Digital Commons Network^™

Mxene-Graphene Field-Effect Transistor Sensing Of Influenza Virus And Sars-Cov-2, Yanxiao Li, Zhekun Peng, Natalie J. Holl, Md Rifat Hassan, John M. Pappas, Congjie Wei, Omid Hoseini Izadi, Yang Wang, Xiangyang Dong, Cheng Wang, Yue-Wern Huang, Donghyun Kim, Chenglin Wu

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

An MXene-graphene field-effect transistor (FET) sensor for both influenza virus and 2019-nCoV sensing was developed and characterized. The developed sensor combines the high chemical sensitivity of MXene and the continuity of large-area high-quality graphene to form an ultra-sensitive virus-sensing transduction material (VSTM). Through polymer linking, we are able to utilize antibody-antigen binding to achieve electrochemical signal transduction when viruses are deposited onto the VSTM surface. The MXene-graphene VSTM was integrated into a microfluidic channel that can directly receive viruses in solution. The developed sensor was tested with various concentrations of antigens from two viruses: inactivated influenza A (H1N1) HA virus …

Measurement Report: Long-Range Transport Patterns Into The Tropical Northwest Pacific During The Camp²Ex Aircraft Campaign: Chemical Composition, Size Distributions, And The Impact Of Convection, Miguel Ricardo A. Hilario, Ewan Crosbie, Michael Shook, Yang Wang, For Full List Of Authors, See Publisher's Website.

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The tropical Northwest Pacific (TNWP) is a receptor for pollution sources throughout Asia and is highly susceptible to climate change, making it imperative to understand long-range transport in this complex aerosol-meteorological environment. Measurements from the NASA Cloud, Aerosol, and Monsoon Processes Philippines Experiment (CAMP²Ex; 24 August to 5 October 2019) and back trajectories from the National Oceanic and Atmospheric Administration Hybrid Single Particle Lagrangian Integrated Trajectory Model (HYSPLIT) were used to examine transport into the TNWP from the Maritime Continent (MC), peninsular Southeast Asia (PSEA), East Asia (EA), and the West Pacific (WP). A mid-campaign monsoon shift on …

The Missouri Miner, March 10, 2021

The Missouri Miner Newspaper

No abstract provided.

Review Of Testing By Analysis For Potential Implementation Into Aisi Standards, Committee On Specifications For The Design Of Cold-Formed Steel Structural Members

American Iron and Steel Institute (AISI) Specifications, Standards, Manuals and Research Reports (1946 - present)

New product development is crucial to allow innovation in the cold-formed steel structural industry. However, the required physical testing of new components and assemblies are often a cost barrier which prevents implementation and slows new product development. Testing by analysis can be a good alternative to physical testing as it reduces the expense and time for performing physical experiments, however, two considerations are necessary to ensure accurate results. First, it requires a rational engineering analysis to calculate the capacities and deformations of the system, and the requirements to produce accurate analyses must be explicitly stated. Second, it is necessary to …

Steel Diaphragm Innovation Initiative, Year 5, Final Report, American Iron And Steel Institute

American Iron and Steel Institute (AISI) Specifications, Standards, Manuals and Research Reports (1946 - present)

Summary

The Steel Diaphragm Innovation Initiative (SDII) is a multi-year industry-academic-government partnership to advance the seismic performance of steel floor and roof diaphragms utilized in steel buildings. This report provides a final report for Year 5 of the overall 5-year SDII plan. Contributions in the final 12 months (1 Jan. 2020 – 31 Dec. 2020) include the following highlights.

Innovation and Practice:

• Adoption in ASCE 7 of new provisions for bare steel deck including methods for buildings with rigid walls and flexible diaphragms, alternative diaphragm design with R_s, and special seismic detailing (following on from successful adoption in …

Tutorials For Mastan 2 And Related Validation, Committee On Specifications For The Design Of Cold-Formed Steel Structural Members

American Iron and Steel Institute (AISI) Specifications, Standards, Manuals and Research Reports (1946 - present)

This report creates the tutorials helping engineers to correctly model and analyze structural systems comprised of non-doubly symmetric sections using the latest version of MASTAN2. The report also validated a MASTAN2 model using non-doubly symmetric sections against results from a small test program. The following report and tutorials are provided:

AISI Small Project Summary – Tutorials for MASTAN2 and Related Validation

• Tutorial for MASTAN2 v5.1 - Introductory Frame
• Tutorial for MASTAN2 v5.1 - Pour Stop Beam
• Tutorial for MASTAN2 v5.1 - Steel Joist

Polaron Problems In Ultracold Atoms: Role Of A Fermi Sea Across Different Spatial Dimensions And Quantum Fluctuations Of A Bose Medium, Hiroyuki Tajima, Junichi Takahashi, Simeon I. Mistakidis, Eiji Nakano, Kei Iida

Physics Faculty Research & Creative Works

The Notion Of A Polaron, Originally Introduced In The Context Of Electrons In Ionic Lattices, Helps Us To Understand How A Quantum Impurity Behaves When Being Immersed In And Interacting With A Many-Body Background. We Discuss The Impact Of The Impurities On The Medium Particles By Considering Feedback Effects From Polarons That Can Be Realized In Ultracold Quantum Gas Experiments. In Particular, We Exemplify The Modifications Of The Medium In The Presence Of Either Fermi Or Bose Polarons. Regarding Fermi Polarons We Present A Corresponding Many-Body Diagrammatic Approach Operating At Finite Temperatures And Discuss How Mediated Two-And Three-Body Interactions Are …

Entangling Lattice-Trapped Bosons With A Free Impurity: Impact On Stationary And Dynamical Properties, Maxim Pyzh, Kevin Keiler, Simeon I. Mistakidis, Peter Schmelcher

Physics Faculty Research & Creative Works

We Address The Interplay Of Few Lattice Trapped Bosons Interacting With An Impurity Atom In A Box Potential. For The Ground State, A Classification Is Performed Based On The Fidelity Allowing To Quantify The Susceptibility Of The Composite System To Structural Changes Due To The Intercomponent Coupling. We Analyze The Overall Response At The Many-Body Level And Contrast It To The Single-Particle Level. By Inspecting Different Entropy Measures We Capture The Degree Of Entanglement And Intraspecies Correlations For A Wide Range Of Intra- And Intercomponent Interactions And Lattice Depths. We Also Spatially Resolve The Imprint Of The Entanglement On The …

Coded Caching In The Presence Of A Wire And A Cache Tapping Adversary Of Type Ii, Mohamed Nafea, Aylin Yener

Electrical and Computer Engineering Faculty Research & Creative Works

This paper introduces the notion of cache-tapping into the information theoretic models of coded caching. The wiretap channel II in the presence of multiple receivers equipped with fixed-size cache memories, and an adversary which selects symbols to tap into from cache placement and/or delivery is introduced. The legitimate terminals know neither whether placement, delivery, or both are tapped, nor the positions in which they are tapped. Only the size of the overall tapped set is known. For two receivers and two files, the strong secrecy capacity–the maximum achievable file rate while keeping the overall library strongly secure–is identified. Lower and …

An Iterative Hybrid Algorithm For Roots Of Non-Linear Equations, Chaman Lal Sabharwal

Computer Science Faculty Research & Creative Works

Finding the roots of non-linear and transcendental equations is an important problem in engineering sciences. In general, such problems do not have an analytic solution; the researchers resort to numerical techniques for exploring. We design and implement a three-way hybrid algorithm that is a blend of the Newton–Raphson algorithm and a two-way blended algorithm (blend of two methods, Bisection and False Position). The hybrid algorithm is a new single pass iterative approach. The method takes advantage of the best in three algorithms in each iteration to estimate an approximate value closer to the root. We show that the new algorithm …

Final Report - Autonomous Wall-Climbing Robots For Inspection And Maintenance Of Concrete Bridges, Jizhong Xiao, Liang Yang, Jinglun Feng, Ejup Hoxha

Project AS-3

This project developed wall-climbing robots to carry non-destructive evaluation (NDE) devices for automatic data collection and surface/subsurface defect detection in concrete structures. By using simultaneous localization and mapping (SLAM), the robots can be located to allow for incremental 3D model reconstruction. An image dataset with pixel-level accuracy is collected and labeled to train a deep neural network (i.e., InspectionNet) with 12,000 iterations for each defect type. A ground penetrating radar (GPR)-based subsurface object detection method is proposed to implement visual inertial fusion for the estimation of the GPR pose, use a deep neural network module (i.e., DepthNet) to extract hyperbola …

The Missouri Miner, February 24, 2021

The Missouri Miner Newspaper

No abstract provided.

Ft-Cnn: Algorithm-Based Fault Tolerance For Convolutional Neural Networks, Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, For Full List Of Authors, See Publisher's Website.

Computer Science Faculty Research & Creative Works

Convolutional neural networks (CNNs) are becoming more and more important for solving challenging and critical problems in many fields. CNN inference applications have been deployed in safety-critical systems, which may suffer from soft errors caused by high-energy particles, high temperature, or abnormal voltage. Of critical importance is ensuring the stability of the CNN inference process against soft errors. Traditional fault tolerance methods are not suitable for CNN inference because error-correcting code is unable to protect computational components, instruction duplication techniques incur high overhead, and existing algorithm-based fault tolerance (ABFT) techniques cannot protect all convolution implementations. In this paper, we focus …

The Missouri Miner, February 17, 2021

The Missouri Miner Newspaper

No abstract provided.

A Molecular Tetrahedral Cobalt-Seleno-Based Complex As An Efficient Electrocatalyst For Water Splitting, Ibrahim Munkaila Abdullahi, Jahangir Masud, Polydoros Chrisovalantis Ioannou, Eleftherios Ferentinos, Panayotis Kyritsis, Manashi Nath

Chemistry Faculty Research & Creative Works

The cobalt-seleno-based coordination complex, [Co{(SePⁱPr₂)₂N}₂], is reported with respect to its catalytic activity in oxygen evolution and hydrogen evolution reactions (OER and HER, respectively) in alkaline solutions. An overpotential of 320 and 630 mV was required to achieve 10 mA cm^-2 for OER and HER, respectively. The overpotential for OER of this CoSe₄-containing complex is one of the lowest that has been observed until now for molecular cobalt(II) systems, under the reported conditions. In addition, this cobalt-seleno-based complex exhibits a high mass activity (14.15 A g^-1) and …

On The Applicability Of Continuum Scale Models For Ultrafast Nanoscale Liquid-Vapor Phase Change, Anirban Chandra, Zhi Liang, Assad A. Oberai, Onkar Sahni, Pawel Keblinski

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Continuum Methods Are Efficient in Modeling Multi-Phase Flow at Large Time and Length Scales, However, their Applicability to Nanoscale Systems and Processes is Questionable. When Mean Free Path and Average Time between Atomic Collisions Are Comparable to the Characteristic Length and Time Scales of Interest, the Continuum Hypothesis Approaches its Spatial and Temporal Limit. Here We Discuss the Implications of Modeling Such a Limiting Problem Involving Liquid-Vapor Phase Change using Continuum Equations of Mass, Momentum, and Energy Conservation. Our Results Indicate that, Continuum Conservation Laws Can Correctly Represent the Dynamics of the Specific Problem of Interest Provided Appropriate Constitutive Relations …

Decoupling Of Antennas With Adjacent Frequency Bands Using Cascaded Decoupling Network, Min Li, Min Wang, Lijun Jiang, Lawrence Kwan Yeung

Electrical and Computer Engineering Faculty Research & Creative Works

This communication presents a novel decoupling device called a cascaded power dividing decoupling network (C-PDDN). It is cascaded with two antennas operating in adjacent or even contiguous frequency bands to reduce the mutual coupling. To achieve high isolations at n desired frequency points, an n -order C-PDDN can be accordingly designed. Each order PDDN consists of two power dividers (PDs), two sections of transmission lines, and one reactive component. Explicit design formulas are presented to calculate the design parameters of the C-PDDN to meet the required isolation criteria. To validate the decoupling concept, a two-order C-PDDN is designed and applied …

Interplay Between Oxo And Fluoro In Vanadium Oxyfluorides For Centrosymmetric And Non-Centrosymmetric Structure Formation, Prashanth Sandineni, Amitava Choudhury, Hooman Yaghoobnejad Asl, Weiguo Zhang, P. Shiv Halasyamani, Kartik Ghosh

Chemistry Faculty Research & Creative Works

Herein, we report the syntheses of two lithium-vanadium oxide-fluoride compounds crystallized from the same reaction mixture through a time variation experiment. A low temperature hydrothermal route employing a viscous paste of V₂O₅, oxalic acid, LiF, and HF allowed the crystallization of one metastable phase initially, Li₂VO_0.55 (H₂O)_0.45F₅·2H₂O (I), which on prolonged heating transforms to a chemically similar yet structurally different phase, Li₃VOF₅ (II). Compound I crystallizes in centrosymmetric space group, I2/a with a = 6.052(3), b = 7.928(4), …

Ship Detection And Tracking In Inland Waterways Using Improved Yolov3 And Deep Sort, Yang Jie, Lilianasimwe Leonidas, Farhan Mumtaz, Munsif Ali

Electrical and Computer Engineering Faculty Research & Creative Works

Ship detection and tracking is an important task in video surveillance in inland waterways. However, ships in inland navigation are faced with accidents such as collisions. For collision avoidance, we should strengthen the monitoring of navigation and the robustness of the entire system. Hence, this paper presents ship detection and tracking of ships using the improved You Only Look Once version 3 (YOLOv3) detection algorithm and Deep Simple Online and Real-time Tracking (Deep SORT) tracking algorithm. Three improvements are made to the YOLOv3 target detection algorithm. Firstly, the Kmeans clustering algorithm is used to optimize the initial value of the …

Optimal Tracking Current Control Of Switched Reluctance Motor Drives Using Reinforcement Q-Learning Scheduling, Hamad Alharkan, Sepehr Saadatmand, Mehdi Ferdowsi, Pourya Shamsi

Electrical and Computer Engineering Faculty Research & Creative Works

In this article, a novel Q-learning scheduling method for the current controller of a switched reluctance motor (SRM) drive is investigated. The Q-learning algorithm is a class of reinforcement learning approaches that can find the best forward-in-time solution of a linear control problem. An augmented system is constructed based on the reference current signal and the SRM model to allow for solving the algebraic Riccati equation of the current-tracking problem. This article introduces a new scheduled-Q-learning algorithm that utilizes a table of Q-cores that lies on the nonlinear surface of an SRM model without involving any information about the model …

Stokes-Darcy System, Small-Darcy-Number Behaviour And Related Interfacial Conditions, Wenqi Lyu, Xiaoming Wang

Mathematics and Statistics Faculty Research & Creative Works

We show that the Stokes-Darcy system, which governs flows through adjacent porous and pure-fluid domains in the two-domain approach without forced filtration, can be recovered from the Helmholtz minimal dissipation principle. While the continuity of normal velocity across the interface is imposed explicitly for mass conservation, only the Beavers-Joseph-Saffman-Jones (BJSJ) interface boundary condition is imposed implicitly, and the balance of the normal-force interface boundary condition appears naturally in the variational process. This set of interface boundary conditions is well-accepted in the mathematics community. We show that these interfacial boundary conditions, at the physically important small-Darcy-number regime, are consistent with continuity …

Multimodal Learning For Hateful Memes Detection, Yi Zhou, Zhenhao Chen, Huiyuan Yang

Computer Science Faculty Research & Creative Works

Memes are used for spreading ideas through social networks. Although most memes are created for humor, some memes become hateful under the combination of pictures and text. Automatically detecting hateful memes can help reduce their harmful social impact. Compared to the conventional multimodal tasks, where the visual and textual information is semantically aligned, hateful memes detection is a more challenging task since the image and text in memes are weakly aligned or even irrelevant. Thus, it requires the model to have a deep understanding of the content and perform reasoning over multiple modalities. This paper focuses on multimodal hateful memes …

What Are The Dominant Flow Regimes During Carbon Dioxide Propagation In Shale Reservoirs’ Matrix, Natural Fractures And Hydraulic Fractures?, Sherif Fakher, Youssef Elgahawy, Hesham Abdelaal, Abdulmohsin Imqam

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Carbon dioxide (CO₂) injection in low permeability shale reservoirs has recently gained much attention due to the claims that it has a large recovery factor and can also be used in CO₂ storage operations. This research investigates the different flow regimes that the CO₂ will exhibit during its propagation through the fractures, micropores, and the nanopores in unconventional shale reservoirs to accurately evaluate the mechanism by which CO₂ recovers oil from these reservoirs. One of the most widely used tools to distinguish between different flow regimes is the Knudsen Number. Initially, a mathematical analysis of …

Evaluation Of Robust Epoxy Resin Sealants For Wellbore Integrity Applications, Mohammed Mousa M Alkhamis

Doctoral Dissertations

"During the drilling and completion phases of oil and gas wells, cement is placed in the wellbore as a barrier between the casing and the formation. All casing strings must be cemented to protect and support the casing, and to isolate production zones. The primary cement must prevent the wellbore fluids from migrating in an annular flow path so as to allow the wells to be utilized without any control problems. The primary cement may fail to deliver full zonal isolation due to several reasons such as insufficient mud removal before the cementing, casing expansion, and contraction, high fluid losses, …

Multi-Fidelity Modeling For Aerothermal Analysis Of Deployable Planetary Entry Technologies, Mario J. Santos

Doctoral Dissertations

“NASA is developing deployable entry technologies in the form of the Hypersonic Inflatable Aerodynamic Decelerator (HIAD) and the Adaptable Deployable Entry Technology (ADEPT) vehicles to support human exploration of Mars. To ensure that these technologies are reliable under uncertain entry conditions and extreme aerothermal environments, uncertainty quantification must be integrated into the design process which typically requires large number of high-fidelity computational fluid dynamics (CFD) simulations with prohibitively high computational cost. To address this challenge, construction of multi-fidelity aerothermal response predictions which combine low-fidelity correlations with fewer high-fidelity CFD models in a way that produces highly accurate surrogates with reduced …

Nnbmss: A Novel And Fast Method For Model Structure Selection, Amaury Lendasse, Kallin Khan, Edward Ratner

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Paper, We Present a New Method to Perform Model Structure Selection. This Proposed Method Can Be Used to Select the Complexity of Any Continuous Regression Method. We Also Present an Asymptotic Mathematical Proof of the Proposed Method and the New Method is Illustrated on a Benchmark. Compared to the Well-Known 10-Fold Cross-Validation, the Computational Time Associated to Our New Method is Approximately Divided by a Factor 8 as Illustrated on the Benchmark.

Machine Learning For Measuring And Analyzing Online Social Communications, Chris Bronk, Amaury Lendasse, Peggy Lindner, Dan S. Wallach, Barbara Hammer

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Paper, We Propose a Framework for Application of a Novel Machine Learning-Based System for Analyzing Online Social Communications. as an Example, We Are Targeting Anti-Semitic Graphical Memes Posted to Social Media. We Presented Very Promising Preliminary Results on a Facebook Dataset that Consists of a Total of 10000 Labeled Memes. We Can Conclude that Machine Learning Will Soon Be Able to Successfully Analyze and Monitor Complex Social Communications.

An Examination Of The Effects Of Environmental Regulations On Retail Gasoline Price Seasonality, Michael C. Davis

Economics Faculty Research & Creative Works

Stricter environmental standards on gasoline have had impacts on the prices of gasoline including the seasonality of gasoline prices. Using both national data and individual station data, the paper tests for a possible explanation for this increase. Three theories are tested: that gasoline seasonality increases due to higher costs, due to greater market power because of segmented markets, or due to greater asymmetry because of greater inattention on the part of customers. The results suggest that gasoline price seasonality has increased both due to higher costs and greater market power with mixed results on the inattention of consumers.(JEL Q41, Q53, …

Efficient Solution Of Surface Erosion In Particle-Laden Hypersonic Flows, Andrew Hinkle, Serhat Hosder, Christopher Johnston

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The standard approach for simulating hypersonic dust erosion problems using mixed Eulerian-Lagrangian two-phase solvers is too computationally expensive for routine simulations, and particularly for uncertainty quantification (UQ) analyses. To enable these analyses, a new approach for solving this problem with a sparse set of particles is presented and demonstrated on a problem from literature involving the ExoMars Schiaparelli entry vehicle. This new approach, referred to here as the Trajectory Control Volume (TCV) method is verified against traditional approaches based on Monte Carlo, and is shown to require over 3 orders-of-magnitude less samples to obtain the same results. An example UQ …

A Simple Background Elimination Method For Miniaturized Fiber-Optic Raman Probe, Bohong Zhang

Masters Theses

"Raman scattering is called a photonic - molecular interaction based on the kinetic model of the analytic. Due to the uniqueness of the Raman scattering technique, it can provide a unique fingerprint signal for molecular recognition. However, a serious challenge often encountered in Raman measurement comes from the requirements of fast, real-time remote sensing, background fluorescence suppression, and micro-environmental detection.

A new Miniaturized Fiber-Optic Raman Probe (MFORP) for Raman spectroscopy, used especially for eliminating background fluorescence and enhancing sampling, is presented. Its main purpose is to provide an overview of excellent research on the detection of very small substances and …