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Articles 421 - 450 of 3840
Full-Text Articles in Physical Sciences and Mathematics
Multiscale Modeling Of Carbon Nanotube Synthesis In A Catalytic Chemical Vapor Deposition Reactor, Jonathan Troville
Multiscale Modeling Of Carbon Nanotube Synthesis In A Catalytic Chemical Vapor Deposition Reactor, Jonathan Troville
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The bottom-up analysis of Carbon Nanotube synthesis is not well understood. Specifically, the question as to how carbon adsorbs to a substrate inclusive of a supported catalyst may lead to the energetically favorable structure of a hexagonal close- packed structure along the wall, or walls, of the tube. A first time simulation using COMSOL Multiphysics has been generated in order to capture the gas-phase mech- anism which leads to carbon production. It is thought that the carbon adsorbs and the walls are formed from the bottom up and the inside out for multi-wall CNTs. The studies involved accurately setting up …
Structure Stability And Optical Response Of Lead Halide Hybrid Perovskite Photovoltaic Materials: A First-Principles Simulation Study, Siddharth Narendrakumar Rathod
Structure Stability And Optical Response Of Lead Halide Hybrid Perovskite Photovoltaic Materials: A First-Principles Simulation Study, Siddharth Narendrakumar Rathod
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A third-generation of solar cell is based on organic-inorganic hybrid perovskite materials. These have reached up to 22.1% conversion efficiency through exponential growth just within the last decade, compared to much longer improvement times for other photovoltaic technologies. Lead halide perovskites are among the most commonly used materials in this context. Despite the relatively large number of available works on some of these materials, in particular CH3NH3PbI3, others are less investigated. Here, we focused on CH3NH3PbCl3, CH3NH3PbBr3 and CH3NH3PbI3 for assessing structure stability and optical response. Using quantum-mechanics-based first principles approaches, we calculated the optimized structures of these three materials …
Synthesis Of 4-Iodo-3-(2-Iodoaryl) And 4-Bromo-3-(2-Bromoaryl) Sydnones And Their Reactions With Sodium Sulfite, Sodium Borohydride, And Iodine Monochloride, Kyle Jacob Liddy
Synthesis Of 4-Iodo-3-(2-Iodoaryl) And 4-Bromo-3-(2-Bromoaryl) Sydnones And Their Reactions With Sodium Sulfite, Sodium Borohydride, And Iodine Monochloride, Kyle Jacob Liddy
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One goal of the Turnbull research group has been the synthesis of dihalogenated arylsydnones; i.e. sydnones with halogen substitution on the sydnone ring itself, as well as at the position on the aryl ring ortho to the sydnone. Further, it has been of interest to explore the reactivity of these compounds, once obtained. The present study examined the synthesis of 4-iodo-3-(2-iodoaryl)-, or “diiodo”, and 4-bromo-3-(2-bromoaryl)-, or “dibromo”, sydnones and the reactions of these compounds with Na2SO3 (sodium sulfite) and NaBH4 (sodium borohydride) to create a better understanding of the reactivity of diiodo and dibromo arylsydnones in general. Additionally, the reactivity …
The Electrochemical Behavior Of Molybdenum And Tungsten Tri-Nuclear Metal Clusters With Ethanoate Ligands, Edward Nelson Kennedy
The Electrochemical Behavior Of Molybdenum And Tungsten Tri-Nuclear Metal Clusters With Ethanoate Ligands, Edward Nelson Kennedy
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The goal of this research was to study the electrochemical behavior of tri-nuclear clusters of molybdenum and tungsten. In addition, the feasibility of using these clusters as catalysts for the purpose of oxidizing ethanol was investigated. Four tri-nuclear cluster compounds were studied: hexa-Mu2-acetatotriaquadi-Mu3-oxotrimolybdenum (IV, IV, IV) trifluoromethanesulfonate [Mo3O2(O2CCH3)6(H2O)3](CF3SO3)2, hexa-Mu2-acetatotriaquadi-Mu3-oxodimolybdenum (IV, IV) tungsten (IV) trifluoromethanesulfonate [Mo2W2O2(O2CCH3)6(H2O)3](CF3SO3)2, hexa-Mu2-acetatotriaquadi-Mu3-oxomolybdenum (IV) ditungsten (IV, IV) trifluoromethanesulfonate [MoW2O2(O2CCH3)6(H2O)3](CF3SO3)2, and hexa-Mu2-acetatotriaquadi-Mu3-oxotritungsten (IV, IV, IV) trifluoromethanesulfonate [W3O2(O2CCH3)6(H2O)3](CF3SO3)2.Data was gathered from experimental results with cyclic voltammetry for the four tri-nuclear clusters. Initially, an ionic liquid, EMIBF4 (1-ethyl-3-methylimidazolium tetrafluoroborate), was used as the solvent. Subsequent solvents for use with these …
Hydrothermal Atomic Force Microscopy Investigation Of Barite Growth: The Role Of Spectator Ions In Elementary Step Edge Growth Kinetics And Hillock Morphology, Sarah A. Jindra
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To better understand the role of spectator ions in barite growth, the kinetics of step edge growth on barite (001) surfaces were studied under various salt solutions. Hydrothermal Atomic Force Microscopy (HAFM) was used to investigate the effect of background electrolytes (NaCl, NaBr and NaNO3) as a function of saturation index and ionic strength (I) on barite growth sourced at dislocations at 108 oC. Results show that hillock morphology is affected by I, as well as type of anion, where the prevalence of steps aligned on the [010] direction is highest under Cl- There is a modest increase in kinetic …
Investigating Potential Pollutant Sources Causing Lack Of Biodiversity In Lytle Creek And Indian Run, Amira Moayad Alsenbel
Investigating Potential Pollutant Sources Causing Lack Of Biodiversity In Lytle Creek And Indian Run, Amira Moayad Alsenbel
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Limited macroinvertebrate biodiversity in Lytle Creek that runs through downtown Wilmington, Ohio has been documented over decades with the lowest in Lytle Creek at Sugar Grove Cemetery. Lytle Creek, a tributary of the Little Miami River, is a conduit for storm water and wastewater from an airport, downtown storm water with input from local businesses, and a wastewater treatment plant. This study was conducted to see if heavy metal pollution in the sediment, water quality, and Escherichia coli (E. coli) could be contributing factors in reduced macroinvertebrate populations. Eight sites were chosen for sediment sampling to measure trace metals. Mercury …
Model Preparation And User Interface Aspects For Microsoft Hololens Medical Tutorial Applications, Andrew J. Mcnutt
Model Preparation And User Interface Aspects For Microsoft Hololens Medical Tutorial Applications, Andrew J. Mcnutt
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Augmented Reality (AR) is the combination of computer vision and graphics to allow a device to derive context about the environment and to display relevant information to the user. The Microsoft Hololens is the latest wearable AR device that includes a series of infrared sensors to perform hand tracking and Simultaneous Localization and Mapping, a wave guide optics system to project holograms, and an independent untethered operating system. This thesis will explore the hardware and software capabilities of the device, prepare 3D graphical models, and understand the user interface. Specifically, in our research the target application is a tutorial on …
Diffusion Maps And Transfer Subspace Learning, Olga L. Mendoza-Schrock
Diffusion Maps And Transfer Subspace Learning, Olga L. Mendoza-Schrock
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Transfer Subspace Learning has recently gained popularity for its ability to perform cross-dataset and cross-domain object recognition. The ability to leverage existing data without the need for additional data collections is attractive for Aided Target Recognition applications. For Aided Target Recognition (or object assessment) applications, Transfer Subspace Learning is particularly useful, as it enables the incorporation of sparse and dynamically collected data into existing systems that utilize large databases. In this dissertation, Manifold Learning and Transfer Subspace Learning are combined to create new Aided Target Recognition systems capable of achieving high target recognition rates for cross-dataset conditions and cross-domain applications. …
Synthesis And Reactivity Of Sydnone Derived 1,3,4-Oxadiazol-2(3h)-Ones, Jonathan Michael Tumey
Synthesis And Reactivity Of Sydnone Derived 1,3,4-Oxadiazol-2(3h)-Ones, Jonathan Michael Tumey
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5-(Bromomethyl)- and 5-(trichloromethyl)-3-phenyl-1,3,4-oxadiazol-2(3H)-ones were synthesized from bromocarbonyl hydrazine intermediate salts and acid halides to provide further evidence for our proposed mechanism for the formation of oxadiazolone ring systems from sydnones. 5-(Bromomethyl)-3-phenyl-1,3,4-oxadiazol-2(3H)-one was a compound of interest due to its SN2 possibilities and three potential sites of diversification. The procedure to synthesize 5-(bromomethyl)-3-phenyl-1,3,4-oxadiazol-2(3H)-one was developed originally by Madaram in the Turnbull lab, but was further optimized in the present work by altering the time, temperature and stoichiometric equivalents of the acid halide to provide high purity and excellent yields of the product. While this compound of interest had been isolated and …
Gait Analysis From Wearable Devices Using Image And Signal Processing, Bradley A. Schneider
Gait Analysis From Wearable Devices Using Image And Signal Processing, Bradley A. Schneider
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We present the results of analyzing gait motion in-person video taken from a commercially available wearable camera embedded in a pair of glasses. The video is analyzed with three different computer vision methods to extract motion vectors from different gait sequences from four individuals for comparison against a manually annotated ground truth dataset. Using a combination of signal processing and computer vision techniques, gait features are extracted to identify the walking pace of the individual wearing the camera and are validated using the ground truth dataset. We perform an additional data collection with both the camera and a body-worn accelerometer …
Hamiltonicity In Bidirected Signed Graphs And Ramsey Signed Numbers, Mohammed A. Mutar
Hamiltonicity In Bidirected Signed Graphs And Ramsey Signed Numbers, Mohammed A. Mutar
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Strong connectivity, 2-factors, and their relevance to Hamiltonicity, have been intensively studied on various classes of directed and 2-colored graphs. In chapter one, we define strong connectivity and bidirected 2-factors on bidirected graphs as a common genralization for both directed graphs and 2-colored graphs. We give necessary and sufficient conditions for the existence of bidirected Hamilton cycles in the following bidirected signed graphs: ± Kn, ± K{n,n}, and - K{n,n}. The Ramsey number problem is considered an interesting problem in graph theory which asks for the minimum positive integer r that assures a 2-colored complete Kr has a monochramatic clique …
A Power Iteration Based Co-Training Approach To Achieve Convergence For Multi-View Clustering, Pavankalyan Yallamelli
A Power Iteration Based Co-Training Approach To Achieve Convergence For Multi-View Clustering, Pavankalyan Yallamelli
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Collecting diversified opinions is the key to achieve "the Wisdom of Crowd". In this work, we propose to use a novel multi-view clustering method to group the crowd so that diversified opinions can be effectively sampled from different groups of people.Clustering is the process of dividing input data into possible subsets, where every element (entity) in each subset is considered to be related by some similarity measure. For example, a set of social media users can be clustered using their locations or common interests. However, real-world data is often best represented by multiple views/dimensions. For example, a set of social …
Multi-Class Classification Of Textual Data: Detection And Mitigation Of Cheating In Massively Multiplayer Online Role Playing Games, Naga Sai Nikhil Maguluri
Multi-Class Classification Of Textual Data: Detection And Mitigation Of Cheating In Massively Multiplayer Online Role Playing Games, Naga Sai Nikhil Maguluri
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The success of any multiplayer game depends on the player’s experience. Cheating/Hacking undermines the player’s experience and thus the success of that game. Cheaters, who use hacks, bots or trainers are ruining the gaming experience of a player and are making him leave the game. As the video game industry is a constantly increasing multibillion dollar economy, it is crucial to assure and maintain a state of security. Players reflect their gaming experience in one of the following places: multiplayer chat, game reviews, and social media. This thesis is an exploratory study where our goal is to experiment and propose …
Pre-Mt. Simon Seismic Sequences Below West-Central Indiana: Local Interpretation And Regional Significance, Andrew Michael Parent
Pre-Mt. Simon Seismic Sequences Below West-Central Indiana: Local Interpretation And Regional Significance, Andrew Michael Parent
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Constraining the composition, structure, and origin of basement provinces, deep assemblages of Precambrian rocks, is largely dependent on deep boreholes and geophysical techniques. This is especially true for the eastern U.S. midcontinent. Here, I employ regional 2-D seismic reflection, Bouguer gravity, and aeromagnetic data to interpret the upper crust below west-central Indiana. Seismic reflection data were donated to Wright State University in 2015. Geopotential data are available through the USGS and affiliates. These geophysical data, together, are analyzed in a regional geologic context. Three distinct seismic stratigraphic sequences are observed on 2-D sections. The first, uppermost sequence, typified by continuous, …
Detection Of Ddos Attacks Against The Sdn Controller Using Statistical Approaches, Basheer Husham Ali Al-Mafrachi
Detection Of Ddos Attacks Against The Sdn Controller Using Statistical Approaches, Basheer Husham Ali Al-Mafrachi
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In traditional networks, switches and routers are very expensive, complex, and inflexible because forwarding and handling of packets are in the same device. However, Software Defined Networking (SDN) makes networks design more flexible, cheaper, and programmable because it separates the control plane from the data plane. SDN gives administrators of networks more flexibility to handle the whole network by using one device which is the controller. Unfortunately, SDN faces a lot of security problems that may severely affect the network operations if not properly addressed. Threat vectors may target main components of SDN such as the control plane, the data …
Detecting Information Leakage In Android Malware Using Static Taint Analysis, Soham P. Kelkar
Detecting Information Leakage In Android Malware Using Static Taint Analysis, Soham P. Kelkar
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According to Google, Android now runs on 1.4 billion devices. The growing popularity has attracted attackers to use Android as a platform to conduct malicious activities. To achieve these malicious activities some attacker choose to develop malicious Apps to steal information from the Android users. As the modern day smartphones process, a lot of sensitive information, information security, and privacy becoming a potential target for the attacker. The malicious Apps steal information from the infected phone and send this information to the attacker-controlled URLs using various Android sink functions. Therefore, it necessary to protect data as it can prove detrimental …
Ab Initio Study Of The Effects Of Humidity On Perovskite Based Hybrid Solar Cell Interfaces, Shantanu Rajendra Rachalwar
Ab Initio Study Of The Effects Of Humidity On Perovskite Based Hybrid Solar Cell Interfaces, Shantanu Rajendra Rachalwar
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Despite the impressive success of perovskite-based hybrid solar cells, their widespread usage has been limited partially owing to stability issues under working environmental conditions. Among these, the effects of humidity are some of the most significant. Water intercalation generally degrades the material, shortens its useful life, and reduces the efficiency of photovoltaic energy conversion. Understanding the reasons for these effects can be achieved through detailed and accurate atomic-scale analysis. Here, we study water intercalation at the interfaces of perovskite-based hybrid solar cell material and TiO2 electrode. Accurate ab initio computer simulations are used to obtain structural and electronic properties. We …
Automated Rendering Of Schema Diagram For Ontologies, Nazifa Karima
Automated Rendering Of Schema Diagram For Ontologies, Nazifa Karima
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Semantic Web extends the current web, using ontologies, metadata and other technologies to establish links between terms and concepts. This enables machines to automatically integrate information across different platforms utilizing the standard definitions. Furthermore, reasoning agents can infer new knowledge by gathering existing information and these additional connections between them. As a result of being designed and maintained independently, data sources exhibit highly heterogeneous nature. This increases the complexity of data integration and hinders interoperability. However, if we can align the overlapping concepts among different domains of knowledge, the prospect of achieving interoperability and integration without having any intermediate reasoning …
Development Of An Android Based Performance Assessment System For Motivational Interviewing Training, Sowmya Pappu
Development Of An Android Based Performance Assessment System For Motivational Interviewing Training, Sowmya Pappu
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Motivational Interviewing (MI) has been proved to be an effective Screening, Brief Intervention, and Referral to Treatment (SBIRT) technique. It is an evidence-based practice used to identify, reduce, and prevent problematic use, abuse, and dependence on alcohol and illicit drugs. It emphasizes on patient-centered counseling approach that can help resolve their ambivalence through a non-confrontational, goal-oriented style for eliciting behavior change from the patient, almost like patients talk themselves into change. This approach provokes less resistance and stimulates the progress of patients at their own pace towards deciding about planning, making and sustaining positive behavioral change. Thus, training medical professionals …
Hydrothermal Atomic Force Microscopy Investigation Of Barite Growth: The Role Of Spectator Ions In Elementary Step Edge Growth Kinetics And Hillock Morphology, Sarah A. Jindra
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To better understand the role of spectator ions in barite growth, the kinetics of step edge growth on barite (001) surfaces were studied under various salt solutions. Hydrothermal Atomic Force Microscopy (HAFM) was used to investigate the effect of background electrolytes (NaCl, NaBr and NaNO3) as a function of saturation index and ionic strength (I) on barite growth sourced at dislocations at 108 oC. Results show that hillock morphology is affected by I, as well as type of anion, where the prevalence of steps aligned on the [010] direction is highest under Cl- …
Terahertz Molecular Spectroscopy As A Tool For Analytical Probing Of Cellular Metabolism, Mitchell Cameron Paul
Terahertz Molecular Spectroscopy As A Tool For Analytical Probing Of Cellular Metabolism, Mitchell Cameron Paul
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Terahertz spectroscopy has found use as an analytical tool in determining chemical composition of exhaled human breath. This thesis demonstrates a novel application of this technology - analytical sensing of gaseous metabolic products of several types of human cell cultures. An innovative experimental system was developed for probing cellular metabolism using terahertz [THz] rotational spectroscopy. Gaseous emissions of cell cultures were analyzed and compared between several cell types. Cancerous and healthy lung cells as well as cancerous liver cells were studied. This technique carries a lot of promise as a noninvasive method of distinguishing between cell types and identifying cell …
Efficient Reasoning Algorithms For Fragments Of Horn Description Logics, David Carral
Efficient Reasoning Algorithms For Fragments Of Horn Description Logics, David Carral
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We characterize two fragments of Horn Description Logics and we define two specialized reasoning algorithms that effectively solve the standard reasoning tasks over each of such fragments. We believe our work to be of general interest since (1) a rather large proportion of real-world Horn ontologies belong to some of these two fragments and (2) the implementations based on our reasoning approach significantly outperform state-of-the-art reasoners. Claims (1) and (2) are extensively proven via empirically evaluation.
The Synthesis Of 3,5-Difluorobenzophenone Derivatives And Their Corresponding Peek Copolymers, Rachael Stuck
The Synthesis Of 3,5-Difluorobenzophenone Derivatives And Their Corresponding Peek Copolymers, Rachael Stuck
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Poly(aryl ether ketone)s (PAEK) are high performance thermoplastics, which are chemically robust, semi-crystalline, and stable at high temperatures. Of the family of PAEKs, poly(ether ether ketone) (PEEK) is a well-known semi-crystalline thermoplastic widely used for electronics, energy, industrial, and medical applications due to its resistance to solvents, radiation, heat, and other environmental factors. The traditional PEEK is prepared from 4,4’-difluorobenzophenone (2) and disodium hydroquinone. However, a challenge is processability, since due to its highly crystalline nature, PEEK possesses very limited solubility. An approach to solve these issues is to pre-functionalize PEEK polymers synthesized by nucleophilic aromatic substitution from 3,5-difluorobenzophenone (1) …
Distance Learning And Attribute Importance Analysis By Linear Regression On Idealized Distance Functions, Rupesh Kumar Singh
Distance Learning And Attribute Importance Analysis By Linear Regression On Idealized Distance Functions, Rupesh Kumar Singh
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A good distance metric is instrumental on the performance of many tasks including classification and data retrieval. However, designing an optimal distance function is very challenging, especially when the data has high dimensions.Recently, a number of algorithms have been proposed to learn an optimal distance function in a supervised manner, using data with class labels. In this thesis we proposed methods to learn an optimal distance function that can also indicate the importance of attributes. Specifically, we present several ways to define idealized distance functions, two of which involving distance error correction involving KNN classification, and another involving a two-constant …
Oclep+: One-Class Intrusion Detection Using Length Of Patterns, Sai Kiran Pentukar
Oclep+: One-Class Intrusion Detection Using Length Of Patterns, Sai Kiran Pentukar
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In an earlier paper, a method called One-class Classification using Length statistics of (jumping) Emerging Patterns (OCLEP) was introduced for masquerader detection. Jumping emerging patterns (JEPs) for a test instance are minimal patterns that match the test instance but they do not match any normal instances. OCLEP was based on the observation that one needs long JEPs to differentiate an instance of one class from instances of the same class, but needs short JEPs to differentiate an instance of one class from instances of a different class. In this thesis, we present OCLEP+, One-class Classification using Length statistics of Emerging …
Smart Ev Charging For Improved Sustainable Mobility, Ashutosh Shivakumar
Smart Ev Charging For Improved Sustainable Mobility, Ashutosh Shivakumar
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The landscape of energy generation and utilization is witnessing an unprecedented change. We are at the threshold of a major shift in electricity generation from utilization of conventional sources of energy like coal to sustainable and renewable sources of energy like solar and wind. On the other hand, electricity consumption, especially in the field of transportation, due to advancements in the field of battery research and exponential technologies like vehicle telematics, is seeing a shift from carbon based to Lithium based fuel. Encouraged by 1. Decrease in the cost of Li – ion based batteries 2. Breakthroughs in battery chemistry …
Exploiting Alignments In Linked Data For Compression And Query Answering, Amit Krishna Joshi
Exploiting Alignments In Linked Data For Compression And Query Answering, Amit Krishna Joshi
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Linked data has experienced accelerated growth in recent years due to its interlinking ability across disparate sources, made possible via machine-processable RDF data. Today, a large number of organizations, including governments and news providers, publish data in RDF format, inviting developers to build useful applications through reuse and integration of structured data. This has led to tremendous increase in the amount of RDF data on the web. Although the growth of RDF data can be viewed as a positive sign for semantic web initiatives, it causes performance bottlenecks for RDF data management systems that store and provide access to data. …
Methylmercury Bioaccumulation In Spotted Salamanders (Ambystoma Maculatum) In Southern Ohio, Rachel Alex Walker
Methylmercury Bioaccumulation In Spotted Salamanders (Ambystoma Maculatum) In Southern Ohio, Rachel Alex Walker
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Mercury (Hg) is a volatile element increasing in concentration in the environment as a result of anthropogenic emissions. Microorganisms can transform mercury into monomethylmercury (MMHg), the form of Hg that bioaccumulates, biomagnifies, and can harm humans and wildlife. Most studies of MMHg bioaccumulation in wildlife have focused on aquatic organisms due to consumption of fish being the primary route of human exposure to MMHg. However, organisms in terrestrial ecosystems also are exposed to MMHg that may impact ecosystem biodiversity, food-web dynamics, and organisms and ecosystem health. I investigated bioaccumulation and maternal transfer of MMHg in spotted salamanders (Ambystoma maculatum) captured …
Experimental Investigation Of A Parametric Excitation Of Whistler Waves, Nathan E. Zechar
Experimental Investigation Of A Parametric Excitation Of Whistler Waves, Nathan E. Zechar
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Previous theoretical work has shown that a parametric interaction between electrostatic lower oblique resonance (LOR) and ion acoustic waves (IAW) can produce electromagnetic whistler waves in a cold magnetized plasma. It was also demonstrated theoretically that this interaction can more efficiently generate electromagnetic whistler waves than by direct excitation using a conventional loop antenna. For the purpose of experimentally validating the above result, an experimental facility was designed and constructed utilizing a vacuum chamber, electromagnets, and a helicon plasma source array capable of producing a volume of plasma with high density and spatial uniformity. Additionally, positioning equipment and plasma diagnostics …
Conditional Correlation Analysis, Sanjeev Bhatta
Conditional Correlation Analysis, Sanjeev Bhatta
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Correlation analysis is a frequently used statistical measure to examine the relationship among variables in different practical applications. However, the traditional correlation analysis uses an overly simplistic method to do so. It measures how two variables are related in an application by examining only their relationship in the entire underlying data space. As a result, traditional correlation analysis may miss a strong correlation between those variables especially when that relationship exists in the small subpopulation of the larger data space. This is no longer acceptable and may lose a fair share of information in this era of Big Data which …