Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Engineering (548)
- Physical Sciences and Mathematics (212)
- Electrical and Computer Engineering (161)
- Civil and Environmental Engineering (126)
- Chemical Engineering (90)
-
- Architecture (86)
- Materials Science and Engineering (79)
- Architectural Engineering (71)
- Computer Sciences (63)
- Mechanical Engineering (60)
- Chemistry (55)
- Aerospace Engineering (53)
- Physics (50)
- Geological Engineering (48)
- Petroleum Engineering (41)
- Mathematics (27)
- Statistics and Probability (26)
- Biochemical and Biomolecular Engineering (24)
- Biomedical Engineering and Bioengineering (18)
- Structural Engineering (18)
- Mining Engineering (17)
- Civil Engineering (16)
- Earth Sciences (15)
- Social and Behavioral Sciences (15)
- Nuclear Engineering (14)
- Geology (13)
- Metallurgy (13)
- Arts and Humanities (11)
- Life Sciences (11)
- Geophysics and Seismology (9)
- Keyword
-
- Machine learning (17)
- Additive manufacturing (14)
- Rheology (11)
- Deep learning (9)
- Isolation (6)
-
- Machine Learning (6)
- Mechanical properties (6)
- Optimization (6)
- Thermal conductivity (6)
- 3D printing (5)
- Artificial intelligence (5)
- Borides (5)
- Carbides (5)
- Conformance control (5)
- Coupling (5)
- Drone (5)
- Internet of Things (5)
- Microstructure (5)
- Renewable energy (5)
- UHPC (5)
- Ultra-high temperature ceramics (5)
- Additives (4)
- Atomic layer deposition (4)
- Compressive strength (4)
- Convolutional neural network (4)
- IoT (4)
- Oxidation (4)
- Remote sensing (4)
- Repair (4)
- Shrinkage (4)
- Publication
-
- Electrical and Computer Engineering Faculty Research & Creative Works (137)
- Doctoral Dissertations (97)
- Civil, Architectural and Environmental Engineering Faculty Research & Creative Works (91)
- Computer Science Faculty Research & Creative Works (51)
- Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works (48)
-
- Physics Faculty Research & Creative Works (46)
- Mechanical and Aerospace Engineering Faculty Research & Creative Works (44)
- Chemistry Faculty Research & Creative Works (43)
- Materials Science and Engineering Faculty Research & Creative Works (42)
- Chemical and Biochemical Engineering Faculty Research & Creative Works (39)
- Masters Theses (37)
- Undergraduate Research Conference at Missouri S&T (28)
- Mathematics and Statistics Faculty Research & Creative Works (23)
- Engineering Management and Systems Engineering Faculty Research & Creative Works (14)
- Mining Engineering Faculty Research & Creative Works (12)
- Arts, Languages and Philosophy Faculty Research & Creative Works (6)
- Business and Information Technology Faculty Research & Creative Works (6)
- Psychological Science Faculty Research & Creative Works (5)
- Scholars’ Mine Statistics (4)
- Biological Sciences Faculty Research & Creative Works (3)
- English and Technical Communication Faculty Research & Creative Works (3)
- Nuclear Engineering and Radiation Science Faculty Research & Creative Works (3)
- American Iron and Steel Institute (AISI) Specifications, Standards, Manuals and Research Reports (1946 - present) (2)
- Honors Academy (2)
- INSPIRE Archived Webinars (2)
- INSPIRE Newsletters (2)
- Minutes & Agendas (2)
- Russian Linguistics Research (2)
- Semi-Annual Progress Reports (2)
- The Bridge Newsletter (2)
- Publication Type
Articles 1 - 30 of 808
Full-Text Articles in Entire DC Network
2022 Scholarly Productivity Report, Missouri University Of Science And Technology
2022 Scholarly Productivity Report, Missouri University Of Science And Technology
Civil, Architectural and Environmental Engineering Scholarly Productivity Reports
No abstract provided.
Predicting Convection Configurations In Coupled Fluid-Porous Systems, Matthew Mccurdy, Nicholas J. Moore, Xiaoming Wang
Predicting Convection Configurations In Coupled Fluid-Porous Systems, Matthew Mccurdy, Nicholas J. Moore, Xiaoming Wang
Mathematics and Statistics Faculty Research & Creative Works
A ubiquitous arrangement in nature is a free-flowing fluid coupled to a porous medium, for example a river or lake lying above a porous bed. Depending on the environmental conditions, thermal convection can occur and may be confined to the clear fluid region, forming shallow convection cells, or it can penetrate into the porous medium, forming deep cells. Here, we combine three complementary approaches - linear stability analysis, fully nonlinear numerical simulations and a coarse-grained model - to determine the circumstances that lead to each configuration. the coarse-grained model yields an explicit formula for the transition between deep and shallow …
Enhanced Neurologic Concept Recognition Using A Named Entity Recognition Model Based On Transformers, Sima Azizi, Daniel B. Hier, Donald C. Wunsch
Enhanced Neurologic Concept Recognition Using A Named Entity Recognition Model Based On Transformers, Sima Azizi, Daniel B. Hier, Donald C. Wunsch
Chemistry Faculty Research & Creative Works
Although Deep Learning Has Been Applied to the Recognition of Diseases and Drugs in Electronic Health Records and the Biomedical Literature, Relatively Little Study Has Been Devoted to the Utility of Deep Learning for the Recognition of Signs and Symptoms. the Recognition of Signs and Symptoms is Critical to the Success of Deep Phenotyping and Precision Medicine. We Have Developed a Named Entity Recognition Model that Uses Deep Learning to Identify Text Spans Containing Neurological Signs and Symptoms and Then Maps These Text Spans to the Clinical Concepts of a Neuro-Ontology. We Compared a Model based on Convolutional Neural Networks …
Shock Wave Formation From Head-On Collision Of Two Subsonic Vortex Rings, Rachel L. Bauer, Cody J. Thomas, Everett V.P. Baker, Emily M. Johnson, Kelly R. Williams, Martin J. Langenderfer, Catherine E. Johnson
Shock Wave Formation From Head-On Collision Of Two Subsonic Vortex Rings, Rachel L. Bauer, Cody J. Thomas, Everett V.P. Baker, Emily M. Johnson, Kelly R. Williams, Martin J. Langenderfer, Catherine E. Johnson
Mining Engineering Faculty Research & Creative Works
Vortex ring collisions have attracted intense interest in both water and air studies (Baird in Proc R Soc Lond Ser Math Phys Sci 409:59-65, 1987, Poudel et al. in Phys Fluids 33:096105, 2021, Lim and Nickels in Nature 357:225, 1992, New et al. in Exp Fluids 57:109, 2016, Suzuki et al. in Geophys Res Lett 34, 2007, Yan et al. in J Fluids Eng 140:054502, 2018, New et al. in J Fluid Mech 899, 2020, Cheng et al. in Phys Fluids 31:067107, 2019, Hernández and Reyes in 29:103604, 2017, Mishra et al. in Phys Rev Fluids, 2021, Zednikova et al. …
A Fiber-Optic Sensor-Embedded And Machine Learning Assisted Smart Helmet For Multi-Variable Blunt Force Impact Sensing In Real Time, Yiyang Zhuang, Taihao Han, Qingbo Yang, Ryan O'Malley, Aditya Kumar, Rex E. Gerald, Jie Huang
A Fiber-Optic Sensor-Embedded And Machine Learning Assisted Smart Helmet For Multi-Variable Blunt Force Impact Sensing In Real Time, Yiyang Zhuang, Taihao Han, Qingbo Yang, Ryan O'Malley, Aditya Kumar, Rex E. Gerald, Jie Huang
Materials Science and Engineering Faculty Research & Creative Works
Early on-site diagnosis of mild traumatic brain injury (mTBI) will provide the best guidance for clinical practice. However, existing methods and sensors cannot provide sufficiently detailed physical information related to the blunt force impact. In the present work, a smart helmet with a single embedded fiber Bragg grating (FBG) sensor is developed, which can monitor complex blunt force impact events in real time under both wired and wireless modes. The transient oscillatory signal "fingerprint" can specifically reflect the impact-caused physical deformation of the local helmet structure. By combination with machine learning algorithms, the unknown transient impact can be recognized quickly …
Dendrimer-Based Drug Delivery Systems: History, Challenges, And Latest Developments, Juan Wang, Boxuan Li, Li Qiu, Xin Qiao, Hu Yang
Dendrimer-Based Drug Delivery Systems: History, Challenges, And Latest Developments, Juan Wang, Boxuan Li, Li Qiu, Xin Qiao, Hu Yang
Chemical and Biochemical Engineering Faculty Research & Creative Works
Since the first dendrimer was reported in 1978 by Fritz Vögtle, dendrimer research has grown exponentially, from synthesis to application in the past four decades. The distinct structure characteristics of dendrimers include nanoscopic size, multi-functionalized surface, high branching, cavernous interior, and so on, making dendrimers themselves ideal drug delivery vehicles. This mini review article provides a brief overview of dendrimer's history and properties and the latest developments of dendrimers as drug delivery systems. This review focuses on the latest progress in the applications of dendrimers as drug and gene carriers, including 1) active drug release strategies to dissociate drug/gene from …
Improvement For Mimo Systems By Increasing Antenna Isolation And Shaping Radiation Pattern Using Hybrid Network, Min Li, Yujie Zhang, Fan Jiang, Di Wu, Kwan Lawrence Yeung, Lijun Jiang, Ross Murch
Improvement For Mimo Systems By Increasing Antenna Isolation And Shaping Radiation Pattern Using Hybrid Network, Min Li, Yujie Zhang, Fan Jiang, Di Wu, Kwan Lawrence Yeung, Lijun Jiang, Ross Murch
Electrical and Computer Engineering Faculty Research & Creative Works
In this article, a novel method is proposed to design a hybrid network (HN) to increase isolation and shape radiation patterns for multiple-input multiple-output (MIMO) antenna systems. The HN is a combination of a decoupling feeding network and a defected ground network, which are populated by several surface-mounted reactive components whose reactances are determined by the N-ary optimization algorithm. Two decoupling examples are presented to validate the design methodology and elaborate on the design procedure. Measurement results show that the HN helps to realize impedance matching with reflection coefficients below -10 dB, isolation improvement from -5.4/-8.9 dB to below -20 …
Natural 2d Layered Mineral Cannizzarite With Anisotropic Optical Responses, Arindam Dasgupta, Xiaodong Yang, Jie Gao
Natural 2d Layered Mineral Cannizzarite With Anisotropic Optical Responses, Arindam Dasgupta, Xiaodong Yang, Jie Gao
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Cannizzarite is a naturally occurring mineral formed by van der Waals (vdW) stacking of alternating layers of PbS-like and Bi2S3-like two-dimensional (2D) materials. Although the PbS-type and Bi2S3-type 2D material layers are structurally isotropic individually, the forced commensuration between these two types of layers while forming the heterostructure of cannizzarite induces strong structural anisotropy. Here we demonstrate the mechanical exfoliation of natural cannizzarite mineral to obtain thin vdW heterostructures of PbS-type and Bi2S3-type atomic layers. The structural anisotropy induced anisotropic optical properties of thin cannizzarite flakes are explored through angle-resolved polarized Raman scattering, linear dichroism, and polarization-dependent anisotropic third-harmonic generation. …
The Bridge Newsletter Winter 2022, Missouri University Of Science And Technology
The Bridge Newsletter Winter 2022, Missouri University Of Science And Technology
The Bridge Newsletter
-Missouri S&T CO2 research is rock solid
-Bringing circular economy to construction projects
-Ph.D. graduate wins Fellowship for solar farm protection research
-Rockne presents 2022 Mathes Lecture on ways to evolve engineering education
-Missouri S&T Ph.D. graduate wins $70,000 Laegeler Fellowship for solar farm protection research
It’S Time To Change Our Documentation Philosophy: Writing Better Neurology Notes Without The Burnout, Jorge M. Rodríguez-Fernández, Jeffrey A. Loeb, Daniel B. Hier
It’S Time To Change Our Documentation Philosophy: Writing Better Neurology Notes Without The Burnout, Jorge M. Rodríguez-Fernández, Jeffrey A. Loeb, Daniel B. Hier
Chemistry Faculty Research & Creative Works
Succinct Clinical Documentation is Vital to Effective Twenty-First-Century Healthcare. Recent Changes in Outpatient and Inpatient Evaluation and Management (E/M) Guidelines Have Allowed Neurology Practices to Make Changes that Reduce the Documentation Burden and Enhance Clinical Note Usability. Despite Favorable Changes in E/M Guidelines, Some Neurology Practices Have Not Moved Quickly to Change their Documentation Philosophy. We Argue in Favor of Changes in the Design, Structure, and Implementation of Clinical Notes that Make Them Shorter Yet Still Information-Rich. a Move from Physician-Centric to Team Documentation Can Reduce Work for Physicians. Changing the Documentation Philosophy from "Bigger is Better" to "Short But …
The Effects Of Methanol Clustering On Methanol-Water Nucleation, Tong Sun, Gerald Wilemski, Barbara N. Hale, Barbara E. Wyslouzil
The Effects Of Methanol Clustering On Methanol-Water Nucleation, Tong Sun, Gerald Wilemski, Barbara N. Hale, Barbara E. Wyslouzil
Physics Faculty Research & Creative Works
The formation of subcritical methanol clusters in the vapor phase is known to complicate the analysis of nucleation measurements. Here, we investigate how this process affects the onset of binary nucleation as dilute water-methanol mixtures in nitrogen carrier gas expand in a supersonic nozzle. These are the first reported data for water-methanol nucleation in an expansion device. We start by extending an older monomer-dimer-tetramer equilibrium model to include larger clusters, relying on Helmholtz free energy differences derived from Monte Carlo simulations. The model is validated against the pressure/temperature measurements of Laksmono et al. [Phys. Chem. Chem. Phys. 13, 5855 (2011)] …
Characterizations And Potential Recovery Pathways Of Phosphate Mines Waste Rocks, Amine El Mahdi Safhi, Hicham Amar, Yahya El Berdai, Mustapha El Ghorfi, Yassine Taha, Rachid Hakkou, Muthanna H. Al-Dahhan, Mostafa Benzaazoua
Characterizations And Potential Recovery Pathways Of Phosphate Mines Waste Rocks, Amine El Mahdi Safhi, Hicham Amar, Yahya El Berdai, Mustapha El Ghorfi, Yassine Taha, Rachid Hakkou, Muthanna H. Al-Dahhan, Mostafa Benzaazoua
Chemical and Biochemical Engineering Faculty Research & Creative Works
The Phosphate Ore Production is Steadily Increasing Due to its High Demand for Agriculture, Medicine, and Others. Ore Extraction Generates a Considerable Quantity of Waste Rocks that Are Generally Stocked in Piles. the Current Research Aims to Investigate the Characterization of Phosphate Mine Waste Rocks (PMWR) Generated in Benguerir, Morocco Mine Site. as a Part of a Wide Project Aiming to Recycle Those Stockpiles, Sensor-Based Ore Sorting Will Be Employed to Separate the Different Lithologies. as a Prior Investigation Before Implementing This Technology, Two Samples of 25 Tons from the Destoning and Screening PMWR Piles Were Sampled and Submitted to …
Tau Kinetics In Alzheimer's Disease, Daniel B. Hier, Sima Azizi, Matthew S. Thimgan, Donald C. Wunsch
Tau Kinetics In Alzheimer's Disease, Daniel B. Hier, Sima Azizi, Matthew S. Thimgan, Donald C. Wunsch
Chemistry Faculty Research & Creative Works
The Cytoskeletal Protein Tau is Implicated in the Pathogenesis of Alzheimer's Disease Which is Characterized by Intra-Neuronal Neurofibrillary Tangles Containing Abnormally Phosphorylated Insoluble Tau. Levels of Soluble Tau Are Elevated in the Brain, the CSF, and the Plasma of Patients with Alzheimer's Disease. to Better Understand the Causes of These Elevated Levels of Tau, We Propose a Three-Compartment Kinetic Model (Brain, CSF, and Plasma). the Model Assumes that the Synthesis of Tau Follows Zero-Order Kinetics (Uncorrelated with Compartmental Tau Levels) and that the Release, Absorption, and Clearance of Tau is Governed by First-Order Kinetics (Linearly Related to Compartmental Tau Levels). …
Conservative Unconditionally Stable Decoupled Numerical Schemes For The Cahn–Hilliard–Navier–Stokes–Darcy–Boussinesq System, Wenbin Chen, Daozhi Han, Xiaoming Wang, Yichao Zhang
Conservative Unconditionally Stable Decoupled Numerical Schemes For The Cahn–Hilliard–Navier–Stokes–Darcy–Boussinesq System, Wenbin Chen, Daozhi Han, Xiaoming Wang, Yichao Zhang
Mathematics and Statistics Faculty Research & Creative Works
We propose two mass and heat energy conservative, unconditionally stable, decoupled numerical algorithms for solving the Cahn–Hilliard–Navier–Stokes–Darcy–Boussinesq system that models thermal convection of two-phase flows in superposed free flow and porous media. The schemes totally decouple the computation of the Cahn–Hilliard equation, the Darcy equations, the heat equation, the Navier–Stokes equations at each time step, and thus significantly reducing the computational cost. We rigorously show that the schemes are conservative and energy-law preserving. Numerical results are presented to demonstrate the accuracy and stability of the algorithms.
Second-Order, Fully Decoupled, Linearized, And Unconditionally Stable Scalar Auxiliary Variable Schemes For Cahn–Hilliard–Darcy System, Yali Gao, Xiaoming He, Yufeng Nie
Second-Order, Fully Decoupled, Linearized, And Unconditionally Stable Scalar Auxiliary Variable Schemes For Cahn–Hilliard–Darcy System, Yali Gao, Xiaoming He, Yufeng Nie
Mathematics and Statistics Faculty Research & Creative Works
In this paper, we establish the fully decoupled numerical methods by utilizing scalar auxiliary variable approach for solving Cahn–Hilliard–Darcy system. We exploit the operator splitting technique to decouple the coupled system and Galerkin finite element method in space to construct the fully discrete formulation. The developed numerical methods have the features of second order accuracy, totally decoupling, linearization, and unconditional energy stability. The unconditionally stability of the two proposed decoupled numerical schemes are rigorously proved. Abundant numerical results are reported to verify the accuracy and effectiveness of proposed numerical methods.
A Novel Microgrid Fault Detection And Classification Method Using Maximal Overlap Discrete Wavelet Packet Transform And An Augmented Lagrangian Particle Swarm Optimization-Support Vector Machine, Masoud Ahmadipour, Muhammad Murtadha Othman, Rui Bo, Zainal Salam, Hussein Mohammed Ridha, Kamrul Hasan
A Novel Microgrid Fault Detection And Classification Method Using Maximal Overlap Discrete Wavelet Packet Transform And An Augmented Lagrangian Particle Swarm Optimization-Support Vector Machine, Masoud Ahmadipour, Muhammad Murtadha Othman, Rui Bo, Zainal Salam, Hussein Mohammed Ridha, Kamrul Hasan
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, an intelligent method for fault detection and classification for a microgrid (MG) was proposed. The idea was based on the combination of three computational tools: signal processing using the maximal overlap discrete wavelet packet transform (MODWPT), parameter optimization by the augmented Lagrangian particle swarm optimization (ALPSO), and machine learning using the support vector machine (SVM). The MODWPT was applied to preprocess half cycle of the post-fault current samples measured at both ends of feeders. The wavelet coefficients derived from the MODWPT were statistically evaluated using the mean, standard deviation, energy, skewness, kurtosis, logarithmic energy entropy, max, min, …
Pattern Selection In The Schnakenberg Equations: From Normal To Anomalous Diffusion, Hatim K. Khudhair, Yanzhi Zhang, Nobuyuki Fukawa
Pattern Selection In The Schnakenberg Equations: From Normal To Anomalous Diffusion, Hatim K. Khudhair, Yanzhi Zhang, Nobuyuki Fukawa
Mathematics and Statistics Faculty Research & Creative Works
Pattern formation in the classical and fractional Schnakenberg equations is studied to understand the nonlocal effects of anomalous diffusion. Starting with linear stability analysis, we find that if the activator and inhibitor have the same diffusion power, the Turing instability space depends only on the ratio of diffusion coefficients (Formula presented.). However, smaller diffusive powers might introduce larger unstable wave numbers with wider band, implying that the patterns may be more chaotic in the fractional cases. We then apply a weakly nonlinear analysis to predict the parameter regimes for spot, stripe, and mixed patterns in the Turing space. Our numerical …
Stable Matching Based Resource Allocation For Service Provider's Revenue Maximization In 5g Networks, Ajay Pratap, Sajal K. Das
Stable Matching Based Resource Allocation For Service Provider's Revenue Maximization In 5g Networks, Ajay Pratap, Sajal K. Das
Computer Science Faculty Research & Creative Works
5G technology is foreseen to have a heterogeneous architecture with the various computational capability, and radio-enabled service providers (SPs) and service requesters (SRs), working altogether in a cellular model. However, the coexistence of heterogeneous network model spawns several research challenges such as diverse SRs with uneven service deadlines, interference management, and revenue maximization of non-uniform computational capacities enabled SPs. Thus, we propose a coexistence of heterogeneous SPs and SRs enabled cellular 5G network and formulate the SPs' revenue maximization via resource allocation, considering different kinds of interference, data rate, and latency altogether as an optimization problem and further propose a …
Dtc: A Dynamic Transaction Chopping Technique For Geo-Replicated Storage Services, Ning Huang, Lihui Wu, Weigang Wu, Sajal K. Das
Dtc: A Dynamic Transaction Chopping Technique For Geo-Replicated Storage Services, Ning Huang, Lihui Wu, Weigang Wu, Sajal K. Das
Computer Science Faculty Research & Creative Works
Replicating data across geo-distributed datacenters is usually necessary for large scale cloud services to achieve high locality, durability and availability. One of the major challenges in such geo-replicated data services lies in consistency maintenance, which usually suffers from long latency due to costly coordination across datacenters. Among others, transaction chopping is an effective and efficient approach to address this challenge. However, existing chopping is conducted statically during programming, which is stubborn and complex for developers. In this article, we propose Dynamic Transaction Chopping (DTC), a novel technique that does transaction chopping and determines piecewise execution in a dynamic and automatic …
Transcriptional Regulatory Network Topology With Applications To Bio-Inspired Networking: A Survey, Satyaki Roy, Preetam Ghosh, Nirnay Ghosh, Sajal K. Das
Transcriptional Regulatory Network Topology With Applications To Bio-Inspired Networking: A Survey, Satyaki Roy, Preetam Ghosh, Nirnay Ghosh, Sajal K. Das
Computer Science Faculty Research & Creative Works
The advent of the edge computing network paradigm places the computational and storage resources away from the data centers and closer to the edge of the network largely comprising the heterogeneous IoT devices collecting huge volumes of data. This paradigm has led to considerable improvement in network latency and bandwidth usage over the traditional cloud-centric paradigm. However, the next generation networks continue to be stymied by their inability to achieve adaptive, energy-efficient, timely data transfer in a dynamic and failure-prone environment - the very optimization challenges that are dealt with by biological networks as a consequence of millions of years …
Further Comments On "Engineering Shape Anisotropy Of Fe3o4-Γ-Fe2o3hollow Nanoparticles For Magnetic Hyperthermia", Fernande Grandjean, Gary J. Long
Further Comments On "Engineering Shape Anisotropy Of Fe3o4-Γ-Fe2o3hollow Nanoparticles For Magnetic Hyperthermia", Fernande Grandjean, Gary J. Long
Chemistry Faculty Research & Creative Works
In their earlier paper, Niraula et al. (ACS Appl. Nano Mater. 2021, 4, 3148-3158) described the morphological, compositional, and magnetic properties of three different magnetite/maghemite or Fe3O4/γ-Fe2O3, hollow nanoparticles, referred to herein as nanorings, short-nanotubes, and long-nanotubes. Scanning electron microscopy indicates that these nanoparticles have lengths of 275 ± 51, 411 ± 92, and 515 ± 98 nm and outer diameters of 201 ± 55, 251 ± 46, and 229 ± 42 nm, respectively, dimensions that are all rather similar in view of their distributions, as is shown in a figure herein. …
Optimization Of Mixture Parameter For Physical And Mechanical Properties Of Reactive Powder Concrete Under External Sulfate Attack Using Taguchi Method, Umut Bakhbergen, Chang Seon Shon, Dichuan Zhang, Jong Ryeol Kim, Jenny Liu
Optimization Of Mixture Parameter For Physical And Mechanical Properties Of Reactive Powder Concrete Under External Sulfate Attack Using Taguchi Method, Umut Bakhbergen, Chang Seon Shon, Dichuan Zhang, Jong Ryeol Kim, Jenny Liu
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Reactive powder concrete (RPC) is defined as a cementitious composite material with an optimized size of granular constituents, very low water-to-binder ratio (w/b), pozzolanic materials like silica fume (SF), and discontinuous fiber reinforcement. RPC applications include bridge decks and girders, seismic columns, wind turbine towers, and pile foundations. Especially, a durable and robust RPC pile foundation with long service life is essential in building construction because continuous maintenance is impossible. Moreover, natural in-situ conditions such as water table, temperature, and sulfate concentration in soil to which the pile foundation is exposed are critical and related to deteriorating the pile foundation. …
Upcycling Steel Slag In Producing Eco-Efficient Iron–Calcium Phosphate Cement, Yue Ma, Yunlong Luo, Hongyan Ma, Xintao Zhou, Zhongqiu Luo
Upcycling Steel Slag In Producing Eco-Efficient Iron–Calcium Phosphate Cement, Yue Ma, Yunlong Luo, Hongyan Ma, Xintao Zhou, Zhongqiu Luo
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
In the present study, steel slag powder (SSP) was utilized as the raw material to prepare iron-calcium phosphate cement (ICPC) by reacting with ammonium dihydrogen phosphate (ADP). The influences of the raw materials (SSP/ADP) mass ratios ranging from 2.0 to 7.0 on the properties and microstructures of ICPC pastes were investigated. The compressive strengths of ICPC pastes at all ages firstly increased and then decreased with the increase of SSP/ADP, and the SSP/ADP of 6.0 gave the highest strength. Crystalline mundrabillaite and amorphous phases [i.e. Fe(OH)3, Al(OH)3 and H4SiO4] were formed as the …
Local Structure In High-Entropy Transition Metal Diborides, Mattia Gaboardi, Frederic Monteverde, Federico Saraga, Giuliana Aquilanti, Lun Feng, William Fahrenholtz, Gregory Hilmas
Local Structure In High-Entropy Transition Metal Diborides, Mattia Gaboardi, Frederic Monteverde, Federico Saraga, Giuliana Aquilanti, Lun Feng, William Fahrenholtz, Gregory Hilmas
Materials Science and Engineering Faculty Research & Creative Works
Studies on high-entropy materials often speculate about the effects of lattice distortion and disorder on characteristics such as hardness, thermal expansion, and electronic properties. Notwithstanding the ongoing race to discover new compositions, investigations of the local structure at the atomic level remain sparse at best. Additionally, assessments of the homogeneity of the distribution of metals within the lattice sites are often restricted to techniques such as energy dispersive spectroscopy which might lead to an inaccurate picture of the bulk material. Herein, we report an extensive and systematic study of a class of emerging high-entropy ceramics that uses a combination of …
Origin Of The Second-Order Proton Catalysis Of Ferriin Reduction In Belousov-Zhabotinsky Reactions: Density Functional Studies Of Ferroin And Ferriin Aggregates With Outer Sphere Ligands Sulfate, Bisulfate, And Sulfuric Acid, Sara C. Mccauley, Rainer Glaser
Origin Of The Second-Order Proton Catalysis Of Ferriin Reduction In Belousov-Zhabotinsky Reactions: Density Functional Studies Of Ferroin And Ferriin Aggregates With Outer Sphere Ligands Sulfate, Bisulfate, And Sulfuric Acid, Sara C. Mccauley, Rainer Glaser
Chemistry Faculty Research & Creative Works
The detailed mechanisms of Belousov-Zhabotinsky oscillating reactions continue to present grand challenges, even after half a century of study. The origin of the pH dependence of the oscillation pattern had never been rigorously identified. In our recent kinetic study of one of the key Belousov-Zhabotinsky reactions, the iron-catalyzed bromate oxidation of malonic acid, compelling agreement between experiments and kinetic simulations was achieved only with the inclusion of second-order proton catalysis of the reduction of the [Fe(phen)3]3+ species. After exhausting all other avenues in search of an explanation of this proton catalysis, we considered the possibility that the …
Connecting Phenotype To Genotype: Phewas-Inspired Analysis Of Autism Spectrum Disorder, John Matta, Daniel Dobrino, Dacosta Yeboah, Swade Howard, Yasser El-Manzalawy, Tayo Obafemi-Ajayi
Connecting Phenotype To Genotype: Phewas-Inspired Analysis Of Autism Spectrum Disorder, John Matta, Daniel Dobrino, Dacosta Yeboah, Swade Howard, Yasser El-Manzalawy, Tayo Obafemi-Ajayi
Electrical and Computer Engineering Faculty Research & Creative Works
Autism Spectrum Disorder (ASD) is extremely heterogeneous clinically and genetically. There is a pressing need for a better understanding of the heterogeneity of ASD based on scientifically rigorous approaches centered on systematic evaluation of the clinical and research utility of both phenotype and genotype markers. This paper presents a holistic PheWAS-inspired method to identify meaningful associations between ASD phenotypes and genotypes. We generate two types of phenotype-phenotype (p-p) graphs: a direct graph that utilizes only phenotype data, and an indirect graph that incorporates genotype as well as phenotype data. We introduce a novel methodology for fusing the direct and indirect …
Coherent Enhancement Of Optical Remission In Diffusive Media, Nicholas Bender, Arthur Goetschy, Chia Wei Hsu, Hasan Yılmaz, Pablo Jara Palacios, Alexey Yamilov, Hui Cao
Coherent Enhancement Of Optical Remission In Diffusive Media, Nicholas Bender, Arthur Goetschy, Chia Wei Hsu, Hasan Yılmaz, Pablo Jara Palacios, Alexey Yamilov, Hui Cao
Physics Faculty Research & Creative Works
Remitted waves are used for sensing and imaging in diverse diffusive media from the Earth's crust to the human brain. Separating the source and detector increases the penetration depth of light, but the signal strength decreases rapidly, leading to a poor signal-to-noise ratio. Here, we show, experimentally and numerically, that wavefront shaping a laser beam incident on a diffusive sample enables an enhancement of remission by an order of magnitude at depths of up to 10 transport mean free paths. We develop a theoretical model which predicts the maximal remission enhancement. Our analysis reveals a significant improvement in the sensitivity …
High-Sensitivity Optical Fiber Sensing Based On A Computational And Distributed Vernier Effect, Chen Zhu, Jie Huang
High-Sensitivity Optical Fiber Sensing Based On A Computational And Distributed Vernier Effect, Chen Zhu, Jie Huang
Electrical and Computer Engineering Faculty Research & Creative Works
This article reports a novel concept of computational microwave photonics and distributed Vernier effect for sensitivity enhancement in a distributed optical fiber sensor based on an optical carrier microwave interferometry (OCMI) system. The sensor system includes a Fabry-Perot interferometer (FPI) array formed by cascaded fiber in-line reflectors. Using OCMI interrogation, information on each of the interferometers (i.e., sensing interferometers) can be obtained, from which an array of reference interferometers can be constructed accordingly. By superimposing the interferograms of each sensing interferometer and its corresponding reference interferometer, distributed Vernier effect can be generated, so that the measurement sensitivity of each of …
Prototype Catalytic Membrane Reactor For Dimethyl Ether Synthesis Via Co2hydrogenation, Qiaobei Dong, Weiwei L. Xu, Xiao Fan, Huazheng Li, Naomi Klinghoffer, Travis Pyrzynski, Howard S. Meyer, Xinhua Liang, Miao Yu, Shiguang Li
Prototype Catalytic Membrane Reactor For Dimethyl Ether Synthesis Via Co2hydrogenation, Qiaobei Dong, Weiwei L. Xu, Xiao Fan, Huazheng Li, Naomi Klinghoffer, Travis Pyrzynski, Howard S. Meyer, Xinhua Liang, Miao Yu, Shiguang Li
Chemical and Biochemical Engineering Faculty Research & Creative Works
Dimethyl ether (DME) has become attractive as a potential environmentally friendly substitute for diesel and liquefied petroleum gas (LPG) due to its similar properties to those of LPG, high cetane number, but less carbon emissions. In this work, we developed a novel prototype-scale catalytic membrane reactor to synthesize DME directly from CO2and renewable H2, which could address the environmental and fuel security issues in a cost-effective way. This membrane reactor was equipped with superior hydrophilic NaA zeolite membranes and bifunctional Cu-ZnO-ZrO2-Al2O3/HZSM-5 catalysts. The effects of the reaction temperature and gas …
Sustaining Patient Portal Continuous Use Intention And Enhancing Deep Structure Usage: Cognitive Dissonance Effects Of Health Professional Encouragement And Security Concerns, Murad Moqbel, Barbara Hewitt, Fiona Fui-Hoon Nah, Rosann M. Mclean
Sustaining Patient Portal Continuous Use Intention And Enhancing Deep Structure Usage: Cognitive Dissonance Effects Of Health Professional Encouragement And Security Concerns, Murad Moqbel, Barbara Hewitt, Fiona Fui-Hoon Nah, Rosann M. Mclean
Business and Information Technology Faculty Research & Creative Works
Sustaining patient portal use is a major problem for many healthcare organizations and providers. If this problem can be successfully addressed, it could have a positive impact on various stakeholders. Through the lens of cognitive dissonance theory, this study investigates the role of health professional encouragement as well as patients' security concerns in influencing continuous use intention and deep structure usage among users of a patient portal. The analysis of data collected from 177 patients at a major medical center in the Midwestern region of the United States shows that health professional encouragement helps increase the continuous use intention and …