Digital Commons Network^™

The Shorthorn: December 1, 1961

The Shorthorn Newspaper Collection: 1960s

No abstract provided.

The Shorthorn: November 10, 1961

The Shorthorn Newspaper Collection: 1960s

No abstract provided.

The Shorthorn: November 3, 1961

The Shorthorn Newspaper Collection: 1960s

No abstract provided.

The Shorthorn: October 6, 1961

The Shorthorn Newspaper Collection: 1960s

No abstract provided.

The Shorthorn: September 29, 1961

The Shorthorn Newspaper Collection: 1960s

No abstract provided.

The Shorthorn: April 4, 1961

The Shorthorn Newspaper Collection: 1960s

No abstract provided.

The Shorthorn: October 21, 1960

The Shorthorn Newspaper Collection: 1960s

No abstract provided.

The Shorthorn: September 30, 1960

The Shorthorn Newspaper Collection: 1960s

No abstract provided.

The Shorthorn: October 7, 1960

The Shorthorn Newspaper Collection: 1960s

No abstract provided.

The Shorthorn: September 16, 1960

The Shorthorn Newspaper Collection: 1960s

No abstract provided.

The Shorthorn: September 23, 1960

The Shorthorn Newspaper Collection: 1960s

No abstract provided.

Washington Report: Irs Adopts Guidelines For Preparer Negligence Penalty, Kenneth F. Thomas, William R. Stromsem

Tax Adviser

No abstract provided.

Washington Report: New Legislative Proposals On Capital Cost Recovery, Kenneth F. Thomas, Peter F. Zimmermann

Tax Adviser

No abstract provided.

Allocation Of Interest And R&D Under Regs. Sec. 1.861-8(E): Questions From The Entrails, Michael Adler

Tax Adviser

No abstract provided.

Mystical Epistemologies: Understanding Divine Love Through Ibn 'Arabi And Thomas Aquinas, Janai Wright

Undergraduate Honors Theses

This paper explores the epistemological role of love in the mystical frameworks of Muhyiddin Ibn ‘Arabi and Thomas Aquinas, two significant figures of medieval philosophy and theology. Though rooted in distinct monotheistic traditions—Islamic mysticism and Christian scholasticism—both thinkers share a foundation in Aristotelian thought, from which they derive skepticism regarding the intellect's capacity to fully comprehend or relate to the divine. Instead, they elevate love as the essential means to attaining knowledge of God. By comparing Ibn ‘Arabi’s concept of the heart with Aquinas’ notion of the will, the paper elucidates how each philosopher positions love as transcending the limitations …

Crop Yield Prediction At Multiple Spatial Scales With Statistical Machine Learning, Vaibhav Charan, Pratishtha Poudel

Discovery Undergraduate Interdisciplinary Research Internship

Understanding and accurately predicting crop yield is becoming increasingly important today in the face of global food security challenges, and thus, the availability of standardized data and scalable models is the need of the hour. To support this, researchers have developed CY-Bench (Crop Yield Benchmark), a comprehensive dataset that helps forecast maize and wheat yields on a global scale. This research project primarily involved working with the CY-Bench dataset aiming to improve crop yield prediction through machine learning. Initially, papers explaining the CY-Bench dataset and other papers for agriculture modeling were studied and analyzed in detail. The research then progressed …

Impact Of Uncertainties On Structures Damage Tolerance Parameters, Breno De Bruns

Doctoral Dissertations and Master's Theses

This research aims to enhance the understanding and management of aerospace structural integrity. Traditional fracture control methods, such as damage tolerance analysis (DTA), assume deterministic factors, considering uncertainties inherent in material properties, inspections, and operational conditions only at the final stage by applying safety factors. This research seeks to incorporate these uncertainties throughout the analysis by integrating Monte Carlo simulation with Linear Elastic Fracture Mechanics (LEFM). The objective is to investigate how varying parameters affect crack growth prediction and the effectiveness of inspection strategies. The methodology involves systematically analyzing inspection intervals, considering factors like material properties, probability of detection (POD), …

08.04.2025 Ored Connect, Liz Williamson

ORED Newsletter

NIH limits AI use and annual proposals accepted per PI

Volumetric Imaging Of Cellular Dynamics Using Light-Sheet Microscopy: From Subcellular Structures To Whole Organisms, Md Nasful Huda Prince

Optical Science and Engineering ETDs

Advancing biomedical imaging requires platforms that combine high-resolution, speed, and stability across biological scales. This dissertation presents three innovations designed to address limitations of conventional light-sheet and oblique plane imaging. First, we introduce Reflected Inline Detection in Epi-Oblique Plane Microscopy (RIDE-OPM), a compact and drift-resistant system that eliminates a tertiary detection path while maintaining alignment flexibility, enabling robust long-term live imaging. Second, we present a high-speed Axially Swept Light-Sheet Microscopy (ASLM) platform for cleared tissues, using dual foci and synchronized sweeping to achieve isotropic sub-micron resolution at up to 40 frames-per-second, a fourfold improvement over standard ASLM. Integrated with a …

Expanded Genetic And Functional Diversity Of Oceanic Fungi, Xuefeng Peng, David L. Valentine

Faculty Publications

Background

Fungi are known members of marine microbiomes that can act as saprotrophs, parasites, and pathogens. Although a few studies utilizing cultivation-based methods and metabarcoding have been conducted, the diversity, ecological roles, and functional activities of fungi in the open ocean remain vastly underexplored. This gap in knowledge is particularly notable in oxygen minimum zones (OMZ) of the ocean, which have expanded over the past 50 years, affecting marine ecosystems and biogeochemical cycles. The eastern tropical North Pacific Ocean (ETNP) is the largest oxygen minimum zone where fungi have been implicated in the production of the potent greenhouse gas nitrous …

Artificial Ignorance: Understanding The Role Of Ai In Modern Agnotology, Amit Ray, Michael Nolan

Articles

This paper explores the concept of agnotology, the deliberate production of ignorance, within the context of modern scientific endeavors, particularly in the corporate and technological sectors. It examines how industries use various tactics to manipulate public understanding of scientific issues, often to protect profits and limit liability. The rise of private sector funding and the increasing reliance on technologies like AI and machine learning have exacerbated this process by making scientific inquiry more opaque and less accountable. Ultimately, we argue that as knowledge production becomes more entangled with corporate interests and technological systems, traditional methods of oversight and regulation are …

How Name, Image, And Likeness Has Affected Ncaa Legislation, Lauren Versteeg

Honors Thesis

This paper analyzes the impact that name, image, and likeness (NIL) has affected the National Collegiate Athletic Association (NCAA) legislation. To answer this question, I reviewed the NCAA’s website on their legislative body and rules that related to financial compensation. I also analyzed court cases about NIL that were brought against the NCAA. What I found was that NIL has been a short and recent change to the NCAA’s operations, but it has been an impactful one nonetheless. Over recent years, the legislation for NCAA has changed in order to accommodate athletes’ name, image, and likeness. A distinct outlook from …

Explicit Instruction’S Role In Phonemic Awareness And Phonics In Early Childhood Education, Sydney J. Fisher

Masters Projects

Research consistently demonstrated the impact that explicit instruction has on young children’s acquisition of phonemic awareness and phonics skills, critical foundations for later reading success. These skills are linked to achievement in reading in the upper elementary grades and beyond. Children reading below often face challenges across subject areas, and low literacy levels can limit meaningful participation in the community. This project examines research on developing phonemic awareness and phonics skills. With proper training and knowledge, teachers can improve student outcomes in these areas. However, teacher preparation programs and professional development does not adequately address these skills and how to …

Like A Scientist: A Method For Introducing Disciplinary Literacy In The Science Classroom, Elizabeth L. Kuperus

Masters Projects

To be literate within a particular area of study requires an understanding of the literary disciplinary norms practiced in that field. Within the science classroom, students are often expected to engage with scientific literature, yet are unable to fully grasp the material since they have not been taught the disciplinary literacies associated with science. This project evaluates research surrounding the area of scientific disciplinary literacy and suggests how it could be used to inform classroom instruction. Disciplinary literacy skills need to be explicitly taught and modeled to demonstrate how students can approach texts and other literacy practices as a scientist. …

The Need For Updated Curriculum, Krahseeva N. Hugmeyer-Walsh

Masters Projects

The modern world requires a workforce equipped with diverse, adaptable skills, yet many students remain unprepared due to outdated curriculum models that no longer align with current societal and professional demands. This project explores the growing disconnect between traditional educational systems and the skills needed in today’s fast-paced, technology-driven world. Current curricula often emphasize theoretical knowledge over practical application, leaving students ill-equipped to navigate real-world challenges. This project also proposes the development of a modernized secondary-level curriculum unit that prioritizes critical thinking, creativity, collaboration, ethics, and technological literacy. The proposed unit is designed to reflect student interests, promote engagement, and …

The Role Of Leopard Spot Technique Acupuncture For Shoulder Impingement With Myofascial Pain Syndrome, Dewi Ratnasari, Sri Wahdini

Sultan Qaboos University Medical Journal

Shoulder impingement syndrome can be defined as a collection of symptoms and signs in the shoulder caused by pathology within the intrinsic or extrinsic that cause pinching in the narrowed space between the acromion and the head of the humerus. Myofascial pain yndrome can occur because of shoulder impingement syndrome. We report a 66-year-old male patient who presented with complaints of limited motion in the right shoulder area accompanied by pain to a medical acupuncture clinic in Jakarta, Indonesia, in 2024. Leopard spot technique manual acupuncture was performed at the palpable myofascial trigger point area in each therapy session. After …

Breast Cancer Survival Rates And Determinants In Ethiopia: A Systematic Review And Meta-Analysis Of Longitudinal Studies, Abenezer M. Tafese, Meseker T. Fentie, Beminate L. Seifu, Angwach A. Asnake, Bikiltu D. Dirbaba, Abdisa G. Jara, Elsabeth Tizazu Asare, Brandon George

College of Population Health Faculty Papers

BACKGROUND: Breast cancer is the most common cancer and the leading cause of cancer mortality among women in Ethiopia, accounting for 32% of new cancer cases and 17.6% of cancer deaths. Despite its growing burden, comprehensive data on survival rates and contributing factors remain limited. This systematic review and meta-analysis aimed to synthesize existing data on breast cancer survival in Ethiopia and identify key determinants influencing outcomes.

METHODS: A comprehensive systematic search was conducted in PubMed, Web of Science, Scopus, Embase, and CINAHL to identify studies on breast cancer survival in Ethiopia published between January 2014 and August 2024. Eligible …

Alternative To The Statistical Mass Confusion Of Testing For "No Effect", Josh L Morgan

2020-Current year OA Pubs

In cell biology, statistical analysis means testing the hypothesis that there was no effect. This weak form of hypothesis testing neglects effect size, is universally misinterpreted, and is disastrously prone to error when combined with high-throughput cell biology. The solution is for analysis of measurements to start and end with an interpretation of effect size. In this manuscript, I walk through some of the common critiques of significance testing and how they relate to experimental cell biology. I argue that careful consideration of effect size should be returned to its central position in the planning and discussion of cell biological …

Students' Social Attitudes Towards Students With Disabilities And Social Guidance In Inclusive Elementary Schools, Joko Yuwono, Ren Wenas, Nazmin Binti Abdullah, Mahardika Supratiwi, Fadjri Kirana Anggarani, Citra Tectona

Buletin Konseling Inovatif

Teachers in elementary schools have a strategic role in providing social guidance to students to accept the presence of Students with Disability (SwD). The aims of this study were to determine the social attitudes of students, how teachers provide social guidance for non-disability students regarding the presence of disabled students in class/school and describe the challenges faced by teachers. This study uses a mixed method approach (Quantitative and Qualitative). This research method uses a data collection technique, namely a questionnaire distributed via Google Form to teachers in Indonesia. Through the questionnaire, quantitative data (percentage) and qualitative data were obtained regarding …

Imputation Via Domain Adaptation: Rethinking Variable Subset Forecasting From Knowledge Transfer, Runchang Liang, Qi Hao, Yue Gao, Kunpeng Liu, Lu Jiang, Pengyang Wang, Minghao Yin

Computer Science Faculty Publications and Presentations

Multivariate time series forecasting in practical deployment faces a critical challenge termed Variable Subset Forecasting (VSF), where certain variables accessible during training are entirely missing during inference. This creates a stark discrepancy between the training (source domain with full variables) and inference (target domain with partial variables) environments, disrupting cross-variable dependencies and fragmenting global temporal patterns. Existing imputation methods, limited to transferring local knowledge (e.g., temporal neighbors or pairwise correlations), fail to capture essential global dynamics, leading to severe performance degradation under distribution shifts. To address these challenges, we redefine VSF as a cross-domain knowledge transfer problem and propose VIDA, …