Digital Commons Network^™

Behavioral Symptoms, Inflammation And Cortisol: Relationship To Cardiac Health And Quality Of Life In Cardiac Rehabilitation Patients, Deborah Anne Sindewald

Dissertations

Background: The experience of a cardiac event is associated with psychological stress, which is often accompanied by depressive mood, fatigue and sleep disturbance (i.e., psycho-behavioral symptoms). To assist in recovery, cardiac patients can participate in a structured rehabilitation program, which provides monitored exercise and health education. There is limited knowledge, however, as to the extent to which cardiac rehabilitation reduces psycho-behavioral symptoms; nor is there knowledge of the association of these symptoms with stress-related biological mediators. Cortisol and inflammatory mediators (e.g., interleukin 6; IL-6) contribute to cardiovascular disease, and are also associated with greater stress perception, depressive mood, fatigue, and …

Effect Of Sulfur And A Perfluoropolyether On The Ignition And Decomposition Of Solid Fuels For Ramjets, Daniel A. Jones

Dissertations

Widening the flammability limits of solid fuels used in ramjet engines broadens the operational range of altitudes and speeds and enhances the possibility of autoigni- tion from incoming air alone. This experimental research studies how to decrease the solid fuel lower flammability limit while maintaining or improving other key thermal and mechanical properties. Candidate fuels are formulated using epoxy cured liquid polysulfide doped with sulfur and a perfluoropolyether. Sulfur doped formulations are hypothesized to produce greater mass fractions of low ignition temperature species to widen flammability limits, but degrade low-temperature mechanical properties. Perfluoropolyether is added to the mixtures to preserve …

Plasma Energization And Dissipation In The Heliosphere, Senbei Du

Dissertations

The energization and dissipation of plasma are ubiquitous processes in the heliosphere. They are the key to some of the most outstanding questions in heliophysics such as coronal heating and the acceleration of solar energetic particles. In this dissertation, we investigate plasma energization and dissipation based on the collisionless kinetic equation. Plasma energization is discussed using the evolution equations of bulk flow and thermal energy densities. In a two-fluid description, it has been suggested that the pressure-strain interaction converts bulk kinetic energy into thermal energy. In a single-fluid description, we find that the bulk acceleration and heating are due to …

Missile Interceptor Integrated Guidance And Control : Single-Loop Higher-Order Sliding Mode Approach, Michael Cross

Dissertations

Traditionally, a missile interceptor's three-loop autopilot relies on every sensor to be working at all times for an intercept to occur. With faulty sensors and countermeasures becoming more sophisticated, sensor improvements alone may not be enough. In this research, an alternative structure is presented that does not rely on multiple sensors. Instead, it consists of a single-loop using only the relative normal velocity as feedback in an integrated guidance and control (IGC) structure. This establishes a direct link between the feedback and the missile's control surfaces. At its core, the IGC uses higher-order sliding mode control techniques to execute the …

Mission Specific Solar Radiation Environment Model (Mssrem) : Peak Flux Model, Zachary Donald Robinson

Dissertations

A new probabilistic model has been presented in the dissertation. The Mission-Specific Solar Radiation Environment Model (MSSREM) peak flux model provides a design reference environment that can be tailored to a specific mission with the mission length, mission duration, and confidence level specified. These reference environments will provide the bounding-case flux for solar energetic particles that will be encountered during the mission at the specified confidence level. The MSSREM peak flux model probabilistically models the environment for six elements (hydrogen, helium, carbon, oxygen, silicon, and iron) and scales these environments to produce the remaining 86 environments for elements Z=1-92. The …

Ablation Heat Transfer Characteristics Of A Polymer Coolant Medium For Warm Gas Generator Applications, Dakota J. Haring

Dissertations

Transporting high temperature solid propellant combustion gas through an ablating coolant tube is one method of lowering gas temperatures and providing clean, soot-free, pressurant for use in roll or divert attitude control systems. By utilizing the emerging technology of ablative warm gas generators, many of the challenges facing future space and kinetic kill vehicle designs may be mitigated. The data provided herein could assist in decreasing the mass, volume, and cost of warm gas generators capable of meeting the higher performance demands of the future. The objective of this experimental research is to characterize the convective heat transfer correlations for …

Testing An Ecological Model Of Obesity Among School-Age Children: Identifying Targets For Tailored Intervention, Dorothy Mcleod Loren

Dissertations

Childhood obesity rates remain historically high in the US. One way to conceptualize the many factors that contribute to obesity is through the use of an ecological model. There is a particular need to adapt and test this type of comprehensive model among vulnerable racial/ethnic and socioeconomic groups. Using a large sample of US youth drawn from the ECLS-K:2011 (N=8,225), this project first investigated an ecological model of childhood obesity from kindergarten to second grade, including factors such as child physical activity, child screen time, child bedtime, family physical activity, family food insecurity, family meals, and neighborhood safety. Then, it …

Reforming Sensory Disability In Early Modern England, Mary Lutze

Dissertations

Reforming Sensory Disability in Early Modern England traces early modern literary depictions of blindness and deafness during the Reformation. the project proposes an inherently dynamic early modern religious model of disabilities: first characterized by its initial rejection of England's prior faith tradition, then by doctrinal negotiation among reformed dissenters. It analyzes the shift in disability representation in popular literature of the sixteenth and seventeenth century before culminating in an examination of seventeenth-century deaf education. Finally, the project proposes that the seventeenth-century advent of deaf education should be read as a concrete ideological shift in English society's perception of the disabled.

Black Males Accessing And Usage Of Sex Education In Mississippi, Devin D. Moss

Dissertations

in the United States, sex education curricula sponsored by public school districts varies from state-to-state. Nationally, this arrangement provides students with varied levels of exposure to critical sex education information. Sex education is mandatory in Mississippi, but is not required to be medically accurate, include HIV education, and be culturally appropriate or unbiased. Mississippi's sex education curriculum is mandated to be age appropriate and can promote religion. the parameters of sex education in Mississippi have led to sex information gaps for youth. Black males experience this lack of information and turn to other sources to fill in the resulting information …

Voices Of African American Women In Computer Science: Implications For K-12 Stem Education And Beyond, Yolanda B. Sanders

Dissertations

Voices of African American Women in Computer Science is a qualitative dissertation about African American women who have successfully completed a computer science degree. This research explored how computer science education departments in predominantly White institutions (PWIs) contribute to the oppression of African American females. Critical race feminism (CRF) provides the platform that places the voices of women of color who have successfully obtained a computer science degree despite difficulties that have been imposed by the reality of racial biases that are present throughout the American education system and American culture at large. This research was guided by the following …

Teacher And Principal Perceptions Of Principal Leadership Practices Having The Strongest Relationship To Student Achievement, Michael C. Conran

Dissertations

This qualitative case study examined the perceptions of high performing elementary, middle and high school teachers and principals, as evidenced by their students' high achievement levels, relative to the principal leadership practices having the strongest relationship to student achievement. The Marzano Focused School Leader Evaluation Model, which contains six domains and 21 elements identifying comprehensively researched and evidence-based principal leadership practices, was used as a conceptual framework. The identification of the specific principal leadership practices having the strongest relationship to student achievement hinged on the delineation of the perceptions of the teacher and principal study participants relative to the principal …

Job Satisfaction As A Function Of The Five Factor Model Of Personality In The Community Mental Health Center Environment Of Northern Indiana, Robert Ryan

Dissertations

Problem

The purpose of this study was to examine the relationship between the Big Five personality type indicators and job satisfaction in the community mental health setting. The focus of this study was to gain a better understanding of whether a not-for-profit can benefit from the use of a brief personality instrument to recruit and retain individuals with the highest probability of job satisfaction. This research complements previous research which has revealed a positive correlation between certain Big Five personality traits and job satisfaction in several sectors. The research population for this study consisted of community mental health employees working …

A Quantitative Comparative Study Of Employee Engagement Among Full-Time Seventh-Day Adventist Pastors In The North American Division Of Seventh-Day Adventists And Its Relationship To Level Of Participation In Annual Pastoral Continuing Education (Ce), Sharon Aka

Dissertations

Problem

Research was needed to determine the relationship between pastoral CE and employee engagement to guide policy implementation as well as future efforts for pastoral professional development within the Adventist organization.

Method

This study presents a new theoretical Adventist pastor development model integrating several theories and concepts including: the call, the Seven Core Qualities of an NAD pastor framework, andragogy, CE, SDT, and employee engagement. Employee engagement was measured using Herzberg's hygiene-motivation factor employee engagement theory. Comparisons were conducted on six groups of pastors related to selfreported participation in annual CE.

Results

Major research findings indicate that pastors, perhaps inevitably …

The Use Of Differentiated Instruction By Teachers Of The Columbia Union Seventh-Day Adventists, Jennifer Jill Bianco

Dissertations

The Problem

Teachers in the Columbia Union of Seventh-day Adventists were provided training in differentiated instruction training during the summers of 2013-2016. However, there were no formal follow-up communications to report or to share their experiences with implementing the newly learned method of instruction. The purposes of this study were (a) to describe the teachers' beliefs and levels of practice of differentiated instruction after completing the training; (b) to determine if there are differences in beliefs and practice; and (c) to describe methods of support for implementation of differentiated instructions.

Method

This study used a mixed-method design. The quantitative section …

A Stratigraphic Analysis Of The Middle Bronze Age From The Tell Taanach Excavations In 1963, '66 And '68, Ronald H. Wakeman

Dissertations

The Problem

One the most troubling issues for Near Eastern Archaeology is the lack of published excavation reports. Part of the problem is that archaeologists love to dig, but dislike writing publication reports. As a result, final reports are lacking for substantial number of archaeological excavations. Without a final report, the results of an archaeologist season and new information is lost forever. Dr. Paul Lapp of Pittsburgh Theological Seminary lead excavations at Tell Taanach in the West Bank, Palestine in 1963, ’66 and ’68. At the end of each season he wrote and published preliminary reports. Preliminary reports provide an …

Function And Nature Of The Heavenly Sanctuary/Temple And Its Earthly Counterparts In The New Testament Gospels, Acts, And The Epistles: A Motif Study Of Major Passages, Leonardo G. Nunes

Dissertations

The present dissertation examines the function and nature of the heavenly sanctuary/temple and its relationship to the earthly counterparts in the major passages of the New Testament (NT) Gospels, Acts, Pauline and General Epistles where the sanctuary/temple motif is found (a total of twenty-two passages). After the introductory chapter, chapters 2, 3, and 4 are devoted to the exegetical analysis of these major passages following canonical order and divisions of the NT. This exegetical analysis has detected the relevance of the heavenly sanctuary/temple motif for NT studies, i.e., how its function, nature, and relationship to the earthly counterparts influence the …

Exploring The Influence Of Racial Diversity On Church Growth: A Case Study Of Buffalo Suburban Seventh-Day Adventist Church In Lancaster, New York, Luis A. Mancebo

Dissertations

There is a growing phenomenon in the United States of America: multiracial churches. While earlier research indicates that church growth typically happens in more homogenous congregations, more and more churches are growing that are multiracial. This case study focused on the growth of Buffalo Suburban Seventh-day Adventist Church (BSSDAC), a multiracial church in Lancaster, New York. Data collection was done through focus groups of church leaders and members, and a review of any available church and membership records.

BSSDAC started as a White congregation in Buffalo in 1885 and moved to the suburbs in the 1980s where the initial transition …

The Inclusion Of Special Education Services In Seventh-Day Adventist Schools In New York City, Marlene Morris-Lambert

Dissertations

Problem

Over the past fifty years, there has been an increase in the number of students with special needs in the U.S., from 1.8% of students in 1977 to 5.7% of students in 2006 and 13.0% of students in 2015. Federal legislation such as the Individuals with Disabilities Education Act and the No Child Left Behind Act support equal education for this growing population of students, and special-needs educators have responded by implementing full-inclusion strategies. Public schools continue to make advances in implementing inclusion practices since they are legally bound to do so. The Seventh-day Adventist community is one of …

Image Instance Segmentation: Using The Cirsy System To Identify Small Objects In Low Resolution Images, Orghomisan William Omatsone

Dissertations

The CIRSY system (or Chick Instance Recognition System) is am image processing system developed as part of this research to detect images of chicks in highly-populated images that uses the leading algorithm in instance segmentation tasks, called the Mask R-CNN. It extends on the Faster R-CNN framework used in object detection tasks, and this extension adds a branch to predict the mask of an object along with the bounding box prediction. Mask R-CNN has proven to be effective ininstance segmentation and object de-tection tasks after outperforming all existing models on evaluation of the Microsoft Common Objects in Context (MS COCO) …

Machine Learning Assisted Gait Analysis For The Determination Of Handedness In Able-Bodied People, Hugh Gallagher

Dissertations

This study has investigated the potential application of machine learning for video analysis, with a view to creating a system which can determine a person’s hand laterality (handedness) from the way that they walk (their gait). To this end, the convolutional neural network model VGG16 underwent transfer learning in order to classify videos under two ‘activities’: “walking left-handed” and “walking right-handed”. This saw varying degrees of success across five transfer learning trained models: Everything – the entire dataset; FiftyFifty – the dataset with enough right-handed samples removed to produce a set with parity between activities; Female – only the female …

An Examination Of The Smote And Other Smote-Based Techniques That Use Synthetic Data To Oversample The Minority Class In The Context Of Credit-Card Fraud Classification, Eduardo Parkinson De Castro

Dissertations

This research project seeks to investigate some of the different sampling techniques that generate and use synthetic data to oversample the minority class as a means of handling the imbalanced distribution between non-fraudulent (majority class) and fraudulent (minority class) classes in a credit-card fraud dataset. The purpose of the research project is to assess the effectiveness of these techniques in the context of fraud detection which is a highly imbalanced and cost-sensitive dataset. Machine learning tasks that require learning from datasets that are highly unbalanced have difficulty learning since many of the traditional learning algorithms are not designed to cope …

Transformer Neural Networks For Automated Story Generation, Kemal Araz

Dissertations

Towards the last two-decade Artificial Intelligence (AI) proved its use on tasks such as image recognition, natural language processing, automated driving. As discussed in the Moore’s law the computational power increased rapidly over the few decades (Moore, 1965) and made it possible to use the techniques which were computationally expensive. These techniques include Deep Learning (DL) changed the field of AI and outperformed other models in a lot of fields some of which mentioned above. However, in natural language generation especially for creative tasks that needs the artificial intelligent models to have not only a precise understanding of the given …

Identifying Online Sexual Predators Using Support Vector Machine, Yifan Li

Dissertations

A two-stage classification model is built in the research for online sexual predator identification. The first stage identifies the suspicious conversations that have predator participants. The second stage identifies the predators in suspicious conversations. Support vector machines are used with word and character n-grams, combined with behavioural features of the authors to train the final classifier. The unbalanced dataset is downsampled to test the performance of re-balancing an unbalanced dataset. An age group classification model is also constructed to test the feasibility of extracting the age profile of the authors, which can be used as features for classifier training. The …

Detection Of Pathological Hfo Using Supervised Machine Learning And Ieeg Data, Isabel L. Sicardi Rosell

Dissertations

Epilepsy is the second most common neurological disorder and it affects approxi mately 50 million people worldwide. One of the main characteristics of this disorder is the presence of recurrent seizures which tend to be controlled through medication. Nonetheless, 20% of the patients with this disorder are resistant to drug treatment meaning that they need to go through alternative procedures.

Classification Of Animal Sound Using Convolutional Neural Network, Neha Singh

Dissertations

Recently, labeling of acoustic events has emerged as an active topic covering a wide range of applications. High-level semantic inference can be conducted based on main audioeffects to facilitate various content-based applications for analysis, efficient recovery and content management. This paper proposes a flexible Convolutional neural network-based framework for animal audio classification. The work takes inspiration from various deep neural network developed for multimedia classification recently. The model is driven by the ideology of identifying the animal sound in the audio file by forcing the network to pay attention to core audio effect present in the audio to generate Mel-spectrogram. …

Confusion Modelling - An Estimation By Semantic Embeddings, Praveen Mohanprasad

Dissertations

Approaching the task of coherence assessment of a conversation from its negative perspective ‘confusion’ rather than coherence itself, has been attempted by very few research works. Influencing Embeddings to learn from similarity/dissimilarity measures such as distance, cosine similarity between two utterances will equip them with the semantics to differentiate a coherent and an incoherent conversation through the detection of negative entity, ‘confusion’. This research attempts to measure coherence of conversation between a human and a conversational agent by means of such semantic embeddings trained from scratch by an architecture centralising the learning from the distance between the embeddings. State of …

Finetuning Pre-Trained Language Models For Sentiment Classification Of Covid19 Tweets, Arjun Dussa

Dissertations

It is a common practice in today’s world for the public to use different micro-blogging and social networking platforms, predominantly Twitter, to share opinions, ideas, news, and information about many things in life. Twitter is also becoming a popular channel for information sharing during pandemic outbreaks and disaster events. The world has been suffering from economic crises ever since COVID-19 cases started to increase rapidly since January 2020. The virus has killed more than 800 thousand people ever since the discovery as per the statistics from Worldometer [1] which is the authorized tracking website. So many researchers around the globe …

Investigating Effect Of Amount Of Augmented Data On Performance Of Convolutional Neural Network For Multiclass Image Classification, Shivam Khandelwal

Dissertations

This research project seeks to investigate the use of Image Data augmentation that generates synthetic data by adding distortions to original images, as a means of replacement to a large amount of real data used to train the Convolutional Neural Networks. The purpose of the research project is to assess the effectiveness of augmented data over the real data by comparing the performance of the model trained with various amounts of augmented training and validation data ratio. Deep learning tasks involving convolutional neural networks have difficulty in generalizing the models effectively for computer vision tasks when the training dataset is …

Investigating The Predictability Of A Chaotic Time-Series Data Using Reservoir Computing, Deep-Learning And Machine- Learning On The Short-, Medium- And Long-Term Pricing Of Bitcoin And Ethereum., Molly Kenny

Dissertations

This study will investigate the predictability of a Chaotic time-series data using Reservoir computing (Echo State Network), Deep-Learning(LSTM) and Machine- Learning(Linear, Bayesian, ElasticNetCV , Random Forest, XGBoost Regression and a machine learning Neural Network) on the short (1-day out prediction), medium (5-day out prediction) and long-term (30-day out prediction) pricing of Bitcoin and Ethereum Using a range of machine learning tools, to perform feature selection by permutation importance to select technical indicators on the individual cryptocurrencies, to ensure the datasets are the best for predictions per cryptocurrency while reducing noise within the models. The predictability of these two chaotic time-series …

Motion Tracking Through Moiré Images Of Fork Gratings, Grant Bergstue

Dissertations

A highly sensitive passive motion sensing technique is presented. This strategy is reliant on two fundamental components: the generation of moiré images and the use of fork gratings as the imaged pattern. The moiré phenomenon is well known and has been used in the past for measuring small changes in position or topography due to the large scale changes in the moiré pattern relative to the change in the system. This research effort is unique in the pairing of the moiré effect with a particular pattern known as a fork grating. Fork gratings differ from Ronchi gratings, the typical pattern …