Digital Commons Network^™

Degredation Of Organic Pollutants In Flocculated Liquid Digestate Using Photocatalytic Titanate Nanofibers: Mechanism And Response Surface Optimization, Yiting Xiao, Yang Tian, Yuanhang Zhan, Jun Zhu

Biological and Agricultural Engineering Faculty Publications and Presentations

Titanate nanofibers (TNFs) were synthesized using a hydrothermal method and were employed for the first time in this study to photocatalytically degrade organic pollutants found in flocculated liquid digestate of poultry litter. The photocatalytic performance of TNFs, with a bandgap of 3.16 eV, was tested based on degradation of organic pollutants and removal of color. Five combinations of pollutant concentration and pH were examined (0.2 to 1.3 g·L⁻¹ at pH 4 to 10). Central composite design (CCD) and response surface methodology (RSM) were applied in order to optimize the removal rates of volatile fatty acids (VFA) and chemical oxygen …

Alkaline Pretreatment And Air Mixing For Improvement Of Methane Production From Anaerobic Co-Digestion Of Poultry Litter With Wheat Straw, Yuanhang Zhan, Jun Zhu, Yiting Xiao, Leland C. Schrader

Biological and Agricultural Engineering Faculty Publications and Presentations

Alkaline pretreatment (AL) and air mixing (air) both have the potential to improve anaerobic co-digestion (Co-AD) of poultry litter with wheat straw for methane production. In this study, the effects of the combination of AL (pH 12 for 12 h) and air mixing (12 mL·d⁻¹) on the Co-AD process were investigated. The substrate hydrolysis was enhanced by AL, with soluble chemical oxygen demand increased by 4.59 times and volatile fatty acids increased by 5.04 times. The cumulative methane yield in the group of Co-AD by AL integrated with air (Co-(AL + air)), being 287 mL·(g VS_added) …

Host Interactions Of Novel Crassvirales Species Belonging To Multiple Families Infecting Bacterial Host, Bacteroides Cellulosilyticus Wh2host Interactions Of Novel Crassvirales Species Belonging To Multiple Families Infecting Bacterial Host, Bacteroides Cellulosilyticus Wh2, Bhavya Papudeshi, Lindsay Droit, Scott A Handley, David Wang, Et Al.

2020-Current year OA Pubs

Bacteroides, the prominent bacteria in the human gut, play a crucial role in degrading complex polysaccharides. Their abundance is influenced by phages belonging to the

Treatment Preference And Quality Of Life Impact: Ravulizumab Vs Eculizumab For Atypical Hemolytic Uremic Syndrome, Teri J Mauch, Michael R Chladek, Spero Cataland, Shruti Chaturvedi, Bradley P Dixon, Katherine Garlo, Christoph Gasteyger, Anuja Java, Jorge Leguizamo, Lucy Lloyd-Price, Tan P Pham, Tara Symonds, Ioannis Tomazos, Yan Wang

2020-Current year OA Pubs

No abstract provided.

The Effect Of Fibre Cell Remodelling On The Power And Optical Quality Of The Lens, J Rodriguez, Q Tan, H Šikić, L A. Taber, S Bassnett

2020-Current year OA Pubs

Vertebrate eye lenses are uniquely adapted to form a refractive index gradient (GRIN) for improved acuity, and to grow slowly in size despite constant cell proliferation. The mechanisms behind these adaptations remain poorly understood. We hypothesize that cell compaction contributes to both. To test this notion, we examined the relationship between lens size and shape, refractive characteristics and the cross-sectional areas of constituent fibre cells in mice of different ages. We developed a block-face imaging method to visualize cellular cross sections and found that the cross-sectional areas of fibre cells rose and then decreased over time, with the most significant …

Fluorescence-Guided Surgical System Using Holographic Display: From Phantom Studies To Canine Patients, Mebin B. George, Benjamin Lew, Zuodong Liang, Steven Blair, Zhongmin Zhu, Nan Cui, Jamie Ludwig, Mohamed Zayed, Laura Selmic, Viktor Gruev

2020-Current year OA Pubs

SIGNIFICANCE: Holographic display technology is a promising area of research that can lead to significant advancements in cancer surgery. We present the benefits of combining bioinspired multispectral imaging technology with holographic goggles for fluorescence-guided cancer surgery. Through a series of experiments with 43D-printed phantoms, small animal models of cancer, and surgeries on canine patients with head and neck cancer, we showcase the advantages of this holistic approach.

AIM: The aim of our study is to demonstrate the feasibility and potential benefits of utilizing holographic display for fluorescence-guided surgery through a series of experiments involving 3D-printed phantoms and canine patients with …

Apoe Risk Disclosure: A Review Of Positive And Negative Outcome, Stacey Rowcliffe

Dissertations

Two of this century’s most significant healthcare challenges are Alzheimer’s disease and mild cognitive impairment, with 40 million people suffering from the diseases. In fact, a conservative estimate projects that both conditions will double every 20 years until 2050. Alzheimer’s disease involves memory impairment, disorientation, confusion, and various problematic behaviors. Presently, no prevention method or cure has been discovered for Alzheimer’s. Mild cognitive impairment typically includes problems with memory, language, thinking, and judgment beyond those typical of one’s age. Usually, these symptoms do not interfere with daily activities but do not improve and have been linked with a risk of …

Coastal Wave Overtopping: New Nowcast And Monitoring Technologies, Jennifer Brown, Margaret Yelland, Gerd Masselink, Tim Poate, Kit Stokes, Robin Pascal, David Jones, Christopher Cardwell, John Walk, Barry Martin, Peter Ganderton, Louise Darroch, Tom Gardner, Tom Gardner

School of Biological and Marine Sciences

It is projected that global mean sea level could rise up to 1 m this century with a strong regional pattern. It is estimated that 20% of England's coastal defenses could fail under just half this rise. Ambitious climate mitigation and adaptation plans may protect 400,000 - 500,000 people, but flood and coastal erosion risks cannot be fully eliminated. Building coastal climate resilience requires accurate wave overtopping prediction tools and nowcast information to prepare for and respond to coastal hazards. In Dawlish, SW England, a new monitoring system to measure concurrent beach level and wave overtopping conditions over a 1-year …

The Effects Of The Covid-19 Pandemic On International Students, A. Faruk Levent, Abdussamet Aktaş

Journal of Comparative & International Higher Education

No abstract provided.

Predicting University Campus Parking Demand Using Machine Learning Models, Sohil Paudel, Matthew Vechione, Okan Gurbuz

Civil Engineering Faculty Publications and Presentations

Parking demand at university campuses has been an issue for decades and is gradually increasing each year. With limited capacity, space, and funds to expand parking facilities, there is a dire need to better understand parking behavior on a university campus so that universities can better utilize the limited resources available. One methodology that has been used by Metropolitan Planning Organizations to predict traveler behavior is known as travel demand modeling, where the most common modeling technique is a four-step procedure that utilizes socioeconomic data to predict current and future traffic volumes in a network (e.g., a city). This study …

Trauma-Informed Practices: A Whole School Policy Framework, Nicole C. Reddig, Janet Vanlone

Faculty Journal Articles

State leaders should take action to ensure that teachers are prepared to address the needs of children who have experienced traumatic events.

Conditionally Automated Vehicles As A Safe And Productive Workspace, Nabil Al Nahin Ch

Doctoral Dissertations

Future automated vehicles will allow drivers to reclaim some of their driving time and perform personal or work-related activities while the car is in automated driving mode. However, traditional automotive user interfaces (UIs) are not designed to support such activities. For a vehicle to be considered a safe and productive workspace, we will have to explore how drivers can interact with emerging UIs in a car to engage in complex non-driving related tasks (NDRTs) and safely resume driving when needed. In the second chapter of this thesis, we present a user-elicitation study where we investigate how drivers would want to …

Acoustic Waveform Optimization For Three-Dimensional Object Geometries, Justin Ng

Doctoral Dissertations

In recent years, deep learning (DL) has become an increasingly important tool for many different types of classification, identification, and related problems including inverse radar and sonar applications. This thesis studies the degree to which radar and sonar systems may be optimized for DL algorithms in a theoretical setting. Most of the current existing literature found on using DL involve solving a full inverse scattering problem (ISP), that is to determine the properties and/or geometry of the scatter from nearly complete measurements of the scattered field. Methods suitable for use in two-dimensional space have been proposed and demonstrated with varying …

Non-Equilibrium Multiphase Particle Morphologies: Synthesis, Functionalization & Modeling, Yung-Chun Lin

Doctoral Dissertations

Waterborne technology highlights the advantage of using water as the dispersed media to replace the need for organic solvents. Emulsion polymerization is one of the most important techniques to produce functional polymer colloids of industrial importance. Besides the choice of monomers in the reaction, composite particle morphology significantly influences the mechanical properties of the materials in the applications of architectural coatings, adhesives, printing inks, and impact resistant plastics. Generally, emulsion polymerization produces spherical particles in the presence of water due to surface tension forces. In seeded emulsion polymerization, composite particles containing two incompatible phases can lead to various anomalous structures …

Resiliency And Sustainability Of Drinking Water Systems Under Long Term And Emergency Contamination, Taler S. Bixler

Doctoral Dissertations

This PhD dissertation is dedicated to the understanding and enhancement of the sustainability of public drinking water systems, addressing both emerging contaminants and emergency contamination events. A key focus is placed on comprehending the tradeoffs encompassing public health, economic, and environmental aspects associated with different actions aimed at improving system resiliency. By providing drinking water authorities with the tools and methodologies to evaluate available options, this research aims to empower decision-makers in their efforts to strengthen their drinking water systems against a myriad of threats.

This dissertation commences by investigating the tradeoffs related to the treatment of PFAS-contaminated water. The …

Black Phosphorus/Carbon Nitride Heterojunctions For Solar Fuel Generation, Nicholas Pollak

Doctoral Dissertations

Solar fuel generation has garnered attention in recent years as a renewable source for syngas (hydrogen and carbon monoxide) evolution. Difficulty in designing one-pot systems that can generate tunable ratios of hydrogen and carbon monoxide gases has persisted. In this thesis, a photocatalytic system for the generation of syngas under simulated solar irradiance is described that satisfies these challenges using black phosphorus (BP) and carbon nitride loaded with Co2+ active sites (Co@C3N4) to form a heterojunction. This thesis will present the ability to tune the syngas ratio by controlling the %wt of BP in the heterojunction. The oxidative power of …

Affecting Martensitic Transformation And Residual Stress Development Through Stress Superposition And Incremental Forming, Elizabeth Marie Mamros

Doctoral Dissertations

Stress superposition is defined as the incorporation of additional stresses into an existing manufacturing process during a single operation. In this thesis, experiments, simulations, and modeling of stress superposition in sheet metal deformation were investigated. Stress superposition can be used in manufacturing to reduce forming forces, increase material formability, and tailor the final part properties of products according to their intended applications, creating so-called functionally graded materials. Austenitic stainless steels (SS) were the focus due to their susceptibility to strain-induced phase transformation from austenite to martensite based on the stress state applied. In the first chapter, a novel cruciform specimen …

Robust Behavior Cloning For Multi-Step Sequential Task Learning By Robots, Mostafa Abdallah Mohamed Hussein

Doctoral Dissertations

This research is about learning high-level policies of multi-step sequential (MSS) tasks – such as activities of daily living – from demonstrations in a sample efficient manner. This research does not assume access to a simulator or an expert to provide more demonstrations. Learning a task policy in such a setting using state-of-the-art end-to-end approaches is sample inefficient due to a reliance on deep learning frameworks, which are known to require a large amount of data. Besides that, most imitation learning frameworks in robotics assume that a domain expert’s demonstration always contains a correct way of doing the task. Despite …

Physiological And Biochemical Analysis Of The Nitrogen Metabolism And Lead Treatment In Hybrid Poplar Clone Nm6 (Populus Nigra L. X P. Maximowiczii A. Henry), Medini Weerasinghe

Doctoral Dissertations

ABSTRACTThe first objective of my Ph.D. research was focused on understanding the reasoning for changes observed in the physiology and metabolism of the poplar plants in response to foliar application of nitrogen. Increased use of nitrogen in the soil in agriculture, in the form of nitrogen fertilizers, has helped to promote high-yield agriculture over the past decades. However, a large fraction of nitrogen applied to croplands in the form of fertilizer and manure ends up entering the freshwater system causing degradation of the water quality and eutrophication of groundwater, rivers, lakes, and coastal and marine ecosystems. Chemical fertilization is also …

An Analysis Of Fine-Scale Structure Within Ion Upwelling Processes, Niharika Godbole

Doctoral Dissertations

This dissertation showcases the projects that I have been involved with since I joined the Magnetosphere-Ionosphere Research Laboratory (MIRL) at the University of New Hampshire (UNH) in August 2017, under the guidance of my research advisor, Marc Lessard. Chapters 1, 2, and 3 of this dissertation are intended to provide the science background necessary to discuss the research projects presented in Chapters 4, 5, and 6 respectively.

The system that this dissertation addresses is complex and interconnected. In the most general sense, the Sun interacts with the Earth through the highly conductive, magnetized plasma that it emits, which directly shapes …

Building An Open Source Toolkit For Integrating Multiple Datasets For Seafloor Characterization And Habitat Mapping, Massimo Di Stefano

Doctoral Dissertations

Characterizing and mapping the seafloor and its features requires collecting and analyzing datasets of varied types and scales. Remotely-sensed data can increase our understanding of seafloor processes by providing insight into seabed geomorphology, substrate characteristics, etc., over large areas. Collecting direct observations or physical samples of the seafloor, also known as ground-truth data, holds the key to interpreting and validating remote sensing data. In this thesis, the case is made that by concurrently analyzing some or all of these datasets, knowledge about seafloor processes is gained more efficiently and I develop tools for seafloor habitat mapping.

In Paper I, I …

Securing Approximate Computing Systems, Pruthvy Yellu

Doctoral Dissertations

Approximate Computing (AC) techniques have been leveraged to improve computing performance and energy efficiency with minor degradation in accuracy. Different than conventional computing, AC allows the computation to deviate from the reference or deterministic execution behavior. Thus, AC has emerged as a new paradigm of computing systems, especially for the applications such as image processing, audio recognition, and artificial intelligence. The majority of research efforts on approximate computing focus on new approximation mechanism design and implementation, rather than examining the security vulnerabilities of AC systems. To fill this gap, we first analyze the potential security threats induced by the AC …

Non-Covalent Anchoring Strategies For Hybrid Electrocatalytic Systems, Peiyuan Zhao

Doctoral Dissertations

Global climate change, induced by increasing anthropogenic emission of heat trapping gases, has drawn great attention from scientists in recent decades. Reducing carbon emissions by decreasing the usage of fossil fuels and applying low/no carbon energy sources is a promising solution for a sustainable future. Electrocatalytic proton reduction to form hydrogen, using green electricity is a practical starting point.

Recent examples of heterogenized molecular catalysts have shown promise but stable anchoring to electrode surfaces is still a challenge. Heterogeneous electrocatalysis shows much more stability, but these systems lack the selectivity provided by a molecular system when more challenging reactions are …

Nonlinear System Identification And Motion Control System Design For Uncrewed Underwater Vehicles, Oguzhan Oruc

Doctoral Dissertations

Modeling and control of marine robotics have become a conspicuous research topic in the controlengineering community in the last decade. Remotely operated underwater vehicles (ROVs) are deployed and used in commercial, military, and scientific areas for many different purposes such as inspection and maintenance of submerged infrastructure, underwater surveillance/maritime, security, and ocean floor mapping most of which cannot be achieved effectively by human operators. However, to be able to operate these vehicles, an effective controller must be obtained, and an accurate dynamic mathematical model of the vehicle from which to design the controller is necessary. Although conventional modeling approaches are …

Brigham-Kanner Property Rights Journal, Volume 12, William & Mary Law School

Brigham-Kanner Property Rights Journal

The Importance of Property Rights

September 29-30, 2022

Panel 1: The Importance of Property Rights: A Tribute to James S. Burling

Panel 3: Roundtable: Emerging Issues in Takings and Property Rights Litigation

Featured Authors (Burling, Kanner, and Valois)

Castor Canadensis Fall 2023, Jedediah Smith Society

Castor Canadensis - Jedediah Smith Society

Newsletter of the Jedediah Smith Society

Smart Bottle Firmware And Wireless Charging Integration, Khanh Thy Chau Le, Justin Truong

Electrical Engineering

In the past 3 decades, there has been a 60% increase of infants under the age of 2 who are considered obese [1]. The California Polytechnic State University, San Luis Obispo Child Development Department wants to research parents feeding habits and the Smart Bottle tool was built to aid this effort in finding the relationship between infant obesity and parent feeding habits. The Smart Bottle is a baby bottle meter attached to the bottom of the bottle. The goal of this device is to analyze the state of the feeding the parent is currently at and measure the amount of …

Evaluating Growth Patterns Of Beech Bark Disease Fungal Agents Neonectria Faginata And Neonectria Ditissima Under Different In Vitro Conditions, Santiago Rivera Reyes

Master's Theses and Capstones

The co –occurring fungal species Neonectria ditissima and Neonectria faginata are major canker-forming pathogens in the beech bark disease (BBD) systems which has caused restructuring of forests throughout northeastern North America. The role of nutrients in structuring microbial community interactions has been studied in BBD forests stands but has yet to be fully understood and examined under specific in-vitro conditions. This study aimed to investigate how nitrogen, phosphorus, and temperature levels influence the growth, reproduction, and competitive hierarchies between N. ditissima and N. faginata. We performed in-vitro assays where species were first individually and then jointly grown under different concentrations …

Comunidades En Torno Al Metaverso En X/Twitter, Gema Bonales-Daimiel, Sheila Liberal Ormaechea, Raquel Ávila Muñoz

Artículos científicos

La creciente popularidad del metaverso ligado a la industria del entretenimiento ha llevado a la aparición de influencers que han logrado un aumento significativo en su base de seguidores en X/Twitter. El presente estudio aplica una metodología de investigación mixta sobre las interacciones en X/Twitter. La principal conclusión es que está creciendo muy rápidamente, principalmente en comunidades específicas de usuarios con conocimientos avanzados y muy especializados, como los entusiastas de las criptomonedas o los aficionados a los juegos en línea. Para que el metaverso se convierta en un fenómeno de masas, deberá simplificar su experiencia de uso

Creating Sociological Knowledge And The Next Generation Of Sociological Thinkers In Faculty-Directed Research With Undergraduate Research Assistants, Molly M. King, Megan K. Imai

Sociology

Undergraduate research in sociology departments provides opportunities for student engagement and faculty development. Although undergraduate research in the natural and physical sciences and graduate mentoring have been extensively studied, there are few systematic studies of the process of extracurricular undergraduate research in sociology from the perspective of both faculty and students. We carried out semi-structured qualitative interviews with 23 faculty and undergraduate research assistants (RAs). Our results outline the dynamics of faculty-directed research collaborations in sociology departments. We first detail the tasks regularly performed by undergraduate RAs and then describe the development of RA-faculty partnerships, including hiring and training. Faculty-RA …