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Full-Text Articles in Entire DC Network
Safety Risk Assessment And Improvement Method For Precast/ Prestressed Concrete Industry Plant, Sayali G. Joshi
Safety Risk Assessment And Improvement Method For Precast/ Prestressed Concrete Industry Plant, Sayali G. Joshi
Theses and Dissertations
The Precast/Prestressed Concrete Institute (PCI) is the technical institute for precast/prestressed concrete industry. The plant involves activities such as placing high tensile steel strings inside the concrete products before they harden. This process needs the strings to be "stressed" hydraulically with high tension, which provides possibility of breaking the strand. Hence, employees may face a severe injury around the stressing bed. As various activities take place on the plant at the same time, employees must follow certain safety protocols while being around the plant. Another safety concern on the precast plant is silica exposure. Occupational Safety and Health Administration (OSHA) …
Field Application Of The Pm Device And Assessment Of Early Age Behaviors Of Cement Stabilized Pavement Layers, William Griffin Sullivan
Field Application Of The Pm Device And Assessment Of Early Age Behaviors Of Cement Stabilized Pavement Layers, William Griffin Sullivan
Theses and Dissertations
Cement stabilized material used for subbase or base pavement layers has been a widely accepted practice by many state Departments of Transportation (DOTs); particularly, for DOTs with limited access to quality crushed aggregates for pavement construction. Despite over 100 years of use, construction specifications governing cement stabilized pavement layers have largely remained the same and are primarily method based specifications (i.e. individual components evaluated and construction methods prescribed) rather than evaluating or testing mechanical properties of the end product. With the recent emergence of the Plastic Mold compaction Device (PM Device), multiple agencies are looking to depart from method based …
Development Of A Bayesian Network Model For Assessing The Resilience Of Biomass-Based Combined Heat And Power System, Omar Alzahrani
Development Of A Bayesian Network Model For Assessing The Resilience Of Biomass-Based Combined Heat And Power System, Omar Alzahrani
Theses and Dissertations
Due to the growing number of diverse power systems disruptions, including extreme weather events, technical factors, and human factors, assessing and quantifying the resilience of electric power subsystems has become an indispensable step to develop an efficient strategic plan to enhance the resilience and reliability of these systems and to endure the diverse interruptions. In this study, factors and sub-factors that may have either direct or indirect impact on the resilience of biomass-based combined heat and power systems are identified, and the interdependencies among them are determined as well. A Bayesian network model is implemented to quantify the resilience of …
Laboratory Testing Protocols To Represent Thermo-Mechanical Signatures Of High Strength Concretes In Medium To Mass Sized Placements, Ashley Suzanne Carey
Laboratory Testing Protocols To Represent Thermo-Mechanical Signatures Of High Strength Concretes In Medium To Mass Sized Placements, Ashley Suzanne Carey
Theses and Dissertations
Structural elements comprised of high strength concrete (HSCs) have gained popularity due to their high compressive strength, increased tensile strength, and low permeability that can be achieved with smaller placements relative to what would be needed with traditional ready mixed concretes. HSCs are also gaining interest for mass placements that are very large. Determining in-place properties of any of these structures is critical to the overall success of a project and elusive to determine prior to placement. In this dissertation, a laboratory based thermo-mechanical framework is outlined to predict in-place properties of modest to mass sized HSC structures using mostly …
Detailed Chemical Mechanism Generation Of Oxygenated Biofuel, Shrabanti Roy
Detailed Chemical Mechanism Generation Of Oxygenated Biofuel, Shrabanti Roy
Theses and Dissertations
With the increase of global temperature and decrease of fossil fuel sources, biofuels become an excellent alternative in present days. Because of its oxygenated nature, biofuels are found to be more environmentally friendly over fossil fuels. Therefore, in this study, initially two different biofuels: ethanol and 2,5 dimethyl furan (DMF) are considered as an additive to gasoline which shows a significant improvement in its combustion characteristics. Due to this promising result for further studies of these biofuel, details chemical kinetic study of biofuels is considered in this work through generating its mechanism for engine relevant conditions. Detail chemical mechanism PCRL-Mech1 …
Ambient Micro-Climate And Thermal Comfort Assessment Of Davis Wade Stadium During The 2016 Football Season, Andrew Collins
Ambient Micro-Climate And Thermal Comfort Assessment Of Davis Wade Stadium During The 2016 Football Season, Andrew Collins
Theses and Dissertations
College football stadiums host anywhere from 15,000 to 115,000 people each Saturday from late summer to early winter and leave fans exposed to ambient conditions. Amplified heat from stadium infrastructure substantially impact attendants’ thermal comfort. In order to assess personal heat exposure and mitigate exposure misclassification, temperature and relative humidity sensors (iButtons) were placed throughout Mississippi State University’s Davis Wade Stadium during the 2016 Football Season. iButton measurements established a micro-climate and compared its readings to the Soil Climate Analysis Network site 1.2 miles north of the stadium. The program RayMan Pro modeled a Physiological Equivalent Temperature (PET) micro-climate to …
Exploring The Intracellular Functions Of Matrix Metalloproteinases In Neuronal And Glial Cells, Jewellian V. Welcher
Exploring The Intracellular Functions Of Matrix Metalloproteinases In Neuronal And Glial Cells, Jewellian V. Welcher
Honors Theses
Matrix metalloproteinases (MMPs) are a family of highly regulated zinc and calcium dependent endopeptidases that have a crucial role in a multitude of biological processes. While the extracellular function of MMPs as effectors of the extracellular matrix (ECM) and their role in cell surface signaling regulation has been well studied, their intracellular function and role in central nervous system (CNS) still tends to be elusive. While the intimidating task of analyzing the 23 different human MMPs with sometimes overlapping function remains an obstacle, models such as Drosophila melanogaster with only two MMPs, dMMP1 and dMMP2, provide an ideal start. To …
An Explainable Method For Prediction Of Sepsis In Icus Using Deep Learning, Kourosh T. Baghaei
An Explainable Method For Prediction Of Sepsis In Icus Using Deep Learning, Kourosh T. Baghaei
Theses and Dissertations
As a complicated lethal medical emergency, sepsis is not easy to be diagnosed until it is too late for taking any life saving actions. Early prediction of sepsis in ICUs may reduce inpatient mortality rate. Although deep learning models can make predictions on the outcome of ICU stays with high accuracies, the opacity of such neural networks decreases their reliability. Particularly, in the ICU settings where the time is not on doctors' side and every single mistake increase the chances of patient's mortality. Therefore, it is crucial for the predictive model to provide some sort of reasoning in addition to …
Modeling Risk Analysis Of A Layered Commercial Solution For A Classified Program When A Patient Attacker Is Present, Marsella Farnam
Modeling Risk Analysis Of A Layered Commercial Solution For A Classified Program When A Patient Attacker Is Present, Marsella Farnam
Theses and Dissertations
Layered security systems pose significant challenges while attempting to monitor security related activities. The varying attributes embedded within each layer as well as the attribute interdependencies within and across layers takes measurement complexity to an exponential state. The many interdependencies at play in an interconnected infrastructure further exacerbates the ability to measure overall security assurance. Then enters the patient attacker who infiltrates one layer of this security system and waits for the opportune time to infiltrate another layer. The ability to simulate and understand risk with respect to time in this dynamic environment is critical to the decision maker who …
Implementation Of Second-Order Correlation Spectroscopy (Socos) Via All- Gaussian Coherent Stokes And Anti-Stokes Raman Scattering, Supriya Nagpal
Implementation Of Second-Order Correlation Spectroscopy (Socos) Via All- Gaussian Coherent Stokes And Anti-Stokes Raman Scattering, Supriya Nagpal
Theses and Dissertations
Powerful spectroscopic techniques increasingly involve nonlinear processes that arise due to the convolution of more than one electric field - input laser pulse. Analyzing the output of optical processes like these demands the utilization of deterministic improvement tools. Three-color coherent Raman scattering represents a complex non-degenerate four wave mixing process that includes contributions from both resonant and non-resonant interaction of the three input fields to generate a signal. In order to quantify these contributions, effective differentiation of the non- resonant (background) from the resonant (coherent signal) is required. These contributions can be differentiated based on how the molecular vibrational modes …
Implementation Of Uas-Based P-Band Signals Of Opportunity Receiver For Root-Zone Soil Moisture Retrieval, Preston Peranich
Implementation Of Uas-Based P-Band Signals Of Opportunity Receiver For Root-Zone Soil Moisture Retrieval, Preston Peranich
Theses and Dissertations
Root-zone soil moisture (RZSM) is an important variable when forecasting plant growth, determining water availability during drought, and understanding evapotranspiration as a flux. However, current methods indirectly estimate RZSM using data assimilation, which requires time-series data to make model-based predictions. This is because direct measurement requires a lower frequency signal, typically P-band and below (<500MHz), to reach root zone depths and, in turn, necessitates a larger antenna to be deployed in space, which is often unfeasible. A new remote sensing technique known as Signals of Opportunity (SoOp) reutilizes transmitted communication signals to perform microwave remote sensing. This means that SoOp platforms need not include a transmitter, but rather rely on passive radar technology to make measurements. This thesis details the development of a UAS-based P-band SoOp receiver instrument. This platform will be used to progress the state-of-art in techniques for direct measurement of RZSM.
Uvc Disinfection Of Covid-19 And Associated Bacteria On Personal Protective Equipment, Ryden Christopher Smith
Uvc Disinfection Of Covid-19 And Associated Bacteria On Personal Protective Equipment, Ryden Christopher Smith
Theses and Dissertations
The COVID-19 pandemic has been an unprecedented public health crisis around the world and has created novel needs in the healthcare industry. Primary among these needs is a vast shortage in personal protective equipment (PPE) such as masks and gloves. This is problematic due to the near constant of COVID-19 cases in hospitals around the United States. In an effort to meet the need for more PPE, new disinfection techniques must be found to "recycle" used PPE. UVC light has previously been used by healthcare facilities for years to disinfect surfaces such as stainless steel and are frequently used in …
Machine Learning For Wireless Signal Learning, Logan Smith
Machine Learning For Wireless Signal Learning, Logan Smith
Theses and Dissertations
Wireless networks are vulnerable to adversarial devices by spoofing the digital identity of valid wireless devices, allowing unauthorized devices access to the network. Instead of validating devices based on their digital identity, it is possible to use their unique "physical fingerprint" caused by changes in the signal due to deviations in wireless hardware. In this thesis, the physical fingerprint was validated by performing classification with complex-valued neural networks (NN), achieving a high level of accuracy in the process. Additionally, zero-shot learning (ZSL) was implemented to learn discriminant features to separate legitimate from unauthorized devices using outlier detection and then further …
The Fracture Behavior Of Stitched Sandwich Composites, Daniel Adam Drake
The Fracture Behavior Of Stitched Sandwich Composites, Daniel Adam Drake
Theses and Dissertations
The purpose of this research is to evaluate the influence of through-the-thickness reinforcements on the fracture behavior of stitched sandwich composites and to develop predictive methodologies to aid in simulating their damage-tolerant capability. Sandwich composites are widely used for their high stiffness-to-weight ratio due to their unique material architecture, which is composed of two rigid, outer facesheets that are bonded to a light-weight internal core. However, sandwich composites are limited by their low interlaminar strengths and can develop core-to-facesheet separation when subjected to low out-of-plane loads. In this study, sandwich composites were manufactured with through-the-thickness reinforcements, or stitches, to act …
Object Detection And Sensor Data Processing For Off-Road Autonomous Vehicles, Timothy Foster
Object Detection And Sensor Data Processing For Off-Road Autonomous Vehicles, Timothy Foster
Theses and Dissertations
Autonomous vehicles require intelligent systems to perceive and navigate unstructured envi- ronments. The scope of this project is to improve and develop algorithms and methods to support autonomy in the off-road problem space. This work explores computer vision architectures to support real-time object detection. Furthermore, this project explores multimodal deep fusion and sensor processing for off-road object detection. The networks are compared to and based off of the SqueezeSeg architecture. The MAVS simulator was utilized for data collection and semantic ground truth. The results indicate improvements from the SqueezeSeg performance metrics.
Automating Precision Drone Landing And Battery Exchange, Mia Scheider
Automating Precision Drone Landing And Battery Exchange, Mia Scheider
Theses and Dissertations
As drones become more widespread throughout modern industry, the demand for drone automation increases. Drones are used for many applications, but their effectiveness relies heavily on their battery life. By designing, implementing, and evaluating an automatic drone landing and battery exchange system, drone missions can be more streamlined and efficient by eliminating the need for manual battery exchange. Previous projects within this topic rely on high-precision landing combined with a manipulator with low degrees of freedom for battery removal. This project offers a solution that allows less strict landing requirements to better fit drones of different sizes and shapes for …
A Functional Analysis Of The Glycine Max H2a.Z9 Gene Family In Relation To Defense To Heterodera Glycines Parasitism, Sudha Acharya
A Functional Analysis Of The Glycine Max H2a.Z9 Gene Family In Relation To Defense To Heterodera Glycines Parasitism, Sudha Acharya
Theses and Dissertations
The histone 2A (H2A) variant Z (H2A.Z) regulates gene expression, replacing H2A predominately at +1 nucleosomes. Whereas, H2A.Z can act as either a positive or negative transcriptional regulator, this research focuses on its transcriptional activation role. This thesis focuses on examining the Glycine max HTA9 gene family (H2A.Z9). The Arabidopsis thaliana HTA9 protein sequence was used to query the G. max proteome resulting in identification of five H2A.Z9 (H2A.Z9-1-5) paralogs. H2A.Z9-1, H2A.Z9-2, H2A.Z9-4, and H2A.Z9-5 are expressed within Heterodera glycines-parasitized root cells undergoing defense. All 5 paralogs, including H2A.Z9-3, were studied in transgenic-functional analyses. Data demonstrates that H2A.Z9 overexpression leads …
Evaluation Of Soybean [Glycine Max (L.) Merr.] Quality Following Automatic Fungicide And Harvest Aid Applications Under Delayed Harvest Conditions In The Mid-Southern U. S., Robert Louis Adams Ii
Evaluation Of Soybean [Glycine Max (L.) Merr.] Quality Following Automatic Fungicide And Harvest Aid Applications Under Delayed Harvest Conditions In The Mid-Southern U. S., Robert Louis Adams Ii
Theses and Dissertations
Soybean growers in the mid-southern U.S. face many challenges imposed by adverse weather conditions that vary spatially and temporally. As a result, growers experience variations in soybean seed quality, grain quality, and yield. While not every harvest season experiences extremes in environmental conditions, those that do may result in major quality issues that could lead to significant financial losses. Therefore, the objective of this research was to evaluate quality as it relates to delayed harvest conditions for soybean following common management practices such as fungicide application to mitigate spread of pathogens or harvest aid application to facilitate more efficient harvest. …
Modeling Statistical Distributions And Evaluating Properties Of Mill-Run Lumber, Guangmei Cao Anderson
Modeling Statistical Distributions And Evaluating Properties Of Mill-Run Lumber, Guangmei Cao Anderson
Theses and Dissertations
Although it is common to model modulus of elasticity (MOE) and modulus of rupture (MOR) of graded lumber as normal, lognormal, or Weibull distributions, recent theories and empirical practices have cast doubt on these models. Mathematical proofs have been used to shown how the MOR distributions of graded lumber can be derived from the MOR distributions of mill-run populations. The MOR distribution of a graded lumber subpopulation is "pseudo- truncated" and does not exhibit the same theoretical form as the mill-run population from which it was drawn. Therefore, it is essential to explore the properties of mill-run lumber populations and …
Impact Of Altered Polyamine Metabolism On Streptococcus Pneumoniae Capsule, Moses Babatunde Ayoola
Impact Of Altered Polyamine Metabolism On Streptococcus Pneumoniae Capsule, Moses Babatunde Ayoola
Theses and Dissertations
This dissertation is a compilation of published works and a manuscript that seek to understand the possible role of polyamines in the regulation of capsule in Streptococcus pneumoniae (Spn, pneumococcus). Spn remains a major health risk worldwide while the capsule is widely recognized as the principal virulence factor. Polyamines on the other hand are small hydrocarbon molecules known to regulate a number of cellular processes in bacteria. This work investigates the impact of deletion of polyamine biosynthesis gene, SP_0916 (cadA, lysine decarboxylase at the time of first and second publication), on protein expression and the capsule biosynthesis of virulent pneumococcal …
Recognizing Algebraically Constructed Graphs Which Are Wreath Products., Rachel V. Barber
Recognizing Algebraically Constructed Graphs Which Are Wreath Products., Rachel V. Barber
Theses and Dissertations
It is known that a Cayley digraph of an abelian group A is isomorphic to a nontrivial wreath product if and only if there is a proper nontrivial subgroup B of A such that the connection set without B is a union of cosets of B in A. We generalize this result to Cayley digraphs of nonabelian groups G by showing that such a digraph is isomorphic to a nontrivial wreath product if and only if there is a proper nontrivial subgroup H of G such that S without H is a union of double cosets of H in G. …
Polymorphism Of Wrky Factors In Corn Inbred Lines Carrying Aflatoxin Resistance Quantitative Trait Loci, Akanksha Awasthi
Polymorphism Of Wrky Factors In Corn Inbred Lines Carrying Aflatoxin Resistance Quantitative Trait Loci, Akanksha Awasthi
Theses and Dissertations
Aflatoxin is a highly carcinogenic secondary metabolite produced by Aspergillus flavus contributing to significant loss of corn production. There are several breeding techniques to make the corn resistant to aflatoxin accumulation with the genotype having desirable characters. Corn- resistant inbred line Mp313E provides resistance against A. flavus. Near-isogenic lines containing QTLs were developed by backcrossing Mp313E (resistant parent) and Va35 (susceptible parent). WRKY transcription factors play an important role in the growth and development of plants. Searching DNA markers associated with these WRKY genes is a considerable approach for the plant breeders. In this study, PCR and agarose gel electrophoresis …
Evaluation Of The Rainfastness Of Selected Insecticides In Cotton, Sara Inez Barrett
Evaluation Of The Rainfastness Of Selected Insecticides In Cotton, Sara Inez Barrett
Theses and Dissertations
Rainfastness of insecticides is an understudied aspect of agricultural research. Little is known about the residual of commonly used products for key pests of cotton, as well as their residual after a rainfall event. This project was designed to evaluate the impact of rainfall on the performance of commonly used insecticides for tobacco thrips, Frankliniella fusca (Hinds); tarnished plant bug, Lygus lineolaris (Palisot de Beauvois); and bollworm, Helicoverpa zea (Boddie), management in cotton. Laboratory and field experiments suggest that rainfall occurring within 16 hours after application had a negative impact on the performance of most insecticides. Chemical analyses of leaf …
Once Upon A Product: Online Product Descriptions, Product-Level Narratives, And The Perceived Customization Effect, Christian Barney
Once Upon A Product: Online Product Descriptions, Product-Level Narratives, And The Perceived Customization Effect, Christian Barney
Theses and Dissertations
Nearly every element of human life has a strong narrative component, from music (Kramer, 1991, McClary, 1997) to psychology (McAdams, 2008; Sarbin, 1986) to museums (Austin, 2010) and beyond. In the marketing of products, particularly products online, narratives may be a severely underutilized resource. As the global pandemic has shifted consumption increasingly online (Ecola et al., 2020, Melton, 2020), marketers are challenged to find new ways to make their product appealing to consumers without the ability of physical experiences that help connect a consumer to a product (Thaler, 1980; Peck and Shu, 2009). One way in which product attachment and …
Multispectral In-Field Sensors Observations To Estimate Corn Leaf Nitrogen Concentration And Grain Yield Using Machine Learning, Razieh Barzin
Multispectral In-Field Sensors Observations To Estimate Corn Leaf Nitrogen Concentration And Grain Yield Using Machine Learning, Razieh Barzin
Theses and Dissertations
Nitrogen (N) is the most critical fertilizer applied nutrient for supporting plant growth. It is a critical part of photosynthesis as a component of chlorophyl, hence it is a key indicator of plant health. In recent years, rapid development of multispectral sensing technology and machine learning (ML) methods make it possible to estimate leaf chemical components such as N for predicting yield spatially and temporally. The objectives of this study were to compare the relationships between canopy reflectance and corn (Zea mays L.) leaf N concentration acquired by two multispectral sensors: red-edge multispectral camera mounted on the Unmanned Aerial Vehicle …
Multi-Cohort Examination Of Sedentary Behavior, Physical Activity, And Metabolic Syndrome, Robert Edward Booker Jr.
Multi-Cohort Examination Of Sedentary Behavior, Physical Activity, And Metabolic Syndrome, Robert Edward Booker Jr.
Theses and Dissertations
Cardiometabolic diseases are the leading causes of worldwide mortality, of which metabolic syndrome is a major contributor. Increased sedentary behavior and decreased physical activity have been independently associated with increased risk of developing metabolic syndrome and subsequent maladies. Likewise, the development of more contemporary methodologies of measuring metabolic syndrome allow for a more nuanced examination of risk. However, these new methodologies lack extensive utilization among the physical activity epidemiology literature. The scarcity of research incorporating the independent relations between sedentary behavior, physical activity, and contemporary methodologies to measure metabolic syndrome warrants additional investigation. This dissertation aimed to further discern these …
A Climatology Of Tornado Outbreak Environments Derived From Unsupervised Learning Methods, Justin Alan Bowles
A Climatology Of Tornado Outbreak Environments Derived From Unsupervised Learning Methods, Justin Alan Bowles
Theses and Dissertations
Tornado outbreaks (TO) occur every year across the continental United States and are a result of various synoptic scale, mesoscale, and climatological patterns. This study looks to find what patterns exist among the various scales and how that relates to the climatology of the TOs. In order to find these patterns, principal component analysis (PCA) and a cluster analysis were conducted to differentiate the patterns of data. Four distinct clusters of TOs were found with varying synoptic and mesoscale patterns as well as distinct climatological patterns. An interesting result from this study includes the shifting of TO characteristics over time …
Analysis Of Surface Water For Irrigation In The Big Sunflower River Watershed, Meredith Lynn Brock
Analysis Of Surface Water For Irrigation In The Big Sunflower River Watershed, Meredith Lynn Brock
Theses and Dissertations
Exploitation of groundwater and excess nutrient runoff are major issues plaguing agriculture and streams in the Lower Mississippi River Basin, and increased irrigation intensity has yielded a proportionate increase in water use. Quantifying the use and effects of conservation practices like on-farm water storage (OFWS) systems will justify continued adoption of these practices to mitigate groundwater decline and nutrient runoff. Since 2010, over 795 hectares of surface water storage has been added in the Big Sunflower River Watershed, and analysis of aquifer saturation shows a recent rise in the water table and a decrease in seasonal water table drawdowns. Modeling …
Taste Of Grief & Other Unconventional Love Stories, Madison Brown
Taste Of Grief & Other Unconventional Love Stories, Madison Brown
Theses and Dissertations
In her book The Hidden Machinery: Essays on Writing, Margot Livesey uses the phrase "the hidden machinery" to refer to two different aspects of novel making: on the one hand, how certain elements of the text characters, plot, imagery work together to make an overarching argument; on the other hand, how the secret, psychic of life of the author, and the larger events of his or her time and place, shape the argument (29). To me, the interconnected craft elements of fiction remains an ongoing enigma. I will delve into the hidden machinery of two authors with whom my own …
Effectiveness Of Equine Assisted Psychotherapy & Learning For Substance Use Disorder Treatment In College-Age Young Adults, Katherine Abigail Cagle-Holtcamp
Effectiveness Of Equine Assisted Psychotherapy & Learning For Substance Use Disorder Treatment In College-Age Young Adults, Katherine Abigail Cagle-Holtcamp
Theses and Dissertations
With overdose deaths and residential addiction treatment admittance increasing, more treatment options are necessary to meet the demand of services. Equine assisted psychotherapy and learning (EAPL) is a relatively new therapeutic tool in addiction treatment for individuals battling substance use disorder (SUD), and thus, lacks a solid evidence base to be implemented consistently and effectively. The purpose of this dissertation was to determine the effectiveness of EAPL in creating an emotionally safe environment for learning for college-age young adults with a particular focus on those struggling with SUD. This was accomplished in a series of projects focused on: 1) implementing …