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Exploring The Synthesis, Characterization, And Aggregation Properties Of Perylene Diimide Derivatives, Erica Salinas

Honors Theses

Once widely used for its vivid presence in an array of industrial dyes, perylene-3, 4, 9, 10-tetracarboxylic dianhydride (PTCDA) is a known precursor for perylene diimides (PDIs). These compounds are an alternative for sustainable energy within organic solar cells (OSCs) and for improving organic light emitting diodes (OLEDs). PDIs are a great candidate for organic semiconductor applications because of their overall flexibility and low manufacturing cost as an organic photovoltaic. Its extended π-conjugation results in a planar structure promoting strong π- π intermolecular stacking, giving aggregated PDIs high electron mobility, allowing a flow of electrons to move through these stacked …

Nutritional Knowledge Of Collegiate Track Athletes, Haleigh Risner

Honors Theses

There are rising concerns on whether collegiate athletes are being diligent with their nutritional practices. With an increase in RED-S (Relative Energy Deficiency in sports) cases in athletes, their knowledge about their nutritional needs comes into question. Nutrition has a significant impact on athletic performance and the development in an athlete’s specialty. To assess the current knowledge of athletes, the track athletes of East Texas A&M University were asked to participate in a nutritional assessment to determine their knowledge of nutrition in regard to their sport. It was hypothesized that the majority of athletes surveyed would not possess adequate knowledge …

Enhancing E-Learning Recommendation Systems Using Latent Dirichlet Allocation (Lda), Zanbaq Hikmet Thanon, Javad Salimi Sartakhti

Mesopotamian Journal of Big Data

Although the wide range of instructional materials, might overcome students and limit their capability to learn effectively, platform of education become important for providing personalized learning. Traditional recommendation systems (RS) try to resolve this issue; yet, they fail in understanding learning content semantically. This restriction makes it more difficult for them to deliver accurate, useful, and clear recommendations. The aim of this study is to enhance E-learning RS using topic modeling, specially the Latent Dirichlet Allocation (LDA) method, to discover latent structures within educational content. The ``20 Newsgroups'' dataset that containing over 20,000 items across 20 categories used to evaluate …

When Flood Warnings Fail: Psychological Predictors Of Information Clarity And Evacuation Intention, Katsuya Tanaka, Tadashi Kito, Kohji Tanaka

Center for Public Service Publications and Reports

Flood warnings are often assumed—particularly within traditional average-effect models—to prompt uniform behavioral responses, yet real-world evidence suggests that message effectiveness varies widely across the population. This study empirically identifies and explains such heterogeneity using a factorial survey experiment (n = 1671) conducted among residents in flood-prone regions of Japan. We estimate finite mixture beta regression models to disentangle the distinct behavioral patterns underlying information clarity and evacuation intention. Results reveal two psychological segments: a Responsive majority, whose decisions are shaped by concrete and credible warning attributes (e.g., specific breach point, forecast basis, large-font display), and a Non-Responsive minority, who remain …

Essays In Macroeconomics, Sihyun Kim

Arts & Sciences Graduate Student Theses and Dissertations

The dissertation consists of two research projects in macroeconomics. The first chapter studies a topic in fiscal policy and sovereign debt. I became interested in this topic during my third year of the Ph.D. program while working as a research assistant for Professor Manuelli. He recommended several papers on debt sustainability in the U.S. and Japan. I initially struggled to reconcile the coexistence of low default risk and persistent fiscal deficits in these countries. This led me to think that, in addition to the realized fiscal path, the fiscal capacity---such as the tax base---can also play an important role in …

Space-Time Coded Pcm/Fm For Aeronautical Mobile Telemetry, Zachary B. Hilton

Theses and Dissertations

This thesis describes the application of a space-time block code for the legacy continuous phase modulation called "PCM/FM" in the IRIG 106 standard to solve the "two-antenna problem". This problem arises when two transmit antennas are used for full spatial coverage at the cost of self-interference caused by the different delays between the transmit antennas and the ground-based antenna. The space-time block encoder is described using bit-level operations on the input data stream. The space-time decoder uses coherent combining and maximum likelihood sequence estimation to produce an estimate of the data sequence. Simulation results for zero and various non-zero differential …

2026-04-15 Zoned Out: Mcdonald’S To Overtake Historic Broadway Theater Building, Jo Moreau

The Spectator Online

No abstract provided.

2026-04-15 National Rise In Catholicism Conversions Makes Its Way To The Puget Sound, Hadia Noor Ahmed, Julia Pilch

The Spectator Online

No abstract provided.

2026-04-15 Carlyn Ferrari Is All In On Prince, Plants And Prioritizing Black Art, Milan Damjanac

The Spectator Online

No abstract provided.

Spartan Daily, April 15, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 33

To Seize Or Not To Seize? That Is The (Epigenetic) Question

Faculty, Staff and Students Publications

No abstract provided.

Decoding Immunotherapy Response Through Computational Modeling, Weiling Zhao, Xiaobo Zhou

Faculty, Staff and Student Publications

Immunotherapy has seen success in treating patients with cancer, but variable responses underscore the need for effective patient stratification and therapy planning. Computational tools integrating multi-omics, imaging and machine learning have advanced, yet reliable personalized predictions remain challenging. This review analyzes the field through four converging paradigms: classical machine learning, deep learning, graph and network modeling, and mechanistic systems biology. We examine the evolution from correlational features to representation learning, relational inference, and causal simulation of tumor-immune dynamics, highlighting the shift towards multi-modal fusion and interpretable, clinically deployable models. By providing an integrated review of these computational tools, we hope …

The Road To Senior Leadership: Senior-Level Administrative Women Leaders In Division I Intercollegiate Athletic Departments, Susan E. Richard

Electronic Theses and Dissertations 2020 - Present

This qualitative narrative study examined the career pathways and lived leadership experiences of women serving in senior-level administrative roles within Division I intercollegiate athletics, a traditionally male-dominated industry. Guided by a crucible leadership framework, the study explored how formative experiences shaped participants’ leadership development, professional advancement, and persistence. Nine women who currently or previously served as senior-level administrative leaders participated in the study. Data were collected using an adapted version of Seidman’s three-interview series, supplemented by document analysis and a demographic survey to support triangulation. Interviews were organized into three phases to chronologically capture participants’ career trajectories.

The findings are …

High Germinability Can Facilitate Recovery Of Adelia Vaseyi (Euphorbiaceae), An Imperiled Tamaulipan Thornscrub Shrub, Saroj Dhakal, Bashira Chowdhury, Alejandro Fierro-Cabo

School of Earth, Environmental, & Marine Sciences Faculty Publications

While critical to maintaining dryland biodiversity and drought resilience, reforestation has been limited in subtropical dry forests because of knowledge gaps in seed biology that must be filled to upscale seedling production and ensure recovery of imperiled endemic plants. We characterized seed germination, dormancy, and storage needs for Adelia vaseyi, a threatened endemic shrub commonly included in planting mixes to restore Tamaulipan thornscrub, an imperiled subtropical forest spanning South Texas and Northeastern Mexico. We found A. vaseyi seeds have high germinability (82.0%) and a short mean germination time (3.04 ± 0.08 days). A delia vaseyi seed does not appear …

Midweek Memo, Georgia Southern University

Midweek Memo

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• Around the Nest

The George-Anne Daily, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

Synthesis Of Cu2znsns4 (Czts) Semiconductor Thin Film With Variation Of Sulfur Solution Concentration, Sri Sugiarti, Farhan Dandi Nugraga, Ahmad Sjahriza

Chimica et Natura Acta

The Cu2ZnSnS4 (CZTS) thin film is an alternative semiconductor material as a light absorbing layer in solar cells. The advantages of CZTS as a light absorbing layer are the availability of abundant materials in nature and high absorption coefficient values. The absorbent layer was prepared using the sol-gel and spin coating method on an indium tin oxide (ITO) glass substrate. Films were made with a sol-gel solution with varying concentrations of sulfur solution, namely with a concentration of 3M and 6M using a simple spin coating tool which was rotated for 30 seconds. The film formed was hardened at 550°C …

Towards Modern Graph Learning: From Graph Neural Networks To Large Language Models, Jiarui Feng

McKelvey School of Engineering Graduate Student Theses & Dissertations

Graph-structured data provides a fundamental representation for modeling complex systems, from social networks to molecular interactions. Learning effective representations from such data is therefore a central problem in machine learning. While Graph Neural Networks (GNNs) have emerged as the dominant paradigm for this task, achieving strong performance across node, edge, and graph-level predictions, they face significant limitations in expressiveness, adaptability, and generalization. Specifically, standard architectures often struggle to capture complex substructures—such as cycles and motifs—that are critical in scientific domains. Moreover, many models are tailored to specific tasks or distributions, limiting their ability to generalize across heterogeneous graph types. In …

Brown Pelican (Pelecanus Occidentalis) Groundings On A Four-Lane Divided Highway In South Texas: A Comparative Study Using Citizen Science, Bradley Evan Beer, Kevin W. Ryer, Md. Saydur Rahman, John H. Young Jr., Richard J. Kline

School of Integrative Biological & Chemical Sciences Faculty Publications

The population of the once-endangered brown pelican (Pelecanus occidentalis) has increased over the past several decades and is now considered fully recovered. However, in south Texas, the combined effects of weather patterns, transportation infrastructure, and brown pelican biology have led to road mortalities on State Highway 48 (SH 48) at the Carl “Joe” Gayman Bridge. To mitigate these mortalities, the Texas Department of Transportation modified traffic barriers on SH 48. We aimed to examine the effect of the barrier change and determine which weather variables influence brown pelican groundings on SH 48. Citizen scientists monitored sections of SH …

Essays On Empirical Research Of Education, Criminal And Decision, Hsuan-Hua Huang

Arts & Sciences Graduate Student Theses and Dissertations

This dissertation consists of three essays in applied microeconomics, examining how subjective beliefs, institutional designs, and policy incentives shape critical life-cycle decisions in education and public safety. The first chapter investigates how students form beliefs about their academic ability and how the misalignment between perceived and benchmark ability shapes high-stakes educational sorting. Using longitudinal data from Taiwan, I show that these ability gaps systematically predict school and track choices. By developing a model of utility maximization under perceived ability, the results highlight that subjective beliefs, rather than objective scores alone, are central to educational outcomes and potential mismatches in school …

Purpose-Driven Business Motivates Umn Morris Student In Nike Internship, Adam Hammer

Campus News Archive

No abstract provided.

Perioperative Outcomes And Challenges In Cytoreductive Surgery With Hyperthermic Intraperitoneal Chemotherapy: A Single-Institution Case Series, Parli Raghavan Ravi, Maha Abdullah Naseer Alshaibi, Raj Sahajanandan, Mohammed Abdullah Saif Alhosni, Srinivas Shyam Mantha

Sultan Qaboos University Medical Journal

Cytoreductive surgery (CRS) with hyperthermic intraperitoneal chemotherapy (HIPEC) is a high-risk, but potentially curative, treatment for peritoneal surface malignancies. This retrospective analysis was conducted between March 2023 and September 2025 at Sultan Qaboos Comprehensive Cancer Care and Research Centre, Muscat, Oman, with the objective of analysing perioperative outcomes and challenges in patients undergoing CRS with HIPEC. Data on demographics, intraoperative variables and postoperative outcomes were collected and statistically analysed. A total of 25 consecutive patients were included. The cohort had significant comorbidities (American Society of Anesthesiologists II/III = 84%). Significant metabolic stress was evidenced by increased lactate (P <0.001) and base deficit (P …