Digital Commons Network^™

Ce 200a - 001, 003, 101, 103: Surveying Lab, Allison Lapatka

Civil and Environmental Engineering Syllabi

No abstract provided.

Ce 210 - 001: Constrn Matrls & Procdrs, Frank Golon

Civil and Environmental Engineering Syllabi

No abstract provided.

Ce 210 - 003: Constrn Matrls & Procdrs, Fadi Karaa

Civil and Environmental Engineering Syllabi

No abstract provided.

Hss 404-H03: Biotechnology & The Law - Honors, Fall 2024, Mary Mitchell

History Syllabi

No abstract provided.

Hss 404-007: Biotechnology & The Law, Fall 2024, Mary Mitchell

History Syllabi

No abstract provided.

Hist 213-103: 20th Century World Hist, Fall 2024, Elektra Kostopoulou

History Syllabi

No abstract provided.

Hist 214-003: History Of Technology, Fall 2024, Matt Freedman

History Syllabi

No abstract provided.

Investigating The Neurovascular Correlates Of Cognitive Function In Individuals With Spinal Cord Injury Using Functional Near-Infrared Spectroscopy, Donna Yali Chen

Dissertations

Individuals with spinal cord injury (SCI) have a 13 times greater risk of cognitive impairment than able-bodied individuals and commonly report symptoms of depression and anxiety. The reports of cognitive impairment in individuals with SCI are independent of concomitant brain injury. Although the direct cause of cognitive impairment in individuals with SCI is unknown, key contributors may include comorbid depression, chronic pain, anxiety, fatigue, brain injury, or cardiovascular dysfunction. Previous studies have focused on SCI at the level of the spinal cord but have under-investigated the supraspinal levels. Due to the lack of neuroimaging studies on SCI rehabilitation, it is …

A Micromagnetic Study Of Skyrmions In Thin-Film Multilayered Ferromagnetic Materials, Nicholas J. Dubicki

Dissertations

Magnetic skyrmions are topologically protected, localized, nanoscale spin textures in non-centrosymmetric thin ferromagnetic materials and heterostructures. At present they are of great interest to physicists for potential applications in information technology due to their particle-like properties and stability. In a system of multiple thin ferromagnetic layers, the stray field interaction was typically treated with various simplifications and approximations. It is shown that extensive analysis of the micromagnetic equations leads to an exact representation of the stray field interaction energy in the form of layer interaction kernels, a so-called 'finite thickness' representation. This formulation reveals the competition between perpendicular magnetic anisotropy …

Enhancing Community Flood Resilience By Incorporating Landscape Hydrological Sensitivity And Connectivity, Wenlong Feng

Dissertations

Rapid urban expansion and dramatic climate change have significantly increased the intensity and frequency of floods worldwide. With rising flood risks, conventional flood defense strategies that rely on structural measures become ineffective. The present designations for flood-prone areas, such as FEMA's flood maps, are becoming unreliable. Flood risk management is shifting toward enhancing community flood resilience, highlighting the importance of non-structural approaches. Landscape resilience has become a foundation of community flood resilience. However, past urban development typically undermined natural hydro-ecological functions and landscape resilience because of poor recognition of landscapes' ecological role, hydrological sensitivity, and hydrological connections. This study aims …

Certifying Stability In Runge-Kutta Schemes: Algebraic Conditions And Semidefinite Programming, Austin Juhl

Dissertations

Numerical stability is a critical property for a time-integration scheme. In the context of Runge-Kutta methods applied to stiff differential equations, A-stability is one of the most basic and practically important notions of stability. Dating back to the work of Dahlquist, it has been known that A-stability is equivalent to the Runge-Kutta stability function satisfying a particular convex feasibility problem. Specifically, up to a transformation, the stability function lies in the convex cone of positive functions. In recent years, sum-of-squares optimization and semidefinite programming have become valuable tools in developing rigorous certificates of stability in dynamical systems. Therefore, it is …

Federated Learning Systems For Mobile Sensing Data, Xiaopeng Jiang

Dissertations

Federated Learning (FL) has emerged as a new distributed Deep Learning (DL) paradigm that enables privacy-aware training and inference on mobile devices with help from the cloud. This dissertation presents a comprehensive exploration of FL with mobile sensing data, covering systems, applications, and optimizations.

First, a mobile-cloud FL system, FLSys, is designed to balance model performance with resource consumption, tolerate communication failures, and achieve scalability. In FLSys, different DL models with different FL aggregation methods can be trained and accessed concurrently by different apps. In addition, FLSys provides advanced privacy-preserving mechanisms and a common API for third-party app developers to …

Data Driven Decision Making For Sustainable Planning And Operations Of Large Scale Networks, Bahareh Kargar

Dissertations

This dissertation explores data-driven decision-making networks, focusing on sustainable planning and operations for large-scale systems such as healthcare supply chains and power systems. One significant application in healthcare is the optimization of vaccine supply chains. An agent-based simulation-optimization modeling framework is developed to enhance the efficiency and sustainability of vaccine distribution. First, an agent-based epidemiological model of COVID-19 is extended to capture disease transmission dynamics and forecast the number of susceptible individuals and infections. Then, a sustainable vaccine supply chain considering the impacts of greenhouse gases is developed and integrated with the simulation model to minimize total costs and environmental …

Electrified Membrane For Water Treatment And Resource Recovery: Advancing Multiscale Strategies In Gas-Involving Reactions, Jianan Gao

Dissertations

Multifunctional, modular, and scalable water treatment technologies that operate without chemical additives are crucial for addressing global water pollution challenges. While traditional membrane-based separation processes are crucial for ensuring clean water supplies, they primarily focus on pollutant removal rather than on the upcycling of pollutants into valuable resources. Electrified membrane filtration presents a robust alternative, utilizing minimal or no chemical additives and harnessing electrical power to directly reduce contaminants or produce reactive oxidants or reductants on-site.

This dissertation is dedicated to the development of innovative electrochemically reactive membranes designed to address three major challenges: (1) the engineering of electrocatalysts with …

A Methodological Framework For Ontology Development, Enrichment, And Application In Natural Language Processing Tasks, Navya Martin Kollapally

Dissertations

Electronic Health Records (EHRs) have been widely used in healthcare to record demographics, vital signs, test results, immunizations, medical imaging reports, differential diagnoses, etc. It is now accepted that non-clinical (e.g., social) factors have a substantial influence on health outcomes. Hence, it is desirable to record these Social and Commercial Determinants of Health (SDoH & CDoH) in an EHR. The "non-text parts" of EHR notes (e.g., data tables) rely on coded terms from underlying ontologies or terminologies to facilitate semantic interoperability. Ontologies help define concepts, the relationships between them, and instances that can be utilized in research.

The first accomplishment …

Microwave Catalysis-Enabled Membrane Processes For Microbial Inactivation, Fangzhou Liu

Dissertations

The COVID-19 pandemic has highlighted the urgent need for advanced technologies to combat virus transmission. Traditional membrane filtration technologies primarily serve as physical barriers, capturing pollutants but failing to inactivate microbial agents such as bacteria and viruses. These membranes typically target larger particles but are ineffective against sub-micrometer viral particles. Thus, there's a critical demand for membrane filtration processes that combine robust filtration with antifouling and reaction -enabled functions for efficient pathogen disinfection. This research explores a novel microwave-assisted membrane filtration process incorporating catalytic reactions to enhance microbial disinfection and prevent membrane fouling, offering a groundbreaking solution to global challenges …

Estimation Of Spo2 Levels And Heart Rate From Ppg Signals In The Presence Of Motion Artifacts, Chizhong Wang

Dissertations

In the rapidly advancing world of health technology, wearable devices are at the forefront, fundamentally changing how individuals monitor their health. The key to this transformation is photoplethysmography (PPG), a non-invasive optical method that measures blood flow variations through the skin by detecting changes in light absorption with each heartbeat. This capability makes PPG essential for monitoring vital signs such as heart rate and blood oxygen saturation(SpO₂). Furthermore, the utility of PPG signals has been extended beyond traditional health metrics to include human activity classification, offering a holistic perspective on an individual's physical health and activity levels, in …

Order-Picking Strategies And Efficiency Models For The Fulfillment Of Multi-Line E-Commerce Grocery Orders, Zijia Wang

Dissertations

The fulfillment process for Buy Online Pickup from Store grocery orders (BOPS-Grocery) is particularly challenging, given the large item count per order and the low-profit margins. This research investigates the BOPS-Grocery model and pursues the following objectives: (i) Defining and specifying the BOPS-Grocery fulfillment process. Differentiating the process from classical warehouse order picking., identifying performance objectives, and characterizing design options and facility layout. (ii) Modelling and developing order picking algorithms specific to the straight aisle section. Formulated as an order hatching problem with picker movement minimization. No order splitting, and (iii) modeling and developing order picking algorithms specific to the …

Numerical Techniques For Improving Simulations Of Tropical Cyclones, Yassine Tissaoui

Dissertations

The increasing frequency and intensity of tropical cyclones (TCs) due to climate change pose significant challenges for forecasting and mitigating their impacts. Despite advancements, accurately predicting TC rapid intensification (RI) remains a challenge. Large eddy simulation (LES) allows for explicitly resolving the large eddies involved in TC turbulence, thus providing an avenue for studying the mechanisms behind their intensification and RI. LES of a full tropical cyclone is very computationally expensive and its accuracy will depend on both explicit and implicit dissipation within an atmospheric model. This dissertation presents two novel numerical methodologies with the potential to improve the efficiency …

Collision Dynamics Of Compound Droplets In Microchannels: A Combined Numerical And Data-Driven Study, S M Abdullah Al Mamun

Dissertations

Understanding and predicting the hydrodynamic interactions of micron-scale droplets is crucial in a wide range of industrial and real-life applications, including microfluidics, pharmaceutics, drug delivery, food science, and enhanced oil recovery. These multi-phase and multi-scale phenomena are further complicated by the presence of core droplets of an immiscible fluid within shell droplets, known as compound droplets. The collisions and interactions of droplets in emulsions are influenced by various physical and geometric parameters, leading to distinct rheological and dynamic responses. This research employs numerical methods for a systematic parametric study of both simple and compound droplet pair collisions under confined shear …

Large Deviation Theory In Stochastic Processes: Applications To Biological Modeling, Moshe C. Silverstein

Dissertations

This dissertation delves into developing and applying stochastic models to analyze complex biological systems. It leverages Large Deviation Theory (LDT) to gain insights into these systems, focusing on two key examples: neural networks and calcium signaling dynamics. Traditional deterministic methods frequently fail to capture biological processes' randomness and inherent variability. Meanwhile, many stochastic approaches struggle to be mathematically tractable or provide accessible insights. The approach introduced in this study provides rigorous mathematical frameworks to enhance understanding of these stochastic behaviors while remaining tractable and insightful.

A stochastic model for a random biological neural network is constructed that addresses the dependencies …

Efficient Numerical Methods For Monge-Ampere Type Equations, Jake S. Brusca

Dissertations

Current numerical methods for Monge-Ampere-type equations and Optimal Transport problems face challenges when handling higher dimensions and large-scale data. This dissertation aims to develop and analyze efficient, highly parallelizable numerical algorithms for solving the Monge-Ampere equation to address these issues. Two approaches are employed:

(1) The discretization method is enhanced by introducing an integral repre-sentation of the Monge-Ampere operator. This integral can be discretized using higher-order quadrature, yielding a more efficient, higher-order monotone scheme that allows for narrower stencils. An additional advantage of this discretization is its natural extension to arbitrary dimensions.

(2) The nonlinear solvers for this scheme are …

Aquaponics Experiment For Njit Stem For Success, Christopher Tava

STEM Month

As a member of STEM for Success, I was responsible for constructing and promoting a functioning aquaponics system for the benefit of fifth grade students. With the help of NJIT funding, I was able to design, rapid prototype, and then implement a sustainable aquaponics system that was able to grow lettuce, tomatoes, and kale. Multiple challenges in the design process led to changes, further research, and the implementation of new solutions, as described in detail. Using the aquaponics knowledge gained from the experimental phase, I then led community outreach to elementary schools in my local area. Aquaponics possesses a variety …

Minorities And The Ai Revolution: Examining The Literature On Equity And The Digital Divide, James Lipuma, Cristo Leon

STEM for Success Resources

Lipuma, J., & Leon, C. (2024). Minorities and the AI Revolution: Examining the Literature on Equity and the Digital Divide [Non-peer review]. Academia Journals Puebla, 16(6), 4.107-4.115. /Research/Education.

Analyzing The Use Of The Kirkpatrick Model In Higher Education: Insights From An Nsf-Funded Chemistry Curriculum Project, James Lipuma, Cristo Leon

STEM for Success Resources

Lipuma, J., & Leon, C. (2024). Analyzing the Use of the Kirkpatrick Model in Higher Education: Insights from an NSF-Funded Chemistry Curriculum Project [Non-peer review]. Academia Journals Puebla, 16(6), 4.98-4.106. /Research/Education.

Ai And The Future Of Marketing Education Through The Lens Of The Space Merchants, Jasmin Cowin, Cristo Leon, Sabra Brock, Xavier Oviedo Torres

STEM for Success Resources

Artificial Intelligence (AI) is transforming professional marketing practices as well as marketing education. This paper employs the science fiction novel “The Space Merchants” by Pohl and Kornbluth as a metaphorical framework for critically examining AI integration in marketing curricula. The authors review existing literature examining the impacts of AI on marketing practices and education. Furthermore, they establish a qualitative methodology analyzing a real-world case study, current applications of AI in marketing education, and discuss ethical frameworks surrounding the use of AI. Utilizing “The Space Merchants” satirical portrayal of consumerism, they reflect on AI’s potential to commodify marketing education, homogenize student …

Elusive Shift: How Role-Playing Games Forged Their Identity [Reseña], Edgar Meritano Corrales

Journal of Roleplaying Studies and STEAM

Elusive Shift: How Role-Playing Games Forged Their Identity by Jon Peterson traces the history and evolution of role-playing games (RPGs), from their roots in wargames to their establishment as a distinct genre. The book examines how RPGs have shifted from focusing on simulating physical conflict to emphasizing character creation and collaborative storytelling, exploring the role of the game master, ethical decision-making within the game world, and the philosophical implications of the gaming experience. Peterson also explores the maturity of RPGs over time, highlighting the development of invisible systems and the elusive shift that has solidified the unique identity of RPGs. …

Estética Relacional De Los Juegos De Rol., Juan M. Díaz De La Torre

Journal of Roleplaying Studies and STEAM

El presente escrito son los primeros esbozos de una investigación mayor, la cual busca establecer que los juegos de rol son una forma artística fundamentada en la llamada estética relacional propuesta por Nicolas Bourriaud. Hubo trabajos previos que alimentaron este artículo[1]. La idea central es pensar al acontecimiento estético como la fase más alta de un proceso de agregación en donde diferentes dimensiones de la vida de los jugadores y planos existenciales (juego, reglas, mundo social, mundo narrativo, etc) se aglomeran para generar la experiencia estética. En este sentido, lo estético en los juegos de rol es algo …

Las Figuras De Juegos De Rol Como Soporte Para La Apropiación De Personajes, Roberto A. García Madrid, Blanca E. López Pérez

Journal of Roleplaying Studies and STEAM

El desarrollo de juegos de rol implica la consideración de diversos elementos, como temática, historia y personajes. Un aspecto es la utilización de figuras en miniatura, que actúan como avatares físicos en la narración del juego. Estas figuras contribuyen a la identificación entre jugadores y personajes, así como a la construcción de escenas y al entendimiento del desempeño de los personajes.

Cada juego ofrece diversas opciones de avatares, con distintos niveles de abstracción y representación. El mercado de figuras proporciona una amplia variedad de personajes con diferentes poses y técnicas de pintura, enriqueciendo la experiencia de construcción avatares. Identificar los …

Journal Of Roleplaying Studies And Steam (Jrpssteam) Vol. 3 [2024], Número 1 (Issue 1)., Miguel A. Bastarrachea-Magnani, Edgar Meritano, Mauricio Rangel Jiménez, Cristo Leon, James Lipuma Dr.

Journal of Roleplaying Studies and STEAM

Editorial Lento pero seguro, seguimos adelante

Estamos muy contentos de seguir con este proyecto que ha tenido gran éxito, contamos con registro de descargas de más de 130 instituciones universitarias de 74 países, además de posicionarnos poco a poco como una revista académica de gran nivel gracias a las políticas estrictas que seguimos número tras número.

En esta ocasión los trabajos presentados dan muestra de la madurez que estamos alcanzando como revista, como primer artículo tenemos Las figuras de juegos de rol como soporte para la apropiación de personajes, texto que nos habla de la gran relevancia que tienen las …