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2021-2022 Annual Security And Fire Report - Sayre Campus, Southwestern Oklahoma State University

ANNUAL SECURITY & FIRE REPORTS

This is the 2021-2022 Annual Security and Fire Report of the Sayre Campus by Southwestern Oklahoma State University.

2021-2022 Annual Security And Fire Report - Weatherford Campus, Southwestern Oklahoma State University

ANNUAL SECURITY & FIRE REPORTS

This is the 2021-2022 Annual Security and Fire Report of the Weatherford Campus by Southwestern Oklahoma State University.

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Design And Development Of Magnetic Iron Core Gold Nanoparticle-Based Fluorescent Multiplex Assay To Detect Salmonella, Xinyi Zhao

Articles

Salmonella is a bacterial pathogen which is one of the leading causes of severe illnesses in humans. The current study involved the design and development of two methods, respectively using iron oxide nanoparticle (IONP) and iron core gold nanoparticle (ICGNP), conjugated with the Salmonella antibody and the fluorophore, 4-Methylumbelliferyl Caprylate (4-MUCAP), used as an indicator, for its selective and sensitive detection in contaminated food products. Twenty double-blind beverage samples, spiked with Salmonella enteritidis, Staphylococcus aureus, and Escherichia coli, were prepared in sterile Eppendorf® tubes at room temperature. The gold layer and spikes of ICGNPs increased the surface areas. The ratio …

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Cold Plasma Technology In Food Packaging, Kalpani Perera, Jack Prendeville, Amit Jaiswal, Swarna Jaiswal

Articles

Cold plasma (CP) is an effective strategy to alter the limitations of biopolymer materials for food packaging applications. Biopolymers such as polysaccharides and proteins are known to be sustainable materials with excellent film-forming properties. Bio-based films can be used as an alternative to traditional plastic packaging. There are limitations to biopolymer packaging materials such as hydrophobicity, poor barrier, and thermos-mechanical properties. For this reason, biopolymers must be modified to create a packaging material with the desired applicability. CP is an effective method to enhance the functionality and interfacial features of biopolymers. It etches the film surface allowing for better adhesion …

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Exploring The Concept Of The Digital Educator During Covid-19, Fernando Jimenez, Gracia Sanchez, Jose Palma, Luis Miralles-Pechuán, Juan A. Botia

Articles

T In many machine learning classification problems, datasets are usually of high dimensionality and therefore require efficient and effective methods for identifying the relative importance of their attributes, eliminating the redundant and irrelevant ones. Due to the huge size of the search space of the possible solutions, the attribute subset evaluation feature selection methods are not very suitable, so in these scenarios feature ranking methods are used. Most of the feature ranking methods described in the literature are univariate methods, which do not detect interactions between factors. In this paper, we propose two new multivariate feature ranking methods based on …

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Comparison Of Vibrational Spectroscopic Techniques For Quantification Of Water In Natural Deep Eutectic Solvents, Suha Elderderi, Pierre-Yves Sacré, Laura Wils, Igor Chourpa, Abdalla A. Elbashir, Philippe Hubert, Hugh Byrne, Leslie Boudesocque-Delaye, Eric Ziemons, Franck Bonnier Franck Bonnier

Articles

Vibrational spectroscopic techniques, i.e., attenuated total reflectance infrared (ATRIR), near infrared spectroscopy (NIRS) and Raman spectroscopy (RS), coupled with Partial Least Squares Regression (PLSR), were evaluated as cost-effective label-free and reagent-free tools to monitor water content in Levulinic Acid/L-Proline (LALP) (2:1, mol/mol) Natural Deep Eutectic Solvent (NADES). ATR-IR delivered the best outcome of Root Mean Squared Error (RMSE) of Cross- Validation (CV) = 0.27% added water concentration, RMSE of Prediction (P) = 0.27% added water concentration and mean % relative error = 2.59%. Two NIRS instruments (benchtop and handheld) were also compared during the study, respectively yielding RMSECV = 0.35% …

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Assisting End-Users In Creating Chatbots By Improving Training Data, Aparna Roy, Chris Egersdoerfer

Summer REU Program

No abstract provided.

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Investigating Traction Forces Of Breast Cancer K14+ Leader Cells In Tumor Organoids, Ella Ramamurthy, Jessanne Lichtenberg, Priscilla Hwang

Summer REU Program

No abstract provided.

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Evaluation Of Cell-Matrix Interactions In K14+ Leader Cells On Caf-Modulated Matrix, Trey P. Redman, Jessanne Y. Lichtenberg, Priscilla Y. Hwang

Summer REU Program

No abstract provided.

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Exploiting The Sars-Cov-2 Spike Protein Components To Guide Molecular Level Entry Of A Bag-1 Inhibitor In The Treatment Of Breast And Lung Cancers, Malak Yasin, Michael Peters, Mo Jiang

Summer REU Program

Chemoresistance of lung cancer cells is the primary reason as to why limitations occur with cancer treatments. A protein, known as BAG-1 is responsible for many cellular activities including cellular stress response, cell growth, and apoptosis (regulated cell death). When overexpressed, the protein has been linked to the anti-apoptotic behavior of cancer cells. BAG-1 can combine to heat shock proteins (HSPs), a family of helical molecular chaperones that are known to aid in the maturation of proteins, refolding, and degradation. This response plays a crucial role in the study of chemoresistance in cancer patients due to its detrimental nature. Prior, …

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Optimization Of An Automated Algorithm For Analysis Of Spontaneous Rhythmic Bladder Contractions During Urodynamics Testing, Isabelle Pummill, Rui Li, Zachary Cullingsworth, Adam Klausner, John Speich

Summer REU Program

No abstract provided.

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The Effects Of Stem And Non-Stem Mathematics Corequisite Courses On Student Success At Public Institutions In West Virginia, Vanessa S. Keadle

Theses, Dissertations and Capstones

This study explored the differences in student success outcomes between students enrolled in non-STEM and STEM corequisite mathematics courses at 18 postsecondary institutions across five academic years in West Virginia, using de-identified student data. The researcher analyzed this extant data to determine if student characteristics were predictors of success, as defined as passing the mathematics corequisite course, retention to the next semester, and earning a GPA of 2.0 or higher. The researcher also conducted analyses to understand if the differences in those outcomes between STEM and non-STEM courses were significant. This study identified statistically significant gaps in success for students …

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Choosing Wearable Internet Of Things Devices For Managing Safety In Construction Using Fuzzy Analytic Hierarchy Process As A Decision Support System, Sharique Khalid

Theses, Dissertations and Capstones

Many safety and health risks are faced daily by workers in the field of construction. There is unpredictability and risk embedded in the job and work environment. When compared with other industries, the construction industry has one of the highest numbers of worker injuries, illnesses, fatalities, and near-misses. To eliminate these risky events and make worker performance more predictable, new safety technologies such as the Internet of Things (IoT) and Wearable Sensing Devices (WSD) have been highlighted as effective safety systems. Some of these Wearable Internet of Things (WIoT) and sensory devices are already being used in other industries to …

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A Trusted Platform For Unmanned Aerial Vehicle-Based Bridge Inspection Management System, Hwapyeong Song

Theses, Dissertations and Capstones

Bridge inspection has a pivotal role in assuring the safety of critical structures constituting society. However, high cost, worker safety, and low objectivity of quality are classic problems in traditional visual inspection. Recent trends in bridge inspection have led to a proliferation of research utilizing Unmanned Aerial Vehicles (UAVs). This thesis proposes a Trusted Platform for Bridge Inspection Management System (Trusted-BIMS) for safe and efficient bridge inspection by proving the UAV-based inspection process and improving the prototype of the previous study. Designed based on a Zero-Trust (ZT) strategy, Trusted-BIMS consist of (1) a database-driven web framework with security features for …

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The Refractive Error And Vision Impairment Estimation With Spectacle Data Study, Michael Moore, James Loughman, John Butler, Arne Ohlendorf, Siegfried Wahl, Daniel Ian Flitcroft

Articles

Purpose: To investigate whether spectacle lens sales data can be used to estimate the population distribution of refractive error among patients with ametropia and hence to estimate the current and future risk of vision impairment. Design: Cross-sectional study. Participants: A total of 141 547 436 spectacle lens sales records from an international European lens manufacturer between 1998 and 2016. Methods: Anonymized patient spectacle lens sales data, including refractive error information, was provided by a major European spectacle lens manufacturer. Data from the Gutenberg Health Survey was digitized to allow comparison of a representative, population-based sample with the spectacle lens sales …

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Enhanced Study Of Complex Systems By Unveiling Hidden Symmetries With Dynamical Visibility, Nhat Vu Minh Nguyen

2022 Symposium

One of the great challenges in complex and chaotic dynamics is to reveal its deterministic structures. These temporal dynamical structures are sometimes a consequence of hidden symmetries. Detecting and understanding them can allow the study of complex systems even without knowing the full underlying mathematical description of the system. Here we introduce a new technique, called Dynamical Visibility, that quantifies temporal correlations of the dynamics based upon some symmetry conditions. This visibility measures the departure of the dynamics from internal symmetries. We apply this technique to well-known chaotic systems, such as the logistic map and the circle map, as well …

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The Applications And Challenges Of The Development Of In Vitro Tumor Microenvironment Chips, Annika Johnson, Samuel Reimer, Ryan Childres, Grace Cupp, Tia C.L. Kohs, Owen J.T. Mccarty, Young Bok Abraham Kang

Faculty Publications - Biomedical, Mechanical, and Civil Engineering

The tumor microenvironment (TME) plays a critical, yet mechanistically elusive role in tumor development and progression, as well as drug resistance. To better understand the pathophysiology of the complex TME, a reductionist approach has been employed to create in vitro microfluidic models called “tumor chips”. Herein, we review the fabrication processes, applications, and limitations of the tumor chips currently under development for use in cancer research. Tumor chips afford capabilities for real-time observation, precise control of microenvironment factors (e.g. stromal and cellular components), and application of physiologically relevant fluid shear stresses and perturbations. Applications for tumor chips include drug screening …

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Design And Development Of Active Flow Effectors, Konstantinos Kanistras

Summer Community of Scholars (RCEU and HCR) Project Proposals

No abstract provided.

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Design And Development Of An Online Wind Tunnel, Konstantinos Kanistras

Summer Community of Scholars (RCEU and HCR) Project Proposals

No abstract provided.

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Development Of Improved Cfd Tools For The Optimization Of A Scramjet Engine, Francis A. Centlivre

Browse all Theses and Dissertations

In the present work, a plugin has been developed for use with the DoD HPCMP CREATE-AV Kestrel multi-physics solver that adds volumetric source terms to the energy equation. These source terms model the heat released due to combustion, but are much more computationally efficient than a full chemistry model. A thrust-based optimization study was then carried out under the control of Sandia National Laboratories' Dakota toolkit. Dakota was allowed to control the amount of heat added to three regions of the scramjet combustor. The plugin was then extended to consider ignition delay time. By comparing ignition delay time to dwell …

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Reverse Engineering Spinal Motoneuron Properties In Slice And Whole-Cord Preparations Using Computational Modeling, Mohamed H. Mousa

Browse all Theses and Dissertations

Since Hodgkin and Huxley’s discoveries in the 1950s, mathematical modeling became an indispensable tool in neuroscience. The evolution of computer systems paved the way for computational models to improve our understanding of the nervous system. The long-term goals of this research are to develop tools for examining, understanding, and analyzing experimental data from spinal motoneurons (MNs), which are implicated in many motor disorders. Specifically, I developed high-fidelity, anatomically-detailed computational models that could be used to 1) study the cellular mechanisms underlying the non-linear MNs firing behaviors, 2) analyze the multifactorial process of MNs excitability regulation, and how it is affected …

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Engineering Instruction, Inclusion, And Comics: Reflections From A Student Illustrator And An Instructor, Addison Totman, Sreyoshi Bhaduri, Krishna Pakala, Cherie D. Edwards, Michelle Soledad

Mechanical and Biomedical Engineering Faculty Publications and Presentations

This paper presents the opportunity gap for comics in engineering education, through reflections from a team redesigning a mechanical engineering syllabi using illustrations. To increase a sense of belonging among diverse students, the authors of this paper propose a graphic narrative focused on the curriculum of the mechanical engineering department at a large public university in Western United States. We hope that this paper addresses the underutilized and largely missed opportunity to add engagement, better conceptual understanding, and improve inclusion in engineering classrooms through incorporating visual illustrations.

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Work-In-Progress: Mobile Assisted Gains Through Innovative Curriculum For Students In The Thermal-Fluids Science Course, Maeve Bakic, Krishna Pakala, Diana Bairaktarova, Devshikha Bose

Mechanical and Biomedical Engineering Faculty Publications and Presentations

A learner-centered higher education ecosystem is essential to effective educational outcomes and societal advancement. Mobile devices such as smartphones, tablets, and tablet computers enable learning anytime and from any location, blurring the boundaries between formal and informal learning. When paired with effective pedagogy, mobile technologies can positively impact the teaching and learning experience for students in high-demand science, technology, engineering and mathematics (STEM) disciplines, increasing the flexibility and ease with which they are able to pursue their education while developing their professional identities as engineers. Student retention remains a problem in STEM programs. In engineering, many students do not even …

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Improving Dysarthric Speech Recognition By Enriching Training Datasets, Sophie Cullen

Dissertations

Dysarthria is a motor speech disorder that results from disruptions in the neuro-motor interface and is characterised by poor articulation of phonemes and hyper-nasality and is characteristically different from normal speech. Many modern automatic speech recognition systems focus on a narrow range of speech diversity therefore as a consequence of this they exclude a groups of speakers who deviate in aspects of gender, race, age and speech impairment when building training datasets. This study attempts to develop an automatic speech recognition system that deals with dysarthric speech with limited dysarthric speech data. Speech utterances collected from the TORGO database are …

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Modeling The Tribo-Dynamic Behavior Of Roller Contact, Ali Kolivand

Browse all Theses and Dissertations

This study proposes dynamic modeling of lubricated rolling contact and a numerical sub-model for fatigue life prediction of rollers under starved lubrication conditions. Excitation caused by surface defects in rolling disks is numerically calculated and used as a metric in predicting surface pitting failure occurrence. Surface topography of mating surfaces is used as input to the model for determining maximum acceleration, approach velocity, and approach distance of rollers in presence of pits (defects). Resultant bearing force, contacting force versus approach distance are generated and compared for different pit sizes, developing an accurate tool for design purposes. Maximum acceleration and displacement …

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Gadolinium Enrichment In Association With The Magnetic Fraction Of 1 Fly Ash: Real Or An Illusion?, James C. Hower, John G. Groppo, Dali Qian, Nicolas J. Briot, Tonya D. Morgan, Shelley D. Hopps, Elizabeth Cantando

Coal Combustion and Gasification Products Journal Archive

Gadolinium, and possibly praseodymium, are relatively enriched in the magnetic 24 fractions of Class F fly ashes from Central Appalachian coal sources. Although the enrichment is 25 evident in the inductively coupled plasma–atomic emission spectroscopy (ICP-AES) 26 determinations of the rare earth content, transmission electron microscopy–energy dispersive x-27 ray spectroscopy (TEM-EDS) examination of the fly ash fails to show the sites of the Gd or Pr. 28 This apparent lack of correlation could be due to the inability of the EDS to detect low 29 concentrations of the rare earth elements definitively; interferences in the analytics, leading to 30 false …

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Performance Of Xor Rule For Decentralized Detection Of Deterministic Signals In Bivariate Gaussian Noise, Xingjian Sun, Shailee Yagnik, Ramanarayanan Viswanathan, Lei Cao

Faculty and Student Publications

In this paper, we consider the performance of exclusive-OR (XOR) rule in detecting the presence or absence of a deterministic signal in bivariate Gaussian noise. Signals, when present at the two sensors, are assumed unequal, whereas the noise components have identical marginal distribution but are correlated. The sensors send their one-bit quantized data to a fusion center, which then employs the XOR rule to arrive at the final decision. Here we prove that, in the limit as the correlation coefficient r approaches 1, the optimum fusion rule for both parallel and tandem topologies is XOR with identical, alternating partitions (XORAP) …

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Wedeven Associates: Finding New Ways To Develop Novel Solutions To Persistent, Intractable Problems, Richard Jonsen

Rohrer College of Business Departmental Research

Wedeven Associates is a small tribology research and engineering consulting firm located near Philadelphia, Pennsylvania. The company faced a variety of challenges associated with the COVID-19 pandemic as did most small businesses in 2020. As the company became fully operational again, Wedeven Associates was approached by a longtime client to solve a tribological problem the client’s engineers had been trying to address for almost 14 years. The catch: Wedeven Associates only had a little over two months to do the work while complying with pandemic-related travel and meeting restrictions. This case tells the story of how the Wedeven Associates team …

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A Flexible Dual-Mode Pressure Sensor With Ultra-High Sensitivity Based On Bto@Mwcnts Core-Shell Nanofibers, Bangze Zhou, Chenchen Li, Yanfen Zhou, Zhanxu Liu, Xue Gao, Xueqin Wang, Liang Jiang, Mingwei Tian, Feng-Lei Zhou, Stephen Jerrams, Jianyong Yu

Articles

Wearable flexible sensors have developed rapidly in recent years because of their improved capacity to detect human motion in wide-ranging situations. In order to meet the requirements of flexibility and low detection limits, a new pressure sensor was fabricated based on electrospun barium titanate/multi-wall carbon nanotubes (BTO@MWCNTs) core-shell nanofibers coated with styrene-ethylene-butene-styrene block copolymer (SEBS). The sensor material (BTO@MWCNTs/SEBS) had a SEBS to BTO/MWCNTs mass ratio of 20:1 and exhibited an excellent piezoelectricity over a wide range of workable pressures from 1 to 50 kPa, higher output current of 56.37 nA and a superior piezoresistivity over a broad working range …

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Human Interaction With Fake News, Autumn Woodson, Sampath Jayarathna (Mentor)

Computer & Information Science: Research Experiences for Undergraduates in Disinformation Detection and Analytics

No abstract provided.

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Full-Text Articles in Engineering

2021-2022 Annual Security And Fire Report - Sayre Campus, Southwestern Oklahoma State University

ANNUAL SECURITY & FIRE REPORTS

2021-2022 Annual Security And Fire Report - Weatherford Campus, Southwestern Oklahoma State University

ANNUAL SECURITY & FIRE REPORTS

Design And Development Of Magnetic Iron Core Gold Nanoparticle-Based Fluorescent Multiplex Assay To Detect Salmonella, Xinyi Zhao

Articles

Cold Plasma Technology In Food Packaging, Kalpani Perera, Jack Prendeville, Amit Jaiswal, Swarna Jaiswal

Articles

Exploring The Concept Of The Digital Educator During Covid-19, Fernando Jimenez, Gracia Sanchez, Jose Palma, Luis Miralles-Pechuán, Juan A. Botia

Articles

Comparison Of Vibrational Spectroscopic Techniques For Quantification Of Water In Natural Deep Eutectic Solvents, Suha Elderderi, Pierre-Yves Sacré, Laura Wils, Igor Chourpa, Abdalla A. Elbashir, Philippe Hubert, Hugh Byrne, Leslie Boudesocque-Delaye, Eric Ziemons, Franck Bonnier Franck Bonnier

Articles

Assisting End-Users In Creating Chatbots By Improving Training Data, Aparna Roy, Chris Egersdoerfer

Summer REU Program

Investigating Traction Forces Of Breast Cancer K14+ Leader Cells In Tumor Organoids, Ella Ramamurthy, Jessanne Lichtenberg, Priscilla Hwang

Summer REU Program

Evaluation Of Cell-Matrix Interactions In K14+ Leader Cells On Caf-Modulated Matrix, Trey P. Redman, Jessanne Y. Lichtenberg, Priscilla Y. Hwang

Summer REU Program

Exploiting The Sars-Cov-2 Spike Protein Components To Guide Molecular Level Entry Of A Bag-1 Inhibitor In The Treatment Of Breast And Lung Cancers, Malak Yasin, Michael Peters, Mo Jiang

Summer REU Program

Optimization Of An Automated Algorithm For Analysis Of Spontaneous Rhythmic Bladder Contractions During Urodynamics Testing, Isabelle Pummill, Rui Li, Zachary Cullingsworth, Adam Klausner, John Speich

Summer REU Program

The Effects Of Stem And Non-Stem Mathematics Corequisite Courses On Student Success At Public Institutions In West Virginia, Vanessa S. Keadle

Theses, Dissertations and Capstones

Choosing Wearable Internet Of Things Devices For Managing Safety In Construction Using Fuzzy Analytic Hierarchy Process As A Decision Support System, Sharique Khalid

Theses, Dissertations and Capstones

A Trusted Platform For Unmanned Aerial Vehicle-Based Bridge Inspection Management System, Hwapyeong Song

Theses, Dissertations and Capstones

The Refractive Error And Vision Impairment Estimation With Spectacle Data Study, Michael Moore, James Loughman, John Butler, Arne Ohlendorf, Siegfried Wahl, Daniel Ian Flitcroft

Articles

Enhanced Study Of Complex Systems By Unveiling Hidden Symmetries With Dynamical Visibility, Nhat Vu Minh Nguyen

2022 Symposium

The Applications And Challenges Of The Development Of In Vitro Tumor Microenvironment Chips, Annika Johnson, Samuel Reimer, Ryan Childres, Grace Cupp, Tia C.L. Kohs, Owen J.T. Mccarty, Young Bok Abraham Kang

Faculty Publications - Biomedical, Mechanical, and Civil Engineering

Design And Development Of Active Flow Effectors, Konstantinos Kanistras

Summer Community of Scholars (RCEU and HCR) Project Proposals

Design And Development Of An Online Wind Tunnel, Konstantinos Kanistras

Summer Community of Scholars (RCEU and HCR) Project Proposals

Development Of Improved Cfd Tools For The Optimization Of A Scramjet Engine, Francis A. Centlivre

Browse all Theses and Dissertations

Reverse Engineering Spinal Motoneuron Properties In Slice And Whole-Cord Preparations Using Computational Modeling, Mohamed H. Mousa

Browse all Theses and Dissertations

Engineering Instruction, Inclusion, And Comics: Reflections From A Student Illustrator And An Instructor, Addison Totman, Sreyoshi Bhaduri, Krishna Pakala, Cherie D. Edwards, Michelle Soledad

Mechanical and Biomedical Engineering Faculty Publications and Presentations

Work-In-Progress: Mobile Assisted Gains Through Innovative Curriculum For Students In The Thermal-Fluids Science Course, Maeve Bakic, Krishna Pakala, Diana Bairaktarova, Devshikha Bose

Mechanical and Biomedical Engineering Faculty Publications and Presentations

Improving Dysarthric Speech Recognition By Enriching Training Datasets, Sophie Cullen

Dissertations

Modeling The Tribo-Dynamic Behavior Of Roller Contact, Ali Kolivand

Browse all Theses and Dissertations

Gadolinium Enrichment In Association With The Magnetic Fraction Of 1 Fly Ash: Real Or An Illusion?, James C. Hower, John G. Groppo, Dali Qian, Nicolas J. Briot, Tonya D. Morgan, Shelley D. Hopps, Elizabeth Cantando

Coal Combustion and Gasification Products Journal Archive

Performance Of Xor Rule For Decentralized Detection Of Deterministic Signals In Bivariate Gaussian Noise, Xingjian Sun, Shailee Yagnik, Ramanarayanan Viswanathan, Lei Cao

Faculty and Student Publications

Wedeven Associates: Finding New Ways To Develop Novel Solutions To Persistent, Intractable Problems, Richard Jonsen

Rohrer College of Business Departmental Research

A Flexible Dual-Mode Pressure Sensor With Ultra-High Sensitivity Based On Bto@Mwcnts Core-Shell Nanofibers, Bangze Zhou, Chenchen Li, Yanfen Zhou, Zhanxu Liu, Xue Gao, Xueqin Wang, Liang Jiang, Mingwei Tian, Feng-Lei Zhou, Stephen Jerrams, Jianyong Yu

Articles

Human Interaction With Fake News, Autumn Woodson, Sampath Jayarathna (Mentor)

Computer & Information Science: Research Experiences for Undergraduates in Disinformation Detection and Analytics