2,844 research outputs found

    Tissue recognition for contrast enhanced ultrasound videos

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    Accidental Commensality Eating, Belonging, and Mazaa on the Streets of Jaipur

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    Commensality is more than just eating together at a shared table. Who can eat with whom and what is a divisive issue in India, where food and eating serve as functions of inclusion and exclusion. In this paper, I examine street food stalls in Jaipur as sites of eating together with strangers and ask, What forms of commensality do street food stalls enable? Can eating together on the street expand ideas about eating together in public? As part of my fieldwork in Jaipur, I observe the surroundings of street food stalls, participate in heritage food walks with guides, and document oral histories of street food vendors to demonstrate how accidental commensality emerges around these stalls. Using this research, I argue that the features of accessibility, belonging, and cultural memory, coupled with the affective dimensions of street food stalls, create intimacy and a feeling of mazaa that compels us to imagine an unexpected form of commensality through food

    Note on islands in path-length sequences of binary trees

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    An earlier characterization of topologically ordered (lexicographic) path-length sequences of binary trees is reformulated in terms of an integrality condition on a scaled Kraft sum of certain subsequences (full segments, or islands). The scaled Kraft sum is seen to count the set of ancestors at a certain level of a set of topologically consecutive leaves is a binary tree.Comment: 4 page

    Automated Smart Meeting Scheduling

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    Scheduling meetings requires hosts to manually check invitee calendars to find available time slots. Further, it requires invitees to manually accept invites or reject/propose new times. Meeting scheduling currently does not take into account historical user behavior or user preferences that may not be explicitly indicated. This disclosure describes the use of machine learning techniques to automate and simplify meeting scheduling. The techniques are implemented with specific user permission to access the user’s calendar and other data. User data are accessed specifically for the purposes of meeting scheduling and in accordance with user preferences. Trained machine learning models can automatically determine suitable time slots and can take actions on behalf of the user to set up meetings, to accept/reject invitations, propose alternate time slots, and prioritize important meetings

    Where\u27ed You Get Those Eyes?

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    With Ukulele arrangement. Contains advertisements and/or short musical examples of pieces being sold by publisher.https://digitalcommons.library.umaine.edu/mmb-vp/6982/thumbnail.jp

    It Ain\u27t Gonna Rain No Mo\u27

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    1. Oh! the night was dark and dreary,The air was full of sleet,The old mad stood out in the storm,his shoes were full of feet CHORUSOh! it ain\u27t gonna rain no ,o\u27 no mo\u27,it ain\u27t gonna rain no mo\u27,But how in the world can the old folks tell,It ain\u27t gonna rain no mo\u27. 2. Oh! Mosquito he fly high,Mosquito he fly low,If old man \u27Skeeta light on me,he ain\u27t gonna fly no mo\u27

    She Was Just A Sailor\u27s Sweetheart

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    Sheet music contains misogynistic language, concepts, and/or imagry promoting rape culture and/or domestic violence. With Ukulele accompaniment. Contains advertisements and/or short musical examples of pieces being sold by publisher.https://digitalcommons.library.umaine.edu/mmb-vp/6907/thumbnail.jp

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    With Ukulele arrangement. Contains advertisements and/or short musical examples of pieces being sold by publisher.https://digitalcommons.library.umaine.edu/mmb-vp/6901/thumbnail.jp
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