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Articles 541 - 570 of 42330
Full-Text Articles in Entire DC Network
2021 - The Second Annual Fall Symposium Of Student Scholars
2021 - The Second Annual Fall Symposium Of Student Scholars
Symposium of Student Scholars Program Books
The full program book from the Fall 2021 Symposium of Student Scholars, held on November 18, 2021. Includes abstracts from the presentations and posters.
An Overview In Protection Coordination Methods For Mitigation Dgs Penetration In Distribution System., Adel Amer, Eid Abdelbaki Gouda, Akram Elmitwally
An Overview In Protection Coordination Methods For Mitigation Dgs Penetration In Distribution System., Adel Amer, Eid Abdelbaki Gouda, Akram Elmitwally
Mansoura Engineering Journal
This paper introduces an overview for the benefits of distributed generations (DGs) in many aspects related to reliability of distribution system. Also, introduce the issues developed in protection system regarding the penetration of (DGs) in distribution system. A review is introduced of different scenarios of coordination between the common protection devices such as overcurrent relays, fuses, reclosers in distribution system. Furthermore, a review of protection coordination scenarios that developed to mitigate the DGs penetration that divided into two scenarios, one of them with minimum change in protection system such as disconnect DG from network when fault happen, limits DG output …
Differential Methods In Modern Biological Data Analysis, Micah Thornton
Differential Methods In Modern Biological Data Analysis, Micah Thornton
Statistical Science Theses and Dissertations
Analysis of biological data for differentiation of organisms/cells within and across species or even the same organism is important to a wide variety of applications. This work considers three different biological data sets at the genome, proteome, and epigenome levels: respectively, DNA sequences, glycosalation data, and DNA methylation. We explore some statistical modeling approaches for handling these modern datasets, and provide a relevant set of experiments for explanation and illustration.
First, genomic Fourier coefficients, which capture information about the harmonics of genetic sequences in terms of nucleotide pattern recurrence are investigated as summary metrics for medium sized virus genomes from …
Exact Inference For Meta-Analysis Of Rare Events And Its Application In Human Genetics, Yanqiu Shao
Exact Inference For Meta-Analysis Of Rare Events And Its Application In Human Genetics, Yanqiu Shao
Statistical Science Theses and Dissertations
Meta-analysis is a statistical approach that integrates data from multiple studies. By aggregating information, it enhances the power to detect the effects of interest and provides an estimate of the effect size with both accuracy and precision. Both fixed-effect and random-effect models are developed and widely used in biomedical research including clinical trials and genomic studies. In the case of rare events data, conventional meta-analysis methods that rely on large sample approximation may not be able to make reliable inferences. There have been various approaches proposed to deal with this situation, in particular, rare binary adverse events in clinical studies. …
Bayesian Multiple Instance Learning With Application To Cancer Detection Using Tcr Repertoire Sequencing Data, Danyi Xiong
Bayesian Multiple Instance Learning With Application To Cancer Detection Using Tcr Repertoire Sequencing Data, Danyi Xiong
Statistical Science Theses and Dissertations
As a branch of machine learning, multiple instance learning (MIL) learns from a collection of labeled bags, each containing a set of instances. Each instance is described by a feature vector. The learning process is weakly supervised due to ambiguous instance labels. Since its emergence, MIL has been applied to solve various problems including content-based image retrieval, object tracking/detection, and computer-aided diagnosis. In biomedical research, the use of MIL has been focused on medical image analysis and molecule activity prediction.
The first part of this dissertation focuses on a comparative study of MIL methods for a novel biomedical application. To …
2021 Fall Commencement, Harding University
2021 Fall Commencement, Harding University
Commencement Programs
Program for the Harding University Commencement on December 18.
Commencement Speaker: Dan Davidson
Soil Moisture Dependent Runoff In A Dryland Region: An Investigation Of The Role Of Antecedent Conditions, Monitoring, And Modeling Strategies, Gerhard Schoener
Soil Moisture Dependent Runoff In A Dryland Region: An Investigation Of The Role Of Antecedent Conditions, Monitoring, And Modeling Strategies, Gerhard Schoener
Civil Engineering ETDs
Approximately 30% of the Earth’s land surface is characterized as arid or semiarid, including much of the western United States. Accurate runoff predictions are important for informed watershed management, particularly in rapidly urbanizing areas. Infiltration excess overland flow is the dominant mechanism for runoff generation in many dryland basins, and event-based infiltration or loss models are commonly used to estimate runoff. However, predictions are associated with considerable uncertainty due to the role antecedent soil moisture, an initial condition that must be set by the modeler. The objectives of my research were to (1) evaluate the impact of antecedent soil moisture …
Estimating The Effect Of Newly Proposed Transportation Planning Development For Congested Urban Areas In Greater Cairo Case Study: El Fardous Axis, New Cairo., Ahmed Mohamed, Ahmed Hassan, Abd El Zaher Mostafa, Ahmed Abd Elghani
Estimating The Effect Of Newly Proposed Transportation Planning Development For Congested Urban Areas In Greater Cairo Case Study: El Fardous Axis, New Cairo., Ahmed Mohamed, Ahmed Hassan, Abd El Zaher Mostafa, Ahmed Abd Elghani
Mansoura Engineering Journal
This research aims at developing a transport model helping in conducting demand predicting for a newly proposed corridor, El Fardous axis, connecting East and downtown Cairo. The transport model is first calibrated and validated for existing traffic conditions and then, it is used to predict the future traffic conditions in the study area, as well as an assessment of the impact of planning data changes, including any proposed development. First, a study area was determined; then, a transport model was developed as a tool for the estimating the demand on the corridor at opening and future modeling years. The data …
Words, Music, Memory: An Exploration Of Four Soprano Song Cycles By Lori Laitman Based On Poetry By Victims Of The Holocaust, Sheena Ramirez
Words, Music, Memory: An Exploration Of Four Soprano Song Cycles By Lori Laitman Based On Poetry By Victims Of The Holocaust, Sheena Ramirez
Dissertations, 2020-current
This Doctor of Musical Arts document is an exploration of the four soprano song cycles by Lori Laitman based on text settings from victims of the Holocaust, with a specific focus on the compositional and performance devices that both underpin the power of words to bear witness to lived experience and ensure the process of musical commemoration as an act of historical preservation. Lori Laitman (b. 1955) has composed ten distinct song cycles commemorating victims of the Holocaust, of which four are included in this study – I Never Saw Another Butterfly, In Sleep the World is Yours, The Ocean …
Deep And Transfer Learning Approaches For Pedestrian Identification And Classification In Autonomous Vehicles, Alex Mounsey, Asiya Khan, Sanjay Sharma
Deep And Transfer Learning Approaches For Pedestrian Identification And Classification In Autonomous Vehicles, Alex Mounsey, Asiya Khan, Sanjay Sharma
School of Engineering, Computing and Mathematics
Pedestrian detection is at the core of autonomous road vehicle navigation systems as they allow a vehicle to understand where potential hazards lie in the surrounding area and enable it to act in such a way that avoids traffic-accidents, which may result in individuals being harmed. In this work, a review of the convolutional neural networks (CNN) to tackle pedestrian detection is presented. We further present models based on CNN and transfer learning. The CNN model with the VGG-16 architecture is further optimised using the transfer learning approach. This paper demonstrates that the use of image augmentation on training data …
The Negative Impacts Of Social Media Use On Adolescent Social-Emotional Development, Jill E. Funk
The Negative Impacts Of Social Media Use On Adolescent Social-Emotional Development, Jill E. Funk
Masters Projects
The topic of this project is to inform all caregivers- educators, administration, parents/guardians- including students themselves of the negative impacts social media use can have on the social-emotional development of adolescents. This project involves teenagers also known as “iGen”, their social-emotional development, appropriate use of social media, and digital citizenship. In developed countries where teenagers frequently use social media, there is a great need to be aware of the risks that can result from this usage such as poor body image, self-esteem issues, depressive symptoms, cyberbullying, and sometimes suicidal thoughts. Parents/guardians, teachers, librarians, school counselors, and school administrators who are …
Discovery Of An Olivine-Type Lithium Manganese Thiophosphate, Limnps4,: Via A Building Block Approach, Srikanth Balijapelly, Kartik Ghosh, Aleksandr V. Chernatynskiy, Amitava Choudhury
Discovery Of An Olivine-Type Lithium Manganese Thiophosphate, Limnps4,: Via A Building Block Approach, Srikanth Balijapelly, Kartik Ghosh, Aleksandr V. Chernatynskiy, Amitava Choudhury
Physics Faculty Research & Creative Works
An olivine-type orthothiophospate LiMnPS4 has been synthesized for the first time through a building block approach by reacting preformed ternary lithium thiophospate with MnCl2. Diffuse reflectance measurements show an optical band gap of 2.36 eV, which is further confirmed by DFT calculations. Irreversible weak ferromagnetic ordering and metamagnetism are verified through preliminary magnetic measurements.
Functional Structure Of Biomacromolecules In Plant Biomass Using Solid-State Nmr And Dynamic Nuclear Polarization, Alex Kipchirchir Kirui
Functional Structure Of Biomacromolecules In Plant Biomass Using Solid-State Nmr And Dynamic Nuclear Polarization, Alex Kipchirchir Kirui
LSU Doctoral Dissertations
This dissertation summarizes the recent findings on complex biomacromolecules in cell wall of plants and fungi which perform important roles in cell recognition, structural build up, and energy storage. Because of the technical difficulty in characterizing these biomacromolecules, which are often polymorphic and disordered in structure, the functional structure of these biomacromolecules remains elusive. In this dissertation, I present two solid-state nuclear magnetic resonance (ssNMR) and dynamic nuclear polarization (DNP) studies of carbohydrate-rich biosystems: the energy-rich plant biomass and disease-relevant, pathogenic fungi.
First, we have investigated the secondary cell wall of plant biomass which is a carbohydrate-rich biosystem using solid …
Biodiversity And Spatial Heterogeneity In Semi-Natural Grasslands In A Mountain Area In Slovakia, Masae Shiyomi, N. Gáborèík, H. Koizumi, A. Javorkova, E. Uhliarova, O. Jezikova
Biodiversity And Spatial Heterogeneity In Semi-Natural Grasslands In A Mountain Area In Slovakia, Masae Shiyomi, N. Gáborèík, H. Koizumi, A. Javorkova, E. Uhliarova, O. Jezikova
IGC Proceedings (1977-2023)
The spatial pattern of vegetation in the following 3 semi-natural grasslands in Banska Bystrica, Slovakia, was observed in August, 1998: (1) a grassland sown with improved herbage plants after plowing in 1991, (2) a grassland oversown with improved herbage plants in 1991, and (3) a natural grassland without any treatment at the time of establishment. A new method of measuring vegetation was adopted: in each grassland, 50 quadrats 50 cm × 50 cm, composed of 4 smaller cells 25 cm × 25 cm, were set up, and all the species in each cell were recorded. The sown grassland displayed the …
Optimum Area Of Semi-Natural Grassland To Maintain Maximum Butterfly And Avian Species Richness In Japan, A. Shoji, K. Kohyama, H. Sasaki
Optimum Area Of Semi-Natural Grassland To Maintain Maximum Butterfly And Avian Species Richness In Japan, A. Shoji, K. Kohyama, H. Sasaki
IGC Proceedings (1977-2023)
To evaluate the optimum area of semi-natural grassland to maintain maximum butterfly and avian species richness in Japan, digitalized grid data of butterfly and avian distribution, as well as vegetation distribution, throughout the country were used. After obtaining logistic regression models explaining the probabilities of occurrence of each species with semi-natural grassland area and latitude as variables, the optimum value was calculated. The expected maximum species richness of butterflies in the country was the highest in the case of about 40 square kilometers of semi-natural grassland per 100 square kilometers, though the value varied somewhat with latitude. The expected maximum …
Managing Grassy Woodlands: Balancing Production And Conservation Of Resources, John G. Mcivor, Neil D. Macleod, S. Mcintyre
Managing Grassy Woodlands: Balancing Production And Conservation Of Resources, John G. Mcivor, Neil D. Macleod, S. Mcintyre
IGC Proceedings (1977-2023)
Eastern Australian eucalypt woodlands are important agricultural areas that have been widely modified during two centuries of European-style use. Despite this they contain important natural resources including significant biodiversity. Long term sustainability of production depends on maintaining resources and management must be for both production and conservation. A research program on four properties in south east Queensland showed the properties were in generally good condition although all had some problems, and has highlighted a number of significant costs and barriers to adopting a more balanced approach to production and conservation.
Species Segregation And Functional Groups In The Hill Country Of New Zealand, I. López, I. Valentine, D. Hedderley, M. G. Lambert
Species Segregation And Functional Groups In The Hill Country Of New Zealand, I. López, I. Valentine, D. Hedderley, M. G. Lambert
IGC Proceedings (1977-2023)
In the hill country of New Zealand, the soil-sward relationship on hill microrelief was studied. Three categories of slope or microsites were distinguished: low, medium and high. The hypothesis was that soil variables of neighbouring microsites differ, and because of this, there is a segregation of species or functional groups of species between the microsites. Soil features, botanical composition and total annual yield were measured in the slope categories in two similar paddocks; one of which had received long-term phosphorus fertilisation and a non-fertilised paddock. ANOVA, cluster analysis and canonical variate analysis were performed on the data. Unsaturated hydraulic conductivity, …
A Mathematical Model Regarding Change In Preferences Of Refugee Settlements, Raaghav Malik, Alice Xu, Ruoxian Huang
A Mathematical Model Regarding Change In Preferences Of Refugee Settlements, Raaghav Malik, Alice Xu, Ruoxian Huang
Rose-Hulman Undergraduate Mathematics Journal
Where cultures meet, there is bound to be conflict to some extent. This especially applies in the case of refugees grouped together when seeking asylum, with different styles of life, socialization, and conflict resolution meeting in one place. This paper focuses specially on three types of conflict resolution(negotiation, mediation, and arbitration) and constructs a differential equation model to study how the interactions between populations cause the number of people following each resolution method to shift. It was found that when there is no existing outside authority or environmental bias towards a resolution method, the method with the greatest number of …
Convergence Properties Of Solutions Of A Length-Structured Density-Dependent Model For Fish, Geigh Zollicoffer
Convergence Properties Of Solutions Of A Length-Structured Density-Dependent Model For Fish, Geigh Zollicoffer
Rose-Hulman Undergraduate Mathematics Journal
We numerically study solutions to a length-structured matrix model for fish populations in which the probability that a fish grows into the next length class is a decreasing nonlinear function of the total biomass of the population. We make conjectures about the convergence properties of solutions to this equation, and give numerical simulations which support these conjectures. We also study the distribution of biomass in the different age classes as a function of the total biomass.
Union Academy: A Freedmen's Bureau School In Gainesville, Florida, Murray D. Laurie
Union Academy: A Freedmen's Bureau School In Gainesville, Florida, Murray D. Laurie
Florida Historical Quarterly
The Union Academy was one of the most important institutions in Gainesville’s black community for over fifty years. It was the town’s first public high school and from its graduating classes came most of Alachua County’s black teachers and black leaders. The facility which housed the Academy was built during Reconstruction by black carpenters who had learned their skill as slaves. Land for the building had been purchased by the school’s board of trustees. A symbol of self-sufficiency and pride for Gainesville’s black citizens for many decades, the Union Academy also represented the value they placed on education.
The Development Of A Novel Blood-Brain Barrier, Organ-On-A-Chip System And The Identification Of Erythrocytes As A Key Contributor To Age-Associated Neurological Decline, Payam Amiri
KGI Theses and Dissertations
Advancements in modern medicine have greatly extended human life expectancy. However, with the onset of age-associated conditions such as Alzheimer’s disease, autoimmune disorders, and certain cancers, healthy aging is becoming an increasingly pressing issue. Blood exchanges between young and old partners demonstrate old blood can cause detrimental effect to the young animal, notably on the brain tissue. However, the complexity of blood makes it difficult to identify what role the individual factors play in the aggregate observed effect. This dissertation seeks to explore the potential effects of erythrocytes on the brain as we age. Erythrocyte morphology and rigidity changes as …
Comparing The Efficiency Of A Marsh-Sill And Oyster Reef Balls In Attenuating Waves, Navid Tahvildari, Alexa Leone
Comparing The Efficiency Of A Marsh-Sill And Oyster Reef Balls In Attenuating Waves, Navid Tahvildari, Alexa Leone
December 17, 2021: Natural and Nature-Based Solutions (Part 2)
No abstract provided.
Carbon Sequestration Benefits Of Coastal Restoration, Brendan Player
Carbon Sequestration Benefits Of Coastal Restoration, Brendan Player
December 17, 2021: Natural and Nature-Based Solutions (Part 2)
No abstract provided.
Agenda- Hampton Roads Sea Level Rise/Flooding Adaptation Forum, Ben Mcfarlane, Wie Yusuf
Agenda- Hampton Roads Sea Level Rise/Flooding Adaptation Forum, Ben Mcfarlane, Wie Yusuf
December 17, 2021: Natural and Nature-Based Solutions (Part 2)
Agenda for the Hampton Roads Sea Level Rise/Flooding Adaptation Forum on December 17, 2021 via Virtual Forum.
- Opening Remarks and Introductions: Ben McFarlane, Hampton Roads Planning District Commission and Dr. Wie Yusuf, Old Dominion University and Virginia Sea Grant
- Navid Tahvildari, of Old Dominion University: Comparing the Efficiency of a Marsh-Sill and Oyster Reef Balls in Attenuating Waves
- Brendan Player, of Stantec: Carbon Sequestration Benefits of Coastal Restoration
- Robert Isdell, of Virginia Institute of Marine Science: Living Shorelines Achieve Functional Equivalence to Natural Fringe Marshes Across Multiple Ecological Metrics
- Closing Remarks and Reminders
Living Shorelines Achieve Functional Equivalence To Natural Fringe Marshes Across Multiple Ecological Metrics, Robert E. Isdell, Donna Marie Bilkovic, Amanda G. Guthrie, Molly M. Mitchell, Randolph M. Chambers, Matthias Leu, Carl Hershner
Living Shorelines Achieve Functional Equivalence To Natural Fringe Marshes Across Multiple Ecological Metrics, Robert E. Isdell, Donna Marie Bilkovic, Amanda G. Guthrie, Molly M. Mitchell, Randolph M. Chambers, Matthias Leu, Carl Hershner
December 17, 2021: Natural and Nature-Based Solutions (Part 2)
No abstract provided.
Evaluation And Improvement Of Nuclear Security Measures At A Radiological Facility In Morocco, Halima Jemmal, Abdelmajid Choukri, Mohammed Mouhib
Evaluation And Improvement Of Nuclear Security Measures At A Radiological Facility In Morocco, Halima Jemmal, Abdelmajid Choukri, Mohammed Mouhib
International Journal of Nuclear Security
Nuclear security combines both concepts of physical security and security culture within a nuclear facility to protect people, property, society and the environment from harmful effects of ionization radiation. Physical security means prevention, detection, and response to unauthorized removal, sabotage, and/or illegal transfer involving radioactive sources and nuclear material. Nuclear security culture is the human factor within the nuclear field which is considered a principal means to support and enhance nuclear security system. This paper presents a study of nuclear security system already established within a radiological facility considering concepts such as: deter, detect, delay, and response layers. This study …
Physics-Informed Machine Learning To Predict Extreme Weather Events, Rthvik Raviprakash, Jonathan Buchanan, Mahdi Bu Ali
Physics-Informed Machine Learning To Predict Extreme Weather Events, Rthvik Raviprakash, Jonathan Buchanan, Mahdi Bu Ali
Discovery Undergraduate Interdisciplinary Research Internship
Extreme weather events refer to unexpected, severe, or unseasonal weather events, which are dynamically related to specific large-scale atmospheric patterns. These extreme weather events have a significant impact on human society and also natural ecosystems. For example, natural disasters due to extreme weather events caused more than $90 billion global direct losses in 2015. These extreme weather events are challenging to predict due to the chaotic nature of the atmosphere and are highly correlated with the occurrence of atmospheric blocking. A key aspect for preparedness and response to extreme climate events is accurate medium-range forecasting of atmospheric blocking events.
Unlike …
An Analysis Of Two Photometric Redshift Methods And Their Uses For Finding Void Galaxies, Rochelle J. Steele
An Analysis Of Two Photometric Redshift Methods And Their Uses For Finding Void Galaxies, Rochelle J. Steele
Theses and Dissertations
An extensive survey of extragalactic objects with accurate distances is difficult to perform. Distance at that scale is commonly found with redshift and most easily identified with spectroscopic observations, which are time intensive. This is especially a concern when surveying for the elusive, possibly non-existent dwarf galaxies in the centers of voids, whose light would be so faint that a spectroscopic survey to find them would be unreasonably time consuming. Photometric methods to calculate redshift could provide a much quicker way to find distance, but the photometric methods used thus far are characterized by large errors that make them unusable …
Phase Effects On Turbulent Transport In The Magnetic Confinement Of Plasmas For Nuclear Fusion, Dempsey Rogers
Phase Effects On Turbulent Transport In The Magnetic Confinement Of Plasmas For Nuclear Fusion, Dempsey Rogers
Physics
With climate change effects on the rise, the global energy infrastructure requires revision. We first provide a brief review of common energy resources as well as their safety and climate effects. We then compare and contrast nuclear fission and fusion based energy schemes. Difficulties based on the requirements of the fusion triple product, as well as the fast neutrons from the deuterium and tritium reaction are also discussed. The lack of sufficient experimental controls in enhanced confinement modes like the I-mode and the H-mode, lead to difficulties satisfying the restrictions imposed by the Greenwald density limit. These combined with several …
3t3-L1 Adipocytes As A Model Of Glut4 Translocation, Aline Collin
3t3-L1 Adipocytes As A Model Of Glut4 Translocation, Aline Collin
Chemistry and Biochemistry
Type 2 diabetes (T2D), a lethal disease, reveals an alarming increase of epidemic proportions and, by 2050, an estimated 1 in 3 adults in the US will suffer from it. Persistent and systemic inflammatory and oxidative stress in adipose tissue and skeletal muscle are recognized as key players in the progression of T2D. T2D is characterized by insulin resistance, the inability of cells to respond to standard circulating levels of insulin, resulting in hyperglycemia. In adipocytes and skeletal muscle, glucose uptake, a vital step in blood glucose regulation, predominantly occurs via the glucose transporter 4 (Glut4) in an insulindependent recruitment …