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Risk Awareness Enhancement Systems For Hazmat Transportation: Prototyping And Technology Evaluation, Jian Xue, Katherine Linville, Yu Li, Pranav Nitin Godse, Suzanna Long, Ruwen Qin Oct 2019

Risk Awareness Enhancement Systems For Hazmat Transportation: Prototyping And Technology Evaluation, Jian Xue, Katherine Linville, Yu Li, Pranav Nitin Godse, Suzanna Long, Ruwen Qin

Engineering Management and Systems Engineering Faculty Research & Creative Works

Workers of hazardous material (hazmat) transportation have a higher chance than other workers to be exposed to various risks in their workplace. Assisting them to safely operate in their workplace in a near real-time manner is in particular need. This paper presents a study of designing, prototyping and developing feedback systems to help increase the risk awareness of workers in the loading and uploading phases of hazmat transportation. The first system was prototyped on an Arduino board, serving as the reference for system development. Then, the second system, named a Bluetooth Low Energy (BLE) beacon based system, was designed as …

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A Mixed Method Study Of Infrastructure Resilience Education And Instruction, John Richards, Suzanna Long Oct 2019

A Mixed Method Study Of Infrastructure Resilience Education And Instruction, John Richards, Suzanna Long

Engineering Management and Systems Engineering Faculty Research & Creative Works

As the frequency and severity of natural and man-made disasters increases, the importance of improving the resilience of complex infrastructure systems in an uncertain environment is increasingly critical. Proper training and education are key components to addressing this issue, but it is unclear how and where modeling under uncertainty, infrastructure systems management, and resilient systems are integrated into the standard undergraduate and graduate engineering management curriculum. This research uses a mixed method to determine whether and at what level engineering managers receive instruction regarding the implementation of tools and techniques to improve infrastructure resilience. A review of current courses and …

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Flood Management Deep Learning Model Inputs: A Review Of Necessary Data And Predictive Tools, Jacob Hale, Suzanna Long, Steven Corns, Tom Shoberg Oct 2019

Flood Management Deep Learning Model Inputs: A Review Of Necessary Data And Predictive Tools, Jacob Hale, Suzanna Long, Steven Corns, Tom Shoberg

Engineering Management and Systems Engineering Faculty Research & Creative Works

Current flood management models are often hampered by the lack of robust predictive analytics, as well as incomplete datasets for river basins prone to heavy flooding. This research uses a State-of-the-Art matrix (SAM) analysis and integrative literature review to categorize existing models by method and scope, then determines opportunities for integrating deep learning techniques to expand predictive capability. Trends in the SAM analysis are then used to determine geospatial characteristics of the region that can contribute to flash flood scenarios, as well as develop inputs for future modeling efforts. Preliminary progress on the selection of one urban and one rural …

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Data Collection And Analysis Techniques For Solar Car Telemetry Data, Michael Rouse, Miranda Sauer, Kurt Louis Kosbar Oct 2019

Data Collection And Analysis Techniques For Solar Car Telemetry Data, Michael Rouse, Miranda Sauer, Kurt Louis Kosbar

Electrical and Computer Engineering Faculty Research & Creative Works

Data collected from a solar car is monitored in real-time, which allows for intelligent decision making, efficient debugging, and high-quality testing for solar car teams. This paper compares three databases (MySQL, PostgreSQL, and MongoDB) to determine the optimal database system that should be used at solar car competitions. Each database system was tested using simulated solar car data to measure read and write speeds, and quality of performance on a low-power computer. Data were analyzed and displayed with custom interfaces to improve the user experience at solar car competitions.

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The Missouri Miner, October 23, 2019 Oct 2019

The Missouri Miner, October 23, 2019

The Missouri Miner Newspaper

No abstract provided.

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Faculty Senate Meeting Minutes September 26, 2019, Missouri University Of Science And Technology Faculty Senate Oct 2019

Faculty Senate Meeting Minutes September 26, 2019, Missouri University Of Science And Technology Faculty Senate

Minutes & Agendas

No abstract provided.

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Faculty Senate Meeting Minutes October 17, 2019, Missouri University Of Science And Technology Faculty Senate Oct 2019

Faculty Senate Meeting Minutes October 17, 2019, Missouri University Of Science And Technology Faculty Senate

Minutes & Agendas

No abstract provided.

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The Missouri Miner, October 16, 2019 Oct 2019

The Missouri Miner, October 16, 2019

The Missouri Miner Newspaper

No abstract provided.

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Transport Phenomena In The Knudsen Layer Near An Evaporating Surface, Eric Bird, Zhi Liang Oct 2019

Transport Phenomena In The Knudsen Layer Near An Evaporating Surface, Eric Bird, Zhi Liang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Using the Combination of the Kinetic Theory of Gases (KTG), Boltzmann Transport Equation (BTE), and Molecular Dynamics (MD) Simulations, We Study the Transport Phenomena in the Knudsen Layer Near a Planar Evaporating Surface. the MD Simulation is First Used to Validate the Assumption Regarding the Anisotropic Velocity Distribution of Vapor Molecules in the Knudsen Layer. based on This Assumption, We Use the KTG to Formulate the Temperature and Density of Vapor at the Evaporating Surface as a Function of the Evaporation Rate and the Mass Accommodation Coefficient (MAC), and We Use These Vapor Properties as the Boundary Conditions to Find …

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Neural Network Predictive Controller For Grid-Connected Virtual Synchronous Generator, Sepehr Saadatmand, Mohamad Saleh Sanjari Nia, Pourya Shamsi, Mehdi Ferdowsi, Donald C. Wunsch Oct 2019

Neural Network Predictive Controller For Grid-Connected Virtual Synchronous Generator, Sepehr Saadatmand, Mohamad Saleh Sanjari Nia, Pourya Shamsi, Mehdi Ferdowsi, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a neural network predictive controller is proposed to regulate the active and the reactive power delivered to the grid generated by a three-phase virtual inertia-based inverter. The concept of the conventional virtual synchronous generator (VSG) is discussed, and it is shown that when the inverter is connected to non-inductive grids, the conventional PI-based VSGs are unable to perform acceptable tracking. The concept of the neural network predictive controller is also discussed to replace the traditional VSGs. This replacement enables inverters to perform in both inductive and non-inductive grids. The simulation results confirm that a well-trained neural network …

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Heuristic Dynamic Programming For Adaptive Virtual Synchronous Generators, Sepehr Saadatmand, Mohamad Saleh Sanjari Nia, Pourya Shamsi, Mehdi Ferdowsi, Donald C. Wunsch Oct 2019

Heuristic Dynamic Programming For Adaptive Virtual Synchronous Generators, Sepehr Saadatmand, Mohamad Saleh Sanjari Nia, Pourya Shamsi, Mehdi Ferdowsi, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper a neural network heuristic dynamic programing (HDP) is used for optimal control of the virtual inertia-based control of grid connected three-phase inverters. It is shown that the conventional virtual inertia controllers are not suited for non-inductive grids. A neural network-based controller is proposed to adapt to any impedance angle. Applying an adaptive dynamic programming controller instead of a supervised controlled method enables the system to adjust itself to different conditions. The proposed HDP consists of two subnetworks: critic network and action network. These networks can be trained during the same training cycle to decrease the training time. …

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Dual Heuristic Dynamic Programing Control Of Grid-Connected Synchronverters, Sepehr Saadatmand, Mohamad Saleh Sanjari Nia, Pourya Shamsi, Mehdi Ferdowsi Oct 2019

Dual Heuristic Dynamic Programing Control Of Grid-Connected Synchronverters, Sepehr Saadatmand, Mohamad Saleh Sanjari Nia, Pourya Shamsi, Mehdi Ferdowsi

Electrical and Computer Engineering Faculty Research & Creative Works

A new approach to control a grid-connected synchronverter by using a dual heuristic dynamic programing (DHP) design is presented. The disadvantages of conventional synchronverter controller such as the challenges to cope with nonlinearity, uncertainties, and non-inductive grids are discussed. To deal with the aforementioned challenges a neural network–based adaptive critic design is introduced to optimize the associated cost function. The characteristic of the neural networks facilitates the performance under uncertainties and unknown parameters (e.g. different power angles). The proposed DHP design includes three neural networks: system NN, action NN, and critic NN. The simulation results compare the performance of the …

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A Study Of Brain Neuronal And Functional Complexities Estimated Using Multiscale Entropy In Healthy Young Adults, Sreevalsan S. Menon, K. Krishnamurthy Oct 2019

A Study Of Brain Neuronal And Functional Complexities Estimated Using Multiscale Entropy In Healthy Young Adults, Sreevalsan S. Menon, K. Krishnamurthy

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Brain complexity estimated using sample entropy and multiscale entropy (MSE) has recently gained much attention to compare brain function between diseased or neurologically impaired groups and healthy control groups. Using resting-state functional magnetic resonance imaging (rfMRI) blood oxygen-level dependent (BOLD) signals in a large cohort (n = 967) of healthy young adults, the present study maps neuronal and functional complexities estimated by using MSE of BOLD signals and BOLD phase coherence connectivity, respectively, at various levels of the brain’s organization. The functional complexity explores patterns in a higher dimension than neuronal complexity and may better discern changes in brain functioning. …

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Novel Highly Porous Ceramic And Metal Aerogels From Xerogel Powder Precursors, And Methods For Their Production And Use, Nicholas Leventis, Chariklia Sotiriou-Leventis, Malik Adnan Saeed, Parwani Rewatkar, Tahereh Taghvaee Oct 2019

Novel Highly Porous Ceramic And Metal Aerogels From Xerogel Powder Precursors, And Methods For Their Production And Use, Nicholas Leventis, Chariklia Sotiriou-Leventis, Malik Adnan Saeed, Parwani Rewatkar, Tahereh Taghvaee

Chemistry Faculty Research & Creative Works

The present invention discloses novel methods for producing highly porous ceramic and/or metal aerogel monolithic objects that are hard, sturdy, and resistant to high temperatures. These methods comprise preparing nanoparticulate oxides of metals and/or metalloids via a step of vigorous stirring to prevent gelation, preparing polymer-modified xerogel powder compositions by reacting said nanoparticulate oxides with one or more polyfunctional monomers, compressing said polymer-modified xerogel powder compositions into shaped compacts, and carbothermal conversion of the shaped xerogel compacts via pyrolysis to provide the highly porous ceramic and/or metal aerogel monolithic objects that have the same shapes as to their corresponding xerogel …

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The Missouri Miner, October 9, 2019 Oct 2019

The Missouri Miner, October 9, 2019

The Missouri Miner Newspaper

No abstract provided.

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Dissipative Correlated Dynamics Of A Moving Impurity Immersed In A Bose-Einstein Condensate, Simeon I. Mistakidis, F. Grusdt, G. M. Koutentakis, P. Schmelcher Oct 2019

Dissipative Correlated Dynamics Of A Moving Impurity Immersed In A Bose-Einstein Condensate, Simeon I. Mistakidis, F. Grusdt, G. M. Koutentakis, P. Schmelcher

Physics Faculty Research & Creative Works

We Unravel The Nonequilibrium Correlated Quantum Quench Dynamics Of An Impurity Traveling Through A Harmonically Confined Bose-Einstein Condensate In One-Dimension. For Weak Repulsive Interspecies Interactions The Impurity Oscillates Within The Bosonic Gas. At Strong Repulsions And Depending On Its Prequench Position The Impurity Moves Towards An Edge Of The Bosonic Medium And Subsequently Equilibrates. This Equilibration Being Present Independently Of The Initial Velocity, The Position And The Mass Of The Impurity Is Inherently Related To The Generation Of Entanglement In The Many-Body System. Focusing On Attractive Interactions The Impurity Performs A Damped Oscillatory Motion Within The Bosonic Bath, A Behavior …

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Co-Localization Of Dna I-Motif-Forming Sequences And 5-Hydroxymethyl-Cytosines In Human Embryonic Stem Cells, Yogini P. Bhavsar-Jog, Eric Van Dornshuld, Tracy A. Brooks, Gregory S. Tschumper, Randy M. Wadkins Oct 2019

Co-Localization Of Dna I-Motif-Forming Sequences And 5-Hydroxymethyl-Cytosines In Human Embryonic Stem Cells, Yogini P. Bhavsar-Jog, Eric Van Dornshuld, Tracy A. Brooks, Gregory S. Tschumper, Randy M. Wadkins

Chemistry Faculty Research & Creative Works

G-quadruplexes (G4s) and i-motifs (iMs) are tetraplex DNA structures. Sequences capable of forming G4/iMs are abundant near the transcription start sites (TSS) of several genes. G4/iMs affect gene expression in vitro. Depending on the gene, the presence of G4/iMs can enhance or suppress expression, making it challenging to discern the underlying mechanism by which they operate. Factors affecting G4/iM structures can provide additional insight into their mechanism of regulation. One such factor is epigenetic modification. The 5-hydroxymethylated cytosines (5hmCs) are epigenetic modifications that occur abundantly in human embryonic stem cells (hESC). The 5hmCs, like G4/iMs, are known to participate in …

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The Missouri Miner, October 2, 2019 Oct 2019

The Missouri Miner, October 2, 2019

The Missouri Miner Newspaper

No abstract provided.

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Prediction Of Nonlinear Vertical Settlement Of A Pile Group Consisting Of New And Existing Displacement Piles In Clay Strata, Lin Li, Weibing Gong Oct 2019

Prediction Of Nonlinear Vertical Settlement Of A Pile Group Consisting Of New And Existing Displacement Piles In Clay Strata, Lin Li, Weibing Gong

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Reusing existing displacement piles is economical, timesaving, and environment friendly. This paper presents an analytical approach for predicting the load carrying behavior of pile groups consisting of new and existing displacement piles. The evolutions of the undrained shear strength and shear modulus of clay adjacent to the piles from installation through consolidation to long-term ageing are investigated to determine the load carrying behavior of displacement piles. The nonlinear load-settlement behavior of an individual pile is modelled by load-transfer method, where the exponential function-based load-transfer models integrating the two developed soil parameters are employed to represent the nonlinear behavior at the …

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The 2nd 3d Face Alignment In The Wild Challenge (3dfaw-Video): Dense Reconstruction From Video, Rohith Krishnan Pillai, Laszlo Attila Jeni, Huiyuan Yang, Zheng Zhang, Lijun Yin, Jeffrey F. Cohn Oct 2019

The 2nd 3d Face Alignment In The Wild Challenge (3dfaw-Video): Dense Reconstruction From Video, Rohith Krishnan Pillai, Laszlo Attila Jeni, Huiyuan Yang, Zheng Zhang, Lijun Yin, Jeffrey F. Cohn

Computer Science Faculty Research & Creative Works

3D face alignment approaches have strong advantages over 2D with respect to representational power and robustness to illumination and pose. Over the past few years, a number of research groups have made rapid advances in dense 3D alignment from 2D video and obtained impressive results. How these various methods compare is relatively unknown. Previous benchmarks addressed sparse 3D alignment and single image 3D reconstruction. No commonly accepted evaluation protocol exists for dense 3D face reconstruction from video with which to compare them. The 2nd 3D Face Alignment in the Wild from Videos (3DFAW-Video) Challenge extends the previous 3DFAW 2016 competition …

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Tracking The 6-Dof Flight Trajectory Of Windborne Debris Using Stereophotogrammetry, Chaman Sabharwal, Yanlin Guo Oct 2019

Tracking The 6-Dof Flight Trajectory Of Windborne Debris Using Stereophotogrammetry, Chaman Sabharwal, Yanlin Guo

Computer Science Faculty Research & Creative Works

Numerous post-windstorm investigations have reported that windborne debris can cause costly damage to the envelope of buildings in urban areas under strong winds (e.g., during hurricanes or tornados). Thus, understanding the physics of debris flight is of critical importance. Previously developed numerical models describing debris flight physics have not been validated for the complex urban flow environment; such a validation requires experimentally measuring the debris flight trajectory in wind tunnel tests. In this context, this paper proposes a debris measurement algorithm using stereophotogrammetry. This algorithm aims to determine the six-degree-of-freedom (6-DOF) trajectory and velocity of flying debris, addressing the research …

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Sediment Respiration Pulses In Intermittent Rivers And Ephemeral Streams, D. Von Schiller, T. Daltry, Dev Niyogi Oct 2019

Sediment Respiration Pulses In Intermittent Rivers And Ephemeral Streams, D. Von Schiller, T. Daltry, Dev Niyogi

Biological Sciences Faculty Research & Creative Works

Intermittent rivers and ephemeral streams (IRES) may represent over half the global stream network, but their contribution to respiration and carbon dioxide (CO2) emissions is largely undetermined. In particular, little is known about the variability and drivers of respiration in IRES sediments upon rewetting, which could result in large pulses of CO2. We present a global study examining sediments from 200 dry IRES reaches spanning multiple biomes. Results from standardized assays show that mean respiration increased 32-fold to 66-fold upon sediment rewetting. Structural equation modeling indicates that this response was driven by sediment texture and organic …

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An Optimal Edg Method For Distributed Control Of Convection Diffusion Pdes, X. Zhang, Y. Zhang, John R. Singler Oct 2019

An Optimal Edg Method For Distributed Control Of Convection Diffusion Pdes, X. Zhang, Y. Zhang, John R. Singler

Mathematics and Statistics Faculty Research & Creative Works

We propose an embedded discontinuous Galerkin (EDG) method to approximate the solution of a distributed control problem governed by convection diffusion PDEs, and obtain optimal a priori error estimates for the state, dual state, their uxes, and the control. Moreover, we prove the optimize-then-discretize (OD) and discrtize-then-optimize (DO) approaches coincide. Numerical results confirm our theoretical results.

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Gan-Based Room Temperature Spintronics For Next Generation Low Power Consumption Electronic Devices, Vishal Saravade, Amirhossein Ghods, Andrew P. Woode, Chuanle Zhou, Ian Ferguson Oct 2019

Gan-Based Room Temperature Spintronics For Next Generation Low Power Consumption Electronic Devices, Vishal Saravade, Amirhossein Ghods, Andrew P. Woode, Chuanle Zhou, Ian Ferguson

Electrical and Computer Engineering Faculty Research & Creative Works

There has been an exponential growth in the microelectronics industry over the last 70 years with a consistent miniaturization of transistors' size and increase in the speed and on-chip transistors density with reasonable power consumption, as seen in Figure 1 [1]. This trend will saturate soon especially due to the unintended thermal noise that is dissipated, as the density of transistors on the chips increase and as the corresponding electronics approach their physical limits. There is a need to implement new processing and computing techniques [2] with more compact size, lower power consumption and enhanced performance. Neuromorphic computing mimics the …

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Systems, Apparatus And Method For Material Preparations And / Or Handling, Robert Doebler, Ali Nadim, James D. Sterling, Anna Hickerson, Barbara Erwin, Denice Woyski, Ryan P. Talbot, Bruce Irvine Oct 2019

Systems, Apparatus And Method For Material Preparations And / Or Handling, Robert Doebler, Ali Nadim, James D. Sterling, Anna Hickerson, Barbara Erwin, Denice Woyski, Ryan P. Talbot, Bruce Irvine

Business and Information Technology Faculty Research & Creative Works

Oscillating angularly rotating a container containing a mate rial may cause the material to be separate. Denser or heavier material may unexpectedly tend to be collected relatively close to the axis of rotation, while less dense or light material may tend to collect relatively away from the axis of rotation. Oscillation along an arcuate path provides high lysing efficiency. Alternatively, a micromotor may drive an impeller removably received in a container. Lysing may be implemented in batch mode, flow - through stop or semi-batch mode, or flow - through continuous mode. Lysing particulate material may exceed material to be lysed …

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The Effect Of Tantalum Incorporation On The Physical And Chemical Properties Of Ternary Silicon–Calcium–Phosphorous Mesoporous Bioactive Glasses, Andrew Mendonca, Md Saidur Rahman, Adel Alhalawani, Omar Rodriguez, Reid C. Gallant, Heyu Ni, Owen M. Clarkin, Mark R. Towler Oct 2019

The Effect Of Tantalum Incorporation On The Physical And Chemical Properties Of Ternary Silicon–Calcium–Phosphorous Mesoporous Bioactive Glasses, Andrew Mendonca, Md Saidur Rahman, Adel Alhalawani, Omar Rodriguez, Reid C. Gallant, Heyu Ni, Owen M. Clarkin, Mark R. Towler

Chemical and Biochemical Engineering Faculty Research & Creative Works

Synthesis and characterization of the first mesoporous bioactive glasses (MBGs) containing tantalum are reported here, along with their potential application as hemostats. Silica MBGs were synthesized using with the molar composition of (80-x)% Si, 15% Ca, 5% P, and x% Ta. It was found that incorporation of >1 mol % Ta into the MBGs changes their physical and chemical properties. Increasing Ta content from 0 to 10 mol % causes a decrease in the surface area and pore volume of ~20 and ~35%, respectively. This is due to the increase in nonbridging oxygens and mismatch of thermal expansion coefficient which …

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Hydrothermal Preparation Of Palladium Supported On Magnetite For Catalysis Applications, Hany A. Elazab, S. A. Hassan, M. A. Radwan, M. A. Sadek Oct 2019

Hydrothermal Preparation Of Palladium Supported On Magnetite For Catalysis Applications, Hany A. Elazab, S. A. Hassan, M. A. Radwan, M. A. Sadek

Chemical and Biochemical Engineering Faculty Research & Creative Works

Herein, versatile, and reproducible method to prepare Pd/Fe3O4 via hydrothermal synthesis. The vital role of this catalyst is in its potential use in CO oxidation catalysis. The Pd/Fe3O4 shows a distinctive activity. TEM images confirmed that Pd nanoparticles of 8-12 nm have a well dispersion on the surface of magnetite (Fe3O4). Moreover, the prepared catalyst is recycled with remarkable catalytic activity. This outstanding activity is mainly a direct result of the strong metal-support interaction. The defect sites in the reduced iron oxide act as nucleation centers that enable anchoring of …

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Double-Click Enables Synthesis Of Chemical Libraries For Drug Discovery, Joseph J. Topczewski, En Chih Liu Oct 2019

Double-Click Enables Synthesis Of Chemical Libraries For Drug Discovery, Joseph J. Topczewski, En Chih Liu

Chemistry Faculty Research & Creative Works

No abstract provided.

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Search For Eccentric Binary Black Hole Mergers With Advanced Ligo And Advanced Virgo During Their First And Second Observing Runs, B. P. Abbott, R. Abbott, T. D. Abbott, Marco Cavaglia, For Full List Of Authors, See Publisher's Website. Oct 2019

Search For Eccentric Binary Black Hole Mergers With Advanced Ligo And Advanced Virgo During Their First And Second Observing Runs, B. P. Abbott, R. Abbott, T. D. Abbott, Marco Cavaglia, For Full List Of Authors, See Publisher's Website.

Physics Faculty Research & Creative Works

When formed through dynamical interactions, stellar-mass binary black holes (BBHs) may retain eccentric orbits (e > 0.1 at 10 Hz) detectable by ground-based gravitational-wave detectors. Eccentricity can therefore be used to differentiate dynamically formed binaries from isolated BBH mergers. Current template-based gravitational-wave searches do not use waveform models associated with eccentric orbits, rendering the search less efficient for eccentric binary systems. Here we present the results of a search for BBH mergers that inspiral in eccentric orbits using data from the first and second observing runs (O1 and O2) of Advanced LIGO and Advanced Virgo. We carried out the search with …

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Electrochemistry Of Illusive Barbosalite, Fe²⁺Fe³⁺ 2(Po₄)₂(Oh)₂: An Iron Phosphate Related To Lipscombite Structure, Prashanth Sandineni, Kartik Ghosh, Amitava Choudhury Oct 2019

Electrochemistry Of Illusive Barbosalite, Fe²⁺Fe³⁺ 2(Po₄)₂(Oh)₂: An Iron Phosphate Related To Lipscombite Structure, Prashanth Sandineni, Kartik Ghosh, Amitava Choudhury

Chemistry Faculty Research & Creative Works

Barbosalite, an iron hydroxy-phosphate belonging to the family of Lazulite has been synthesized using hydrothermal route and its electrochemical property is investigated for the first time with respect to Li-ion batteries. The structure, as determined from single-crystal X-ray diffraction data, built up of undulating layers of FeO6 octahedra, consisting of trimers and PO4 tetrahedral units. Magnetic susceptibility measurements show predominant overall anti-ferromagnetic interactions and room temperature 57Fe Mössbauer spectroscopic studies confirm the mixed 3+ and 2+ oxidation states of Fe in the compound. The compound is stable up to 400°C and undergo facile electrochemical lithium insertion. Galvanostatic charge-discharge …

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