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Beyond Labels: Leveraging Deep Learning and LLMs for Content Metadata

Autor: Agrawal, Saurabh, Trenkle, John, Kawale, Jaya

Content metadata plays a very important role in movie recommender systems as it provides valuable information about various aspects of a movie such as genre, cast, plot synopsis, box office summary, etc. Analyzing the metadata can help understand the

Externí odkaz: http://arxiv.org/abs/2309.08787

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Akademický článek

Light-field flow cytometry for high-resolution, volumetric and multiparametric 3D single-cell analysis

Autor: Xuanwen Hua, Keyi Han, Biagio Mandracchia, Afsane Radmand, Wenhao Liu, Hyejin Kim, Zhou Yuan, Samuel M. Ehrlich, Kaitao Li, Corey Zheng, Jeonghwan Son, Aaron D. Silva Trenkle, Gabriel A. Kwong, Cheng Zhu, James E. Dahlman, Shu Jia

Publikováno v: Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)

Abstract Imaging flow cytometry (IFC) combines flow cytometry and fluorescence microscopy to enable high-throughput, multiparametric single-cell analysis with rich spatial details. However, current IFC techniques remain limited in their ability to re

Externí odkaz: https://doaj.org/article/4523c0533efd47cd8f5f386a1b3e847a

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Akademický článek

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Akademický článek

The impact and feasibility of a brief, virtual, educational intervention for home healthcare professionals on Parkinson’s Disease and Related Disorders: pilot study of I SEE PD Home

Autor: Serena P. Hess, Melissa Levin, Faizan Akram, Katheryn Woo, Lauren Andersen, Kristie Trenkle, Patricia Brown, Bichun Ouyang, Jori E. Fleisher

Publikováno v: BMC Medical Education, Vol 22, Iss 1, Pp 1-11 (2022)

Abstract Background Individuals with advanced Parkinson’s Disease (PD) and Parkinson-related disorders (PRD) are frequently referred for home allied therapies and nursing care, yet home healthcare professionals have limited training in PD/PRD. Whil

Externí odkaz: https://doaj.org/article/7e5dd03b067e4b9cb1144451bd77c80f

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