in-the-cloud-with-automated-multi-reference-validation\">High-throughput ab initio reaction mechanism exploration in the cloud with automated multi-reference validation<\/h2>\n\n\n\n<p><em>Jan P. Unsleber, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hongbli\/\" target=\"_blank\" rel=\"noreferrer noopener\">Hongbin Liu<\/a>, Leopold Talirz, Thomas Weymuth, Maximilian M\u00f6rchen, Adam Grofe, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/wecker\/\" target=\"_blank\" rel=\"noreferrer noopener\">Dave Wecker<\/a>, Christopher J. Stein, Ajay Panyala, Bo Peng, Karol Kowalski, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/mtroyer\/\" target=\"_blank\" rel=\"noreferrer noopener\">Matthias Troyer<\/a>, Markus Reiher<\/em><\/p>\n\n\n\n<p>Quantum chemical calculations on atomistic systems have evolved into a standard approach to studying molecular matter. These calculations often involve a significant amount of manual input and specific process considerations, which could be automated and allow for further efficiencies. In our recent paper: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/high-throughput-ab-initio-reaction-mechanism-exploration-in-the-cloud-with-automated-multi-reference-validation\/\" target=\"_blank\" rel=\"noreferrer noopener\">High-throughput ab initio reaction mechanism exploration in the cloud with automated multi-reference validation<\/a>, we present the AutoRXN workflow, an automated workflow for exploratory high-throughput electronic structure calculations of molecular systems. In this workflow, (i) density functional theory methods are exploited to deliver minimum and transition-state structures and corresponding energies and properties, (ii) coupled cluster calculations are then launched for optimized structures to provide more accurate energy and property estimates, and (iii) multi-reference diagnostics are evaluated to back check the coupled cluster results and subject them to automated multi-configurational calculations for potential multi-configurational cases. All calculations are carried out in a cloud environment and support massive computational campaigns. Key features of all components of the AutoRXN workflow are autonomy, stability, and minimum operator interference. We highlight the AutoRXN workflow at the example of an autonomous reaction mechanism exploration of the mode of action of a homogeneous catalyst for the asymmetric reduction of ketones.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-1 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-outline is-style-outline--b7645e693a089793a6e86480969c0cf0\"><a data-bi-type=\"button\" class=\"wp-block-button__link\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/high-throughput-ab-initio-reaction-mechanism-exploration-in-the-cloud-with-automated-multi-reference-validation\/\" target=\"_blank\" rel=\"noreferrer noopener\">Read the paper<\/a><\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-dots\"\/>\n\n\n\n\t<div class=\"border-bottom border-top border-gray-300 mt-5 mb-5 msr-promo text-center text-md-left alignwide\" data-bi-aN=\"promo\" data-bi-id=\"931956\">\n\t\t\n\n\t\t<p class=\"msr-promo__label text-gray-800 text-center text-uppercase\">\n\t\t<span class=\"px-4 bg-white display-inline-block font-weight-semibold small\">Spotlight: On-demand video<\/span>\n\t<\/p>\n\t\n\t<div class=\"row pt-3 pb-4 align-items-center\">\n\t\t\t\t\t\t<div class=\"msr-promo__media col-12 col-md-5\">\n\t\t\t\t<a class=\"bg-gray-300\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/ai-explainer-foundation-models-and-the-next-era-of-ai\/\" aria-label=\"AI Explainer: Foundation models \u200band the next era of AI\" data-bi-cN=\"AI Explainer: Foundation models \u200band the next era of AI\" target=\"_blank\">\n\t\t\t\t\t<img decoding=\"async\" class=\"w-100 display-block\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/03\/AIEx01_blog_hero_1400x788.png\" alt=\"a screenshot of a computer screen shot of a man\" \/>\n\t\t\t\t<\/a>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t<div class=\"msr-promo__content p-3 px-5 col-12 col-md\">\n\n\t\t\t\t\t\t\t\t\t<h2 class=\"h4\">AI Explainer: Foundation models \u200band the next era of AI<\/h2>\n\t\t\t\t\n\t\t\t\t\t\t\t\t<p class=\"large\">Explore how the transformer architecture, larger models and more data, and in-context learning have helped advance AI from perception to creation.<\/p>\n\t\t\t\t\n\t\t\t\t\t\t\t\t<div class=\"wp-block-buttons justify-content-center justify-content-md-start\">\n\t\t\t\t\t<div class=\"wp-block-button\">\n\t\t\t\t\t\t<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/ai-explainer-foundation-models-and-the-next-era-of-ai\/\" class=\"btn btn-brand glyph-append glyph-append-chevron-right\" aria-label=\"Watch video\" data-bi-cN=\"AI Explainer: Foundation models \u200band the next era of AI\" target=\"_blank\">\n\t\t\t\t\t\t\tWatch video\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div><!--\/.msr-promo__content-->\n\t<\/div><!--\/.msr-promo__inner-wrap-->\n\t<\/div><!--\/.msr-promo-->\n\t\n\n\n<h2 id=\"disparate-impacts-on-online-information-access-during-the-covid-19-pandemic\">Disparate Impacts on Online Information Access during the COVID-19 Pandemic<\/h2>\n\n\n\n<p><em><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jinsuh\/\" target=\"_blank\" rel=\"noreferrer noopener\">Jina Suh<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/horvitz\/\" target=\"_blank\" rel=\"noreferrer noopener\">Eric Horvitz<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/ryenw\/\" target=\"_blank\" rel=\"noreferrer noopener\">Ryen W. White<\/a>, Tim Althoff<\/em><\/p>\n\n\n\n<p>Despite efforts to close the long-term and emergent health equity gap, studies during the COVID-19 pandemic show that socioeconomically and environmentally disadvantaged subpopulations have been disproportionately harmed by the disease<a href=\"#fn1\">[1]<\/a>. Digital access to health services and information has also emerged as an important factor modulating health outcomes. During the pandemic, digital engagement in resources across health, educational, economic, and social needs became a necessity due to lockdown mandates and increased use of internet-based communication by public institutions. Unfortunately, disparities in digital access also reflect socioeconomic and environmental dimensions, which can lead to negative offline consequences, creating a \u201cdigital vicious cycle\u201d<a href=\"#fn2\">[2]<\/a>. Therefore, it is a public health priority to identify vulnerable populations and to understand potential barriers to critical digital resources.<\/p>\n\n\n\n<p>In a new paper: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/disparate-impacts-on-online-information-access-during-the-covid-19-pandemic\/\" target=\"_blank\" rel=\"noreferrer noopener\">Disparate Impacts on Online Information Access during the COVID-19 Pandemic<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, published in <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.nature.com\/articles\/s41467-022-34592-z\" target=\"_blank\" rel=\"noreferrer noopener\">Nature Communications<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, researchers from Microsoft Research and the University of Washington have collaborated to harness the centrality of web search engines for online information access to observe digital disparities during the pandemic. They analyzed over 55 billion web search interactions on Bing during the pandemic across 25,150 U.S. ZIP codes to reveal that socioeconomic and environmental factors are associated with the differential use of digital resources across different communities \u2013 even if they were digitally connected.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-2 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-outline is-style-outline--f376556cb8ba24af51c16ac84033365d\"><a data-bi-type=\"button\" class=\"wp-block-button__link\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/disparate-impacts-on-online-information-access-during-the-covid-19-pandemic\/\" target=\"_blank\" rel=\"noreferrer noopener\">Read the paper<\/a><\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-dots\"\/>\n\n\n\n<h2 id=\"deepspeed-data-efficiency-library-towards-less-data-faster-training-and-higher-model-quality\">DeepSpeed Data Efficiency library: Towards less data, faster training, and higher model quality<\/h2>\n\n\n\n<p><em><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/deepspeed\/#!people\" target=\"_blank\" rel=\"noreferrer noopener\">DeepSpeed Team,<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/in\/andreyproskurin\/\" target=\"_blank\" rel=\"noreferrer noopener\">Andrey Proskurin<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/em><\/p>\n\n\n\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.deepspeed.ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">DeepSpeed<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> has released a new <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.deepspeed.ai\/2022\/12\/11\/data-efficiency.html\" target=\"_blank\" rel=\"noreferrer noopener\">Data Efficiency library<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> to optimize deep learning training efficiency and cost. The library offers new algorithms on efficient data sampling\/scheduling via curriculum learning and efficient data routing via random layerwise token dropping, together with composable and customizable library support. The library greatly reduces training cost while maintaining model quality (1.5-2x less data and time for GPT-3\/BERT pretraining), or further improves model quality under the same training cost (>1 point gain for GPT-3-1.3B zero\/few-shot evaluation). The code is open-sourced at <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/github.com\/microsoft\/DeepSpeed\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/microsoft\/DeepSpeed<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>.<\/p>\n\n\n\n<p>You can learn more in our <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.deepspeed.ai\/2022\/12\/11\/data-efficiency.html\" target=\"_blank\" rel=\"noreferrer noopener\">blog post<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> and in the papers below.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-3 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-outline is-style-outline--2e95e000f4b73aab822753957273663e\"><a data-bi-type=\"button\" class=\"wp-block-button__link\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/random-ltd-random-and-layerwise-token-dropping-brings-efficient-training-for-large-scale-transformers\/\" target=\"_blank\" rel=\"noreferrer noopener\">Random-LTD paper<\/a><\/div>\n\n\n\n<div class=\"wp-block-button is-style-outline is-style-outline--8fb7d5950f0c6185d2ffb996932e7f91\"><a data-bi-type=\"button\" class=\"wp-block-button__link\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/deepspeed-data-efficiency-improving-deep-learning-model-quality-and-training-efficiency-via-efficient-data-sampling-and-routing\/\" target=\"_blank\" rel=\"noreferrer noopener\">Data Efficiency paper<\/a><\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-dots\"\/>\n\n\n\n<h2 id=\"research-fellows-program-at-microsoft-research-india-apply-now\">Research Fellows Program at Microsoft Research India \u2013 Apply now<\/h2>\n\n\n\n<p>The <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/academic-program\/research-fellows-program-at-microsoft-research-india\/\" target=\"_blank\" rel=\"noreferrer noopener\">Research Fellows Program at Microsoft Research India<\/a> is now accepting applications for Fall 2023. This is an opportunity to work with world-class researchers on state-of-the-art technology. The program prepares students for careers in research, engineering, and entrepreneurship, while pushing the frontiers of computer science and technology. Previous Research Fellows have contributed to all aspects of the research lifecycle, spanning ideation, implementation, evaluation, and deployment.<\/p>\n\n\n\n<p>Selected candidates spend one to two years with Microsoft Research India. Candidates should have completed BS\/BE\/BTech or MS\/ME\/MTech in Computer Science or related areas, graduating by summer 2023. <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/careers.microsoft.com\/students\/us\/en\/job\/1499822\/Research-Fellow\" target=\"_blank\" rel=\"noreferrer noopener\">Apply before February 3, 2023<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-4 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a data-bi-type=\"button\" class=\"wp-block-button__link\" href=\"https:\/\/careers.microsoft.com\/students\/us\/en\/job\/1499822\/Research-Fellow\" target=\"_blank\" rel=\"noreferrer noopener\">Apply now<\/a><\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n","protected":false},"excerpt":{"rendered":"<p>Welcome to Research Focus, a new series of blog posts that highlights notable publications, events, code\/datasets, new hires and other milestones from across the research community at Microsoft. Jan P. Unsleber, Hongbin Liu, Leopold Talirz, Thomas Weymuth, Maximilian M\u00f6rchen, Adam Grofe, Dave Wecker, Christopher J. Stein, Ajay Panyala, Bo Peng, Karol Kowalski, Matthias Troyer, Markus [&hellip;]<\/p>\n","protected":false},"author":42183,"featured_media":912099,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"categories":[1],"tags":[],"research-area":[13556,243138,13555],"msr-region":[],"msr-event-type":[],"msr-locale":[268875],"msr-post-option":[243984],"msr-impact-theme":[],"msr-promo-type":[],"msr-podcast-series":[],"class_list":["post-910461","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research-blog","msr-research-area-artificial-intelligence","msr-research-area-quantum","msr-research-area-search-information-retrieval","msr-locale-en_us","msr-post-option-blog-homepage-featured"],"msr_event_details":{"start":"","end":"","location":""},"podcast_url":"","podcast_episode":"","msr_research_lab":[],"msr_impact_theme":[],"related-publications":[],"related-downloads":[],"related-videos":[],"related-academic-programs":[622332],"related-groups":[],"related-projects":[],"related-events":[],"related-researchers":[],"msr_type":"Post","featured_image_thumbnail":"<img width=\"960\" height=\"540\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/01\/RF07_Blog_hero_1400x788-960x540.png\" class=\"img-object-cover\" alt=\"Microsoft Research - Research Focus 07 Week of January 9, 2023\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/01\/RF07_Blog_hero_1400x788-960x540.png 960w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/01\/RF07_Blog_hero_1400x788-300x169.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/01\/RF07_Blog_hero_1400x788-1024x577.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/01\/RF07_Blog_hero_1400x788-768x433.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/01\/RF07_Blog_hero_1400x788-1066x600.png 1066w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/01\/RF07_Blog_hero_1400x788-655x368.png 655w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/01\/RF07_Blog_hero_1400x788-343x193.png 343w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/01\/RF07_Blog_hero_1400x788-240x135.png 240w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/01\/RF07_Blog_hero_1400x788-640x360.png 640w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/01\/RF07_Blog_hero_1400x788-1280x720.png 1280w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/01\/RF07_Blog_hero_1400x788.png 1401w\" sizes=\"(max-width: 960px) 100vw, 960px\" \/>","byline":"","formattedDate":"January 11, 2023","formattedExcerpt":"Welcome to Research Focus, a new series of blog posts that highlights notable publications, events, code\/datasets, new hires and other milestones from across the research community at Microsoft. Jan P. 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