Digital Commons Network^™

Map-Gan: Unsupervised Learning Of Inverse Problems, Brandon S. Campanella

Master's Theses

In this paper we outline a novel method for training a generative adversarial network based denoising model from an exclusively corrupted and unpaired dataset of images. Our model can learn without clean data or corrupted image pairs, and instead only requires that the noise distribution is able to be expressed analytically and that the noise at each pixel is independent. We utilize maximum a posteriori estimation as the underlying solution framework, optimizing over the analytically expressed noise generating distribution as the likelihood and employ the GAN as the prior. We then evaluate our method on several popular datasets of varying …

Triangular Cosserat Point Element Method For Reducing Soft Tissue Artifact: Validation And Application To Gait, Jake Edward Deschamps, Stephen Klisch

Master's Theses

Human motion capture technology is a powerful tool for advancing the understanding of human motion biomechanics (Andriacchi and Alexander, 2000). This is most readily accomplished by applying retroreflective markers to a participant’s skin and tracking the position of the markers during motion. Skin and adipose tissue move independently of the underlying bone during motion creating error known as soft tissue artifact (STA), the primary source of error in human motion capture (Leardini et al., 2005).

(Solav et al., 2014) proposed and (Solav et al., 2015) expanded the triangular Cosserat point element (TCPE) method to reduce the effect of STA on …

An Analysis Of Camera Configurations And Depth Estimation Algorithms For Triple-Camera Computer Vision Systems, Jared Peter-Contesse

Master's Theses

The ability to accurately map and localize relevant objects surrounding a vehicle is an important task for autonomous vehicle systems. Currently, many of the environmental mapping approaches rely on the expensive LiDAR sensor. Researchers have been attempting to transition to cheaper sensors like the camera, but so far, the mapping accuracy of single-camera and dual-camera systems has not matched the accuracy of LiDAR systems. This thesis examines depth estimation algorithms and camera configurations of a triple-camera system to determine if sensor data from an additional perspective will improve the accuracy of camera-based systems. Using a synthetic dataset, the performance of …

Why Science Is Important To Us All: Identity And Environment, Anita K. Foeman

Sustainability Research & Practice Seminar Presentations

Professor Anita Foeman, Communication and Media - Why Science is Important to Us All: Identity and Environment

Teacher Preparation, Motivation, And Self-Efficacy: A Comparative Study Of New Teachers In Japan And The United States, Shaoan Zhang, Andromeda Hightower, Qingmin Shi

Teaching and Learning Faculty Research

Using the Teaching and Learning International Survey (TALIS) 2018, this study examines U.S. and Japanese new teachers’ initial teacher preparation (ITP), feelings of preparedness, motivations, and self-efficacy. The analysis of 355 U.S. and 433 Japanese new secondary teachers provided several findings. First, ITP in the U.S. more often included teaching in mixed-ability and multicultural settings, cross-curricular skills, and technology than Japan, and U.S. teachers felt more prepared than Japanese teachers in every category of preparation. Second, Japanese teachers were more likely to declare teaching as their first career choice and reportedly scored significantly higher on motivations to become a teacher …

Implementing Big Data Analytics In Marketing Departments: Mixing Organic And Administered Approaches To Increase Data-Driven Decision Making, Devon S. Johnson, Debika Sihi

Department of Marketing Faculty Scholarship and Creative Works

This study examines the experience of marketing departments to become fully data-driven decision-making organizations. We evaluate an organic approach of departmental sensemaking and an administered approach by which top management increase the influence of analytics skilled employees. Data collection commenced with 15 depth interviews of marketing and analytics professionals in the US and Europe involved in the implementation of big data analytics (BDA) and was followed by a survey data of 298 marketing and analytics middle management professionals at United States based firms. The survey data supports the logic that BDA sensemaking is initiated by top management and is comprised …

Study Of Voltage In Stability In Power Systems Using Catastrophe Theory., G. Mahmoud

Mansoura Engineering Journal

Catastrophe theory is a mathematical technique for the qualitative analysis of system equations, defining the jump phenomena and sudden changes caused by smooth changes in the system parameters. This theory has been applied previously to the study of steady state stability of power system. This paper presents a new technique in the area of power system stability studies to describe steady-state voltage stability in terms of one of the catastrophe manifolds to which the power system can be fitted.

Yarn Crimp Ratio In Woven Fabrics Theory And Practice., Hamdy Ebraheem

Mansoura Engineering Journal

Because of the importance of accuracy in measuring and estimating yarn crimp ratio in woven fabrics, non classical methods were searched for. In this paper mathematical formulate were derived to express yarn crimp ratio in terms of weave structure, yarn spacing, and yarn diameter. It is discriminated between floated weaves and extended weaves. In floated weaves yarn spacing is constant and equal to yarn spacing at the point of intersection. In extended weaves, yarns are separated only at points of intersection. To increase accuracy and safe effort and time consumed in measuring yarn crimp ratio is determined by weighing crimped …

[Review Of] What Is A Complex System? By James Ladyman And Karoline Wiesner. New Haven (Connecticut): Yale University Press. $35.00 (Paper). Xi + 169 P.; Ill.; Index. Isbn: 978-0-300-25110-4. 2020., Joseph Robert Burger

Biology Faculty Publications

No abstract provided.

Genomics And Transcriptomics Landscapes Associated To Changes In Insulin Sensitivity In Response To Endurance Exercise Training, Louise Y. Takeshita, Peter K. Davidsen, John M. Herbert, Philipp Antczak, Matthijs K.C. Hesselink, Patrick Schrauwen, S. John Weisnagel, Jeremy M. Robbins, Robert E. Gerszten, Sujoy Ghosh, Mark A. Sarzynski, Claude Bouchard, Francesco Falciani

Division of Basic Science Faculty Publications

Despite good adherence to supervised endurance exercise training (EET), some individuals experience no or little improvement in peripheral insulin sensitivity. The genetic and molecular mechanisms underlying this phenomenon are currently not understood. By investigating genome-wide variants associated with baseline and exercise-induced changes (∆) in insulin sensitivity index (Si) in healthy volunteers, we have identified novel candidate genes whose mouse knockouts phenotypes were consistent with a causative effect on Si. An integrative analysis of functional genomic and transcriptomic profiles suggests genetic variants have an aggregate effect on baseline Si and ∆Si, focused around cholinergic signalling, including downstream calcium and chemokine signalling. …

Campus Community Invited To ‘Meet The Deans’ Of The Gwu College Of Arts & Sciences, Office Of University Communications

Gardner-Webb NewsCenter Archive

The campus community is invited to “Meet the Deans” of the Gardner-Webb University College of Arts & Sciences (CoA&S) on Thursday, Dec. 2, from 3 to 5 p.m. in Tucker Student Center. Dr. Shawn Holt, dean, and Dr. Jennifer Buckner, recently named associate dean, will greet guests and provide information about the CoA&S. Sweet treats and warm beverages will be served, and fun crafts will also be provided.

Influence Of Saltwater Submergence On Geohydraulic Properties Of Sand: A Laboratory Investigation, Sudip Basack, Ghritartha Goswami, Sumanpran Sonowal, Moses Karakouzian

Civil and Environmental Engineering and Construction Faculty Research

Saline water intrusion into freshwater aquifers is a major geohydraulic problem relevant to coastal environment. Apart from contaminating the fresh groundwater resources, the saltwater intrusion alters the geotechnical properties of the aquifer materials, affecting the coastal water resource planning and management. The present study focuses on an in-depth laboratory investigation of the influence of saltwater submergence on the geohydraulic properties of sand. The fine sand sample was submerged under saline water of specified concentrations for specific periods, and the alteration in their engineering properties has been studied. It is observed that the specific gravity, dry density, and permeability of fine …

Characteristics Of Flow Over Rectangular Labyrinth Weirs With Round Corners, Omed S.Q. Yousif, Kawa Z. Abdulrahman, Wazira Qadir, Ahang S. Ali, Moses Karakouzian

Civil and Environmental Engineering and Construction Faculty Research

The hydraulic performance of round-cornered rectangular labyrinth weirs with varying weir heights and effective lengths has not been explored in the existing literature to the authors’ knowledge. The purpose of this experimental study was to see how the height and effective length of round-cornered rectangular labyrinth weirs affect their discharge efficiency. Nine flat-crested rectangular labyrinth weirs made of high-density polyethylene (HDPE) were tested in a rectangular flume under various discharges to fulfill the goals of this study. The discharge coefficients for the weirs were then calculated. The hydraulic efficiency of weirs with round corners increases as the weir height (P) …

Nonperiodic Type I Be/X-Ray Binary Outbursts, Rebecca G. Martin, Alessia Franchini

Physics & Astronomy Faculty Research

Type I Be/X-ray binary outbursts are driven by mass transfer from a Be star decretion disk to a neutron star companion during each orbital period. Treiber et al. recently observed nonperiodic type I outbursts in RX J0529.8-6556 that has unknown binary orbital properties. We show that nonperiodic type I outbursts may be temporarily driven in a low eccentricity binary with a disk that is inclined sufficiently to be mildly unstable to Kozai-Lidov oscillations. The inclined disk becomes eccentric and material is transferred to the neutron star at up to three locations in each orbit: when the neutron star passes the …

A Comparison Of Multiple Machine Learning Algorithms To Predict Whole-Body Vibration Exposure Of Dumper Operators In Iron Ore Mines In India, Rahul Upadhyay, Amrites Senapati, Ashis Bhattacherjee, Aditya Kumar Patra, Snehamoy Chatterjee

Michigan Tech Publications, Part 1

Background: This study deals with some factors that influence the exposure of whole-body vibration (WBV) of dumper operators in surface mines. The study also highlights the approach to improve the multivariate linear analysis outcomes when collinearity exists between certain factor pairs.

Material and Methods: A total number of 130 vibration readings was taken from two adjacent surface iron ore mines. The frequency-weighted RMS acceleration was used for the WBV exposure assessment of the dumper operators. The factors considered in this study are age, weight, seat backrest height, awkward posture, the machine age, load tonnage, dumper speed and haul …

Data Of The Constructivist Practices In The Learning Environment Survey From Engineering Undergraduates: An Exploratory Factor Analysis, Chengcheng Li, Shaoan Zhang, Tiberio Garza, Yingtao Jiang

Teaching and Learning Faculty Research

This paper presents the dataset of a questionnaire on first-year engineering undergraduates’ perceptions of constructivist practices in the learning environment. The questionnaire with a 5-Likert scale was adapted from previous research. The sample consisted of 293 first-year engineering undergraduates in the southwest region of the United States. The online questionnaire was sent to participants who completed it voluntarily at the end of Fall 2019. A total of 274 of 293 participants completed the questionnaire with a response rate of 93.515%. Exploratory factor analysis was conducted to test the underlying factor structure of the questionnaire, which serves as a good reference …

Design And Performance Characterization Of A Water Propellant Resistojet Thruster, Sean M. Weathersby

Theses and Dissertations

Secondary payloads, such as CubeSats, are being increasingly used by the US Department of Defense in the role of defense capability enhancement, and these increasingly complex defense missions can require extended lifespans that result in the need for a thruster. While many thruster options exist, characteristics such as propellant toxicity, complexity, and low performance limit many viable solutions. However, a potential answer that satisfies these thruster limitations is found in electrothermals, specifically the resistojet. The research presented here represents the first attempt to construct a 1U water-propellant resistojet thruster design and establish an initial characterization through evaluation of various performance …

Culture And Economics: A Literature Review, Faith Howard

Honors Capstones

No abstract provided.

An Argument For The Second Nuclear Era: Salvaging The Atomic Age In Response To Climate Change, Ian Sager

Honors Capstones

No abstract provided.

College Of Natural Sciences Newsletter, December 2021, College Of Natural Sciences

College of Natural Sciences Newsletters and Reports

Volume 2, Issue 12

Page 1 Dean's Message
Page 2 Awards & Recognition
Page 2 Media Coverage of CNS
Page 3 Media Coverage Cont.
Page 4 Science as Art Competition
Page 5 Open PRAIRIE Data
Page 5 Grants Awarded in CNS

Mb4t (Mathematics By And For Teachers): Order Of Operations, Jennifer Holm

Education Faculty Publications

No abstract provided.

A Gravitational-Wave Measurement Of The Hubble Constant Following The Second Observing Run Of Advanced Ligo And Virgo (Vol 908, 218, 2021), B. P. Abbott, R. Abbott, T. D. Abbott

Faculty Publications

No abstract provided.

Multi-Scale Feedback And Feeding In The Closest Radio Galaxy Centaurus A, B. Mckinley, S. J. Tingay, M. Gaspari, R. P. Kraft, C. Matherne, A. R. Offringa, M. Mcdonald, M. S. Calzadilla, S Veilleux, S. S. Shabala, S. D. J. Gwyn, J. Bland-Hawthorn, D. Crnojevic, B. M. Gaensler, M. Johnston-Hollitt

Faculty Publications

Supermassive black holes and supernova explosions at the centres of active galaxies power cycles of outflowing and inflowing gas that affect galactic evolution and the overall structure of the Universe(1,2). While simulations and observations show that this must be the case, the range of physical scales (over ten orders of magnitude) and paucity of available tracers make both the simulation and observation of these effects difficult(3,4). By serendipity, there lies an active galaxy, Centaurus A (NGC 5128)(5,6), at such a close proximity as to allow its observation over this entire range of scales and across the entire electromagnetic spectrum. In …

Deep Underground Neutrino Experiment (Dune) Near Detector Conceptual Design Report, A. Abed Abud, B. Abi, R. Acciarri, M. A. Acero, G. Adamov, D. Adams, M. Adinolfi, A. Aduszkiewicz, Z. Ahmad, J. Ahmed, T. Alion, S. Alonso Monsalve, M. Alrashed, C. Alt, A. Alton, P. Amedo, J. Anderson, C. Andreopoulos, M. P. Andrews, F. Andrianala, S. Andringa, N. Anfimov, A. Ankowski, M. Antonova, S. Antusch, A. Aranda-Fernandez, A. Ariga, L. O. Arnold, M. A. Arroyave, J. Asaadi, A. Aurisano, V. Aushev, D. Autiero

Faculty Publications

The Deep Underground Neutrino Experiment (DUNE) is an international, world-class experiment aimed at exploring fundamental questions about the universe that are at the forefront of astrophysics and particle physics research. DUNE will study questions pertaining to the preponderance of matter over antimatter in the early universe, the dynamics of supernovae, the subtleties of neutrino interaction physics, and a number of beyond the Standard Model topics accessible in a powerful neutrino beam. A critical component of the DUNE physics program involves the study of changes in a powerful beam of neutrinos, i.e., neutrino oscillations, as the neutrinos propagate a long distance. …

Spatial Cluster Detection With Threshold Quantile Regression, Junho Lee, Ying Sun, Huixia Judy Wang

Faculty Publications

Spatial cluster detection, which is the identification of spatial units adjacent in space associated with distinctive patterns of data of interest relative to background variation, is useful for discerning spatial heterogeneity in regression coefficients. Some real studies with regression-based models on air quality data show that there exists not only spatial heterogeneity but also heteroscedasticity between air pollution and its predictors. Since the low air quality is a well-known risk factor for mortality, various cardiopulmonary diseases, and preterm birth, the analysis at the tail would be of more interest than the center of air pollution distribution. In this article, we …

Diving Beneath The Sea Of Stellar Activity: Chromatic Radial Velocities Of The Young Au Mic Planetary System, Bryson Cale, Michael Reefe, Peter Plavchan, Angelle Tanner, Eric Gaidos, Jonathan Gagne, Peter Gao, Stephen R. Kane, Victor J. S. Bejar, Nicolas Lodieu, Guillem Anglada-Escude, Ignasi Ribas, Enric Palle, Andreas Quirrenbach, Pedro Amado, Ansgar Reiners, Jose A. Caballero, Maria Rosa Zapatero Osorio, Stefan Dreizler, Andrew W. Howard, Benjamin J. Fulton, Sharon Xuesong Wang, Kevin I. Collins, Mohammed El Mufti, Justin Wittrock, Emily A. Gilbert, Thomas Barclay, Baptiste Klein, Eder Martioli, Robert Wittenmyer, Duncan Wright, Brett Addison, Teruyuki Hirano, Motohide Tamura, Takayuki Kotani, Norio Narita, David Vermilion, Rena A. Lee, Claire Geneser, Johanna Teske, Samuel N. Quinn, David W. Latham, Gilbert A. Esquerdo, Michael L. Calkins, Perry Berlind, Farzaneh Zohrabi, Caitlin Stibbards, Srihan Kotnana, Jon Jenkins, Joseph D. Twicken, Christopher Henze, Richard Kidwell, Jr., Christopher Burke, Joel Villasenor, Patricia Boyd

Faculty Publications

We present updated radial-velocity (RV) analyses of the AU Mic system. AU Mic is a young (22 Myr) early-M dwarf known to host two transiting planets-P-b similar to 8.46 days, R-b = 4.381(-0.18)(+0.18) R-circle plus, P-c similar to 18.86 days, R-c = 3.5(-0.16)(+0.16) R-circle plus. With visible RVs from Calar Alto high-Resolution search for M dwarfs with Exo-earths with Near-infrared and optical echelle Spectrographs (CARMENES)-VIS, CHIRON, HARPS, HIRES, MINERVA-Australis, and Tillinghast Reflector Echelle Spectrograph, as well as near-infrared (NIR) RVs from CARMENES-NIR, CSHELL, IRD, iSHELL, NIRSPEC, and SPIRou, we provide a 5 sigma upper limit to the mass of AU …

Search For Lensing Signatures In The Gravitational-Wave Observations From The First Half Of Ligo-Virgo's Third Observing Run, R. Abbott, T. D. Abbott

Faculty Publications

We search for signatures of gravitational lensing in the gravitational-wave signals from compact binary coalescences detected by Advanced Laser Interferometer Gravitational-wave Observatory (LIGO) and Advanced Virgo during O3a, the first half of their third observing run. We study: (1) the expected rate of lensing at current detector sensitivity and the implications of a non-observation of strong lensing or a stochastic gravitational-wave background on the merger-rate density at high redshift; (2) how the interpretation of individual high-mass events would change if they were found to be lensed; (3) the possibility of multiple images due to strong lensing by galaxies or galaxy …

A Deep Learning Framework Identifies Dimensional Representations Of Alzheimer’S Disease From Brain Structure, Zhijian Yang, Ilya M. Nasrallah, Haochang Shou, Junhao Wen, Jimit Doshi, Mohamad Habes, Guray Erus, Ahmed Abdulkadir, Susan M. Resnick, Marilyn S. Albert, Paul Maruff, Jurgen Fripp, John C. Morris, David A. Wolk, Christos Davatzikos, Yong Fan, Vishnu Bashyam, Elizabeth Mamouiran, Randa Melhem, Raymond Pomponio, Dushyant Sahoo, Singh Ashish, Ioanna Skampardoni, Lasya Sreepada, Dhivya Srinivasan, Fanyang Yu, Sindhuja Govindarajan Tirumalai, Yuhan Cui, Zhen Zhou, Katharina Wittfeld, Hans J. Grabe, Duygun Tosun, Murat Bilgel, Yang An

Clinical Research Faculty Publications

Heterogeneity of brain diseases is a challenge for precision diagnosis/prognosis. We describe and validate Smile-GAN (SeMI-supervised cLustEring-Generative Adversarial Network), a semi-supervised deep-clustering method, which examines neuroanatomical heterogeneity contrasted against normal brain structure, to identify disease subtypes through neuroimaging signatures. When applied to regional volumes derived from T1-weighted MRI (two studies; 2,832 participants; 8,146 scans) including cognitively normal individuals and those with cognitive impairment and dementia, Smile-GAN identified four patterns or axes of neurodegeneration. Applying this framework to longitudinal data revealed two distinct progression pathways. Measures of expression of these patterns predicted the pathway and rate of future neurodegeneration. Pattern expression …

Evaluating Deep-Learning Models For Debris-Covered Glacier Mapping, Zhiyuan Xie, Vijayan K. Asari, Umesh K. Haritashya

Electrical and Computer Engineering Faculty Publications

In recent decades, mountain glaciers have experienced the impact of climate change in the form of accelerated glacier retreat and other glacier-related hazards such as mass wasting and glacier lake outburst floods. Since there are wide-ranging societal consequences of glacier retreat and hazards, monitoring these glaciers as accurately and repeatedly as possible is important. However, the accurate glacier boundary, especially the debriscovered glacier (DCG) boundary, which is one of the primary inputs in many glacier analyses, remains a challenge even after many years of research using conventional remote sensing methods or machine-learning methods. The GlacierNet, a deep-learning-based approach, utilized the …

A Tighter Constraint On Earth-System Sensitivity From Long-Term Temperature And Carbon-Cycle Observations, Tony E. Wong, Ying Cui, Dana L. Royer, Klaus Keller

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

The long-term temperature response to a given change in CO2 forcing, or Earth-system sensitivity (ESS), is a key parameter quantifying our understanding about the relationship between changes in Earth’s radiative forcing and the resulting long-term Earth-system response. Current ESS estimates are subject to sizable uncertainties. Long-term carbon cycle models can provide a useful avenue to constrain ESS, but previous efforts either use rather informal statistical approaches or focus on discrete paleoevents. Here, we improve on previous ESS estimates by using a Bayesian approach to fuse deep-time CO2 and temperature data over the last 420 Myrs with a long-term carbon cycle …