Transcript of an interview with Don Ferrier, a Certified Green Builder and CEO of Ferrier Companies, discussing the founding and development of the business, particularly green building technologies and high energy efficiency for both residential homes and commercial remodeling.

Transcript of an interview with UNT professor Stan Ingman about his experiences growing up in cities that with pollution and environmental degradation, his education, and his work in the Rehabilitation and Health Services Department to develop curricula connecting the well-being of people to the health of their environments.

Transcript of an interview with Mitzi Mills, a co-founder of Anzea Textiles in Fort Worth, discussing the fabric and design industry, the goals of the company, and the ways that they focused on natural and recycled fibers, as well as other sustainable practices.

Transcript of an interview with Charlie Joe Cole Jr., conducted in Denton, Texas, for the Geezle Fraternity Oral History Project that expands on a previous interview in 1985. Cole discusses his background as an athlete at North Texas State College (UNT) playing football, his distinguished Air Force service, his membership in the Geezle Fraternity, and his career in education followed by his career as Denton County's Probation Officer.

Transcript of an interview with [C.] Dan Smith, UNT Athletic Hall of Fame Member, Distinguished Alumnus of UNT and Geezle Fraternity, and Board of Regents Member (Chair for two years). Smith shares concerning his childhood in Hawkins, TX, and his public education in Lewisville, TX; Insights about his athletic football career in high school, at Texas Technological College, and North Texas State College; Recollections on graduating in business administration, beginning a career in securities, and establishing his own business, CDS Resources; Views on staying committed and involved as an alumnus; His perspectives on the role of the Geezle Fraternity and its contribution to his college education, his career progress, and his continuing loyalty to UNT.

Recital presented at the UNT College of Music Voertman Hall in partial fulfillment of the Graduate Artist Certificate (GAC) degree.

World ensembles concert performed at the UNT College of Music Voertman Hall.

Ensemble Concert performed at the UNT College of Music Voertman Hall.

Trombone concert performed at the UNT College of Music Voertman Hall.

Orchestra concert performed at the UNT College of Music Winspear Hall.

Choir concert performed at the UNT College of Music Winspear Hall featuring the UNT Concert Choir and the University Singers, with students (Brian C. Murray and Charlotte Botha) conducting in partial fulfillment of the Doctor of Musical Arts (DMA) degrees.

Recording of the Friday evening performance of the opera "Così fan tutti" at the UNT College of Music Murchison Performing Arts Center.

This dissertation focuses on the computational investigation of gold(I) acyclic diaminocarbene (ADC) complexes and their application in homogeneous gold(I) catalysis. Chapter 2 is an in-depth computational investigation of the σ- and π-bonding interactions that make up the gold-carbene bond. Due to the inherent conformation flexibility of ADC ligands, distortions of the carbene plane can arise that disrupt orbital overlap between the lone pairs on the adjacent nitrogen atoms and the empty p-orbital of the carbene. This study investigated the affect these distortions have on the strength of the σ- and π-bonding interactions. This investigation demonstrated that while these distortions can affect the σ- and π-bonding interactions, the ADC ligand have to become highly distorted before any significant change in energy of either the σ- or π-bonding interactions occurs. Chapter 3 is a collaborative investigation between experimental and computational methods, DFT calculations were employed to support the experimental catalytic results and determine the role that steric effects have in controlling the regioselectivity of a long-standing electronically controlled gold(I)-catalyzed tandem 1,6-enyne cyclization/hydroarylation reaction with indole. This study demonstrated that by sterically hindering nucleophilic attack of indole at the favored position, nucleophilic attack would occur at a secondary position leading to the selective …

This work provides an alternative theory of gendered consumption that explains chronic and situational shifts in consumers' preferences for masculine, feminine, and androgynous choices, beyond the effects of gender identities.

Current unsupervised approaches for keyphrase extraction compute a single importance score for each candidate word by considering the number and quality of its associated words in the graph and they are not flexible enough to incorporate multiple types of information. For instance, nodes in a network may exhibit diverse connectivity patterns which are not captured by the graph-based ranking methods. To address this, we present a new approach to keyphrase extraction that represents the document as a word graph and exploits its structure in order to reveal underlying explanatory factors hidden in the data that may distinguish keyphrases from non-keyphrases. Experimental results show that our model, which uses phrase graph representations in a supervised probabilistic framework, obtains remarkable improvements in performance over previous supervised and unsupervised keyphrase extraction systems.

As a form of tax and expenditure limitations, property tax exemptions result in an utility gap between two groups of population residing in the same community: free-riders who are paying less than they receive and contributors who are paying more than they receive. This utility gap is problematic to municipalities because contributors may exit the city as this gap becomes wider. How do municipalities respond to the increasing amount of property tax exemptions? Using 41 Texas cities data from 2000 to 2016, this dissertation examines how property tax exemptions affect municipalities' fiscal behavior. The analysis indicates that property tax exemptions lead to higher property tax burden, change municipalities' revenue structure, and lead to less capital spending.

Artificial intelligence (AI) is quickly transforming business operations and society, as AI capabilities are incorporated into applications ranging from mobile personal assistants to self-driving cars. The potentially disruptive nature of AI calls for an extensive investigation into all aspects of AI-human interactions at individual, group, organizational and market levels. However, there is paucity of academic information systems (IS) research in this area that goes beyond the development and testing of specific narrow AI capabilities. AI represents an important opportunity for organizational and behavioral IS researchers, but also presents challenges associated with the underlying complexity of AI technologies and the diversity of AI applications. Understanding how existing AI research and business practice relate to traditional areas of IS research is an important step towards creating a comprehensive behavioral and organizational AI research agenda. This dissertation seeks to achieve a dual purpose in a series of three essays. Essay 1 seeks to understand the current state of business AI research and practice in business through a quantitative literature review, relate the findings to traditional IS research areas, and identify potentially fruitful research areas for AI-focused IS research. Essays 2 and 3 seek to address specific research questions related to one of such …

Sintering parameter effects on the microstructure of boron carbide and boron carbide/titanium diboride composites are investigated. The resulting microstructure and composition are characterized by scanning electron microscopy (SEM), x-ray microscopy (XRM) and x-ray diffraction (XRD). Starting powder size distribution effects on microstructure are present and effect the mechanical properties. Reactive spark plasma sintering introduces boron nitride (BN) intergranular films (IGF's) and their effects on fracture toughness, hardness and flexural strength are shown. Mechanical testing of Vickers hardness, 3-point bend and Chevron notch was done and the microstructural effects on the resulting mechanical properties are investigated.

High entropy alloys (HEAs) are a new class of solid solution alloys that contain multiple principal elements and possess excellent mechanical properties, from corrosion resistance to fatigue and wear resistance. Even more recently, twinning induced plasticity (TWIP) and transformation induced plasticity (TRIP) non-equiatomic high entropy alloys have been engineered, promising increased strength and ductility as compared to their equiatomic counterparts. However, impact and fracture resistance of these HEAs has not been studied as much as their other mechanical properties. In this thesis, the hardness, tensile properties, and Charpy impact energy of Al0.3CoCrFeNi, a TWIP HEA, and 50Fe-30Mn-10Co-10Cr (at.%), a TRIP HEA, was explored. First, three processing conditions, (1) as-received, (2) recrystallized, and (3) peak hardness, were chosen for each alloy and verified with Vickers microhardness measurements. Next, the tensile properties of each alloy and condition were investigated. Charpy impact specimen size was then selected based on the final plate thickness, and the machined samples were tested. Plastic zone size and change in sample thickness in the deformed region of each condition after testing was measured. Post-impact test inspection of the samples in all conditions showed that the samples were in tension near the V-notch root and in compression at the …

Ulcerative colitis (UC) is a chronic inflammatory disease characterized by periods of relapses and remissions affecting more than 500,000 people in the United States. To achieve the therapeutic goals of UC, which are to first induce and then maintain disease remission, doctors need to evaluate the severity of UC of a patient. However, it is very difficult to evaluate the severity of UC objectively because of non-uniform nature of symptoms and large variations in their patterns. To address this, in our previous works, we developed two different approaches in which one is using the image textures, and the other is using CNN (convolutional neural network) to measure and classify objectively the severity of UC presented in optical colonoscopy video frames. But, we found that the image texture based approach could not handle larger number of variations in their patterns, and the CNN based approach could not achieve very high accuracy. In this paper, we improve our CNN based approach in two ways to provide better accuracy for the classification. We add more thorough and essential preprocessing, and generate more classes to accommodate large variations in their patterns. The experimental results show that the proposed preprocessing can improve the overall accuracy …

With an ever-growing number of publications in the biomedical domain, it becomes likely that important implicit connections between individual concepts of biomedical knowledge are overlooked. Literature based discovery (LBD) is in practice for many years to identify plausible associations between previously unrelated concepts. In this paper, we present a new, completely automatic and interactive system that creates a graph-based knowledge base to capture multifaceted complex associations among biomedical concepts. For a given pair of input concepts, our system auto-generates a list of ranked subgraphs uncovering possible previously unnoticed associations based on context information. To rank these subgraphs, we implement a novel ranking method using the context information obtained by performing random walks on the graph. In addition, we enhance the system by training a Neural Network Classifier to output the likelihood of the two concepts being likely related, which provides better insights to the end user.

This research examined two interrelated issues relevant to maternal and neonatal health in Pakistan, namely, the rising rates of C-section delivery and low rates of exclusive breastfeeding. By using the Andersen's health behavioral model to frame two empirical studies, the data from the Pakistan Demographic and Health Survey (PDHS) 2012-13 was used. The first empirical study examined the correlation between place of delivery and the odds of cesarean section in Pakistan. Not all Pakistani women have an equal chance of delivering at a health facility where C-section delivery takes place; therefore, the study modeled mode of delivery as a two-step process. In the first step, place of delivery was a function of medical indications and various sociodemographic and community factors. Women who delivered at a health facility were included in the second step, where C-section was a function of medical indications and type of facility (private, public). It is found that women who delivered at a private health facility were more likely to have a C-section, even after controlling for the effects of medical/clinical factors, which is concerning. Findings suggest that the private maternal health sector in Pakistan may be over-medicalizing childbirth. The second study examined this paradox of low …

This research study involves three essays and examines CRQ-driven decision making from the points of view of the common firm, social-commerce platform provider, and social-commerce echo-system. It addresses CRQ's progression from traditional business-to-consumer (B2C) initiatives to social platform-specific antecedents and to environment-driven factors lying outside the direct control of the platform provider, yet influencing social commerce business decisions, such as user-generated content from peers (e.g. family, friends) and expert authority (e.g. specialists, experts, professional organizations). The research method used statistical, data mining and computer science techniques. The results suggest that social platform providers should take a proactive approach to CRQ, fully leverage their online platform to improve CRQ while paying special attention to security as a potential barrier, and consider the analysis of elements of the echo-system such as the electronic word of mouth (eWOM) to further drive CRQ and determine the level of alignment between customers and experts, suppliers and products featured, that may lead to value-added managerial insights such as the prioritization, promotion and optimization of such relationships.

This study examined the relationships between the six benefit types and customer loyalty through trust and satisfaction in integrated resorts. A self-administered survey was developed based on previous studies in customer loyalty and was distributed through e-Reward online survey panel. The findings showed that only financial gaming benefits, functional gaming benefits, and psychological non-gaming benefits had impacts on customer attitudinal loyalty and customer behavioral loyalty through trust and satisfaction in integrated resorts. Besides, functional gaming benefits had the most influence on customer loyalty through trust and satisfaction. This study extended existing literature in integrated resorts by showing that benefit types in a loyalty program can build customer attitudinal loyalty and customer behavioral loyalty in integrated resorts. This study also examined different types of benefits affect customer loyalty in different degrees. For operators of integrated resorts, understanding how different benefits of a loyalty program affect customer loyalty will allow them to modify their loyalty programs effectively to increase revenue and maintain customers.