43,652 research outputs found

    [News Clip: Cockrell Hill]

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    Video footage from the WBAP-TV television station in Fort Worth, Texas, to accompany a news story about a food drive for the family of Robert A. Jones in Cockrell Hill

    Cockrell Banana Co. Invoices

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    Materials documenting the Robert Atkinson rolling store: invoices from Cockrell Banana Co. to Robert Atkinson.https://scholarsjunction.msstate.edu/mss-atkinson-papers/1051/thumbnail.jp

    Robert Cockrell, bass trombone

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    Ralph Vaughan WilliamsEdward GregsonRichard StraussClay Smith, arr. Blair Bollinge

    Author Tom Keneally back stage at the Nimrod Theatre, Sydney, 1980 /

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    Title from acquisitions documentation.; Part of the collection: Robert McFarlane collection of photographs.; Inscriptions: "Author Tom Keneally back stage Nimrod Theatre 1980 Robert McFarlane"--In pencil on reverse.; Also available online at: http://nla.gov.au/nla.pic-vn6615438

    NBC News Scripts

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    Script from the WBAP-TV/NBC station in Fort Worth, Texas, covering a news story about a food drive for the family of Robert A. Jones in Cockrell Hill

    Author Tom Keneally and actor Justine Saunders backstage during the rehearsals of Bullie's House, Nimrod Theatre, Sydney, 1980 /

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    Title from acquisitions documentation.; Part of the collection: Robert McFarlane collection of photographs.; Inscriptions: "Author Tom Keneally + Actor Justine Saunders backstage Nimrod Theatre 1980 during rehearsal's 'Bulli'es House' Robert McFarlane"--In pencil on reverse.; Also available online at: http://nla.gov.au/nla.pic-vn6615450

    Letter and bill from S. W. Cockrell, Eutaw, Alabama, to Henry A. Snow, Tuscaloosa, Alabama, January 19, 1857

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    This item is from the Robert Jemison, Jr. Papers. The collection spans the period from 1797 to 1960 and includes both the personal and business papers of Robert Jemison, Jr., along with papers of Robert Jemison (grandfather), William Jemison (father), Priscilla Jemison (wife), Cherokee Jemison Hargrove (daughter), and Andrew Coleman Hargrove (son-in-law), and Robert Jemison, Jr. (IV) of Birmingham (1878-1973). Included are the records of his grist and lumber mills, plantations, stage line, the Tuskaloosa Plank Road, toll bridges, ferries, postal contracts, and the North East and South West Railroad

    Model-based machine learning to identify clinical relevance in a high-resolution simulation of sepsis and trauma

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    Introduction: Sepsis is a devastating, costly, and complicated disease. It represents the summation of varied host immune responses in a clinical and physiological diagnosis. Despite extensive research, there is no current mediator-directed therapy, nor a biomarker panel able to categorize disease severity or reliably predict outcome. Although still distant from direct clinical translation, dynamic computational and mathematical models of acute systemic inflammation and sepsis are being developed. Although computationally intensive to run and calibrate, agent-based models (ABMs) are one type of model well suited for this. New analytical methods to efficiently extract knowledge from ABMs are needed. Specifically, machine-learning techniques are a promising option to augment the model development process such that parameterization and calibration are performed intelligently and efficiently. Methods: We used the Keras framework to train an Artificial Neural Network (ANN) for the purpose of identifying critical biological tipping points at which an in silico patient would heal naturally or require intervention in the Innate Immune Response Agent-Based Model (IIRABM). This ANN, determines simulated patient “survival” from cytokine state based on their overall resilience and the pathogenicity of any active infections experienced by the patient, defined by microbial invasiveness, toxigenesis, and environmental toxicity. These tipping points were gathered from previously generated datasets of simulated sweeps of the 4 IIRABM initializing parameters. Results: Using mean squared error as our loss function, we report an accuracy of greater than 85% with inclusion of 20% of the training set. This accuracy was independently validated on withheld runs. We note that there is some amount of error that is inherent to this process as the determination of the tipping points is a computation which converges monotonically to the true value as a function of the number of stochastic replicates used to determine the point. Conclusion: Our method of regression of these critical points represents an alternative to traditional parameter-sweeping or sensitivity analysis techniques. Essentially, the ANN computes the boundaries of the clinically relevant space as a function of the model’s parameterization, eliminating the need for a brute-force exploration of model parameter space. In doing so, we demonstrate the successful development of this ANN which will allows for an efficient exploration of model parameter space

    Robert Sparks Walker diary, 1941

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    Diary authored by Chattanooga author and naturalist, Robert Sparks Walker
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