Digital Commons Network^™

Utilizing Software Engineering And Cloud Computing Principles To Develop The Revised Self-Report Assessment Of Functional Visual Performance (R-Srafvp) Application, Kirk Hedlich

Masters Projects

Can principles from software engineering and concepts from cloud computing be applied to and aid in the development of a small project, specifically improving the use of the Revised Self-Report Assessment of Functional Visual Performance (R-SRAFVP)? The target for this project is to create a new application and improve on existing attempts to move the R-SRAFVP assessment from an electronic document format to a web-based application. The new application should provide better ease of use, simplicity in design and understanding for use, and hopefully increased access and adoption by Occupation Therapists who specialize in low vision rehabilitation. The benefits of …

Piezoelectricity In Hafnia, Sangita Dutta, Pratyush Buragohain, Sebastjan Glinsek, Claudia Richter, Hugo Aramberri, Haidong Lu, Uwe Schroeder, Emmanuel Defay, Alexei Gruverman, Jorge Íñiguez

Department of Physics and Astronomy: Faculty Publications

Because of its compatibility with semiconductor-based technologies, hafnia (HfO₂) is today’s most promising ferroelectric material for applications in electronics. Yet, knowledge on the ferroic and electromechanical response properties of this all-important compound is still lacking. Interestingly, HfO₂ has recently been predicted to display a negative longitudinal piezoelectric effect, which sets it apart from classic ferroelectrics (e.g., perovskite oxides like PbTiO₃) and is reminiscent of the behavior of some organic compounds. The present work corroborates this behavior, by first-principles calculations and an experimental investigation of HfO₂ thin films using piezoresponse force microscopy. Further, the simulations …

Identifying Bots On Twitter With Benford’S Law, Sanmesh Bhosale

Master's Projects

Over time Online Social Networks (OSNs) have grown exponentially in terms of active users and have now become an influential factor in the formation of public opinions. Due to this, the use of bots and botnets for spreading misinformation on OSNs has become a widespread concern. The biggest example of this was during the 2016 American Presidential Elections, where Russian bots on Twitter pumped out fake news to influence the election results.

Identifying bots and botnets on Twitter is not just based on visual analysis and can require complex statistical methods to score a profile based on multiple features and …

Employee Churn Prediction Using Logistic Regression And Support Vector Machine, Rajendra Maharjan

Master's Projects

It is a challenge for Human Resource (HR) team to retain their existing employees than to hire a new one. For any company, losing their valuable employees is a loss in terms of time, money, productivity, and trust, etc. This loss could be possibly minimized if HR could beforehand find out their potential employees who are planning to quit their job hence, we investigated solving the employee churn problem through the machine learning perspective. We have designed machine learning models using supervised and classification-based algorithms like Logistic Regression and Support Vector Machine (SVM). The models are trained with the IBM …

High Performance Document Store Implementation In Rust, Ishaan Aggarwal

Master's Projects

Databases are a core part of any application which requires persistence of data. The performance of applications involving the use of database systems is directly proportional to how fast their database read-write operations are. The aim of this project was to build a high- performance document store which can support variety of applications which require data storage and retrieval of some kind. This document store can be used as an independently running backend service which can be utilized by search engines, applications which deal with keeping records, etc. We used Rust to make this document store which is fast, robust, …

Using Characters To Narrow Culture Gaps, Xiangyu Han

Theses

There are a lot of different cultures around the world. It is hard for people with various cultural backgrounds to understand each other. Language is the most direct expression of cultural barriers. With the different structures of languages, communication becomes unsmooth. People can get to know each other better if we narrow down the gaps. The research here discusses the possibility of building a connection between language characters through the graphic. This work will use Chinese and English as an experimental. Images and pictures are the most visual information for people to read. And languages are the most direct information …

On The Bookshelf, Susan Dumais

UNH Today Archive

No abstract provided.

“Many Thanks For Your Words”, Dave Moore

UNH Today Archive

No abstract provided.

Hope Is A Discipline, Susan Dumais

UNH Today Archive

No abstract provided.

The Language Of Stem, Robbin Ray

UNH Today Archive

No abstract provided.

Unearthing Great Bay's Past, Rebecca Irelan

UNH Today Archive

No abstract provided.

Going Local, Emma Joyce

UNH Today Archive

No abstract provided.

Rolling Up Our Sleeves, Susan Dumais

UNH Today Archive

No abstract provided.

Panel With Governor Chris Christie And The Honorable Judge Paul Matey, Seton Hall Legislative Journal Sports Law Symposium

Seton Hall Journal of Legislation and Public Policy

No abstract provided.

License To Heal: Understanding A Healthcare Platform Organization As A Multi-Level Surveillant Assemblage, Handan Vicdan, Mar Pérezts, Asım Fuat Fırat

Management Faculty Publications

Platform organizations bring renewed attention to power disparities and risks in the rise of surveillance capitalism. However; such critical accounts provide a partial understanding of the complexity of surveillance phenomena in such shifting socio-technical and digital environments.The findings from a netnographic investigation of a healthcare platform organization, PatientsLikeMe, unravel how platforms become the locus where multi-level flows of surveillance converge, thereby constituting what we identify as a surveillant assemblage. We develop a comprehensive approach for understanding how platforms constitute a dynamic crossroads of micro-, meso- and macro-surveillance phenomena within and beyond the online communities they create.This study highlights this surveillant …

Characterization Of Bacteriophage Targeting Bacillus Licheniformis In Milk Processes And Thermal Stability Of Bacteriophage During Htst Pasteurization, Jeremy Robert Arbon

Theses and Dissertations

An array of Bacillus licheniformis strains were isolated from a commercial powdered milk process. Bacteriophages exhibiting activity against B. licheniformis were isolated from cattle manure and effluent samples destined for a lagoon at a dairy farm. After sequencing, 8 of the 10 phages were found to be novel and genetically differentiated. Transmission electron scanning microscopy (TSEM) was performed. All bacteriophages were of the family Herelleviridae with contractile tail sheaths ranging from 80µm to 150µm and, surprisingly, survived a common fluid milk processing treatment used to inactivate vegetative cells. The survival of the phage after high temperature short time pasteurization of …

Multicenter Randomized Phase Ii Trial Of Atezolizumab With Or Without Cobimetinib In Biliary Tract Cancers, Mark Yarchoan, Andrea Wang-Gillam, Et Al

Open Access Publications

BACKGROUNDMEK inhibitors have limited activity in biliary tract cancers (BTCs) as monotherapy but are hypothesized to enhance responses to programmed death ligand 1 (PD-L1) inhibition.METHODSThis open-label phase II study randomized patients with BTC to atezolizumab (anti-PD-L1) as monotherapy or in combination with cobimetinib (MEK inhibitor). Eligible patients had unresectable BTC with 1 to 2 lines of prior therapy in the metastatic setting, measurable disease, and Eastern Cooperative Oncology Group (ECOG) performance status less than or equal to 1. The primary endpoint was progression-free survival (PFS).RESULTSSeventy-seven patients were randomized and received study therapy. The trial met its primary endpoint, with a …

Investigating Antimicrobial Properties Of Snake Venoms Against B. Cereus, B. Subtilis, E. Coli, And P. Vulgaris, Savannah Elaine Berger

Honors Program Theses and Research Projects

The increasing incidence of antibiotic resistant bacterial infections has provoked the attention of health officials and scientists as a major threat to global public health. Antibiotic resistance is the product of overprescription by doctors, ineffective or shortened dosing by the patient, and more. When a bacterial infection is ineffectively treated as such, persistent pathogenic cells are given the opportunity to proliferate and spread their resistance to other cells. With bacteria utilizing such tools to fight and ultimately resist our current treatment methods, investigation towards the next novel mechanism of inhibition is essential. Venom is of particular interest to many scientists …

The Great Commission: An Exegetical And Theological Study Of Matt 28:16-20 In The Northern Nigeria Context, Vincent K. Sebastine

Seton Hall University Dissertations and Theses (ETDs)

ABSTRACT

Scholars refer to the passage on Matthew 28:16-20 as the “Great Commission”. It concludes the last part of the Gospel of Matthew (26:1-28:20), that is, Jesus’ passion, death and resurrection. In the Great Commission scene – on the mountain in Galilee (Matt 28:16), Jesus speaks to his disciples about his authority, commissions them to make disciples - by baptizing and teaching - and gives them an assurance of his abiding presence. This passage contains several themes – mountain, worship, authority and nations – which relate to the Gospel and other text in the Bible. It is pertinent to note …

Levels Of Influence: How Teacher Self-Efficacy Reflects Individual, School, And Country Level Variables, Rachel B. Goldberg

Seton Hall University Dissertations and Theses (ETDs)

This study investigates relationships between teacher self-efficacy and associated factors not previously studied at an international level. This study used the data gathered through the Programme for International Student Assessment (PISA) assessment conducted in 2018, with an initial sample size of 107,367 participating teachers from 6,128 schools across 19 countries to gain a global perspective regarding the individual and environmental factors that impact teacher self-efficacy. A blocked hierarchical regression model was chosen to support the theoretical structure of the analysis by examining the relationships between three levels of independent variables and teacher self-efficacy. The model predicted over 30 percent of …

Electro-Organic Chemistry: An Alternative Pathway To Handle Redox Organic Reactions, Tiandi Wu

Arts & Sciences Graduate Student Theses and Dissertations

Electrochemistry provides an alternative pathway to handle redox organic reactions, especially for certain chemical process that can be only achieved through electrochemical process. Herein, there research projects are introduced to enrich the whole synthetic community, including an anodic oxidative cyclization studies to develop methodology on heterocyclic ring skeleton constructions, an electroreduction pathway exploration to more effectively obtain hydrazine from nitroso compounds, as well as a study in paired electrolysis process on which both anode and cathode are simultaneously employed to maximize overall atom and energy efficiency. Future directions on these projects are also demonstrated at the end of each chapters..

On Arousal And The Internal Regulation Of Brain Function: Theory And Evidence Across Modalities And Species, Ryan Raut

Arts & Sciences Graduate Student Theses and Dissertations

The brain is an organ. It is subject to the same physiological regulatory processes that engage the rest of the body’s organs, sculpted over hundreds of millions of years to sustain life so effectively. The central message of this thesis is that the holistic functioning of the brain, rather than operating at some level above or independent from these systemic regulatory processes, is deeply related to them. In short, as our limited attention spans might suggest: brain function is internally regulated. I propose that this internal regulation is a primary function of intrinsic brain activity. Chapter 2 provides a theoretical …

Numerical Investigations Of Logic Gates And Transistors In Quantum And Classical Information Processing, Anthony Corbin

McKelvey School of Engineering Graduate Student Theses & Dissertations

The development of numerical analysis techniques for electromagnetics and quantum mechanics problems has dramatically increased the rate of new discoveries. Propelled by the exponential growth of computers over the past decades, numerical software has brought the ability to reliably experiment with new ideas and predict new phenomena, even before the physical realizations of these ideas in the labs. This work will demonstrate the application of this capability by applying numerical analysis techniques to design and analyze new devices. First, a system of optical logic gates using a nonlinear metallodielectric grating is completely designed and simulated using numerical analysis. Second, the …

Defining The Role Of Elastic Fibers In Tendon Mechanics, Jeremy D. Eekhoff

McKelvey School of Engineering Graduate Student Theses & Dissertations

Tendons serve as a linking component of the musculoskeletal system by transferring forces between muscle and bone. As such, the structural proteins of the tendon extracellular matrix are of vital importance for the tissue to function properly and maintain its mechanical integrity. Collagen is the principal constituent of tendon and makes up its aligned hierarchical organization. Other structural proteins, such as elastin, are in comparison understudied and not well understood in relation to tendon function. Elastin, the main component of elastic fibers, has unique mechanical properties including high extensibility, fatigue resistance, and elasticity; these properties are important for elastin-rich tissues …

Mapping Neural Responses Onto Innate And Acquired Behavior: From Insect Olfaction To Realizing A Bio-Hybrid Chemical Recognition System, Rishabh Chandak

McKelvey School of Engineering Graduate Student Theses & Dissertations

In many organisms, the sense of smell, driven by the olfactory system, serves as the primary sensory modality that guides a plethora of behaviors such as foraging for food, finding mates, and evading predators. Using an array of biological sensors, the olfactory system converts volatile chemical inputs from an organism’s environment into well-patterned neural responses that inform downstream motor neurons to drive appropriate behaviors (e.g., moving towards food or away from danger). For many external cues, the elicited neural responses are often determined by the genetic makeup of the organism, which assigns an innate preference, or valence, for these different …

Photoacoustic Imaging Of Colorectal Cancer And Ovarian Cancer, Xiandong Leng

McKelvey School of Engineering Graduate Student Theses & Dissertations

Photoacoustic (PA) imaging is an emerging hybrid imaging technology that uses a short-pulsed laser to excite tissue. The resulting photoacoustic waves are used to image the optical absorption distribution of the tissue, which is directly related to micro-vessel networks and thus to tumor angiogenesis, a key process in tumor growth and metastasis. In this thesis, the acoustic-resolution photoacoustic microscopy (AR-PAM) was first investigated on its role in human colorectal tissue imaging, and the optical-resolution photoacoustic microscopy (OR-PAM) was investigated on its role in human ovarian tissue imaging.Colorectal cancer is the second leading cause of cancer death in the United States. …

Laser Stimulated Dynamic Thermal Imaging System For Tumor Detection, Hongyu Meng

McKelvey School of Engineering Graduate Student Theses & Dissertations

Laser stimulated dynamic thermal imaging system for tumor detectionby Hongyu Meng Doctor of Philosophy in Biomedical Engineering Washington University in St. Louis, 2021 Professor Samuel Achilefu, Chair Recent advances in infrared sensor technology have enabled the rapid application of thermal imaging in materials science, security and medicine. Relying on the infrared characteristics of living systems, thermal imaging has been used to generate individual heat maps, detect inflammation and tumor. As an imaging system, thermal imaging has the advantages of portability, real-time, non-invasive, and non-contact. But the low specificity of thermal imaging hinders its wide clinical application.

Unfortunately, label-free DTI is …

Predicting Patient Outcomes With Machine Learning For Diverse Health Data, Dingwen Li

McKelvey School of Engineering Graduate Student Theses & Dissertations

As digitized clinical and health data become ubiquitous, machine learning techniques have shown promise in predicting various clinical outcomes. In this thesis research, we exploit three types of data including (1) data collected through wearables outside hospitals, (2) electronic health records (EHR) data of inpatient in general hospital wards, (3) intraoperative data collected during surgery. This thesis work investigates machine learning approaches for the diverse clinical and health data with distinctive characteristics and challenges in the context of real-world clinical applications. Specifically, this thesis makes the following contributions to the state of the art of clinical machine learning.

Extracting informative …

Macrophage-Based Immunotherapies For The Treatment Of Multiple Myeloma, Jennifer Sun

McKelvey School of Engineering Graduate Student Theses & Dissertations

Multiple myeloma (MM) is a cancer of plasma cells in the bone marrow (BM) and represents the second most common hematologic malignancy in the world. Despite an array of novel therapy approvals, MM remains to be incurable. Most patients ultimately relapse and become refractory to previous treatments, which lowers the median survival to only 5–15 months. Recently, cancer immunotherapy has gained attention as a promising approach to enhance the body’s natural immune responses to fight cancer. Currently, immunotherapies in MM have largely focused on engaging the T cells; however, many are challenged by insufficient responses, high cost, and/or extensive adverse …

Interfacial Engineering And Photoelectrochemistry Of Patterned Metal/Semiconductor Heterostructures, Che Tan

McKelvey School of Engineering Graduate Student Theses & Dissertations

Photoelectrochemical (PEC) cells enable the conversion of solar energy into storable fuels, which is critical in overcoming the intermittent nature of this largest renewable source. However, the majority of semiconductors used as photoelectrodes in these cells have low conversion efficiencies and/or stabilities. Silicon (Si) is an attractive semiconductor material for photoelectrodes, but the development of efficient Si-based photoanodes is challenging due to their instability in alkaline solutions. Thus, one focus of this dissertation is the design and fabrication of highly stable nickel (Ni)-patterned Si photoanodes through interfacial engineering of the barrier heights. Recently, hot carriers in plasmonic metal nanostructures have …