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Bayesian Model Testing Of Models For Ellipsoidal Variation On Stars Due To Hot Jupiters, Anthony Gai Jan 2016

Bayesian Model Testing Of Models For Ellipsoidal Variation On Stars Due To Hot Jupiters, Anthony Gai

Legacy Theses & Dissertations (2009 - 2024)

A massive planet closely orbiting its host star creates tidal forces that distort the typically spherical stellar surface. These distortions, known as ellipsoidal variations, result in variations in the photometric flux emitted by the star, which can be detected by the Kepler Space Telescope. Currently, there exist several models describing such variations and their effect on the photometric fux [1] [2] [3] [4]. By using Bayesian model testing in conjunction with the Bayesian-based exoplanet characterization software package EXONEST [4] [5] [6], the most probable representation for ellipsoidal variations was determined for synthetic data and two systems with confirmed hot Jupiter …


Network Pruning For Scaling Dynamic Community Detection, Gaurav Ghosh Jan 2016

Network Pruning For Scaling Dynamic Community Detection, Gaurav Ghosh

Legacy Theses & Dissertations (2009 - 2024)

Local community detection is an important tool for the analysis of networks of different genres. The goal is to identify only the best communities in a network instance as opposed to computing a partitioning of the whole network. The majority of the work on local community detection has focused on static networks with less attention on networks that evolve over time. Given a trace of temporal interaction among nodes in a network, how can we detect a period of high interaction for a specific group of nodes? To help temporal community detection with the need to search in the time …


The Network Average Gust Factor, Its Measurement And Environmental Controls, And Role In Gust Forecasting, Alexander Austin Gallagher Jan 2016

The Network Average Gust Factor, Its Measurement And Environmental Controls, And Role In Gust Forecasting, Alexander Austin Gallagher

Legacy Theses & Dissertations (2009 - 2024)

There exists a strong, well documented linear relationship between network averaged sustained (or mean) wind and gust speeds within the San Diego Gas and Electric (SDGE) mesonet that is characterized by the slope of the linear regression between the two known as the network average gust factor (GF). The network average GF potentially contains information on the average obstruction of the stations within the network and when paired with numerical model output, may be used for gust prediction. Using the network average GF for gust prediction can also result in the correction of biases due to poorly resolved terrain or …


Degradation And Exciton Energy Transfer Studies In Single-Walled Carbon Nanotube Bundles, Abhishek Gottipati Jan 2016

Degradation And Exciton Energy Transfer Studies In Single-Walled Carbon Nanotube Bundles, Abhishek Gottipati

Legacy Theses & Dissertations (2009 - 2024)

Single walled carbon nanotubes (SWNTs) due to their unique optical behavior, large surface area, robust mechanical strength and electrical properties make them one of the ideal candidates for sensing and opto-electronic applications. In this work, we explore the energy transfer (exciton energy transfer-EET) phenomena occurring between nanotubes in bundles, using resonance Raman spectroscopy.


Application Of Encoded Microparticles Fabricated By Standard Lithography On Multiplexed Bioassay, Muhan He Jan 2016

Application Of Encoded Microparticles Fabricated By Standard Lithography On Multiplexed Bioassay, Muhan He

Legacy Theses & Dissertations (2009 - 2024)

Suspension microarray, has become a popular candidate for multiplexed bioassay since its advent. Unlike traditional planar microarray, suspension microarray permits the probes suspended in aqueous solution while keeping their addresses, and possesses many advantages such as large available binding surface, rapid reaction rate, high multiplexing ability, and high sensitivity and specificity. Photolithography, the technology widely utilized for production of abundant microparticles as carrier in suspension microarray, was investigated by many researchers. However, there was still not a mature, efficient method to produce microparticles with low background, easily recognized identity and good hybridization capacity. To address those issues, we developed a …


Soil Properties Affect Establishment Of Invasive Species, Celastrus Orbiculatus, In A Lower Hudson River Riparian Ecosystem, Shabana Hoosein Hoosein Jan 2016

Soil Properties Affect Establishment Of Invasive Species, Celastrus Orbiculatus, In A Lower Hudson River Riparian Ecosystem, Shabana Hoosein Hoosein

Legacy Theses & Dissertations (2009 - 2024)

The Hudson River Estuary has been colonized by numerous terrestrial invasive plant species, due in part to its history of anthropogenic and natural disturbance riparian dynamics. This study investigates the spatial patterns of a widespread invasion by Oriental (or Asiatic) bittersweet (Celastrus orbiculatus Thunb.) in Schodack Island State Park, Rensselaer and Columbia Counties. The Park is home to rare species and communities, several of which are threatened by the encroachment of bittersweet. Bittersweet populations were mapped and surveyed on a fixed grid throughout the island, to determine distribution patterns. Stem densities were approximately 50% higher in sites with dredged material …


Examination Of Water Vapor Characteristics During The 2013 Colorado Flood, Hannah Kristine Huelsing Jan 2016

Examination Of Water Vapor Characteristics During The 2013 Colorado Flood, Hannah Kristine Huelsing

Legacy Theses & Dissertations (2009 - 2024)

During September 9-16, 2013, the Front Range region of Colorado experienced heavy rainfall which resulted in severe flooding. Precipitation totals during the event exceeded 450mm in Boulder, Colorado, 9 lives were lost, and damages to public and private properties were estimated to be over $2 billion. This study analyzes the characteristics of water vapor surrounding the event, including the abnormality of total column water vapor, the sources of moisture, and the relationship between water vapor and precipitation characteristics. It was found that the atmosphere was very near saturation during the duration of the event and monthly-averaged precipitable water (PW) was …


Synchronous Subgraphs In Networks, Navita Jain Jan 2016

Synchronous Subgraphs In Networks, Navita Jain

Legacy Theses & Dissertations (2009 - 2024)

Community detection is a central problem in network analysis. The majority of existing work defines communities as subsets of nodes that are structurally well-connected and isolated from the rest of the network. Apart from their underlying connectivity, nodes in real-world networks exhibit temporal activity: user posts in social networks, browsing activity on web pages and neuron activations in brain networks to name a few. While edges encode potential for community interactions, participation in the community can be quantified by synchronized member activity. Given both the network structure and individual node activity, how can we detect communities that are both well-connected …


Development Of Integrated Tio₂ On Carburized Si Nanowires As A Catalyst/Support Structure For Alkaline Fuel Cells, Adam Lemke Jan 2016

Development Of Integrated Tio₂ On Carburized Si Nanowires As A Catalyst/Support Structure For Alkaline Fuel Cells, Adam Lemke

Legacy Theses & Dissertations (2009 - 2024)

Due to a combination of environmental and economic motivations, there is a strong impetus to transition away from fossil fuels towards renewable sources of energy. Critical to achieving this goal will be technologies that allow for the storage and transmission of energy derived from renewable sources. Hydrogen fuel cells may play a significant role in making this a reality, allowing for the use of hydrogen as a non-carbon based fuel, in particular for vehicle applications. Hydrogen fuel cells directly convert chemical energy into electrical energy, with only water vapor and heat as waste products.


Development Of Direct Analysis In Real Time-High Resolution Mass Spectrometry (Dart-Hrms) And Statistical Analysis Tools For The Identification And Classification Of Psychoactive Plant Drugs, Ashton Danielle Lesiak Jan 2016

Development Of Direct Analysis In Real Time-High Resolution Mass Spectrometry (Dart-Hrms) And Statistical Analysis Tools For The Identification And Classification Of Psychoactive Plant Drugs, Ashton Danielle Lesiak

Legacy Theses & Dissertations (2009 - 2024)

In current forensic testing, a new pattern is emerging where the drugs that are submitted to crime labs for analysis are no longer restricted to well-characterized substances such as cocaine, heroin and tetrahydrocannabinol (THC). The appearance of new psychoactive substances (NPS) in forensic laboratories, including synthetic alternatives to scheduled substances and plant-based psychotropics, has highlighted issues that traditional analytical methods such as gas chromatography- and liquid chromatography-mass spectrometry impose in the characterization of these samples. These can include lengthy extractions, derivatization steps, pH adjustments and/or a host of other procedures. Since the creation of legislation to address the use of …


Structured Summarization Of Multi-Party Conversations, Ching-Sheng Lin Jan 2016

Structured Summarization Of Multi-Party Conversations, Ching-Sheng Lin

Legacy Theses & Dissertations (2009 - 2024)

Automatic summarization is the task of creating a set of short and concise sentences that capture the content of the original source material. Summaries should retain only the most relevant content of the source, while suppressing secondary and redundant information. Most existing approaches to automatic summarization have been applied to narrative documents such as news, reports, and technical documents. Relatively few techniques were proposed for summarizing meetings and other forms of interactive content.


The Use Of Ion Mobility Spectrometry-Mass Spectrometry For The Structural Elucidation Of Progressively Larger Nucleic Acids, Jennifer Lynn Lippens Jan 2016

The Use Of Ion Mobility Spectrometry-Mass Spectrometry For The Structural Elucidation Of Progressively Larger Nucleic Acids, Jennifer Lynn Lippens

Legacy Theses & Dissertations (2009 - 2024)

The biomedical community and pharmaceutical industry have come to rely in ever


Chilean Coastal Orographic Precipitation Experiment : A Tale Of Two Rain Regimes, Adam Massmann Jan 2016

Chilean Coastal Orographic Precipitation Experiment : A Tale Of Two Rain Regimes, Adam Massmann

Legacy Theses & Dissertations (2009 - 2024)

The Chilean Coastal Orographic Precipitation Experiment Pilot Project (CCOPE-2015) was an exploratory field campaign to better understand the mechanisms of orographic precipitation enhancement in the Nahuelbuta Mountains of Southern Chile (38 deg. S.). Observations collected include: (1) surface rainfall from a network of 10 data logging rain gauges, (2) vertical precipitation profiles from a pair of K-band Micro Rain Radars, (3) rain drop size distributions from an optical disdrometer, (4) upstream wind and thermodynamic profiles from radiosonde launches, and (5) aerosol number concentration and size distribution measurements from a condensation particle counter and an ultra-high sensitivity aerosol spectrometer.


Development Of Iii-Sb Based Technologies For P-Channel Mosfet In Cmos Applications, Shailesh Kumar Madisetti Jan 2016

Development Of Iii-Sb Based Technologies For P-Channel Mosfet In Cmos Applications, Shailesh Kumar Madisetti

Legacy Theses & Dissertations (2009 - 2024)

The continuous scaling of silicon CMOS predicts the end of roadmap due to the difficulties such as that arise from electrostatic integrity, design complexities, and power dissipation. These fundamental and practical limitations bring the need for innovative design architectures or alternate materials with higher carrier transport than current Si based materials. New device designs such as multigate/gate-all-around architectures improve electrostatics while alternate materials like III-Vs such as III-As for electrons and III-Sbs for holes increase operational speed, lower power dissipation and thereby improve performance of the transistors due to their low effective mass and faster transport properties. Further, application of …


Magnetoresistance Of A Low-K Dielectric, Brian Thomas Mcgowan Jan 2016

Magnetoresistance Of A Low-K Dielectric, Brian Thomas Mcgowan

Legacy Theses & Dissertations (2009 - 2024)

Low-k dielectrics have been incorporated into advanced computer chip technologies as a part of the continuous effort to improve computer chip performance. One drawback associated with the implementation of low-k dielectrics is the large leakage current which conducts through the material, relative to silica. Another drawback is that the breakdown voltage of low-k dielectrics is low, relative to silica [1]. This low breakdown voltage makes accurate reliability assessment of the failure mode time dependent dielectric breakdown (TDDB) in low-k dielectrics critical for the successful implementation of these materials. The accuracy with which one can assess this reliability is currently a …


Bayesian Signal Detection And Source Separation In Simulated Brain Computer Interface Systems, Muhammad Asim Mubeen Jan 2016

Bayesian Signal Detection And Source Separation In Simulated Brain Computer Interface Systems, Muhammad Asim Mubeen

Legacy Theses & Dissertations (2009 - 2024)

The problems of signal detection and source separation are important in many fields of science and engineering. In many cases, a target signal needs to be detected in real time and is contaminated by noise. Sometimes the level of noise is on the order of the signal itself. The real time detection of a target signal is of key importance in problems such as the brain computer interface systems. In brain computer interface systems, the neural activity (electric signals) of the brain is detected using sensors (electrodes) on the surface of the brain or the scalp. This signal is contaminated …


Efficient Execution Of Top-K Closeness Centrality Queries, Paul W. Olsen Jan 2016

Efficient Execution Of Top-K Closeness Centrality Queries, Paul W. Olsen

Legacy Theses & Dissertations (2009 - 2024)

Many of today's applications can benefit from the discovery of the most central entities in real-world networks.


Swan Classes And Realisable Classes For Integral Group Rings Over Finite Cyclic Groups, Ian Allen Parnett Jan 2016

Swan Classes And Realisable Classes For Integral Group Rings Over Finite Cyclic Groups, Ian Allen Parnett

Legacy Theses & Dissertations (2009 - 2024)

Let $K$ be a number field and let $\mathcal{O}_{K}$ be its ring of integers. Let $L/K$ be a tame, cyclic, Kummer extension of number fields, whose Galois group is denoted by $G$. In this work we study the intersection of the Swan subgroup, $T(\mathcal{O}_{K}G)$, and the realisable subgroup, $R(\mathcal{O}_{K}G)$, of the class group, $Cl(\mathcal{O}_{K}G)$, of the group ring $\mathcal{O}_{K}G$. By modifying techniques of Del Corso and Rossi and extending previous results obtained by Replogle, we establish when a realisable class is in fact a Swan class by finding a normal integral basis of a \textit{twisted} ring $t\mathcal{O}_{L}+\mathcal{O}_{K}$, where $\mathcal{O}_{L}$ is …


Fine Particulate Air Pollution In Saudi Arabia : Implications For Cardiopulmonary Morbidity, Shedrack Rujooga Nayebare Jan 2016

Fine Particulate Air Pollution In Saudi Arabia : Implications For Cardiopulmonary Morbidity, Shedrack Rujooga Nayebare

Legacy Theses & Dissertations (2009 - 2024)

Fine particulate (PM2.5) air pollution is a major issue in Saudi Arabia. Though the health effects of exposure to PM2.5 have been extensively studied in developed countries of Europe and North America, this research is yet to be done in developing countries of Africa, some parts of Asia and the Middle East including Saudi Arabia. This is the first comprehensive assessment of PM2.5 air pollution in Saudi Arabia describing the major emission sources as well as assessing the association of daily exposures to PM2.5 and its chemical constituents with cardiopulmonary morbidity.


On Combinatorial Formulas For Non-Symmetric Macdonald Polynomials, Kevin Ramer Jan 2016

On Combinatorial Formulas For Non-Symmetric Macdonald Polynomials, Kevin Ramer

Legacy Theses & Dissertations (2009 - 2024)

In 1988, Macdonald introduced two remarkable families of polynomials which bear his name. The first family is the symmetric Macdonald polynomials, which generalize the irreducible characters of semisimple Lie algebras. There are two-well known combinatorial formulas for the symmetric Macdonald polynomials — the Haglund-Haiman-Loehr formula, expressed in terms of certain tableaux but only defined in Lie type A, and the Ram-Yip formula, expressed in terms of alcove paths and defined in all Lie types. The connection between these two formulas has been established by Lenart.


Understanding The Dependence Of Radiative Feedbacks And Clouds On The Spatial Structure Of Ocean Heat Uptake, Lance Rayborn Jan 2016

Understanding The Dependence Of Radiative Feedbacks And Clouds On The Spatial Structure Of Ocean Heat Uptake, Lance Rayborn

Legacy Theses & Dissertations (2009 - 2024)

Ocean heat uptake and radiative forcing are important for understanding transient climate change. Differences in efficacy of ocean heat uptake (suppression of surface warming per unit energy flux into the deep oceans relative to CO2 forcing) account for a substantial fraction of the spread in transient warming between models. Rose et al. (2014) studied the dependence of efficacy on the spatial pattern of ocean heat uptake in an ensemble of aquaplanet simulations with prescribed ocean heat uptake, and found large differences in model responses to high versus low latitude uptake. This study accurately quantifies these model responses through the use …


Mathematical Foundations Of Sentiment Classification : A Probabilistic Approach, Syed Shahzad Raza Jan 2016

Mathematical Foundations Of Sentiment Classification : A Probabilistic Approach, Syed Shahzad Raza

Legacy Theses & Dissertations (2009 - 2024)

This thesis is an introduction to the mathematical formalization of sentiment classification. It presents two popular probabilistic machine learning models to classify tweets downloaded from Twitter during the US Election Period, 2016. The thesis analyses accuracy of the two classification algorithms used. Namely, Multinomial Naïve Bayes and Bernoulli Naïve Bayes algorithms. Supervised learning approaches implemented in this thesis use approximately 600 manually labeled tweets containing information regarding the US presidential candidates. It is shown with 80% accuracy that majority of twitter users spoke in favor of Donald Trump before and after the presidential election through their tweets. We also discuss …


The Detection And Characterization Of Extrasolar Planets, Zachary Richards Jan 2016

The Detection And Characterization Of Extrasolar Planets, Zachary Richards

Legacy Theses & Dissertations (2009 - 2024)

The study of extra-solar planets (exoplanets) is a rapidly expanding field, which aims to detect, characterize, and understand how other planetary systems form and behave. Observing an exoplanet transit its host star allows us to detect the exoplanet in the light curve. As an exoplanet transits, there will be a dip in the total flux (light per unit area) of the host star visible in the light curve. While observing an exoplanet transit, several photometric effects may influence the light curve. We consider the following photometric effects: reflected light, Doppler boosting (beaming), thermal emission, and ellipsoidal variation. This study relies …


Hydroclimate Changes In The South-Central Great Plains Of The United States : A Synoptic Approach, Pawel Slaski Jan 2016

Hydroclimate Changes In The South-Central Great Plains Of The United States : A Synoptic Approach, Pawel Slaski

Legacy Theses & Dissertations (2009 - 2024)

Hydroclimate changes over the Southern Central Great Plains (SCGP) of the United States have been occurring throughout the last century. These changes have had a major impact on the local ecosystems, agriculture, and human society in the region by, e.g., producing a higher frequency of drought over the last century. Climate models project further increases of drought in the 21st century over this region under increasing greenhouse gases. This study analyzes climate model simulations to examine changes in synoptic conditions associated with the projected drought increases over the SCGP. Synoptically, mesoscale convective complexes (MCCs) produce a large portion of the …


An Investigation Of The Uptake, Distribution, And Accumulation Of Lead And Other Trace Elements In Caprine Brain Tissues Using Analytical Atomic Spectrometry, Amy Joanna Steuerwald Jan 2016

An Investigation Of The Uptake, Distribution, And Accumulation Of Lead And Other Trace Elements In Caprine Brain Tissues Using Analytical Atomic Spectrometry, Amy Joanna Steuerwald

Legacy Theses & Dissertations (2009 - 2024)

Exposure to toxic elements and dysregulation of essential elements have been implicated in neurodegenerative disorders. Despite the importance of trace elements in neurological function, little is known regarding their uptake and distribution within brain tissues. Even less is known regarding the impact of toxic metal exposure (i.e., Pb) on endogenous metals within the brain.


Synthetic Study Toward Lycopodium Alkaloids Via A Common Bicyclic Intermediate, Michaela Cara Vertorano Jan 2016

Synthetic Study Toward Lycopodium Alkaloids Via A Common Bicyclic Intermediate, Michaela Cara Vertorano

Legacy Theses & Dissertations (2009 - 2024)

The lycopodium alkaloids are a family of over 270 naturally occurring compounds, many of which are bioactive. Therefore, developing an efficient manner by which these alkaloids can be synthesized could be incredibly useful in studying their potential medicinal benefits. Herein, steps toward this goal were accomplished. A bicyclic ring structure was synthesized in few steps from commercially available starting materials. This structure can be viewed as a key intermediate from which several lycopodium alkaloids could be synthesized in relatively few steps. The ring system was subject to an aza-Prins cyclization reaction to synthesize the alkaloids lycopodine. Unfortunately the current synthetic …


On Monomial Resolutions Supported On Posets, Daniel Wood Jan 2016

On Monomial Resolutions Supported On Posets, Daniel Wood

Legacy Theses & Dissertations (2009 - 2024)

In this thesis we establish two independent ideas. Firstly, given a monomial ideal I with


Causal Inference In Observational Studies With Clustered Data, Meng Wu Jan 2016

Causal Inference In Observational Studies With Clustered Data, Meng Wu

Legacy Theses & Dissertations (2009 - 2024)

In this thesis, we study causal inference in observational studies with clustered data.


Efficient Large-Scale Photometric Reconstruction Using Divide-Conquer And Fusion, Yueming Yang Jan 2016

Efficient Large-Scale Photometric Reconstruction Using Divide-Conquer And Fusion, Yueming Yang

Legacy Theses & Dissertations (2009 - 2024)

The Structure-from-Motion(SfM) method of constructing a 3D model from 2D images reached maturity in the last decade. However, the computational time of pairwise image feature matching dominates the whole pipeline of SfM, and grows quadratically with the number of images. So the scaling issue is still a challenging problem. This dissertation introduces an efficient framework for large-scale 3D reconstruction from a large set of photos following the SfM paradigm with divide-conquer and fusion. The main novelty is to ensure commonality from overlaps between image sets corresponding to their reconstructed models, which facilitates effective stitching and fusion. Specifically, such commonality is …


Estimating Survival Distributions, Important Covariates And Time-Varying Associations, Yan Wu Jan 2016

Estimating Survival Distributions, Important Covariates And Time-Varying Associations, Yan Wu

Legacy Theses & Dissertations (2009 - 2024)

There are three papers each on a different topic in this thesis. The first paper proposes a new objective methodology to estimate any subject specific survival distribution with potential time-varying effect by adjusting approximated polynomial censored survival function with estimated censoring distribution under three different assumptions: uniform censoring, independent censoring and non-informative censoring. The coefficients of the polynomial censored survival function and underlying censoring probability are estimated at each event or censoring time point across the study time frame, which naturally accommodates potential non-proportional hazards along with time-varying effect. An extensive simulation study indicates that the proposed methods usually perform …