Facilitating Student Engagement Research: A Historical Analogy For Understanding And Applying Naturalistic Inquiry,
2017
Western Carolina University
Facilitating Student Engagement Research: A Historical Analogy For Understanding And Applying Naturalistic Inquiry, Lane G. Perry Iii, April Perry
Journal of Research Initiatives
This paper offers a historical theoretical discussion and practical perspective on the qualitative paradigm of inquiry referred to as Naturalistic Inquiry (Lincoln & Guba, 1985). Moreover, it endeavors to demonstrate the paradigm’s versatility and usefulness when attempting to illuminate phenomena that specifically occur when students experience and interact with engaging, innovative, and experientially based pedagogies (e.g., service-learning, work-integrated learning, community-based learning). This paper presents and paradigmatically supports the researchers’ worldview through a logical primacy and discussion of ontological, epistemological, axiological, and methodological perspectives (Guba & Lincoln, 2001). Following this, Naturalistic Inquiry is identified as a paradigm of inquiry that aligns …
The Performance Of Multilevel Structural Equation Modeling (Msem) In Comparison To Multilevel Modeling (Mlm) In Multilevel Mediation Analysis With Non-Normal Data,
2017
University of South Florida
The Performance Of Multilevel Structural Equation Modeling (Msem) In Comparison To Multilevel Modeling (Mlm) In Multilevel Mediation Analysis With Non-Normal Data, Thanh Vinh Pham
USF Tampa Graduate Theses and Dissertations
The mediation analysis has been used to test if the effect of one variable on another variable is mediated by the third variable. The mediation analysis answers a question of how a predictor influences an outcome variable. Such information helps to gain understanding of mechanism underlying the variation of the outcome. When the mediation analysis is conducted on hierarchical data, the structure of data needs to be taken into account. Krull and MacKinnon (1999) recommended using Multilevel Modeling (MLM) with nested data and showed that the MLM approach has more power and flexibility over the standard Ordinary Least Squares (OLS) …
Bayesian Inference On Quantile Regression-Based Mixed-Effects Joint Models For Longitudinal-Survival Data From Aids Studies,
2017
University of South Florida
Bayesian Inference On Quantile Regression-Based Mixed-Effects Joint Models For Longitudinal-Survival Data From Aids Studies, Hanze Zhang
USF Tampa Graduate Theses and Dissertations
In HIV/AIDS studies, viral load (the number of copies of HIV-1 RNA) and CD4 cell counts are important biomarkers of the severity of viral infection, disease progression, and treatment evaluation. Recently, joint models, which have the capability on the bias reduction and estimates' efficiency improvement, have been developed to assess the longitudinal process, survival process, and the relationship between them simultaneously. However, the majority of the joint models are based on mean regression, which concentrates only on the mean effect of outcome variable conditional on certain covariates. In fact, in HIV/AIDS research, the mean effect may not always be of …
Which Factors Influence Student Success In Intermediate Algebra, Math 101-102-103?,
2017
University of New Mexico
Which Factors Influence Student Success In Intermediate Algebra, Math 101-102-103?, Linh T. Ward
Mathematics & Statistics ETDs
At The University of New Mexico (UNM), Intermediate Algebra (MATH 120 and MATH 101-102-103) has historically been a so-called “killer course”, with very low pass rates: approximately 40% in Fall 2009 to Spring 2011 and about 50% from Fall 2011 to Spring 2013. Furthermore, many students failed the class multiple times. Since 2013, a computer system called ALEKS has been used to teach the course and, along with some additional interventions, on Albuquerque/Main campus success rates for MATH 101 have increased to roughly 80% and MATH 102 to about 70%. This thesis provides a strategy to identify those 20-30% as-risk …
Reducing Symptom Distress In Patients With Advanced Cancer Using An E-Alert System For Caregivers: Pooled Analysis Of Two Randomized Clinical Trials,
2017
University of Wisconsin - Madison
Reducing Symptom Distress In Patients With Advanced Cancer Using An E-Alert System For Caregivers: Pooled Analysis Of Two Randomized Clinical Trials, David H. Gustafson, Lori L. Dubenske, Amy K. Atwood, Ming-Yuan Chih, Roberta A. Johnson, Fiona Mctavish, Andrew Quanbeck, Roger L. Brown, James F. Cleary, Dhavan Shah
Health and Clinical Sciences Faculty Publications
Background: Symptom distress in patients toward the end of life can change rapidly. Family caregivers have the potential to help patients manage those symptoms, as well as their own stress, if they are equipped with the proper resources. Electronic health (eHealth) systems may be able to provide those resources. Very sick patients may not be able to use such systems themselves to report their symptoms but family caregivers could.
Objective: The aim of this paper was to assess the effects on cancer patient symptom distress of an eHealth system that alerts clinicians to significant changes in the patient’s symptoms, as …
Improving Service Level Of Free-Floating Bike Sharing Systems,
2017
University of South Florida
Improving Service Level Of Free-Floating Bike Sharing Systems, Aritra Pal
USF Tampa Graduate Theses and Dissertations
Bike Sharing is a sustainable mode of urban mobility, not only for regular commuters but also for casual users and tourists. Free-floating bike sharing (FFBS) is an innovative bike sharing model, which saves on start-up cost, prevents bike theft, and offers significant opportunities for smart management by tracking bikes in real-time with built-in GPS. Efficient management of a FFBS requires: 1) analyzing its mobility patterns and spatio-temporal imbalance of supply and demand of bikes, 2) developing strategies to mitigate such imbalances, and 3) understanding the causes of a bike getting damaged and developing strategies to minimize them. All of these …
Statistical Analysis And Modeling Of Stomach Cancer Data,
2017
University of South Florida
Statistical Analysis And Modeling Of Stomach Cancer Data, Chao Gao
USF Tampa Graduate Theses and Dissertations
The objective of this study is to address some important questions associated with stomach cancer patients using the data from the Surveillance Epidemiology and End Results (SEER) program of the United States. To better understand the behavior of stomach cancer, we first perform parametric analysis for each patient group (white male, white female, African American male, African American female, other male and female) to identify the probability distribution function which can best characterize the behavior of the malignant stomach tumor sizes. We evaluate the effects of patients’ age, gender and race on the malignant stomach tumor sizes by developing quantile …
An Enhanced Bridge Weigh-In-Motion Methodology And A Bayesian Framework For Predicting Extreme Traffic Load Effects Of Bridges,
2017
Louisiana State University and Agricultural and Mechanical College
An Enhanced Bridge Weigh-In-Motion Methodology And A Bayesian Framework For Predicting Extreme Traffic Load Effects Of Bridges, Yang Yu
LSU Doctoral Dissertations
In the past few decades, the rapid growth of traffic volume and weight, and the aging of transportation infrastructures have raised serious concerns over transportation safety. Under these circumstances, vehicle overweight enforcement and bridge condition assessment through structural health monitoring (SHM) have become critical to the protection of the safety of the public and transportation infrastructures. The main objectives of this dissertation are to: (1) develop an enhanced bridge weigh-in-motion (BWIM) methodology that can be integrated into the SHM system for overweight enforcement and monitoring traffic loading; (2) present a Bayesian framework to predict the extreme traffic load effects (LEs) …
Perfect Ratings With Negative Comments: Learning From Contradictory Patient Survey Responses,
2017
DePaul University
Perfect Ratings With Negative Comments: Learning From Contradictory Patient Survey Responses, Andrew S. Gallan, Marina Girju, Roxana Girju
Patient Experience Journal
This research explores why patients give perfect domain scores yet provide negative comments on surveys. In order to explore this phenomenon, vendor-supplied in-patient survey data from eleven different hospitals of a major U.S. health care system were utilized. The dataset included survey scores and comments from 56,900 patients, collected from January 2015 through October 2016. Of the total number of responses, 30,485 (54%) contained at least one comment. For our analysis, we use a two-step approach: a quantitative analysis on the domain scores augmented by a qualitative text analysis of patients’ comments. To focus the research, we start by building …
Convergence Analysis And Error Estimates For A Second Order Accurate Finite Element Method For The Cahn–Hilliard–Navier–Stokes System,
2017
Missouri University of Science and Technology
Convergence Analysis And Error Estimates For A Second Order Accurate Finite Element Method For The Cahn–Hilliard–Navier–Stokes System, Amanda E. Diegel, Cheng Wang, Xiaoming Wang, Steven M. Wise
Mathematics and Statistics Faculty Research & Creative Works
In this paper, we present a novel second order in time mixed finite element scheme for the Cahn–Hilliard–Navier–Stokes equations with matched densities. the scheme combines a standard second order Crank–Nicolson method for the Navier–Stokes equations and a modification to the Crank–Nicolson method for the Cahn–Hilliard equation. in particular, a second order Adams-Bashforth extrapolation and a trapezoidal rule are included to help preserve the energy stability natural to the Cahn–Hilliard equation. We show that our scheme is unconditionally energy stable with respect to a modification of the continuous free energy of the PDE system. Specifically, the discrete phase variable is shown …
“Everyday” Knowledge And A New Paradigm Of Animal Research,
2017
University of British Columbia
“Everyday” Knowledge And A New Paradigm Of Animal Research, David Fraser, Jeffrey M. Spooner, Catherine A. Schuppli
Validation of Animal Experimentation Collection
Commentary on Marino and Allen (2017) The Psychology of Cows
Propagation Of Probabilistic Uncertainty: The Simplest Case (A Brief Pedagogical Introduction),
2017
The University of Texas at El Paso
Propagation Of Probabilistic Uncertainty: The Simplest Case (A Brief Pedagogical Introduction), Olga Kosheleva, Vladik Kreinovich
Departmental Technical Reports (CS)
The main objective of this text is to provide a brief introduction to formulas describing the simplest case of propagation of probabilistic uncertainty -- for students who have not yet taken a probability course.
Angioarchitectures And Hemodynamic Characteristics Of Posterior Communicating Artery Aneurysms And Their Association With Rupture Status,
2017
Montclair State University
Angioarchitectures And Hemodynamic Characteristics Of Posterior Communicating Artery Aneurysms And Their Association With Rupture Status, Bong Jae Chung, Ravi Doddasomayajula, Fernando Mut, Felicitas Detmer, Michael Pritz, Farid Hamzei-Sichani, Waleed Brinjikji, David F. Kallmes, Carlos M. Jimenez, Christopher Putman, Juan Cebral
Department of Applied Mathematics and Statistics Faculty Scholarship and Creative Works
BACKGROUND AND PURPOSE: Intracranial aneurysms originating at the posterior communicating artery are known to have high rupture risk compared with other locations. We tested the hypothesis that different angioarchitectures (ie, branch point configuration) of posterior communicating artery aneurysms are associated with aneurysm hemodynamics, which in turn predisposes aneurysms to rupture.
MATERIALS AND METHODS: A total of 313 posterior communicating artery aneurysms (145 ruptured, 168 unruptured) were studied with image-based computational fluid dynamics. Aneurysms were classified into different angioarchitecture types depending on the location of the aneurysm with respect to parent artery bifurcation. Hemodynamic characteristics were compared between ruptured and unruptured …
Investigation Of Neutron Induced Ternary Fission With The Niffte Time Projection Chamber,
2017
California Polytechnic State University, San Luis Obispo
Investigation Of Neutron Induced Ternary Fission With The Niffte Time Projection Chamber, Alex C. Kemnitz
Physics
Ternary fission is a rare occurrence in which three particles are produced from a single fission event. This analysis uses tracked fission event data recorded by NIFFTE’s time projection chamber with a series of refined cuts to isolate all possible ternary events. The experiment used two targets, each consisting of two isotopes; one target was Pu-239 and U-235, and the other was U-238 and U-235. The data was used to measure the ternary/binary fission ratios for each isotope. The ratios for the Pu-239 and U-235 target that were found are shown to be too high due to alpha contamination. The …
Enrichment Of Putatively Damaging Rare Variants In The Dyx2 Locus And The Reading-Related Genes Ccdc136 And Flnc,
2017
Yale University
Enrichment Of Putatively Damaging Rare Variants In The Dyx2 Locus And The Reading-Related Genes Ccdc136 And Flnc, Andrew K. Adams, Shelley D. Smith, Dongnhu T. Truong, Erik G. Willcutt, Richard K. Olson, John C. Defries, Bruce F. Pennington, Jeffrey R. Gruen
Psychology: Faculty Scholarship
Eleven loci with prior evidence for association with reading and language phenotypes were sequenced in 96 unrelated subjects with significant impairment in reading performance drawn from the Colorado Learning Disability Research Center collection. Out of 148 total individual missense variants identified, the chromosome 7 genes CCDC136 and FLNC contained 19. In addition, a region corresponding to the well-known DYX2 locus for RD contained 74 missense variants. Both allele sets were filtered for a minor allele frequency ≤0.01 and high Polyphen-2 scores. To determine if observations of these alleles are occurring more frequently in our cases than expected by chance in …
Interproximal Distance Analysis Of Stereolithographic Casts Made By Cad-Cam Technology: An In Vitro Study,
2017
Marquette University
Interproximal Distance Analysis Of Stereolithographic Casts Made By Cad-Cam Technology: An In Vitro Study, Melanie Hoffman, Seok-Hwan Cho, Naveen K. Bansal
Mathematics, Statistics and Computer Science Faculty Research and Publications
Statement of problem
The accuracy of interproximal distances of the definitive casts made by computer-aided design and computer-aided manufacturing (CAD-CAM) technology is not yet known.
Purpose
The purpose of this in vitro study was to compare the interproximal distances of stereolithographic casts made by CAD-CAM technology with those of stone casts made by the conventional method.
Material and methods
Dentoform teeth were prepared for a single ceramic crown on the maxillary left central incisor, a 3-unit fixed dental prosthesis (FDP) on the second premolar for a metal-ceramic crown, and a maxillary right first molar for a metal crown. Twenty digital …
Using Multilevel Outcomes To Construct And Select Biomarker Combinations For Single-Level Prediction,
2017
University of Washington, Seattle
Using Multilevel Outcomes To Construct And Select Biomarker Combinations For Single-Level Prediction, Allison Meisner, Chirag R. Parikh, Kathleen F. Kerr
UW Biostatistics Working Paper Series
Biomarker studies may involve a multilevel outcome, such as no, mild, or severe disease. There is often interest in predicting one particular level of the outcome due to its clinical significance. The standard approach to constructing biomarker combinations in this context involves dichotomizing the outcome and using a binary logistic regression model. We assessed whether information can be usefully gained from instead using more sophisticated regression methods. Furthermore, it is often necessary to select among several candidate biomarker combinations. One strategy involves selecting a combination on the basis of its ability to predict the outcome level of interest. We propose …
Constructing A Confidence Interval For The Fraction Who Benefit From Treatment, Using Randomized Trial Data,
2017
Johns Hopkins University School of Public Health, Department of Biostatistics
Constructing A Confidence Interval For The Fraction Who Benefit From Treatment, Using Randomized Trial Data, Emily J. Huang, Ethan X. Fang, Daniel F. Hanley, Michael Rosenblum
Johns Hopkins University, Dept. of Biostatistics Working Papers
The fraction who benefit from treatment is the proportion of patients whose potential outcome under treatment is better than that under control. Inference on this parameter is challenging since it is only partially identifiable, even in our context of a randomized trial. We propose a new method for constructing a confidence interval for the fraction, when the outcome is ordinal or binary. Our confidence interval procedure is pointwise consistent. It does not require any assumptions about the joint distribution of the potential outcomes, although it has the flexibility to incorporate various user-defined assumptions. Unlike existing confidence interval methods for partially …
Dodrant-Homomorphic Encryption For Cloud Databases Using Table Lookup,
2017
Marquette University
Dodrant-Homomorphic Encryption For Cloud Databases Using Table Lookup, Thomas Schwarz
Mathematics, Statistics and Computer Science Faculty Research and Publications
Users of large commercial databases increasingly want to outsource their database operations to a cloud service providers, but guaranteeing the privacy of data in an outsourced database has become the major obstacle to this move. Encrypting all data solves the privacy issue, but makes many operations on the data impossible in the cloud, unless the service provider has the capacity to decrypt data temporarily. Homomorphic encryption would solve this issue, but despite great and on-going progress, it is still far from being operationally feasible. In 2015, we presented what we now call dodrant-homomorphic encryption, a method that encrypts numeric values …
Correct Model Selection In Multiple Regression Analyses Of Big Data,
2017
University of Kentucky
Correct Model Selection In Multiple Regression Analyses Of Big Data, Katherine L. Thompson
Commonwealth Computational Summit
Goals:
- Improve statistical modeling in a variety of application areas
- Correctly identify the relationships present in data sets
- Understand the difficulty in choosing the correct statistical model in big data
