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The Effect Of Increased Quizzing On Retention Of Material By Histology Laboratory Students, R. J. Nogrady Jan 2018

The Effect Of Increased Quizzing On Retention Of Material By Histology Laboratory Students, R. J. Nogrady

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In traditional approaches to teaching, examinations and quizzes have been considered secondary activities, designed to assess and motivate learning, but not generally as teaching tools in themselves (Roediger and Butler, 2011). However, abundant psychological research in laboratory settings indicates that the act of taking a quiz or examination on the material can directly enhance retention of that material in ways which are distinct from and often more effective than restudying of the material. This phenomenon is now referred to as the testing effect. The testing effect hypothesis asserts that (1) repeated retrieval attempts have a longer lasting effect on retention …

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Divergent Scaling Of Miniature Excitatory Post-Synaptic Current Amplitudes In Homeostatic Plasticity, Amanda L. Hanes Jan 2018

Divergent Scaling Of Miniature Excitatory Post-Synaptic Current Amplitudes In Homeostatic Plasticity, Amanda L. Hanes

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Synaptic plasticity, the ability of neurons to modulate their inputs in response to changing stimuli, occurs in two forms which have opposing effects on synaptic physiology. Hebbian plasticity induces rapid, persistent changes at individual synapses in a positive feedback manner. Homeostatic plasticity is a negative feedback effect that responds to chronic changes in network activity by inducing opposing, network-wide changes in synaptic strength and restoring activity to its original level. The changes in synaptic strength can be measured as changes in the amplitudes of miniature post-synaptic excitatory currents (mEPSCs). Together, the two forms of plasticity underpin nervous system functions such …

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Temperature Robust Longwave Infrared Hyperspectral Change Detection, Nicholas A. Durkee Jan 2018

Temperature Robust Longwave Infrared Hyperspectral Change Detection, Nicholas A. Durkee

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In this thesis, we develop and evaluate change detection algorithms for longwave infrared (LWIR) hyperspectral imagery. Because measured radiance in the LWIR domain depends on unknown surface temperature, care must be taken to prevent false alarms resulting from in-scene temperature differences that appear as material changes. We consider fewer variables. Examples using synthetic and measured data quantify the computational complexity of the proposed methods and demonstrate orders of magnitude reduction in false alarm rates relative to existing methods. Four strategies to mitigate this effect. In the first, pre-processing via traditional temperatureemissivity separation yields approximately temperature-invariant emissivity vectors for use in …

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A Stochastic Petri Net Reverse Engineering Methodology For Deep Understanding Of Technical Documents, Giorgia Rematska Jan 2018

A Stochastic Petri Net Reverse Engineering Methodology For Deep Understanding Of Technical Documents, Giorgia Rematska

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Systems Reverse Engineering has gained great attention over time and is associated with numerous different research areas. The importance of this research derives from several technological necessities. Security analysis and learning purposes are two of them and can greatly benefit from reverse engineering. More specifically, reverse engineering of technical documents for deeper automatic understanding is a research area where reverse engineering can contribute a lot. In this PhD dissertation we develop a novel reverse engineering methodology for deep understanding of architectural description of digital hardware systems that appear in technical documents. Initially, we offer a survey on reverse engineering of …

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Interpretation Of A Seismic Reflection Survey And Geophysical Well Logs In Jay County, Indiana: Orientation And Composition Of A Carbonate Layer Below The Mount Simon Sandstone, Md Saiful Alam Jan 2018

Interpretation Of A Seismic Reflection Survey And Geophysical Well Logs In Jay County, Indiana: Orientation And Composition Of A Carbonate Layer Below The Mount Simon Sandstone, Md Saiful Alam

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In August 2017, a dynamite-sourced 2D seismic reflection survey was conducted along a gravel road northwest of Portland, Indiana. The main focus of the survey was to determine the orientation of a lithologic unit previously identified by Welder (2014) on a similar 2D seismic reflection survey in the same area. Drillers logs of two wells within this area identified a limestone layer below the Mt. Simon Sandstone, and a similar limestone layer was identified in a well drilled in Clark County, Ohio. As the focus of this study, this limestone layer will be informally named the `Votaw limestone'. The seismic …

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Building An Abstract-Syntax-Tree-Oriented Symbolic Execution Engine For Php Programs, Jin Huang Jan 2018

Building An Abstract-Syntax-Tree-Oriented Symbolic Execution Engine For Php Programs, Jin Huang

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This thesis presents the design, implementation, and evaluation of an abstract-syntax-tree-oriented symbolic execution engine for the PHP programming language. As a symbolic execution engine, our system emulate the execution of a PHP program by assuming that all inputs are with symbolic rather than concrete values. While our system inherits the basic definition of symbolic execution, it fundamentally differs from existing symbolic execution implementations that mainly leverage intermediate representation (IRs) to operate. Specifically, our system directly takes the abstract syntax tree (AST) of a program as input and subsequently interprets this AST. Performing symbolic execution using AST offers unique advantages. First, …

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Slim Embedding Layers For Recurrent Neural Language Models, Zhongliang Li Jan 2018

Slim Embedding Layers For Recurrent Neural Language Models, Zhongliang Li

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Recurrent neural language (RNN) models are the state-of-the-art method for language modeling. When the vocabulary size is large, the space taken to store the model parameters becomes the bottleneck for the use of these type of models. We introduce a simple space compression method that stochastically shares the structured parameters at both the input and output embedding layers of RNN models to significantly reduce the size of model parameters, but still compactly represents the original input and the output embedding layers. The method is easy to implement and tune. Experiments on several data sets show that the new method achieves …

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Anthropogenic Noise Alters Avian Community Composition In Temperate Forests, Chelsea Jill Wright Jan 2018

Anthropogenic Noise Alters Avian Community Composition In Temperate Forests, Chelsea Jill Wright

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Noise is an under-appreciated source of pollution that can influence the spatial distribution of birds. In this study, I examined how noise frequency and intensity (both background noise (kHz) and decibel levels (dB)) affected avian richness, density, and number of birds that sing with the same frequency as anthropogenic noise (low note frequency). I also examined the responses of two species in detail, the Eastern Wood Pewee and the Acadian Flycatcher, because they lack song plasticity. I examined whether they responded to noise by avoiding "noisy" areas or shifting their song frequency. I examined the response of bird communities to …

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Fpga-Based Ir Localization Sensor, Samuel I. Susanto Jan 2018

Fpga-Based Ir Localization Sensor, Samuel I. Susanto

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Pursuit-evasion scenarios are common in both natural and man-made systems. Often times, the pursuer and evader maneuver in response to each others actions using relative information based on the geometry of the agents and potential obstacles within the environment. The pursuer needs the target's bearing angle in order to plan a trajectory or path to capture it. We propose an FPGA-based infrared sensor array to detect up to 6 agents' bearing angles simultaneously. The final output of the sensor is the bearing angle of other agents. The sensor was tested and validated experimentally. Implementing the sensor and transmitter pair on …

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Current Issues: Global And Cultural Studies, Ronald G. Helms Ph.D. Jan 2018

Current Issues: Global And Cultural Studies, Ronald G. Helms Ph.D.

Books Authored by Wright State Faculty/Staff

No abstract provided.

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Design Optimization Of A Non-Axisymmetric Endwall Contour For A High-Lift Low Pressure Turbine Blade, Jacob Allen Dickel Jan 2018

Design Optimization Of A Non-Axisymmetric Endwall Contour For A High-Lift Low Pressure Turbine Blade, Jacob Allen Dickel

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Various approaches have been used to shape the geometry at the junction of the endwall and the blade profile in high-lift low-pressure turbine passages in order to reduce the endwall losses. This thesis will detail the workflow to produce an optimized non-axisymmetric endwall contour design for a front-loaded high-lift research turbine profile. Validation of the workflow was performed and included a baseline planar and test contour case for a future optimization study. Endwall contours were defined using a series of Bezier curves across the passage to create a smooth surface. A parametric based approach was used to develop the test …

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3d Visualization And Interactive Image Manipulation For Surgical Planning In Robot-Assisted Surgery, Mohammadreza Maddah Jan 2018

3d Visualization And Interactive Image Manipulation For Surgical Planning In Robot-Assisted Surgery, Mohammadreza Maddah

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Robot-assisted surgery, or "robotic" surgery, has been developed to address the difficulties with the traditional laparoscopic surgery. The da Vinci (Intuitive Surgical, CA and USA) is one of the FDA-approved surgical robotic system which is widely used in the case of abdominal surgeries like hysterectomy and cholecystectomy. The technology includes a system of master and slave tele-manipulators that enhances manipulation precision. However, inadequate guidelines and lack of a human-machine interface system for planning the ports on the abdomen surface are some of the main issues with robotic surgery. Unreachable target and mid-surgery collisions between robotic arms are the major problems …

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Coupling Computational Fluid Dynamics Analysis And Optimization Techniques For Scramjet Engine Design, Nathan T. Mcgillivray Jan 2018

Coupling Computational Fluid Dynamics Analysis And Optimization Techniques For Scramjet Engine Design, Nathan T. Mcgillivray

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Various aspects of hypersonic vehicles are being rapidly explored for improved functionality. One of the main areas of consideration is the fueling of a Supersonic Combusting Ramjet (scramjet) engine. Using Computational Fluid Dynamics (CFD), computer simulations can be performed to analyze the flow physics of a scramjet. In this research, an optimization code, Dakota, is integrated with the CFD to optimize a set of parameters to maximum thrust. In this study, the fuel injection and combustion is replaced with heat sources. This simplification greatly reduces the computational requirements. Additionally, the 3D geometry is reduced to an axisymmetric 2D geometry because …

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An Autonomous Intelligent Robotic Wheelchair To Assist People In Need: Standing-Up, Turning-Around And Sitting-Down, Iosif Papadakis Ktistakis Jan 2018

An Autonomous Intelligent Robotic Wheelchair To Assist People In Need: Standing-Up, Turning-Around And Sitting-Down, Iosif Papadakis Ktistakis

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The world’s ageing population has significantly increased over the last decades, which will result in one of the most significant transformations of the twenty-first century. As people age, they become more vulnerable to diseases and their health may need constant monitoring. At the same time, the number of people who have some kind of disability is also increasing. These people with disabilities may need daily assistance and monitoring of their health condition that is provided by specialists (health providers) at a high cost. A possible solution to the aforementioned problem comes from the assistive and intelligent robotics research area. The …

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Interactive Visualization Of Search Results Of Large Document Sets, James D. Anderson Jan 2018

Interactive Visualization Of Search Results Of Large Document Sets, James D. Anderson

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When presented with many search results, finding information or patterns within the data poses a challenge. This thesis presents the design, implementation and evaluation of a visualization enabling users to browse through voluminous information and comprehend the data. Implemented with the JavaScript library Data Driven Documents (D3), the visualization represents the search as clusters of similar documents grouped into bubbles with the contents depicted as word-clouds. Highly interactive features such as touch gestures and intuitive menu actions allow for expeditious exploration of the search results. Other features include drag-and-drop functionality for articles among bubbles, merging nodes, and refining the search …

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Switching Neural Network Systems For Nonlinear Tracking, Manoj Ghimire Jan 2018

Switching Neural Network Systems For Nonlinear Tracking, Manoj Ghimire

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In this thesis, we consider the problem of tracking in complex nonlinear dynamical systems. While the Kalman filter is known to be the mean-squared error optimal tracker under linear dynamics and linear measurements, more sophisticated models and algorithms are required for complex dynamics. Here, we consider switching systems where the dynamical properties vary (''switch modes") over time. For example, the dynamics of a vehicle may switch as it transitions from interstate to urban conditions, human speech dynamics switch as speakers change, and stock market dynamics switch with discrete news events. In this work, we use mode-dependent neural networks to capture …

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Overwhelming The Saa System Of Delivery Uavs By Drone Swarming, Barry Lynn Pfaff Jan 2018

Overwhelming The Saa System Of Delivery Uavs By Drone Swarming, Barry Lynn Pfaff

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As the Internet continues to replace the brick-and-mortar store as the main place for purchasing goods, web-based companies are looking for ways to reduce the cost of delivering those goods. The use of Unmanned Aerial Vehicles, or UAVs, is one delivery method that is increasingly being used. These UAVs can be programmed with delivery routes and destinations and can complete the job while requiring limited intervention from human controllers. Sense and Avoidance (SAA) systems have recently been incorporated into these UAVs so that they can detect objects in their flight path, reroute the UAV accordingly and operate even more autonomously. …

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Fully Transparent Computer Vision Framework For Ship Detection And Tracking In Satellite Imagery, Jason T. Gottweis Jan 2018

Fully Transparent Computer Vision Framework For Ship Detection And Tracking In Satellite Imagery, Jason T. Gottweis

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Tracking of ships in satellite imagery is a challenging problem in remote sensing since it requires both object detection and object recognition. Most of the resources available only cover one of these problems and are often filled with machine learning techniques which are costly to train. Additionally, the techniques covered in these resources are often difficult to replicate or may be hard to combine with other solutions to get a full tracking algorithm. The proposed framework offers a transparent and efficient alternative to machine learning approaches and includes preprocessing, detection, and recognition needed for tracking. All components of the framework …

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Augment The Multi-Modal Interaction Capabilities Of Hololens Through Networked Sensory Devices, Subhadra Tummalapally Jan 2018

Augment The Multi-Modal Interaction Capabilities Of Hololens Through Networked Sensory Devices, Subhadra Tummalapally

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Augmented Reality (AR) places virtual contents along with real objects to enhance user perception in the physical environment. It is a technology that has shown great potential in many industries such as medicine, education and transportation. AR devices, such as Microsoft HoloLens, come with multi-modal interaction capabilities, such as voice, gesture and gaze, to support intuitive and reliable human-computer interactions. However, HoloLens gesture support is limited to simple gestures like tap, bloom and hold, it stops short to support meaningful interaction through full hand gesture and motion tracking, which may be critical in field operations of various industry practices in …

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Wideband Doa And Parameter Estimation Of Chirp Sources Using Dcft And Compressive Sensing, Luay A. Al Irkhis Jan 2018

Wideband Doa And Parameter Estimation Of Chirp Sources Using Dcft And Compressive Sensing, Luay A. Al Irkhis

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Direction of Arrival (DoA) estimation of chirp sources has many applications in radar, sonar and medical imaging. This work considers DoA and parameter estimation of wide- band chirp sources by the use of Discrete Chirp Fourier Transform (DCFT), its Compres- sive Sensing formulation (CS-DCFT) and Distributed CS. DCFT is similar to traditional Discrete Fourier Transform (DFT) but with chirp ba- sis and two-dimensional search over chirp rate and chirp frequency. For chirp parame- ters estimation, the proposed Compressive Sensing (CS) formulation uses the parametric DCFT basis to achieve superior estimator performance in polynomial time using Orthog- onal Matching Pursuit (OMP) …

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Lipin1 Regulates Skeletal Muscle Differentiation Through The Pkc/Hdac5/Mef2c:Myod -Mediated Pathway, Abdulrahman M. Jama Jan 2018

Lipin1 Regulates Skeletal Muscle Differentiation Through The Pkc/Hdac5/Mef2c:Myod -Mediated Pathway, Abdulrahman M. Jama

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Our previous characterization of global lipin1-deficient (fld) mice demonstrated that lipin1 played a novel role in skeletal muscle (SM) regeneration. The clinical relevance of lipin1 has been observed in patients with lipin1 null mutations where they exhibited severe rhabdomyolysis with aggregated and dysfunctional mitochondria. Lipin1 is a key gene that plays an important role in lipid biosynthesis and metabolism. It has dual functions as it contains a phosphatase activity that converts phosphatidic acid (PA) to diacylglycerol (DAG), the penultimate step in triglycerides (TAG) biosynthesis as well as transcriptional co-activator function. In the cytosol and ER, lipin1 carries out its lipid …

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Impact Of Noise Level On Task Performance And Workload And Correlation To Personality, Kaylee Marie Eakins Jan 2018

Impact Of Noise Level On Task Performance And Workload And Correlation To Personality, Kaylee Marie Eakins

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An ideal work environment supports a culture of high performance, low mental workload, and quick turnarounds. The impact of noise on three types of tasks in a lab work environment were examined while attempting to identify correlations between a subject's personality and their tolerance to noise. Neuroticism, agreeableness, conscientiousness, and extroversion correlated significantly with subjective (NASA-TLX) and physiological mental workload measures (heart rate variability and eye-tracking). The results show that task type impacts the performance, task duration, and mental workload. Although the physiological workload measures showed significant impact, the parameters standard deviation of R-R intervals and LF/HF ratio agreed with …

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Determination Of Dose Effects When Including Attenuation Of The Treatment Table Into Treatment Planning Computer Modeling, Abdullah Alshamrany Jan 2018

Determination Of Dose Effects When Including Attenuation Of The Treatment Table Into Treatment Planning Computer Modeling, Abdullah Alshamrany

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During radiation treatment, the patient commonly lies on a horizontal treatment table called a couch. The material used for the couch is chosen during the manufacturing process so as to minimize the effect of the couch on dose delivery, but it still has an effect. In addition to couch attenuation on the beam, the modern approach of using multiple beam angles for dose delivery makes treatment planning in the presence of the couch more challenging. However, the effect of the couch is not always considered when creating treatment plans, generally due to treatment planning software limitations. In this evaluation, the …

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Establishing A Quality Assurance Routine For Digital Imaging, Sulaiman Rana Al Jan 2018

Establishing A Quality Assurance Routine For Digital Imaging, Sulaiman Rana Al

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In the clinical medical physics field, Quality Assurance (QA) is a fundamental topic to insure patient safety and effective treatment. In recent years, the imaging hardware for diagnostic x-rays has been shifting to fully digital detectors. However, the quality assurance tests for such detectors in the clinical setting is still under development. In the Medical Imaging Department of Kettering Hospital (Kettering, OH), the currently accepted method of performing QA on detectors is to use an extensive set of tests suggested by the manufacturer. This set of tests requires about 90 minutes, which is too long for daily use. The goal …

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A Twitter-Based Study For Understanding Public Reaction On Zika Virus, Roopteja Muppalla Jan 2018

A Twitter-Based Study For Understanding Public Reaction On Zika Virus, Roopteja Muppalla

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In recent times, social media platforms like Twitter have become more popular and people have become more interactive and responsive than before. People often react to every news in real-time and within no-time, the information spreads rapidly. Even with viral diseases like Zika, people tend to share their opinions and concerns on social media. This can be leveraged by the health officials to track the disease in real-time thereby reducing the time lag due to traditional surveys. A faster and accurate detection of the disease can allow health officials to understand people's opinion of the disease and take necessary precautions …

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A Model For Seasonal Dynamic Networks, Jace D. Robinson Jan 2018

A Model For Seasonal Dynamic Networks, Jace D. Robinson

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Sociotechnological and geospatial processes exhibit time varying structure that make insight discovery challenging. This paper presents statistical model of systems with seasonal dynamics, modeled as a dynamic network, to address this challenge. It assumes the probability of edge formations depend on a type assigned to incident nodes and the current time. Time dependencies are modeled by unique seasonal processes. The model is studied on several synthetic and real datasets. Superior fidelity of this model on seasonal datasets compared to existing network models, while being able to remain equally accurate for networks with randomly changing structure, is shown. The model is …

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Hsv-1 Replication In Different Raw 264.7 And J774.1 Macrophage Phenotypes And Macrophage Viability Following Hsv-1 Infection, Yousef Nifaj Alanazi Jan 2018

Hsv-1 Replication In Different Raw 264.7 And J774.1 Macrophage Phenotypes And Macrophage Viability Following Hsv-1 Infection, Yousef Nifaj Alanazi

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HSV-1 is a ubiquitous virus capable of causing lifelong latent infection. The virus contains a large double strand DNA genome covered by an icosahedral capsid. HSV-1 is a cytolytic virus which can cause a lethal infection. The virus possesses critical protein ICP0 which is capable of interfering with host cell signaling and eventually prevent cell apoptosis. Innate immunity plays a crucial role in defense against HSV-1 infection and macrophage plays a significant role in the innate immune system. Macrophage cells can alter their behavior depending upon certain stimuli and tissue environments. Naive macrophage (M0) cells can be polarized to a …

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A Simulation Method For Studying Effects Of Site-Specific Clutter On Sar-Gmti Performance, Marcus James Campbell Jan 2018

A Simulation Method For Studying Effects Of Site-Specific Clutter On Sar-Gmti Performance, Marcus James Campbell

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Synthetic aperture radar (SAR) is an invaluable tool for detection of ground moving targets when combined with processing techniques of ground moving target indication (GMTI). This work investigates a simulation methodology for studying impact of site-specific ground clutter on SAR-GMTI performance. A terrain model is proposed and is based on digital terrain elevation data (DTED) and national land-use land-cover data (NLCD) as provided by the US Geological Survey. The proposed physical optics simulation method capitalizes on high-fidelity digital target models in combination with the proposed terrain model. SAR phase history is generated for a moving commercial target in situ of …

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The Impact Of Cytokines And Hsv-1 On Rab5 Protein Expression, F-Actin Cytoskeleton Rearrangement, And Cell Viability Of Uninfected And Virus-Infected M0, M1, And M2 Raw264.7 Murine Macrophages, Muhannad Falah Alruwaili Jan 2018

The Impact Of Cytokines And Hsv-1 On Rab5 Protein Expression, F-Actin Cytoskeleton Rearrangement, And Cell Viability Of Uninfected And Virus-Infected M0, M1, And M2 Raw264.7 Murine Macrophages, Muhannad Falah Alruwaili

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The endocytic pathway in all eukaryotic cells is necessary to maintain cellular functions, such as initiating transport of intracellular cargos and ingesting pathogens. The main regulator of this process is a member of small GTPase family, Rab5 protein. Rab5 protein plays a key role in the endocytic dynamic delivery of molecules, receptors, and pathogens from the cell membrane to cytoplasmic vesicles.as well as in the exocytic delivery of cellular products to the cell's exterior (Bonifacino & Glick, 2004). Many pathogens have exploited this protein to enter cells. Herpes Simplex Virus Type 1 (HSV-1) enters most cells by fusion or utilizes …

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Geophysical Exploration Of The Upper Crust Underlying North-Central Indiana: New Insight Into The Eastern Granite-Rhyolite Province, Michael Ray Green Jan 2018

Geophysical Exploration Of The Upper Crust Underlying North-Central Indiana: New Insight Into The Eastern Granite-Rhyolite Province, Michael Ray Green

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This study analyzes ten 2D seismic lines donated by CountryMark together with potential field data to examine the upper crustal structure near Wabash, Indiana. These seismic profiles reveal significant relief of the Precambrian Unconformity and prominent upper crustal reflections. The Precambrian Unconformity interpreted from the unmigrated stacked seismic sections is characterized by undulations and bowtie artifacts. Zero offset seismic models constructed using profiles of the exposed Precambrian Unconformity across the Eastern Granite-Rhyolite Province outcrops of the St. Francois Mountains feature the same seismic expression. The upper crust below the Precambrian Unconformity on the Countrymark seismic sections is also characterized by …

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