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Hybrid statistical and mechanistic mathematical model guides mobile health intervention for chronic pain
Description: Nearly a quarter of visits to the Emergency Department are for conditions that could have been managed via outpatient treatment; improvements that allow patients to quickly recognize and receive appropriate treatment are crucial. The growing popularity of mobile technology creates new opportunities for real-time adaptive medical intervention, and the simultaneous growth of ``big data'' sources allows for preparation of personalized recommendations. Here we focus on the reduction of chronic suffering in the sickle cell disease community. Sickle cell disease is a chronic blood disorder in which pain is the most frequent complication. There currently is no standard algorithm or analytical method for real-time adaptive treatment recommendations for pain. Furthermore, current state-of-the-art methods have difficulty in handling continuous-time decision optimization using big data. Facing these challenges, in this study we aim to develop new mathematical tools for incorporating mobile technology into personalized treatment plans for pain. We present a new hybrid model for the dynamics of subjective pain that consists of a dynamical systems approach using differential equations to predict future pain levels, as well as a statistical approach tying system parameters to patient data (both personal characteristics and medication response history). Pilot testing of our approach suggests that it has significant potential to predict pain dynamics given patients' reported pain levels and medication usages. With more abundant data, our hybrid approach should allow physicians to make personalized, data driven recommendations for treating chronic pain. Keyword: opioid, statistical model, dynamical system, clinical trial, chronic pain, optimization, sickle cell disease, mobile health, and prediction Creator: Clifton, Sara M. Contributor: Abrams, Daniel M. Owner: Sara Melinda Clifton Date Uploaded: 06/06/2017 Date Modified: 06/06/2017 Rights: All rights reserved Resource Type: Dataset Identifier: https://doi.org/10.21985/N24S3T, doi:10.21985/N24S3T -
Creep Database v1.1
Description: An .xls file with data for the project on "Minimizing Shrinkage, Creep and Cracking Damage to Concrete Bridges (A423, A447)", 2010. Keyword: Dataset Creator: Kyung-Tae Kim Owner: Nurganym Agzamova Publisher: Northwestern University Libraries Language: English Date Uploaded: 06/22/2017 Date Modified: 08/14/2017 Date Created: 2010 Rights: All rights reserved Resource Type: Dataset -
Database of Slender Beam with Stirrups
Description: An .xls file with data for the project on "Minimizing Shrinkage, Creep and Cracking Damage to Concrete Bridges (A423, A447)", 2010. Keyword: Dataset Creator: Qiang Yu Owner: Nurganym Agzamova Publisher: Northwestern University Libraries Language: English Date Uploaded: 06/22/2017 Date Modified: 08/14/2017 Date Created: 2010 Rights: All rights reserved Resource Type: Dataset -
Relaxation Database v1.1
Description: An .xls file with data for the project on "Minimizing Shrinkage, Creep and Cracking Damage to Concrete Bridges (A423, A447)", 2010. Keyword: Dataset Creator: Kyung-Tae Kim Owner: Nurganym Agzamova Publisher: Northwestern University Libraries Language: English Date Uploaded: 06/22/2017 Date Modified: 08/14/2017 Date Created: 2010 Rights: All rights reserved Resource Type: Dataset -
"Comprehensive Database on Concrete Creep and Shrinkage". Structural Engineering Report No. 08-3/A210c.
Description: A .rar folder with data files for the project on "Minimizing Shrinkage, Creep and Cracking Damage to Concrete Bridges", 2010. Keyword: Dataset Creator: Zdenek P. Bazant and Guang-Hua Li Owner: Nurganym Agzamova Publisher: Northwestern University Libraries Language: English Date Uploaded: 06/22/2017 Date Modified: 08/14/2017 Date Created: 2008 Rights: All rights reserved Resource Type: Dataset -
Light-Responsive Organic Flashing Electron Ratchet - datasets
Keyword: organic semiconductor, charge transport, ratchet, and non-equilibrium Creator: Emily A. Weiss, Bryan Lau, Ofer Kedem, and Mark A. Ratner Owner: Ofer Kedem Publisher: National Academy of Sciences of the United States of America Language: English Date Uploaded: 07/05/2017 Date Modified: 07/31/2017 Rights: Attribution-NonCommercial 3.0 United States Resource Type: Dataset Identifier: https://doi.org/10.21985/N2KD32 -
Bioinformatics Analysis of Top-Down Mass Spectrometry Data
Description: Traditional bottom-up mass spectrometry-based proteomics relies on the use of an enzyme, often trypsin, to generate small peptides (typically < 25 amino acids long). In top-down proteomics, proteins remain intact and are directly measured within the mass spectrometer. This technique, while inherently simpler than bottom-up proteomics, generates data which must be processed and analyzed using software tools “purpose-built” for the job. In this chapter, we will show the analysis of proteins from deconvolution and deisotoping through analysis with ProSight Lite, a free, vendor agnostic tool for the analysis of top-down mass spectrometry data. We will illustrate with two examples of intact protein spectra and discuss the iterative use of the software to characterize proteoforms and to discover the sites of post-translational modifications. Keyword: Bioinformatics, Top-down, ProSight Lite, Proteomics, Intact protein, and Mass spectrometry Creator: Luca Fornelli, Caroline J DeHart, Ryan T Fellers, Neil L Kelleher, and Paul M Thomas Depositor: Joseph Brent Greer Owner: Proteomics Center Of Excellence Publisher: Springer Date Uploaded: 08/03/2017 Date Modified: 08/07/2017 Date Created: 2017-02-02 Rights: Attribution-NonCommercial-NoDerivs 3.0 United States Resource Type: Dataset Identifier: doi:10.21985/N2Q07P -
Computational design of Small Transcription Activating RNAs (STARs) for versatile and dynamic gene regulation
Description: A longstanding goal of synthetic biology has been the programmable control of cellular functions. Central to this is the creation of versatile regulatory toolsets that allow for programmable control of gene expression. Of the many regulatory molecules available, RNA regulators offer the intriguing possibility of de novo design – allowing for the bottom-up molecular-level design of genetic control systems. Here we present a computational design approach for the creation of a bacterial regulator called Small Transcription Activating RNAs (STARs) and create a library of high-performing and orthogonal STARs that achieve up to ~9000-fold gene activation. We demonstrate the versatility of these STARs – from acting synergistically with existing constitutive and inducible regulators, to reprogramming cellular phenotypes and controlling multigene metabolic pathway expression. Finally, we combine these new STARs with themselves and CRISPRi transcriptional repressors to deliver new types of RNA-based genetic circuitry that allow for sophisticated and temporal control of gene expression. Nature Communications, 2017 Keyword: RNA engineering, synthetic biology, transcription, gene regulation, and RNA Subject: Synthetic Biology and RNA engineering Creator: Julius B. Lucks, James Chappell, Matthew Verosloff, and Alexandra Westbrook Owner: Julius Beau Lucks Publisher: MacMillan Publishers Language: English Date Uploaded: 08/03/2017 Date Modified: 08/16/2017 Date Created: 2017-08-03 Rights: Attribution 3.0 United States Resource Type: Dataset Identifier: doi:10.21985/N28S9B -
The tipping point: a mathematical model for the profit-driven abandonment of restaurant tipping
Description: The custom of voluntarily tipping for services rendered has gone in and out of fashion in America since its introduction in the 19th century. Restaurant owners that ban tipping in their establishments often claim that social justice drives their decisions, but we show that rational profit-maximization may also justify the decisions. Here, we propose a conceptual model of restaurant competition for staff and customers, and we show that there exists a critical conventional tip rate at which restaurant owners should eliminate tipping to maximize profit. Because the conventional tip rate has been increasing steadily for the last several decades, our model suggests that restaurant owners may abandon tipping en masse when that critical tip rate is reached. Keyword: dynamical system, gratuity, tipping, restaurant, and mathematical model Creator: Clifton, Sara M. Owner: Sara Melinda Clifton Date Uploaded: 08/07/2017 Date Modified: 02/06/2018 Rights: Attribution-NonCommercial 3.0 United States Resource Type: Dataset -
How to drive a flashing electron ratchet to maximize current - datasets
Keyword: temporal modulation, organic semiconductor, charge transport, non-equilibrium, Brownian motor, and ratchet Creator: Emily A. Weiss, Bryan Lau, and Ofer Kedem Owner: Ofer Kedem Date Uploaded: 08/14/2017 Date Modified: 02/06/2018 Rights: Attribution-NonCommercial 3.0 United States Resource Type: Dataset