Digital Commons Network^™

A Survey Of Earable Technology: Trends, Tools, And The Road Ahead, Changshuo Hu, Qiang Yang, Yang Liu, Tobias Röddiger, Kayla-Jade Butkow, Mathias Ciliberto, Adam Luke Pullin, Jake Stuchbury-Wass, Mahbub Hassan, Cecilia Mascolo, Dong Ma

Research Collection School Of Computing and Information Systems

Earable devices, wearables positioned in or around the ear, are undergoing a rapid transformation from audio-centric accessories into multifunctional systems for interaction, contextual awareness, and health monitoring. This evolution is driven by commercial trends emphasizing sensor integration and by a surge of academic interest exploring novel sensing capabilities. Building on the foundation established by earlier surveys, this work presents a timely and comprehensive review of earable research published since 2022. We attempt to answer three core questions: (1) how has earable research evolved in recent years, (2) what enabling resources are now available, and (3) what opportunities remain for future …

Vehicle-Based Multi-Services For Future Smart Cities, Hao Sun, Jinhua Zhao, Hai Yang, Shenhao Wang, Hamsa Balakrishnan, Thomas W. Malone, Hai Wang

Research Collection School Of Computing and Information Systems

Vehicles are crucial for sustaining socioeconomic activity and improving quality of life in modern cities by offering diverse services. These include passenger mobility, goods delivery, information acquisition, and acting as mobile servers such as food trucks and mobile lockers. At the same time, they also contribute to traffic congestion and air pollution. This tension fosters the rise of urban resource-conserving and sustainable service solutions. In this article, we introduce the concept of “Vehicle-Based Multi-Services” (VeMuS), in which a single vehicle offers multiple services simultaneously. Drawing on practical use cases, we examine service classification and integration for vehicles and the potential …

Context Matters: Auditing Gender Bias In T2i Generation Through Risk-Tiered Use-Case Profiles, Jose Luis Luna Campoverde, Yankun Wu, Xiaofei Xie, Noa Garcia

Research Collection School Of Computing and Information Systems

Text-to-image (T2I) generative models are increasingly used to produce content for education, media, and public-facing communication, and are starting to be integrated into higher-impact pipelines. Since generated images tend to reinforce stereotypes, producing representational erasure via “default” depictions and shaping perceptions of who belongs in certain roles, a growing body of work has proposed metrics to quantify gender bias in T2I outputs. Yet existing evaluations remain fragmented. Metrics are often reported without a shared view of what they measure, what assumptions they entail, or how their results should be interpreted under different deployment contexts. This limits the usefulness of gender …

Rc-Nf: Robot-Conditioned Normalizing Flow For Real-Time Anomaly Detection In Robotic Manipulation, Shijie Zhou, Bin Zhu, Jiarui Yang, Xiangyu Zhao, Jingjing Chen, Yu-Gang Jiang

Research Collection School Of Computing and Information Systems

Recent advances in Vision-Language-Action (VLA) models have enabled robots to execute increasingly complex tasks. However, VLA models trained through imitation learning struggle to operate reliably in dynamic environments and often fail under Out-of-Distribution (OOD) conditions. To address this issue, we propose Robot-Conditioned Normalizing Flow(RC-NF), a real-time monitoring model for robotic anomaly detection and intervention that ensures the robot's state and the object's motion trajectory align with the task. RC-NF decouples the processing of task-aware robot and object states within the normalizing flow. It requires only positive samples for unsupervised training and calculates accurate robotic anomaly scores during inference through the …

Ai In Healthcare: Regulatory Guidelines And Judge-Made Negligence Principles For Ai Implementers, Gary K. Y. Chan

Research Collection Yong Pung How School Of Law

The use of artificial intelligence (AI) in healthcare may, notwithstanding its potential benefits, result in harm to patients from allegedly negligent acts or omissions by hospitals and medical doctors. In such circumstances, how should the principles in the tort of negligence (duty of care, breach, causation, remoteness of damage, and defences) respond to AI innovations in healthcare? In particular, how may the standard of care expected of hospitals and medical doctors be informed by regulatory guidelines? We refer to case law precedents and regulatory guidelines on the roles and responsibilities of doctors and hospitals as AI implementers. Importantly, they prompt …

International Advice, Mature Democracies And The Venice Commission, Maartje De Visser

Research Collection Yong Pung How School Of Law

The aim of this article is to explore the role and practice of constitutional advice-giving as it relates to mature democracies. More precisely, this article considers how the Venice Commission – the official advisory body for constitutional matters of the Council of Europe – exercises its mandate vis-à-vis such democracies through the delivery of country-specific Opinions, based on a close reading of all such Opinions rendered between 2002 and 2024. It examines the substantive focus of those Opinions, the way they engage with constitutional experiences elsewhere, as well as the tone of the assessment and the approach taken in formulating …

Cancer Workforce-A Global Crisis: A Lancet Oncology Commission, Hedvig Hricak, Zachary Ward, Fabio Moraes, Andrew Scott, Farouk Dako, Wilfred Ngwa, Cynthia Villarreal-Garza, May Abdel-Wahab, Stephen Avery, Miriam Mutebi

General Surgery, East Africa

No abstract provided.

On The Fractional Laplacian Type Operator, Maysam Abdulnaser Zain

Theses

In this thesis, we study analytical structures arising from Dunkl theory and their

applications to harmonic analysis and fractional Laplacian operators. Dunkl operators are differential–difference operators associated with finite reflection groups, providing a natural generalization of the classical Fourier analysis through the introduction of root systems and multiplicity functions. Within this framework, several classical transforms appear as special cases of the (k,a)-generalized Fourier transform. We study the generalized Fourier transform ��ₖ,ₐ, its kernel B_k,a (x,y), and the associated translation operator and convolution structures. Using these tools, we construct the corresponding heat …

Rethinking Us Evidence Law: Burdens Of Proof And The Effect Of Rebuttable Evidentiary Presumptions, Paul F. Rothstein, Ronald J. Coleman

Georgetown Law Faculty Publications and Other Works

This is the draft table of contents for a forthcoming book from Edward Elgar Publishing. It is posted here with permission of the publisher.

Environmental Repair In The Energy Transition, Martin Lockman

Faculty Publications

For nearly a century, American laws have required mines, oil and gas companies, and other potentially hazardous industries to restore land affected by their activities to a safe condition when they are done with it. These laws represent a grand bargain—they allow operators to make profitable but damaging use of land today in exchange for the promise of expensive remediation tomorrow. However, this bargain has proven hard to enforce. Dozens of “zombie” mines scar mountains in Kentucky. Unrecorded “orphaned” wells poison groundwater in Texas. Over the past century, these laws have become the center of a legal arms race. Fossil …

Detecting Cognitive Impairment Early In Hispanic And Black Older Adults: Community Voices From South Central Texas, Robin C. Hilsabeck, Stephanie Santiago-Mejias, Tara L. Fletcher, Shanae L. Rhodes, Gladys Maestre, Sudha Seshadri, Neela K. Patel, Fayron R. Epps

School of Medicine Publications

Background: Alzheimer disease and related dementias (ADRD) are more prevalent in Black and Hispanic older adults and are also more likely to be undetected and misdiagnosed. The purpose of this study was to engage with Black and Hispanic communities about interest in and support needed for memory screening.

Methods: Participants were recruited from established community partners of the South Texas Alzheimer's Disease Research Center to engagein a 90-minute listening session. The session was recorded with participants' permission, and a thematic analysis was conducted by 2 independent coders.

Results: Sixteen individuals (81% female, 88% Hispanic or Black) from various perspectives participated …

The Tyrannical Woman: The Collapse Of Idolized Feminine Sexuality In Blake’S Visions Of The Daughters Of Albion, Asha A. Lambson

Criterion: A Journal of Literary Criticism

One year before the publication of William Blake’s Visions of the Daughters of Albion, Mary Wollstonecraft, the mother of modern Western feminism, published A Vindications of the Rights of Woman. In her influential essay, she describes the concept of the tyrannical woman: a woman who, oppressed by reductive and stereotypical views of femininity, especially within the Madonna-whore complex, turns to forms of cunning and trickery to gain power over her environment. This paper explores Oothoon’s character in Blake’s Visions and how, over the course of the poem, she becomes a tyrannical woman. Oothoon, often praised by critics of Blake as …

Narrative Blindness: Gretta And The Limits Of Seeing In Joyce’S “The Dead”, Madison Reber

Criterion: A Journal of Literary Criticism

This essay examines narrative vision and its correlation with gender representation in James Joyce's “The Dead,” focusing mainly on how the narration renders Gretta both visible and unseen. The story is framed by the language of sight in which words such as eyes, watching, and looking repeatedly reveal how meaning is formed. Yet the narrative consistently restricts readers from seeing Gretta's interiority, reducing her to a mere reflection of Gabriel's consciousness, which leads Gretta to become an example of what Simone de Beauvoir theorizes as “the Other”. Scholars commenting on “The Dead” often note that Gretta's objectification comes from Gabriel's …

Brains And Hearts: Virginia Woolf’S Natural, Incomparable Care In Mrs. Dalloway, Olivia L. Landgraf

Criterion: A Journal of Literary Criticism

This paper offers an ecofeminist reading of Mrs. Dalloway that centers vulnerability as a unifying ethical concept through which Virginia Woolf interrogates care, selfhood, and the human relationship to the natural world. While existing scholarship has examined Woolf’s use of nature in relation to aging, loss, trauma, and sexuality, I argue that these themes are bound together by a shared condition of ontological vulnerability. Drawing on ecofeminist theory and care ethics, the paper contends that Woolf challenges inherited Cartesian dualisms that separate rationality from nature and mind from body, revealing how such separations distort ethical perception and impede care.

Through …

Assessment Of Information Literacy Instruction In Reference: Applying Vanscoy’S Conceptual And Procedural Framework In Practice, Vanessa Arce

Communications in Information Literacy

The instructional aspect of reference work has long been acknowledged, especially in academic libraries. The current RUSA guidelines include helping users develop information literacy as a goal of reference. In this context, investigating the presence and nature of information literacy instruction can be used to assess the quality of reference services. This study applied Amy VanScoy’s conceptual/procedural framework for point-of-need instruction to a sample of chat reference transcripts at Lehman College, City University of New York. One of the assessment’s goals was to determine the prevalence of instruction and type of knowledge addressed in reference interactions. Another goal was to …

"An Open Mind And A Critical Stance": A Content Analysis Of Information Literacy Integration Into A Course About Poverty And Discrimination, Ashley Shealy, C. Rebecca Oldham, Clay Oldham, Tara L. Griffith

Communications in Information Literacy

The ACRL Framework argues that infusing curriculum with information literacy concepts can improve students’ attitudes and abilities to navigate complex information landscapes. This paper describes how a librarian and a faculty member integrated an information literacy curriculum into an undergraduate upper-division course about poverty and discrimination. Curriculum efficacy was assessed through directed content analysis of student responses to open-ended questions about engaging with news and social media, forming opinions, and having conversations about controversial topics. Responses were analyzed using a coding scheme based on course objectives derived from Framework dispositions and knowledge practices. Results indicated that exposing students to an …

Research Matters: Problem-Setting: A Research Reflection Process, Merinda Kaye Hensley

Communications in Information Literacy

In this inaugural “Research Matters” column, Merinda Kaye Hensley introduces problem-setting as an intentional research reflection process inspired by instructional design. This three-pronged approach invites librarians to examine their research agendas by surfacing prior knowledge, identifying bottlenecks, and creating an assumptions inventory. By interrogating what we think we know and where we struggle in doing research related to information literacy, problem-setting reframes our research processes as a generative, inquiry-driven practice. Drawing on an example from her own research agenda, investigating undergraduate researchers’ understandings of the publication process, Hensley demonstrates how reflective problem-setting can unstick thinking, sharpen questions and energize scholarly …

Digital Commons Statistics For June 2026, Liberty University

Digital Commons Statistics

No abstract provided.

22 Chapel Master Tenant Llc V. Hilton

All Decisions

In this nonpayment proceeding, the court dismissed the petition upon finding the rent demand fatally defective. The rent demand cited a total dollar amount and directed tenant to an attached ledger containing non-rent charges — including a security deposit, move-in fee, monthly electric charges, late fees, and a lockout fee — reflecting a different amount than demanded. The demand impermissibly shifted to tenant the burden of calculating the rent actually owed and failed to enable tenant to formulate a defense. Predicate notices are not amendable.

On The Number Of Ways To Express A Set As A Union Of Individually Interesting Sets, Alison Watson

Master's Theses

In a dataset that contains what ought rightly to be several distinct datasets placed in juxtaposition with each other, grouping datapoints based on observed similarities can be done in many ways. Topological Data Analysis (TDA) is a field of math that seeks to impose geometric structure onto datasets, thereby translating problems in statistics to problems in geometry or topology. A common truism in this field is “Data has shape and shape has meaning.” In this thesis, we use combinatorial and categorical arguments to demonstrate some shortcomings of a TDA approach on a class of inverse problems inspired by marine wildlife …

50,000 Spectra And Counting: Preparing For A Roman Spectral Atlas, Maya Jordan Seagraves

Master's Theses

Slitless spectroscopy with the Hubble Space Telescope's Wide Field Camera 3 \linebreak (WFC3/IR) enables simultaneous spectral coverage of all sources in a field, but large-scale single-orientation datasets remain challenging to process. We developed a pipeline that automates HSTaXe spectral extraction across hundreds of Hubble Space Telescope observations, enabling efficient processing of 84 fields and producing over 50,000 spectra from three filters (F110W, F125W, and F160W) and two grisms (G102 and G141). This was achieved by creating a companion Python package, the Module for Infrared Label Analysis (MILA), that integrates data calibration, extraction, and visualization. To assess the scientific utility of …

Dot Product Engine Based Neuromorphic Hardware For Continuous-Time Biomedical Signal Classification, Sanjeev Srinivasan

Master's Theses

Accurate diagnosis of pathological conditions from biomedical signals, such as electrocardiograms (ECGs) is often performed offline, making it time-consuming, costly, and inefficient, especially when abnormal patterns are rare and long-term monitoring generates large amounts of data. To address this, this work proposes a compact, scalable, and programmable neuromorphic system designed for real-time preliminary arrhythmia detection and classification using ECG signals, that can be extended to other biomedical signals. The proposed design processes ECG signals using a delta modulation-based spike encoder, followed by classification with a dot-product engine (DPE) based spiking neural network (SNN) processor and winner-take-all (WTA) circuit. The architecture …

Development Of A Multi-Mode Switching-Inverter Laboratory Module For An Introductory Power Electronics Course, Darcy Eliasi

Master's Theses

DC–AC converters, or inverters, are essential power‑electronic interfaces widely used in photovoltaic systems, microgrids, energy‑storage installations, and numerous other modern electrical applications. This thesis presents the design, construction, and testing of an improved laboratory module developed as a student learning tool for demonstrating four fundamental inverter switching techniques: simple square wave (SSWI), modified square wave (MSWI), bipolar PWM, and unipolar PWM. Building upon the previous module, the improved design centers on three key enhancements. These include the selection of a more suitable wave‑generation solution, a multiplexer‑based mode‑selection architecture that reduces user complexity and eliminates conflicting signal configurations, and the integration …

Crab: A Novel Clustering Score Using Clustering With Rivals And Buddies For Unsupervised Learning, Allen Choi

Master's Theses

Unsupervised clustering algorithms today are used across a wide variety of fields such as biology, engineering, and industry in order to classify observations into groups where labels are not provided. This can provide important latent information regarding the observations within groups, as well as insight regarding the groups themselves. In order to judge the optimal number of clusters for an unsupervised clustering algorithm, many methods exist such as the Elbow Method and Silhouette Score; however, these methods come with drawbacks and are not necessarily flexible across many unsupervised methods. We present a novel clustering score framework relying on a resampling-based …

Optimization Of Repeat Ground Track Constellation Design For Complex Discontinuous Regional Coverage, Paige Jewell

Master's Theses

The continued growth of low Earth orbit (LEO) satellite constellations motivates efficient constellation design methods to reduce cost and complexity. Although brute-force methods are commonly employed in the preliminary design of satellite constellations, pairing analytic methods with optimization algorithms provides a more efficient means of searching the design space. Constellation design for continuous global and regional coverage is well-established; however, strategies for discontinuous regional coverage remain underdeveloped. This thesis focuses on an analytic geometry-based method for computing satellite coverage and revisit metrics, coupled with genetic algorithm optimization to efficiently explore the design space. The viability of this method is shown …

Integer Quantization And Embedded Deployment Of Cnn Star Trackers For Cubesats, Meora R. Giusiano

Master's Theses

A star tracker determines spacecraft orientation by photographing the star field, detecting stars in the image, matching them against a catalog, and computing the rotation between observed and cataloged directions. Convolutional neural networks (CNNs) have been proposed as replacements for the detection and centroiding stage, offering improved sub-pixel accuracy and recovering faint stars that classical thresholds lose to stray light and sensor noise. The improvement comes at higher computational cost; the PolySat systemboard targeted in this work lacks the floating-point hardware these networks assume.

This thesis closes the gap between floating-point desktop evaluation and embedded integer deployment. Nine encoder-decoder CNN …

Evaluation Of Solar Reflective Pigments For Use In Direct-To-Metal Coatings, William J. Diment

Master's Theses

Solar reflective coatings offer a promising strategy to mitigate the urban heat island effect by reducing absorption of near-infrared solar energy. This thesis project investigates the feasibility of incorporating near-infrared reflective pigments into waterborne direct-to-metal (DTM) latex coating systems while maintaining acceptable color comparison characteristics and coating performance. An all acrylic latex DTM formulation with titanium dioxide as the sole pigment was prepared and tinted with a variety of conventional and solar reflective commercial colorants across the yellow, red, blue, and green color ranges. Coatings were evaluated for solar reflectance, CIELAB color, gloss, contrast ratio, rheological behavior, accelerated ultraviolet weathering …

Contribution Of Slotted Web To The Cyclic Behavior Of Bare And Composite Beam-To-Hss Column Connections, Pablo Ulargui Ramos

Master's Theses

Slotted web connections produce consistent and meaningful improvements in the cyclic behavior of bare and composite beam-to-HSS column connections. Across the eight connections investigated in this thesis, the introduction of a slotted web increased rotational capacity by approximately 7% to 37% and increased cumulative energy dissipation at the strength-degradation limit by approximately 37% to 81%. These improvements were accompanied by only a small reduction in ultimate flexural resistance on the order of 3% to 8%, attributable to the loss of web cross-section at the slot and, for the more flexible H/t = 16 columns, to increased out-of-plane deformation of the …

On M-Estimation: From Theory To Examples, Alexander Yuan

Master's Theses

M-estimation provides a unified framework for statistical procedures defined as optimizers of data-dependent criterion functions. This thesis gives an expository account of M-estimation in classical and high-dimensional settings. The classical part develops weak convergence, empirical process tools, and the argmax framework for studying consistency, rates of convergence, and weak limits. Examples including least squares, maximum likelihood, robust location estimation, change-point estimation, and empirical risk minimization illustrate regular and non-regular asymptotic behavior.

The high-dimensional part studies regularized M-estimators, where the focus shifts to finite-sample error bounds and model selection guarantees. Topics include decomposable regularizers, restricted strong convexity, non-convex penalties, and sparsistency. …

Effects Of Hot Water Dipping And Sub-Zero Saline Chilling On The Microbial Safety Of Broiler Carcasses And Recycled Chilling Water, Elen Zhu

Master's Theses

Broiler meat became the most widely consumed meat within the United States and across the world in 2019. The trend of increasing broiler consumption is expected to continue due to affordability, health benefits, and production efficiency. To meet the growing demand of broilers, a substantial number of birds need to be produced and processed while minimizing bacteria contamination, water consumption and wastewater generation.

In this study, the microbial safety (mesophilic aerobic bacteria, coliforms, and Escherichia coli) of broiler carcasses and post-chill water (red water) was assessed, using innovative processing techniques and red water recycling. A total of 144 broilers …