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[Grab & Go Breakfast]

Description: Photograph of a lawn sign advertising a "Grab & Go Breakfast," organized by the Division of Student Affairs Transfer Center.
Date: January 28, 2025
Creator: Division of Student Affairs Transfer Center
Item Type: Refine your search to only Photograph
Partner: UNT Libraries Special Collections

[Reformed University Fellowship]

Description: Photograph of a lawn sign reading "A rest stop for weary Christians" and "A safe place for the unconvinced." The sign was created by the Denton chapter of the Reformed University Fellowship.
Date: January 28, 2025
Creator: Reformed University Fellowship
Item Type: Refine your search to only Photograph
Partner: UNT Libraries Special Collections
open access

Designing a resilient reverse network to manage the infectious healthcare waste under uncertainty: A stochastic optimization approach

Description: This study formulates a mixed-integer linear programming model for developing a resilient infectious waste management reverse network during the outbreak of the COVID-19 pandemic. Health crisis are unpredictable in nature and it is almost impossible to predict their exact behavior. In this paper, the uncertainty of ambiguous parameters is considered using a scenario-oriented approach. To make the proposed model resilient, three strategies, including establishing new collection centers, overtime… more
Date: July 28, 2024
Creator: Govindan, Kannan; Naieni Fard, Fereshteh Sadeghi; Asgari, Fahimeh; Sorooshian, Shahryar & Mina, Hassan
Item Type: Refine your search to only Article
Partner: UNT College of Information
open access

Efficient and Powerful Integration of Targeted Metabolomics and Transcriptomics for Analyzing the Metabolism Behind Desirable Traits in Plants

Description: This article asserts that through current mass spectrometry methods and multiple RNA-Seq technologies, large metabolomics and transcriptomics datasets are readily obtainable, which provide a powerful and global perspective on metabolism. The authors describe a protocol for obtaining high-quality metabolomics and transcriptomics datasets in developing plant embryos followed by a robust approach to integration of the two.
Date: July 28, 2024
Creator: Johnston, Christopher R.; Arias, Cintia L. & Alonso, Ana Paula
Item Type: Refine your search to only Article
Partner: UNT College of Science
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