Dissertation Defense Announcements

Candidate Name: Emily Kraftson
Title: An Investigation of the Mental Health Literacy of High School Advanced Placement Teachers
 August 30, 2023  1:00 PM
Location: Zoom: https://charlotte-edu.zoom.us/j/97023646631
Abstract:

With adolescent mental health problems on the rise, secondary school teachers are in a prime position to support students. This study sought to fill a scholarly research gap and inform future mental health literacy (MHL) training needs for teachers and to identify implications for their professional practice. Specifically, this study sought to address the limited research available on the newly deemed “at-risk” population of students in high achieving schools (HASs) enrolled in accelerated courses taught by Advanced Placement (AP) teachers. The purpose of this basic interpretive qualitative study was to investigate the perceptions of high school AP teachers in HASs regarding MHL by understanding how they perceive and develop their MHL knowledge base, the effectiveness of training they have received, and the relationship between their MHL knowledge and professional practice. Results of the study from semi-structured one-on-one interviews with five high school Advanced Placement (AP) teachers within a HAS indicated that the MHL knowledge base of these teachers was inadequate for supporting students with mental health problems. Further, results indicated that the MHL training that they have received was insufficient, leading them to rely on experience beyond in-school training to develop knowledge. Implications of the study suggest a need for targeted, comprehensive pre-service and school-level MHL training and curriculum for high school AP teachers to be developed, integrated across courses, and monitored by leadership.



Candidate Name: David Vutetakis
Title: Online Robot Exploration and Perceptual Coverage of Large-Scale Unknown Environments: Scalable Optimization and Generalized Software Framework
 September 08, 2023  1:00 PM
Location: 338 Woodward Hall
Abstract:

This dissertation addresses the problem of non-myopic online exploration and visual sensor coverage of large-scale unknown environments using an autonomous robot. We introduce a novel perception roadmap, referred to as the Active Perception Network (APN), that represents a connected configuration space over a concurrently built spatial map. The APN is modeled by a hierarchical topological hypergraph that equips a robot with an understanding of how to traverse throughout a concurrently built spatial map, and facilitates predictive reasoning on the expected visible information of the environment from untraversed regions of the map.

As new information is added to the map during exploration, the APN is iteratively updated by an adaptive algorithm entitled Differential Regulation (DFR), which applies difference-aware strategies to constrain the complexity of each update to the size of changed map information, independent of its total size. DFR employs a view sampling-based strategy to expand and refine traversability knowledge as map knowledge increases, using a novel frontier-based approach to evaluate information gain and guide the sampling and pruning of views within the APN. The APN serves as a knowledge model which can be applied for graph-based exploration planning. An evolutionary planner, designated as APN-P, leverages the hierarchical representation of the APN to perform non-myopic exploration planning that dynamically adapts to the changing map and APN states.

This dissertation further presents a software development framework, Active Perception for Exploration, Mapping, and Planning (APEXMAP), that addresses the unique software design and implementation challenges inherent to online exploration and active perception tasks, which are non-trivial. APEXMAP provides a generalized modular framework for these challenges, which is made open source for the benefit of the research community.



Candidate Name: Siwen Wu
Title: DE NOVO ASSEMBLIES OF GENOMES OF FOUR INDIGENOUS CHICKENS AND A WHITE EARED PHEASANT REVEAL GENETIC BASIS OF CHICKEN DOMESTICATION AND ALTITUDE ADAPTATION
 August 30, 2023  9:00 AM
Location: Bioinformatics building Room 105
Abstract:

High-quality assembly and annotation of the genome of a species are critical in understanding the genetic basis of almost all aspects of the biology of the species. Although many genome assembly pipelines have been developed, they are either difficult to use or their assemblies are too fragmental. Moreover, although gene annotation pipelines have been developed at large genome centers, they are either too complicated for individual labs to use or not available to public. In this dissertation project, we have proposed a user-friendly pipeline that can assemble genome at chromosome-level with high-quality using PacBio/Nanopore long reads, Illumina paired-end short reads and Hi-C paired-end short reads. We have also developed an accompanying gene annotation pipeline using a combination of homology-based and RNA-based approached. The pipeline achieves high accuracy in protein-coding gene and pseudogene annotations.
Moreover, although multiple chicken genomes have been assembled, high-quality indigenous chicken genomes are still lacking, hampering the understanding of chicken domestication and evolution. Using the pipelines, we assembled and annotated the genomes of four indigenous chickens with distinct morphological traits at the chromosome-level. Our results challenge two earlier conclusions regarding chicken domestication and evolution. First, we found a total of 1,420 new protein-coding genes in the four chickens and recovered 51 of the 274 “missing” genes in birds in general and 36 of the 174 “missing” genes in chickens in particular. Most of these new genes are also found in previously assembled GRCg6a and GRCg7b/w chicken genomes, and might play house-keeping roles. Counting these new genes, chicken genomes encode more genes than originally thought. Second, we identified a total of 2,015 non-processed pseudogenes in the seven genomes. Most pseudogenization mutations are fixed in their respective populations and preferentially occur at the two ends of genes. Purifying selection is relaxed on the pseudogenes, suggesting that they might lose their gene functions. Pseudogenization mutations segregate in the chickens as their phylogenetic tree does, which is based on more than 6,000 essential protein-coding genes. Thus, in contrast to the previous conclusion, loss-of-function mutations play a critical role in chicken domestication and evolution. Moreover, these assembled genomes are valuable resources for studying chicken domestication and evolution.
Furthermore, although many studies related to artificial selection signatures of commercial and indigenous chickens have been carried out, quite a small number of genes have been found to be under selection. To fill these gaps, we re-sequenced 85 individuals of five indigenous chicken breeds with distinct traits from Yunnan, a southwest province of China. By analyzing these indigenous chickens together with 116 individuals of commercial chickens (broilers and layers) and 35 individuals of red jungle fowl (RJF), we find a substantially large number of selective sweeps and affected genes for each chicken breed using a rigorous statistic model than previously reported. We confirm most of previously identified selective sweeps and affected genes. Meanwhile, the vast majority (~98.3%) of our identified selective sweeps overlap known chicken quantitative trait loci. Thus, our predictions are highly reliable. For each breed, we also identify candidate genes and selective sweeps that might be related to the unique traits of the chickens. Most of these genes do not contain nonsense mutations, we therefore quantified the expression levels of eight genes in relevant tissues using RT-qPCR and found that most of them showed differential expression compared to their counterparts.
Finally, eared pheasant species are closely related but inhabit at highly varying altitudes from northeast to southwest China. To understand genetic bases of closely related species to adapt to different altitudes, we sequenced a population of 10 white eared pheasants (WT) (Crossoptilon crossoptilon) inhibiting in 3,000~4,300 m altitude niches in Yunnan, China, and assembled the genome of an individual at chromosome-level with a contig N50 of 19.63 Mb, a scaffold N50 of 29.59 Mb, and a total length of 1.02 Gb. This assembly with only few gaps is of higher quality than a previous one of a brown eared pheasant (BR) (C. mantchuricum) individual living at 20~1000 m altitude in northeast China. Interestingly, the WT genome encodes more protein genes than the BR genome (16,315 VS. 15,003), while the later contains more pseudogenes than the former (1,519 VS. 1,976). The two genomes shared 14,178 genes and 1,040 pseudogenes with 2,137 and 825 unique genes, and 479 and 936 unique pseudogenes, respectively. The unique genes and unique pseudogenes of both species are mainly involved in biological pathways of cardiovascular, energy metabolic, neuronal and immune functions, which are known to be related to adaptation to high altitude. Moreover, we compared the selective sweeps in the genomes of WT, BR and an additional species blue eared pheasant (BL) (C. auritum) inhibiting at 1,500~3,000 m altitude in central west China, using re-sequencing data of 10 WT, 12 BL and 41 BR individuals, respectively. Interestingly, genes under selection in each species converge on the same pathways of the aforementioned four functional categories. These results suggest that these species adapted to highly varying altitudes by loss-of-function mutation and fine-tuning of genes in these common pathways. Our assembled WT genome and re-sequencing data can be valuable resources for studying the biology, evolution and developing conservation strategies of these endangered species.



Candidate Name: Kirby Magid
Title: Communal Coping in the Context of Filial Caregiving
 September 01, 2023  12:00 PM
Location: 4126 Colvard
Abstract:

In the U.S., there has been a steady increase in the number of adult children (i.e., filial caregivers) providing care to their aging parents. Filial caregiving impacts not only the caregiver and recipient, but also caregivers’ spouses. This necessitates an understanding of how filial caregivers and their spouses cope with the stressors of caregiving. Communal coping, which involves both couple members viewing a stressor as a shared problem and responsibility that is managed together (Lyons et al.,1998), provides a promising framework for understanding how couples cope with chronic stressors. However, in the context of filial caregiving, wherein the responsibility of providing care is an extra-dyadic stressor, and the non-caregiving spouse may feel less obligated to be involved in providing care, it is unclear whether communal coping would be beneficial for caregivers’ and spouses’ personal and relational well-being, and whether there are motivations driving communal coping. My dissertation was designed to examine the antecedents and consequences of communal coping in this unique context. Forty-two filial caregivers and their spouses (N = 83 individuals) completed an online survey assessing relational motives (i.e., compassionate goals and communal strength), communal coping, and personal and relational well-being. Results indicated that communal coping was beneficial for caregivers’ relational well-being and that compassionate goals may be an important predictor of communal coping for spouses. These findings broaden our understanding of the consequences of communal coping for caregivers’ and spouses’ personal and relational well-being and offer insight into how relational motives contribute to communal coping in the context of filial caregiving. Further research examining the relationship between relational motives, communal coping, and subsequent effects on well-being in the filial caregiving context is suggested.



Candidate Name: Tasha L. Gill
Title: When Life Deals ACEs: The Association Between Adverse Childhood Experiences and Reproductive, Prenatal, and Perinatal Health Outcomes among Women
 August 31, 2023  10:00 AM
Location: Meeting ID: 999 5871 3991 Passcode: 547844
Abstract:

Nearly 65% of adults report experiencing at least one adverse childhood experience (ACEs). Women are more likely to report experiencing 4 or more ACEs. While the association between ACEs and adverse physical and mental health outcomes in adulthood is well supported, few studies have examined the impact of ACEs on reproductive, prenatal, and perinatal health. Women with a history of ACEs have increased odds of unintended pregnancy, pregnancy complications, and delivering infants who are low birth weight and preterm birth. The purpose of this dissertation was to assess the associations between ACEs and contraceptive use, early initiation of prenatal care (PNC), and delivering a small for gestational age (SGA) infant.
Three separate population-based studies were conducted to investigate these associations using Add Health Public-Use Data, which is a subset of publicly available data from the full National Longitudinal Study of Adolescent Health dataset. The first study assessed the association between ACEs and contraceptive use. The second study evaluated the association between ACEs and early initiation of PNC. The third study examined the ACEs-SGA association as well as examined race/ethnicity as an effect modifier of this association. Logistic regression and multivariate logistic regression were used to calculate the unadjusted and adjusted odds ratios (ORs) and 95% confidence intervals (CIs), respectively. Stratified analysis by race/ethnicity was conducted on the ACEs-SGA association. Given the complex sampling design of Add Health Public-Use Data, all analyses were performed using SAS survey procedures (version 9.4, SAS Institute Inc. Cary, NC).
Across all studies, ACEs were associated with adverse health outcomes. In the first study, women with a family history of suicidal behavior had statistically significant decreased odds of contraceptive use (AOR=0.69, 95% CI: 0.51-0.96). Findings from the second study demonstrated that women who experienced parental alcoholism had 82% statistically significant decreased odds of early initiation of PNC (AOR=0.18, 95% CI: 0.06-0.55). In the third study on ACEs and birth outcomes, women who experienced parental alcoholism had statistically significant increased odds of delivering an SGA infant (AOR=4.11, 95% CI: 1.09-15.52). When stratified by race/ethnicity, among Non-Hispanic White women, those who experienced parental alcoholism had 7-fold statistically significant increased odds of delivering an SGA infant (AOR=7.39, 95% CI: 1.44-37.88). Among Non-Hispanic Black/Hispanic/Other women, those who experienced parental alcoholism had 1.6-fold increased odds of delivering an SGA infant (AOR=1.55, 95% CI: 0.22-10.84).
This dissertation addresses existing gaps in the literature on the impact of ACEs on women’s reproductive, prenatal, and perinatal health. Study results highlight the importance of integrating mental health and reproductive health care services. By implementing trauma-informed care practices such as ACEs screening during reproductive health and PNC visits, healthcare providers may provide additional support for this high-risk population of women. In addition, healthcare providers should underscore the importance of PNC during preconception reproductive health counseling as these visits may serve as an opportunity to engage these women before a pregnancy. By doing so, early PNC may reduce and prevent SGA births.



Candidate Name: Anne N Mbugua
Title: Upstream Factors: The Association Between County Intergenerational Deprivation, State Income Inequality, State Minimum Wage and Hypertension among Young Adults
 August 28, 2023  10:30 AM
Location: https://charlotte-edu.zoom.us/j/91801544424?pwd=a01MYXRxdi84YUw3bkl2cUt4MlFxUT09
Abstract:

While hypertension is largely preventable, its rates have been increasing in young adults. Hypertension is associated with substantial costs to the US health care system and therefore a public health burden. In recent times, there has been a shift in focus toward the role of upstream factors and how they influence the risk of hypertension. The primary objective of this dissertation was to evaluate whether upstream social factors, namely, county intergenerational deprivation, state income inequality and state minimum wage are associated with hypertension in young adults. The secondary objective was to assess whether race-ethnicity and geographical region were effect modifiers of these associations. To address these two objectives, three separate studies were done. Paper 1 examined the association between county intergenerational deprivation and hypertension among young adults, 18-39 years, using the 2009 and 2011 Behavioral Risk Factor Surveillance System (BRFSS), 1996-2012 Opportunity Insights database, 2008-2012 American Community Survey (ACS), and 2010 County Health Rankings and Roadmaps (CHR&R) data. Paper 2 examined the associations between state income inequality and hypertension in young adults, 18-39 years, using the 2019 BRFSS and 2015-2019 ACS data. Last, paper 3 assessed the association between state minimum wage and hypertension among young adults 18-39 years with a high school education or less. Taken together, findings indicated that within the young adult hypertension literature, county intergenerational deprivation may be a more salient upstream factor than state income inequality and state minimum wage. Also, findings suggested that race-ethnicity and geographical region were effect modifiers of the exposure-disease associations. Additional population-based studies are necessary to confirm findings.



Candidate Name: Zhihui Liu
Title: TST-IOC: A Text Style Transfer-based Approach to Automatic Intervention of Online Offensive Content on Social Media to Improve Online Safety
 August 16, 2023  10:00 AM
Location: https://charlotte-edu.zoom.us/j/93454160043?pwd=WkQvSkp4dWcxaXNLa05sRDZDNEFiQT09
Abstract:

Social media platforms such as Facebook, TikTok and Instagram have witnessed increasing use of offensive language by online users, which can be harmful to other users. Recently the continuance of the pandemic has propelled the propagation of offensive content associated with Covid-19 on social media. Some researchers begin to develop effective methods for detecting online offensive language from social media content automatically, yet automatic intervention of offensive language after it is detected remains largely understudied. To address the gaps, this dissertation develops an effective text style transfer-based approach, TST-IOC, for automatic offensive intervention tasks. The promising outcome suggests that our proposed method shows significant potential and could be a preferred choice among users for offensive intervention tasks. This dissertation provides some contributions. First, it contributes significantly to the field of offensive language research by introducing a novel text style transfer-based approach, which has been rarely explored in existing intervention studies. This approach shows a step forward in the development of an automatic offensive intervention system, addressing the limitations of current filtering systems deployed by social media platforms. Second, existing research has mainly focused on using performance metrics for evaluating offensive intervention methods quantitatively. However, this study goes beyond by proposing a comprehensive automatic evaluation paradigm. By exploring both quantitative and qualitative aspects of automatic intervention assessment, it fills a crucial gap in the current offensive language research landscape. Finally, it recognizes the scarcity of studies comparing human evaluation with automatic evaluation in automatic intervention systems. To bridge this gap, we conduct a user study, which allows for an investigation of user acceptance of the proposed automatic intervention approach in real-world scenarios. The insights gained from this user study not only guide the design of more comprehensive automatic intervention systems but also hold the potential to shape the development of human-centric automatic intervention systems in the future.



Candidate Name: Panick Kalambay Ilunga
Title: CAPTURING PEDESTRIAN-VEHICLE CONFLICTS USING COMPUTER VISION: PREDICTING THE SEVERITY OF CONFLICTS AND EXAMINING THE EFFECTS OF PEDESTRIAN, VEHICLE AND SIGNAL TIMING-RELATED FACTORS
 July 31, 2023  2:30 PM
Location: EPIC 3344
Abstract:

According to crash statistics, the United States witnessed 6,205 pedestrian fatalities and 76,000 injuries on its roads. These numbers are still unacceptably high and urge the need for proactive measures to mitigate pedestrian-vehicle conflicts and strive toward achieving a crash-free society. This research focuses on object detection and tracking algorithms, specifically YOLOv4 and Deep SORT, to examine pedestrian safety at a signalized intersection with a fixed cycle time and an intersection controlled by rectangular rapid flashing beacons (RRFBs). Long short-term memory (LSTM) neural network and adjacent-category models were developed for both intersections to predict the severity of pedestrian-vehicle conflicts and examine the effects of pedestrian, vehicle, and signal timing-related factors. The system can warn drivers 2s ahead about a potential conflict with a pedestrian, fostering a proactive approach to mitigating conflicts and enhancing overall road safety. The findings also provided evidence that increasing the yellow time and the RRBF flashing time significantly lowered the severity of pedestrian-vehicle conflicts at both intersections, emphasizing the importance of these two signal timing factors as integral measures for enhancing pedestrian safety and minimizing potential conflicts with vehicles.



Candidate Name: Rafi Marandi
Title: ADDITIVE MANUFACTURING OF PVDF-TRFE PIEZO- AND PYROELECTRIC SENSORS
 July 25, 2023  1:00 PM
Location: DCH 106A - CPM Conference room
Abstract:

Additive manufacturing, specifically the Fused Deposition Modeling (FDM) method, has emerged as a promising technique for manufacturing. Using FDM, complex geometries can be created using precise layer-by-layer deposition of material. Among the advantages of this method are its cost-effectiveness, rapid prototyping capabilities, and ability to customize. Due to the similar melting point of ferroelectric polymers PVDF and PVDF-TrFE, which can be used for FDM printers, this study examined the possibility of using FDM for additive manufacturing of PVDF and PVDF-TrFE sensors with enhanced piezoelectric and pyroelectric properties. The resulting sensors can find applications in diverse fields such as biomedical engineering, robotics, energy harvesting, and sensing technologies, enabling advancements in various sectors that require sensitive and reliable sensor systems. Although both PVDF and PVDF-TrFE can be printed by FDM, the XRD result indicated that only PVDF-TrFE crystallized in the polar phase upon cooling from the melt while PVDF always crystallized in the nonpolar phase. Therefore, only PVDF-TrFE could be used for piezoelectric and pyroelectric samples. Using the corona discharge method, consistent responses from both piezoand pyroelectric sensors were observed. Using a 30 mW laser, samples were measured for pyroelectricity. Upon poling at 25 kV for 10 minutes at room temperature, the maximum pyroelectric response was 50 mV. Samples were clamped in one end and measured in deflection mode for their piezoelectric response. Upon stimulating the free end of a PVDF-TrFE sample printed on a PVDF layer as a substrate, 130 V of open circuit piezoelectric response was observed.



Candidate Name: Prashant Tarey
Title: Numerical simulations of single-phase and multiphase reacting flows under shock and detonation conditions
 July 26, 2023  11:00 AM
Location: Virtual https://charlotte-edu.zoom.us/j/93118585380
Abstract:

We describe using detailed numerical simulations, the properties of detonation waves occurring in single-phase rotating detonation engines and the evolution of a shock-driven liquid fuel droplet. The studies span vastly different scales from the microscale at which the behavior of an isolated liquid fuel droplet has been investigated to device-scale simulations of a gas-phase rotating detonation engine.

Rotating Detonation Engines (RDEs) represent a relatively new concept in pressure gain combustion, where a detonation wave (DW) formed from injected mixture, travels circumferentially within an annular channel. The DW compresses the fuel to much higher pressures, resulting in the extraction of additional work and efficiencies not accessible through the conventional Brayton cycle. Mode transition in RDEs refers to an abrupt change in the number of detonation waves due to a change in inlet conditions such as the injected fuel reactivity and total pressure, and can affect engine performance. Through detailed numerical simulations in a 2D unrolled RDE geometry, an alternate mechanism for mode transition is proposed, along with a corresponding quantitative criterion that is validated using simulation data. A simple model to predict the number of DWs following mode transition is proposed and verified using simulation data.

In the second part of this thesis, we describe detailed numerical simulations of a liquid fuel droplet impacted by a Mach 5 shock wave, considering the effects of chemical reactions and phase change due to evaporation. The fuel droplet undergoes significant deformation and morphological changes following shock impingement, as the droplet surface becomes unstable to the Kelvin-Helmholtz instability. The production of fuel vapors by the droplet impairs the growth of such surface instabilities, leading to reduced growth of the droplet surface area when compared with a non-evaporating droplet. As the fuel vapors react, a diffusion flame is formed on the droplet-windward side, leading to intense droplet heating and enhanced vapor production in this region. Our results show significant spatial inhomogeneities are present in the droplet flowfield in all the cases investigated, which must be considered in the development of reduced order point-particle models for system-level simulations of detonation engines.