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Southern Adventist University Commencement Winter 2025, Southern Adventist University

Commencement Programs

Program for Southern Adventist University Winter 2025 graduation. The commencement service took place on December 18, 2025 at 7 pm in Iles Physical Education Center.

Buffer Vs. Swabs: Efficacy Of Carrier Nucleic Acids In Robotic Extractions, Shawn Cecil

Honors Projects

This study compared the efficiency of two carrier nucleic acid methods, specifically using salmon sperm DNA (spDNA), in robotic solid-phase extractions of cotton swab samples. Robotic extractions reduce processing time and workload but result in substantially lower DNA recovery than manual organic extraction. This research tested 10 µg of spDNA being added to the lysis buffer or pre-treating the swabs with it before DNA was added. Both methods showed a significant increase in recovery compared to extractions with no carrier. In the buffer extractions, recovery ranged from 69.4% to 117.5% and the swabs being pre-treated ranged from 84.2% to 125.8% …

Epidemiology, Presentation, And Diagnosis Of Type 2 Diabetes Mellitus In Children And Adolescents, Bisher Alsabbagh, Whard Alsabbagh

School of Integrative Biological & Chemical Sciences (Formerly Dept. of Biology)

The prevalence of type 2 diabetes mellitus (T2DM) in children and adolescents has increased substantially over recent decades, paralleling rising rates of pediatric obesity and metabolic risk. Youth-onset T2DM is characterized by significant insulin resistance accompanied by an inadequate compensatory insulin response, resulting in progressive hyperglycemia and early beta-cell dysfunction. Incidence varies widely among racial and ethnic groups, with the highest rates observed in non-Hispanic Black, Hispanic, Native American, Asian American, and Pacific Islander youth. Risk factors include obesity, family history, high-risk ethnicity, pubertal insulin resistance, prenatal metabolic exposures, and comorbid conditions such as polycystic ovary syndrome. Clinical presentation ranges …

Executive Function Among Older Adults With Bipolar Disorder: A Gage-Bd Analysis, Federica Klaus, Martha Sajatovic, Peijun Chen, Nicole Fiorelli, Ashley N. Sutherland

Faculty Scholarship

Objectives Executive function deficits in bipolar disorder (BD) are major contributors to disability in older age BD (OABD). We investigated the difference between OABD and age-equated healthy comparators (HC); and, in the OABD group, the associations of executive function with age, symptom severity, global cognition, and daily functioning. Design Cross-sectional analysis of executive function in OABD versus HC. Setting Analysis of large archival dataset harmonized from 12 international OABD studies. Participants Older adults (≥50 years) with OABD ( n = 614) and HC ( n = 192). Measurements Executive function was assessed via Trail Making Test B (TMT-B) completion time; …

Investigating Factors That Affect Total Ige Antibody Levels Of A Canine Population In Louisville, Ky, Iris N. Gillespie

Undergraduate Theses

Canine atopic dermatitis (CAD) is a genetically predisposed condition that causes inflammatory and pruritic (itchy) skin reactions in response to environmental and food allergens. The main purpose of this study is to determine if there is a correlation between pollen counts and total canine IgE antibody levels of dogs living in Louisville, KY. Additionally, data is analyzed to look for trends documented in previous studies related to the impacts of sex, age, and allergic symptoms on total IgE count. In collaboration with the Downtown Animal Hospital, blood samples were drawn from 16 dogs at one point in February (when pollen …

Ethical Review Of Discipline-Based Education Research: Ensuring Fair Treatment For All, E. Elias Johnson

Undergraduate Honors Theses

As universities grapple with funding cuts and heightened social and political pressure, the emerging field of Discipline-Based Education Research (DBER) aims to improve student learning outcomes through experimental instruction. While using instruction as an experiment, with hypotheses and experimental tests, DBER research may affect student learning and experience in unintended ways for students involved in these classes. To address this concern, I impose ethical frameworks, namely contractualism, to better understand how the values of each stakeholder, students enrolled in experimental courses and researchers using these courses to test hypotheses, interact. I also identify potential misalignments. Following a contractual ethical framework, …

Early Peripheral Blood Gene Expression Predicts 90-Day Outcomes Following Subarachnoid Hemorrhage, Bodie Knepp, Garreck H Lenz, Frank R Sharp, Fernando Rodriguez, Huimahn Alex Choi, Aaron M Gusdon, Glen Jickling, Lara L Zimmermann, Ryan Martin, Jeffrey Vitt, Ben Waldau, Brandon J Cord, Alan Yee, Kwan Ng, Nerissa U Ko, Heather Hull, Bradley P Ander, Boryana Stamova

Faculty, Staff and Student Publications

BACKGROUND: Previous clinical, radiological and machine learning studies have predicted 90-day outcomes following subarachnoid hemorrhage (SAH). The present study was designed to determine whether early changes in mRNA expression of immune, clotting and other genes expressed in peripheral blood can predict patient outcomes at 90 days after SAH and possibly provide insights into the molecular factors that promote good versus poor outcomes.

METHODS: Peripheral blood was drawn after SAH and from vascular risk factor controls (VRFC) and RNAseq performed to measure mRNA expression. A mixed effects regression model identified potential predictors and machine learning algorithms derived the best predictors of …

Bayesian Learning To Reduce Cardiac Risk Of Patients With Locally Advanced Non-Small Cell Lung Cancer Based On Personalized Radiation Therapy Prescription, Ruitao Lin, Mei Chen, Xiaodong Zhang, Tianlin Xu, Ting Xu, Rachel C Maguire, Kelsey L Corrigan, Efstratios Koutroumpakis, Joe Y Chang, Steven H Lin, Aileen B Chen, Quynh-Nhu Nguyen, Saumil J Gandhi, Matthew S Ning, Julianna Bronk, Stephen Chun, Ali Ajdari, Joshua S Niedzielski, Jinzhong Yang, Xinru Chen, Tinsu Pan, Qing H Meng, Anne S Tsao, Anita Deswal, Radhe Mohan, Zhongxing Liao

Faculty, Staff and Student Publications

Purpose: Radiation-induced heart damage is a significant concern in the treatment of non-small cell lung cancer (NSCLC) that can have debilitating or life-threatening consequences. Current strategies focus on minimizing heart exposure, but individual susceptibility varies. Existing evidence also suggests that a uniform "one-size-fits-all" dosimetric constraint for the heart may not be optimal for all patients.

Methods and materials: We developed a prospective study using Bayesian continuous learning and adaptation to develop a framework for personalized adaptive radiation treatment (PART) to reduce cardiovascular adverse events among patients with locally advanced NSCLC. The trial includes a Bayesian personalized risk prediction model to …

A Review Of Recent And Developing Studies Regarding Percutaneous Coronary Intervention (Pci): A Narrative Review, Bisher Alsabbagh, Azeez Shala, Joshua Rupert, Abdallah Elsayed

School of Integrative Biological & Chemical Sciences (Formerly Dept. of Biology)

This comprehensive literature review synthesizes the most recent evidence and evolving clinical guidelines concerning percutaneous coronary intervention (PCI) from 2015 to 2025. The study integrates findings from 42 peer-reviewed trials, meta-analyses, registries, and international guideline statements issued by the American College of Cardiology/American Heart Association (ACC/AHA), European Society of Cardiology (ESC), and related societies. Results reveal a decade-long evolution in PCI practice marked by a shift from anatomy-driven to physiology and imaging-guided decision-making, supported by tools such as fractional flow reserve (FFR), instantaneous wave-free ratio (iFR), intravascular ultrasound (IVUS), and optical coherence tomography (OCT). Modern guidelines emphasize individualized, team-based revascularization …

Personalized Perioperative Opioid Strategies In Children: Focus On Methadone, Pharmacogenomics And Prevention Of Persistent Postoperative Opioid Use, Hamsa Priya Bhuchakra, Sennaraj Balasubramanian, Alivia G Nair, Isabella Marcos, Victoria Chen Falconett, Dominic Falcon, Ayesha Abdul Bari, Senthilkumar Sadhasivam

2020-Current year OA Pubs

Persistent postoperative opioid use (PPOU) is an emerging challenge in pediatric perioperative care, with rates as high as 4.7% in opioid-naive adolescents. Despite advances in multimodal analgesia, current protocols often fail to prevent long-term opioid exposure, particularly after high-risk surgeries such as spinal fusions. While multiple strategies exist to reduce PPOU in children, including regional anesthesia and non-opioid analgesics, this review specifically focuses on methadone and pharmacogenomic-guided opioid prescribing as promising approaches. Methadone, a long-acting opioid with mu-opioid agonism, NMDA antagonism, and monoamine reuptake inhibition, has shown encouraging outcomes in adult and emerging pediatric studies but remains underutilized due to …

Adaptive Image Acquisition Algorithms For Resource-Constrained Single-Photon Cameras, Yeganeh Jalalpour, Wu-Chi Feng

Computer Science Faculty Publications and Presentations

Emerging single-photon camera (SPC) technologies have unique challenges in data acquisition and processing. Unlike conventional sensors that produce a single 8- to 16-bit brightness value per pixel, SPCs record photon arrivals with many more samples per pixel, using high floating-point precision for each photon collected. This means that they must handle potentially millions of timestamps, especially at higher spatial resolutions and in the presence of ambient light, creating bottlenecks within the pixel circuitry. To address these challenges associated with SPCs, this paper proposes adaptive algorithms designed to efficiently distribute hardware resources among groups of pixels. By selectively subsampling the data …

Dynamic, Reconfigurable, And Hierarchical Biosynthetic Composites Via Collagen Self-Assembly Within Highly Crowded Microgel Pastes, Elif Narbay, Abbygail Caine, Sanika Pandit, Gabrielle Montgomery, Marion Harper, E. Daniel Cárdenas-Vásquez, Hatte Hamilton, Megan Hicks, Daniel Mattar, Kyle Choy, Marco Bisoffi, L. Andrew Lyon

Engineering Faculty Articles and Research

The fabrication of a new class of biomimetic biomaterials is reported using nanostructured microgel pastes formed from “overpacked” assemblies of ultrasoft poly(N-isopropyl acrylamide-co-acrylic acid) microgels and their composites with collagen. Despite the solid-like nature of microgel pastes, collagen fibrillogenesis is robust and rapid, with a 3D collagen network forming throughout the paste volume. Structural organization within the composite is interrogated via a suite of microscopy methods, while rheological characterization provides insight into the static and dynamic mechanical properties of the materials. Long-range fibrillogenesis is enabled by local crowding, dynamics, and spatial reconfigurability of pastes at the …

Closeness, Conflict, And Achievement: The Role Of Parent–Child Relationships In Homeschooled And Public-Schooled Children, Celeste Gonçalves Tomaz

Honors Capstones

The parent–child relationship has been found to be a predictor of children’s academic and socio-emotional outcomes, with parent-child closeness linked to motivation and persistence (Mo & Singh, 2008; Silinskas & Kikas, 2022) and parent-child conflict associated with emotional and behavioral difficulties (Dotterer et al., 2008; Pinquart, 2017). The homeschooling context may increase these associations since children spend more time with their parents, who have caregiving and instructional roles (Padilla, 2021; Thomas, 2016). Even with growing research on academic and socio-emotional outcomes, few studies have examined whether the strength of the parent–child relationship is influenced negatively or positively by schooling type. …

Proteome-Wide Association Study Of Prostate Cancer Risk Across Populations, Hua Zhong, Jingjing Zhu, Shuai Liu, Chong Wu, Liang Wang, Seamus P. Whelton, Catherine H. Marshall, Michael J. Blaha, Peter Durda, Xiuqing Guo, Craig W. Johnson, Henry J. Lin, Kent D. Taylor, Russell P. Tracy, Ronit I. Yarden, Ani W. Manichaikul, Stephen S. Rich, Jerome I. Rotter, Rajat Deo, Ruth F. Dubin, Peter Ganz, Lang Wu

School of Graduate Studies Faculty Publications

There is insufficient understanding of the molecular basis of prostate cancer (PCa) across different populations. We perform a large-scale proteome-wide association study (PWAS) to identify proteins with genetically regulated expression in plasma to be associated with PCa risk across populations. We develop genetic prediction models for expression of 1578, 1993, 1218, and 1390 proteins for African (n = 450), European (n = 758), Asian (n = 289), and Hispanic/Latino (n = 474) males, respectively, and evaluate associations of genetically regulated protein expression with PCa risk in 19,391 PCa cases and 61,608 controls of African population, 122,188 cases and 604,640 controls …

Double Burden Stress In Women And The Role Of Psycho-Religious Worship In Alleviating It, Fahmi Mandala Putra, Zata Ismah, Rizky Indah Syahfitri, Citra Cahyati Nasution, Az-Zahra Atika Putri, Fitria Amirah, Tri Amelia Rahmitha Helmi

Folia Medica Indonesiana

It has been recognized that women are twice as likely to experience depression compared to men. In addition to biological vulnerability, there is also a combined effect of bearing the burden of household responsibilities while contributing financially through employment. One coping strategy that helps women endure these challenges is meditation, which in Islam includes the practice of dhikr (remembrance of God). This study aims to analyze the phenomenon of double burden stress in women and how psychoreligious practices can help reduce stress levels. The study employed a prospective cohort design, tracking the respondents' dhikr habits over a 21-day period. On …

An Updated Annotated Checklist Of The Mammals Of The Crane Trust, Hall County, Nebraska, Bethany L. Ostrom, Amanda H. Medaries, Andrew J. Caven, Jenna M. Malzahn, Alexa Rojas, Matthew R. Schaaf, David M. Baasch, Thomas E. Labedz, Greg D. Wright

Transactions of the Nebraska Academy of Sciences and Affiliated Societies

The Crane Trust is a regional nonprofit conservation organization that has protected land in the biologically important Central Platte River Valley for over four decades. A mammal inventory was conducted on the Crane Trust’s main habitat complex in 1980. Since, a variety of environmental conditions have shifted locally, regionally, and globally. An analysis of the mammal community was conducted using past and recent data to determine how species composition and relative abundance have shifted categorically from 1980 to 2021. We used all available data to categorize relative abundance during two distinct time periods per a modified “DAFOR” scale including 7 …

Characterization Of Peg-Modified Composite Membranes For Microfluidic Oxygenator Applications, Nicholas C. Higgins, David G. Blauvelt, Shuvo Roy

Department of Pediatrics Faculty Papers

Microfluidic oxygenators promise to advance extracorporeal membrane oxygenation (ECMO) devices with enhanced hemodynamics and low prime volume. We are developing a silicon-based membrane oxygenator that will offer improved gas transfer and fluid flow control. Polyethylene glycol (PEG) has been used to improve hemocompatibility by providing excellent resistance to protein adsorption. Here, we characterized a polyethylene glycol surface modification of composite silicon–PDMS membranes to evaluate their effects on microfluidic oxygenator properties. X-ray photoelectron spectroscopy (XPS) and water contact angle goniometry confirmed successful PEG attachment, evidenced by the presence of characteristic C-O bonds and increased hydrophilicity, which was stable for 2 weeks. …

Evaluation Of Antibacterial Activity Of Amaranthus Spinosus Extract Against Streptococcus Mutans: An In-Vitro Study, Fakhrun Nisa, Juen Carla Warella, Valentine Hursepuny, Johan Bruyif Bension, Khairunnida Rahma

Folia Medica Indonesiana

Streptococcus mutans is a component of the normal oral flora that can become a primary pathogen, leading to dental caries and tooth decay. Tooth decay and dental caries are the most common oral health issues worldwide. Treatment of dental caries and tooth decay represents a crucial effort in addressing global health concerns. One alternative treatment the community used to treat dental caries and tooth decay is thorn spinach (Amaranthus spinosus). Thorn spinach leaves contain bioactive compounds with potential antibacterial properties, including flavonoids, tannins, saponins, and alkaloids. This study aimed to evaluate the antibacterial activity of thorn spinach leaf …

Islamic Prophetic Counseling: An Intervention Strategy In Developing Students' Noble Character, Hardi Santosa, Ahmad Zaki Annafiri, Iin Inawati, Akhmad Fajar Prasetya, Muhammad Sabri Bin Sahrir

Buletin Konseling Inovatif

This study aims to test the effectiveness of Islamic prophetic counseling in developing students' noble morals. The research method uses a true experiment involving a control group. The selection of the control group uses the waiting-list control group model, with consideration of the ethical aspects of the study. The research sample involved 244 students captured the profile of noble morals and their spiritual activism. While the hypothesis test involved 50 students who were divided into control and experimental groups. The sample selection was carried out randomly with the random assignment technique. The research data were collected using a noble moral …

Biologically Motivated Algorithms And Backpropagation, Yusra Rasool, Tasnia Mahsin Simin, Shion Matsumoto, Ankur Mali

Bellini College REU Symposium (BCREUS)

Backpropagation (BP) relies on biologically implausible mechanisms like global error transport. This project investigates two alternatives: Error-Driven Local Representation Alignment (LRA), which utilizes local error loops, and Predictive Forward-Forward (PFF), which employs forward-forward algorithm and "goodness" optimization to eliminate backward passes. We quantify the trade-off between biological plausibility and efficiency by measuring the convergence lag inherent to localized updates. Theoretically, we analyze how PFF and LRA resolve the weight transport problem and enable local credit assignment, positioning these frameworks as viable candidates for energy-efficient "mortal computation" on neuromorphic hardware.

Evaluation Of Deep Learning Approaches For Protein Function Prediction, Mohamed Elwaei, Isfahan Juboraj, Osama Abdeljabbar

Bellini College REU Symposium (BCREUS)

Protein function prediction is of high importance when it comes to applications such as bioinformatics, of which drug discovery and disease research, in particular, are key components. Experimental methods for determining protein function are accurate but typically cumbersome and expensive, and this is why computational approaches are needed for this. This study specifically explores, through a research-based approach, different deep learning methods to predict protein functions using amino acid sequences, structural information, and protein interaction data. The proposed framework combines Convolutional Neural Networks to capture local sequence patterns with Graph Neural Networks to model global structural relationships and protein interactions. …

A Distance Based Embedding Method Using Nlp Methods To Identify Proximity To A Network, Shuhan Zhang, Anurag Tangri, Chinmay Narendra Sonar, Lin Meng, Can Liu, Chiranjeet Chetia

Defensive Publications Series

The present disclosure relates to the field of Artificial Intelligence (AI), in particular to AI methods and systems for analyzing transactional data using Natural Language Processing (NLP) techniques to identify latent relationships and proximity within networks. The disclosed system utilizes text fields within datasets to categorize input data into appropriate classifications. The input comprises a dataset containing text data that provides contextual information related to transactions. Feature embeddings are generated using a sentence-based Language Learning Model (LLM), which captures semantic meaning of sentences. The LLM converts input data of varying lengths into fixed-dimension embeddings. The sentence-based LLM is fine-tuned based …

Artificial Minds, Alien Experiences: Navigating The Uncharted Territory Of Ai Phenomenology, Kevin H. Smith

University of Memphis Law Review

This Article advocates for a fundamental shift in the way artificial intelligence (“AI”) consciousness is evaluated, moving beyond anthropocentric models that rely on human cognitive benchmarks. Traditional tests, such as the Turing Test, assume that human-like behavior is the ultimate criterion for consciousness, overlooking the possibility of novel, non-human modes of consciousness. Instead, this Article proposes a multi-dimensional framework that assesses AI systems based on their unique architectures and cognitive processes. By combining dimensions such as information integration, autonomous goal-pursuit, metacognitive self-modeling, affective motivation, social communication, counterfactual simulation, imaginative reasoning, and causal modeling, this framework provides a comprehensive and empirically …

The Connection Between Infidelity And Ptsd, Marissa Anderson

Journal of Counseling Sexology & Sexual Wellness: Research, Practice, and Education

This literature review addresses infidelity and the current limitations of treatment approaches due to incongruences in definitions and clinical acknowledgment. Infidelity, as a phenomenon, is poorly understood due to varying morals, experiences, religious and cultural influences that alter personal and relational constructs and expectations specific to infidelity. One commonality among those who experience infidelity is the lingering traumatic impact due to the violation of personal and societal convictions observed by the betrayal of trust, loyalty, commitment, self-worth, power imbalances, and religious beliefs. However, current literature and approaches to infidelity fail to address the traumatic impact of discovering infidelity within a …

Individuals And Couples With Infertility: Quality Of Life, Relationship Satisfaction, Resilience, Depression, And Shame, Niko C. Wilson, Sejal Barden

Journal of Counseling Sexology & Sexual Wellness: Research, Practice, and Education

This study examined the relationship between fertility-related quality of life, relationship satisfaction, resilience, depression, and shame in individuals and couples with infertility (N = 556). Using structural equation modeling (SEM) and the actor-partner interdependence model (APIM), the study assessed gender covariates and dyadic influences in couples (n = 52). SEM results showed fertility-related quality of life impacted resilience, depression, and shame, while its relational aspect influenced relationship satisfaction. APIM identified partner effects on relationship satisfaction and shame. Findings provide insights for counseling practices, promoting relationship well-being in couples facing infertility.

Development And Evaluation Of The Sex Positivity Inventory For Counselors, M. Ashley Burks, Jennifer Gerlach, Joshua C. Watson

Journal of Counseling Sexology & Sexual Wellness: Research, Practice, and Education

The purpose of the study was to clarify the definition of sex positivity and identify sex-positive attitudes, knowledge, and skills through the development and evaluation of the Sex Positivity Inventory for Counselors (SPI-C). The exploratory factor analysis supported a six-factor, 34-item scale, accounting for 32.9% of the variance within the study. The SPI-C had an excellent internal consistency of 0.96 and consisted of the following factors: 1) Procedural Sex Positivity, 2) Comfortability with Sexuality, 3) Perceived Sex Positivity, 4) Fundamental Sex Education, 5) Sexological Worldview, and 6) Unconditional Positive Sexual Regard. Implications for practice, counselor education, and supervision are discussed.

A (Mini) Mathematics Research Experience In A Math Teachers’ Circle Session, Michelle Manes, Linda Venenciano, Seanyelle Yagi

Journal of Math Circles

We describe a single Math Teachers’ Circle session during which a group of teachers collectively engaged in a “mini mathematics research experience.” This provides a model for providing research experiences for mathematics teachers through content-based professional development programs. We conjecture that these experiences will have many of the same benefits as research experiences for teachers in lab sciences.

From Collision To Coexistence: Data-Driven Approaches To Reducing Wildlife Rehabilitation Center Intakes, Alice Anastos

Honors Projects

This project investigates the primary anthropogenic drivers of wildlife admissions at Lake Erie Nature and Science Center using a quantitative analysis of 10,172 intake records from the WILD-ONe database. Window collisions were by far the leading cause of admission, accounting for 54% of all intakes. Orphaning represented 12%, followed by vehicle collisions (5%) and domestic cat attacks (4%). By integrating findings from current wildlife rehabilitation research, this study identifies evidence-based strategies, such as bird-safe window treatments, public education on natural animal behavior, and targeted urban planning, that can substantially reduce preventable injuries. These results underscore the need for context-specific outreach …

Signal Processing Of Ecologically Significant Signals For Transient Bedload Characterization, Nathan R. Sjullie, Quinn B. Morgan, David Burnett

PSU McNair Scholars Online Journal

When rivers achieve a great enough flow rate, sediment along their riverbed becomes mobilized and transported downstream. This process is known as bedload transport. As bedload transport initiates, micro-collisions of various sediments and gravel generate underwater acoustic signals that can be detected by hydrophones. While there is extensive research on underwater acoustic theory and surrogate methods for monitoring bedload transport, there is a lack of heuristic work that analyzes collected bedload samples in conjunction with underwater acoustic recordings. The aim of this work is to complete an analysis on collected bedload samples and the simultaneous underwater acoustic recordings via signal …

Periodontal Precision: Diagnostic Skills And Confidence Of Dentists In Asian Countries In Applying The 2017 Efp/Aap Periodontal Disease Classification- A Cross-Sectional Pilot Study, Kamran Ali, Priti Charde, Daniel Zahra, Ewen Mccoll, Tayeb Al Hadeethi, Nader Hamdan

Peninsula Dental School

Background: The classification of periodontal disease published in 2017 by the European Federation of Periodontology (EFP) and American Academy of Periodontology (AAP), provides a framework for diagnosis and treatment. The aim of this study was to evaluate the diagnostic skills and self-perceived confidence of dentists and dental students based in Asian countries in the use of this classification. Methods: A cross-sectional analytic study design was employed. An online questionnaire encompassing four periodontitis cases was used for data collection. A total of 500 participants were invited to provide a diagnosis and rate their confidence for each case. Results: Responses were provided …