Faculty Publications
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The purpose of this Faculty Publications collection is to allow TAMU Faculty to self-deposit products of their research, typically journal articles that can be made openly accessible, but also conference presentations and similar materials.
Faculty, please note that as part of the self-deposit process, the Libraries’ Office of Scholarly Communication would encourage you to apply a Creative Commons (CC) license to your work as you share it here. (For help choosing which type, see: https://creativecommons.org/choose/ .) By default via the submission process link immediately below, the CC license version will be the latest (4.0), with international jurisdiction. (For details, see: https://wiki.creativecommons.org/wiki/License_Versions .) If for any reason you would like to restrict the jurisdiction by country, you will need to contact us at [email protected] before you deposit the item.
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Item De-Identified-Data-Pre-and-Post-Workshop-Creating-Partnerships-Training(2022-07-22) Ritter, NicolaItem Thrifted Religion: Finding Religion in Texas Thrift Stores, Volume 2(Digital Religion Publications, 2025-02-22) Campbell, Heidi AThrifted Religion: Finding Religion in Texas Thrift Stores is a collection of essays written by students from Dr Heidi A Campbell's Comm 480: Religious Communication classes in Spring and Fall 2024. These essays provide descriptions and analysis of selected item included in an exhibition called "Thrifted Religion" held in Fall 2024 at the J Wayne Stark Galleries on the campus of Texas A&M University. The aim of this exhibition was to showcase what religion looks like in East Texas from the standpoint of religious object that show up in second hand and resales stores. The exhibition included over 500 items representing Buddhism, Christianity, Hinduism, Islam, Judaism and various New Religious Movements. This eBook is part of a research study called the “Thrifting Religion Project,” which for three years has documented and studied the different forms of “religious material culture” found throughout secondhand sales and resale shops in the Bryan-College Station area. Religious material culture refers to the study of physical objects related to various religions' beliefs and practices. It is argued that exploring the types religious objects that show up for resale and their use, can provide a unique perspective into understanding current and changing religious identities, institutions, and beliefs in Texas.Item The Digital Religion Yearbook 2024(Digital Religion Publications, 2025) Evolvi, Giulia; Campbell, Heidi AThe aim of the Digital Religion Yearbook is to spotlight important research, emerging scholars, and top contributions to the growing field of Digital Religion studies. The yearbook is organized and published by the Network for New Media, Religion, and Digital Culture Studies (NMRDC). The 2024 Yearbook features an annual essay, a director's note, top 10 article in digital religion list, scholars to watch section, top students section and a list of key publication produced by the NMRDC advisory board in 2024Item Data: Trypanosoma cruzi DTU TcI disproportionately associated with fatal T. cruzi myocarditis in dogs in Texas, USA(2025-02-06) Hodo, Carolyn; Auckland, Lisa; Curtis-Robles, Rachel; Lewsi, Barbara; Hamer, SarahItem Machine learning-based framework to predict single and multiple daylighting simulation outputs using neural networks(KU Leuven, 2021-09-01) Rania Labib; Labib, RaniaItem Implementing High-Performance Building Codes: A Hands-On Curriculum for Undergraduate Architecture Education(PLEA 2024: (Re)thinking Resilience. The book of proceedings, 2024-07-12) Labib, RaniaItem Implementing High-Performance Building Codes: A Hands-On Curriculum for Undergraduate Architecture Education(PLEA 2024: (Re)thinking Resilience. The book of proceedings, 2024-07-12) Labib, RaniaItem SR Tools: Dreamy or Nighmarish?(2024-10-27) Foster, Margaret; Holland, KyleSystematic review (SR) services are expanding in most libraries as users call on librarians for assistance. The review community continues to develop tools to aid in various aspects of the SR process. But are these tools dreamy or nightmarish? This poster will present a selection of potential tools for systematic review projects, organized by function. Among these tools are resources which aid with term analysis, deduplication, review type selection, and more. Each resource will be evaluated for its utility after thorough testing with actual review projects in an academic medical setting. Conference attendees will have the opportunity to provide feedback on their preferred systematic review tools, and suggest additional tools for consideration.Item Dataset (matrices) used for the Computational Results in the paper "p-adic Lifting with Early Termination (PALET): Expediting Dixon's Method for Solving Linear Systems"(2024) Kitzmiller, Kelsey; Lourenco, Chris; Moreno-Centeno, ErickMagic and Random Matrices used for the Computational Results in the paper "p-adic Lifting with Early Termination (PALET): Expediting Dixon's Method for Solving Linear Systems"Item The ‘Skyphos Sanctuary’ from the North Slope of the Acropolis(Archaeological Institute of America, 2005) Glowacki, K.T.; Rotroff, S.I.Oscar Broneer’s excavations on the North Slope of the Acropolis (1939) brought to light an unusual deposit of over 200 skyphoi, all inverted and placed in rows of four to six vessels. Broneer, who published only a brief note on the deposit (AJA 44 [1940] 254–256), concluded that the skyphoi represented ritual activity marking some previously unknown cult location. Four types of skyphoi are represented, now dated to the early third century B.C. The uniformity of size, shape, and manufacture suggests that each series was acquired from the same workshop and deposited together at the same time. From the same area were found miniature votive cups, a fragmentary terracotta figurine, several coins, and the bones of a dog. While inverted cups have often been found in ritual deposits of the prehistoric Aegean, few parallels have been noted from historical Greek periods. However, two sanctuaries in Italy (S. Nicola di Albanella) and Sicily (Bitalemi), both associated with the worship of Demeter, provide examples of the ritual inversion of skyphoi. One possibility is that the North Slope “Skyphos Sanctuary” represents cult activity associated with the worship of Demeter or another chthonic deity, but over a very limited period of time. The ritual may have involved libation by small groups of people, after which the vessels were carefully placed (or “planted”?) in rows. Since so many of the vessels were found intact, it is likely that the skyphoi were deliberately covered over by a layer of earth soon after they had been deposited.Item After Form(Texas A&M University and NCBDS, 2024-09-20) Tripp, Andrew; Tate, James Michael; He, WeilingThe National Conference on the Beginning Design Student (NCBDS) is the leading organization for peer-reviewed research on beginning design and beginning design education. These proceedings were published in conjunction with the 36th Annual Meeting of the NCBDS, hosted by Texas A&M University in 2021.Item Multi-object Data Integration in the Study of Primary Progressive Aphasia(2024-09-25) Gutierrez , Rene; Scheffler, Aaron; Guhaniyogi, Rajarshi; Gorno-Tempini, Maria; Mandelli, Marilu; Battistella, GiovanniThis article focuses on a multi-modal imaging data application where structural/anatomical information from gray matter (GM) and brain connectivity information in the form of a brain connectome network from functional magnetic resonance imaging (fMRI) are available for a number of subjects with different degrees of primary progressive aphasia (PPA), a neurodegenerative disorder (ND) measured through a speech rate measure on motor speech loss. The clinical/scientific goal in this study becomes the identification of brain regions of interest significantly related to the speech rate measure to gain insight into ND patterns. Viewing the brain connectome network and GM images as objects, we develop an integrated object response regression framework of network and GM images on the speech rate measure. A novel integrated prior formulation is proposed on network and structural image coefficients in order to exploit network information of the brain connectome while leveraging the interconnections among the two objects. The principled Bayesian framework allows the characterization of uncertainty in ascertaining a region being actively related to the speech rate measure. Our framework yields new insights into the relationship of brain regions associated with PPA, offering a deeper understanding of neuro-degenerative patterns of PPA.Item Bayesian Data Sketching for Varying Coefficient Regression Models(2024-09-25) Guhaniyogi, Rajarshi; Baracaldo, Laura; Banerjee, SudiptoItem Bayesian scalar-on-tensor regression using the Tucker decomposition for sparse spatial modeling finds promising results analyzing neuroimaging data(2024-09-25) Spencer, Daniel; Guhaniyogi, Rajarshi; Prado, Raquel; Shinohara, RussellModeling with multidimensional arrays, or tensors, often presents a problem due to high dimensionality. In addition, these structures typically exhibit inherent sparsity, requiring the use of regularization methods to properly characterize an association between a tensor covariate and a scalar response. We propose a Bayesian method to efficiently model a scalar response with a tensor covariate using the Tucker tensor decomposition in order to retain the spatial relationship within a tensor coefficient, while reducing the number of parameters varying within the model and applying regularization methods. Simulated data are analyzed to compare the model to recently proposed methods. A neuroimaging analysis using data from the Alzheimer's Data Neuroimaging Initiative shows improved inferential performance compared with other tensor regression methods.Item InVA: Integrative Variational Autoencoder for Harmonization of Multi-modal Neuroimaging Data(2024-09-24) Lei, Bowen; Guhaniyogi, Rajarshi; Chandra, Krishnendu; Scheffler, Aaron; Mallick, BaniThere is a significant interest in exploring non-linear associations among multiple images derived from diverse imaging modalities. While there is a growing literature on image-on-image regression to delineate predictive inference of an image based on multiple images, existing approaches have limitations in efficiently borrowing information between multiple imaging modalities in the prediction of an image. Building on the literature of Variational Auto Encoders (VAEs), this article proposes a novel approach, referred to as Integrative Variational Autoencoder (\texttt{InVA}) method, which borrows information from multiple images obtained from different sources to draw predictive inference of an image. The proposed approach captures complex non-linear association between the outcome image and input images, while allowing rapid computation. Numerical results demonstrate substantial advantages of \texttt{InVA} over VAEs, which typically do not allow borrowing information between input images. The proposed framework offers highly accurate predictive inferences for costly positron emission topography (PET) from multiple measures of cortical structure in human brain scans readily available from magnetic resonance imaging (MRI).Item Impact of Library Collections on Faculty Teaching, Research, and Retention: A Mixed-Methods Study(Association of College & Research Libraries, 2025-11) LeMire, Sarah; Bodenhamer, ShannaIn recent decades, college and university libraries have been called to demonstrate their impact on their institutions’ teaching and research missions. One way that libraries can demonstrate their impact is by evaluating how library collections can influence faculty recruitment and retention decisions. This study builds upon an existing study aimed at evaluating this impact. The authors apply a mixed-methods approach to an existing data set in order to identify differences in impact based upon faculty discipline and rank. The authors found that tenured faculty as well as faculty in the Arts and Humanities were significantly more likely to include the library as part of their recruitment and retention decision making.Item Designing Manufacturing Systems Under Energy Scarcity in Expeditionary Environments(2024-09-12) Patterson, Albert; Vajipeyajula, BhaskarItem Mapping Energy Consumption for Powder Material Extrusion Additive Manufacturing(2024-09-12) Harmon, George; Kabir, Elnaz; Vajipeyajula, Bhaskar; Patterson, AlbertItem Designing Additively Manufactured Energetic Materials Based on Property/Process Relationships(2024-09-12) Afolabi, Samuel; Kabir, Elnaz; Vajipeyajula, Bhaskar; Patterson, AlbertItem Enhancing Education Through Thoughtful Integration of Large Language Models in Assigned Work(ASEE - GSW, 2024-03-10) Haikal, Tonia; Lightfoot, Robert JrIn a world where technology is evolving rapidly, it is essential to note its significant intrusion into the field of education. Technology has made vast amounts of information accessible to students, making them over-reliant on technology and less reliant on nurturing their knowledge and imagination. While limiting technology's usage is impossible to stop, learning how to incorporate it efficiently in the educational system is essential. Integrating machine learning (ML) and artificial intelligence (AI) in education is a significant shift in educational methodologies. This transformation offers the possibility to change learning approaches while presenting challenges in the ethical field. This research paper explores the impact of machine learning (ML) and artificial intelligence (AI), particularly large language models like Chat GPT, on education in our classrooms. This topic is essential because it signifies a change in the methods that educators and students use to engage in a course, transforming the learning outcomes while upholding ethical principles. The application of ML and AI in education has attracted increasing attention, but the long-term effects of these technologies on learning achievements require further investigation. Therefore, we aim to find an approach that allows the integration of ML and AI, specifically Chat GPT, while maintaining high expectations in our classrooms. While tools like Chat GPT hold transforming educational potentials, their integration must be navigated thoughtfully, balancing technological advancements with concept learning and acquisition. In this paper, we utilize quantitative analysis of educational outcomes and observational research to understand the impact of LLM on Education. We will observe firsthand how these technologies are integrated into the classroom and how they affect teaching and learning dynamics.