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A Performance Analysis Framework For Coreference Resolution Algorithms, Chandankumar Johakhim Patel Jan 2016

A Performance Analysis Framework For Coreference Resolution Algorithms, Chandankumar Johakhim Patel

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This thesis entitled A Performance Analysis Framework for Coreference Resolution Algorithms, focuses on the topic of coreference resolution of semantic datasets. In order for Big Data analytics to be effective, it is essential to develop automated algorithms capable of integrating multiple datasets that contain data about a particular person or other entity. Accomplishing this necessitates coreference resolution; for example, determining that J. Doe in one dataset refers to the same person as Jonathan Doe Jr. in another dataset. There are many existing coreference resolution algorithms, but there are only a few basic design decisions to be made by such systems …


Surface Effect Of Ferromagnetic Nanoparticles On Transition Between Single- And Multi-Domain Structure Or Between Single-Domain Structure And Superparamagnetic Phase, Hind Adawi Jan 2016

Surface Effect Of Ferromagnetic Nanoparticles On Transition Between Single- And Multi-Domain Structure Or Between Single-Domain Structure And Superparamagnetic Phase, Hind Adawi

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Surface effects on critical dimensions of ferromagnetic nanoparticles were studied. Algebraic equations were derived and numerically solved for critical radius RC2 of ferromagnetic nanoparticles describing the transition between single- and multi-domain magnetic structure. Results were analyzed to illustrate the effect of surface parameters related to saturation magnetization a, exchange interaction ß, and anisotropy KS on the critical radius of nanoparticles with a core value of anisotropy KV. Available experimental data for MnBi, FePt, and CoPt or for Fe nanoparticles were used as examples of nanoparticles with high and low values of KV, respectively. Our studies clearly show that discrepancies existing …


Poly(Arylene Ether Sulfone)S With Ammonium Groups Located On Pendent Phenyl Sulfonyl Moieties For Anionic Exchange Membranes, Trevor I. Schumacher Jan 2016

Poly(Arylene Ether Sulfone)S With Ammonium Groups Located On Pendent Phenyl Sulfonyl Moieties For Anionic Exchange Membranes, Trevor I. Schumacher

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A series of poly(aryl ether sulfone)s with varying percentages of ammonium groups, located on truly pendent positions, was prepared and characterized. The initial polymers were prepared by nucleophilic aromatic substitution (NAS) polycondensation reactions of varying ratios of 3,5-difluoro-4'-methyldiphenylsulfone and 4,4'-difluorodiphenylsulfone, with bisphenol-A as the nucleophilic reaction partner. The tolyl groups in the resulting polymers were subjected to radical bromination with N-bromosuccinimide, followed by amination with three different amines: trimethylamine, dimethylhexadecylamine, and N-methylimidazole. The polymers were characterized by 1H and 13C NMR spectroscopy, thermogravimetric analysis, and differential scanning calorimetry. With the exception of the 100% functionalized polymers, tough films were observed …


Social Network Analysis And The Representation Of Female Students In Introductory Undergraduate Physics, Sarah Teresa Hierath Jan 2016

Social Network Analysis And The Representation Of Female Students In Introductory Undergraduate Physics, Sarah Teresa Hierath

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Physics Education Research has begun to focus on the learning habits, success, and connections of students in physics classrooms using Social Network Analysis (SNA). SNA is an important tool in studying classroom dynamics because it can be used to map the social structure of a classroom's interactions and to aid in understanding how students work and study together. This study presents network diagrams, statistics, centrality measures, and conceptual understanding correlations for 7 different sections of introductory physics. Centrality measures were determined from a first and last week survey in which students were asked to indicate their study partners within the …


Vespucci: A Free, Cross-Platform Software Tool For Spectroscopic Data Analysis And Imaging, Daniel Patrick Foose Jan 2016

Vespucci: A Free, Cross-Platform Software Tool For Spectroscopic Data Analysis And Imaging, Daniel Patrick Foose

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Vespucci is a software application developed for imaging and analysis of hyperspectral datasets. Vespucci offers several advantages over other software packages, including a simple user interface, no cost, and less restrictive licensing. Vespucci incorporates several analysis techniques including univariate imaging, principal components analysis, partial-least-squares regression, vertex components analysis and k- means clustering. Additionally, Vespucci can perform a number of useful data-processing operations, including filtering, normalization, baseline correction, and background subtraction. Datasets that consist of spatial or temporal data with a corresponding digital signal, including spectroscopic images, mass spectrometric images, and X-ray diffraction data can be processed in this software. The …


Routes To 1,3,4 - Oxadiazol-2(3h)-Ones, Karunakar Reddy Madaram Jan 2016

Routes To 1,3,4 - Oxadiazol-2(3h)-Ones, Karunakar Reddy Madaram

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Various 1,3,4-oxadiazol-2(3H)-ones were synthesized by reaction of the bromocarbonylhydrazine salt(35) obtained from treatment of 4-bromo-3-phenylsydnone(34) with HCl with the corresponding acid chlorides in DME. The structures were confirmed by their physical, analytical and spectral data (IR, GC/MS, 1H and 13C NMR and CHN analysis). In general these compounds were synthesized in good to excellent yields and it is planned to continue exploration of their chemical behavior as a guide to their potential antimicrobial activity. As an initial approach to the synthesis of the desired 1,3,4-oxadiazol-2(3H)-ones, the starting material, 3-phenylsydnone, was prepared in 2 steps from commercially available N-phenylglycine in good …


Resqu: A Framework For Automatic Evaluation Of Knowledge-Driven Automatic Summarization, Nishita Jaykumar Jan 2016

Resqu: A Framework For Automatic Evaluation Of Knowledge-Driven Automatic Summarization, Nishita Jaykumar

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Automatic generation of summaries that capture the salient aspects of a search resultset (i.e., automatic summarization) has become an important task in biomedical research. Automatic summarization offers an avenue for overcoming the information overload problem prevalent in large online digital libraries. However, across many of the knowledge-driven approaches for automatic summarization it is not always clear which features highly impact or influence the quality of a summary. Instead, there has been considerable focus on utilizing schema knowledge to facilitate browsing and exploration of generated summaries a posteriori. Informative features should not be ignored, since they could be utilized to help …


Application Of Time-Frequency Analysis To Characterize Gas Shadows From The Clinton Interval In Ohio Seismic Reflection Data, Fangzhou Yan Jan 2016

Application Of Time-Frequency Analysis To Characterize Gas Shadows From The Clinton Interval In Ohio Seismic Reflection Data, Fangzhou Yan

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The Smoothed Pseudo Wigner-Ville Distribution (SPWVD) is one method to simultaneously resolve time series in both time and frequency domains, allowing determination of frequency variation with time in non-stationary signals. Also, SPWVD reduces the cross-term interference. This analysis was applied to stacked, migrated seismic reflection data from Ohio to characterize gas shadows produced by known and potential gas reservoirs in the Clinton interval. In northeast Ohio, the Clinton interval is identified as occurring immediately beneath the Dayton Limestone, which is known as the driller’s Packer Shell in the subsurface. The analysis was first applied to a seismic reflection line acquired …


Computer Graphics And Visualization Based Analysis And Record System For Hand Surgery And Therapy Practice, Venkatamanikanta Subrahmanyakartheek Gokavarapu Jan 2016

Computer Graphics And Visualization Based Analysis And Record System For Hand Surgery And Therapy Practice, Venkatamanikanta Subrahmanyakartheek Gokavarapu

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In this thesis, we have designed and developed a computer graphics and visualization based analysis and record system for hand surgery and therapy practice. In particular, we have designed and developed three novel technologies: (i) model-based data compression for hand motion records (ii) model-based surface area estimation of a human hand and (iii) an emulated study of hand wound area estimation. First, we have presented a new data compression technique to better address the needs of electronic health record systems, such as file storage and privacy. In our proposed approach, we will extract the patient's hand motion information and store …


Terahertz Spectroscopic Breath Analysis As A Viable Analytical Chemical Sensing Technique, Robert M. Schueler Jan 2016

Terahertz Spectroscopic Breath Analysis As A Viable Analytical Chemical Sensing Technique, Robert M. Schueler

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The ability to quantify trace chemicals in human breath enables the possibility of identifying breath biomarkers to aid in diagnosis. The vast majority of the studies in the analytical breath analysis rely on GC-MS techniques for quantification of the human breath composition1,2,3,4. THz spectroscopy of breath is rapid, sensitive, and highly specific molecular identification in complex mixtures containing 10-100 analytes with near `absolute' specificity. THz spectroscopic breath analyzers require chemical preconcentration. A newly developed custom preconcentrator was constructed and compared in its performance to a commercial system. Unlike the commercial counterpart, the new system does not require cryogenic liquids, is …


Personalized And Adaptive Semantic Information Filtering For Social Media, Pavan Kapanipathi Jan 2016

Personalized And Adaptive Semantic Information Filtering For Social Media, Pavan Kapanipathi

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Social media has experienced immense growth in recent times. These platforms are becoming increasingly common for information seeking and consumption, and as part of its growing popularity, information overload pose a significant challenge to users. For instance, Twitter alone generates around 500 million tweets per day and it is impractical for users to have to parse through such an enormous stream to find information that are interesting to them. This situation necessitates efficient personalized filtering mechanisms for users to consume relevant, interesting information from social media. Building a personalized filtering system involves understanding users' interests and utilizing these interests to …


Synthesis, Characterization, And Polymerization Of Sulfonamide Based Bifunctional Monomers, Brady Hall Jan 2016

Synthesis, Characterization, And Polymerization Of Sulfonamide Based Bifunctional Monomers, Brady Hall

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A series of bifunctional monomers based on N,N-diallylbenzenesulfonamides with varying groups on the benzene moiety were investigated. The main goal of this project was to polymerize these monomers using radical and acyclic diene metathesis (ADMET) polymerization methods to polymerize through the allyl groups, and nucleophilic aromatic substitution (SNAr) to polymerize through the fluorine groups on the phenyl ring. Using phenyl substituted benzenesulfonyl chloride derivatives as a starting material, a series of N,N-diallylbenzenesulfonamide derivatives were prepared. The ADMET and radical cyclopolymerizations were monitored by 1H NMR spectroscopy, observing the disappearance of signals for the allyl groups in both, and the appearance …


Synthesis And Characterization Of Functionalized Poly(Arylene Ether Sulfone)S Using Click Chemistry, Kavitha Neithikunta Jan 2016

Synthesis And Characterization Of Functionalized Poly(Arylene Ether Sulfone)S Using Click Chemistry, Kavitha Neithikunta

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Poly(arylene ether sulfone)s with pendent aryl iodide group was successfully synthesized via Nucleophilic aromatic polycondensation of 1-(3,5-difluorophenyl sulfonyl)-4-iodobenzene using 4,4’-difluorodiphenylsulfone (DFDPS) and Bisphenol A in the ratio 25:75:100. Iodo monomer was prepared by reacting 3,5-difluorodiphenyl sulfone with N-iodo succinimide (NIS). Using GC/MS and NMR spectroscopy, the quantitative analysis was done to this monomer. Modification was done to iodo copolymer using sodium azide and copper sulfate as catalyst to form azide copolymer. Further modification of the azide copolymer to triazole copolymers via Click Chemistry using different alkynes such as 1-octyne, phenyl acetylene, propargyl alcohol and acetylenedicarboxylic acid. Polymers characterization was done …


Detecting Php-Based Cross-Site Scripting Vulnerabilities Using Static Program Analysis, Steven M. Kelbley Jan 2016

Detecting Php-Based Cross-Site Scripting Vulnerabilities Using Static Program Analysis, Steven M. Kelbley

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With the widespread adoption of dynamic web applications in recent years, a number of threats to the security of these applications have emerged as significant challenges for application developers. The security of developed applications has become a higher priority for both developers and their employers as cyber attacks become increasingly more prevalent and damaging. Some of the most used web application frameworks are written in PHP and have become major targets due to the large number of servers running these applications worldwide. A number of tools exist to evaluate PHP code for issues, however most of these applications are not …


Measures Of User Interactions, Conversations, And Attacks In A Crowdsourced Platform Offering Emotional Support., Samir Yelne Jan 2016

Measures Of User Interactions, Conversations, And Attacks In A Crowdsourced Platform Offering Emotional Support., Samir Yelne

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Online social systems have emerged as a popular medium for people in society to communicate with each other. Among the most important reasons why people communicate is to share emotional problems, but most online social systems are uncomfortable or unsafe spaces for this purpose. This has led to the rise of online emotional support systems, where users needing to speak to someone can anonymously connect to a crowd of trained listeners for a one-on-one conversation. To better understand who, how and when users utilize these systems, and to evaluate their safety, this thesis offers a comprehensive examination of the characteristics …


Theoretical Estimation Of PkA'S Of Pyrimidines And Related Heterocycles, Rachael Ann Wessner Jan 2016

Theoretical Estimation Of PkA'S Of Pyrimidines And Related Heterocycles, Rachael Ann Wessner

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Pyrimidines and related heterocycles are an important class of compounds with a wide variety of applications. As a result, there is great interest in the chemical properties of these compounds, specifically their pKa's. Despite the importance of these compounds their reported pKa's are often only approximations or are completely absent from literature. Experimentally measuring pKa's can be challenging, especially if the pKa is below zero. Alternatively, pKa's can be estimated computationally using a Quantitative Structure-Activity Relationship (QSAR). However, most of the compounds included in this study exist as two or more forms that arise from tautomerism. Tautomerism complicates the estimation …


A Social Network Analysis Of An Introductory Calculus-Based Physics Class With Comparisons Of Traditional And Non-Traditional Students, Fci Scores, And Network Centralities, Emily Sandt Jan 2016

A Social Network Analysis Of An Introductory Calculus-Based Physics Class With Comparisons Of Traditional And Non-Traditional Students, Fci Scores, And Network Centralities, Emily Sandt

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The use of social network analysis in physics education research seeks to advance understanding of how students' collaborative tendencies influence trends of learning. Common useful measurements are network size, density of connections, and centrality measures that describe the importance of nodes' positions. This study compared four different centrality measures at the beginning and end of seven sections of an introductory calculus-based physics course. The Force Concept Inventory was used as a measure of conceptual learning at pre- and post-course administrations. The main focus of this study was to identify if differences in network centralities and conceptual learning/knowledge exist with respect …


Towards Best Practices For Crowdsourcing Ontology Alignment Benchmarks, Reihaneh Amini Jan 2016

Towards Best Practices For Crowdsourcing Ontology Alignment Benchmarks, Reihaneh Amini

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Ontology alignment systems establish the semantic links between ontologies that enable knowledge from various sources and domains to be used by automated applications in many different ways. Unfortunately, these systems are not perfect. Currently, the results of even the best-performing automated alignment systems need to be manually verified in order to be fully trusted. Ontology alignment researchers have turned to crowdsourcing platforms such as Amazon's Mechanical Turk to accomplish this. However, there has been little systematic analysis of the accuracy of crowdsourcing for alignment verification and the establishment of best practices. In this work, we analyze the impact of the …


An Investigation Of The Adsorption Behavior Between Silver Nanoparticles (Agnps) And Corundum (Α-Al2O3) At Environmental Ph Values Using Inductively-Coupled Plasma Optical Emission Spectroscopy (Icp-Oes) And Raman Spectroscopy, Kevin Andrew O'Neil Jan 2016

An Investigation Of The Adsorption Behavior Between Silver Nanoparticles (Agnps) And Corundum (Α-Al2O3) At Environmental Ph Values Using Inductively-Coupled Plasma Optical Emission Spectroscopy (Icp-Oes) And Raman Spectroscopy, Kevin Andrew O'Neil

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With the increased use of silver nanoparticles (AgNPs) in consumer products, the need to monitor their release into environmental soils has become critical. Although minerals make up a large component of soils, research on their interactions with AgNPs is still limited. Furthermore, the majority of the existing research focused on silica-based minerals rather than metal oxides, which is the second most abundant mineral type in the earth's crust. This study examined for the first time the aqueous interaction between the widely used, spherical Creighton AgNPs and a-corundum (a-Al2O3), a representative non-silica-based mineral, at environmentally relevant pH values (6-11). Samples were …


Mining And Analyzing Subjective Experiences In User Generated Content, Lu Chen Jan 2016

Mining And Analyzing Subjective Experiences In User Generated Content, Lu Chen

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Web 2.0 and social media enable people to create, share and discover information instantly anywhere, anytime. A great amount of this information is subjective information -- the information about people's subjective experiences, ranging from feelings of what is happening in our daily lives to opinions on a wide variety of topics. Subjective information is useful to individuals, businesses, and government agencies to support decision making in areas such as product purchase, marketing strategy, and policy making. However, much useful subjective information is buried in ever-growing user generated data on social media platforms, it is still difficult to extract high quality …


Temporal Variation Of Mercury In Effluent From Two Municipal Wastewater Treatment Plants In Southwest Ohio, Heather Brittany Perusini Jan 2016

Temporal Variation Of Mercury In Effluent From Two Municipal Wastewater Treatment Plants In Southwest Ohio, Heather Brittany Perusini

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Mercury (Hg) is a toxic metal that, once converted to methylmercury by microorganisms, bioaccumulates in aquatic food webs and poses a health risk to wildlife and humans who eat fish. Wastewater treatment plants (WWTPs) are a source of Hg to surface waters, but little is known about the temporal variability of Hg concentrations in effluent and efflux to aquatic systems. I quantified the concentration of Hg in effluent from the City of Dayton (Ohio) and Ford Road (Xenia, Ohio) WWTPs and examined temporal variability over monthly and hourly time scales as well as efficiency of Hg removal. Over a 13-month …


Knowledge-Driven Implicit Information Extraction, Pathirage Dinindu Perera Jan 2016

Knowledge-Driven Implicit Information Extraction, Pathirage Dinindu Perera

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Natural language is a powerful tool developed by humans over hundreds of thousands of years. The extensive usage, flexibility of the language, creativity of the human beings, and social, cultural, and economic changes that have taken place in daily life have added new constructs, styles, and features to the language. One such feature of the language is its ability to express ideas, opinions, and facts in an implicit manner. This is a feature that is used extensively in day to day communications in situations such as: 1) expressing sarcasm, 2) when trying to recall forgotten things, 3) when required to …


Identifying Tweets With Implicit Entity Mentions, Adarsh Koruthu Alex Jan 2016

Identifying Tweets With Implicit Entity Mentions, Adarsh Koruthu Alex

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Social networking sites like Twitter and Facebook have become a significant source of user-generated content in the past decade. Mining of this user-generated content has proved beneficial for a broad range of applications like Event Extraction, Document Retrieval, and Sentiment Analysis. Identifying entities is one of the major tasks that fuel important information for above tasks. Identification of entities is typically performed in two steps; Named Entity Recognition (NER) and Entity Linking. State of the art NER solutions focus on recognizing the entities that are mentioned explicitly in social media posts. However, entities are frequently mentioned implicitly in them. For …


Framework For Semantic Integration And Scalable Processing Of City Traffic Events, Surendra Brahma Marupudi Jan 2016

Framework For Semantic Integration And Scalable Processing Of City Traffic Events, Surendra Brahma Marupudi

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Intelligent traffic management requires analysis of a large volume of multimodal data from diverse domains. For the development of intelligent traffic applications, we need to address diversity in observations from physical sensors which give weather, traffic flow, parking information; we also need to do the same with social media, which provides live commentary of various events in a city. The extraction of relevant events and the semantic integration of numeric values from sensors, unstructured text from Twitter, and semi- structured data from city authorities is a challenging physical-cyber-social data integration problem. In order to address the challenge of both scalability …


Convergent Evolution In Tooth Morphology Of Filter Feeding Lamniform Sharks, Michaela Grace Mitchell Jan 2016

Convergent Evolution In Tooth Morphology Of Filter Feeding Lamniform Sharks, Michaela Grace Mitchell

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The basking shark (Cetorhinus maximus) and megamouth shark (Megachasma pelagios) are two species of filter feeding sharks, both belonging to the order Lamniformes. There are two conflicting hypotheses regarding the origins of filter feeding in Lamniform sharks; that there is a single origin of filter feeding within Lamniformes, or conversely, the filter feeding adaptations have been developed independently due to different ancestral conditions. Evidence obtained from several studies strongly supports the latter hypothesis. Because evidence suggests that C. maximus and M. pelagios have developed their filter feeding adaptations independently, we expect to see convergent evolution taking place within these two …


Spatial Variation In Tooth Shape Of Miocene Populations Of Carcharocles Megalodon Across Ocean Basins, Maxwell John Bertsos Jan 2016

Spatial Variation In Tooth Shape Of Miocene Populations Of Carcharocles Megalodon Across Ocean Basins, Maxwell John Bertsos

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The extinct Lamniform species, Carcharocles megalodon, were some of the most geographically widespread apex predators in the fossil record. However, whether this cosmopolitan distribution was related to population level differences is unknown. The objective of this study is to assess whether variation in tooth morphology coincided with geographic dispersal. The underlying hypothesis is that variation in an aspect of functional morphology, such as tooth shape, suggests some level of population structuring. Detecting this relationship could potentially provide a mechanism that links population to functional relationships inherent in tooth morphology that may reflect period differences in ocean basins. This would offer …


Miniatured Inertial Motion And Position Tracking And Visualization Systems Using Android Wear Platform, Dhruvkumar Navinchandra Patel Jan 2016

Miniatured Inertial Motion And Position Tracking And Visualization Systems Using Android Wear Platform, Dhruvkumar Navinchandra Patel

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In this thesis, we have designed and developed a motion tracking and visualization system using the latest motion tracking sensory technologies. It is one of the enabling technologies for our novel visual-inertial odometer and human anatomy based 3D Locating, Mapping and Navigation system for endoscopy and drug delivery capsules used inside GI tract. In particular, we have: i) designed and completed a cloud-based sensory data collecting, processing and storage system to provide the reliable computing and storage platform; ii) explored different data processing methods to obtain improved-quality motion results from extremely noisy raw data, e.g., by using a low pass …


Thermoelectric Transport And Energy Conversion Using Novel 2d Materials, Luke J. Wirth Jan 2016

Thermoelectric Transport And Energy Conversion Using Novel 2d Materials, Luke J. Wirth

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Nanomaterials hold great promise for applications in thermal management and thermoelectric power generation. Defects in these are important as they are generally inevitably introduced during fabrication or intentionally engineered to control the properties of the nanomaterials. Here, we investigate how phonon-contributed thermal conductance in narrow graphene, boron nitride (BN), and silicene nanoribbons (NRs), responds to the presence of a vacancy defect and the corresponding geometric distortion, from first principles using the non-equilibrium Green's function method. Analyses are made of the geometries, phonon conductance coefficients, and local densities of states (LDOS) of pristine and defected nanoribbons. It is found that hydrogen …


Educational Methods For Inverted-Lecture Computer Science And Engineering Classrooms To Overcome Common Barriers To Stem Student Success, Kathleen Timmerman Jan 2016

Educational Methods For Inverted-Lecture Computer Science And Engineering Classrooms To Overcome Common Barriers To Stem Student Success, Kathleen Timmerman

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New educational pedagogies are emerging in an effort to increase the number of new engineers available to enter the workforce in the coming years. One of the re-occurring themes in these pedagogies is variations of the flipped classroom. Often the additional classroom time gained from flipping is used to reinforce learning objectives. It is hypothesized that it might be more beneficial to students if a portion of that time is used to address common non-cognitive barriers that prevent students from succeeding in the major. In a freshman Introductory Computer Science course, three different pedagogies are compared: a hybrid lecture-active learning …


De-Anonymization Attack Anatomy And Analysis Of Ohio Nursing Workforce Data Anonymization, Jacob M. Miracle Jan 2016

De-Anonymization Attack Anatomy And Analysis Of Ohio Nursing Workforce Data Anonymization, Jacob M. Miracle

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Data generalization (anonymization) is a widely misunderstood technique for preserving individual privacy in non-interactive data publishing. Easily avoidable anonymization failures are still occurring 14 years after the discovery of basic techniques to protect against them. Identities of individuals in anonymized datasets are at risk of being disclosed by cyber attackers who exploit these failures. To demonstrate the importance of proper data anonymization we present three perspectives on data anonymization. First, we examine several de-anonymization attacks to formalize the anatomy used to conduct attacks on anonymous data. Second, we examine the vulnerabilities of an anonymous nursing workforce survey to convey how …