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Analysis Of Parkinson's Disease Data, Ram Deepak Gottapu, Cihan H. Dagli Nov 2018

Analysis Of Parkinson's Disease Data, Ram Deepak Gottapu, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

In this paper, we investigate the diagnostic data from patients suffering with Parkinson's disease (PD) and design classification/prediction model to simplify the diagnosis. The main aim of this research is to open possibilities to be able to apply deep learning algorithms to help better understand and diagnose the disease. To our knowledge, the capabilities of deep learning algorithms have not yet been completely utilized in the field of Parkinson's research and we believe that by having an in-depth understanding of data, we can create a platform to apply different algorithms to automate the Parkinson's Disease diagnosis to certain extent. We …

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Multi-Objective Evolutionary Neural Network To Predict Graduation Success At The United States Military Academy, Gene Lesinski, Steven Corns Nov 2018

Multi-Objective Evolutionary Neural Network To Predict Graduation Success At The United States Military Academy, Gene Lesinski, Steven Corns

Engineering Management and Systems Engineering Faculty Research & Creative Works

This paper presents an evolutionary neural network approach to classify student graduation status based upon selected academic, demographic, and other indicators. A pareto-based, multi-objective evolutionary algorithm utilizing the Strength Pareto Evolutionary Algorithm (SPEA2) fitness evaluation scheme simultaneously evolves connection weights and identifies the neural network topology using network complexity and classification accuracy as objective functions. A combined vector-matrix representation scheme and differential evolution recombination operators are employed. The model is trained, tested, and validated using 5100 student samples with data compiled from admissions records and institutional research databases. The inputs to the evolutionary neural network model are used to classify …

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Near-Infrared Chiral Plasmonic Metasurface Absorbers, Leixin Ouyang, Wei Wang, Daniel Rosenmann, David A. Czaplewski, Jie Gao, Xiaodong Yang Nov 2018

Near-Infrared Chiral Plasmonic Metasurface Absorbers, Leixin Ouyang, Wei Wang, Daniel Rosenmann, David A. Czaplewski, Jie Gao, Xiaodong Yang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Chirality plays an essential role in the fields of biology, medicine and physics. However, natural materials exhibit very weak chiroptical response. In this paper, near-infrared chiral plasmonic metasurface absorbers are demonstrated to selectively absorb either the left-handed or right-handed circularly polarized light for achieving large circular dichroism (CD) across the wavelength range from 1.3 µm to 1.8 µm. It is shown that the maximum chiral absorption can reach to 0.87 and that the maximum CD in absorption is around 0.70. The current chiral metasurface design is able to achieve strong chiroptical response, which also leads to high thermal CD for …

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Multicellular Models Bridging Intracellular Signaling And Gene Transcription To Population Dynamics, Mohammad Aminul Islam, Satyaki Roy, Sajal K. Das, Dipak Barua Nov 2018

Multicellular Models Bridging Intracellular Signaling And Gene Transcription To Population Dynamics, Mohammad Aminul Islam, Satyaki Roy, Sajal K. Das, Dipak Barua

Computer Science Faculty Research & Creative Works

Cell signaling and gene transcription occur at faster time scales compared to cellular death, division, and evolution. Bridging these multiscale events in a model is computationally challenging. We introduce a framework for the systematic development of multiscale cell population models. Using message passing interface (MPI) parallelism, the framework creates a population model from a single-cell biochemical network model. It launches parallel simulations on a single-cell model and treats each stand-alone parallel process as a cell object. MPI mediates cell-to-cell and cell-to-environment communications in a server-client fashion. In the framework, model-specific higher level rules link the intracellular molecular events to cellular …

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Phase Contrast Time-Lapse Microscopy Datasets With Automated And Manual Cell Tracking Annotations, Dai Fei Elmer Ker, Zhaozheng Yin, For Full List Of Authors, See Publisher's Website. Nov 2018

Phase Contrast Time-Lapse Microscopy Datasets With Automated And Manual Cell Tracking Annotations, Dai Fei Elmer Ker, Zhaozheng Yin, For Full List Of Authors, See Publisher's Website.

Computer Science Faculty Research & Creative Works

Phase contrast time-lapse microscopy is a non-destructive technique that generates large volumes of image-based information to quantify the behaviour of individual cells or cell populations. To guide the development of algorithms for computer-aided cell tracking and analysis, 48 time-lapse image sequences, each spanning approximately 3.5 days, were generated with accompanying ground truths for C2C12 myoblast cells cultured under 4 different media conditions, including with fibroblast growth factor 2 (FGF2), bone morphogenetic protein 2 (BMP2), FGF2 + BMP2, and control (no growth factor). The ground truths generated contain information for tracking at least 3 parent cells and their descendants within these …

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Crustal Azimuthal Anisotropy Beneath The Southeastern Tibetan Plateau And Its Geodynamic Implications, Tuo Zheng, Zhifeng Ding, Jieyuan Ning, Lijun Chang, Xingchen Wang, Fansheng Kong, Kelly H. Liu, Stephen S. Gao Nov 2018

Crustal Azimuthal Anisotropy Beneath The Southeastern Tibetan Plateau And Its Geodynamic Implications, Tuo Zheng, Zhifeng Ding, Jieyuan Ning, Lijun Chang, Xingchen Wang, Fansheng Kong, Kelly H. Liu, Stephen S. Gao

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The fast orientation and magnitude of crustal azimuthal anisotropy beneath the southeastern Tibetan Plateau and adjacent areas are measured by analyzing the sinusoidal moveout of the P to S converted phase from the Moho. Beneath the tectonically active plateau, the mean magnitude is 0.48 ±Â 0.13 s, which is about twice as large as that observed in the stable Sichuan Basin (0.23 ±Â 0.10 s). The two areas are separated by the Longmenshan fault zone, a zone of devastating earthquakes including the 12 May 2008 MW 7.9 Wenchuan earthquake. Fault orthogonal fast orientations observed in the southern Longmenshan fault …

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Comparing Groups' Affective Sentiments To Group Perceptions, Daniel Burton Shank, Alexander Burns Nov 2018

Comparing Groups' Affective Sentiments To Group Perceptions, Daniel Burton Shank, Alexander Burns

Psychological Science Faculty Research & Creative Works

Affect control theory focuses on interaction among individuals, not groups. Groups, like individual identities, vary in affective sentiments across the dimensions of evaluation, potency, and activity, but a separate literature shows the importance of the group perceptions of entitativity, homogeneity, essentialism, and agency. Therefore, to consider affect control theory's applicability to groups, we compare these principal group perceptions to affective sentiments for 64 group concepts. The results reveal that affective sentiments correlate with all four group perceptions in meaningful ways.

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Experimental Investigation On Heat Transfer In A Prismatic Modular Reactor Under Cosine Heat Flux, S. M. Alshehri, I. A. Said, Muthanna H. Al-Dahhan, Shoaib Usman Nov 2018

Experimental Investigation On Heat Transfer In A Prismatic Modular Reactor Under Cosine Heat Flux, S. M. Alshehri, I. A. Said, Muthanna H. Al-Dahhan, Shoaib Usman

Chemical and Biochemical Engineering Faculty Research & Creative Works

The current study has investigated natural convection heat during pressurized conduction cooldown (PCC) accident scenario to understand the passive safety features of prismatic modular reactors (PMR) under different intensities of nonuniform center peaking step heat flux distributions (approximating cosine shape) using an advanced fast-response heat transfer technique. A scaled-down PMR module was designed and developed at Missouri S&T by the research team of the Multiphase Reactors Engineering and Applications Laboratory (mReal). The module consists of upper and lower plena connected by heated and cooled channels. Nonuniform heat flux distribution was applied to the heated channel under nonuniform heating center peaking …

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Establishment And Application Of Fractal Capillary Tube Bundle Model Of Porous Media, Zhonghua Liu, Jianing Shen, Qianhua Xiao, Zhongpei Ding, Shunpeng Zeng, Baojun Bai Nov 2018

Establishment And Application Of Fractal Capillary Tube Bundle Model Of Porous Media, Zhonghua Liu, Jianing Shen, Qianhua Xiao, Zhongpei Ding, Shunpeng Zeng, Baojun Bai

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

In view of the problem of statistical regression constant in the model of capillary tube bundles in the porous media, a capillary bundle percolation model with fractal geometry was reconstructed. The function expressions of the fractal coefficient and Kozeny constant were deduced. The relationship between the macroscopic fractal properties of porous media and the fractal dimension and the micro pore parameters were obtained. Results show: Fractal coefficient is a function of fractal dimension, maximum pore radius and minimum pore radius; The macroscopic physical properties of porous media are a function of the fractal dimension and the radius of the capillary …

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Bio-Inspired Polydopamine Surface Modification Of Nanodiamonds And Its Reduction Of Silver Nanoparticles, Yun Zeng, Wenyan Liu, Risheng Wang Nov 2018

Bio-Inspired Polydopamine Surface Modification Of Nanodiamonds And Its Reduction Of Silver Nanoparticles, Yun Zeng, Wenyan Liu, Risheng Wang

Chemistry Faculty Research & Creative Works

Surface functionalization of nanodiamonds (NDs) is still challenging due to the diversity of functional groups on the ND surfaces. Here, we demonstrate a simple protocol for the multifunctional surface modification of NDs by using mussel-inspired polydopamine (PDA) coating. In addition, the functional layer of PDA on NDs could serve as a reducing agent to synthesize and stabilize metal nanoparticles. Dopamine (DA) can self-polymerize and spontaneously form PDA layers on ND surfaces if the NDs and dopamine are simply mixed together. The thickness of a PDA layer is controlled by varying the concentration of DA. A typical result shows that a …

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Densenet For Anatomical Brain Segmentation, Ram Deepak Gottapu, Cihan H. Dagli Nov 2018

Densenet For Anatomical Brain Segmentation, Ram Deepak Gottapu, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Automated segmentation in brain magnetic resonance image (MRI) plays an important role in the analysis of many diseases and conditions. In this paper, we present a new architecture to perform MR image brain segmentation (MRI) into a number of classes based on type of tissue. Recent work has shown that convolutional neural networks (DenseNet) can be substantially more accurate with less number of parameters if each layer in the network is connected with every other layer in a feed forward fashion. We embrace this idea and generate new architecture that can assign each pixel/voxel in an MR image of the …

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Early Detection Of Disease Using Electronic Health Records And Fisher's Wishart Discriminant Analysis, Sijia Yang, Jian Bian, Zeyi Sun, Licheng Wang, Haojin Zhu, Haoyi Xiong, Yu Li Nov 2018

Early Detection Of Disease Using Electronic Health Records And Fisher's Wishart Discriminant Analysis, Sijia Yang, Jian Bian, Zeyi Sun, Licheng Wang, Haojin Zhu, Haoyi Xiong, Yu Li

Engineering Management and Systems Engineering Faculty Research & Creative Works

Linear Discriminant Analysis (LDA) is a simple and effective technique for pattern classification, while it is also widely-used for early detection of diseases using Electronic Health Records (EHR) data. However, the performance of LDA for EHR data classification is frequently affected by two main factors: ill-posed estimation of LDA parameters (e.g., covariance matrix), and "linear inseparability" of the EHR data for classification. To handle these two issues, in this paper, we propose a novel classifier FWDA -- Fisher's Wishart Discriminant Analysis, which is developed as a faster and robust nonlinear classifier. Specifically, FWDA first surrogates the distribution of "potential" inverse …

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System Of Systems Architecting Problems: Definitions, Formulations, And Analysis, Hadi Farhangi, Dincer Konur Nov 2018

System Of Systems Architecting Problems: Definitions, Formulations, And Analysis, Hadi Farhangi, Dincer Konur

Engineering Management and Systems Engineering Faculty Research & Creative Works

The system of systems architecting has many applications in transportation, healthcare, and defense systems design. This study first presents a short review of system of systems definitions. We then focus on capability-based system of systems architecting. In particular, capability-based system of systems architecting problems with various settings, including system flexibility, fund allocation, operational restrictions, and system structures, are presented as Multi-Objective Nonlinear Integer Programming problems. Relevant solution methods to analyze these problems are also discussed.

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Prediction Of Thermal Conductance At Liquid-Gas Interfaces Using Molecular Dynamics Simulations, James Gonzalez, Josue Ortega, Zhi Liang Nov 2018

Prediction Of Thermal Conductance At Liquid-Gas Interfaces Using Molecular Dynamics Simulations, James Gonzalez, Josue Ortega, Zhi Liang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Using Molecular Dynamics (MD) Simulations and Theoretical Calculations, We Study Heat Transfer Across Liquid-Gas Interfaces within a Planar Heat Pipe. to Determine the Thermal Conductance (Kapitza Conductance), GK, at the Interface, Two Heat Transfer Mechanisms, Namely, Conduction and Evaporation/condensation Are Considered. in the Case of Interfacial Heat Conduction, Gas Molecules, Particularly Non-Condensable Gas Molecules, Exchange Heat with Liquid Surfaces through Gas-Liquid Collisions, and the Theoretical Expression for GK is Derived from the Kinetic Theory of Gases. for Interfacial Heat Transfer by Evaporation or Condensation, the Theoretical Expression for GK is Derived from the Schrage Relationships. to Assess the Accuracies of …

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Program Progress Performance Report #3, Missouri University Of Science And Technology. Inspire - University Transportation Center Oct 2018

Program Progress Performance Report #3, Missouri University Of Science And Technology. Inspire - University Transportation Center

Semi-Annual Progress Reports

No abstract provided.

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Scholars' Mine Quick Facts October 2018, Nancy S. Krost Oct 2018

Scholars' Mine Quick Facts October 2018, Nancy S. Krost

Scholars’ Mine Statistics

Scholars' Mine Quick Facts are monthly reports of downloads, page hits, and other information about works in the institutional repository of Missouri S&T. A map with downloads by region is also included.

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The Missouri Miner, October 31, 2018 Oct 2018

The Missouri Miner, October 31, 2018

The Missouri Miner Newspaper

No abstract provided.

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Phonon Signature Of Charge Inhomogeneity In High Temperature Superconductors Yba2cu3o6+X, Y. Petrov, T. Egami, R. J. Mcqueeney, Mohana Yethiraj, Herbert A. Mook Oct 2018

Phonon Signature Of Charge Inhomogeneity In High Temperature Superconductors Yba2cu3o6+X, Y. Petrov, T. Egami, R. J. Mcqueeney, Mohana Yethiraj, Herbert A. Mook

Materials Science and Engineering Faculty Research & Creative Works

Temperature and composition dependences of high-energy longitudinal optical (LO) phonons in YBa2Cu3O6+x, studied by inelastic neutron scattering measurements, provide clear evidence for temperature dependent spatial inhomogeneity of doped charges. The measurements indicate that charge doping increases the volume fraction of the charged regions, while the local charge density remains unchanged. For the optimally doped sample the charge distribution changes sharply near the superconducting transition temperature, with stronger charge inhomogeneity below TC. The remarkable magnitude of the phonon response to charge suggests strong involvement of phonons in charge dynamics.

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The Missouri Miner, October 24, 2018 Oct 2018

The Missouri Miner, October 24, 2018

The Missouri Miner Newspaper

No abstract provided.

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Dielectrophoretic Nanoparticle Propellant Injection With Plasmonic Acceleration, Jaykob Maser, Joshua Rovey Oct 2018

Dielectrophoretic Nanoparticle Propellant Injection With Plasmonic Acceleration, Jaykob Maser, Joshua Rovey

Mechanical and Aerospace Engineering Faculty Research & Creative Works

We describe the concept of a dielectrophoretic propellant injector and its inclusion in a plasmonic-based, small-satellite propulsion system. Thrust is achieved by applying a plasmon generated non-uniform electromagnetic field, and corresponding dielectrophoretic force, to net-neutral nanoparticles.

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Quench Dynamics Of Finite Bosonic Ensembles In Optical Lattices With Spatially Modulated Interactions, T. Plaßmann, Simeon I. Mistakidis, P. Schmelcher Oct 2018

Quench Dynamics Of Finite Bosonic Ensembles In Optical Lattices With Spatially Modulated Interactions, T. Plaßmann, Simeon I. Mistakidis, P. Schmelcher

Physics Faculty Research & Creative Works

The Nonequilibrium Quantum Dynamics Of Few Boson Ensembles Which Experience A Spatially Modulated Interaction Strength And Are Confined In Finite Optical Lattices Is Investigated. We Utilize A Cosinusoidal Spatially Modulated Effective Interaction Strength Which Is Characterized By Its Wavevector, Inhomogeneity Amplitude, Interaction Offset And A Phase. Performing Quenches Either On The Wavevector Or The Phase Of The Interaction Profile An Enhanced Imbalance Of The Interatomic Repulsion Between Distinct Spatial Regions Of The Lattice Is Induced. Following Both Quench Protocols Triggers Various Tunneling Channels And A Rich Excitation Dynamics Consisting Of A Breathing And A Cradle Mode. All Modes Are Shown …

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Multifidelity Modeling Of Ultrasonic Testing Simulations With Cokriging, Leifur Leifsson, Xiaosong Du, Slawomir Koziel Oct 2018

Multifidelity Modeling Of Ultrasonic Testing Simulations With Cokriging, Leifur Leifsson, Xiaosong Du, Slawomir Koziel

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Multifidelity methods are introduced to the nondestructive evaluation (NDE) of measurement systems. In particular, Cokriging interpolation metamodels of physics-based ultrasonic testing (UT) simulation responses are utilized to accelerate the uncertainty propagation in model-assisted NDE. The proposed approach is applied to a benchmark test case of UT simulations and compared with the current state-of-the-art techniques. The results show that Cokriging captures the physics of the problem well and is able to reduce the computational burden by over one order of magnitude compared to the state of the art. To the best of the author's knowledge, this the first time multifidelity methods …

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Fast Uncertainty Propagation Of Ultrasonic Testing Simulations For Mapod And Sensitivity Analysis, Xiaosong Du, Leifur Leifsson, Praveen Gurrala, Jiming Song, Slawomir Koziel Oct 2018

Fast Uncertainty Propagation Of Ultrasonic Testing Simulations For Mapod And Sensitivity Analysis, Xiaosong Du, Leifur Leifsson, Praveen Gurrala, Jiming Song, Slawomir Koziel

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Model-assisted probability of detection (MAPOD) and sensitivity analysis (SA) are widelyused for measuring the reliability of nondestructive testing (NDT) systems., such as ultrasonictesting (UT), and understanding the effects of uncertainty parameters. In this work, a stochastic expansion-based metamodel is used in lieu of the physics-based NDT simulation model for efficient uncertainty propagation while keeping satisfactory accuracy. The proposed stochasticmetamodeling approach is demonstrated for MAPOD and SA on a benchmark case for UT simulations on a fused quartz block with a spherically-void defect. The proposed approach is compared with direct Monte Carlo sampling (MCS), and MCS with Kriging metamodels. The results …

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A Sensitivity Analysis For Mixed Criticality: Trading Criticality With Computational Resource, Luca Santinelli, Zhishan Guo Oct 2018

A Sensitivity Analysis For Mixed Criticality: Trading Criticality With Computational Resource, Luca Santinelli, Zhishan Guo

Computer Science Faculty Research & Creative Works

Mixing workloads with multiple criticality levels raises challenges both in timing analysis and schedulability analysis. The timing models have to characterize the different behaviors that real-time tasks can experience under the various criticality modes. Instead, the schedulability analysis has to combine every task and task interactions providing several guarantees, depending on the criticality level demanded at runtime. With this work, at first, we propose representations to model every possible system criticality mode as a combination of task criticality modes. A set of bounding functions is obtained, a bound for each mode combination thus corresponding to a system criticality level. Secondly, …

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Faculty Senate Minutes October 18, 2018, Missouri University Of Science And Technology Faculty Senate Oct 2018

Faculty Senate Minutes October 18, 2018, Missouri University Of Science And Technology Faculty Senate

Minutes & Agendas

No abstract provided.

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The Missouri Miner, October 17, 2018 Oct 2018

The Missouri Miner, October 17, 2018

The Missouri Miner Newspaper

No abstract provided.

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Detection Of Multiple Orbital-Angular-Momentum Beams By A Single Metasurface, Menglin L.N. Chen, Wei E.L. Sha, Li (Lijun) Jun Jiang Oct 2018

Detection Of Multiple Orbital-Angular-Momentum Beams By A Single Metasurface, Menglin L.N. Chen, Wei E.L. Sha, Li (Lijun) Jun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

An approach for the detection of orbital angular momentum (OAM) is proposed. By formulating the transmission function of an arbitrary aperture, desired field distribution can be generated. A geometric-phase based metasurface is used to implement the aperture that is designed to convert an OAM wave to a directional wave with distinguishable radiation direction according to the incident OAM. Therefore, by examining the directivity, we can tell the value of incident OAM. The effectiveness of our approach is validated by numerical calculation and full-wave simulation.

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Quality Criteria For Electromagnetic Wave Absorbers, Konstantin N. Rozanov, Marina Y. Koledintseva Oct 2018

Quality Criteria For Electromagnetic Wave Absorbers, Konstantin N. Rozanov, Marina Y. Koledintseva

Electrical and Computer Engineering Faculty Research & Creative Works

No abstract provided.

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Physical And Technological Aspects Of Microstrip Ebg Filter Design, Marina Koledintseva, Sergiu Radu, Joe Nuebel Oct 2018

Physical And Technological Aspects Of Microstrip Ebg Filter Design, Marina Koledintseva, Sergiu Radu, Joe Nuebel

Electrical and Computer Engineering Faculty Research & Creative Works

Some physical and technological aspects of the electromagnetic bandgap (EBG) common-mode (CM) filters are discussed. A simple EBG notch filter for CM in edge-coupled differential microstrip pair is designed using full-wave numerical electromagnetic software. Mixed-mode S-parameters of the EBG structure are analyzed as functions of its basic geometry, including size and number of EBG patches, gaps between them, geometry and position of signal traces across the EBG patches. In this work, one and two differential pairs crossing the EBG patches are considered. It is shown that the filter performance depends on various technological features, such as frequency-dispersive core and prepreg …

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Machine Learning Based Computational Electromagnetic Analysis For Electromagnetic Compatibility, L. (Lijun) J. Jiang, H. M. Yao, H. H. Zhang, Y. W. Qin Oct 2018

Machine Learning Based Computational Electromagnetic Analysis For Electromagnetic Compatibility, L. (Lijun) J. Jiang, H. M. Yao, H. H. Zhang, Y. W. Qin

Electrical and Computer Engineering Faculty Research & Creative Works

While machine learning is becoming a demanding request in every corner of modern technology development, we are trying to see if we could make computational electromagnetic algorithms compatible to machine learning methods. In this paper, we introduce two efforts in line with this direction: solving method of moments (MoM) can be seen as a training training process. Consequently, the artificial neural network (ANN) could be used to solve MoM naturally through training. Amazon Web Service (AWS) can be used as the computations platform to utilize the existing hardware and software resources for machine learning. Another effort regarding to the nonlinear …

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