The purpose of this dissertation is to introduce and provide a pedagogical guide for two etude works by Lowell Liebermann (b. 1961): Four Etudes on Songs of Brahms, Op. 88 (2004) and Four Etudes on Songs of Robert Franz, Op. 91 (2005). It includes a brief biography and observations on the compositional style of the composer; a history and development of the etude from the eighteenth century to Liebermann's time; research on Liebermann's works based on songs of other composers; and a pedagogical guide on how to approach each piece, covering four types of technical issues: articulation, phrasing, voicing of the melodic lines, and fingerings.

Recital presented at the UNT College of Music Voertman Hall in partial fulfillment of the Master of Music (MM) degree.

Alberto Nepomuceno was one of the leading figures in developing Brazilian art music at the turn of the twentieth century. He became widely known for his Brazilian art songs and kept promoting Brazilian music and the use of Portuguese as an "art language" throughout his life. Nepomuceno has widely been seen as a nationalist composer, yet some of his works adopt a more European style. In this study, I argue that Nepomuceno incorporates European musical languages in his Piano Sonata in F Minor, Op. 9. I display the rich interaction of Brazilian national identity and European influence within Nepomuceno's musical life. I also provide a thorough formal analysis of this piano sonata to argue that in some of his music he adopted a distinctively European musical language, including baroque and classical elements. In addition to analyzing the sonata-form and rondo-form elements, this dissertation discusses the use of several important topics in the work, including the Siciliano rhythm, contrapuntal writing, pedal points with organ effects, and impact of Brahms on Nepomuceno's piano writing. Moreover, I analyze how Nepomuceno assimilated European musical styles as the basis for his own compositions, as well as the innovations with which he augmented those styles. An …

Ensemble performances program book from the 2022-2023 school year at the University of North Texas College of Music.

Ensemble performances program book from the 2022-2023 school year at the University of North Texas College of Music.

Student performances program book from the 2022-2023 school year at the University of North Texas College of Music.

Video of the College of Engineering Spring 2023 undergraduate commencement ceremony held on May 13, 2023, at the University of North Texas Coliseum. The video begins with an introduction to the University of North Texas with a short history segment and photographs and videos of various unidentified graduates. Welcoming remarks are given by an unnamed faculty member. Faculty and graduates process into the coliseum. Natasha Becker sings the national anthem, accompanied by the UNT wind orchestra. Additional remarks are given by Dean of the College of Engineering Hanchen Huang. Provost Michael McPherson gives a speech congratulating the graduates and acknowledging the academic accomplishments of the students. The keynote speaker is Sarah Wagner, chair of the UNT Alumni Association Board of Directors. The ceremony concludes with Natasha Becker singing the UNT alma mater and the graduates leaving the coliseum.

With increasing data and technology, multiple types of data from the same set of nodes have been generated. Since each data modality contains a unique aspect of the underlying mechanisms, multiple datatypes are integrated. In addition to multiple datatypes, networks are important to store information representing associations between entities such as genes of a protein-protein interaction network and authors of a citation network. Recently, some advanced approaches to graph-structured data leverage node associations and features simultaneously, called Graph Neural Network (GNN), but they have limitations for integrative approaches. The overall aim of this dissertation is to integrate multiple data modalities on graph-structured data to infer some context-specific gene regulation and predict outcomes of interest. To this end, first, we introduce a computational tool named CRINET to infer genome-wide competing endogenous RNA (ceRNA) networks. By integrating multiple data properly, we had a better understanding of gene regulatory circuitry addressing important drawbacks pertaining to ceRNA regulation. We tested CRINET on breast cancer data and found that ceRNA interactions and groups were significantly enriched in the cancer-related genes and processes. CRINET-inferred ceRNA groups supported the studies claiming the relation between immunotherapy and cancer. Second, we present SUPREME, a node classification framework, by comprehensively …

The Gemini Near Infrared Spectrograph - Distant Quasar Survey (GNIRS-DQS) is the largest uniform, homogeneous survey of its kind, covering 260 quasars at 1.5 ≤ z ≤ 3.5. This unique survey, coupled with data from the Sloan Digital Sky Survey (SDSS), enables new investigations into redshifts, supermassive black hole masses (MBH), and accretion rates at high redshift through spectroscopic coverage of important rest-frame UV-optical emission lines. The importance of this survey is highlighted in the fact that the optical emission lines provide more reliable measurements of these quasar parameters than their UV counterpart. With such a unique sample compiled here, I construct prescriptions to calibrate these quasar parameters derived from rest-frame UV emission lines to those derived from rest-frame optical emission lines. These prescriptions provide important insight into how these parameters depend on redshift and are potentially biased as we look out further into the universe. Additionally, all the work completed with this sample will help shape our understanding of how these quasars and their host galaxies co-evolve over cosmic time.

I present spectroscopic measurements for 260 sources from the Gemini Near Infrared Spectrograph–Distant Quasar Survey (GNIRS-DQS). Being the largest uniform, homogeneous survey of its kind, it represents a flux-limited sample of Sloan Digital Sky Survey (SDSS) quasars at 1.5 < z < 3.5. A combination of the GNIRS and SDSS spectra covers principal quasar diagnostic features, chiefly the C IV λ1549, Mg II λλ2798, 2803, Hβ λ4861, and [O III] λλ4959, 5007 emission lines, in each source. The spectral inventory is utilized primarily to develop prescriptions for obtaining more accurate and precise redshifts, black hole masses, and accretion rates for all quasars. Additionally, the measurements facilitate an understanding of the dependence of rest-frame ultraviolet–optical spectral properties of quasars on redshift, luminosity, and Eddington ratio, and test whether the physical properties of the quasar central engine evolve over cosmic time.