Digital Commons Network^™

Evaluating The Effectiveness Of Query-Document Clustering Using The Qdsm Measure, C Guti´Errez-Soto, M Palomino, A Curiel, Her Cerda, Fb Rain

School of Engineering, Computing and Mathematics

No abstract provided.

Galectin-1 Improves Sarcolemma Repair And Decreases The Inflammatory Response In Lgmd2b Models, Matthew F. Rathgeber

Theses and Dissertations

Limb-girdle muscular dystrophy type 2B (LGMD2B) is caused by mutations in the dysferlin gene, resulting in non-functional dysferlin, a key protein found in muscle membrane. Treatment options available for patients are chiefly palliative in nature and focus on maintaining ambulation. Our hypothesis is that galectin-1 (Gal-1), a soluble carbohydrate binding protein, increases membrane repair capacity, myogenic potential, M2 macrophage polarization and decreases NF-κB inflammation in dysferlin-deficient models. To test this hypothesis, we used recombinant human galectin-1 (rHsGal-1) to treat dysferlin-deficient models. We show that rHsGal-1 treatments of 48 h-72 h promotes myogenic maturation as indicated through improvements in size, myotube …

Eigenvalues Of Differential Operators And Nontrivial Zeros Of L-Functions, Dongsheng Wu

Theses and Dissertations

The Hilbert-P\'olya conjecture asserts that the non-trivial zeros of the Riemann zeta function $\zeta(s)$ correspond (in a certain canonical way) to the eigenvalues of some positive operator. R. Meyer constructed a differential operator $D_-$ acting on a function space $\H$ and showed that the eigenvalues of the adjoint of $D_-$ are exactly the nontrivial zeros of $\zeta(s)$ with multiplicity correspondence. We follow Meyer's construction with a slight modification. Specifically, we define two function spaces $\H_\cap$ and $\H_-$ on $(0,\infty)$ and characterize them via the Mellin transform. This allows us to show that $Z\H_\cap\subseteq\H_-$ where $Zf(x)=\sum_{n=1}^\infty f(nx)$. Also, the differential operator …

High School Students As Citizen Scientists To Decrease Radon Exposure, Ellen J. Hahn, Craig Wilmhoff, Mary Kay Rayens, Nicholas B. Conley, Emily Morris, Angela Larck, Trista Allen, Susan M. Pinney

Nursing Faculty Publications

Residents in rural Kentucky (KY) and suburban Ohio (OH) expressed concerns about radon exposure and lung cancer. Although 85% of lung cancer cases are caused by tobacco smoke, radon exposure accounts for 10–15% of lung cancer cases. Academic and community members from the University of KY and the University of Cincinnati developed and pilot-tested a family-centered, youth-engaged home radon testing toolkit. The radon toolkit included radon information, and how to test, interpret, and report back findings. We educated youth as citizen scientists and their teachers in human subjects protection and home radon testing using the toolkit in the classroom. Youth …

Personality, Online Learning, And Covid-19, Dareen Christabel, Hannah Fields, Sarah M. Krysl, Mariah Rodriguez

Student Work

While characteristics of in-person learning versus online learning and the impact of personality on academic success have been studied, the nature of these variables in the context of a stressful event like the COVID-19 pandemic remains undetermined. This quantitative correlational survey analysis investigated 133 participants’ prior online learning experience and neuroticism levels, via the Big Five personality test, to examine relationships between those two variables and the variables of perceived learning, change in GPA, and perceived lost learning during COVID-19. Researchers found no significant correlations or effects between any of these variables. Researchers concluded that while the variables in question …

Wireless Sensors For Brain Activity—A Survey, Mahyar Tajdini, Volodymyr Sokolov, Ievgeniia Kuzminykh, Stavros Shiaeles, Bogdan Ghita

School of Engineering, Computing and Mathematics

Over the last decade, the area of electroencephalography (EEG) witnessed a progressive move from high-end large measurement devices, relying on accurate construction and providing high sensitivity, to miniature hardware, more specifically wireless wearable EEG devices. While accurate, traditional EEG systems need a complex structure and long periods of application time, unwittingly causing discomfort and distress on the users. Given their size and price, aside from their lower sensitivity and narrower spectrum band(s), wearable EEG devices may be used regularly by individuals for continuous collection of user data from non-medical environments. This allows their usage for diverse, nontraditional, non-medical applications, including …

Decoding Perception Of Speech From Behavioral Responses Using Spatio-Temporal Cnns, Kazi Ashraf Moinuddin

Electronic Theses and Dissertations Archive

Categorical perception (CP) of speech is a complex process reflecting individuals’ ability to perceive sound and is measured using response time (RT). The cognitive processes involved in mapping neural activities to behavioral response are stochastic and further compounded by individuality and variations. This thesis presents a data-driven approach and develops parameter optimized models to understand the relationship between cognitive events and behavioral response (e.g., RT). We introduce convolutional neural networks (CNN) to learn the representation from EEG recordings. In addition, we develop parameter optimized and interpretable models in decoding CP using two representations: 1) spatial-spectral topomaps and 2) evoked response …

On The Arrangement Of Visual Features For Efficient And Accurate Prediction Using A Linear Model, Monika Shah

Electronic Theses and Dissertations Archive

Assuming the brain is a prediction machine, we investigate the arrangement of 2D visual features (Gabor filters) such that visual prediction can be carried out efficiently. The contributions of this thesis are threefold: (1) we prove that a 1-mode tensor can be predicted from an n-mode and an (n-1)-mode tensors; (2) using a linear model to predict visual features at varying distances from a given location, we show that prediction error increases smoothly and monotonically with increase in distance and increase in degree of sparsity of the prediction model; (3) we show that the visual features can be arranged in …

Metarec: Meta-Learning Meets Recommendation Systems, James Le

Theses

Artificial neural networks (ANNs) have recently received increasing attention as powerful modeling tools to improve the performance of recommendation systems. Meta-learning, on the other hand, is a paradigm that has re-surged in popularity within the broader machine learning community over the past several years. In this thesis, we will explore the intersection of these two domains and work on developing methods for integrating meta-learning to design more accurate and flexible recommendation systems.

In the present work, we propose a meta-learning framework for the design of collaborative filtering methods in recommendation systems, drawing from ideas, models, and solutions from modern approaches …

Vessel Trajectory Prediction Using Historical Ais Data, Jagir Laxmichand Charla

Dissertations and Theses

Maritime vessel position coordinates are important information for maritime situational planning and organization. A better estimate of future locations of the maritime vessels, from their current locations, can help maritime authorities to make planned decisions, which can be helpful to avoid traffic congestion and longer waiting times. This thesis develops a method for estimating future locations of the vessels using their current and previous locations and other data.

The motivating scenario for this work is that of determining the future locations of the vessels based on their current location and previous locations for accurate modelling of underwater acoustic noise. As …

Investigation Of Al26.5cu25fe12.5 Quasicrystalline Phase Formation By Rapid Solidification Followed By Mechanical Milling., A. Shamah, S. Ibrahim, F. Hanna, Y. Abbas, P. Gayed

Mansoura Engineering Journal

The formation of the quasicrystalline phase Al62.5 Cu25FC12.5, by twin rolls rapid solidification technique has been investigated. The obtained phases are cauterized by XRD, Differential Thermal Analysis and electrical resistivity measurements. The effect of milling on the sample produced by rapid solidification is also examined. A quenched sample, a quasicrystalline (i-phase) is present in a relatively high volume fraction, in addition to two other phases that are most likely Al2Cu to be phase and Al7Cu2Fe phase (��-phase). The milled samples does not give a single quasicrystalline phase, but the milling tends to stabilize the pre- existed i-phase.

Structural Determinants Of Flavin Dynamics In A Class B Monooxygenase, Ashley C. Campbell, Reeder Robinson, Didier Mena-Aguilar, Pablo Sobrado, John J. Tanner

Chemistry Faculty Research & Creative Works

The ornithine hydroxylase known as SidA is a class B flavin monooxygenase that catalyzes the first step in the biosynthesis of hydroxamate-containing siderophores in Aspergillus fumigatus. Crystallographic studies of SidA revealed that the FAD undergoes dramatic conformational changes between out and in states during the catalytic cycle. We sought insight into the origins and purpose of flavin motion in class B monooxygenases by probing the function of Met101, a residue that contacts the pyrimidine ring of the in FAD. Steady-state kinetic measurements showed that the mutant variant M101A has a 25-fold lower turnover number. Pre-steady-state kinetic measurements, pH profiles, and …

Thermal Time Requirements For Leaf Appearance Of Frontier Balansa Clover, D. P. Monks, D. J. Moot

IGC Proceedings (1977-2023)

No abstract provided.

The Effect Of Rapid Paddock Movement On Yearling Steer Weight Gain And Forage Condition In North‐Central Nebraska, Usa, D. G. Mickey Steward

IGC Proceedings (1977-2023)

No abstract provided.

Two Techniques To Measure Herbage Intake Of Grazing Dairy Cows, Mary Mcevoy, M. O'Donovan, Tommy M. Boland, Luc Delaby

IGC Proceedings (1977-2023)

No abstract provided.

The Effect Of Pre‐Grazing Herbage Mass On Milk Production And Of Dairy Cows In Mid‐Lactation, Mary Mcevoy, M. O'Donovan, Tommy M. Boland, Luc Delaby

IGC Proceedings (1977-2023)

No abstract provided.

R(P,Q) Analogs Of Discrete Distributions: General Formalism And Applications, Mahouton Norbert Hounkonnou, Fridolin Melong

Journal of Stochastic Analysis

No abstract provided.

The Yang-Mills Heat Equation On Three-Manifolds With Boundary, Nelia Charalambous

Journal of Stochastic Analysis

No abstract provided.

Issues Related To Literacy As It Applies To Children Who Are Deaf Or Hard Of Hearing, Leala Holcomb, Debbie Golos, Annie Moses

Michigan Reading Journal

No abstract provided.

Using Hand Claps, Jump Rope Rhymes, And Marching Songs To Integrate Literacy And Mathematics, William P. Bintz, Sara D. Moore

Michigan Reading Journal

No abstract provided.

From The Editors, Kathryn L. Roberts, Poonam Arya

Michigan Reading Journal

No abstract provided.

Front Matter, Michigan Reading Journal

Michigan Reading Journal

No abstract provided.

India's Development Dilemma, James Pomfret

Journal of Global Awareness

No abstract provided.

Well Oiled Machine: Classifying Machinery Performance Reductions Using Work Order Data, Jacob Brionez, Amber Burnett, Cho Kim, Scott M. Whitney, Thomas N. Anderson, Sumeet Treehan

SMU Data Science Review

Work Order (WO) data from System Applications and Products in Data Processing (SAP) software contains valuable information about what WOs intend to accomplish. Using SAP work order data, with time-series machinery sensor data combined into the same dataset, provides an opportunity to optimize prediction models to increase performance. Ideally, WO data can be utilized to help predict machinery's anticipated performance and can help prioritize a WO among others based on the anticipated machinery performance. It is possible to identify anomalies in pump sensor data using the Isolation Forest algorithm as the method for anomaly detection. The relationship between the sensor …

Reading Pdfs Using Adversarially Trained Convolutional Neural Network Based Optical Character Recognition, Michael B. Brewer, Michael Catalano, Yat Leung, David Stroud

SMU Data Science Review

A common problem that has plagued companies for years is digitizing documents and making use of the data contained within. Optical Character Recognition (OCR) technology has flooded the market, but companies still face challenges productionizing these solutions at scale. Although these technologies can identify and recognize the text on the page, they fail to classify the data to the appropriate datatype in an automated system that uses OCR technology as its data mining process. The research contained in this paper presents a novel framework for the identification of datapoints on check stub images by utilizing generative adversarial networks (GANs) to …

Copyright Information, Todd Pagano, Sami Kahn

Journal of Science Education for Students with Disabilities

No abstract provided.

Call For Manuscript, Todd Pagano, Sami Kahn

Journal of Science Education for Students with Disabilities

No abstract provided.

Search For Bottom-Type, Vectorlike Quark Pair Production In A Fully Hadronic Final State In Proton-Proton Collisions At S =13 Tev, The Cms Collaboration, A. M. Sirunyan, A. Tumasyan, W. Adam, F. Ambrogi, T. Bergauer, Julie M. Hogan, S Johnson

Physics and Engineering Faculty Publications

A search is described for the production of a pair of bottom-type vectorlike quarks (VLQs), each decaying into a b or b¯ quark and either a Higgs or a Z boson, with a mass greater than 1000 GeV. The analysis is based on data from proton-proton collisions at a 13 TeV center-of-mass energy recorded at the CERN LHC, corresponding to a total integrated luminosity of 137 fb-1. As the predominant decay modes of the Higgs and Z bosons are to a pair of quarks, the analysis focuses on final states consisting of jets resulting from the six quarks produced in …

State Of The Art In Composition, Fabrication, Characterization, And Modeling Methods Of Cement-Based Thermoelectric Materials For Low-Temperature Applications, Xiaoli Liu, Ruchita Jani, Esther Orisakwee, Conrad Johnston, Piotr Chudzinski, Ming Qu, Brian Norton, Niall Holmes Dr., Jorge Kohanoff, Lorenzo Stella, Hongxi Yin, Kazuaki Yazawa

Articles

The worldwide energy crisis and environmental deterioration are probably humanity’s greatest challenges. Thermoelectricity, which allows for the mutual conversion between thermal and electrical energy, has become a promising technology to alleviate this challenge. Increasingly more research focuses on how to fabricate and apply thermoelectric materials for harvesting energy and regulating the indoor thermal environment. However, only a few studies have focused on cementitious materials with thermoelectric potential. Thermoelectric cement is a composite material in which particular additives can enhance the thermoelectric performance of ordinary cement. By potentially replacing traditional construction materials with thermoelectric cement in building applications, electricity could be …

In Search Of 21st -Century High Quality Health Education Teachers, Catherine Cardina Ph.D., Leah Panek-Shirley Ph.D.

Health and Wellness Faculty Publications

Purpose - Healthier students learn better which improves academic achievement and educational attainment. Teachers with subject area knowledge and certification in their teaching content areas positively contribute to student academic achievement. The purpose of this study is to identify trends from 2003 through 2016 in academic majors and subject-area certifications, licensures, or endorsements of K-12 public school staff in the United States who were teaching at least one health education class during this century.