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At The Intersection Of Care: Bridging Systems Through Connection, Advocacy, And Hope, Taylor Defrees

Graduate Student Portfolios, Professional Papers, and Capstone Projects

This Master of Social Work portfolio, At the Intersection of Care: Bridging Systems Through Connection, Advocacy, and Hope, explores the development of an advanced integrated social work practitioner across clinical, organizational, community, research, policy, and leadership settings. Grounded in the Five Elements of Advanced Integrated Practice and social work competencies, the portfolio reflects the integration of knowledge, skills, values, critical self-reflection, and lived experience across micro, mezzo, and macro levels of practice.

Through practicum, coursework, and professional experiences, the portfolio examines trauma-informed and culturally responsive practice, anti-racism, diversity, equity, inclusion, belonging, behavioral health, and the importance of human connection …

Msw Portfolio, Ashley V. Sifuentes

Graduate Student Portfolios, Professional Papers, and Capstone Projects

Growing into my voice, my journey throughout the MSW program.

A Large Thermal Vacuum (Tvac) Facility To Simulate Cryogenic Space Environments, Emmanuel Kofi Asuako Wie-Addo, Lucas Alexander Scott, Frank Daoru Han

Mechanical and Aerospace Engineering Faculty Research & Creative Works

This work reports the upgrade of a 10-ft (3.0 m) long x 6-ft (1.8 m) diameter vacuum facility as part of ongoing efforts to address some of the technology gaps in NASA's Moon to Mars mission architecture, which include systems to survive and operate through extended periods in extreme environments. Consequently, a removable thermal shroud has been fabricated and installed to facilitate the simulation of extreme cryogenic conditions. The cooling rates of the shroud and a surrogate test article, using liquid nitrogen as the coolant are analyzed and documented under varying vacuum environments during cryogenic testing. The attainable vacuum level …

Upconversion Photoluminescence In Wsse Alloy Monolayer Under Uniaxial Tensile Strain, Shrawan Roy, Jie Gao, Xiaodong Yang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The optical responses of monolayer transition metal dichalcogenides (1L-TMDs) can be tuned effectively by using mechanical strain. In this work, the tuning of upconversion photoluminescence (UPL) emission in 1L-WSSe alloy by applying uniaxial tensile strain is investigated. When the uniaxial tensile strain is changed from 0 % to 1.02 %, the peak position of UPL emission has a redshift of around 25.6 nm, and the UPL intensity goes up with an exponential function of the applied strain as the upconversion energy difference is varied from −197 meV to −131 meV. The sublinear power dependence for UPL emission in 1L-WSSe alloy …

A Combined Tomographic Particle Image Velocimetry And Numerical Simulation Approach For Supersonic Wind Tunnel Calibration, Joshua Gary, Josiah Mcdermott, Kyle Worden, Serhat Hosder, Davide Viganò

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Supersonic wind tunnels remain essential tools for high-speed aerodynamics research, yet the characterization of their free-stream conditions remains technically challenging and lacks standardized criteria for defining "good" flow quality. While traditional calibration methods rely on intrusive probes, recent advances in optical diagnostics offer new opportunities for non-intrusive characterization. In this work, we demonstrate a novel use of Tomographic Particle Image Velocimetry (Tomo-PIV), combined with numerical simulations, as a methodology for supersonic wind tunnel calibration. The approach is applied to the recently upgraded Missouri S&T Supersonic Wind Tunnel, where Tomo-PIV measurements reveal uniform flow with low angularity and low turbulent noise …

Physics-Constrained Generative Adversarial Networks For Dimensionality Reduction In Optimization, Samuel Sisk, Xiaosong Du

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Electric vertical takeoff and landing (eVTOL) aircraft make a unique form of urban air mobility due to their low noise, zero emission, and precision control. To maximize efficiency, high-fidelity simulation-based multidisciplinary design optimization discovers the optimal balance among subsystems within an eVTOL. However, conventional multidisciplinary design optimization is computationally intensive due to excessive high-fidelity model evaluations. Moreover, complex nonlinear constraints deteriorate optimization efficiency and convergence. While surrogate models enable efficient design optimization, surrogate modeling suffers in large-scale applications and surrogate-based optimization still has to deal with nonlinear constraints. To address these challenges, the authors' previous work proposed physics-constrained generative adversarial …

Optimal Takeoff Trajectory Prediction Of Electric Drones Based On A Fully Automated Optimal Experimental Design Method, Jiachen Wang, Dheeraj Paramkusham, Xiaosong Du

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Electric vertical takeoff and landing (eVTOL) aircraft is attracting great interest as a viable solution to promote urban aerial mobility with promising flexibility as well as emission reductions. However, the low specific energy of the current battery is still a strong constraint on the range and endurance of eVTOL flights, especially considering the significant power demands during the takeoff process. Engineering design optimization permits promising solutions for the minimum takeoff energy consumption but can be computationally intensive due to iteratively evaluating simulation models. Surrogate-based design optimization is efficient but still relies on optimization iterations which prohibit real-time decision-making. To fill …

Impact Of Dispersed Crystalline Domains On Lithium-Ion Conductivity In Amorphous Li2.99ba0.005ocl Electrolytes, Emmanuel Olugbade, Junquan Ou, Leon Shaw, Jonghyun Park

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Solid-state electrolytes promise safer, high-energy batteries, yet ionic transport is limited by structural heterogeneity and interfacial resistance. We combine hydrothermal synthesis and molecular dynamics (MD) to determine how dispersed crystallinity and interfacial orientation govern lithium-ion conduction in barium-doped anti-perovskite Li_2.99Ba_0.005OCl. Structural and thermal analyses identify a largely amorphous matrix with embedded nano crystallites, and MD captures the same short-range order and dispersion seen experimentally. Electrochemical impedance spectroscopy separates high amorphous-phase conductivity from a pellet-scale response dominated by interfacial limitations, consistent with direct-current polarization. Cyclic voltammetry indicates a broad electrochemical stability window. We quantify transport in crystalline …

Tomo-Piv Study Of Baseline Flow Structures Behind A Strut Injector, Josiah Mcdermott, Connor Bell, Davide Viganò

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Stabilizing combustion in scramjet engines is a formidable challenge due to the small-time scales afforded for air-fuel mixing. Numerous studies in this area have demonstrated the potential of strut-style platforms for fuel injection and mixing enhancement, which remains an active area of research. In the Aerodynamics Research Laboratory at Missouri S&T, a strut-style injector system has recently been installed. In this study, we characterize the baseline flow structures behind this platform absent fuel injection. The wake generated by a strut itself has an appreciable impact on the resulting air-fuel mixing, which motivates its characterization. In future studies, this characterization will …

Distributed Vibration Sensing For Identification Of Loose Connectors In Coaxial Data Transmission Lines, Saidanvar Esanjonovich Valiev, Anthony C. Okafor, Jeremiah J. Rittenhouse, Jie Huang, Daniel S. Stutts

Mechanical and Aerospace Engineering Faculty Research & Creative Works

This study investigates the effect of vibration-induced loose connections on signal reflection (S11) for loose connection identification in aerospace coaxial cables using distributed sensing approach, which is effective in filtering the noise and identifying minor discontinuities. In this approach, a sliding gated window is applied to S11 signal, a fast Fourier transform is performed over the gated windows, cross-correlation is computed between the baseline and vibration-affected signals, and the standard deviation is mapped along the cable length. Sinewave signals from 9 kHz to 5 GHz were swept through cables with vibrating connectors under three conditions: fully tightened, loosened by 180°, …

Leveraging Virtual Reality And Haptics To Teach Surgical Skills: A Usability Study On Retropubic Midurethral Slings, Lauren Siff, Ginger S. Watson, Jerome Dixon, Moshe Feldman, Franklin Bost, Philippe J. Giabbanelli

VMASC Publications

Traditional methods to learn soft-tissue surgical procedures rely on cadaver labs or patient-based learning, which are costly and geographically limited, and raise ethical questions. Virtual reality (VR) with haptic feedback offers a scalable alternative, but most current platforms emphasize bone-based rather than soft-tissue procedures learned by feel. We developed a VR+haptic simulation for preoperative training of retropubic midurethral sling (MUS) surgery. This study examines the usability of this platform with thirteen expert urogynecologic surgeons and subsequently makes improvements (e.g., in haptics) to evaluate the platform with twelve trainees based on the NASA Task Load Index for workload and a UTAUT-informed …

Modeling Rank Distribution And The Relative Importance Factor Index In Discrete Power-Law Models: Application To Social Resilience Using The Scopus Database, Brian Llinas, Jose Padilla, Humberto Llinas, Erika Frydenlund, Katherine Palacio

VMASC Publications

Prior research on power-law distributions has primarily focused on modeling frequency patterns, with less attention given to rank distributions and how ranked positions reflect relative importance among elements. In discrete power-law distributions, frequency-based metrics often provide limited discrimination in the tail, where elements may exhibit similar counts but differ in relative dominance. These patterns are especially evident, for instance, in academic publishing, where keywords, affiliations, and citations commonly exhibit power-law behavior. To address this limitation, we introduce the Relative Importance Factor (RIF) Index, a statistical measure derived from the estimated discrete power-law rank distribution rather than an additional independent parameter. …

Empowering Through Structured Boundaries: An Integral Model For Fostering Balanced Eating And Nutritional Well-Being, Citrine Elatrash, Colleen Macke, Jenna Shi, Theresa Wilson, Sarah H Elsea, Stephanie Sisley

Faculty, Staff and Students Publications

Purpose: Treating obesity in complex disorders requires individualized health management plans. Effective obesity management in the Smith-Magenis syndrome (SMS) population has multiple inherent barriers related to their cognitive impairments, anxiety, behavioral disturbances, and sleep disorders. However, to date, no research exists related to strategies caregivers successfully employ to help individuals with SMS manage their food intake and mitigate associated behaviors.

Methods: We performed a qualitative thematic analysis of group interviews from 23 caregivers representing 21 individuals with SMS. Hybrid thematic analysis revealed that successful strategies employed by caregivers in this unique population revolved around a global theme of Empowering Through …

Amino Acids And Lean Mass Accretion In Preterm Neonates, Antonio C Ramos Dos Santos, Marta L Fiorotto, Teresa A Davis

Faculty, Staff and Students Publications

Purpose of review: This review evaluates recent evidence on how total protein and energy intake, amino acid composition, and nutrient delivery modality influence protein synthesis in preterm neonates, with the goal of informing nutritional strategies to support optimal lean mass accretion and growth.

Recent findings: Preterm neonates exhibit anabolic resistance to feeding due to impaired insulin and amino acid signaling in skeletal muscle. Enteral nutrition, especially fortified human milk, supports better lean mass accretion and neurodevelopment than parenteral nutrition. Intermittent bolus feeding and pulsatile leucine supplementation during continuous feeding further enhance mTORC1-dependent translation initiation signaling and protein synthesis efficiency in …

Predictors Of Inpatient Rn Turnover In Rural And Urban Vha Hospitals, Katherine G Bay, Chase S Eck, Melissa K Knox, Paras Mehta, Laura A Petersen

Faculty, Staff and Students Publications

Background: The rising demand for health care delivery and an aging workforce is of particular concern in rural areas, where health care access depends upon an adequate nursing workforce. To address this shortage and optimize care, it is essential to measure when registered nurses (RN) leave inpatient direct care positions (ie, inpatient RN turnover) and identify modifiable factors correlated with RN turnover.

Objectives: Apply a novel method for characterizing inpatient RN turnover to understand factors associated with variation in RNs leaving inpatient positions at rural and urban Veterans Health Administration (VHA) hospitals.

Project design: Retrospective cohort study.

Subjects: Direct care …

Social Safety And Social Security: Validating Context-Specific Instruments For Slums, Liss D. Romero, Katherine Palacio, Zacheous Ako Abang, Valeria Silgado, Humberto Llinas, Leidy González, Erika Frydenlund, Daniel Bolivar, Jose J. Padilla

VMASC Publications

Social safety and social security are concepts that help explain a community's well-being by assessing how it manages and mitigate existing, or perceived, risks. However, these terms are often conflated, which can limit understanding, particularly in areas with unstable living conditions. This study explores both concepts in the context of residents living in slums. As the number of displaced people grows, slums and informal settlements are becoming increasingly common worldwide, making it essential to clarify these concepts. Residents of slums face numerous hazards, including crime, violence, inadequate housing, overcrowding, and limited access to essential services. To measure social safety and …

Standardization Of Neuromuscular Reflex Analysis—Role Of Fine-Tuned Vision-Language Model Consortium And Openai Gpt-Oss Reasoning Llm-Enabled Decision Support System, Eranga Bandara, Ross Gore, Sachin Shetty, Ravi Mukkamala, Christopher K. Rhea, Brittany S. Samulski, Amin Hass, Atmaram Yarlagadda, Shaifali Kaushik, Malith De Silva, Andriy Maznychenko, Inna Sokolowska, Kasun De Zoysa

VMASC Publications

Background/Objectives: Accurate assessment of neuromuscular reflexes, such as the Hoffmann reflex (H-reflex), plays a critical role in sports science, rehabilitation, and clinical neurology. Conventional interpretation of H-reflex electromyography (EMG) waveforms is subject to inter-rater variability and interpretive bias, limiting reliability and standardization. This study aims to develop an automated, interpretable, and robust agentic AI–driven framework for H-reflex waveform analysis. Methods: We propose a fine-tuned Vision–Language Model (VLM) consortium combined with a reasoning Large Language Model (LLM)–enabled decision support system for automated H-reflex interpretation. Multiple VLMs were fine-tuned on curated datasets of H-reflex EMG waveform images annotated with expert clinical observations, …

Distilling The Complexity Of Agent-Based Simulations Into Textual Explanations Via Large Language Models, Noé Y. Flandre, Philippe J. Giabbanelli

VMASC Publications

Communicating the design and results of agent-based models (ABMs) to subject matter experts is challenging, which hinders participation and limits trust in simulation-based decision support. Large language models (LLMs) can communicate ABMs as textual summaries, thus complementing traditional disclosure through statistical and visualization techniques. While prior work translated the structure of conceptual models into narratives via LLMs, our extension covers the dynamics of simulation models via an automated simulation-to-text method that extracts contextual information from NetLogo ABMs, performs repeated simulations, and generates narrative descriptions (including the model’s purpose, parameters, and simulation dynamics) using mutimodal LLMs. Furthermore, four summarization algorithms spanning …

Machine Learning Classification Of Prostate Cancer Genomic Sequences Using K-Mer And Sequence-Derived Features, Kuldeep Rawat, Hirendra Nath Banerjee, Jamie Noble, Saa Naudia Deloatch, Satyendra Banerjee, Sachin Shetty, Soumya Banerjee

VMASC Publications

Prostate cancer disproportionately impacts African American men, who experience significantly higher mortality rates and earlier disease onset than other populations. Current diagnostic approaches, including prostate-specific antigen testing and biopsy, lack sufficient specificity and sensitivity, underscoring the need for accurate, molecular-level classification tools. This paper presents a machine learning framework for binary classification of genomic DNA sequences as cancerous or healthy. A dataset of 1684 FASTA-formatted sequences obtained from the National Library of Medicine - GenBank was analyzed, with 1662 sequences retained after quality control filtering. Feature engineering yielded 67 attributes, including GC content, Shannon entropy, sequence length, and trinucleotide k-mer …

Multidimensional Analysis Of Social Discourse On Twitter (X) Around Venezuelan Migration In Columbia, Joseph Martínez, Melissa Miller-Felton, Jose J. Padilla, Erika Frydenlund, Katherine Palacio

VMASC Publications

Colombia has become the principal host of Venezuelan migrants in Latin America, prompting a complex mix of solidarity, anxiety, and discrimination. This study offers a multidimensional analysis of Twitter (now X) discourse on Venezuelan migration in Colombia between 2014 and 2022, using natural language processing, geolocation inference, sentiment analysis, and manual annotation of derogatory terms. Drawing from 7.4 million posts, we examine how online discourse evolves across time, space, and language. While negative sentiment is pronounced in original tweets during periods of political and social unrest, our findings highlight that users tend to amplify neutral and positive messages—over 67% of …

[Abstract For] Bond Pricing Mechanics Beyond Yield-To-Maturity Based Calculations, Maura Alexander, Tom Arnold, Xiu (Summer) Liu

Finance Faculty Publications

Three methods for pricing bonds are presented: using a constant yield to maturity, using the yield curve with discount factors, and using implied forward rates from the yield curve with backward induction.  By moving beyond the first method, more dynamic duration and convexity analyses emerge.  Further, logical connections and extensions are made in regard to pricing bonds with embedded options, the calculation of a swap rate, and the “bond bootstrapping” process for building a yield curve.

Neurotensin Drives Theca Cell Migration During Ovulation In Primates, Jessica S. Miller, Megan A. G. Sage, Thomas E. Curry Jr., Diane M. Duffy

Department of Biomedical and Translational Sciences Faculty Publications

Theca cells are a critical steroidogenic cell type of the ovarian follicle and corpus luteum. The ovulatory luteinizing hormone (LH) surge (or human chorionic gonadotropin (hCG)) stimulates theca cell relocation from the stroma surrounding the dominant follicle to full integration into the developing corpus luteum. Luteinizing hormone/human chorionic gonadotropin also stimulates granulosa cells to produce local mediators of ovulation, including the peptide neurotensin (NTS). To determine if hCG-stimulated NTS regulates theca cell relocation within the ovulatory follicle, vehicle or an NTS receptor antagonist was injected into a macaque dominant follicle, and ovaries were removed 48 h after hCG administration. Additional …

Skeletal Muscle Myofiber Development In Non-Human Primate Offspring Deprived Of Estrogen In Utero, Phillip J. Gauronskas, Terrie J. Lynch, Eugene D. Albrecht, Gerald J. Pepe

Department of Biomedical and Translational Sciences Faculty Publications

Introduction: We previously showed that baboon offspring born to mothers deprived of estrogen during the second half of gestation exhibited insulin resistance prior to and after the onset of puberty. Moreover, the size of skeletal muscle myofibers and the number of microvessels important for delivery of insulin/glucose to myofibers were lower in near-term fetuses deprived of estrogen during pregnancy, and myofiber capillarization remained reduced in post-pubertal offspring deprived of estrogen in utero. However, it remains to be determined whether skeletal muscle size is restored to normal in animals deprived of estrogen in utero after the onset of puberty/gonadal estrogen production. …

P38 Mapk Is Involved In Epigenetic Regulation Of Fibrotic Genes In Replication Induced Senescence In Lung Fibroblasts, Shan Zhu, Jennifer Q. Zhou, Kan Wang, Ming-Lei Guo, Yan Sanders

Department of Biomedical and Translational Sciences Faculty Publications

Fibroblast activation is essential for tissue repair following injury; however, prolonged activation drives pathological fibrosis. Idiopathic pulmonary fibrosis (IPF), a progressive and age-associated lung disease, is characterized by aberrant fibroblast activation, with increasing evidence implicating senescent and near-senescent fibroblasts in its pathogenesis. However, the underlying mechanisms remain poorly defined. In this study, we investigated whether histone modification is involved in TGF-β1 treated lung fibroblasts and contributes to the fibrotic phenotype. Human IMR90 lung fibroblasts at low and high population doubling levels (LPDL and HPDL), as well as primary IPF fibroblasts, were used in this study. In response to TGF-β1, both …

Deletion Of Stim1 In Treg Cells Protects Against Lung Fibrosis And Associated Cardiovascular Complications In A Pre-Clinical Mouse Model, Nagaraja Nagre, Balaji Srinivas, Nicholas Richards, Ryan Washington, Gregory Nicholson, Yan Sanders, Beata Kosmider, Khalid Matrougui

Department of Biomedical and Translational Sciences Faculty Publications

Idiopathic pulmonary fibrosis (IPF) is a progressive and incurable lung disease characterized by excessive tissue remodeling and impaired gas exchange. Evidence highlights the critical interplay between immune regulation, calcium signaling, and redox biology implications in the pathogenesis of fibrotic lung disease. Regulatory T-cells (Tregs), known to modulate cardiovascular and immune function, are diminished in IPF, contributing to inflammation and tissue damage. Here, we demonstrate that the stromal interaction molecule 1 (STIM1), a key regulator of intracellular calcium homeostasis, is significantly upregulated in Treg cells isolated from IPF patients and mice subjected to bleomycin-induced lung injury. This upregulation is associated with …

Comparative Mass Spectrometry Analysis Of High And Low Centrifugation Extracellular Vesicle (Ev) Pellets From Healthy Urine Following Tamm-Horsfall Protein Removal, Dana Bielopolski, Luca Musante, Henrik Molina, Douglas Barrows, Samantha Upson, Lifang Yang, Thomas Carrol, Jonathan N. Tobin, Rhonda G. Kost, U. Erdbrügger

Department of Biomedical and Translational Sciences Faculty Publications

Objectives

Urinary extracellular vesicles (uEVs) are potential biomarkers for renal physiology and disease. Their isolation is challenged by Tamm-Horsfall protein (THP) contamination, particularly in high-speed ultracentrifugation (P100) fractions. Low-speed (P20) fractions contain biologically relevant uEVs, yet their proteomic composition is underexplored. This study evaluates strategies for THP removal to optimize mass spectrometry analysis and characterizes P20 and P100 uEV proteomes and its combination in healthy urine.

Methods

Urine from a healthy volunteer was processed via sequential centrifugation at 21,200 g (P20) and 164,244 g (P100). THP removal was performed using low ionic strength buffer (P20) and size-exclusion chromatography (P100). Western …

Lipid And Foam Cell Accumulation As Novel Pathological Features Of Benign Prostatic Hyperplasia, Dita Julianingsih, Samara V. Silver, Thaissa Horne, Kasun Gunawardena, Savannah Ward, Alicia Malewska, Douglas Strand, Julius Nyalwidhe, Ilya Sobol, Petra Popovics

Department of Biomedical and Translational Sciences Faculty Publications

Background

Benign prostatic hyperplasia (BPH) encompasses a heterogeneous set of pathological processes that instigate lower urinary tract symptoms (LUTS). Using a mouse model of steroid hormone imbalance-induced lower urinary tract dysfunction, we identified luminal lipid-laden foamy macrophages, although their presence and contribution to human pathology have not yet been established. The objective of this study was to determine whether luminal macrophages are associated with human BPH and to assess how lipid accumulation relates to underlying pathological features and clinical parameters.

Methods

Whole-mount tissue sections from simple prostatectomy specimens and prostates from healthy donors were used to evaluate the association of …

Stim1-Dependent Treg Dysfunction Promotes Cardiometabolic Hfpef: Insights From Patients And Animal Studies, Balaji Srinivas, Alluri Kiran, Hongmei Peng, Jiang Xu, Paula Fortuno, Jennifer May, Ismail El Moudden, Nour-Eddine Rhaleb, John M. Herre, Raymond L. Benza, Khalid Matrougui

Department of Biomedical and Translational Sciences Faculty Publications

Background

Heart failure with preserved ejection fraction (HFpEF) arises from chronic cardiometabolic and vascular stress and is increasingly recognized as an inflammatory syndrome with immune dysregulation. Regulatory T cells (Tregs) are critical modulators of cardiovascular inflammation, yet the mechanisms driving Treg dysfunction in HFpEF remain poorly defined. stromal interaction molecule 1 (STIM1)-dependent calcium signaling is a key stress-responsive pathway in immune cells; however, its role in Treg maladaptation during HFpEF remains unknown.

Methods

Circulating Tregs from patients with and without HFpEF were analyzed for abundance, STIM1 expression, and stress-associated signaling pathways. To establish causality, mice with Treg-specific deletion of STIM1 …

Sex Differences In Freezing Behavior And Extinction Learning Among Wistar Rats Exposed To Social Isolation And 15cgy Gcrsim Space Radiation Both Alone And In Combination, Zachary N. M. Luyo, Riley S. Heerbrandt, Alea F. Boden, Frederique E. E. Keumeni, Richard A. Britten, Laurie L. Wellman, Larry D. Sanford

Department of Biomedical and Translational Sciences Faculty Publications

Long-term space missions traveling beyond the Earth’s magnetosphere will expose astronauts to prolonged periods of social isolation (SI) and exposure to space radiation (SR). Throughout these missions, astronauts will have to cope with these stressors and adapt to their environment to carry out mission objectives. It is known that SI and SR can impact mission performance and overall health. Additionally, behavioral stress responses can differ between sexes. However, the independent and interactive effects of SI and SR on fear behavior and extinction learning between sexes is unknown. This study compared freezing behavior and stress-induced hyperthermia (SIH) in female and male …

Hierarchy And Ideology Antagonism: Artificial Intelligence In Ridley Scott's Alien, Grace Anastasia Pula

Theses, Dissertations and Culminating Projects

This thesis examines the objectively threatening structure of artificial intelligence (AI) in the narrative plot of Alien and how it exerts control over the humans. Using a structuralist approach with Louis Althusser's Ideological State Apparatuses (ISAs), I will examine the character relationships and how an android, Ash, enforces a patriarchal, hierarchical system. Drawing on Mark Coeckelbergh’s AI Ethics and Jacques Ellul’s The Technological Society, I will outline broader fears that technology will surpass human intellect and serve a destructive function within an oppressive system. Analyzing two examples of AI characters, the film showcases capitalist ambitions through technological identities and their …