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The Advanced Spectroscopic Analysis Of Organic Gunshot Residue And Explosives, Jennifer M. Leonard 2017 The Graduate Center, City University of New York

The Advanced Spectroscopic Analysis Of Organic Gunshot Residue And Explosives, Jennifer M. Leonard

All Graduate Works by Year: Dissertations, Theses, and Capstone Projects

With the prevalence of shooting cases and terrorist attacks/or threats that plague the current state of the criminal justice system, it is of paramount importance to be able to detect, identify and interpret the presence of gunshot residue or explosives material. This concern is seen in law enforcement agencies and the media throughout the United States and abroad.

Currently, the typical method of analyzing gunshot residue in most crime laboratories serves to identify the inorganic constituents of the primer residue, namely lead, barium and antimony. However, it is possible that the organic matter from the propellant could provide different ...


The Modified Stereospecific Stille Reaction: Palladium-Catalyzed Cross-Coupling Reactions Involving Secondary And Tertiary Alkyl Carbastannatranes, Chao-yuan Wang 2017 The Graduate Center, City University of New York

The Modified Stereospecific Stille Reaction: Palladium-Catalyzed Cross-Coupling Reactions Involving Secondary And Tertiary Alkyl Carbastannatranes, Chao-Yuan Wang

All Graduate Works by Year: Dissertations, Theses, and Capstone Projects

Organic chemistry is present in all domains of everyday life, from polymer production to medicine. In order to synthesize complex compounds, it is often necessary to make new carbon-carbon bonds. Transition metal catalysts, particularly those derived from second and third row metals such as Pt, Pd, Rh, and Ir metals, display remarkable efficiency for the formation of carbon-carbon and carbon-heteroatom bonds. In the first chapter, introduction of transition metal-catalyzed cross-coupling reactions is given. While the formation of C(sp2)–C(sp2) bonds has been studied extensively, C(sp3)-C(sp2) bond formation still presents a challenge ...


Counting Rational Points, Integral Points, Fields, And Hypersurfaces, Joseph Gunther 2017 The Graduate Center, City University of New York

Counting Rational Points, Integral Points, Fields, And Hypersurfaces, Joseph Gunther

All Graduate Works by Year: Dissertations, Theses, and Capstone Projects

This thesis comes in four parts, which can be read independently of each other.

In the first chapter, we prove a generalization of Poonen's finite field Bertini theorem, and use this to show that the obvious obstruction to embedding a curve in some smooth surface is the only obstruction over perfect fields, extending a result of Altman and Kleiman. We also prove a conjecture of Vakil and Wood on the asymptotic probability of hypersurface sections having a prescribed number of singularities.

In the second chapter, for a fixed base curve over a finite field of characteristic at least 5 ...


Selecting Link Resolver And Knowledge Base Software: Implications Of Interoperability, Cyndy Chisare, Jody C. Fagan, David J. Gaines, Michael Trocchia 2017 James Madison University

Selecting Link Resolver And Knowledge Base Software: Implications Of Interoperability, Cyndy Chisare, Jody C. Fagan, David J. Gaines, Michael Trocchia

Libraries

Link resolver software and their associated knowledge bases are essential technologies for modern academic libraries. However, because of the increasing number of possible integrations involving link resolver software and knowledge bases, a library’s vendor relationships, product choices, and consortial arrangements may have the most dramatic effects on the user experience and back-end maintenance workloads. A project team at a large comprehensive university recently investigated link resolver products in an attempt to increase efficiency of back-end workflows while maintaining or improving the patron experience. The methodology used for product comparison may be useful for other libraries.


Relaxation Of Microwave Nonlinearity In A Cuprate Superconducting Resonator, Richard A. Huizen, Sean L. Hamilton, Geoffrey T. Lenters, Stephen K. Remillard 2017 Grand Valley State University

Relaxation Of Microwave Nonlinearity In A Cuprate Superconducting Resonator, Richard A. Huizen, Sean L. Hamilton, Geoffrey T. Lenters, Stephen K. Remillard

Faculty Publications

The second- and third-order nonlinear microwave response of a superconducting YBa2Cu3O7 thin-film resonator was synchronously measured using three input tones. This technique permits the local measurement, and hence mapping, of intermodulation distortion inside the resonator. Second- and third-order IMD measured with a fixed probe relaxed in remarkably different ways after the removal of a static magnetic field. The second-order IMD relaxed by two different magnetic processes, a fast process that appears related to bulk remanent magnetization and a slow process that fits the description of Bean and Livingston. The third-order IMD relaxes by only one process that is distinct from ...


The Recognition Problem For Table Algebras And Reality-Based Algebras, Allen Herman, Mikhail Muzychuk, Bangteng Xu 2017 University of Regina

The Recognition Problem For Table Algebras And Reality-Based Algebras, Allen Herman, Mikhail Muzychuk, Bangteng Xu

EKU Faculty and Staff Scholarship

Given a finite-dimensional noncommutative semisimple algebra A over C with involution, we show that A always has a basis B for which ( A , B ) is a reality-based algebra. For algebras that have a one-dimensional representation δ , we show that there always exists an RBA-basis for which δ is a positive degree map. We characterize all RBA-bases of the 5-dimensional noncommutative semisimple algebra for which the algebra has a positive degree map, and give examples of RBA-bases of C ⊕ M n ( C ) for which the RBA has a positive degree map, for all n ≥ 2


Mechanistic Mathematical Models: An Underused Platform For Hpv Research, Marc Ryser, Patti Gravitt, Evan R. Myers 2017 George Washington University

Mechanistic Mathematical Models: An Underused Platform For Hpv Research, Marc Ryser, Patti Gravitt, Evan R. Myers

Global Health Faculty Publications

Health economic modeling has become an invaluable methodology for the design and evaluation of clinical and public health interventions against the human papillomavirus (HPV) and associated diseases. At the same time, relatively little attention has been paid to a different yet complementary class of models, namely that of mechanistic mathematical models. The primary focus of mechanistic mathematical models is to better understand the intricate biologic mechanisms and dynamics of disease. Inspired by a long and successful history of mechanistic modeling in other biomedical fields, we highlight several areas of HPV research where mechanistic models have the potential to advance the ...


The Sluggs Survey: Using Extended Stellar Kinematics To Disentangle The Formation Histories Of Low-Mass S0 Galaxies, Sabine Bellstedt, Duncan Forbes, Caroline Foster, Aaron Romanowsky, Jean Brodie, Nicola Pastorello, Adebusola Alabi, Alexa Villaume 2017 Swinburne University of Technology

The Sluggs Survey: Using Extended Stellar Kinematics To Disentangle The Formation Histories Of Low-Mass S0 Galaxies, Sabine Bellstedt, Duncan Forbes, Caroline Foster, Aaron Romanowsky, Jean Brodie, Nicola Pastorello, Adebusola Alabi, Alexa Villaume

Faculty Publications

We utilize the DEIMOS instrument on the Keck telescope to measure the wide-field stellar kinematics of early-type galaxies as part of the SAGES Legacy Unifying Globulars and GalaxieS (SLUGGS) survey. In this paper, we focus on some of the lowest stellar mass lenticular galaxies within this survey, namely NGC 2549, NGC 4474, NGC 4459 and NGC 7457, performing detailed kinematic analyses out to large radial distances of ∼2–3 effective radii. For NGC 2549, we present the first analysis of data taken with the SuperSKiMS (Stellar Kinematics from Multiple Slits) technique. To better probe kinematic variations in the outskirts of ...


Evaluation Of A Filtration Sorbent For Remediation Of Arsenic In Groundwater, Clement Do 2017 California State University - San Bernardino

Evaluation Of A Filtration Sorbent For Remediation Of Arsenic In Groundwater, Clement Do

Electronic Theses, Projects, and Dissertations

A commercially available product, PURA PhosLock, was identified and evaluated for use as a sorbent to remove dissolved arsenic (As) from drinking water. Although marketed as a product to remove phosphate in aquaria, it is composed of iron oxide hydroxide (i.e., FeO(OH)), which is also known to adsorb dissolved As species from water. Arsenic was measured using standard methods and Graphite Furnace Atomic Absorption Spectroscopy. A first rough filtration test was performed to see if the PhosLock adsorbed As well. About 50 g of PhosLock was used to filter 10 L of tap water containing 100 ppb As ...


Book Review: Shoot The Moon: A Complete Guide To Lunar Imaging, T. D. Oswalt 2017 Embry-Riddle Aeronautical University - Daytona Beach

Book Review: Shoot The Moon: A Complete Guide To Lunar Imaging, T. D. Oswalt

Publications

This document is Dr. Oswalt’s review of Shoot the Moon: a Complete Guide to Lunar Imaging by Dupont-Bloch, Nicolas. Cambridge, 2016, 323 p index, 9781107548442 $39.95, 9781316657867 $32.00.


To Look Or Book: An Examination Of Consumers’ Apprehensiveness Toward Internet Use, Alex M. Susskind, Mark A. Bonn, Chekitan Dev 2017 Cornell University School of Hotel Administration

To Look Or Book: An Examination Of Consumers’ Apprehensiveness Toward Internet Use, Alex M. Susskind, Mark A. Bonn, Chekitan Dev

Alex M. Susskind

In a series of three studies, a two-factor measure of apprehension toward Internet use was developed and tested among three independent samples of consumers. The relationship between general Internet apprehensiveness (GIA) and transactional Internet apprehensiveness (TIA) was examined in concert with the relationship between consumers’ online information seeking, purchasing intentions, and behaviors. Results indicated that (1) a two-factor measure of GIA and TIA demonstrated construct validity across three independent samples of potential Internet users, (2) GIA is more strongly related to perceptions of Internet use for information seeking compared to online purchasing, and (3) TIA is more strongly related to ...


Adding Differential Privacy In An Open Board Discussion Board System, Pragya Rana 2017 San Jose State University

Adding Differential Privacy In An Open Board Discussion Board System, Pragya Rana

Master's Projects

This project implements a privacy system for statistics generated by the Yioop search and discussion board system. Statistical data for such a system consists of various counts, sums, and averages that might be displayed for groups, threads, etc. When statistical data is made publicly available, there is no guarantee of preserving the privacy of an individual. Ideally, any data extracted should not reveal any sensitive information about an individual. In order to help achieve this, we implemented a Differential Privacy mechanism for Yioop. Differential privacy preserves privacy up to some controllable parameters of the number of items or individuals being ...


An Open Source Discussion Group Recommendation System, Sarika Padmashali 2017 San Jose State University

An Open Source Discussion Group Recommendation System, Sarika Padmashali

Master's Projects

A recommendation system analyzes user behavior on a website to make suggestions about what a user should do in the future on the website. It basically tries to predict the “rating” or “preference” a user would have for an action. Yioop is an open source search engine, wiki system, and user discussion group system managed by Dr. Christopher Pollett at SJSU. In this project, we have developed a recommendation system for Yioop where users are given suggestions about the threads and groups they could join based on their user history. We have used collaborative filtering techniques to make recommendations and ...


Neural Net Stock Trend Predictor, Sonal Kabra 2017 San Jose State University

Neural Net Stock Trend Predictor, Sonal Kabra

Master's Projects

This report analyzes new and existing stock market prediction techniques. Traditional technical analysis was combined with various machine-learning approaches such as artificial neural networks, k-nearest neighbors, and decision trees. Experiments we conducted show that technical analysis together with machine learning can be used to profitably direct an investor’s trading decisions. We are measuring the profitability of experiments by calculating the percentage weekly return for each stock entity under study. Our algorithms and simulations are developed using Python. The technical analysis methodology combined with machine learning algorithms show promising results which we discuss in this report.


Predicting Pancreatic Cancer Using Support Vector Machine, Akshay Bodkhe 2017 San Jose State University

Predicting Pancreatic Cancer Using Support Vector Machine, Akshay Bodkhe

Master's Projects

This report presents an approach to predict pancreatic cancer using Support Vector Machine Classification algorithm. The research objective of this project it to predict pancreatic cancer on just genomic, just clinical and combination of genomic and clinical data. We have used real genomic data having 22,763 samples and 154 features per sample. We have also created Synthetic Clinical data having 400 samples and 7 features per sample in order to predict accuracy of just clinical data. To validate the hypothesis, we have combined synthetic clinical data with subset of features from real genomic data. In our results, we observed ...


Directed Solid Phase Peptide Synthesis Of Alpha-Conotoxin Mii, Jenny Fothergill, Vanessa Bowman, Matt Turner, Matt King, Owen McDougal (Mentor) 2017 Boise State University

Directed Solid Phase Peptide Synthesis Of Alpha-Conotoxin Mii, Jenny Fothergill, Vanessa Bowman, Matt Turner, Matt King, Owen Mcdougal (Mentor)

Owen M. McDougal

Conotoxins—short, disulfide-rich peptides found in the venom of cone snails—exhibit unprecedented receptor binding selectivity. α-Conotoxin MII (α-CTxMII) targets the α3β2-nicotinic acetylcholine receptor (nAChR) isoform; studying the interaction of this peptide with nAChRs provides an understanding of binding determinants that may benefit therapeutic development for diseases like Alzheimer’s and Parkinson’s. Linear peptide was synthesized on solid support RINK resin by automated peptide synthesis followed by cleavage from resin and subsequent oxidative folding to form disulfide bridges. Mass spectral analysis validated proper synthesis and initial fold formation. QTOF-MS (m/z): [M + H]+ calculated for ...


Industrial Education, Community Outreach, And Progressivism In Boston’S North End 1880-1920, Meg Stanley 2017 Illinois Wesleyan University

Industrial Education, Community Outreach, And Progressivism In Boston’S North End 1880-1920, Meg Stanley

CrissCross

At the turn of the 20th century, America’s Northeastern cities were expanding, diversifying and industrially progressing at an unprecedented rate. Immigrants from Eastern and Southern Europe were flocking to ethnic neighborhoods in search of familiarity in a new land. Boston’s historic North End became an epicenter of ethnic collisions with a growing population of unskilled immigrants and a declining quality of life. Through the chaos, the North Bennet Street Industrial School (NBSIS) emerged as a leading educational institution. The school provided opportunities for education and community involvement, responding to the needs of the struggling neighborhood.


Writing As A Spatiotemporal Concept: Ekphrasis Of Place And The Spatial Turn, Maggie Kennelly 2017 Illinois Wesleyan University

Writing As A Spatiotemporal Concept: Ekphrasis Of Place And The Spatial Turn, Maggie Kennelly

CrissCross

Ever since Lessing wrote his Laocoön many critics have classified painting as a solely spatial art and writing as a solely temporal one. However, in recent years the idea of the spatial turn, of space not fitting into only one category, has sparked new critiques as to what defines art. In this paper, I prove that, by using ekphrasis of place, writing is a spatiotemporal art, meaning it depicts both space and time. This argument is supported by evidence from literary critics, notably Joseph Frank, and pieces of poetry and prose in which ekphrasis of place is used. Through this ...


Inventory, Assessment And Preliminary Management Planning For Utah's Sovereign Land Along The Bear River, Matthew Coombs 2017 Utah State University

Inventory, Assessment And Preliminary Management Planning For Utah's Sovereign Land Along The Bear River, Matthew Coombs

All Graduate Plan B and other Reports

ABSTRACT

Inventory, Assessment and Preliminary Management Planning for

Utah’s Sovereign Land along the Bear River

by

Matthew S. Coombs

Master of Science in Bioregional Planning

Utah State University, 2017

Major Professor: Richard E. Toth

Department: Environment and Society

The Utah Division of Forestry, Fire and State Lands (FFSL) is responsible for the management of state-owned sovereign land in Utah, which includes the bed and banks of the Bear River in Cache and Box Elder Counties. The purpose of this project is to provide relevant background information and data to support the future development of a comprehensive management plan for ...


Document Classification Using Machine Learning, Ankit Basarkar 2017 San Jose State University

Document Classification Using Machine Learning, Ankit Basarkar

Master's Projects

To perform document classification algorithmically, documents need to be represented such that it is understandable to the machine learning classifier. The report discusses the different types of feature vectors through which document can be represented and later classified. The project aims at comparing the Binary, Count and TfIdf feature vectors and their impact on document classification. To test how well each of the three mentioned feature vectors perform, we used the 20-newsgroup dataset and converted the documents to all the three feature vectors. For each feature vector representation, we trained the Naïve Bayes classifier and then tested the generated ...


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