Digital Commons Network^™

Ambulatory Care Sensitive Conditions And Alzheimer’S Discharge In Georgia's Older Population, Anjana Kalathimekkattu, Gulzar H. Shah

Eagles Talking About the Public’s Health

No abstract provided.

2025 Fall Commencement, Georgia Southern University

Commencement Programs

No abstract provided.

2025 Spring Commencement, Georgia Southern University

Commencement Programs

No abstract provided.

Faculty Handbook, Georgia Southern University

Faculty Handbooks

Faculty Handbook for Georgia Southern University for the 2024-2025 academic year. The Faculty Handbook is published online by the Office of the Vice President for Academic Affairs and archived in Digital Commons@Georgia Southern.

2025 Georgia Southern University Men's Soccer Roster, Georgia Southern University

Men's Soccer Records

No abstract provided.

2025 Georgia Southern University Women's Soccer Media Guide, Georgia Southern University

Women's Soccer Records

No abstract provided.

2024-2025 Georgia Southern University Women's Swimming And Diving Roster, Georgia Southern University

Women's Swimming Records

No abstract provided.

Beyond The Glass Ceiling: Career Advancement Strategies For Mid-Level Women In Student Affairs, Jalonda N. Thompson

Journal of Higher Education & Student Affairs

The purpose of this paper is to provide an overview of the literature on the push and pull factors that influence women’s choices to either opt in or opt out of career advancement in student affairs (Coetzee & Moosa, 2020; Harman & Sealy, 2017). Women, specifically Black women, are underrepresented in Senior Student Affairs Officer (SSAO) positions in higher education (American Council of Education, 2024). As the demographics of the United States (US) change, student affairs is at a critical point to foster an inclusive learning environment that reflects the increasing racial and ethnic diversity in the US (Lopez, 2006). …

Georgia Southern Magazine, Georgia Southern University

Georgia Southern Magazine

• News and Events
• True Blue Spotlight
• Farewell to Freedom
• Eagles in Education
• Can't Put a Number on Wonder
• University News
• Research and Creativity
• Athletics
• Alumni and Friends
• Support
• In Memoriam

Amy Wagenfeld, Phd, Otrl, Scem, Faota

OJOT Sponsor Profiles

No abstract provided.

Inherited Wounds: Navigating Intergenerational Trauma Through Cooperative Play, Ayza Sheikh

Theses and Dissertations

'Strength' for Pakistani women is often defined as compromise, sacrifice, and silence. This definition has shaped intergenerational struggles in which women's self-narratives are constructed through suppression. Inherited Wounds seeks to address the trauma of suppression by creating a safe space for expression that fosters reflective and emotion-driven dialogue between Pakistani mothers and daughters.

Using interactive storytelling and embodied play, I developed a choice-based, narrative-driven video game and accompanying gesture-based controller. The game unfolds across childhood, marriage, and motherhood, mirroring the cycle of intergenerational struggle. Navigating choices in the game requires physical, intimate cooperation. The game uses the protagonist’s life as …

Epithelial Responses And Remodeling In The Submandibular Gland Post-Irradiation, Victoria Gellatly

Electronic Theses & Dissertations (2024 - present)

Radiation therapy for head and neck cancer often causes irreversible salivary gland dysfunction, resulting in chronic xerostomia. Understanding the cellular and molecular mechanisms underlying this dysfunction is essential for developing regenerative therapies. Given the cellular complexity of the salivary gland single-cell RNA sequencing (scRNA-seq) provides a powerful approach to investigate cell-type-specific injury responses to ionizing radiation (IR) and uncover transcriptional changes that may be masked in bulk analyses. This study investigates the cellular and molecular responses of the murine submandibular gland (SMG) to irradiation, with a focus on epithelial loss and remodeling, and regenerative failure. In order to effectively use …

Regenerating Justice: Chatgpt And The Legal Minefield Of Generative Ai, Katie Szilagyi

Canadian Journal of Law and Technology

This paper adopts an automation bias lens to cast doubt on the growing claims that GenAI is a transformational tool for legal industry. In this context, automation bias refers to the well-known psychological phenomenon in which human decision-makers unwittingly defer to automated processes, flowing from overreliance on the accuracy of the automation. Even well-meaning individuals aiming to keep a “human-in-the-loop” of any automated decision can fall prey to this well-documented phenomenon, trusting the technology more than it deserves to be trusted. Champions for current GenAI technologies often do acknowledge limitations within the existing landscape of tools, like GenAI’s tendency to …

Fabrication Of Functional Microparticles For Biological Analysis, Justin George

Electronic Theses & Dissertations (2024 - present)

To better advance our knowledge of cellular behavior, development of an organism, and disease mechanisms understanding cellular heterogeneity in the functional proteome is essential. Bulk measurements across a cell population often fail to capture the variations which exist between individual cells, however single cell proteomic technology has increasingly demonstrated the characterization of cellular heterogeneity. A single cell functional proteomics assay needs to be both high-throughput and multiplexed to effectively identify biomarkers and provide a quantitative correlation to better understand the interrelationships within complex protein networks. Janus particles have the ability to be engineered to have good compatibility and stability in …

Applications Of Uav In Landslide Research: A Review, Boneng Chen, Jeremy Maurer, Weibing Gong

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Uncrewed aerial vehicles (UAVs), commonly known as drones, have gained significant popularity in landslide research due to their operational flexibility, near real-time planning capabilities, cost-effectiveness, high-resolution data outputs, and enhanced safety. This review aims to provide an analysis of UAV-based landslide investigation methodologies and their applications. It begins with an examination of UAV platforms and UAV-equipped sensors employed in landslide research, evaluating their advantages and limitations to guide appropriate platform and sensor selection. The review then explores UAV applications across three primary landslide investigation domains: landslide mapping, landslide monitoring, and landslide hazard assessment, highlighting some representative achievements in each domain. …

Visual Understanding Of Rock Wettability Distribution To Contact Angle Regions And Oil Displacement Patterns In The Silty Sand Reservoir Via 2d Pore-Scale Modeling, H. Al-Ajaj, W. Al-Bazzaz, Ralph E. Flori, S. Alsayegh, H. Almubarak, D. S. Ibrahim, H. Al-Saedi

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

This study, conducted using a silty sand reservoir rock extracted from a Kuwait-producing oilfield, provides crucial insights into fluid distribution patterns and mineralogy, as well as wettability contact angle preferences. The method used for visual identification not only captures rock physics but also suggests effective oil recovery displacement strategies. Visual identification is presented using 2D image technology and a Scanning Electron Microscope (SEM). Analytical data are presented from electron bombardments and backscattering reflections collected in the BSE detector. These analyses were used to characterize the various surface boundary morphology parameters of the silty sand mineral surfaces, including area, perimeter, mineral …

Integration Of Physics-Informed Neural Networks And Transfer Learning For Rainfall Induced Landslide Forecasting, Shian Cao, Weibing Gong

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Rainfall-induced landslides are a significant geological hazard, causing severe economic losses and casualties. Accurate forecasting of these events is particularly challenging due to the complex interactions of spatial and temporal factors governing slope stability. The Iverson model, which uses the Richards equation to describe water infiltration in unsaturated soils, is a widely adopted framework for analyzing rainfall-induced landslides. However, its reliance on traditional numerical methods limits its scalability and efficiency, particularly for complex boundary conditions and transient behaviors near slope failure. To address these limitations, we propose a physics-informed neural network (PINN) enhanced with transfer learning (TL-PINN) to solve the …

Investigation Of Dynamic Adsorption And Desorption Of Polymer Nanogel In Porous Media Through Microfluidics, Junchen Liu, Fuqiao Bai, Abdulaziz A. Almakimi, Mingzhen Wei, Xiaoming He, Ibnelwaleed A. Hussein, Baojun Bai

Mathematics and Statistics Faculty Research & Creative Works

Understanding the transport and retention of elastic nanogel and microgel particles in porous media has been a significant research subject for decades, essential to the application of enhanced oil recovery (EOR). However, a lack of dynamic adsorption and desorption studies, in which the kinetics in porous media are seldom investigated, hinders the design and application of polymer nanogel in underground porous media. In this work, we visualized and quantified the transport and dynamic adsorption of polymer nanogel in 3D glass micromodels that were manufactured by packing glass beads in capillaries. Calibrating the linearity of fluorescence intensity to concentration, we calculated …

A Novel Technique For Improved Measurement Of Graphite And Inclusions In Ductile Iron Contaminated By Boron, Chase Schroeder, Colleen Lehrer, Simon Lekakh, Laura Bartlett

Materials Science and Engineering Faculty Research & Creative Works

The highly heterogeneous microstructure of ductile iron in casting includes graphite particles, non-metallic inclusions, microporosity, and other features, such as carbides distributed in the ferrite–pearlite matrix. Determination and comprehensive quantification of microstructural features are practically important however challenging. An advanced methodology based on an automated SEM/EDX analysis was developed and compared to the standard optical imaging method. In addition to backscattered electron contrast, sensitive to atomic number, a novel methodology added EDX data to identify and classify the multiple structural features at micron resolution thresholding. To quantify the shape of individual phases, the eight chord raster algorithms was used and …

Optical Sensor Instrumentation For Enhanced Continuous Caster Development, Hanok Wondimagegnehu Tekle

Doctoral Dissertations

Fiber-optic sensors are an emerging technology that can enhance process monitoring and control in steelmaking. They are especially valuable in the continuous caster’s harsh environment. This dissertation presents the industrial application and demonstration of three sensor types: single-mode silica fiber with Rayleigh-based Optical Frequency Domain Reflectometry (OFDR), sapphire fiber (single-crystal alumina) with Fiber Bragg Gratings (sFBG), and an in-line Raman spectroscopy probe. Each sensor served a distinct role in the continuous caster. Rayleigh OFDR sensors were embedded in tundishes for distributed thermal mapping at 7-mm spatial resolution across ≈4 m. Measurements were taken during preheating, casting, and ladle exchanges, and …

Radio Frequency Wave Propagation Modeling Within Obstructed Underground Mining Environments For Effective Miner Localization During Mine Emergencies, Emmanuel Atta Antwi

Doctoral Dissertations

The reliability of underground wireless communication systems remains a significant challenge, particularly during emergencies when the mine environment becomes severely obstructed by debris, dust, and humidity. These environmental and geometric conditions result in significant attenuation of electromagnetic (EM) waves and multipath effects that undermine miner localization and rescue operations. Existing Vector Parabolic Equation (VPE) models are efficient for straight or mildly curved tunnels but fail to account for the random and obstructive conditions typically encountered during underground emergencies. This research develops a novel radio propagation model for EM wave behavior in underground mine drifts under geometrically obstructed conditions. The model …

Re-Crosslinkable Particle For Conformance Control And Temporary Plugging, Yifu Long, Bowen Yu, Baojun Bai, Thomas P. Schuman

Patents

The present invention generally relates to the composition of particle gels for conformance control, well drilling and well treatments. More particularly, this invention relates to swellable polymer particle gels that can re-crosslink, i.e., reassociate and self-heal, at subterranean conditions. These particle gels can be deployed to improve the conformance of water flooding of especially matrix bypass events (MBEs), that are also known as void space conduits. Moreover, these particle gels can be deployed for controlling the water production and increasing of petroleum recovery. The inventive particles can also be deployed as diverter for well stimulation.

System And Method For Simulating A Respiratory System, Yang Wang, Weixing Hao, Yue-Wern Huang

Patents

A system and method for simulating a human respiratory system to facilitate investigating the functioning of the respiratory system, such as the generation and effects of secondhand smoke. An aerosol generator, which may include an atomizer, is configured to generate an aerosol. A series of filter media includes, in order, an inhaling extrathoracic filter media, an inhaling tracheobronchial filter media, an alveolar filter media, an exhaling tracheobronchial filter media, and an exhaling extrathoracic filter media. Each filter media includes one or more layers of a material having a fiber diameter and a weight that simulate the corresponding region of the …

Coating Compositions And Methods For Using The Same, Fateme Razaei, Thomas P. Schuman, Glenn C. Morrison

Patents

Coating compositions and methods for using the same are disclosed. The coating compositions can include an aminosilica adsorbent. The coating compositions can adsorb CO2 .

Topo-Vm-Unetv2: Encoding Topology Into Vision Mamba Unet For Polyp Segmentation, Diego Adame, Jose Angel Nunez, Fabian Vazquez Jr., Nayeli Gurrola, Huimin Li, Haoteng Tang

Computer Science Faculty Publications

Convolutional neural network (CNN) and Transformer-based architectures are two dominant deep learning models for polyp segmentation. However, CNNs have limited capability for modeling long-range dependencies, while Transformers incur quadratic computational complexity. Recently, State Space Models such as Mamba have been recognized as a promising approach for polyp segmentation because they not only model long-range interactions effectively but also maintain linear computational complexity. However, Mamba-based architectures still struggle to capture topological features (e.g., connected components, loops, voids), leading to inaccurate boundary delineation and polyp segmentation. To address these limitations, we propose a new approach called Topo-VM-UNetV2, which encodes topological features into …

Evaluating Time Series Models With Knowledge Discovery, Li Zhang

Computer Science Faculty Publications

Time series data is one of the most ubiquitous data modality existing in a diverge critical domain such as healthcare, seismology, manufacturing and energy. Recent years, there are increasing interest of the data mining community to develop time series deep learning model to pursue better performance. The models performance often evaluate by certain evaluation metrics such as RMSE, Accuracy, and F1-score. Yet time series data are often hard to interpret and is collected with unknown environment factor, sensor configuration, latent physic mechanisms, and non-stationary evolving behavior. As a result, a model that is better on standard metric-based evaluation may not …

The Impact Of Age-Friendly Policy On New York State: How Executive Order-190 And Executive Order-23 Shape Community Development For All Ages, Trista Bercarich

West Chester University Graduate Theses, Dissertations, and Final Projects

The demographic shift toward an aging population has created an urgent need for policies that promote inclusive, livable communities for all ages. This quantitative study examined New York State’s implementation of Age-Friendly policy through Executive Order 190 (2018) and Executive Order 23 (2022), which collectively advance the integration of health, accessibility and community participation across state and local systems. Guided by environmental gerontology and psychology, aging in place and successful aging frameworks, this research utilized an adapted version of the AARP Livable Communities Survey to assess residents’ perceptions of livability with the eight AARP domains. The cross-sectional online survey (n …

Is Youth's Engagement In Agribusiness An Opportunity Or A Necessity? A Closer Look At The Situation In South Kivu, Eastern Democratic Republic Of The Congo, Cool Dady Mangole, Paul Martin Dontsop Nguezet, Shiferaw Feleke, Victor Manyong, Kamala Kaghoma Christian, Zoumana Bamba, Tahirou Abdoulaye

All Peer-Reviewed Publications

Despite the broad focus on necessity- and opportunity-driven entrepreneurship in research and policy, the entrepreneurial dichotomy within the agribusiness context has not been adequately addressed. This study contributes to closing this knowledge gap by examining youth's perceptions of agribusiness through the lens of the push-pull motivation framework. Results reveal that 47% of youth are driven into agribusiness by both necessity and opportunity, while 41% by necessity alone and only 12% by opportunity alone. Key factors shaping youth's perceptions include gender, education, food processing participation, agribusiness-related training, land ownership, monthly income, and family farming background. The result further identifies significant heterogeneity …

Annual Diversity Of Honey Bee Pollen Sources In Two Pumpkin Growing Landscapes, Machakos County, Kenya, Marystella W. Nang’Oni, Muo Kasina, Rebecca Karanja, Mary M. Guantai, Rahab N. Kinyanjui, Evanson R. Omuse, Michael H.G. Lattorff, Elfatih M. Abdel-Rahman, Marian Adan, Samira A. Mohamed, Thomas Dubois

All Peer-Reviewed Publications

Multi-floral foraging sources for honey bee (Apis mellifera L.) have been threatened by landscape changes and unsustainable farming practices. In East Africa, the biodiversity of forage resources that could support honey bees, especially in agricultural lands, remains least explored. This study investigated pollen diversity for honey bees in Yatta and Masinga Sub-counties in Machakos County, Kenya. Honey bee hives were installed on eight pumpkin (Cucurbita maxima Duchesne ex Lam) farms (one hive per farm) in two varying landscape vegetation classes (low and medium) based on normalized difference vegetation index (NDVI). Pollen traps were installed at the hive entrance and pollen …

Effect Of Activation Temperature On Quantum Efficiency And Lifetime Of Nea Truncated Nanocone Array Gaas Photocathode, Md. Aziz Arroyo Rahman, Md Abdullah Mamun, Shukui Zhang, Hani E. Elsayed-Ali

Physics Faculty Publications

This study investigates the quantum efficiency (QE) and operational lifetime of a negative electron affinity GaAs truncated nanocone array (TNCA) photocathode benchmarked against a conventional flat GaAs photocathode under varying activation temperatures. The TNCA structure demonstrated a QE of up to 13.6% at 590 nm with room temperature (RT) activation—approximately 1.5 times higher than its flat counterpart. This enhancement is due to Mie resonance effects within the nanostructure, as confirmed by finite-difference time-domain simulations. Moreover, the TNCA photocathode exhibits significantly extended charge lifetime, with enhancement factors of ∼6.1 and ∼19.8 under RT and 50 °C activations, respectively. These gains are …