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Articles 61 - 90 of 14894
Full-Text Articles in Entire DC Network
Improving Fairness On Semantic Segmentation Using Large Language Models, Samuel E. Burggraf
Improving Fairness On Semantic Segmentation Using Large Language Models, Samuel E. Burggraf
Electrical & Computer Engineering Projects for D. Eng. Degree
As machine learning systems are increasingly integrated into critical decision-making processes, ensuring fairness in their design and implementation has become a significant concern. While fairness research has primarily focused on specific protected attributes, less attention has been given to spatial fairness, which can affect individuals at specific locations. If fairness is not addressed, models may systematically underperform in certain regions or across populations which can lead to unequal access to accurate predictions and potentially biased decision-making. Fairness considerations should extend across all machine learning applications to align with the National Institute of Standards and Technology (NIST) guidelines of fair and …
From Invisible Injury To Measurable Impact: Exploring Associations Between Peripheral Biomarkers Of Neuroinflammation And Mental Health Outcomes After Mtbi, Lauren Leggett Smith
From Invisible Injury To Measurable Impact: Exploring Associations Between Peripheral Biomarkers Of Neuroinflammation And Mental Health Outcomes After Mtbi, Lauren Leggett Smith
Psychology Theses & Dissertations
Mild traumatic brain injury (mTBI), often referred to as a “silent epidemic,” accounts for the majority of traumatic brain injuries worldwide and is increasingly linked to persistent psychiatric outcomes. Despite its prevalence, mTBI remains understudied due to diagnostic challenges, underreporting, and misperceptions of its clinical significance. The present study examined whether peripheral biomarkers of neuroinflammation and astroglial injury—tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), and glial fibrillary acidic protein (GFAP)— mediate associations between mTBI history and psychiatric symptom severity, including depression, anxiety, and posttraumatic stress disorder (PTSD). Participants were 138 traumaexposed adults recruited from an urban university and surrounding community, with …
Temperature-Induced Uncertainty In Fixed-Context Retrieval-Augmented Generation, Steven Zeng, Murat Kuzlu
Temperature-Induced Uncertainty In Fixed-Context Retrieval-Augmented Generation, Steven Zeng, Murat Kuzlu
Cybersecurity Undergraduate Research Showcase
This study examines how decoding temperature affects output uncertainty in a fixed-context retrieval-augmented generation (RAG) system. We define uncertainty as the semantic dispersion among repeated answers under the same fixed retrieved context, with greater dispersion interpreted as higher uncertainty. To isolate this answer-generation variability from retrieval drift, each question was paired with a fixed retrieved context, and repeated generations differed only in temperature. The experiment used nine questions drawn from a machine-learning textbook corpus, with three questions each at easy, moderate, and hard difficulty. Each question was evaluated at five temperatures (0.0, 0.25, 0.5, 0.75, and 1.0) over 30 iterations, …
Phishing Restraint: University Simulated Phishing Campaigns, Alexander M. Abou Khir
Phishing Restraint: University Simulated Phishing Campaigns, Alexander M. Abou Khir
Cybersecurity Undergraduate Research Showcase
Universities face heightened vulnerability to phishing attacks due to their open information-sharing culture and diverse user populations. This study examines how phishing exploits human factors within campus environments and evaluates three major training strategies: embedded phishing, microlearning, and role-based instruction to understand their individual and combined effectiveness. I explored studies that implement these strategies in pairs and use the strategies alone, identified trends in susceptibility reduction, behavioral reinforcement, and contextual relevance. I suggest that, while each method independently improves user awareness, multiple approaches offer stronger, more adaptable protection by addressing both psychological triggers and role-specific risks. The paper contributes a …
Hijacking The Prompt: A Survey Of Prompt Injection Attacks, Detection, And Defense In Large Language Models, Edward J. Griggs
Hijacking The Prompt: A Survey Of Prompt Injection Attacks, Detection, And Defense In Large Language Models, Edward J. Griggs
Cybersecurity Undergraduate Research Showcase
Prompt injection attacks, ranked the number-one vulnerability in AI systems by OWASP's 2025 Top 10 for Large Language Model Applications, remain largely unsolved, and this survey examines why. As large language models (LLMs) are deployed across enterprise workflows, agentic systems, and consumer tools, their fundamental inability to distinguish trusted instructions from untrusted user data has created a persistent and expanding attack surface. This paper presents a structured taxonomy of prompt injection attack vectors, including direct injection, indirect injection, multimodal attacks, tool and agent exploitation, hybrid chained techniques, and autonomous propagating threats. These vectors are mapped across five impact categories (data …
Limitations Of Signature-Based Network Intrusion Detection Under Modern Traffic Conditions, Henry Guidry
Limitations Of Signature-Based Network Intrusion Detection Under Modern Traffic Conditions, Henry Guidry
Cybersecurity Undergraduate Research Showcase
Network Intrusion Detection Systems are tools used to monitor network traffic and alert to suspicious or harmful activity before it can cause harm. Signature-based versions of these systems are a foundation for intrusion detection, operating by finding common patterns and forming malicious signatures. However, three developments in modern network environments have greatly impacted the significance of Network Intrusion Detection Systems. These three developments are the near-complete adoption of end-to-end encryption, the use of sophisticated packet fragmentation techniques, and the processing demands of high-throughput networks. Encryption makes deep packet inspection practically infeasible by transforming inspectable payloads into ciphertext, forcing NIDS to …
Artificial Intelligence Moderation In Online Gaming: A Cybersecurity Analysis Of Risks And Defenses, Labib Khan
Artificial Intelligence Moderation In Online Gaming: A Cybersecurity Analysis Of Risks And Defenses, Labib Khan
Cybersecurity Undergraduate Research Showcase
This research paper will examine the role of artificial intelligence (AI) moderation systems in enhancing cybersecurity within online gaming environments. As multiplayer platforms increasingly rely on real-time text, voice communication, and user-generated content, developers have implemented AI-driven tools such as natural language processing (NLP), speech recognition, and behavioral analytics to detect harassment, toxic behavior, cheating coordination, and other malicious activity. These systems enable gaming companies to efficiently monitor large volumes of player interactions, improving response times and helping maintain safer and more controlled digital environments for users across global gaming communities of varying sizes and activity levels.
While these technologies …
Ai's Double Edged Sword: Fighting Against Synthetic Csam, Shekhinah Adra Green
Ai's Double Edged Sword: Fighting Against Synthetic Csam, Shekhinah Adra Green
Cybersecurity Undergraduate Research Showcase
The rapid advancements in generative artificial intelligence has introduced new challenges in the production and distribution of synthetic child sexual abuse material (CSAM). AI has the capabilities of creating highly realistic imagery and videos, which raises serious legal and ethical concerns, increasing the risk of harm, exploitation, and revictimization.
This paper discusses the legal improvements needed in order to lower the change of legal loopholes, how digital forensic analyst use advanced tools to identify and investigate synthetic material, and different methods to start the reduction of synthetic CSAM.
Escaping Isolation: An Analysis Of Virtual Machine And Container Breakout Vulnerabilities, Felix Iov
Escaping Isolation: An Analysis Of Virtual Machine And Container Breakout Vulnerabilities, Felix Iov
Cybersecurity Undergraduate Research Showcase
Cloud computing providers rely on multi-tenant architectures to maximize resource efficiency. This infrastructure depends on virtualization, which provides isolation between clients. This comes primarily in the form of Virtual Machines (VMs) and Containers. However, “breakout attacks” or “escapes” are a critical threat where attackers bypass these isolation layers to gain unauthorized access to the host system and neighboring environments. This paper surveys virtualization escape threats and analyzes three case studies: a runc container escape (Leaky Vessels), a VMware ESXi VM escape (VSOCKPuppet), and an NVIDIA GPU container escape (NVIDIAScape). Each demonstrates different attack surfaces, including file descriptor misuse, kernel driver …
Bio-Cybersecurity: Securing The Healthcare Industry, Amanda D. Coleman
Bio-Cybersecurity: Securing The Healthcare Industry, Amanda D. Coleman
Cybersecurity Undergraduate Research Showcase
Bio-cybersecurity refers to the aspect of cybersecurity that applies to the biological sciences and the protection of digital biomedical information. Today’s healthcare industry has evolved with the enhancement of internet and biomedical technology. While hospitals and private medical providers remain compliant with the Health Information Portability and Accountability Act (HIPAA) through traditional means of securing documented patient information, the emergence of beneficial internet-based healthcare services like virtual appointments and digital patient records requires new policies and healthcare cybersecurity frameworks to protect sensitive information from unauthorized access. This paper examines the role of cybersecurity in healthcare, the vulnerabilities that exist and …
Security Risks Of Ai-Generated Code In Software Development, Maame Agyekum
Security Risks Of Ai-Generated Code In Software Development, Maame Agyekum
Cybersecurity Undergraduate Research Showcase
Artificial Intelligence(AI) has recently forced change globally, public Institutions and as well as national security. Advancement in machine learning, mixed datasets have enabled significantly powerful systems while being capable of operating at a large scale. As innovation and technological advancement increases at rapid pace, issues like a regulation gap where scientific development far exceeds the government’s ability to regulate and establish an effective oversight. As a result, Artificial Intelligence has been controlled by private companies, leading to an industry where speed and profit often outweigh safety and ethical responsibility.
Enhancing Urban Garden Capacity By Linking Biodiversity And Ecosystem Function, Mary T. Nguyen, Carleen Rauh, Shelby Gresch, Charlotte Correiro, Heidi Elmendorf, Adriane Fugh-Berman, Gina Wimp, Alexandra L. Decandia
Enhancing Urban Garden Capacity By Linking Biodiversity And Ecosystem Function, Mary T. Nguyen, Carleen Rauh, Shelby Gresch, Charlotte Correiro, Heidi Elmendorf, Adriane Fugh-Berman, Gina Wimp, Alexandra L. Decandia
Virginia Journal of Science
Urban agriculture broadly describes food and plant cultivation in metropolitan areas. While biodiversity is thought to support ecosystem health and resilience, the relationship between above-ground and below-ground diversity has been understudied in urban green spaces. This study examines plant, animal, bacterial, and fungal diversity across three distinct urban habitats: a turf lawn, a forb garden, and a farming space. Using bacterial 16S rRNA and fungal ITS2 sequencing, soil nutrient analyses, and surveys of vegetation and wildlife, we connect diverse philosophies in urban agriculture to their role in advancing community diversity and ecosystem function. We found that different urban gardens support …
Delenda Est Norfolk: The Tidewater Revolts!, Kiera Dillman, Alise Dunham, Kristen Gary, Olivia M. Haris, Nelliel A. Herrera, Logan Holzgrefe, R. J. Lynch, Adam M. Manis, David Mogan, Luke Pickard, Shayla M. Shaw, Landon Swain, Kenny Wilcox, Bailey M. Wimberly, Tracy L. Barnett
Delenda Est Norfolk: The Tidewater Revolts!, Kiera Dillman, Alise Dunham, Kristen Gary, Olivia M. Haris, Nelliel A. Herrera, Logan Holzgrefe, R. J. Lynch, Adam M. Manis, David Mogan, Luke Pickard, Shayla M. Shaw, Landon Swain, Kenny Wilcox, Bailey M. Wimberly, Tracy L. Barnett
Student Projects
Introduction to the Exhibit:
Today—exactly 250 years after the signing of the Declaration of Independence—many Americans trace the origins of the nation’s revolutionary sentiment to Boston, Massachusetts or Philadelphia, Pennsylvania. We remember the violence of March 1770, when red-coated British soldiers fired into a crowded Boston street, massacring innocent colonists and igniting outrage. We recall the patriotic defiance of the Sons of Liberty, who boarded three East India Company ships and dumped chests of imported British tea into the Boston Harbor in December 1773. We can still hear, too, the reverberations of the “shot heard ’round the world,” when British …
Spring 2026 Odu Libraries Newsletter, Alex Aycock, Alisa Faumore, Jennifer Hoyt, William Shingler
Spring 2026 Odu Libraries Newsletter, Alex Aycock, Alisa Faumore, Jennifer Hoyt, William Shingler
Libraries Newsletters
Spring 2026 ODU Libraries Newsletter.
Enhancing Nasa Sounding Rocket Capabilities Through Composite Material Adoption, Robert Burth
Enhancing Nasa Sounding Rocket Capabilities Through Composite Material Adoption, Robert Burth
Mechanical & Aerospace Engineering Theses & Dissertations
Sounding rockets are a suborbital research platform employed by NASA for heliophysics, astrophysics, geospace science investigations, and for technology development. They follow semi-parabolic trajectories and are launched using surplus military, and commercial, solid-propellant rocket motors. NASA sounding rocket payloads are comprised of standard, modular subassemblies, designed to perform specific functions critical to achieving specific mission success criteria.
Since the program’s inception, payload length and mass have trended upwards, limiting the capability of the platform to reach exospheric apogees and decreasing the time above critical altitudes to observe solar and celestial targets. To offset this trend, composite materials may be of …
Program: Virginia Academy Of Science 104th Annual Meeting, 2026, Virginia Academy Of Science
Program: Virginia Academy Of Science 104th Annual Meeting, 2026, Virginia Academy Of Science
Virginia Journal of Science
Full program of the 104th Annual Meeting of the Virginia Academy of Science. Held at Christopher Newport University, Newport News, Virginia on May 28, 2026.
Proceedings Of The 104th Annual Virginia Academy Of Science Meeting, 2026, Virginia Academy Of Science
Proceedings Of The 104th Annual Virginia Academy Of Science Meeting, 2026, Virginia Academy Of Science
Virginia Journal of Science
Proceedings (abstracts) of the 104th Annual Meeting of the Virginia Academy of Science, May 28, 2026, at Christopher Newport University, in Newport News, Virginia.
The Psychology Behind Ai-Generated Phishing And Social Engineering Attacks, A’Shya Reynolds
The Psychology Behind Ai-Generated Phishing And Social Engineering Attacks, A’Shya Reynolds
School of Cybersecurity Master's Level Projects and Papers
Cybercrime has evolved significantly with the integration of artificial intelligence (AI), transforming traditional phishing and social engineering attacks into highly sophisticated and personalized threats. While early phishing attempts relied on generic messaging and low success rates, modern AI-driven attacks leverage advanced data analytics, natural language processing, and behavioral prediction to manipulate victims more effectively.
This research examines how cybercriminals utilize AI to enhance psychological manipulation techniques in phishing and social engineering attacks, increasing victim susceptibility. Drawing from interdisciplinary literature in cybersecurity and psychology, this study explores key psychological mechanisms, including cognitive biases, emotional triggers, and decision-making processes that influence victim …
The Lived Experiences Of Master's Level Counselors In Professional Counseling Association Leadership, Catalina R. Kraft
The Lived Experiences Of Master's Level Counselors In Professional Counseling Association Leadership, Catalina R. Kraft
Counseling & Human Services Theses & Dissertations
Leadership and advocacy are essential for all counselors (Lewis, 2022; McKibben, 2016; Paradise et al., 2010; Sweeney, 2022). However, within research and professional counseling associations, there appears to be a bias in which counselor educators are the expected, default leaders within the counseling profession (Burns, 2015; Kleist, 2018; Speciale & Goodrich, 2020). While counselor educators may have experience as counselors, they primarily work in academia, so their experiences do not authentically represent the needs of professional counselors. Counseling leaders need to represent and understand the people they serve: counselors. Therefore, this study sought to understand the lived experiences of master’s …
Assessing Shifts In Leadership Language: A Comparative Study Of The Aacc Competencies For Community College Leaders, Bethany A. Siehr
Assessing Shifts In Leadership Language: A Comparative Study Of The Aacc Competencies For Community College Leaders, Bethany A. Siehr
Educational Leadership & Workforce Development Theses & Dissertations
Leadership competency frameworks are widely used in community colleges to guide hiring, professional development, and succession planning. However, little is known about how leadership expectations evolve within these frameworks over time or how revisions reflect shifts in what the field values as legitimate leadership preparation. This study examined longitudinal change in the American Association of Community Colleges (AACC) Competencies for Community College Leaders across four editions published in 2005, 2013, 2018, and 2022.
Using a structured comparative document analysis, the study applied an extraction grid, a modification classification framework, and the Semantic Aspect Scale to identify additions, deletions, augmentations, separations, …
Perceptions Of The Community Eligibility Provision (Cep) Program, Angela H. Napier
Perceptions Of The Community Eligibility Provision (Cep) Program, Angela H. Napier
Educational Leadership & Workforce Development Theses & Dissertations
This study examined how educators and families perceive and experience the Community Eligibility Provision (CEP) and its influence on student attendance, engagement, well-being, and school climate within one public school division. While prior research has established quantitative links between universal meal programs and academic outcomes, limited research has explored how stakeholders interpret and experience these effects in practice. Addressing this gap, this study employed a convergent mixed-methods design, integrating archival attendance data, surveys, and semi-structured interviews with principals, assistant principals, teachers and families. Quantitative findings revealed modest but inconsistent changes in absenteeism following the CEP implementation, while qualitative findings provided …
"On The Same Rope": An Exploratory Study Of Staff Experiences At The Mountain Seed Foundation's Healing Base Camp Program, Jill C. Kivikoski
"On The Same Rope": An Exploratory Study Of Staff Experiences At The Mountain Seed Foundation's Healing Base Camp Program, Jill C. Kivikoski
Counseling & Human Services Theses & Dissertations
Since the escalation of Russia’s invasion of Ukraine in 2022, Ukrainians have faced significant social and public health challenges, particularly among Service Members, Veterans, and their Families (SMVF), including disability, traumatic stress, and barriers to mental health care (Kostenko et al., 2024; Krasnodemska et al., 2023; O’Grady & Galouchka, 2023). Retreat based programs grounded in shared military identity may offer an accessible form of support (Barrett & Currin, 2024). Mountain Seed Foundation’s (MSF) Healing Base Camp (HBC) was developed to promote healing and resilience among Ukrainian SMVF (Mountain Seed Foundation, n.d.).
This qualitative dissertation used a single-case study design (Yin, …
Paraeducators' Implementation Fidelity Of Functional Communication Training Following An Intervention Package Of Behavior Skills Training And ECoaching, Autumn M. Alexander
Paraeducators' Implementation Fidelity Of Functional Communication Training Following An Intervention Package Of Behavior Skills Training And ECoaching, Autumn M. Alexander
Human Movement Studies & Special Education Theses & Dissertations
My first purpose of this study was to determine if an intervention package of Behavior Skills Training (BST) and eCoaching was effective in increasing and maintaining paraeducator implementation fidelity when implementing Functional Communication Training (FCT) with students with multiple disabilities. Second, I sought to measure the effectiveness of FCT on three students’ challenging behavior and a functional communicative response (FCR). Third, I collected information from paraeducators and teachers about the perceptions of the training methods and FCT for practical usage in the classroom. I used a multiple-probe research design across three paraeducator and student dyads and demonstrated that the intervention …
Considering Special Education Program Performance Analysis And Teacher And Student Involvement In Transition Planning: A Delphi Study To Prioritize Student Interests, Strengths, And Transition Assessment, Charles S. Thull
STEMPS Theses & Dissertations
Individualized education program (IEP) transition plans are required to be based on student interests and strengths, and use age-appropriate transition assessments, yet limited guidance exists on how to prioritize these elements. Despite decades of transition planning research and policy development, students with disabilities continue to experience poor postsecondary transition outcomes, special education teachers report limited readiness to support transition planning, university special education programs lack transition focused coursework, and transition plans are created for compliance and lack transition assessment information. Considering these concerns, this study used a modified Delphi method, informed by Human Performance Technology (HPT) and Ecological Systems Theory …
Electromyography, Prosthetic Properties, And Running Biomechanics In Recreationally Active Persons With Lower Extremity Amputation, Paige M. Agnew
Electromyography, Prosthetic Properties, And Running Biomechanics In Recreationally Active Persons With Lower Extremity Amputation, Paige M. Agnew
Rehabilitation Sciences Theses & Dissertations
Lower extremity loss affects nearly 150,000 individuals in the United States yearly yielding extreme health care costs annually. Typically, prosthetic devices are prescribed for 5-8 years despite known changes to an individual’s gait as time progresses. Patients can expect to undergo approximately 8-12 weeks of gait retraining to improve their comfort and efficiency. Biomechanical changes occur when running with a specific running prosthetic including considerable biomechanical and neuromuscular interlimb asymmetries and alterations in loading patterns. The purpose of this dissertation was to investigate the biomechanical demands for lower extremity prosthesis users during running. The first study synthesized peer reviewed evidence …
Objectification And Discrimination Among Bi+ Women: Body Image Outcomes And The Moderating Role Of Relationship Type And Partner Gender, Kaitlyn E. Ryan
Objectification And Discrimination Among Bi+ Women: Body Image Outcomes And The Moderating Role Of Relationship Type And Partner Gender, Kaitlyn E. Ryan
Psychology Theses & Dissertations
Objectification theory posits that being sexually objectified by others leads to a greater likelihood of engaging in body surveillance behaviors, which in turn is associated with higher body shame (Fredrickson & Roberts, 1997). Prior research has identified both objectification and anti-bisexual discrimination as significant predictors of body surveillance and body shame among bi+ women (i.e., bisexual, pansexual, queer) (Brewster et al., 2014; Salim et al., 2024). No studies, however, have considered the unique experiences of romantically partnered bi+ women, including the potential moderating effects of partner gender and relationship type. The present study examined whether romantic relationships are protective for …
Microstructural And Thermal Studies Of Niobium On Copper Fabricated By Sputtering And Multicharged Ion Deposition, Md Obidul Islam
Microstructural And Thermal Studies Of Niobium On Copper Fabricated By Sputtering And Multicharged Ion Deposition, Md Obidul Islam
Electrical & Computer Engineering Theses & Dissertations
Niobium-coated copper (Nb/Cu) superconducting radiofrequency (SRF) cavities are a promising alternative to bulk niobium cavities for next-generation particle accelerators due to their reduced material cost and superior thermal conductivity of the copper substrate. However, cavity performance is fundamentally limited by the microstructural quality of sputtered Nb films and thermal transport across the Nb/Cu interface. Reduced thermal diffusivity in thin films and high interfacial thermal resistance contribute to localized heating and performance degradation under high RF fields. This dissertation addresses these challenges through a combined experimental and methodological investigation of thermal transport in Nb thin films, focusing on interface engineering using …
The Role Of Autonomy And Motivation On Teacher Retention: A Mixed Methods Study, Jordan Overton
The Role Of Autonomy And Motivation On Teacher Retention: A Mixed Methods Study, Jordan Overton
STEMPS Theses & Dissertations
Teacher retention remains a persistent concern in the United States, with nearly 13% of classrooms unfilled by licensed teachers. Grounded in self-determination theory and basic psychological needs theory, this mixed methods sequential explanatory study examined the relationship between teacher autonomy, motivation, and intentions to leave, while also exploring the contextual factors that shaped teachers’ perceptions of autonomy within their work environments.
In the quantitative phase, survey data were collected from 123 elementary and middle school teachers across three school divisions in Southeastern Virginia. Measures included teacher autonomy, work motivation, and intentions to leave one’s school or division and the teaching …
Fabrication Of Flexible Laser-Induced Graphene-Based Non-Enzymatic Glucose Sensor For Diabetes Management, Reagan Aviha
Fabrication Of Flexible Laser-Induced Graphene-Based Non-Enzymatic Glucose Sensor For Diabetes Management, Reagan Aviha
Electrical & Computer Engineering Theses & Dissertations
This research focuses on developing a flexible non-enzymatic glucose sensor to address the issues of cost, stability, and limited sensitivity associated with enzymatic glucose sensors. Regular monitoring of glucose levels is required to manage the global health challenge of diabetes. The sensor is built on a cost-effective, durable, flexible, conductive, and high-surface-area substrate acting as a scaffold for modification with easily tunable and electroactive species to enhance glucose detection. The electroactive materials used are zinc oxide (ZnO), palladium (Pd) and platinum (Pt). Laser-induced graphene (LIG) is created by laser engraving. ZnO, Pd and Pt are electrochemically deposited and optimized based …
Optimization Of Niobium Film For Particle Accelerators And Quantum Applications, Bektur Abdisatarov
Optimization Of Niobium Film For Particle Accelerators And Quantum Applications, Bektur Abdisatarov
Electrical & Computer Engineering Theses & Dissertations
Niobium (Nb) films play a central role in superconducting technologies used in particle accelerators and superconducting quantum circuits. Optimizing the physical properties of Nb films is therefore critical for improving both radiofrequency (RF) performance in superconducting radiofrequency (SRF) cavities and coherence in superconducting qubits. This thesis investigates the relationship between Nb film microstructure, impurity content, and electromagnetic response across these two application domains.
For particle accelerator applications, we studied Nb films deposited using high-power impulse magnetron sputtering (HiPIMS) with DC bias onto a 1.3 GHz elliptical SRF cavity. Nb film cavities exhibit a pronounced medium-field Q-slope, limiting their achievable accelerating …