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Articles 1 - 30 of 215
Full-Text Articles in Entire DC Network
Ontogenetic Scaling Patterns And Functional Anatomy Of The Pelvic Limb Musculature In Emus (Dromaius Novaehollandiae), Luis P. Lamas, Russell P. Main, John R. Hutchinson
Ontogenetic Scaling Patterns And Functional Anatomy Of The Pelvic Limb Musculature In Emus (Dromaius Novaehollandiae), Luis P. Lamas, Russell P. Main, John R. Hutchinson
Department of Basic Medical Sciences Faculty Publications
Emus (Dromaius novaehollandiae) are exclusively terrestrial, bipedal and cursorial ratites with some similar biomechanical characteristics to humans. Their growth rates are impressive, as their body mass increases eighty-fold from hatching to adulthood whilst maintaining the same mode of locomotion throughout life. These ontogenetic characteristics stimulate biomechanical questions about the strategies that allow emus to cope with their rapid growth and locomotion, which can be partly addressed via scaling (allometric) analysis of morphology. In this study we have collected pelvic limb anatomical data (muscle architecture, tendon length, tendon mass and bone lengths) and calculated muscle physiological cross sectional area …
Privacy-Preserving And Outsourced Multi-User K-Means Clustering, Bharath Samanthula, Fang-Yu Rao, Elisa Bertino, Xun Yi, Dangxi Liu
Privacy-Preserving And Outsourced Multi-User K-Means Clustering, Bharath Samanthula, Fang-Yu Rao, Elisa Bertino, Xun Yi, Dangxi Liu
Cyber Center Publications
Many techniques for privacy-preserving data mining (PPDM) have been investigated over the past decade. Often, the entities involved in the data mining process are end-users or organizations with limited computing and storage resources. As a result, such entities may want to refrain from participating in the PPDM process. To overcome this issue and to take many other benefits of cloud computing, outsourcing PPDM tasks to the cloud environment has recently gained special attention. We consider the scenario where n entities outsource their databases (in encrypted format) to the cloud and ask the cloud to perform the clustering task on their …
Misalignments: Challenges In Cultivating Science Faculty With Education Specialties In Your Department, Seth D. Bush, Nancy Pelaez, James A. Rudd Ii, Michael T. Stevens, Kimberly D. Tanner, Kathy S. Williams
Misalignments: Challenges In Cultivating Science Faculty With Education Specialties In Your Department, Seth D. Bush, Nancy Pelaez, James A. Rudd Ii, Michael T. Stevens, Kimberly D. Tanner, Kathy S. Williams
PIBERG Publications
Science Faculty with Education Specialties (SFES) are increasingly being hired across the United States. However, little is known about the motivations for SFES hiring or the potential or actual impact of SFES. In the context of a recent national survey of US SFES, we investigated SFES perceptions about these issues. Strikingly, perceptions about reasons for hiring SFES were poorly aligned with perceptions about potential and actual contributions reported by SFES themselves, and the advice they extended to beginning SFES was varied. While preparation of future teachers and departmental teaching needs were common reasons offered for SFES hiring, the potential and …
Poster: Protecting Against Data Exfiltration Insider Attacks Through Application Programs, Asmaa Mohamed Sallama, Elisa Bertino
Poster: Protecting Against Data Exfiltration Insider Attacks Through Application Programs, Asmaa Mohamed Sallama, Elisa Bertino
Cyber Center Publications
In this paper, we describe a system that distinguishes be- tween legitimate and malicious database transactions per- formed by application programs. Our system is particularly useful for protecting against code-modification attacks performed by insiders who have access to and can change the programs' source code to make them execute different queries than those they are expected to execute. Our system works with any type of DBMS and requires minimum modification to application programs.
Advanced Iii-V / Si Nano-Scale Transistors And Contacts: Modeling And Analysis, Seung Hyun Park
Advanced Iii-V / Si Nano-Scale Transistors And Contacts: Modeling And Analysis, Seung Hyun Park
Open Access Dissertations
The exponential miniaturization of Si CMOS technology has been a key to the electronics revolution. However, the continuous downscaling of the gate length becomes the biggest challenge to maintain higher speed, lower power, and better electrostatic integrity for each following generation. Hence, novel devices and better channel materials than Si are considered to improve the metal-oxide-semiconductor field-effect transistors (MOSFETs) device performance. III-V compound semiconductors and multi-gate structures are being considered as promising candidates in the next CMOS technology. III-V and Si nano-scale transistors in different architectures are investigated (1) to compare the performance between InGaAs of III-V compound semiconductors and …
Structural Characterization Of Multimetallic Nanoparticles, Vineetha Mukundan
Structural Characterization Of Multimetallic Nanoparticles, Vineetha Mukundan
Open Access Dissertations
Bimetallic and trimetallic alloy nanoparticles have enhanced catalytic activities due to their unique structural properties. Using in situ time-resolved synchrotron based x-ray diffraction, we investigated the structural properties of nanoscale catalysts undergoing various heat treatments. Thermal treatment brings about changes in particle size, morphology, dispersion of metals on support, alloying, surface electronic properties, etc. First, the mechanisms of coalescence and grain growth in PtNiCo nanoparticles supported on planar silica on silicon were examined in detail in the temperature range 400-900°C. The sintering process in PtNiCo nanoparticles was found to be accompanied by lattice contraction and L10chemical ordering. …
Energy Production, Distribution, And Pollution Controls: Combining Engineering And Economic Analysis To Enhance Efficiency And Policy Design, David F. Perkis
Energy Production, Distribution, And Pollution Controls: Combining Engineering And Economic Analysis To Enhance Efficiency And Policy Design, David F. Perkis
Open Access Dissertations
Three published articles are presented which focus on enhancing various aspects of the energy supply chain. While each paper adopts a different methodology, all three combine engineering data and/or techniques with economic analysis to improve efficiency or policy design within energy markets. ^ The first paper combines a chemical engineering plant design model with an economic assessment of product enhancements within an ethanol production facility. While a new chemical process is shown to achieve greater ethanol yields, the animal feed by-products are denatured and decrease in value due to the degradation of a key nutritional amino acid. Overall, yield increases …
Migratory Ecology Of Sea Turtles, Nathan Jack Robinson
Migratory Ecology Of Sea Turtles, Nathan Jack Robinson
Open Access Dissertations
Establishing the movement patterns of free-ranging animals is imperative to understanding their behavior and ecology, and is often necessary for designing effective conservation-strategies. This is especially true for migratory species, such as sea turtles, whose long-distance movements form a major component of their life history. In this thesis, I investigated which factors are driving the migratory behavior of the leatherback turtleDermochelys coriacea. Firstly, I examined whether the timing of the nesting season (nesting phenology) is influenced by oceanographic conditions along the pre-nesting migratory route or by variation in population structure. The discovery that nesting phenology appears more influenced by …
A New Passive Surface Water Flux Meter For Simultaneous Measurement Of Contaminant And Water Fluxes In Streams And Rivers, Stephen A. Sassman
A New Passive Surface Water Flux Meter For Simultaneous Measurement Of Contaminant And Water Fluxes In Streams And Rivers, Stephen A. Sassman
Open Access Dissertations
A passive surface water flux meter (PSFM) for measurement of contaminant concentration/flux in rivers and streams is described and tested. The novel PSFM design was developed for portability and ease of adaptability for a variety of contaminant classes. Although previous designs have been evaluated under constant flow conditions, the PSFM has never been used for measurement of pesticides or hormones and this is the first time that it has been tested under transient flow. Discharge through the PSFM is assessed by measuring miscible displacement of alcohol tracers from granular activated carbon (GAC). The tracer retardation factors (R) measured by miscible …
Digital Provenance - Models, Systems, And Applications, Salmin Sultana
Digital Provenance - Models, Systems, And Applications, Salmin Sultana
Open Access Dissertations
Data provenance refers to the history of creation and manipulation of a data object and is being widely used in various application domains including scientific experiments, grid computing, file and storage system, streaming data etc. However, existing provenance systems operate at a single layer of abstraction (workflow/process/OS) at which they record and store provenance whereas the provenance captured from different layers provide the highest benefit when integrated through a unified provenance framework. To build such a framework, a comprehensive provenance model able to represent the provenance of data objects with various semantics and granularity is the first step. In this …
Rational Multiparty Computation, John Ross Wallrabenstein
Rational Multiparty Computation, John Ross Wallrabenstein
Open Access Dissertations
The field of rational cryptography considers the design of cryptographic protocols in the presence of rational agents seeking to maximize local utility functions. This departs from the standard secure multiparty computation setting, where players are assumed to be either honest or malicious. ^ We detail the construction of both a two-party and a multiparty game theoretic framework for constructing rational cryptographic protocols. Our framework specifies the utility function assumptions necessary to realize the privacy, correctness, and fairness guarantees for protocols. We demonstrate that our framework correctly models cryptographic protocols, such as rational secret sharing, where existing work considers equilibrium concepts …
Image Analysis Using Visual Saliency With Applications In Hazmat Sign Detection And Recognition, Bin Zhao
Image Analysis Using Visual Saliency With Applications In Hazmat Sign Detection And Recognition, Bin Zhao
Open Access Dissertations
Visual saliency is the perceptual process that makes attractive objects "stand out" from their surroundings in the low-level human visual system. Visual saliency has been modeled as a preprocessing step of the human visual system for selecting the important visual information from a scene. We investigate bottom-up visual saliency using spectral analysis approaches. We present separate and composite model families that generalize existing frequency domain visual saliency models. We propose several frequency domain visual saliency models to generate saliency maps using new spectrum processing methods and an entropy-based saliency map selection approach. A group of saliency map candidates are then …
Nonparametric Variable Selection And Dimension Reduction Methods And Their Applications In Pharmacogenomics, Jingyi Zhu
Nonparametric Variable Selection And Dimension Reduction Methods And Their Applications In Pharmacogenomics, Jingyi Zhu
Open Access Dissertations
Nowadays it is common to collect large volumes of data in many fields with an extensive amount of variables, but often a small or moderate number of samples. For example, in the analysis of genomic data, the number of genes can be very large, varying from tens of thousands to several millions, whereas the number of samples is several hundreds to thousands. Pharmacogenomics is an example of genomics data analysis that we are considering here. Pharmacogenomics research uses whole-genome genetic information to predict individuals' drug response. Because whole-genome data are high dimensional and their relationships to drug response are complicated, …
Energy-Efficient Information Inference In Wireless Sensor Networks Based On Graphical Modeling, Wei Zhao
Energy-Efficient Information Inference In Wireless Sensor Networks Based On Graphical Modeling, Wei Zhao
Open Access Dissertations
This dissertation proposes a systematic approach, based on a probabilistic graphical model, to infer missing observations in wireless sensor networks (WSNs) for sustaining environmental monitoring. This enables us to effectively address two critical challenges in WSNs: (1) energy-efficient data gathering through planned communication disruptions resulting from energy-saving sleep cycles, and (2) sensor-node failure tolerance in harsh environments. In our approach, we develop a pairwise Markov Random Field (MRF) to model the spatial correlations in a sensor network. Our MRF model is first constructed through automatic learning from historical sensed data, by using Iterative Proportional Fitting (IPF). When the MRF model …
Tunable Impedance Matching Network Fundamental Limits And Pracitical Considerations, Wesley N. Allen
Tunable Impedance Matching Network Fundamental Limits And Pracitical Considerations, Wesley N. Allen
Open Access Dissertations
As wireless devices continue to increase in utility while decreasing in dimension, design of the RF front-end becomes more complex. It is common for a single handheld device to operate on a plethora of frequency bands, utilize multiple antennae, and be subjected to a variety of environments. One complexity in particular which arises from these factors is that of impedance mismatch. Recently, tunable impedance matching networks have begun to be implemented to address this problem. ^ This dissertation presents the first in-depth study on the frequency tuning range of tunable impedance matching networks. Both the fundamental limitations of ideal networks …
Particle Swarms In Confining Geometries, Eric Robert Boomsma
Particle Swarms In Confining Geometries, Eric Robert Boomsma
Open Access Dissertations
The transport of micro- and nano-particles in subsurface fluid deposits is an area of increasing interest due to the rising use of these particles for consumer and industrial purposes. Subsurface particle transport is complicated by the presence of fractures and fracture networks which govern the paths that particles will be able to take. In this thesis, subsurface particle transport will be investigated using particle swarms; collections of hydro-dynamically interacting particles which exhibit group behavior. The effects of fluid viscosity, particle properties, fracture geometry, and fracture aperture on swarm behavior were experimentally investigated. ^ Swarm parameters were examined in time with …
Supersonic Jet Spectroscopy Of Synthetic Foldamers, Multichromophores, And Their Water Containing Clusters, Evan Gardner Buchanan
Supersonic Jet Spectroscopy Of Synthetic Foldamers, Multichromophores, And Their Water Containing Clusters, Evan Gardner Buchanan
Open Access Dissertations
A central theme specific to this dissertation concerns the conformation-specific spectroscopy of flexible molecules in an effort to bridge the complexity gap. Generally, molecules in the complexity gap have several flexible coordinates yet conformational isomerization still occurs along a simple reaction coordinate on the potential energy surface. Molecules in this regime benefit greatly from experiments probing the potential energy surfaces and provide a means to develop and test new theories in an effort to explain more complex system. These measurements are possible through the utilization of a supersonic jet expansion to collisionally cool molecules into their vibrational zero-point levels, collapsing …
Aircraft-Based Measurements For The Identification And Quantification Of Sources And Sinks In The Carbon Cycle, Dana R Caulton
Aircraft-Based Measurements For The Identification And Quantification Of Sources And Sinks In The Carbon Cycle, Dana R Caulton
Open Access Dissertations
Improved quantification of carbon-cycle sources and sinks is an important requirement for determining mitigation strategies and modeling future climate interactions. Analytically robust measurements require high-precision instrumentation and thoughtful experimental design to produce rigorous and reproducible results despite complex and quickly changing meteorological and environmental conditions. Here, an aircraft platform equipped with a high-precision cavity ring-down spectrometer for CO2, CH4 and H2O quantification was used to acquire data from previously un-sampled sources. The aircraft mass-balance technique was used to quantify CH4 emissions from natural gas well pads in the drilling stage, which were 2-3 orders of …
Effects Of Energetic Irradiation On Materials And Devices Based On Graphene And Topological Insulators, Isaac Childres
Effects Of Energetic Irradiation On Materials And Devices Based On Graphene And Topological Insulators, Isaac Childres
Open Access Dissertations
This report focuses on the optical and electronic properties of graphene and topological insulators and how these Dirac fermion systems interact with energetic irradiation. We first present data exploring the effects of electron-beam and oxygen plasma induced disorder on the electronic properties and Raman spectra of graphene. These initial investigations were important for relating Raman peak intensities and weak localization features to each other and to an average disorder length in graphene, LD. ^ We then integrate gate-effect measurements into the Raman spectroscopy study to fully explore the relationships between carrier density, disorder and Raman spectrum signatures. We …
Epistemic Uncertainty Quantification In Scientific Models, Xiaoxiao Chen
Epistemic Uncertainty Quantification In Scientific Models, Xiaoxiao Chen
Open Access Dissertations
In the field of uncertainty quantification (UQ), epistemic uncertainty often refers to the kind of uncertainty whose complete probabilistic description is not available, largely due to our lack of knowledge about the uncertainty. Quantification of the impacts of epistemic uncertainty is naturally difficult, because most of the existing stochastic tools rely on the specification of the probability distributions and thus do not readily apply to epistemic uncertainty. And there have been few studies and methods to deal with epistemic uncertainty. A recent work can be found in [J. Jakeman, M. Eldred, D. Xiu, Numerical approach for quantification of epistemic uncertainty, …
Energy Conservation And Efficiency In Manufacturing: Employee Decisions And Actions, Marla Dee Corson
Energy Conservation And Efficiency In Manufacturing: Employee Decisions And Actions, Marla Dee Corson
Open Access Dissertations
Energy conservation and intensity reduction efforts are becoming increasingly more prevalent and ultimately necessary, especially for energy-intensive manufacturing companies in particular to stay in business. Typical actions are to change technology, and thus, realize an energy cost savings in overall utilities. However, in today's competitive market, with climate change and other environmental impacts as well, it is necessary for the cost of energy to be valued as a cost of making a product, and thus, managed at the same level as the cost of labor or materials. This research assessed human behavior at the individual and organizational levels both at …
Transport Studies Of Reentrant Integer Quantum Hall States Forming In The Two-Dimensional Electron Gas, Nianpei Deng
Transport Studies Of Reentrant Integer Quantum Hall States Forming In The Two-Dimensional Electron Gas, Nianpei Deng
Open Access Dissertations
The two dimensional electron gas subjected to a magnetic field has been a model system in contemporary condensed matter physics which generated many beautiful experiments as well as novel fundamental concepts. These novel concepts are of broad interests and have benefited other fields of research. For example, the observations of conventional odd-denominator fractional quantum Hall states have enriched many-body physics with important concepts such as fractional statistics and composite fermions. The subsequent discovery of the enigmatic even-denominator ν=5/2 fractional quantum Hall state has led to more interesting concepts such as non-Abelian statistics and pairing of composite fermions which can be …
Irrigation With Treated Wastewater: Potential And Limitations, Anne Dare
Irrigation With Treated Wastewater: Potential And Limitations, Anne Dare
Open Access Dissertations
As the world population increases and resources become more coveted, water emerges as a key component to global food security. The Middle East and North Africa (MENA) is among the driest regions in the world: containing just one percent of the world's freshwater resources. An increasing population creates greater quantities of wastewater and demands greater quantities of food, so an obvious connection arises. However logical wastewater reuse may be for bridging the irrigation supply-demand gap in this arid region, significant limitations prevent widespread adoption. The overall goal of this research is to take a holistic view of the limitations facing …
Probabilistic Uncertainty Quantification And Experiment Design For Nonlinear Models: Applications In Systems Biology, Vu Cao Duy Thien Dinh
Probabilistic Uncertainty Quantification And Experiment Design For Nonlinear Models: Applications In Systems Biology, Vu Cao Duy Thien Dinh
Open Access Dissertations
Despite the ever-increasing interest in understanding biology at the system level, there are several factors that hinder studies and analyses of biological systems. First, unlike systems from other applied fields whose parameters can be effectively identified, biological systems are usually unidentifiable, even in the ideal case when all possible system outputs are known with high accuracy. Second, the presence of multivariate bifurcations often leads the system to behaviors that are completely different in nature. In such cases, system outputs (as function of parameters/inputs) are usually discontinuous or have sharp transitions across domains with different behaviors. Finally, models from systems biology …
Efficient And Coherent Frequency Conversions And Nonlinear Interference In Optical Parametric And Atomic Raman Processes, Yu Ding
Open Access Dissertations
By implementing a parametric down-conversion process with a strong signal field injection, we demonstrate that frequency down-conversion from pump photons to idler photons can be a coherent process. Contrary to a common misconception, we show that the process can be free of quantum noise. With an interference experiment, we demonstrate that coherence is preserved in the conversion process. This technique could lead to a high-fidelity quantum state transfer from a high-frequency photon to a low-frequency photon and connect a missing link in quantum networks. ^ Coherent and efficient nonlinear interaction and frequency conversion are of great interest in many areas …
Dynamic Control Of Plasmonic Resonances With Graphene Based Nanostructures, Naresh Kumar Emani
Dynamic Control Of Plasmonic Resonances With Graphene Based Nanostructures, Naresh Kumar Emani
Open Access Dissertations
Light incident on a metallic structure excites collective oscillations of electrons termed as plasmons. These plasmons are useful in control and manipulation of information in nanoscale dimensions and at high operating frequencies. Hence, the field of plasmonics opens up the possibility of developing nanoscale optoelectronic circuitry for computing and sensing applications. One of the challenges in this effort is the lack of tunable plasmonic resonance. Currently, the resonant wavelength of plasmonic structure is fixed by the material and structural parameters. Post-fabrication dynamic control of a plasmonic resonance is rather limited.^ In this thesis we explore the combination of optoelectrical properties …
Techniques For Improving The Scalability Of Data Center Networks, Advait Dixit
Techniques For Improving The Scalability Of Data Center Networks, Advait Dixit
Open Access Dissertations
Data centers require highly scalable data and control planes for ensuring good performance of distributed applications. Along the data plane, network throughput and latency directly impact application performance metrics. This has led researchers to propose high bisection bandwidth network topologies based on multi-rooted trees for data center networks. However, such topologies require efficient traffic splitting algorithms to fully utilize all available bandwidth. Along the control plane, the centralized controller for software-defined networks presents new scalability challenges. The logically centralized controller needs to scale according to network demands. Also, since all services are implemented in the centralized controller, it should allow …
Determination Of Disulfide Bond Connecting Patterns Via Tandem Mass Spectrometry (Msn) And Biomolecular Ion/Radical Reactions, Kirt Lenroy Durand
Determination Of Disulfide Bond Connecting Patterns Via Tandem Mass Spectrometry (Msn) And Biomolecular Ion/Radical Reactions, Kirt Lenroy Durand
Open Access Dissertations
Disulfide bond formation is one of the most common post translational modifications to occur in proteins and naturally occurring peptides. Disulfide bond formation plays a critical role in stabilizing their three-dimensional structure; therefore, it is very important to pinpoint the correct disulfide bond connecting pattern in order to fully understand the biological functions of these proteins and peptides. To fully characterize an analyte containing disulfide bonds, the sequence must first be known followed by the disulfide bond connecting pattern. This presents an analytical challenge as there are very few methodologies that can produce those essential pieces of information. The gold …
Quantitative Modeling Of Spatiotemporal Systems: Simulation Of Biological Systems And Analysis Of Error Metric Effects On Model Fitting, James Hengenius
Quantitative Modeling Of Spatiotemporal Systems: Simulation Of Biological Systems And Analysis Of Error Metric Effects On Model Fitting, James Hengenius
Open Access Dissertations
Understanding the biophysical processes underlying biological and biotechnological processes is a prerequisite for therapeutic treatments and technological innovation. With the exponential growth of computational processing speed, experimental findings in these fields have been complemented by dynamic simulations of developmental signaling and genetic interactions. Models provide means to evaluate "emergent" properties of systems sometimes inaccessible by reductionist approaches, making them test beds for biological inference and technological refinement.^ The complexity and interconnectedness of biological processes pose special challenges to modelers; biological models typically possess a large number of unknown parameters relative to their counterparts in other physical sciences. Estimating these parameter …
Towards A Paradigm Shift In The Modeling Of Soil Organic Carbon Decomposition For Earth System Models, Yujie He
Open Access Dissertations
Soils are the largest terrestrial carbon pools and contain approximately 2200 Pg of carbon. Thus, the dynamics of soil carbon plays an important role in the global carbon cycle and climate system. Earth System Models are used to project future interactions between terrestrial ecosystem carbon dynamics and climate. However, these models often predict a wide range of soil carbon responses and their formulations have lagged behind recent soil science advances, omitting key biogeochemical mechanisms. In contrast, recent mechanistically-based biogeochemical models that explicitly account for microbial biomass pools and enzyme kinetics that catalyze soil carbon decomposition produce notably different results and …