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Response Surface Analysis Of Biopolymer Gel Performance In Fractured High Temperature Formations, Farhad A. Bina, Dongmei Wang, Yun Ji, Moones Alamooti, Olufemi Oni Jan 2025

Response Surface Analysis Of Biopolymer Gel Performance In Fractured High Temperature Formations, Farhad A. Bina, Dongmei Wang, Yun Ji, Moones Alamooti, Olufemi Oni

Petroleum Engineering Student Publications

This study investigates the performance of a hydroxyethyl cellulose (HEC)–based biopolymer gel for fracture conformance control in high-temperature geothermal reservoirs using a statistically driven experimental framework. Laboratory core-flooding experiments were conducted on fractured limestone and sandstone samples from the Deadwood Formation under controlled thermal and chemical conditions, with temperatures reaching 160 °C. The effects of temperature, gel formulation salinity, and lithology on key performance indicators—including residual resistance factor (RRF), resistance factor (RF), gel extrusion pressure gradient (GEPG), and heat retention—were quantified. Response Surface Methodology (RSM) was applied using Minitab to capture variable interactions and develop predictive models for gel behavior …

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An Archaeology Of The Red River Of The North, Michael G. Michlovic Jan 2025

An Archaeology Of The Red River Of The North, Michael G. Michlovic

Digital Press Books

An Archaeology of the Red River of the North offers an expansive survey of the indigenous cultures and peoples in the region of the Red River from the recession of Lake Agassiz around 9000 years ago to the intrusion of the Europeans. Beginning with an overview of the practice of regional archaeology and a justification for its pursuit, Michael Michlovic uses a traditional culture-historical sequence as a framework to incorporate archaeological studies from the late nineteenth century to the present time. Relevant research in fields such as ethnohistory, ethnography, radiometric dating, paleoecology, and geomorphology are used throughout the presentation. Dozens …

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Support Vector Machine Optimization For Predicting Bio  Polymer Gel Effectiveness In Fracture-Dominated  High-Temperature Reservoirs, Farhad A. Bina Jan 2025

Support Vector Machine Optimization For Predicting Bio  Polymer Gel Effectiveness In Fracture-Dominated  High-Temperature Reservoirs, Farhad A. Bina

Petroleum Engineering Student Publications

This paper presents a data-driven framework for evaluating the effectiveness of bio-polymer gel treatments in fracture-dominated, high-temperature geothermal reservoirs. Laboratory core-flooding experiments were conducted on samples from the Deadwood Formation under reservoir-representative conditions, including temperatures up to 160 °C and salinity levels up to 17% TDS. Key physical, thermal, and flow-related parameters—such as porosity, permeability, fracture width, heat retention, and gel extrusion pressure—were integrated into a Support Vector Machine (SVM) classification model to predict treatment success, defined by a residual resistance factor (RRF) threshold of 1000. To extend the applicability of the model beyond available core material, geologically informed synthetic …

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J-Necora: A Framework For Optimal Resource Allocation In Cloud-Edge-Things Continuum For Industrial Applications With Mobile Nodes, Marco Pettorali, Francesca Righetti, Carlo Vallati, Sajal K. Das, Giuseppe Anastasi Jan 2025

J-Necora: A Framework For Optimal Resource Allocation In Cloud-Edge-Things Continuum For Industrial Applications With Mobile Nodes, Marco Pettorali, Francesca Righetti, Carlo Vallati, Sajal K. Das, Giuseppe Anastasi

Computer Science Faculty Research & Creative Works

In the Industrial Internet of Things (IIoT) landscape, where the Cloud-to-Things Continuum (C2TC) paradigm is now a reality, industrial applications need to cope with highly heterogeneous network and computing resources. Moreover, many industrial applications also involve Mobile Nodes (MNs). Efficient allocation of network and computing resources to meet the stringent requirements of such applications is often a very challenging task. In this paper, we propose J-NECORA (Joint NEtwork and COmputing Resource Allocation), a comprehensive analytical framework to derive the optimal joint allocation of network and computing resources in the C2TC, that guarantees the application requirements, even in the presence of …

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Message From The Phd Dissertation Showcase Chairs, Sanjay Kumar Madria, Anita Graser Jan 2025

Message From The Phd Dissertation Showcase Chairs, Sanjay Kumar Madria, Anita Graser

Computer Science Faculty Research & Creative Works

No abstract provided.

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Dynamic Resource Allocation In Cloud-To- Things Continuum For Real-Time Iot Applications, Marco Pettorali, Francesca Righetti, Carlo Vallati, Sajal K. Das, Giuseppe Anastasi Jan 2025

Dynamic Resource Allocation In Cloud-To- Things Continuum For Real-Time Iot Applications, Marco Pettorali, Francesca Righetti, Carlo Vallati, Sajal K. Das, Giuseppe Anastasi

Computer Science Faculty Research & Creative Works

The proliferation of loT devices and the growing demand for real-time applications have driven a shift in the computation paradigm, from Cloud computing to Edge computing, creating the Cloud-to-Things Continuum (C2TC). Many real-time loT applications involve Mobile Nodes (MNs), which may dynamically join or leave. In addition, in future reconfigurable loT systems, applications with different requirements will coexist, and will be dynamically introduced or removed. All this asks for dynamic management mechanisms to ensure the requirements of different real-time applications, even when the system configuration changes over time. In this paper, we propose DJ-NECORA, an online algorithm for the joint …

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Feature Fusion Transferability Aware Transformer For Unsupervised Domain Adaptation, Xiaowei Yu, Zhe Huang, Zao Zhang Jan 2025

Feature Fusion Transferability Aware Transformer For Unsupervised Domain Adaptation, Xiaowei Yu, Zhe Huang, Zao Zhang

Computer Science Faculty Research & Creative Works

Unsupervised domain adaptation (UDA) aims to leverage the knowledge learned from labeled source domains to improve performance on the unlabeled target domains. While Convolutional Neural Networks (CNNs) have been dominant in previous UDA methods, recent research has shown promise in applying Vision Transformers (ViTs) to this task. In this study, we propose a novel Feature Fusion Transferability Aware Transformer (FFTAT) to enhance ViT performance in UDA tasks. Our method introduces two key innovations: First, we introduce a patch discriminator to evaluate the transferability of patches, generating a transferability matrix. We integrate this matrix into self-attention, directing the model to focus …

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Ca-Vqvae: Cortical Folding Aware Numerical Representation Of White-Matter Structure, Yanjun Lyu, Jing Zhang, Lu Zhang, Tong Chen, Xiaowei Yu, Minheng Chen, Yan Zhuang, Chao Cao, Tianming Liu, Dajiang Zhu Jan 2025

Ca-Vqvae: Cortical Folding Aware Numerical Representation Of White-Matter Structure, Yanjun Lyu, Jing Zhang, Lu Zhang, Tong Chen, Xiaowei Yu, Minheng Chen, Yan Zhuang, Chao Cao, Tianming Liu, Dajiang Zhu

Computer Science Faculty Research & Creative Works

White matter (WM) serves as a fundamental component of the brain providing essential structural support and facilitating the brain cognitive processes. Thus, an accurate and efficient description of the brain's white matter structure is essential for understanding brain function connectivity and development. In this work we used the deep model to combine the information of the WM fiber bundle shape and its related cortical folding patterns together representing the WM fiber bundle from diffusion MRI tractography into a pre-defined low-dimensional space and generate the numerical representation vector. This cortical-aware vector-quantized variational encoder (CA-VQVAE) framework leverages cortical locations and folding patterns …

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Using Structural Similarity And Kolmogorov-Arnold Networks For Anatomical Embedding Of Cortical Folding Patterns, Minheng Chen, Chao Cao, Tong Chen, Yan Zhuang, Jing Zhang, Yanjun Lyu, Xiaowei Yu, Lu Zhang, Tianming Liu, Dajiang Zhu Jan 2025

Using Structural Similarity And Kolmogorov-Arnold Networks For Anatomical Embedding Of Cortical Folding Patterns, Minheng Chen, Chao Cao, Tong Chen, Yan Zhuang, Jing Zhang, Yanjun Lyu, Xiaowei Yu, Lu Zhang, Tianming Liu, Dajiang Zhu

Computer Science Faculty Research & Creative Works

The 3-hinge gyrus (3HG) is a newly defined folding pattern, which is the conjunction of gyri coming from three directions in cortical folding. Many studies demonstrated that 3HGs can be reliable nodes when constructing brain networks or connectome since they simultaneously possess commonality and individuality across different individual brains and populations. However, 3HGs are identified and validated within individual spaces, making it difficult to directly serve as the brain network nodes due to the absence of cross-subject correspondence. The 3HG correspondences represent the intrinsic regulation of brain organizational architecture, traditional image-based registration methods tend to fail because individual anatomical properties …

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Secure Data Relay In Federated Digital Twins Of Iot-Enabled Smart Interconnected Factories, Anusha Vangala, Jack Wyeth, Ashok Kumar Das, Sajal K. Das Jan 2025

Secure Data Relay In Federated Digital Twins Of Iot-Enabled Smart Interconnected Factories, Anusha Vangala, Jack Wyeth, Ashok Kumar Das, Sajal K. Das

Computer Science Faculty Research & Creative Works

Smart interconnected factories allow manufacturing units from physically distanced factory sites to communicate classified information needed for additive manufacturing. Each factory has interconnected digital twins of their equipment autonomously managed by a Point-of-Contact digital twin creating a hierarchical system with federated digital twins. The data sharing between the factories must be directed through an edge node responsible for managing multiple factories. We proposed a novel lightweight protocol to prevent the leakage of classified information at any nodes other than the origin and destination digital twins. It leverages elliptic curve cryptography to design a proxy re-encryption scheme with the edge node …

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Alertble: Alert Workzone Hazards Using Hybrid Filtering And Machine-Learning-Enabled Ble, Samuel Akinyede, Sejun Song Jan 2025

Alertble: Alert Workzone Hazards Using Hybrid Filtering And Machine-Learning-Enabled Ble, Samuel Akinyede, Sejun Song

Computer Science Faculty Research & Creative Works

Collision hazard detection in industrial work zones faces challenges from signal instability, mobility-induced fluctuations, and nonline-of-sight (NLOS) conditions. While Bluetooth low energy (BLE) offers cost-effective proximity sensing, its received signal strength indicator (RSSI) variability - fluctuating by ±10 dBm even at fixed distances - limits reliability in safety-critical applications. This article presents AlertBLE, a hybrid BLE-based hazard detection system that combines extended Kalman filter (EKF) and adaptive moving average (AMA) algorithms to achieve up to 94% RSSI variance reduction in static NLOS conditions. The system introduces speed-aware safety thresholds based on reaction time and braking distance models, dynamically expanding hazard …

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V-Usdt: Vision-Based Uav Swarm Detection And Tracking By Leveraging Swarm Formation Constraints, Md Hasibur Rahman, Sanjay Madria Jan 2025

V-Usdt: Vision-Based Uav Swarm Detection And Tracking By Leveraging Swarm Formation Constraints, Md Hasibur Rahman, Sanjay Madria

Computer Science Faculty Research & Creative Works

The rapid proliferation of Unmanned Aerial Vehicles (UAVs) and UAV swarm technologies has raised critical concerns about security and safety in low-altitude airspace. In response, we propose a vision-based system for detecting and tracking UAV swarms, which combines a novel UAV detection mechanism with a swarm tracking strategy. Our UAV detector incorporates parallel receptive field blocks alongside an attention mechanism to enhance detection performance. This design effectively captures multiscale features of UAVs while prioritizing salient features, ensuring robust detection under diverse conditions. For swarm tracking, we leverage the inherent formation constraints typically maintained by UAV swarms. These constraints allow us …

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Rush: Rule-Based Scheduling For Low-Latency Serverless Computing, Priyanka Ashok Birajdar, Kush Anchalia, Anurag Satpathy, Sourav Kanti Addya Jan 2025

Rush: Rule-Based Scheduling For Low-Latency Serverless Computing, Priyanka Ashok Birajdar, Kush Anchalia, Anurag Satpathy, Sourav Kanti Addya

Computer Science Faculty Research & Creative Works

Serverless computing abstracts server management, enabling developers to focus on application logic while benefiting from automatic scaling and pay-per-use pricing. However, dynamic workloads pose challenges in resource allocation and response time optimization. Response time is a critical performance metric in serverless environments, especially for latency-sensitive applications, where inefficient scheduling can degrade user experience and system efficiency. This paper proposes RUSH (Rule-based Scheduling for Low-Latency Serverless Computing), a lightweight and adaptive scheduling framework designed to reduce cold starts and execution delays. RUSH employs a set of predefined rules that consider system state, resource availability, and timeout thresholds to make proactive, latency-Aware …

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The Small Business Dilemma, Rachel G. Ngo Ntomp Jan 2025

The Small Business Dilemma, Rachel G. Ngo Ntomp

Washington and Lee Law Review

Small businesses face a unique and challenging dilemma in today’s business landscape. On the one hand, they are typically and rightfully considered the more powerful party in their contractual relations with consumers, thus prompting a need to protect consumers against unfair contractual terms. On the other hand, when engaging with larger businesses, small businesses typically find themselves in the position of the weaker, more vulnerable party, possibly in need of greater protection themselves from unfair terms. This Article addresses the inherent dilemma faced by small businesses and argues that the prevailing perception of businesses as sophisticated and experienced, based exclusively …

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Establishing Performance Criteria For Evaluating Watershed-Scale Sediment And Nutrient Models At Fine Temporal Scales, Aayush Pandit, Sarah Hogan, David Tyler Mahoney, William I. Ford, James F. Fox, Christopher Wellen, Admin Husic Jan 2025

Establishing Performance Criteria For Evaluating Watershed-Scale Sediment And Nutrient Models At Fine Temporal Scales, Aayush Pandit, Sarah Hogan, David Tyler Mahoney, William I. Ford, James F. Fox, Christopher Wellen, Admin Husic

Civil Engineering Faculty Publications

Watershed water quality models are mathematical tools used to simulate processes related to water, sediment, and nutrients. These models provide a framework that can be used to inform decision-making and the allocation of resources for watershed management. Therefore, it is critical to answer the question “when is a model good enough?” Established performance evaluation criteria, or thresholds for what is considered a ‘good’ model, provide common benchmarks against which model performance can be compared. Since the publication of prior meta-analyses on this topic, developments in the last decade necessitate further investigation, such as the advancement in high performance computing, the …

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A Case For Further Environmental Protections Of Endangered Animals’ Habitats And A Limitation Of State Agency Power, Jacob T. Norris Jan 2025

A Case For Further Environmental Protections Of Endangered Animals’ Habitats And A Limitation Of State Agency Power, Jacob T. Norris

Student Works

No abstract provided.

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Development Of Cerium Oxide Based Polymer Composites With Enhanced Cytocompatability For Biomedical Applications, Roshna Cherugail Jan 2025

Development Of Cerium Oxide Based Polymer Composites With Enhanced Cytocompatability For Biomedical Applications, Roshna Cherugail

Honors Undergraduate Theses

This thesis presents the synthesis and characterization of cerium oxide nanoparticles (CNPs), and silver-doped cerium oxide nanoparticles (AgCNPs) loaded in alginate beads that were designed to be applied in biomedical settings. Cerium oxide was chosen for its antioxidant and anti-inflammatory capabilities, and silver oxide was selected to enhance antimicrobial functionality, both of which are pivotal in expedited wound closure and promoting cellular proliferation. Through the use of an advance electrospray encapsulation apparatus, alginate-based polymer beads were created by incorporating either CNPs or AgCNPs into the matrix. These beads were later characterized using a range of microscopic and FTIR analyses, in …

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Florida Resident Water Survey: Floridians' Relationships With Water And Water Management, Derek S. Reiners, Stefan Carpenter Jan 2025

Florida Resident Water Survey: Floridians' Relationships With Water And Water Management, Derek S. Reiners, Stefan Carpenter

Florida Geographer

This article reports the results of a 2023 survey of Florida residents regarding water and water management issues, including recreational and utilitarian water use, assessments and concerns regarding various water entities, knowledge of water management concepts, and involvement in water management activities. The survey included a total of 54 measures from a combination of compound (4) and single-answer (16) questions. Overall, the survey found that Florida’s water resources are held in high regard, and there is strong interest in protecting them across key demographic categories, including political ideology. This level of public attention and support may represent an opportunity for …

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Agenda, Maxsane Mitchell, Eugenie S. Kleinerman Md Jan 2025

Agenda, Maxsane Mitchell, Eugenie S. Kleinerman Md

The Eugenie Kleinerman, M.D., Research Symposium

No abstract provided.

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Doj Compliance Monitorships: The Use Of Corporate Monitors And The Future Of The Boeing Company, Jessica Kolditz Jan 2025

Doj Compliance Monitorships: The Use Of Corporate Monitors And The Future Of The Boeing Company, Jessica Kolditz

Maryland Law Review Online

No abstract provided.

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An Approach To Quantifying The Lifecycle Sustainability Impacts Of Tungsten Carbide Tools, Gatewood Arnold, Julian Polizzi, Syed Ibn Mohsin, Daniel Carnesi, Julius Schoop, Fazleena Badurdeen Jan 2025

An Approach To Quantifying The Lifecycle Sustainability Impacts Of Tungsten Carbide Tools, Gatewood Arnold, Julian Polizzi, Syed Ibn Mohsin, Daniel Carnesi, Julius Schoop, Fazleena Badurdeen

Mechanical Engineering Faculty Publications

Tungsten carbide cutting tools are widely used for their high machining performance and low cost. However, their cost does not currently reflect the material rarity, environmental costs, nor societal costs associated with their production. Critically, embodied energy makes a sizeable contribution to the total lifecycle energy consumption. This study quantifies the true triple bottom line cost of the tools with respect to established sustainability metrics by leveraging cross-disciplinary insights from the product, process, and system levels. Based on the adjusted cost, a comparative analysis of the cutting tool sustainability on the profitability of a nickel-based superalloy machining process was carried …

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A Multi-Scale Finite Element Method For Investigating Fiber Remodeling In Hypertrophic Cardiomyopathy, Mohammad Mehri, Kenneth S. Campbell, Lik Chuan Lee, Jonathan F. Wenk Jan 2025

A Multi-Scale Finite Element Method For Investigating Fiber Remodeling In Hypertrophic Cardiomyopathy, Mohammad Mehri, Kenneth S. Campbell, Lik Chuan Lee, Jonathan F. Wenk

Mechanical Engineering Faculty Publications

A significant hallmark of hypertrophic cardiomyopathy (HCM) is fiber disarray, which is associated with various cardiac events such as heart failure. Quantifying fiber disarray remains critical for understanding the disease’s complex pathophysiology. This study investigates the role of heterogeneous HCM-induced cellular abnormalities in the development of fiber disarray and their subsequent impact on cardiac pumping function. Fiber disarray is predicted using a stress-based law to reorient myofibers and collagen within a multiscale finite element cardiac modeling framework, MyoFE. Specifically, the model is used to quantify the distinct impacts of heterogeneous distributions of hypercontractility, hypocontractility, and fibrosis on fiber disarray development …

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Second Generation Immigrants In Higher Education: Experiences In Selective Liberal Arts Contexts, Brenna Paxton Jan 2025

Second Generation Immigrants In Higher Education: Experiences In Selective Liberal Arts Contexts, Brenna Paxton

Honors Theses

The purpose of this study is to examine the educational experiences of second-generation students at a selective, predominantly white liberal arts institution, in order to better understand what types of factors and practices contribute to their success, and how successful educational trajectories intersect with racial, ethnic, cultural and gender identities. To explore this, hour-long interviews were conducted, diving deeper into the educational experiences of second generation immigrants, also considering the lives of previous generations such as parents and grandparents. Interviews were transcribed and coded, uncovering patterns and themes that existed across participants’ experiences. Findings revealed that second generation immigrants at …

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In Vitro Microfluidics System For Mechanobiologic Investigations, Michael A. Daanen Jan 2025

In Vitro Microfluidics System For Mechanobiologic Investigations, Michael A. Daanen

Honors Theses

Mechanobiology is an emerging field that aims to study the relationships between mechanical forces and cellular behavior. Such mechanobiological relationships are especially critical in the cardiovascular system, where endothelial cells lining the vasculature align in response to fluid shear stresses from blood flow (Sinha, 2016). Implanted flow devices, diabetes, chronic hypertension, and various other diseases and pathophysiologies alter vessel geometries and flow dynamics. Such alterations impact fluid shear stress and endothelial cell behavior, leading to microcirculatory dysfunction, vessel leakage, and organ failure (Poredos, 2021; Papadaki, 1999; Leitschuh, 1987). To simulate dysfunctional endothelial cell behavior in vitro and evaluate novel therapeutic …

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A Broad Range Of Sexual Misconduct And Associated Mental Health Outcomes, Cory Sanderson Jan 2025

A Broad Range Of Sexual Misconduct And Associated Mental Health Outcomes, Cory Sanderson

Honors Theses

College women are at a high risk of experiencing sexual misconduct (SM) (Graham et al., 2022). Research shows a connection between sexual victimization and psychological distress (Graham et al., 2022). The lack of research on a broader range of SM and associated mental health outcomes is a lacuna that must be addressed. SM is a widely understudied issue, and approximately 1 in 5 college women will experience it at least once during their time on campus (Muehlenhard et al., 2017). Women are not only at a high risk of experiencing SM during their time in college, but research shows a …

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On Linear Invariants Of Hypergraphs, Clara Chaplin Jan 2025

On Linear Invariants Of Hypergraphs, Clara Chaplin

Honors Theses

We introduce linear invariants of hypergraphs as a way to study hypergraphs by their tensor representations. Our primary research goal is to determine what information linear invariants capture about the hypergraphs they arise from. We first investigate the centroid, which is shown to determine the connected components of a hypergraph. Next, we study the derivations of a hypergraph, and use this linear invariant to define a quotient operator $Q_\mathrm{Der}$ on the collection of all hypergraphs. This operator is shown to be a closure operator in that $Q_\mathrm{Der}(Q_\mathrm{Der}(\mathcal{H}))=Q_\mathrm{Der}(\mathcal{H})$ for any hypergraph $\mathcal{H}$. We apply the operator $Q_\mathrm{Der}$ to synthetically generated hypergraphs, …

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One Peak, Two Peaks: On The Effects Of Enhanced Evaporation In An Ammonium Sulfate And Succinic Acid Aerosol System, Julia Reynolds Jan 2025

One Peak, Two Peaks: On The Effects Of Enhanced Evaporation In An Ammonium Sulfate And Succinic Acid Aerosol System, Julia Reynolds

Honors Theses

Aerosols, defined as suspensions of liquid or solid particles in a gaseous medium, are ubiquitous in both indoor and outdoor environments. They have significant impacts ranging from public health concerns to climate dynamics. In laboratory settings, aerosols are most often generated through a technique known as atomization. The atomization or nebulization is from dilute, aqueous solutions of various chemical compositions. This process typically produces a unimodal, lognormal particle size distribution with exceedingly rare exceptions. Colleagues in a different laboratory (Dr. Freedman’s Group at Pennsylvania State University), however, mentioned they observed a bimodal size distribution, a distribution with more than one …

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How The Town Views The Gown: A Case Study Of A Campus-Community Relationship, Dora Kreitzer Jan 2025

How The Town Views The Gown: A Case Study Of A Campus-Community Relationship, Dora Kreitzer

Honors Theses

This research uses Bucknell and Lewisburg as a case study to understand the relationship between universities and their surrounding communities. While prior research has focused on urban, large, and/or research-oriented universities, the rural, small, and predominantly liberal arts nature of Bucknell provides an opportunity to explore how campus-community relationships vary by environment. Forty-eight qualitative semi-structured interviews and 12 months of observation of Lewisburg Borough Council meetings are used to explore three main areas of the town-gown relationship: economics, space, and social capital. These three themes emerged from interviews and observations as the most important determinants of residents’ perceptions of the …

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Visions Of Durango, Suleman Saleem Jan 2025

Visions Of Durango, Suleman Saleem

English Honors Papers

No abstract provided.

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Do Running Backs Matter? Positional Value And Antitrust Implications Of The Modern Nfl Running Back, John "Jack" Mostow Jan 2025

Do Running Backs Matter? Positional Value And Antitrust Implications Of The Modern Nfl Running Back, John "Jack" Mostow

Student Works

No abstract provided.

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