-
Prospective Students
-
Faculty and Staff
-
Current Students
-
Alumni and Friends
Sports plays a unique role in American culture, acting as a source of entertainment and community identity. It is also a microcosm of society that simultaneously reflects and guides cultural and racial difference. Those differences are illuminated by the journey of the African-American athlete as “large numbers of Americans across racial lines interact with sport and are impacted by its remarkable racial dynamics (Hartmann, 2000, p. 231). The media depictions of Black athletes as super-human, aggressive bodies that are products of poor, blighted and dangerous neighborhoods have created a dominant humble beginnings narrative that stigmatizes Black athletes and marginalized neighborhoods – creating an imagined Black sense of place and space that travels with the athletes as they move from city to city for their professional careers. Grounded in Black Geographies, this research intersects race, the media-framing of male athletes, and neighborhood stigma, providing a new lens through which to evaluate marginalized communities. This research also disrupts the dominant narrative by de-centralize the Black body and offering variations of the lived experience as shared by 30 Black NFL players. Understanding alternate storylines creates new imaginaries of marginalized Black communities and what is needed to improve the quality of life. It concludes with a consideration that scholars and journalists highlight variations of the humble beginnings experience and share the stories of Black athletes who do not come from humble beginnings to help deconstruct racial and geographic stigmas.
High performance, light weight alloys are need-of-the particularly in the defense, automotive and aerospace sectors. Magnesium is a prime candidate since it is the lightest structural metal having a mass density of 1.74g/cm3 and is the sixth most abundant element in the Earth’s crust. But, as a metal with a Hexagonal close packed (HCP) crystal structure, it exhibits poor formability, yield asymmetry, edge cracking in rolling, and low ductility at room temperature. Activation of non-basal slip planes, suppression of twinning, and promotion of recrystallization mechanisms leading to texture randomization have been a few key strategies incorporated during alloy design to achieve better properties.
In this study, the effect of thermo-mechanical processing i.e., confined rolling on three Mg-Al alloys namely AZ31B, Mg-6%Al and Mg-9%Al was analyzed. Extensive microstructural analysis using advanced electron microscopy techniques revealed the occurrence of either partial (in case of Mg-9%Al) or complete dynamic recrystallization which in turn refined the grain size, improved both strength and ductility under compression and randomized texture. Correlation of rolling temperature, strain rate, %Al content with texture, twinning, recrystallization kinetics, deformation mechanisms, precipitation kinetics and morphology have shed light on creating the best processing route for each of these alloys to achieve optimal microstructure and improved compressive mechanical behavior.
Residential buildings contribute about 22% of the national energy use in the U.S. Space heating, domestic hot water (DHW), and space cooling are the three major end uses, respectively accounting for 43%, 19%, and 8% of the residential sector’s total primary energy consumption. Currently, fossil fuels are the predominant source of energy in the residential sector. To address the problems caused by the combustion of fossil fuels, alternative renewable, low-emission, and energy-efficient technologies for heating and cooling applications in residential buildings are highly needed. In this respect, solar-assisted heat pump (SAHP) systems are a promising solution by coupling solar collectors with heat pumps that can complement each other to achieve high solar utilization and high efficiency of the heat pump.
This research proposes and evaluates a hybrid multifunctional SAHP system that can provide space heating, space cooling, DHW, and onsite electricity generation. The indirect expansion SAHP system supports both parallel and series configurations. Major components of the SAHP system include unglazed PVT collectors, a liquid-to-liquid heat pump, a thermal storage tank, a DHW tank, auxiliary electric water heaters, and pumps. Photovoltaic-thermal (PVT) collectors are used to serve three functions, including electricity generation (daytime), heat collection (usually daytime), and radiative cooling (usually nighttime). The system design and controls support fourteen operational modes involving different components for space heating, space cooling, and DHW heating.
TRNSYS software is used to model and simulate the multifunctional SAHP system. The system performance is evaluated in two locations (i.e., Baltimore, MD and Las Vegas, NV) with different climates. Based on the performance analysis of the system simulation, three potential performance improvement strategies, including replacing the thermal storage tank with an outdoor swimming pool or a tank having phase change materials for latent thermal storage, and replacing the liquid-to-liquid heat pump with a dual-source heat pump are explored. The TRNSYS simulation results are also used to calculate the simple payback period of the incremental investment associated with the multifunctional SAHP system relative to a reference air-source heat pump system.
With a 2 m3 storage tank and 30 m2 PVT collectors, the multifunctional SAHP system has a seasonal performance factor of 2.7 in Baltimore and 3.7 in Las Vegas. In comparison with the reference system, the SAHP system saves energy by 48% in Baltimore and 61% in Las Vegas. The seasonal performance factor of the SAHP system can be further improved by using a swimming pool to replace the storage tank in Las Vegas and using a dual-source heat pump in Baltimore.
This dissertation utilizes a three article approach to examine the current status of psychiatric boarding in the emergency department (ED). The number of ED visits for mental health concerns in the United States has been increasing for the past several decades as the number of inpatient psychiatric beds has decreased. This has created a psychiatric boarding crisis where patients are waiting in ED for extended periods of time across the country. This dissertation provides a 360° view of psychiatric boarding in the ED by critically examining the literature surrounding the effects of psychiatric boarding, analyzing the characteristics of patients undergoing psychiatric boarding through a large national dataset, and by analyzing mixed methods data from ED nurses who care for these patients.
The first article presents a systematic review of the status of psychiatric boarding while also addressing the involvement of civil commitment during a psychiatric boarding stay in the ED. Boarding times in the selected 31 articles varied greatly and patients were rarely started on new psychiatric drugs while in the ED. Common diagnoses for patients included suicidal ideations or suicidal behaviors.
The second article presents an analysis of the 2016-2017 combined Healthcare Cost and Utilization Project Nationwide Emergency Department Sample. Patients that had a psychiatric evaluation in the ED were considered at risk for psychiatric boarding. Patients that boarded for longer than one calendar day and had a psychiatric evaluation were compared to patients that had a psychiatric evaluation but it not ultimately board. Patients that boarded had a greater number of billable procedures performed compared to patients that did not board. The two most common diagnoses of patients undergoing psychiatric boarding for greater than one calendar day were obstructive pulmonary disease with major complication or comorbidity and diabetes.
The final article utilizes data gathered from ED nurses about their experience with psychiatric boarding at their hospital. Nurses that had greater positive attitudes toward patients undergoing psychiatric boarding were associated with greater perceived competency for providing care for persons with mental illness, and fewer stigmatizing attitudes of patients with mental illness. Through a mixed method approach, this study found that nurses perceptions of psychiatric boarding as a problem varied greatly as well as the different practices that can occur during a psychiatric boarding stay. Suggestions for improvement centered on improving the physical environment because of the high pressure and chaotic nature of the ED.
Overall, the details about what occurs during psychiatric boarding in the ED are still poorly described. The lack of research on the short-term and long-term effects of spending extended periods of time in the ED is also concerning, given that this dissertation found that 54.55% of nurses believe that psychiatric boarding is currently a problem at their hospital. Future research that focuses on creating a best practices protocol for patients spending more than 24 hours in the ED is greatly needed to improve the experience and safety of psychiatric boarding for both patients and ED staff members.
This dissertation presents my research on algorithm/architecture co-design of deep spatial and temporal separable convolutional neural networks and their applications. I will introduce DeepDive as a framework for enabling and power-efficient execution of spatial deep learning models on embedded FPGA. For emerging Deep Separable Convolutional Neural Networks (DSCNNs), DeepDive is a fully-functional, vertical co-design framework for power-efficient implementation of DSCNNs on edge FPGAs. Agile Temporal Convolutional Network (ATCN) is also proposed for high-accurate fast classification and time series prediction in resource-constrained embedded systems. ATCN is primarily designed for mobile embedded systems with performance and memory constraints, such as wearable biomedical devices and real-time reliability monitoring systems. It uses the separable depth-wise convolution to reduce the computational complexity of the model and residual connections as time attention machines, to increase the network depth and accuracy. The result of this configurability makes the ATCN a family of compact networks with formalized hyper-parameters that allow the model architecture to be configurable and adjusted based on the application requirements. I also will present DeepTrack and DeepRACE, which are two other aspects of the application of DNN in vehicle trajectory prediction in highways and real-time reliability monitoring of transistors.
The field of education relies heavily on instructional coaches to build teacher capacity in the implementation of evidence-based practices (EBPs) with fidelity. Although observation tools are used to measure the fidelity of implementation by teachers, less is reported about specific behaviors demonstrated by a coach. This two-part nonexperimental study used primary and secondary data. It sought to develop a valid and reliable Coaching Observation Tool, and used it to analyze 36 recorded real-time coaching sessions supporting the implementation of an EBP, Targeted Reading Intervention (TRI). The tool was developed using an iterative process of initial coach interview and systematic review of the literature, review of a sample of recorded coaching sessions with the initial draft of the tool, and focus group member checking interview with coaches. Next, the tool was used to analyze a sample of recorded TRI coaching sessions. The coaches in the present study provided coaching to teachers during year 2 of a TRI multi-site randomized controlled trial study. Although the tool was developed and used to identify the frequency with which discrete coaching behaviors were used, the current tool did not demonstrate validity and reliability. The findings suggest this tool could be helpful to identify coaching practices to support the implementation of EBP, such as TRI. Researchers using coaching to support the implementation of EBP alone, or as a component within PD, will find this tool provides them a clearer understanding of the instructional coach in building teacher capacity with the fidelity of implementation of the EBP.
Organizational change is an initiative to transition from current state to a desired future state, where the initiatives can be either planned or unplanned based on the motivational factors. This study evaluates the impact of organizational characteristics and change management strategies adopted by facility management (FM) professionals to implement planned and unplanned changes due to internal as well as external factors. The implementation of new or innovative workplace strategies (flexible workspace) were considered as planned changes, whereas changes implemented at workplace as a response to the COVID-19 pandemic were considered as unplanned changes (e.g., remote working, safety protocols, etc.). The research team adopted a survey-based methodology to collect information on planned and unplanned change management experiences from FM professionals across the world. Through the help of an FM association, a total of 800+ responses were recorded from 60 different countries. Using machine learning algorithm, the research team was able to identify the impact of key organizational characteristics and change management strategies responsible for the successful planned or unplanned change initiatives. Most of the models were tested on 30% of the randomly selected data and recorded predictive accuracies as high as 85%.
Trucking industry thrives on just-in time management, efficient routing and less travel delays. While traffic congestion continues to be a significant ‘highway’ problem, delays in truck travel cause loss of revenue to the trucking companies. Truck travel time performance measures assist in understanding the level of “truck-exclusive” congestion to plan for better routing. The truck travel times and routing strategies depend on the on-network (road) characteristics and off-network (land use and demographics) characteristics within the vicinity of roads. The literature documents limited to no research dedicated to truck travel time performance measures or their association with on-network and off-network characteristics.
The main goal of this dissertation is to research truck travel patterns, recommend performance measures, identify chokepoints, and understand the influence of on-/off-network characteristics on truck congestion. The first part of the research focuses on examining truck travel time data to choose performance measures, and understand their relationship with on-network and off-network characteristics. These performance measures are visualized geospatially to locate the chokepoints. The second part of the research focuses on the truck travel time estimation models using the on-network and off-network characteristics as the independent variables. The methodology and findings assist in locating chokepoints and prioritizing areas for truck travel improvement. The models help to estimate truck travel times and proactively plan land use or transportation network improvements.
Foreign aid is one of the most powerful tools at a singe state’s disposal. Economically, it can provide much needed support to the poorest of countries or those facing catastrophic conditions. Politically, it can strengthen the current government’s position and provide them with what they deem necessary to keeping their rule of law, whether they be democracies or autocracies. In addition to these effects, a donor state must also balance their own interests, which can sometimes conflict with a recipient. An alternative route that can potentially help a donor avoid such dilemmas is to divert funds through a multilateral organization instead, which can help donors avoid the need to go through another state government. Regardless of the method of disbursement though, the use of financial foreign aid has a tendency to produce effects that go far beyond its initial goal. This tendency is what this study seeks to examine. Within this context, this study seeks to empirically investigate the unintended impact that foreign aid may have on one of the world’s biggest human rights abuse: human trafficking. Human trafficking is a generations-old problem still in search of a solution. In two parts, I use an ordinal logistic regression to examine historical data in a post-Cold War era to determine the extent of foreign aid’s unintended impact on a crime yet undefined. In the first part, total financial foreign aid is examined for general impact. In the second part, financial foreign aid is split into its most common forms, bilateral aid and multilateral aid, to examine specific individualized impacts. Overall, my study reveals that there is indeed an impact on human trafficking, even though it had yet to be clearly defined at the time . In addition to that, bilateral aid experienced more statistical significance as compared to multilateral aid, suggesting that bilateral aid may have had a bigger part to play in the realm of human trafficking. The magnitude and type of relationship that foreign aid has with human trafficking appears to change over time. However, this study does have its limitations, which make the interpretation of the results a cautious act. With these facts in mind, policymakers are faced with a multi-faceted dilemma in need of fine-tuning.
Culturally diverse college students often have high rates of addictive disorders, yet tend to have lower rates of treatment participation and completion. Much of this is due to the lack of culturally relevant practices and treatment. Collegiate Recovery Programs have been established over time to serve college students in a capacity that reinforces a lifestyle of recovery from substance use and addictive behaviors. This study examines nationwide enrollment and demographic data collected from the 133 Collegiate Recovery Programs operating in the United States. While the 133 Collegiate Recovery Programs are spread across the United States, North Carolina has a number of unique characteristics which separates it from the remaining states. The state of North Carolina was the first state to use public funds to support collegiate recovery. There are currently nine CRPs established at universities within the system, including the sole Collegiate Recovery program operating in a Historically Black College. This study provides more focused analysis of how collegiate recovery program operate in in North Carolina, with a focus on the differences between the collegiate recovery program at a Historically Black College and University (HBCU) and Predominantly White Institutions (PWIs). Overall results indicated that most recovery programs are housed primarily within campus Student Health and Wellness Services. This study’s findings demonstrate that HBCU environment may differ by more often coordinating campus wide participation for recovery events. The implications of integrating the larger community to recovery services allows for greater participation from allies and advocates. This study advances the research in collegiate recovery and provides insight to practice for coordinators, counselors, administrators, and researchers.
