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 digital@library.tamu.edu before you deposit the item.

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Recent Submissions

Now showing 1 - 20 of 9095
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    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, Rania
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    SR Tools: Dreamy or Nighmarish?
    (2024-10-27) Foster, Margaret; Holland, Kyle
    Systematic 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.
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    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, Erick
    Magic 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"
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    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.
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    After Form
    (Texas A&M University and NCBDS, 2024-09-20) Tripp, Andrew; Tate, James Michael; He, Weiling
    The 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.
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    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, Giovanni
    This 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.
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    Bayesian Data Sketching for Varying Coefficient Regression Models
    (2024-09-25) Guhaniyogi, Rajarshi; Baracaldo, Laura; Banerjee, Sudipto
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    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, Russell
    Modeling 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.
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    InVA: Integrative Variational Autoencoder for Harmonization of Multi-modal Neuroimaging Data
    (2024-09-24) Lei, Bowen; Guhaniyogi, Rajarshi; Chandra, Krishnendu; Scheffler, Aaron; Mallick, Bani
    There 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).
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    Impact of Library Collections on Faculty Teaching, Research, and Retention: A Mixed-Methods Study
    (Association of College & Research Libraries, 2025-11) LeMire, Sarah; Bodenhamer, Shanna
    In 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.
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    Designing Manufacturing Systems Under Energy Scarcity in Expeditionary Environments
    (2024-09-12) Patterson, Albert; Vajipeyajula, Bhaskar
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    Mapping Energy Consumption for Powder Material Extrusion Additive Manufacturing
    (2024-09-12) Harmon, George; Kabir, Elnaz; Vajipeyajula, Bhaskar; Patterson, Albert
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    Designing Additively Manufactured Energetic Materials Based on Property/Process Relationships
    (2024-09-12) Afolabi, Samuel; Kabir, Elnaz; Vajipeyajula, Bhaskar; Patterson, Albert
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    Enhancing Education Through Thoughtful Integration of Large Language Models in Assigned Work
    (ASEE - GSW, 2024-03-10) Haikal, Tonia; Lightfoot, Robert Jr
    In 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.
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    Formation of Nocturnal Offshore Rainfall near the West Coast of Sumatra: Land Breeze or Gravity Wave?
    (Monthly Weather Review, 2021-03) Bai, Hedanqiu; Deranadyan, Gumilang; Schumacher, Courtney; Funk, Aaron; Epifanio, Craig; Ali, Abdullah; Endarwin; Radjab, Fachri; Adriyanto, Riris; Nurhayati, Noer; Nugraha, Yudha; Fauziah, Annisa
    fternoon deep convection over the Maritime Continent islands propagates offshore in the evening to early morning hours, leading to a nocturnal rainfall maximum over the nearby ocean. This work investigates the formation of the seaward precipitation migration off western Sumatra and its intraseasonal and seasonal characteristics using BMKG C-band radar observations from Padang and ERA5 reanalysis. A total of 117 nocturnal offshore rainfall events were identified in 2018, with an average propagation speed of 4.5 m s21 within 180 km of Sumatra. Most offshore propagation events occur when the Madden–Julian oscillation (MJO) is either weak (real-time multivariate MJO index , 1) or active over the Indian Ocean (phases 1–3), whereas very few occur when the MJO is active over the Maritime Continent and western Pacific Ocean (phases 4–6). The occurrence of offshore rainfall events also varies on the basis of the seasonal evolution of the large-scale circulation associated with the Asian–Australian monsoons, with fewer events during the monsoon seasons of December– February and June–August and more during the transition seasons of March–May and September–November. Low-level convergence, resulting from the interaction of the land breeze and background low-level westerlies, is found to be the primary driver for producing offshore convective rain propagation from the west coast of Sumatra. Stratiform rain prop- agation speeds are further increased by upper-level easterlies, which explains the faster migration speed of high reflective clouds observed by satellite. However, temperature anomalies associated with daytime convective latent heating over Sumatra indicate that gravity waves may also modulate the offshore environment to be conducive to seaward convection migration.
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    Preparing Engineering Graduate Students to Engage in Scholarly Communications
    (American Society for Engineering Education, 2024-06) Morganti, Dianna; Dunn, Angie
    The typical engineering degree plan has several important gaps when reviewed against the research lifecycle. These gaps are often filled in by students learning ad hoc, by overworked faculty over numerous mentoring sessions, or often by the engineering research librarians in workshops and consultations. Purposeful incorporation of a curriculum that fills those gaps, though, can prepare students better for the norms of academia, for the process of research publication, and for critical review of scholarship. Research librarians with both engineering and scholarly communication expertise are uniquely situated to fill in the gaps of the research lifecycle. Scholarly communication skills are vital for high-impact research writing – understanding and critically evaluating scientometrics, reviewing conferences and journals, evaluating and reviewing literature, navigating authorship, planning for data management, understanding various paper types, interpreting disciplinary norms, and more. In 2022, the primary author designed and proposed the semester-long first-year graduate course “Research Lifecycle and Publication in Engineering” to the Multidisciplinary Engineering Department. The first course offering was in Spring of 2023, and the students (and their mentors) had overwhelmingly positive evaluations. Student comments showed that an introduction to scholarly communications at the early graduate research stage was also an introduction to the culture and norms of academia. Many of the students submitted their course papers to conferences or journals, practicing some of the scholarly skills learned in this first-year graduate course. The department made the “Research Lifecycle…” course mandatory for all Interdisciplinary Engineering PhD and Master of Science students, after its first semester. This paper will present the course design for “Research Lifecycle and Publication in Engineering.” It will encourage engineering research librarians, teaching faculty, and curriculum committees in engineering to collaborate to prepare their students to engage in the full research lifecycle
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    Needs Assessment for Creating partnerships between veterinarians and small and medium-sized ranchers to enhance profitability and sustainability
    (Texas A&M University, 2024-08-22) Ritter, Nicola; Gonzales, Molly
    Survey Results from surveying veterinarians and producers' perspectives of working with each other to enhance the profitability and sustainability of livestock operations.
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    Creating partnerships between veterinarians and small and medium-sized ranchers to enhance profitability and sustainability
    (Texas A&M University, 2024-08-22) Ritter, Nicola
    Survey Questions on Veterinarians' Perspectives of Working with Producers; Survey Questions on Producers' Perspectives of Working with Veterinarians
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    Creating partnerships between veterinarians and small and medium-sized ranchers to enhance profitability and sustainability
    (Texas A&M University, 2024-08-22) Ritter, Nicola
    Data set from surveys of veterinarians and producers