Digital Commons Network^™

How Do Peer Support Officers Perceive Support Provided To Officers Involved In Critical Incidents, Jodi Vanderwier

Walden Dissertations and Doctoral Studies

No abstract provided.

Protecting Bearded Seals In Alaska: The Esa, Critical Habitat Designations, And Climate Change, Caitlyn Leary

Alaska Law Review

Rapid climate change in the Arctic has accelerated the loss of sea ice, threatening the survival of one of Alaska's most vital species: the bearded seal. In 2012, the National Marine Fisheries Service (NMFS) listed the bearded seal as "threatened" under the Endangered Species Act (ESA). Ten years later, the agency designated approximately 174 million acres of occupied critical habitat for the seals on the northern coast of Alaska, along the Bering, Chukchi, and Beaufort Seas. NMFS reasoned that a large designation was necessary to account for the dynamic and seasonal nature of sea ice. In 2024, however, the U.S. …

The Relationships Between Adult Cyberbullying Victimization, Introversion, Extroversion, And Demographic Variables, Amber Paige Arrington

Walden Dissertations and Doctoral Studies

No abstract provided.

Targeting Inflammatory And Growth Signaling Pathways In Breast Cancer Through Diet, Microbiome, And Metabolite Interactions, Brittany Lorraine Witt

ETDs from 2020-2029

Breast cancer (BC) accounts for 1 in 3 (or 30%) of all new female cancers each year and is the most common malignant cancer in women in the United States. Since the 1990s, there has been a 44% decrease in BC, but there is still a significant gap between certain groups in terms of mortality rates. Black women have a higher mortality rate and risk for triple-negative breast cancer (TNBC). This may be due to social (inadequate access to health care facilities, insurance, or completion of therapy) and biological (genetic mutations, tumor characteristics, or comorbidity) factors between races and other …

Multispecies Mutualistic Resilience: Riverine Lifeworlds Along The Irrawaddy River, Phyo Su San, Maya Kóvskaya

Forest and Society

This article advances the concept of multispecies mutualistic resilience to analyze how human and more-than-human communities in Myanmar's Irrawaddy Delta navigate ecological rupture under conditions of extractive infrastructure and climate crisis. Drawing on ethnographic research in the Ywar Thit village tract, including life-story and semi-structured interviews, digital ethnography, and analysis of vernacular cultural texts, we examine how deltaic communities attune to kaing grasses (Saccharum spontaneum) as land-making agents and vernacular indexical signs of alluvial transformation, and the Irrawaddy River as a living semiosic and material force. Rather than treating resilience as a return to prior equilibrium or as …

Sleepfocus – The Attributes And Application, Austin Kim, Erik Keifer, Isaac Amedie

Computer Science and Engineering Senior Theses

Insufficient sleep is a widespread public health concern, yet many consumer sleep tools still emphasize retrospective dashboards over personalized, actionable guidance. Platforms such as Apple Health, Fitbit, Whoop, and Oura collect detailed biometric and sleep data, but users are often left to interpret trends and decide what to change on their own.

SleepFocus was built to address that gap by turning wearable sleep data into clearer feedback, personalized recommendations, and healthier sleep routines. SleepFocus is a native iOS application that integrates with Apple HealthKit to collect sleep-stage data and biometric streams such as heart rate, heart rate variability, respiratory rate, …

Gc–Ms And Tlc Evaluation Of Solvent Stability In Amphetamine-Type Stimulant Analysis, Catherine M. Lorisme

Biochemistry and Molecular Biology

No abstract provided.

Multiscale Optical Imaging: From Single-Molecule Dynamics To Tissue-Scale Mechanics, Weiyan Zhou

McKelvey School of Engineering Graduate Student Theses & Dissertations

Biological systems exhibit hierarchical organization spanning molecular to tissue scales. Molecular orientation and supramolecular packing define nanoscale architecture, while collective organization of these constituents contributes to emergent mechanical and dynamical behavior at the tissue level. Although optical imaging provides access to both regimes, modalities are typically optimized for a single scale and often emphasize qualitative visualization rather than quantitative measurement. Establishing rigorous frameworks for extracting physical parameters from optical signals and articulating conceptual continuity across scales remains a central challenge. This dissertation advances optical imaging as a quantitative measurement technology through the development of complementary approaches at the nanoscale and …

How Carter Will Found His Future At Fhsu, June 04, 2026, Tisa Mason Ed.D.

Heart of a Tiger Columns

No abstract provided.

Global Burden Of Drug-Resistant Tuberculosis In Children: A Systematic Analysis For The Global Burden Of Disease Study, Xuhui Liu, Peierdun Mijiti, Lu Xia, Sylvia M Lacourse, Wulan Talafuhan, Alexander W Kay, Yang Yang, Huarui Liu, Dan Ye, Leonardo Martinez, Shuihua Lu, Adong Shen, Anna M Mandalakas, Feng Li, Christoph Lange, Zhen Huang

Faculty, Staff and Students Publications

Background: Paediatric tuberculosis (TB), particularly drug-resistant TB (DR-TB), is associated with significant mortality. However, the global burden of childhood TB remains poorly understood.

Methods: We analysed incident cases, deaths, and age-standardised incidence and mortality rates among children (0-14 years) with multidrug-resistant/rifampicin-resistant tuberculosis (MDR/RR-TB) and extensively drug-resistant tuberculosis (XDR-TB) using the Global Burden of Disease (GBD) 2021 database. Data were stratified by age, sex, region, country, and HIV/AIDS status. Annual and average annual percentage changes were assessed using joinpoint regression analysis. Secondary analyses compared adult and paediatric TB trends in the End TB era and evaluated the potential impact of the …

Revisiting Representation Learning For Natural Language Processing From The Fundamentals For Misinformation Detection, Vishnu S. Pendyala

Faculty Research, Scholarly, and Creative Activity

While existing language embeddings achieve high accuracy on benchmark tasks, recent studies suggest they often struggle to distinguish true from false statements. This work argues that new representation learning and aggregation strategies are needed, especially those that adapt to misinformation's evolving patterns and incorporate explainability. As a first step, we explore two directions: (1) aggregation strategies inspired by signal processing, where word embeddings are transformed into spectrogram-like representations for classification to overcome context window limitations, and (2) future extensions using dynamic neural architectures such as Neural ODEs, Liquid Time-Constant Networks (LTCs), Kolmogorov-Arnold Networks (KANs), and Legendre Memory Units (LMUs). Preliminary …

Hypertensive Disorders Of Pregnancy, Covid And Readmission Status, Margaret Luebke, Ross Bindler, Trisha Saul, Linda Trinh

Publications 2026-present

No abstract provided.

Employment Opportunities As Halal Entrepreneur For Halal Science Graduates: Unissa As Model, Nurdeng Deuraseh, Siti Nora’Aini Pg Sufredin

Nusantara Halal Journal

The high unemployment rate among graduates is not a new issue. This issue is of concern in many countries including Brunei Darussalam. Brunei’s Government could not accommodate all the unemployed graduates with governmental job, therefore, as a brilliant and creative graduates, they need to be independent and creative to create job opportunities. So, one of the measures to reduce this problem is by the introduction of Entrepreneurship. The concept of entrepreneurship is not something new in Islam as it can be observed from the history as a noble profession practiced by the Prophet Muhammad and His companions. However, in recent …

The Role Of Robot Aesthetics In User Acceptance: Examining Anthropomorphism, Color, And Form In Smart Home Environments, Aya M. Abd-El Gawad Mahmoud Gouda, Salwa A. El Garib, Hany M. El-Said

Journal of Art, Design and Music

This study examines how the aesthetic features of domestic robots—such as shape, color, proportions, and materials—impact user acceptance in smart home environments. A quantitative survey with 80 participants of varying ages and genders assessed emotional responses including comfort, trust, and connection with different robot designs. Results showed that robots with moderately human-like and friendly appearances generated more positive emotional reactions, suggesting a balance between aesthetics and functionality is essential. Key design elements enhancing attractiveness and usability were identified, offering practical guidelines for robot design. This research contributes to Human-Robot Interaction by integrating emotional, functional, and aesthetic factors, emphasizing the unique …

Utilizing Deep Learning To Generate Biomorphic Furniture Design: A Generative Approach, Asmaa Medhat Abd El Aziz Mostafa, Doaa Abdelrahman Mohamed Goda, Dalia Mohamed Ezzat

Journal of Art, Design and Music

This research paper highlights the relatively unexplored potential of deep learning, a branch of artificial intelligence, to radically transform design in general, and specifically in the field of furniture design, by creating new design concepts inspired by living organisms such as marine biology. The main objective of this research is to explore the role of deep learning and artificial intelligence as tools for generating innovative and novel furniture designs inspired by marine organisms (marine biology). The research followed experimental methodology through a prompt engineering-based protocol, using ChatGPT-4 to produce an optimized prompt to be subsequently used on the (Prome AI) …

Called To Accuracy, Brick By Brick: Recordkeeping And Reporting Amid Cultural Pressures And Training Gaps, Amber L. Wilson, Sarah J. Boettger, Janet K. Brown, Kjell Fenn, Jessica E. Kuehne, David L. Ream

Journal for the Scholarship of Teaching & Learning

This research investigates how faculty at Christian higher education interpret the impact of expected recordkeeping and reporting. The purpose of this study is to explore the perceptions and expectations of recordkeeping and reporting that impact job satisfaction. By examining recordkeeping and reporting and the influence of culture as key factors affecting job satisfaction in Christian higher education, insights were gathered through six faculty member interviews. The data were collected through semi-structured interviews, journals, and discussion board posts. This transcendental phenomenological study sought to explore the lived experiences of six faculty members at a large private Christian university in the southeastern …

Pre-Conference Workshop 2: Toward A Shared Understanding Of Data Use: Bringing The Data Usage Typology Into Practice, Evgeny Bobrov, Scott Edmunds

FORCE 2026

As open data becomes an increasingly key practice in research, understanding how data are used is becoming essential to inform data policies and facilitate inclusion of data in research assessment. Different groups have started categorizing uses for their own purposes, but the community lacked consensus on how to conceptualize the types of uses of datasets. This hinders comparison of reports on the uses of data, and their transferability into evaluation processes. The FORCE11 Data Usage Typologies Working Group is creating a community-led typology to capture the diverse ways in which datasets are (re)used, and to enable a shared understanding of …

Soft Robotics And Sensor-Embedded Inferior Vena Cava Simulator, Robert Herbert, Julio Zuazola, Anish Maharjan, Tatum Dixon, Landon Hyder, Lily Nguyen

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Binary Genetic Algorithm-Based Pid Gain Optimization For An Integrated-Finger Robotic Hand, Eric Mountain, Minghui Zheng, Souma Chowdhury

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Identifiability, Observability, Parameter Reduction, And State Estimation For Nonsmooth Dynamical Systems, Hesham Abdelfattah, Peter Stechlinski, Sameh Eisa

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

The General Polyak-Lojasiewicz Inequality And Its Connection To Neural Network Training, Arthur Castello B. De Oliveira, Eduardo Sontag

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Towards Adaptive Driver Training: Online Estimation Of Dual-Task Performance Model Parameters, Aleksandra Dudek, Patrick Linford, Zihan Yu, Scott James, Matthew Castanier, Chris Vermillion, Kira Barton

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Robust Mpc Design For Leaky-Integrator Echo State Networks, Hao Deng, Cristina Stoica, Daniel Ossmann, Mohammed Chadli

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Control Of Four-Link Planar Hopping Locomotion, Amer Allafi, Aakash Khandelwal, Ranjan Mukherjee

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Co-Design And Optimal Control Of A 2d Tendon-Driven Continuum Leg For Fast And Energy-Efficient Motion, Setayesh Yavari, Faith O. Olawoyin, David A. Emerson, Hunter B. Gilbert

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Methodology For Executing Optimal Nonlinear Trajectories On Resource-Constrained Hardware, Juraj Lieskovský, Nyi Nyi Aung, Karan Baker, Adrian Stein, Jaroslav Busek

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Markerless Estimation Of Ground Reaction Forces From Video For Biomechanical Assessment In Orthotics And Prosthetics, Ricki M. Pierce, Hunter Gilbert, Hyun Kim

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Anticipatory Exoskeleton Control In Low-Illumination Via Multi-Stream Spatial-Temporal Graph Convolutional Networks, Maryam Soleymani, Mahdi Bonyani, Chao Wang Phd

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Impedance Addition As A Control Primitive Unifying Kinematic And Kinetic Behavior, Hunter B. Gilbert

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Caldwell Outbreak‑Resilience Engineering System (Cores V1.0) Unified Builder‑Ready Architecture For Isolation, Air‑Handling, Waste‑Neutralization, Environmental Sensing, And Non‑Invasive Triage Support Cern‑Ohl‑P V2.0, Michael Victor Caldwell Mr.

Defensive Publications Series

CORES v1.0 is an open‑hardware, engineering‑only outbreak‑resilience system designed for rapid construction, testing, and field evaluation. It integrates: a hardened isolation micro‑habitat with pressure‑cascade air handling; a vortex‑induction air curtain; a multi‑stage filtration and decontamination stack; a sealed waste‑neutralization pathway; a distributed aerosol‑sentinel mesh; and a non‑invasive triage‑support module. All modules are physics‑based, non‑biological, and safe for engineering research. No biological manipulation, culturing, or pathogen‑handling instructions are included. All components use standard materials and fabrication methods accessible to typical engineering labs. This document includes: full build descriptions, text‑only schematics, blueprint‑style geometry, test procedures, failure‑mode analysis, and projected engineering performance.