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Exploring The Links Between Unknowns, Uncertainty And Epistemological Understanding In A More Authentic Form Of School Science Investigation, Matthew Wharf

Other Faculty of Arts, Humanities and Business Theses

This research explored the role a more ‘authentic’ science investigation had on the epistemological understanding of secondary school students. It reviewed the understanding of what is taught within the science curriculum in terms of epistemology and the Nature of Science (NOS) and what may be considered a more authentic activity that more closely aligns with the qualities of professional science, where new knowledge is being formed as compared to what could be seen as conventional science investigations, the repetition of classic experiments. Lessons of 3 different classes, at different schools and in different years were used. An investigation lesson from …

Graduate Catalog 2024-2025, Southwestern Oklahoma State University

Graduate Catalogs

No abstract provided.

An Objective Assessment Of Neuromotor Control Using A Smartphone App After Repeated Subconcussive Blast Exposure, Charlend K. Howard, Masahiro Yamada, Marcia Dovel, Rie Leverett, Alexander Hill, Kenneth A. Manlapaz, David O. Keyser, Rene S. Hernandez, Sheilah S. Rowe, Walter S. Carr, Michael S. Roy, Christopher K. Rhea

Rehabilitation Sciences Faculty Publications

Subconcussive blast exposure has been shown to alter neurological functioning. However, the extent to which neurological dysfunction persists after blast exposure is unknown. This longitudinal study examined the potential short- and long-term effects of repeated subconcussive blast exposure on neuromotor performance from heavy weapons training in military personnel. A total of 214 participants were assessed; 137 were exposed to repeated subconcussive blasts and 77 were not exposed to blasts (controls). Participants completed a short stepping-in-place task while an Android smartphone app placed on their thigh recorded movement kinematics. We showed acute suppression of neuromotor variability 6 h after subconcussive blast …

Comparative Analysis Of Calcium Oxalate Abundance And Variation Across Parts And Subparts Of Amorphophallus Longispathaceus Engl. & Gehrm. (Araceae), Phil Anthony B. Sumabat, Jaybie S. Arzaga, Nonnatus S. Bautista

Journal Article

This study examines the variation and abundance of calcium oxalate (CaOx) crystals in Amorphophallus longispathaceus Engl. & Gehrm., a species of economic interest known for its acridity due to CaOx crystals. These crystals play key roles in defense and calcium regulation. The study quantifies the abundance, morphology, and length-to-width ratio of raphide bundles across different tissues. Samples from five individuals were analyzed microscopically, revealing diverse CaOx crystal forms, including raphides, styloids, druses, and atypical structures in the lamina, petiole, and corm. Raphide bundles were most abundant in the corm, followed by the lamina and petiole, with significant differences in distribution …

Analgesic Potential Of The Mimosa Pudica L. Leaf Decoction Using The Primary Dysmenorrhea Mouse Model, Paula Bianca D. De Guzman, Maria Dalisay G. Maligalig

Journal Article

Primary dysmenorrhea, a common menstrual pain, is often treated with nonsteroidal anti- inflammatory drugs (NSAIDs), which may cause side effects. In contrast, herbal medicine, such as Mimosa pudica L., has been used in the Philippines due to its accessibility and reportedly fewer side effects. This study investigated the analgesic potential of an aqueous M. pudica leaf decoction in a primary dysmenorrhea mouse model. Phytochemical analysis of the extract was also conducted and results revealed the presence of alkaloids, flavonoids, saponins, tannins, sterols, triterpenoids, and glycosides. Twenty sexually mature female ICR mice (Mus musculus) were orally pretreated with estradiol valerate for …

Ficus Diversity And Structure Along The Ulot River Riparian Zones In Samar Island Natural Park, Maria Celeste N. Banaticla-Hilario, Anne Frances V. Buhay, Lailani A. Masungsong, Diana Shane A. Balindo, Edelyn O. Echapare, Noba F. Hilvano, Inocencio E. Buot Jr.

Journal Article

Ficus species are keystone components of riparian ecosystems in Southeast Asia. Hence, studying their abundance and diversity in riparian areas can provide insights on the health and functions of the ecosystem. In this study, the diversity of Ficus along the riparian zone of Ulot River in Samar Island Natural Park (SINP) was evaluated by sampling across the upstream, midstream and downstream sections and using diversity indices and descriptive statistics to analyze the data. The Ulot riparian zone supports a phylogenetically diverse Ficus flora composed of 13 species representing five of the six subgenera. Three endemic species were observed namely, Ficus …

Online Video-Mediated Compassion Training Program For Mental Health And Well-Being Of University Students, Thupten Tendhar, Melissa Ann Marcotte, Paul Bueno De Mesquita, Manob Jyoti Saikia

Political Science Faculty Publications

College students experiencing psychological distress have significantly greater negative emotions than students who practice compassionate thinking. We have developed Eight Steps to Great Compassion (ESGC), an innovative brief and no-cost online video training program about how to increase compassion among busy and young adult university students. To examine the effectiveness and benefits of the ESGC, a single-group pre-test–post-test quantitative design with undergraduate university students (N = 92; M_age = 20.39) evaluated its effects. The results from the post-test showed that the ESGC had a significant positive impact on increased feelings of compassion towards oneself, compassion for others, and the …

Adversarial Training Based Domain Adaptation Of Skin Cancer Images, Syed Qasim Gilani, Muhammad Umair, Maryam Naqvi, Oge Marques, Hee-Cheol Kim

Electrical & Computer Engineering Faculty Publications

Skin lesion datasets used in the research are highly imbalanced; Generative Adversarial Networks can generate synthetic skin lesion images to solve the class imbalance problem, but it can result in bias and domain shift. Domain shifts in skin lesion datasets can also occur if different instruments or imaging resolutions are used to capture skin lesion images. The deep learning models may not perform well in the presence of bias and domain shift in skin lesion datasets. This work presents a domain adaptation algorithm-based methodology for mitigating the effects of domain shift and bias in skin lesion datasets. Six experiments were …

Faith And Stem Education: A Path To Mutual Elevation In Catholic Schools, Michael Szopiak, Matthew Kloser

Journal of Catholic Education

Amidst increasing religious disaffiliation, often due to a perceived tension between faith and the STEM disciplines, Catholic schools provide critical opportunities for young people to recognize how these domains can be mutually elevating. The field, however, lacks guidance as to how this integration should occur in practice. This conceptual paper first provides an overarching framework for how aspects of the Catholic tradition, like Scripture and the Catholic social tradition, can shape traditional educational domains of STEM teaching and learning. Secondly, we provide a heuristic of three criteria for deeply engaging students at the interface of the Catholic faith and the …

Augustinian Composition Pedagogy And The Catholic Liberal Arts In The Time Of Generative Ai, Gavin F. Hurley

Journal of Catholic Education

This article proposes a theoretical basis of Augustinian composition pedagogy by tracing the symbiotic relationship between writing and knowing found within St. Augustine’s Letters, The Trinity, Soliloquies, and Confessions and connecting them to modern writing-to-learn composition pedagogies. Given today’s trying times of generative AI, this article argues that Catholic schools revitalize the writing arts in a manner proposed by Augustine—that is, to enrich inward contemplation and outward love for others. In embracing such philosophy of writing and applying it across the disciplines, Catholic schools can enrich their distinctively Catholic liberal arts mission—and ward off dangers found in …

′Symbols′ As Expression Tools Of Islam And Their Usage Methods In Palace Architecture, Bora Bingöl, Namiq Abbasov, Shahla Abbasova

Khazar Journal of Humanities and Social Sciences

Islamic architecture consists of religion, politics, philosophy, and aesthetics. The religious expression of symbols in Islamic architecture is also extremely important in architecture. These religious symbols, which are used in palace buildings and generally in administrative places in the Islamic world, are shaped depending on the function of the buildings. In this period, the palace complexes were considered to be the most important structures representing state politics and economy. In this study, the purposes and methods of use of religious symbols used in many palace complexes of Islamic architecture were investigated. While investigating the main source and usage rules of …

The Model Of Desire And Fear As An Invariant In Literature, Melake Agasaf Elyasova-Rajabova

Khazar Journal of Humanities and Social Sciences

The issue of the projection of the desire and fear model in literature is analyzed from different perspectives in this research. Desire and fear along with forming a dichotomy together, complement each other. Sometimes the feeling of fear turns into a barrier in front of the feeling of desire, whereas, the feeling of fear sometimes saves him (her) from taking some wrong steps. Humans are born as biological beings, but they are formed as social beings. Each person is formed through the relationship between the individual and society; he acts taking into account the stereotypes of the society - the …

Post-Mortem Investigation Of Deaths Due To Pneumonia In Children Aged 1–59 Months In Sub-Saharan Africa And South Asia From 2016 To 2022: An Observational Study., Sana Mahtab, Dianna Blau, Zachary Madewell, Ikechukwu Ogbuanu, Julius Ojulong, Sandra Lako, Hailemariam Legesse, Joseph Bangura, Quique Bassat, Gunturu Revathi

Pathology, East Africa

Background; The Child Health and Mortality Prevention Surveillance (CHAMPS) Network programme undertakes post-mortem minimally invasive tissue sampling (MITS), together with collection of ante-mortem clinical information, to investigate causes of childhood deaths across multiple countries. We aimed to evaluate the overall contribution of pneumonia in the causal pathway to death and the causative pathogens of fatal pneumonia in children aged 1–59 months enrolled in the CHAMPS Network.

Methods; In this observational study we analysed deaths occurring between Dec 16, 2016, and Dec 31, 2022, in the CHAMPS Network across six countries in sub-Saharan Africa (Ethiopia, Kenya, Mali, Mozambique, Sierra Leone, and …

A Novel Hyperparameter Search Approach For Accuracy And Simplicity In Disease Prediction Risk Scoring, Yajun Lu, Thanh Duong, Zhuqi Miao, Thanh Thieu, Jivan Lamichhane, Abdulaziz Ahmed, Durdun Delen

Research, Publications & Creative Work

Objective: Develop a novel technique to identify an optimal number of regression units corresponding to a single risk point, while creating risk scoring systems from logistic regression-based disease predictive models. The optimal value of this hyperparameter balances simplicity and accuracy, yielding risk scores of small scale and high accuracy for patient risk stratification.

Materials and Methods: The proposed technique applies an adapted line search across all potential hyperparameter values. Additionally, DeLong test is integrated to ensure the selected value produces an accuracy insignificantly different from the best achievable risk score accuracy. We assessed the approach through two case studies predicting …

Women And Peace Theory And Civil Conflict Intensity, Byung-Deuk Woo, Hoshik Nam

Research, Publications & Creative Work

Do improved women’s descriptive representation in legislative branches and women’s participation in civil society decrease the intensity of civil conflicts? Is the impact of women’s presence in legislative branches on the conflict intensity magnified by women’s participation in civil society, and vice versa? In this study, we aim to expand the constructivist argument that equal gender roles in politics and civil society can bring about less intensive internal armed conflicts. Relying on time-series cross-national data on 151 countries from 1960 to 2016, we demonstrate that the increases in women’s descriptive representation in parliaments and women’s participation in civil society tend …

Beyond Spatial Materiality, Towards Inter- And Intra-Subjectivity: Conceptualizing Exclusion In Education As Internalized Ableism And Psycho-Emotional Disablement, Anthony J. Maher, Justin A. Haegele

Human Movement Studies & Special Education Faculty Publications

Of the little written about educational exclusion, much of it considers exclusion as disabled students experiencing less access, opportunities and participation in education when compared to their nondisabled same-aged peers. Our article aims to move beyond these narrow, parochial, and reductive postulates by centering the inter- and intra-subjectivities of disabled students to conceptualize exclusion as experiences with internalized ableism and psycho-emotional disablement that may (or may not) be experienced in any or all material and social spaces in education. We cast light on ableism and psycho-emotional disablement in education so that we and others can challenge, disrupt, and transform it …

Improving The Performance Of Hirep Lattice Simulations Software By Exploiting The Cpu Hardware Architecture Details And Algorithm Characteristics, Md Rahman

School of Engineering, Computing and Mathematics Theses

In the scientific exploration of Quantum Chromodynamics (QCD)—the theory governing the strong interaction among quarks and gluons—large-scale numerical simulations are per formed using the framework of lattice gauge theories. Lattice Gauge Theory (LGT) simulations involve the formulation of gauge field theories on a space-time lattice. HiRep is a simulation suite designed for running lattice simulations, leveraging high-performance computing platforms. HiRep is designed to be flexible enough to study a wide range of strongly interacting systems, particularly those pertinent to novel physics investigations at CERN’s Large Hadron Collider (LHC). However, improving the execution time of HiRep is a challenging and non-trivial …

Fgf5, Evelyn A Carrion, Malcolm M Moses, Richard R Behringer

Faculty, Staff and Student Publications

FGF5 functions as a negative regulator of the hair cycle in mammals. It is expressed in the outer root sheath of hair follicles during the late anagen phase of the hair cycle. It functions as a signaling molecule, mediating the transition of the anagen growth phase to catagen regression phase of the hair cycle. Spontaneous and engineered FGF5 mutations in mammalian animal models result in long hair phenotypes. In humans, inherited FGF5 mutations result in trichomegaly (long eyelashes). Knockdown of fgf5 in zebrafish embryos results in inner ear alterations. Alterations in FGF5 expression are also associated with various human pathologies.

Privacy-Preserving Fingerprinting Against Collusion And Correlation Threats In Genomic Data, Tianxi Ji, Erman Ayday, Emre Yilmaz, Pan Li

Faculty, Staff and Student Publications

Sharing genomic databases is critical to the collaborative research in computational biology. A shared database is more informative than specific genome-wide association studies (GWAS) statistics as it enables “do-it-yourself” calculations. Genomic databases involve intellectual efforts from the curator and sensitive information of participants, thus in the course of data sharing, the curator (database owner) should be able to prevent unauthorized redistributions and protect individuals’ genomic data privacy. As it becomes increasingly common for a single database be shared with multiple recipients, the shared genomic database should also be robust against collusion attack, where multiple malicious recipients combine their individual copies …

Fairness-Aware Estimation Of Graphical Models, Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Qi Long, Li Shen

Faculty, Staff and Student Publications

This paper examines the issue of fairness in the estimation of graphical models (GMs), particularly Gaussian, Covariance, and Ising models. These models play a vital role in understanding complex relationships in high-dimensional data. However, standard GMs can result in biased outcomes, especially when the underlying data involves sensitive characteristics or protected groups. To address this, we introduce a comprehensive framework designed to reduce bias in the estimation of GMs related to protected attributes. Our approach involves the integration of the pairwise graph disparity error and a tailored loss function into a nonsmooth multi-objective optimization problem, striving to achieve fairness across …

Facilitating Clinical Information Extraction With Synthetic Data And Ontology Using Large Language Models, Yan Hu, Huan He, Qingyu Chen, Xiaoqian Jiang, Kirk Roberts, Hua Xu

Faculty, Staff and Student Publications

The rapid growth of unstructured clinical text in electronic health records necessitates robust information extraction systems, yet their development is hindered by the scarcity of high-quality annotated data. This study explores the potential of large language models to generate synthetic data for clinical named entity recognition and examines its impact on model performance. We propose a novel framework that integrates self-verified synthetic data generation with domain-specific semantic mapping using SNOMED-CT. By leveraging GPT-4o-mini for synthetic data creation and refining its quality through iterative verification and anomaly detection, we systematically evaluate the influence of synthetic data quality and quantity on fine-tuning …

Impact Of P53-Associated Acute Myeloid Leukemia Hallmarks On Metabolism And The Immune Environment, Monika Chomczyk, Luca Gazzola, Shubhankar Dash, Patryk Firmanty, Binsah S George, Vakul Mohanty, Hussein A Abbas, Natalia Baran

Faculty, Staff and Student Publications

Acute myeloid leukemia (AML), an aggressive malignancy of hematopoietic stem cells, is characterized by the blockade of cell differentiation, uncontrolled proliferation, and cell expansion that impairs healthy hematopoiesis and results in pancytopenia and susceptibility to infections. Several genetic and chromosomal aberrations play a role in AML and influence patient outcomes. TP53 is a key tumor suppressor gene involved in a variety of cell features, such as cell-cycle regulation, genome stability, proliferation, differentiation, stem-cell homeostasis, apoptosis, metabolism, senescence, and the repair of DNA damage in response to cellular stress. In AML, TP53 alterations occur in 5%-12% of de novo AML …

The Baseline Hemoglobin Level Is A Positive Biomarker For Immunotherapy Response And Can Improve The Predictability Of Tumor Mutation Burden For Immunotherapy Response In Cancer, Yin He, Tong Ren, Chengfei Ji, Li Zhao, Xiaosheng Wang

Faculty, Staff and Student Publications

Purpose: Because only a subset of cancer patients can benefit from immunotherapy, identifying predictive biomarkers of ICI therapy response is of utmost importance.

Methods: We analyzed the association between hemoglobin (HGB) levels and clinical outcomes in 1,479 ICIs-treated patients across 16 cancer types. We explored the dose-dependent associations between HGB levels and survival and immunotherapy response using the spline-based cox regression analysis. Furthermore, we investigated the associations across subgroups of patients with different clinicopathological characteristics, treatment programs and cancer types using the bootstrap resampling method.

Results: HGB levels correlated positively with clinical outcomes in cancer patients receiving immunotherapy but not …

Identifying Missing Is-A Relations In Snomed Ct With Fine-Tuned Pre-Trained Language Models And Non-Lattice Subgraphs, Xubing Hao, Rashmie Abeysinghe, Jay Shi, Guo-Qiang Zhang, Licong Cui

Faculty, Staff and Student Publications

Ensuring the completeness of IS-A relations in SNOMED CT is crucial for maintaining its accuracy in clinical applications. In this study, we propose a hybrid approach leveraging non-lattice subgraphs and pre-trained language models (PLMs) to identify missing IS-A relations in SNOMED CT. We fine-tuned four BERT-based models: BERT, DistillBERT, DeBERTa, and BioClinicalBERT, and four generative large language models (LLMs): BioMistral, Llama3, Gemma2, and Phi-4. Missing IS-A relations were identified through consensus predictions by all eight models. De-BERTa achieved the best performance (precision: 0.96, recall: 0.97, F1-score: 0.965) for IS-A relation prediction. Our approach identified 678 potential missing IS-A relations in …

Relational Database-Based Resource-Provenance Visualization Engine: With An Application To Bican Data, Xiaojin Li, Yan Huang, Lydia Ng, Kimberly A Smith, Wei-Chun Chou, Rashmie Abeysinghe, Ling Tong, Shiwe Lin, Licong Cui, Shiqiang Tao, Guo-Qiang Zhang

Faculty, Staff and Student Publications

Provenance tracking ensures data integrity, security, and accountability in healthcare and biomedical research. As biomedical data grows in complexity, comprehensive tracking mechanisms are needed to maintain reproducibility, transparency, and compliance with regulatory standards, such as GDPR. Traditional log-based and ontology-based approaches capture and standardize data lineage, while cryptographic and blockchain-based methods enhance security and verifiability. However, challenges remain in scalability, security, and usability. To address these, we introduce the Resource-Provenance Visualization Engine (RPVE), an advanced system integrating data lineage tracking and interactive visualization. RPVE employs the Randomized N-gram Hashing Identifier (NHash ID) to establish precise data links within the BRAIN …

Diagnostic Value Of Soluble Interleukin-2 Receptor In Patients Suffering Neurosarcoidosis: A Systematic Review, Aditya Chanpura, Rajesh K Gupta, Shitiz K Sriwastava, Jan Rahmig

Faculty, Staff and Student Publications

Background: Neurosarcoidosis is an inflammatory granulomatous disease. Up to 25% of occult sarcoidosis affecting the nervous system are only detected by autopsy. In addition, in recent years the suspicion arose that the soluble Interleukin-2 Receptor (sIL-2R) might be useful in differentiating between neurosarcoidosis and neurosarcoidosis-like diseases such as neurotuberculosis, multiple sclerosis, or cerebral lymphoma.

Objectives: Therefore, we aimed to systematically review randomized controlled trials (RCT), observational studies, and case-control studies evaluating sIL-2R levels in neurosarcoidosis patients.

Design: For this systematic review, a comprehensive literature search of electronic databases including EMBASE, The Web Of Science, The Cochrane Library, MEDLINE, and Google …

Mir-29 And Mir-140 Regulate Trail-Induced Drug Tolerance In Lung Cancer, Suyeon Kim, Ki Wook Lee, Yongjin Yoo, Sang Hee Park, Ji Won Lee, Suhyun Jeon, Shaginyan Illia, Pooja Joshi, Hyun Woo Park, Han-En Lo, Jimin Seo, Yeonwoo Kim, Min Chang, Tae Jin Lee, Jong Bae Seo, Sung-Hak Kim, Carlo M Croce, Inki Kim, Sung-Suk Suh, Young-Jun Jeon

Faculty, Staff and Student Publications

Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) has chemotherapeutic potential as a regulator of an extrinsic apoptotic ligand, but its effect as a drug is limited by innate and acquired resistance. Recent findings suggest that an intermediate drug tolerance could mediate acquired resistance, which has made the main obstacle for limited utility of TRAIL as an anti-cancer therapeutics. We propose miRNA-dependent epigenetic modification drives the drug tolerant state in TRAIL-induced drug tolerant (TDT). Transcriptomic analysis revealed miR-29 target gene activation in TDT cells, showing oncogenic signature in lung cancer. Also, the restored TRAIL-sensitivity was associated with miR-29ac and 140-5p expressions, which …

Chronic Lymphocytic Leukemia: Disease Biology, Stefan Koehrer, Jan A Burger

Faculty, Staff and Student Publications

Background: B-cell receptor (BCR) signaling is crucial for normal B-cell development and adaptive immunity. In chronic lymphocytic leukemia (CLL), the malignant B cells display many features of normal mature B lymphocytes, including the expression of functional B-cell receptors (BCRs). Cross talk between CLL cells and the microenvironment in secondary lymphatic organs results in BCR signaling and BCR-driven proliferation of the CLL cells. This critical pathomechanism can be targeted by blocking BCR-related kinases (BTK, PI3K, spleen tyrosine kinase) using small-molecule inhibitors. Among these targets, Bruton tyrosine kinase (BTK) inhibitors have the highest therapeutic efficacy; they effectively block leukemia cell proliferation and …

Enhancing Associative Learning In Rats With A Computationally Designed Training Protocol, Xu O Zhang, Yili Zhang, Claire E Cho, Douglas S Engelke, Paul Smolen, John H Byrne, Fabricio H Do-Monte

Faculty, Staff and Student Publications

Background: Learning requires the activation of protein kinases with distinct temporal dynamics. In Aplysia, nonassociative learning can be enhanced by a computationally designed learning protocol with intertrial intervals (ITIs) that maximize the interaction between fast-activated PKA (protein kinase A) and slow-activated ERK (extracellular signal-regulated kinase). Whether a similar strategy can enhance associative learning in mammals is unknown.

Methods: We simulated 1000 training protocols with varying ITIs to predict an optimal protocol based on empirical data for PKA and ERK dynamics in rat hippocampus. Adult male rats received the optimal protocol or control protocols in auditory fear conditioning and fear …

Risk Stratification And Prediction Of Severity Of Covid-19 Infection In Patients With Preexisting Cardiovascular Disease, Stanislava Matejin, Igor D Gregoric, Rajko Radovancevic, Slobodan Paessler, Vladimir Perovic

Faculty, Staff and Student Publications

Introduction: Coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 is a highly contagious viral disease. Cardiovascular diseases and heart failure elevate the risk of mechanical ventilation and fatal outcomes among COVID-19 patients, while COVID-19 itself increases the likelihood of adverse cardiovascular outcomes.

Methods: We collected blood samples and clinical data from hospitalized cardiovascular patients with and without proven COVID-19 infection in the time period before the vaccine became available. Statistical correlation analysis and machine learning were used to evaluate and identify individual parameters that could predict the risk of needing mechanical ventilation and patient survival.

Results: Our results confirmed that COVID-19 …