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Computational And Experimental Analysis Of Knee Kinematics And Gait Variability: The Effects Of Load, Speed, And Fatigue On Human Motion, Alfirio Trejo Jr.

Theses and Dissertations

This thesis investigates the biomechanical behavior of the human knee under varying conditions of motion, load, and fatigue, with a focus on clinical angle analysis and gait stability. Four studies were conducted using motion capture data and a modified Grood and Suntay Joint Coordinate System (JCS) to evaluate knee joint kinematics—specifically flexion-extension, abduction-adduction, and internal-external rotation. The first study examined the effects of incremental weight loads during isolated knee extension exercises, revealing dose-dependent increases in abduction and internal rotation that may contribute to joint stress. The second study assessed the impact of walking speed and asymmetric loading on gait, showing …

Comparative Analysis Of Sequential And Non-Sequential Modeling Techniques For Ddos Attack Detection With Explainable Ai, Vincent Agbenyeavu

Theses and Dissertations

Cybersecurity is known today as one of the greatest challenges of the modern era. Among the various types of cyber-attacks that threaten our security, the Distributed Denial of Service (DDoS) attack is among some of the most common, effective, and well-recognized attack strategies. Since this form of attack is meant to disrupt the availability factor covertly, it can be detrimental to the targeted machines and difficult to discover. Because of that, there have been several approaches, as well as solutions that have been devised to detect it as accurately and efficiently as possible. In this study, four sequential data modeling …

Exploring Transcriptional Stress Responses In Sorghum And Evolutionary Insights Into Yth Domain Proteins Across Plants, Shikha Bharti

Theses and Dissertations

Understanding how plants respond to abiotic stress is crucial for enhancing crop resilience in the face of climate change. This thesis explores plant stress adaptation mechanisms through two interlinked studies that address different aspects of gene regulation. The first study investigates the transcriptional dynamics of Sorghum bicolor under drought and heat stress at 1-hour and 6-hour time points. By employing 3'-end RNA sequencing, this study provides a comprehensive temporal view of gene expression changes, revealing stress-responsive transcription factors, hormone-associated pathways, and chromatin regulators. The comparative analysis highlights both common and distinct molecular responses between drought and heat stress, providing insights …

Biological, Histological, And Immunohistochemical Responses To Heat Stress In Common Goldfish, Carassius Auratus, Ngozichukwu Francis Ngozichukwu

Theses and Dissertations

Global climate change has led to rising temperatures, posing significant challenges to aquatic ecosystems and the health of ectothermic species such as goldfish (Carassius auratus) This thesis investigated the effects of heat stress on growth performance, histological alterations, and molecular stress responses in the gill and kidney tissues of goldfish Fish were exposed to control (24°C), medium (28°C), and high (32°C) temperatures for two weeks Growth parameters, including instantaneous growth rate (IGR), absolute growth rate (AGR), body value gain (BVG), and condition factor, were evaluated alongside histological and immunohistochemical markers of stress Results revealed that high temperature significantly reduced AGR …

Interdigitated Gear-Shaped Screen-Printed Electrode Using G-Pani Ink For Sensitive Electrochemical Detection Of Stress Related Hormones Dopamine And Cortisol, Pritu Parna Sarkar

Theses and Dissertations

This research introduces a novel interdigitated gear-shaped graphene-based electrochemical biosensor for the simultaneous detection of dopamine (DA) and cortisol. Modified with graphene–polyaniline (G–PANI) conductive ink, the sensor increased active surface area—94.52% and 57% higher than Metrohm DropSens 110 and circular printed sensors, respectively. Scanning Electron Microscopy (SEM), Fourier Transform Infrared (FTIR) Spectroscopy and X-ray diffraction (XRD) were employed for physicochemical characterization. The sensor detects dopamine and cortisol over a linear range of 0.1–100 µM, with limits of detection of 0.043 µM (R² = 0.98) and 0.0577 µg/mL (R² = 0.976), respectively, in phosphate-buffered saline (PBS) using redox probe. Electrochemical performance …

Chronic Lower Extremity Anomalies: Impact Of Diabetic Induced Foot Amputations On Human Locomotion, Anthony Arnoldo Melgar

Theses and Dissertations

This research aims to understand the physiological changes that the human body undergoes post partial foot amputation (PFA). A total of three studies were conducted to fully comprehend biomechanical changes and adjustments that occur during locomotion for affected individuals. The first study of this thesis focuses on obtaining kinematic data for both the ankle joint angle and ankle joint torque for the healthy population, as well as for the affected PFA population. Results were compared, and notable differences were present between the two. The second study of this thesis dealt with individual muscle forces. To obtain the muscle force data, …

Opa1-Mediated Mitochondrial Dynamics In Myogenic Differentiation Of C2c12 Myoblasts, Daniel Eloy Bazan

Theses and Dissertations

Mitochondria play a pivotal role in metabolic energy production, cellular signaling, and apoptosis. To carry out these key cellular roles, mitochondria dynamically balance their organization through opposing including fusion and fission processes. The balance between mitochondrial fusion and fission is regulated by key proteins such as OPA1 (optic atrophy 1) and OMA1 (overlapping activity with metalloprotease). More recently, mitochondria have been increasingly revealed to play key roles in cellular differentiation, where metabolic demands are reprogrammed. This study aims to elucidate the specific roles of OPA1 and OMA1 in the differentiation of C2C12 myoblast cells into myotubes.

Our data demonstrates that …

Machine Learning Applications For Evaporation Predictions From Small Reservoirs: Potential Water Savings For Lower Rio Grande Valley, Texas, Syed Muhammad Fahad Abdullah

Theses and Dissertations

Local-scale reservoirs are important to regional water balance, but these are often overlooked. This study presents a robust machine learning (ML) approach leveraging reanalysis datasets to estimate daily evaporation for local-scale reservoirs in semi-arid South Texas. Selected models were trained with daily lake evaporation model (DLEM) estimates and used climatic and reservoir-specific properties as feature input variables. The multi-reservoirs training approach ensured applicable model generalization. Results show promising predictive performance with R² values ranging from 0.55–0.67 (testing) and 0.64–0.78 (validation), NSE values ranged from 0.54 0.67 (testing) and 0.64–0.78 (validation), and RMSE values ranged between 1.52–1.80 mm/day (testing) and 1.22–1.58 …

Low-Cost Monitoring And Fingerprinting Of High-Powered Electric Systems, Kwabena Buamono Aboagye-Otchere

Theses and Dissertations

Electric motors are vital to industry, transport, and energy, yet their maintenance challenges persist. While traditional reactive maintenance leads to costly downtime and safety risks, predictive maintenance, especially through IoT and machine learning offers early fault detection and operational efficiency. However, this shift introduces security concerns due to unintended magnetic emissions from motors. These emissions, though useful for non-intrusive monitoring, can be exploited to eavesdrop on sensitive industrial processes. This dissertation explores the dual nature of magnetic emissions: their value in motor diagnostics and their potential as a security vulnerability. It demonstrates how emissions can identify motors, monitor health, and …

Computational Calculations On Zno (0001) And Zno (1010) Surfaces With And Without Pd Adatoms, Amit Aich

Theses and Dissertations

In this research work, first-principles density functional theory (DFT) was used to study O-terminated, Zn-terminated ZnO (0001) surfaces and non-polar ZnO (1010) surfaces. Both clean surfaces and those with Pd or PdO adatoms were examined. Adsorption was considered at O, Zn and hollow sites. After structural relaxation, we analyzed the electronic, optical and adsorption properties. The O-terminated ZnO (0001) surface has a larger band gap of 0.76 eV and p-type conduction. The Zn-terminated surface has a smaller band gap of 0.15 eV and shows n-type behavior. Pd adsorption modifies ZnO’s electronic structure in a site-dependent manner. On O-terminated surfaces, it …

Phenotypic Plasticity In Response To Abiotic Factors In Silverleaf Nightshade (Solanum Elaeagnifolium), And The Effectiveness Of North American Lacebug (Gargaphia Arizonica Drake And Calvo) As A Biocontrol, Marco Andre Silguero

Theses and Dissertations

Silverleaf nightshade (Solanum elaeagnifolium) is a widespread invasive weed in South Texas and other arid regions, where it reduces crop productivity, competes with native vegetation, and resists conventional control methods. Its ability to thrive across different environments is linked to phenotypic plasticity, allowing it to adjust growth and physiology in response to light and water availability. In this thesis, I examine the role of plasticity in S. elaeagnifolium under field conditions and evaluate the potential of the North American lacebug (Gargaphia arizonica) as a biological control agent. Field observations were used to measure plant traits such as height, stem thickness, …

Climate Change Denial Messages As Post-Truth, David H. Kahl Jr., Ahmet Atay

Journal of Communication Pedagogy

Post-truth messages are hegemonic forms of communication intentionally designed to create false narratives that perpetuate power and marginalize others. These messages make differentiating fact from fiction difficult. Students are especially susceptible to believing and internalizing post-truth messages due to their high level of interaction with social media and the neoliberal period in which they have been raised. One type of post-truth message that has become especially prevalent is climate change denial messages that advance a neoliberal agenda. This article will apply tenets of critical communication pedagogy (CCP) as a means by which to recognize messages that deny climate change as …

Sarcoplasmic Reticulum-Mitochondria Microdomains: Hugging And Kissing In The Heart, Bong Sook Jhun, Jin O-Uchi, Brian Rhee, Ameneh Ahrari, Nathan Demichaelis, Kye-Im Jeon, David M. Booth, Shey-Shing Sheu

Center for Translational Medicine Faculty Papers

Endoplasmic reticulum (ER)-mitochondrial (ER-Mito) interface, termed mitochondrial-ER contacts (MERCs), plays significant roles in the maintenance of bioenergetics and basal cell functions via the exchange of lipids, Ca 2 þ , and reactive oxygen species (ROS) in various cell types/tissues. Genetic deletion of mitofusin 2 (Mfn2), one of the key components of ER-Mito tethering, in cardiomy- ocytes (CMs) in vivo revealed the importance of the microdomains between mitochondria and sarcoplasmic reticulum (SR), a dif- ferentiated form of ER in muscle cells, for maintaining normal mitochondrial Ca 2 þ (mtCa 2 þ ) handling and bioenergetics in the adult heart. However, key …

The Real Story Of “The Happy Mother”: A Narrative Inquiry Exploring The Construction Of Motherhood And Postpartum Depression, Elizabeth Erin Falconer

Seton Hall University Dissertations and Theses (ETDs)

The transition to motherhood is a complex and challenging period, during which mothers undergo a considerable number of biological, hormonal, and identity changes. The first six to eight weeks following childbirth is a time of great susceptibility to postpartum depression for mothers. Despite its prevalence, there is a lack of research beyond the biological understanding of the experience. Prior literature has examined the biological aspects of postpartum depression and its societal influences on motherhood. However, no prior study has explored how postpartum depression impacts mothers’ construction and understanding of motherhood through investigating their subjective, lived experiences. This study fills that …

"I'Ll Leave The Back Porch Light On:" An Exploration Of The Legitimization Of Same-Gender Male Couple Members Through Marriage And Parenthood For Those With Adverse Coming Out Experiences, Devin S. Simpkins

Seton Hall University Dissertations and Theses (ETDs)

Reczek and Bosley-Smith (2022) identified several reasons why queer adult children reported feeling compelled to maintain relationships with their rejecting parents, and the strategies that they utilized to do so. The construct of legitimization exists within a heteronormative context, contributing to the theory that adherence to cis-heteronormative relational ideals allows same-gender couples to have a greater chance of being accepted by the dominant culture (Chevrette & Eguchi, 2020). Unintentional or deliberate aligning with idealized images of traditional (i.e., cisgender and heterosexual) couples or families is a means by which same-gender couples may seek this acceptance.

The present study sought to …

Maggot As A Bioconversion Agent Of Cow Blood Waste And Date Pulp Into Feed Raw Materials: A Chemical Profile Study, Imra Atun Helmi, Hidayati Nufus, Ikrima Ahdavia, Muhamad Farid, Ahmad Sjahriza

Chimica et Natura Acta

Cow blood waste and date residue become environmental problems if not appropriately managed. So far, there has yet to be any special management to handle the waste. On the other hand, cow blood waste and date pulp can be efficiently decomposed by maggots. This research was carried out to utilize organic waste as maggot cultivation by producing animal feed materials high in protein and fat, and to determine the best composition in the feed medium. Maggot feed treatment consisted of household organic waste as P0, mixed feed as P1, the ratio of cow blood waste to date pulp P2 (1:1), …

Effectiveness Of Magnetic Nanocomposites Modified With Reduced Graphene Oxide Derived From Spent Coffee Grounds For Pharmaceutical Waste Remediation, Raisya Fakhira Khairani, Faisha Nurqisthi, Sindhi Ika Nuari, Syifa Rahmalia Herwinta, Aqilla Irfa Muthia Rahma, Diana Rakhmawaty Eddy

Chimica et Natura Acta

The Covid-19 pandemic significantly inflluenced the growth of the pharmaceutical industry in Indonesia, leading to environmental challenges, particularly with the discharge of pharmaceutical wastewater. Traditional treatment methods, such as flocculation and coagulation, hav limitations as they produce large volumes of activated sludge. An alternative approach for remediating this wastewater is the use of magnetite nanocomposites modified with reduced graphene oxide. This material leverages the unique properties of reduced graphene oxide, enhancing the separation and transfer of electron-hole pairs generated in the photogeneration process and significantly reducing charge carrier recombination in the photocatalytic system. This study aims to determine the degradation …

Intersecting Realities And Evolving Landscapes: Mapping Generative Ai Within The Framework Of Digital Rhetoric, Joshua Troy Nieubuurt

English Theses & Dissertations

The increased usage of [Generative] AI technologies (GenAI) in the 21st century has called into the question the rhetorical agency of these digital things. [Gen]AI has historically been framed within a Heideggerian “readiness-to-hand” dynamic in which it has been unilaterally conceived as a tool to be used by humans. This dissertation proposes that the GenAI assemblage is capable of being a co-actor in rhetorical spaces. To provide evidence for this stance This dissertation utilizes Actor Network Theory to map the actants within a GenAI assemblage. In doing so it allows for an understanding of the stakeholders (both human and non-human) …

Identifying The Diagnostic Challenges And Indicators Of Orthostatic Tremor: Patient Perspectives, Diego Torresrussotto

All Publications

Background: The diagnosis of orthostatic tremor (OT) is challenging because of its non-specific symptoms and a broad range of differential diagnosis, resulting in a complex and lengthy diagnostic journey.

Objective: The aim was to assess the diagnostic delay in OT and to identify key clinical indicators as reported by patients.

Methods: In 2019, the American OT community developed and distributed a web-based survey titled "Symptoms and Diagnosis of Orthostatic Tremor (OT)." The survey included questions on demographics, the diagnostic process, and symptomatology.

Results: An international cohort of 360 OT patients participated in the study, of which 147 with electromyography (EMG)-confirmed …

Graduate Students’ Perspectives On Universal Design For Learning (Udl) 3.0 Guidelines: A Q-Methodology Study, Taylor C. Rodriguez

Educational Leadership & Workforce Development Theses & Dissertations

The purpose of this study was to explore graduate students’ perspectives of Q-methodology to understand their insights on the newly updated Universal Design for Learning (UDL) 3.0 guidelines and how they feel these guidelines support their academic journey. A Q-sort instrument consisting of 36 statements aligned with UDL 3.0 principles was administered to graduate students at the master’s and doctoral levels. Thirty-two participants completed the Q-sort activity, and factor analysis revealed four distinct viewpoints reflecting varied perceptions of UDL’s relevance and impact within graduate education.

Findings indicate areas of consensus among students, particularly regarding the importance of developing student autonomy …

Endotherm Energetics Under Environmental And Physiological Constraints, Zachary Andrew David

Biological Sciences Theses & Dissertations

Metabolic rate governs how animals allocate energy toward maintenance, activity, growth, and reproduction, linking physiology to environmental context. This dissertation investigates how two endothermic mammals regulate metabolic rate in response to environmental variability, focusing on thermoregulatory flexibility and physiological constraints. Using flow-through respirometry, I measured resting metabolic rates (RMRs) in two complementary systems: tropical bears housed in semi-natural outdoor enclosures and marsh rice rats (Oryzomys palustris) exposed to controlled thermal treatments. Asiatic black bears (Ursus thibetanus) exhibited unexpectedly low mass-specific metabolic rates even under high ambient temperatures, yet their RMR increased with temperature, suggesting proximity to their …

Learning Regulatory Dna-Sequence Code Of Epigenetic Events Using Deep Neural Networks, Sanjeeva Reddy Dodlapati

Computer Science Theses & Dissertations

Epigenetic events, such as DNA methylation and histone modifications, arise from a complex interplay among genomic sequence, chromatin-remodeling factors, and environmental cues. These regulatory mechanisms can induce changes in gene expression without altering the underlying DNA sequence, playing critical roles in development, disease, and cellular differentiation. Among these events, DNA methylation is frequently profiled using bisulfite sequencing (e.g., whole-genome bisulfite sequencing [WGBS], reduced representation bisulfite sequencing [RRBS]). However, predictive modeling of epigenetic states—including methylation patterns and regulatory variant effects—remains challenging due to data sparsity, label noise, and limited uncertainty estimation in current deep learning approaches. This dissertation addresses these issues …

Examining Access, Outcomes, And The Experiences Of Black Women: Improving Racial Equity In Adult Drug Treatment Court, Laquana N. Askew

Sociology & Criminal Justice Theses & Dissertations

Black women face compounded systemic barriers in the criminal legal system because of oppression and erasure of their racial and gendered identities. Although Adult Drug Treatment Courts (DTCs) are designed to divert individuals with substance use disorders from incarceration with the alternative of therapeutic intervention, Black women, compared to their Black male and White female counterparts, remain underrepresented and experience less favorable outcomes despite their increased presence in the criminal legal system due to drug related offenses. Using an intersectional Black Feminist framework, the current study critically examines the processes and structural barriers that contribute to Black women’s limited access …

Multimedia Forensics: Identification And Verification Of Source Camera, Vehicle Speed Estimation, And Deepfakes Detection, Jiajun Jiang

Electrical & Computer Engineering Theses & Dissertations

This dissertation advances multimedia forensics by addressing three critical research areas that enhance the authenticity verification and analysis of digital media. Multimedia forensics, which encompasses techniques for examining images, videos, audio, and text, faces increasing challenges due to sophisticated editing tools and massive data volumes. In the first study, a fast source camera identification and verification method based on PRNU analysis is proposed for video forensic investigations. By integrating camera rolling and I-frame analysis, this approach achieves a processing speed improvement of at least 15 times over conventional frame-by-frame methods while reducing false positives. The second study focuses on vehicular …

Two Analytic Issues Arising From Models In Probability And Materials Science, Giang Vu Thanh Nguyen

Mathematics & Statistics Theses & Dissertations

This dissertation explores two distinct topics centered on mathematical models in probability theory and materials science. The first part investigates a series of functions derived from an adaptive algorithm designed to address the score-based secretary problem, a classic challenge in probability theory. This problem involves making immediate decisions to select the best candidate from a sequence of interviews. The algorithm aims to maximize the probability of selecting the optimal candidate based on observed scores. We prove two fundamental analytic properties of this sequence of functions as a theoretic support of the algorithm: first, the functions in the sequence each possess …

Computational Modeling For Automatic Superconducting Cavity Fault Prediction And Classification Using Time Series Signals, Md Monibor Rahman

Electrical & Computer Engineering Theses & Dissertations

Processing multivariate time series signals collected from sensor networks is challenging because of complex temporal dependencies and non-stationarity. With the advent of artificial intelligence (AI) like machine learning and deep learning, it has become possible to process sensor-driven time series data more effectively than traditional statistical methods.

This dissertation aims to develop machine learning and deep learning models to address machine fault diagnosis using multivariate time series signals collected from the Continuous Electron Beam Accelerator Facility (CEBAF) at Jefferson Lab. The first goal of the proposed work is to develop deep learning–based classification models and an unsupervised fault clustering approach …

Towards Improving Computational Modeling Of The Lumbar Spine - Impact Of Material Properties And Laminotomy On Spinal Biomechanics, Isaac K. Kumi

Mechanical & Aerospace Engineering Theses & Dissertations

Spinal ligaments play a crucial role in maintaining the mechanical stability of the lumbar spine. These dense, collagenous tissues not only resist excessive motion but also distribute loads between spinal components to protect neural structures. Traditionally, the mechanical response of ligaments has been modeled using linear elastic assumptions, which treat the tissue as having a constant stiffness regardless of loading history. While this simplifies analysis, it fails to capture the time-dependent behaviors, such as creep, stress relaxation, and hysteresis, that are characteristic of biological tissues.

Viscoelastic modeling may provide a more physiologically accurate representation by incorporating both elastic and viscous …

Toward More Challenge-Engaging Stem Students: A Narrative Inquiry Into Student Persistence In The Face Of Failure, Stephanie R. Fahey

Educational Leadership & Workforce Development Theses & Dissertations

Science, Technology, Engineering, and Mathematics (STEM) postsecondary graduates greatly contribute to advances in technology and research, and STEM fields promise graduates careers with positive long-term outcomes. Many postsecondary students initially choose STEM majors; however, less than half of those students graduate with a STEM degree. High STEM attrition is a problem that continues to vex educators and researchers. One attributable factor to high STEM attrition is students adversely reacting to initial academic failure in challenging STEM educational contexts. However, there are a lack of studies that investigate the individual experiences of students who persist despite academic failure to better understand …

Systems Statistical Engineering – Hierarchical Fuzzy Constraint Propagation, Hengameh Fakhravar

Engineering Management & Systems Engineering Theses & Dissertations

Driven by the growing need in the 21st century for integrating rigorous statistical analysis into engineering research, there is a movement to develop an integrated statistical engineering science within statistics and quality communities (Hoerl & Snee, 2010; Anderson-Cook et al., 2012). Systems Statistical Engineering research seeks to integrate the Causal Bayesian hierarchical modeling (Pearl, 2009) and cybernetic control theory within Beer’s Viable System Model (1972, 1979, 1985) and the Complex Systems Governance framework (Keating, 2014; Keating & Katina, 2015, 2016) to produce multivariate systemic models for robust dynamic systems mission performance. Cotter & Quigley (2018) set forth the Bayesian systemic …

Complex System Governance And Cyber Operations, Willie Gernard Mccallister

Engineering Management & Systems Engineering Theses & Dissertations

This dissertation examines the potential integration of Complex System Governance (CSG) within cybersecurity, emphasizing the development of a reference model for Cybersecurity Infrastructures. Traditional strategies for securing digital environments have struggled to address the intricate and dynamic layers inherent in modern cybersecurity systems. The purpose of this research is to explore the applicability of CSG as a framework to assess cybersecurity infrastructure using a case study research design. The research addresses two key questions: (1) How can the CSG reference model be adapted to explore cybersecurity infrastructure? (2) What results from CSG based exploration of cybersecurity infrastructure through a case …