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University of Massachusetts Amherst

Theses/Dissertations

2019

Articles 61 - 89 of 89

Full-Text Articles in Physical Sciences and Mathematics

Poetry: Identification, Entity Recognition, And Retrieval, John J. Foley Iv Jul 2019

Poetry: Identification, Entity Recognition, And Retrieval, John J. Foley Iv

Doctoral Dissertations

Modern advances in natural language processing (NLP) and information retrieval (IR) provide for the ability to automatically analyze, categorize, process and search textual resources. However, generalizing these approaches remains an open problem: models that appear to understand certain types of data must be re-trained on other domains. Often, models make assumptions about the length, structure, discourse model and vocabulary used by a particular corpus. Trained models can often become biased toward an original dataset, learning that – for example – all capitalized words are names of people or that short documents are more relevant than longer documents. As a result, …

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Multiscale Simulations Of Intrinsically Disordered Proteins, Xiaorong Liu Jul 2019

Multiscale Simulations Of Intrinsically Disordered Proteins, Xiaorong Liu

Doctoral Dissertations

Intrinsically disordered proteins (IDPs) lack stable secondary and/or tertiary structures under physiological conditions. The have now been recognized to play important roles in numerous biological processes, particularly cellular signaling and regulation. Mutation of IDPs are frequently associated with human diseases, such as cancers and neuron degenerative diseases. Therefore, it is important to understand the structure, dynamics, and interactions of IDPs, so as to establish the mechanistic basis of how intrinsic disorder mediates versatile functions and how such mechanisms may fail in human diseases. However, the heterogeneous structural ensembles of IDPs are not amenable to high resolution characterization solely through experimental …

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Design, Synthesis And Study Of Functional Amphiphilic Polymers And Their Applications, Huan He Jul 2019

Design, Synthesis And Study Of Functional Amphiphilic Polymers And Their Applications, Huan He

Doctoral Dissertations

Amphiphilic homopolymers with high densities of functional groups are synthetically challenging. Thiol-yne nucleophilic click reactions have been investigated to introduce multiple functional groups in polymers with high density. An electron deficient alkyne group bearing methacrylate monomer was polymerized using reversible addition−fragmentation chain-transfer (RAFT) polymerization. Subsequently, the electron deficient alkyne group on polymer side chain was readily reacted with a thiol reagent using triethylamine (TEA) as the organocatalyst. This reaction was found to be very efficient under mild conditions. The resultant homopolymer bearing thiol vinyl ether functional groups could perform a second thiol addition with a stronger base, such as triazabicyclodecene(TBD), …

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Methods For Making Policy-Relevant Forecasts Of Infectious Disease Incidence, Stephen A. Lauer Jul 2019

Methods For Making Policy-Relevant Forecasts Of Infectious Disease Incidence, Stephen A. Lauer

Doctoral Dissertations

Infectious diseases place an enormous burden on the people of the developing world and their governments. When, where, and how to allocate resources in order to slow the spread of a virus or deal with the aftermath of an outbreak is often the responsibility of local public health officials. In this thesis, we develop statistical methods for forecasting future incidence of infectious diseases and estimating the effects of interventions designed to reduce future incidence, bearing in mind the needs and concerns of those public health officials. While most infectious disease forecasting models focus on short-term horizons (i.e. weeks or …

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Modification Of 2d Materials Utilizing Functional Polymer Interfacial Layers, Ryan Selhorst Jul 2019

Modification Of 2d Materials Utilizing Functional Polymer Interfacial Layers, Ryan Selhorst

Doctoral Dissertations

This dissertation describes the modification of 2D transition metal dichalcogenides (TMDCs). These materials exhibit unique electronic properties, ranging from metallic to insulating, and can transport either electrons (n-type) or holes (p-type). Polymers containing electronically-active moieties offer a path to control the electronic properties of a 2D material without altering the inherent structure of the semiconductor. This dissertation focuses on the synthesis of polymers bearing chalcogen-rich or zwitterionic moieties to alter the electronic and solution properties of 2D materials. Chapter 2 describes polymers containing sulfur-rich tetrathiafulvalene (TTF) and their effects as electroactive coatings on the TMDC molybdenum disulfide (MoS2). …

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From Optimization To Equilibration: Understanding An Emerging Paradigm In Artificial Intelligence And Machine Learning, Ian Gemp Jul 2019

From Optimization To Equilibration: Understanding An Emerging Paradigm In Artificial Intelligence And Machine Learning, Ian Gemp

Doctoral Dissertations

Many existing machine learning (ML) algorithms cannot be viewed as gradient descent on some single objective. The solution trajectories taken by these algorithms naturally exhibit rotation, sometimes forming cycles, a behavior that is not expected with (full-batch) gradient descent. However, these algorithms can be viewed more generally as solving for the equilibrium of a game with possibly multiple competing objectives. Moreover, some recent ML models, specifically generative adversarial networks (GANs) and its variants, are now explicitly formulated as equilibrium problems. Equilibrium problems present challenges beyond those encountered in optimization such as limit-cycles and chaotic attractors and are able to abstract …

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Hierarchical Belief Spaces For Autonomous Mobile Manipulation, Michael W. Lanighan Jul 2019

Hierarchical Belief Spaces For Autonomous Mobile Manipulation, Michael W. Lanighan

Doctoral Dissertations

Autonomy in robot systems is a valuable attribute that remains an elusive goal. Noisy sensors, stochastic actions, and variation in unstructured environments all lead to unavoidable errors that can be inconsequential or catastrophic depending on the circumstances. Developing techniques capable of mitigating uncertainty at runtime has, therefore, been a significant and challenging focus of the robotics community. The primary contribution of this dissertation is the introduction of a new hierarchical belief space planning architecture to manage uncertainty and solve tasks using a uniform framework. Such an approach provides a means of creating autonomous systems that focus on salient subsets of …

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Eastern Whip-Poor-Will Habitat Associations In Fort Drum, Ny, Kimberly Spiller Jul 2019

Eastern Whip-Poor-Will Habitat Associations In Fort Drum, Ny, Kimberly Spiller

Masters Theses

The eastern whip-poor-will (Antrostomus vociferus: hereafter whip-poor-will) has been declining from historical population levels throughout its range in the northeast. Although whip-poor-wills have been reported to use a variety of habitats, most recent studies have associated whip-poor-wills with open habitat, such as early-successional habitats or forest edges. Population declines of other early-successional bird species have been attributed to the loss of early-successional disturbance-dependent habitats in the northeast, and it has been suggested that habitat loss is a significant factor in whip-poor-will population declines, as well. However, there remain substantial gaps in our understanding of whip-poor-will habitat associations, and …

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The Climatic And Hydrostratigraphic Controls On Brine-To-Freshwater Interface Dynamics In Hyperarid Climates: A 2-D Parametric Groundwater Modeling Study, Sarah Mcknight Jul 2019

The Climatic And Hydrostratigraphic Controls On Brine-To-Freshwater Interface Dynamics In Hyperarid Climates: A 2-D Parametric Groundwater Modeling Study, Sarah Mcknight

Masters Theses

Density dependent flow occurs in areas where high-salinity groundwater interacts with low-salinity groundwater to create a brine-to-freshwater interface that defies common assumptions about groundwater movement. Yet the geologic and hydrologic factors that impact interface dynamics and migration remain poorly defined. With less than 20 mm•yr-1 of precipitation and with an extremely dense (i.e. 1.2 g•cm-3) naturally occurring brine, Chile’s Salar de Atacama (SdA) provides an excellent analog for exploring interface dynamics in other arid regions. Site-specific 2-D models of the interface in the southeastern region of SdA, with interpretations of the hydrostratigraphic framework, provide an analysis for …

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Efficient Probabilistic Reasoning Using Partial State-Space Exploration, Luis Pineda Mar 2019

Efficient Probabilistic Reasoning Using Partial State-Space Exploration, Luis Pineda

Doctoral Dissertations

Planning, namely the ability of an autonomous agent to make decisions leading towards a certain goal, is one of the fundamental components of intelligent behavior. In the face of uncertainty, this problem is typically modeled as a Markov Decision Process (MDP). The MDP framework is highly expressive, and has been used in a variety of applications, such as mobile robots, flow assignment in heterogeneous networks, optimizing software in mobile phones, and aircraft collision avoidance. However, its wide adoption in real-world scenarios is still impaired by the complexity of solving large MDPs. Developing effective ways to tackle this complexity barrier is …

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Bio-Inspired Polymers That Bind And Deliver Protein Cargo, Nicholas D. Posey Mar 2019

Bio-Inspired Polymers That Bind And Deliver Protein Cargo, Nicholas D. Posey

Doctoral Dissertations

Delivering functional proteins and antibodies into cells can allow researchers to probe the intracellular environment, discover new cellular pathways, and pioneer new therapeutics. However, the entry of exogenous, charged molecules, like proteins, into the cell is usually restricted by the membrane, thereby hindering intracellular delivery. Membrane permeable molecules such as cell penetrating peptides (CPPs) and protein transduction domains (PTDs) can be used to bypass the cell membrane and deliver protein into the cell, but these peptides involve iterative and laborious syntheses and are limited in terms of their chemical diversity. This dissertation work overall focuses on the design and synthesis …

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Quantitative Probing Of Vacancies And Ions Dynamics In Electroactive Oxide Materials, Jiaxin Zhu Mar 2019

Quantitative Probing Of Vacancies And Ions Dynamics In Electroactive Oxide Materials, Jiaxin Zhu

Doctoral Dissertations

Oxygen vacancy and ion dynamics in functional oxides are critical factors influencing electrical conductivity and electrochemical activity of oxides assemblies. The recent advancements in deposition and fabrication of oxide heterostructured films with atomic-level precision has led to discovery of intriguing physical properties and new artificial materials. While still under debate, researchers most often attribute these observed behaviors to unique oxygen vacancy distributions in the substrate near heterointerfaces. In electroactive oxides devices such as solid oxide cells (SOCs), oxygen vacancy and ion transport at the triple-phase boundary determines the performance of the device. This complex process motivates numerous remaining questions regarding …

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Enhanced Mass Spectrometric Analysis Of Peptides And Proteins Using Polymeric Reverse Micelles, Mahalia Adelina Corazon Paningbatan Serrano Mar 2019

Enhanced Mass Spectrometric Analysis Of Peptides And Proteins Using Polymeric Reverse Micelles, Mahalia Adelina Corazon Paningbatan Serrano

Doctoral Dissertations

Mass spectrometry (MS) has become a key and indispensable tool in the identification, characterization, and quantitative analysis of proteins owing to its universality, sensitivity, specificity, and its capability for multiplexed detection. Because biological samples containing these protein analytes are almost always complex systems, various techniques are employed in conjunction with MS to fully harness its analytical potential and enhance its detection capabilities. This dissertation explores the use of amphiphilic polymeric reverse micelles in enriching proteins and peptides from complex biological mixtures and in enhancing their mass spectrometric analysis. Fundamental studies that elucidate the molecular basis for the observed MS signal …

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Probing Quantized Excitations And Many-Body Correlations In Transition Metal Dichalcogenides With Optical Spectroscopy, Shao-Yu Chen Mar 2019

Probing Quantized Excitations And Many-Body Correlations In Transition Metal Dichalcogenides With Optical Spectroscopy, Shao-Yu Chen

Doctoral Dissertations

Layered transition metal dichalcogenides (TMDCs) have attracted great interests in recent years due to their physical properties manifested in different polytypes: Hexagonal(H)-TMDC,which is semiconducting, exhibits strong Coulomb interaction and intriguing valleytronic properties; distorted octahedral(T’)-TMDC,which is semi-metallic, is predicted to exhibit rich nontrivial topological physics. In this dissertation,we employ the polarization-resolved micron-Raman/PL spectroscopy to investigate the optical properties of the atomic layer of several polytypes of TMDC. In the first part for polarization-resolved Raman spectroscopy, we study the lattice vibration of both H and T’-TMDC, providing a thorough understanding of the polymorphism of TMDCs. We demonstrate that Raman spectroscopy is a …

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Synthesis And Molecular Transport Studies In Zeolites And Nanoporous Membranes, Vivek Vattipalli Mar 2019

Synthesis And Molecular Transport Studies In Zeolites And Nanoporous Membranes, Vivek Vattipalli

Doctoral Dissertations

The advent of nanoporous materials such as zeolites and nanoporous membranes has provided cost-effective solutions to some of the most pressing problems of the 20th century such as the conversion of crude oil into fuels and valuable chemicals. Hierarchical zeolites and mesoporous inorganic membranes are showing great promise in addressing new problems such as the conversion of biomass into value-added chemicals and development of energy-efficient separation processes. The synthesis and fundamental aspects of molecular transport in these new materials with hierarchical porosities need to be better understood in order to rationally develop them for these desired applications. Pore narrowing …

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Precipitation And Coacervation In Polyelectrolyte-Colloid Systems, Fatih Comert Mar 2019

Precipitation And Coacervation In Polyelectrolyte-Colloid Systems, Fatih Comert

Doctoral Dissertations

Complex coacervation between oppositely charged polyelectrolytes (PEs) and colloids (i.e. micelles and proteins) has increasingly become popular due to the use of these materials in a range of applications including but not limited to personal care, biomaterials, protein purification, and food science. In taking advantage of complex coacervation, which is a liquid-liquid phase separation, precipitation has always represented a problem by introducing inhomogeneities, irreversibility and irreproducible kinetics. Therefore, understanding the dominant factors driving the formation of precipitates is important to control outcomes. In this work, we have performed comparative studies of coacervation and precipitation in model PE-colloid systems to investigate …

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Population Viability And Connectivity Of The Federally Threatened Eastern Indigo Snake In Central Peninsular Florida, Javan Bauder Mar 2019

Population Viability And Connectivity Of The Federally Threatened Eastern Indigo Snake In Central Peninsular Florida, Javan Bauder

Doctoral Dissertations

Understanding the factors influencing the likelihood of persistence of real-world populations requires both an accurate understanding of the traits and behaviors of individuals within those populations (e.g., movement, habitat selection, survival, fecundity, dispersal) but also an understanding of how those traits and behaviors are influenced by landscape features. The federally threatened eastern indigo snake (EIS, Drymarchon couperi) has declined throughout its range primarily due to anthropogenically-induced habitat loss and fragmentation making spatially-explicit assessments of population viability and connectivity essential for understanding its current status and directing future conservation efforts. The primary goal of my dissertation was to understand how …

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Wildfires In The Northeastern United States: Evaluating Fire Occurrence And Risk In The Past, Present, And Future, Daniel R. Miller Mar 2019

Wildfires In The Northeastern United States: Evaluating Fire Occurrence And Risk In The Past, Present, And Future, Daniel R. Miller

Doctoral Dissertations

Climate change is one of the most complex and challenging issues facing the world today. A changing climate will affect humankind in many ways and alter our physical environment, presenting ethical challenges in how we respond. The impact of climate change will likely be exacerbated in heavily populated regions of the planet, such as the Northeastern United States (NEUS). The NEUS is comprised of complex, sprawling urban centers and rural regions, both of which are vital to the economic and cultural character of the region. Furthermore, both urban and rural areas in the NEUS contain communities that have been historically …

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Design And Self-Assembly Of Responsive Scaffolds For Food And Sensing Applications, Uma Sridhar Mar 2019

Design And Self-Assembly Of Responsive Scaffolds For Food And Sensing Applications, Uma Sridhar

Doctoral Dissertations

Developing an understanding of how molecules, materials and complex systems contribute to biological functions is important since the interpretation of such mechanisms paves the way to further the development of materials that replicate natural functions or impart the observed properties to synthetic materials. The self-assembly of stimuli-responsive scaffolds based on micelles, liposomes, hydrogels and thin films has been of considerable interest. These systems need to be endowed with certain design features which influence the self-assembly and the responsiveness of the scaffold when subjected to external stimuli which could be physical, chemical or biological in nature. This kind of insight is …

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Characterization And Manipulation Of The Magnetization Of Nano-Scale Magnetic Structures, Wenming Ju Mar 2019

Characterization And Manipulation Of The Magnetization Of Nano-Scale Magnetic Structures, Wenming Ju

Doctoral Dissertations

Nano-scale magnetic patterned structures and thin films have attracted attention over the past few years due to their unique magnetization distribution and promising application in nonvolatile data storage, magnetic field sensors and spintronic devices. Magnetization states and their switching processes are fundamental investigation subjects of such magnetic systems. This dissertation discusses experimental work and theoretical analysis on investigating the magnetization of these nano-scale magnetic structures and how we can characterize and manipulate the magnetization in order to realize industrial application. The efforts done in this dissertation can be grouped into three topics: First, we focus on whether we can reverse …

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The Non-Linear Dynamics Of Barred Galaxy Evolution In Lcdm, Michael Petersen Mar 2019

The Non-Linear Dynamics Of Barred Galaxy Evolution In Lcdm, Michael Petersen

Doctoral Dissertations

The study of barred galaxy dynamics has had many successes explaining observed phenomena in barred galaxies both locally and distant, including our own Milky Way, a barred galaxy. However, the majority of this knowledge arises from either (a) analytic linear theory, which by definition cannot inform nonlinear processes, or (b) simulations which are subject to an unconstrained host of evolutionary mechanisms, including `real' dynamical processes and `artificial' numerical processes, and are thus difficult to interpret. This work chooses a path which attempts to take the best of both techniques, employing n-body simulations in the Lambda cold dark matter paradigm designed …

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Amphiphilic Assemblies With Responsive Characteristics At Surfaces And Interfaces, Piyachai Khomein Mar 2019

Amphiphilic Assemblies With Responsive Characteristics At Surfaces And Interfaces, Piyachai Khomein

Doctoral Dissertations

Amphiphilic self-assembly has gained a lot of interest in both academic and industrial fields. Amphiphiles have a unique ability to self-assemble in water, providing a range of nanosized materials of various morphologies. Many efforts have been dedicated to developing responsive amphiphilic assemblies by introducing responsive characteristics into the amphiphile building blocks. Responsive assemblies have been utilized in many promising applications such as targeted drug delivery systems, smart sensors, and electronic devices. Here, we reported four different types of responsive assemblies created via the incorporation of different responsive groups either at the material’s surface or interface. To achieve the responsive characteristics …

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Characterization Of The Motion Of Cellulose Synthase Protein Complexes In The Plant Cell Membrane, Nina Zehfroosh Mar 2019

Characterization Of The Motion Of Cellulose Synthase Protein Complexes In The Plant Cell Membrane, Nina Zehfroosh

Doctoral Dissertations

The polysaccharide cellulose is the main component of plant cell walls, so it is the most abundant polymer on Earth. While it is widely used in industry due to its remarkable properties, such as renewability and biodegradability, its biosynthesis is still not well understood. The large transmembrane protein Cellulose Synthase Complex (CSC) is responsible for synthesizing cellulose by polymerizing UDP glucose into the constituent glucan chains of cellulose. In this project, I used variable angle epi-fluorescence microscopy (VAEM) in combination with single-particle tracking to characterize the motion of GFP labeled CSCs in the hypocotyl of Arabidopsis thaliana (A. thaliana …

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Learning With Aggregate Data, Tao Sun Mar 2019

Learning With Aggregate Data, Tao Sun

Doctoral Dissertations

Various real-world applications involve directly dealing with aggregate data. In this work, we study Learning with Aggregate Data from several perspectives and try to address their combinatorial challenges. At first, we study the problem of learning in Collective Graphical Models (CGMs), where only noisy aggregate observations are available. Inference in CGMs is NP- hard and we proposed an approximate inference algorithm. By solving the inference problems, we are empowered to build large-scale bird migration models, and models for human mobility under the differential privacy setting. Secondly, we consider problems given bags of instances and bag-level aggregate supervisions. Specifically, we study …

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Machine Learning Methods For Personalized Health Monitoring Using Wearable Sensors, Annamalai Natarajan Mar 2019

Machine Learning Methods For Personalized Health Monitoring Using Wearable Sensors, Annamalai Natarajan

Doctoral Dissertations

Mobile health is an emerging field that allows for real-time monitoring of individuals between routine clinical visits. Among others it makes it possible to remotely gather health signals, track disease progression and provide just-in-time interventions. Consumer grade wearable sensors can remotely gather health signals and other time series data. While wearable sensors can be readily deployed on individuals, there are significant challenges in converting raw sensor data into actionable insights. In this dissertation, we develop machine learning methods and models for personalized health monitoring using wearables. Specifically, we address three challenges that arise in these settings. First, data gathered from …

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Scalable Data-Driven Modeling And Analytics For Smart Buildings, Srinivasan Iyengar Mar 2019

Scalable Data-Driven Modeling And Analytics For Smart Buildings, Srinivasan Iyengar

Doctoral Dissertations

Buildings account for over 40% of the energy and 75% of the electricity usage. Thus, by reducing our energy footprint in buildings, we can improve our overall energysustainability. Further, the proliferation of networked sensors and IoT devices in recent years have enabled monitoring of buildings to provide data at various granularity. For example, smart plugs monitor appliance level usage inside the house, while solar meters monitor residential rooftop solar installations. Furthermore, smart meters record energy usage at a grid-scale. In this thesis, I argue that data-driven modeling applied to the IoT data from a smart building, at varying granularity, in …

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Insar Simulations For Swot And Dual Frequency Processing For Topographic Measurements, Gerard Masalias Huguet Mar 2019

Insar Simulations For Swot And Dual Frequency Processing For Topographic Measurements, Gerard Masalias Huguet

Masters Theses

In Earth remote sensing precise characterization of the backscatter coefficient is important to extract valuable information about the observed target. A system that eliminates platform motion during near-nadir airborne observations is presented in this thesis, showing an improvement on the accuracy of measurements for a Ka- band scatterometer previously developed at Microwave Remote Sensing Laboratory (MIRSL). These very same results are used to simulate the reflectivity of such targets as seen from a spaceborne radar and estimate height errors based on mission-specific geometry. Finally, data collected from a dual-frequency airborne interferometer com- prised by the Ka-band system and an S-band …

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Root-Driven Weathering Impacts On Mineral-Organic Associations Over Pedogenic Time Scales, Mariela Garcia Arredondo Mar 2019

Root-Driven Weathering Impacts On Mineral-Organic Associations Over Pedogenic Time Scales, Mariela Garcia Arredondo

Masters Theses

Plant roots are critical weathering agents in deep soils, yet the impact of resulting mineral transformations on the vast deep soil carbon (C) reservoir are largely unknown. Root-driven weathering of primary minerals may cause the formation of reactive secondary minerals, which protect mineral-organic associations (MOAs) for centuries or millennia. Conversely, root-driven weathering may also transform secondary minerals, potentially enhancing the bioavailability of C previously protected in MOAs. Here we examined the impact of root-driven weathering on MOAs and their capacity to store C over pedogenic time scales. I compared soil that experienced root-driven weathering, resulting in the formation of discrete …

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Legacy Sediment Controls On Post-Glacial Beaches Of Massachusetts, Alycia Ditroia Mar 2019

Legacy Sediment Controls On Post-Glacial Beaches Of Massachusetts, Alycia Ditroia

Masters Theses

Here we examine seasonal grain-size trends on 18 beaches in the Northeastern US and dispersed along the post-glacial coast of Massachusetts (USA) in order to explore the mechanisms influencing median grain size and slope. Over 800 grain size samples were collected along 200 summer and winter cross-shore beach elevation surveys. Obtained grain size and beach slope data are compared to coastal morphology, sediment source, wave height, and tidal magnitude in order to ascertain controls on beach characteristics. In general, median grain size increases with intertidal beach slope in the study region. However, grain sizes along post-glaciated beaches in the study …

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