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Localization Of Gamma-Ray Bursts In A Balloon-Borne Telescope, Ye Htet, Marion Sudvarg, Jeremy Buhler, Roger Chamberlain, James Buckley
Localization Of Gamma-Ray Bursts In A Balloon-Borne Telescope, Ye Htet, Marion Sudvarg, Jeremy Buhler, Roger Chamberlain, James Buckley
Computer Science Faculty Research & Creative Works
Multi-messenger astrophysics combines observations from multiple instruments to study transient astrophysical phenomena, many occurring at seconds-level timescales. To identify and precisely localize these events in the sky, current systems often search through extensive sensor data, requiring resource-intensive computation to achieve results on the timescale of the events themselves. We seek to reduce computational requirements so as to perform real-time event localization with limited computational resources suitable for an orbital platform. This work studies the performance of a computational pipeline for real-time gamma-ray burst (GRB) detection and localization aboard the Antarctic Demonstrator for the Advanced Particle-astro-physics Telescope (ADAPT), a balloon-borne prototype …
Ab Initio Quantum Scattering Calculations And A New Potential Energy Surface For The Hcl(X¹Σ+)-O2( X 3 Σ G − ) System: Collision-Induced Line Shape Parameters For O2-Perturbed R(0) 0-0 Line In H35cl, Artur Olejnik, Hubert Jóźwiak, Maciej Gancewski, Ernesto Quintas-Sánchez, Richard Dawes, Piotr Wcisło
Ab Initio Quantum Scattering Calculations And A New Potential Energy Surface For The Hcl(X¹Σ+)-O2( X 3 Σ G − ) System: Collision-Induced Line Shape Parameters For O2-Perturbed R(0) 0-0 Line In H35cl, Artur Olejnik, Hubert Jóźwiak, Maciej Gancewski, Ernesto Quintas-Sánchez, Richard Dawes, Piotr Wcisło
Chemistry Faculty Research & Creative Works
The Remote Sensing of Abundance and Properties of HCl—the Main Atmospheric Reservoir of Cl Atoms that Directly Participate in Ozone Depletion—is Important for Monitoring the Partitioning of Chlorine between "Ozone-Depleting" and "Reservoir" Species. Such Remote Studies Require Knowledge of the Shapes of Molecular Resonances of HCl, Which Are Perturbed by Collisions with the Molecules of the Surrounding Air. in This Work, We Report the First Fully Quantum Calculations of Collisional Perturbations of the Shape of a Pure Rotational Line in H35Cl Perturbed by an Air-Relevant Molecule [As the First Model System We Choose the R(0) Line in HCl Perturbed by …
System Dynamic Modeling To Study The Impact Of Construction Industry Characteristics And Associated Macroeconomic Indicators On Workforce Size And Labor Retention Rate, Tamima Elbashbishy, Islam H. El-Adaway
System Dynamic Modeling To Study The Impact Of Construction Industry Characteristics And Associated Macroeconomic Indicators On Workforce Size And Labor Retention Rate, Tamima Elbashbishy, Islam H. El-Adaway
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Limited skilled labor has been one of the greatest challenges facing the construction industry. The COVID-19 pandemic has further exaggerated the already strained construction labor market, leading to an additional negative impact. One of the major contributors to skilled labor shortages in construction is the issue of labor retention. Overall, this is a complex and dynamic situation that requires effective and efficient simulation-based techniques to capture the interdependent relationships that affect the performance of the construction labor market. This paper fills this knowledge gap. To this end, the authors used a multistep research methodology that involved (1) identifying factors that …
On The Prediction Of The Mechanical Properties Of Limestone Calcined Clay Cement: A Random Forest Approach Tailored To Cement Chemistry, Taihao Han, Bryan K. Aylas-Paredes, Jie Huang, Ashutosh Goel, Narayanan Neithalath, Aditya Kumar
On The Prediction Of The Mechanical Properties Of Limestone Calcined Clay Cement: A Random Forest Approach Tailored To Cement Chemistry, Taihao Han, Bryan K. Aylas-Paredes, Jie Huang, Ashutosh Goel, Narayanan Neithalath, Aditya Kumar
Materials Science and Engineering Faculty Research & Creative Works
Limestone calcined clay cement (LC3) is a sustainable alternative to ordinary Portland cement, capable of reducing the binder's carbon footprint by 40% while satisfying all key performance metrics. The inherent compositional heterogeneity in select components of LC3, combined with their convoluted chemical interactions, poses challenges to conventional analytical models when predicting mechanical properties. Although some studies have employed machine learning (ML) to predict the mechanical properties of LC3, many have overlooked the pivotal role of feature selection. Proper feature selection not only refines and simplifies the structure of ML models but also enhances these models' prediction performance and interpretability. This …
Catching Elusive Depression Via Facial Micro-Expression Recognition, Xiaohui Chen, Tony Tie (T.) Luo
Catching Elusive Depression Via Facial Micro-Expression Recognition, Xiaohui Chen, Tony Tie (T.) Luo
Computer Science Faculty Research & Creative Works
Depression is a common mental health disorder that can cause consequential symptoms with continuously depressed mood that leads to emotional distress. One category of depression is Concealed Depression, where patients intentionally or unintentionally hide their genuine emotions through exterior optimism, thereby complicating and delaying diagnosis and treatment and leading to unexpected suicides. In this article, we propose to diagnose concealed depression by using facial micro-expressions (FMEs) to detect and recognize underlying true emotions. However, the extremely low intensity and subtle nature of FMEs make their recognition a tough task. We propose a facial landmark-based Region-of-Interest (ROI) approach to address the …
The Big Cheese ‘Important Person’, Gerald Leonard Cohen
The Big Cheese ‘Important Person’, Gerald Leonard Cohen
Arts, Languages and Philosophy Faculty Research & Creative Works
No abstract provided.
Modulation Of Electrocatalytic Activity By Tuning Anion Electronegativity: Case Study With Copper Chalcogenides, Harish Singh, David Prendergast, Manashi Nath
Modulation Of Electrocatalytic Activity By Tuning Anion Electronegativity: Case Study With Copper Chalcogenides, Harish Singh, David Prendergast, Manashi Nath
Chemistry Faculty Research & Creative Works
Anion-tuning in metallic chalcogenides has been shown to have a significant impact on their electrocatalytic ability for overall water splitting. In this article, copper-based chalcogenides (Cu2 X, X= O, S, Se, and Te) have been systematically studied to examine the effect of decreasing anion electronegativity and increasing covalency on the electrocatalytic performance. Among the copper chalcogenides, Cu2Te has the highest oxygen evolution reaction (OER) activity and can sustain high current density of 10 and 50 mA cm−2 for 12 h. The difference in intrinsic catalytic activity of these chalcogenide surfaces have been also probed through density functional theory calculations, which …
Robotic Inspection Of Infrastructure Using Vision, Gpr, And Impact-Echo Sensors, Jizhong Xiao
Robotic Inspection Of Infrastructure Using Vision, Gpr, And Impact-Echo Sensors, Jizhong Xiao
INSPIRE Archived Webinars
Bridges, dams, highways, and tunnels in the U.S. are reaching their life expectancy, and thus have imperative needs for routine inspection and maintenance to ensure sustainability. It is reported that 42% of over 600,000 highway bridges in the National Bridge Inventory (NBI) have exceeded their design life of 50 years, and 42,951 bridges are rated in poor condition and classified as "structurally deficient". To inspect the structurally integrity of bridges, the inspectors also need to detect subsurface defects (i.e., delamination, voids) using NDE instruments such as GPR and impact-echo (IE) device at difficult to access components (i.e., pier, bottom side …
Ambient Processed Rgo/Ti3cntx Mxene Thin Film With High Oxidation Stability, Photosensitivity, And Self-Cleaning Potential, Muhammad Abiyyu Kenichi Purbayanto, Dominika Bury, Madhurya Chandel, Zhila Dehghan Shahrak, Vadym Mochalin, Anna Wójcik, Dorota Moszczyńska, Anita Wojciechowska, Anika Tabassum, Michael Naguib, Agnieszka Maria Jastrzębska
Ambient Processed Rgo/Ti3cntx Mxene Thin Film With High Oxidation Stability, Photosensitivity, And Self-Cleaning Potential, Muhammad Abiyyu Kenichi Purbayanto, Dominika Bury, Madhurya Chandel, Zhila Dehghan Shahrak, Vadym Mochalin, Anna Wójcik, Dorota Moszczyńska, Anita Wojciechowska, Anika Tabassum, Michael Naguib, Agnieszka Maria Jastrzębska
Chemistry Faculty Research & Creative Works
Solution-Based Processing Offers Advantages for Producing Thin Films Due to Scalability, Low Cost, Simplicity, and Benignity to the Environment. Here, We Develop Conductive and Photoactivated Self-Cleaning Reduced Graphene Oxide (RGO)/Ti3CNTx MXene Thin Films Via Spin Coating under Ambient Conditions. the Addition of a Thin RGO Layer on Top of Ti3CNTx Resulted in Up to 45-Fold Improvement in the Environmental Stability of the Film Compared to the Bare Ti3CNTx Film. the Optimized RGO/Ti3CNTx Thin Film Exhibits an Optical Transmittance of 74% in the Visible Region of the Spectrum and …
3d Cfd Simulation Of A Bubble Column With Internals: Validation Of Interfacial Forces And Internal Effects For Local Gas Holdup Predictions, Hayder Al-Naseri, J. P. Schlegel, Muthanna H. Al-Dahhan
3d Cfd Simulation Of A Bubble Column With Internals: Validation Of Interfacial Forces And Internal Effects For Local Gas Holdup Predictions, Hayder Al-Naseri, J. P. Schlegel, Muthanna H. Al-Dahhan
Nuclear Engineering and Radiation Science Faculty Research & Creative Works
CFD models (turbulent models and interfacial forces) incorporated with the population balance model (PBM) have been validated, azimuthally, with the gamma-ray-computed tomography (CT) results to address the effect of the presence of internals with different arrangements and diameters. the superficial gas velocity applied was varied from 0.05 to 0.45 m/s. the results exhibit the capability to predict the hydrodynamics of the bubble column, further incorporating the population balance model and promoting the prediction of simulation in high superficial gas velocity. the effect of internals revealed that the gas holdup was significantly enhanced in the bubble column's wall region, while the …
Deepening Undergraduate Students’ Thinking About Central Dogma Through Problem-Based Learning, Katherine Alberta Sharp, Rebecca Mc Nall Krall, Jeffrey Chalfant
Deepening Undergraduate Students’ Thinking About Central Dogma Through Problem-Based Learning, Katherine Alberta Sharp, Rebecca Mc Nall Krall, Jeffrey Chalfant
Teacher Education and Certification Faculty Research & Creative Works
A Common Belief among Pre-Medical and Medical Students is that Biochemistry is Not Relevant to Practicing Medicine. the Problem-Based Approach of Case Studies Has Been Used in Medical Education to Scaffold the Application of Content to Clinical Cases, But Few Studies Report on a Similar Use in Undergraduate Biochemistry. Case Studies in Biochemistry and Related Disciplines Have Been Previously Reported as Increasing Learning Motivation and Supporting Depth of Knowledge. Additionally, Students Engaging in Case Studies Outperform Students in Traditional Instruction. the Objective of This Qualitative Case Study Was to Find How the Timing of a Medical Case Study within the …
Deepening Undergraduate Students’ Thinking About Central Dogma Through Problem-Based Learning, Katherine Alberta Sharp, Rebecca Mc Nall Krall, Jeffrey Chalfant
Deepening Undergraduate Students’ Thinking About Central Dogma Through Problem-Based Learning, Katherine Alberta Sharp, Rebecca Mc Nall Krall, Jeffrey Chalfant
Teacher Education and Certification Faculty Research & Creative Works
A common belief among pre-medical and medical students is that biochemistry is not relevant to practicing medicine. The problem-based approach of case studies has been used in medical education to scaffold the application of content to clinical cases, but few studies report on a similar use in undergraduate biochemistry. Case studies in biochemistry and related disciplines have been previously reported as increasing learning motivation and supporting depth of knowledge. Additionally, students engaging in case studies outperform students in traditional instruction. The objective of this qualitative case study was to find how the timing of a medical case study within the …
Interactions And Dynamics Of One-Dimensional Droplets, Bubbles And Kinks, Garyfallia Katsimiga, Simeon I. Mistakidis, Boris A. Malomed, Dimitris J. Frantzeskakis, Ricardo Carretero-Gonzalez, Panayotis G. Kevrekidis
Interactions And Dynamics Of One-Dimensional Droplets, Bubbles And Kinks, Garyfallia Katsimiga, Simeon I. Mistakidis, Boris A. Malomed, Dimitris J. Frantzeskakis, Ricardo Carretero-Gonzalez, Panayotis G. Kevrekidis
Physics Faculty Research & Creative Works
We Explore The Dynamics And Interactions Of Multiple Bright Droplets And Bubbles, As Well As The Interactions Of Kinks With Droplets And With Antikinks, In The Extended One-Dimensional Gross–Pitaevskii Model Including The Lee–Huang–Yang Correction. Existence Regions Are Identified For The One-Dimensional Droplets And Bubbles In Terms Of Their Chemical Potential, Verifying The Stability Of The Droplets And Exposing The Instability Of The Bubbles. The Limiting Case Of The Droplet Family Is A Stable Kink. The Interactions Between Droplets Demonstrate In-Phase (Out-Of-Phase) Attraction (Repulsion), With The So-Called Manton's Method Explicating The Observed Dynamical Response, And Mixed Behavior For Intermediate Values Of …
Unraveling Hydrogen Atom Transfer Mechanisms With Voltammetry: Oxidative Formation And Reactivity Of Cobalt Hydride, Dylan G. Boucher, Andrew D. Pendergast, Xiangyu Wu, Zachary A. Nguyen, Rohit G. Jadhav, Song Lin, Henry S. White, Shelley D. Minteer
Unraveling Hydrogen Atom Transfer Mechanisms With Voltammetry: Oxidative Formation And Reactivity Of Cobalt Hydride, Dylan G. Boucher, Andrew D. Pendergast, Xiangyu Wu, Zachary A. Nguyen, Rohit G. Jadhav, Song Lin, Henry S. White, Shelley D. Minteer
Chemistry Faculty Research & Creative Works
The utility of transition metal hydride catalyzed hydrogen atom transfer (MHAT) has been widely demonstrated in organic transformations such as alkene isomerization and hydro functionalization reactions. However, the highly reactive nature of the hydride and radical intermediates has hindered mechanistic insight into this pivotal reaction. Recent advances in electrochemical MHAT have opened up the possibility for new analytical approaches for mechanistic diagnosis. Here, we report a voltametric interrogation of Co-Based MHAT reactivity, describing in detail the oxidative formation and reactivity of the key Co-H intermediate and its reaction with aryl alkenes. Insights from cyclic voltammetry and finite element simulations help …
Stochastic Modeling Of Physical Drag Coefficient – Its Impact On Orbit Prediction And Space Traffic Management, Smriti Nandan Paul, Phillip Logan Sheridan, Richard J. Licata, Piyush M. Mehta
Stochastic Modeling Of Physical Drag Coefficient – Its Impact On Orbit Prediction And Space Traffic Management, Smriti Nandan Paul, Phillip Logan Sheridan, Richard J. Licata, Piyush M. Mehta
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Ambitious satellite constellation projects by commercial entities and the ease of access to space in recent times have led to a dramatic proliferation of low-Earth space traffic. It jeopardizes space safety and long-term sustainability, necessitating better space domain awareness (SDA). Correct modeling of uncertainties in force models and orbital states, among other things, is an essential part of SDA. For objects in the low-Earth orbit (LEO) region, the uncertainty in the orbital dynamics mainly emanate from limited knowledge of the atmospheric drag-related parameters and variables. In this paper, which extends the work by Paul et al. (2021), we develop a …
Enhancing The Performance Of Microbial Fuel Cells Via Metabolic Engineering Of Escherichia Coli For Phenazine Production, Olja Simoska, Dale A. Cummings, Erin M. Gaffney, Claire Langue, Tommy G. Primo, Courtney J. Weber, Corbin E. Witt, Shelley D. Minteer
Enhancing The Performance Of Microbial Fuel Cells Via Metabolic Engineering Of Escherichia Coli For Phenazine Production, Olja Simoska, Dale A. Cummings, Erin M. Gaffney, Claire Langue, Tommy G. Primo, Courtney J. Weber, Corbin E. Witt, Shelley D. Minteer
Chemistry Faculty Research & Creative Works
One of the central roles in the design, development, and application advances in mediator-Based microbial electrochemical systems, such as microbial fuel cells (MFCs), is the establishment of efficient and successful communication between conductive electrode surfaces and microorganisms via modes of extracellular electron transfer (EET). Most microbial-Based systems require the use of artificial electroactive mediators in order to facilitate and/or enhance electron transfer. Our previous work established an exogenous phenazine-Based library as a mediator system to enable EET from the model microorganism Escherichia coli as a promising biotechnological host. However, the addition of exogenous mediators to a microbial electrochemical system has …
Distinct Modes Of Aged Soil Carbon Export In A Large Tropical Lake Basin Identified Using Bulk And Compound-Specific Radiocarbon Analyses Of Fluvial And Lacustrine Sediment, Wesley G. Parker, Jason M.E. Ahad, Jonathan Obrist-Farner, Benjamin Keenan, Peter M.J. Douglas
Distinct Modes Of Aged Soil Carbon Export In A Large Tropical Lake Basin Identified Using Bulk And Compound-Specific Radiocarbon Analyses Of Fluvial And Lacustrine Sediment, Wesley G. Parker, Jason M.E. Ahad, Jonathan Obrist-Farner, Benjamin Keenan, Peter M.J. Douglas
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
The 14C content of sedimentary organic matter (OM) and specific organic molecules provide valuable information on the source and age of OM stored in sediments, but these data are limited for tropical fluvial and lake sediments. We analyzed 14C in bulk OM, palmitic acid (C16), and long-chain n-alkanoic acids (C24, C26, and C28), within fluvial and lake sediments in the catchment of Lake Izabal, a large tectonic lake basin in Guatemala. We combined these measurements with bulk and compound-specific δ13C measurements, as well as sediment organic carbon to nitrogen (OC:N) ratios, to understand the source and age of sedimentary OM …
Quantum Electrodynamic Corrections To Cyclotron States In A Penning Trap, Ulrich D. Jentschura, Christopher Moore
Quantum Electrodynamic Corrections To Cyclotron States In A Penning Trap, Ulrich D. Jentschura, Christopher Moore
Physics Faculty Research & Creative Works
We analyze the leading and higher-order quantum electrodynamic corrections to the energy levels for a single electron bound in a Penning trap, including the Bethe logarithm correction due to virtual excitations of the reference quantum cyclotron state. The effective coupling parameter αc in the Penning trap is identified as the square root of the ratio of the cyclotron frequency, converted to an energy via multiplication by the Planck constant, to the electron rest mass energy. We find a large, state-independent, logarithmic one-loop self-energy correction of order α αc4mc2ln(αc-2), where m is the …
A Direct Data Approach To Joint 2-D Doa And Frequency Estimation With L-Shaped Array, Yanming Zhang, Lijun Jiang
A Direct Data Approach To Joint 2-D Doa And Frequency Estimation With L-Shaped Array, Yanming Zhang, Lijun Jiang
Electrical and Computer Engineering Faculty Research & Creative Works
This article presents a joint two-dimensional dynamic mode decomposition (JTDDMD) approach to estimate the azimuth angle, elevation angle, and frequency for multiple narrowband sources using the L-shaped array. According to the placement position of different coordinate axes of the receiving antenna in the array, i.e., x- or z-axis, the received signal is divided into two datasets. Two-dimensional dynamic mode decomposition (TDDMD), the sub algorithm of JTDDMD, is used twice to deal with these two datasets separately. Through the analysis of the x-axis subarray received signal using TDDMD, the electrical angle in the x-direction and frequency are obtained with automatic pairing. …
Genesis Of The 1.45 Ga Kratz Spring Iron Oxide-Apatite Deposit Complex In Southeast Missouri, Usa: Constraints From Oxide Mineral Chemistry, Brandon Sullivan, Marek Locmelis, Bolorchimeg N. Tunnell, Cheryl M. Seeger, Marilena Moroni, Sarah Dare, Ryan Mathur, Thomas Schott
Genesis Of The 1.45 Ga Kratz Spring Iron Oxide-Apatite Deposit Complex In Southeast Missouri, Usa: Constraints From Oxide Mineral Chemistry, Brandon Sullivan, Marek Locmelis, Bolorchimeg N. Tunnell, Cheryl M. Seeger, Marilena Moroni, Sarah Dare, Ryan Mathur, Thomas Schott
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
Seven major and numerous lesser Fe oxide occurrences within the 1.47 Ga St. Francois Mountains terrane in Missouri (USA) have previously been described as iron oxide-apatite (IOA) and iron oxide-copper-gold (IOCG) deposits. Researchers speculate that these contain significant amounts of critical minerals, most notably rare earth elements and cobalt. One of the less-studied deposits in the region is the 1.455 Ga Kratz Spring deposit. The deposit consists of two steeply dipping magnetite bodies beneath 450 m of sedimentary cover. The genesis of the Kratz Spring deposit and its relationship to nearby IOA-IOCG deposits remains poorly constrained. To better understand the …
Best Practices To Promote Field Science Safety, Kristen Yarincik, Anne Kelly, Terry Mcglynn, Robin M. Verble
Best Practices To Promote Field Science Safety, Kristen Yarincik, Anne Kelly, Terry Mcglynn, Robin M. Verble
Biological Sciences Faculty Research & Creative Works
Interventions are necessary to address the ongoing epidemic of sexual harassment and assault in field settings. An evidence-based approach to identifying specific interventions will be most effective at promoting the safety of scientists. We present the results of a workshop conducted by experts in field biology and the study of sexual harassment and assault that identified a comprehensive set of best practices for individuals and organizations. These recommendations are grounded in peer-reviewed scholarship and are separated into four topics: culture change, accountability, policy development, and reporting. The resulting report of the workshop recommends 44 practices, categorized by the resources required …
Understanding Formation And Roles Of Niᴵᴵ Aryl Amido And Niiii Aryl Amido Intermediates In Ni-Catalyzed Electrochemical Aryl Amination Reactions, Jian Luo, Michael T. Davenport, Chad Callister, Shelley D. Minteer, Daniel H. Ess, T. Leo Liu
Understanding Formation And Roles Of Niᴵᴵ Aryl Amido And Niiii Aryl Amido Intermediates In Ni-Catalyzed Electrochemical Aryl Amination Reactions, Jian Luo, Michael T. Davenport, Chad Callister, Shelley D. Minteer, Daniel H. Ess, T. Leo Liu
Chemistry Faculty Research & Creative Works
Ni-catalyzed electrochemical aryl amination (e-amination) is an attractive, emerging approach to building C-N bonds. Here, we report in-depth experimental and computational studies that examined the mechanism of Ni-catalyzed e-amination reactions. Key NiII-amine dibromide and NiII aryl amido intermediates were chemically synthesized and characterized. the combination of experiments and DFT calculations suggest (1) there is coordination of an amine to the NiII catalyst before the cathodic reduction and oxidative addition steps, (2) a stable NiII aryl amido intermediate is produced from the cathodic half-reaction, a critical step in controlling the selectivity between cross-coupling and undesired homo-coupling reaction pathways, (3) the diazabicycloundecene …
A Natural Organic Artificial Synaptic Device Made From A Honey And Carbon Nanotube Admixture For Neuromorphic Computing, Md Mehedi Hasan Tanim, Zoe Templin, Kaleb Hood, Jun Jiao, Feng Zhao
A Natural Organic Artificial Synaptic Device Made From A Honey And Carbon Nanotube Admixture For Neuromorphic Computing, Md Mehedi Hasan Tanim, Zoe Templin, Kaleb Hood, Jun Jiao, Feng Zhao
Electrical and Computer Engineering Faculty Research & Creative Works
Artificial synaptic devices are the essential hardware component in emerging neuromorphic computing systems by mimicking biological synapse and brain functions. When made from natural organic materials such as protein and carbohydrate, they have potential to improve sustainability and reduce electronic waste by enabling environmentally friendly disposal. In this paper, a new natural organic memristor based artificial synaptic device is reported with the memristive film processed by a honey and carbon nanotube (CNT) admixture, that is, honey-CNT memristor. Optical microscopy, scanning electron microscopy, and micro-Raman spectroscopy are employed to analyze the morphology and chemical structure of the honey-CNT film. The device …
Neuro-Symbolic Representations For Information Retrieval, Laura Dietz, Hannah Bast, Shubham Chatterjee, Jeff Dalton, Jian Yun Nie, Rodrigo Nogueira
Neuro-Symbolic Representations For Information Retrieval, Laura Dietz, Hannah Bast, Shubham Chatterjee, Jeff Dalton, Jian Yun Nie, Rodrigo Nogueira
Computer Science Faculty Research & Creative Works
This tutorial will provide an overview of recent advances on neuro-symbolic approaches for information retrieval. A decade ago, knowledge graphs and semantic annotations technology led to active research on how to best leverage symbolic knowledge. At the same time, neural methods have demonstrated to be versatile and highly effective. From a neural network perspective, the same representation approach can service document ranking or knowledge graph reasoning. End-to-end training allows to optimize complex methods for downstream tasks. We are at the point where both the symbolic and the neural research advances are coalescing into neuro-symbolic approaches. The underlying research questions are …
Algebraic Approach To Relativistic Landau Levels In The Symmetric Gauge, Ulrich D. Jentschura
Algebraic Approach To Relativistic Landau Levels In The Symmetric Gauge, Ulrich D. Jentschura
Physics Faculty Research & Creative Works
We use an algebraic approach to the calculation of Landau levels for a uniform magnetic field in the symmetric gauge with a vector potential A→=12(B→xr→), where B→ is assumed to be constant. The magnetron quantum number constitutes the degeneracy index. An overall complex phase of the wave function, given in terms of Laguerre polynomials, is a consequence of the algebraic structure. The relativistic generalization of the treatment leads to fully relativistic bispinor Landau levels in the symmetric gauge, in a representation which writes the relativistic states in terms of their nonrelativistic limit, and an algebraically accessible lower bispinor component. Negative-energy …
New Methodology For Benchmarking Hydrodynamics In Bubble Columns With Intense Internals Using The Radioactive Particle Tracking (Rpt) Technique, Omar J. Farid, Alexandre França Velo, Binbin Qi, Muthanna H. Al-Dahhan
New Methodology For Benchmarking Hydrodynamics In Bubble Columns With Intense Internals Using The Radioactive Particle Tracking (Rpt) Technique, Omar J. Farid, Alexandre França Velo, Binbin Qi, Muthanna H. Al-Dahhan
Chemical and Biochemical Engineering Faculty Research & Creative Works
A new methodology for implementing radioactive particle tracking (RPT) in bubble columns with intense vertical rod internals was developed and implemented to investigate the effect of dense internals on hydrodynamics. The methodology utilizes a hybrid of Monte Carlo N-Particle (MCNP) simulation and an automated RPT calibration device to generate a large number of calibration points for accurate reconstruction of the instantaneous positions of radioactive particles using a similarity algorithm. Measurements were conducted in a 6-inch (15.24 cm) Plexiglas column using an air–water system at a superficial gas velocity of 40 cm/s. Vertical Plexiglas rods 0.5 in (1.27 cm) in diameter …
A Non-Line-Of-Sight Mitigation Method For Indoor Ultra-Wideband Localization With Multiple Walls, Mengyao Dong, Yihong Qi, Xianbin Wang, Yiming Liu
A Non-Line-Of-Sight Mitigation Method For Indoor Ultra-Wideband Localization With Multiple Walls, Mengyao Dong, Yihong Qi, Xianbin Wang, Yiming Liu
Electrical and Computer Engineering Faculty Research & Creative Works
Ultra-wideband (UWB) ranging techniques can provide accurate distance measurement under line-of-sight (LOS) conditions. However, various walls and obstacles in indoor non-LOS (NLOS) environments, which obstruct the direct propagation of UWB signals, can generate significant ranging errors. Due to the complex through-wall UWB signal propagation, most conventional studies simplify the ranging error model by assuming that the incidence angle is zero or the relative permittivity's for different walls are the same to improve the through-wall UWB localization performance. Considering walls are different in realistic settings, this article presents a through-multiple-wall NLOS mitigation method for UWB indoor positioning. First, spatial geometric equilibrium …
Final Report - Hyperspectral Imaging Analysis For Mechanical And Chemical Properties Of Concrete And Steel Surfaces, Genda Chen, Hongyan Ma, Pengfei Ma, Liang Fan, Abdullah Alhaj
Final Report - Hyperspectral Imaging Analysis For Mechanical And Chemical Properties Of Concrete And Steel Surfaces, Genda Chen, Hongyan Ma, Pengfei Ma, Liang Fan, Abdullah Alhaj
Project SN-5
This project aims to develop a hyperspectral imaging approach for characterizing the mechanical and chemical properties of concrete and steel surfaces. A dual-sensor camera is used to collect images for mortar classification, mortar compressive strength assessment, Cl- concentration determination, and steel rebar and plate corrosion evaluation. Each pixel in an image includes spectral features ranging from 400 nm to 2500 nm in wavelength. For mortar samples, reflectance intensities at a wavelength of 1920 nm to 1980 nm, associated with the O-H chemical bond, were extracted and averaged to classify the types of mortars with K-Nearest Neighbors (KNN) and Support Vector …
Prediction Of Terephthalic Acid Yield In Aqueous Hydrolysis Of Polyethylene Terephthalate, Hossein Abedsoltan, Zeinab Zoghi, Amir H. Mohammadi
Prediction Of Terephthalic Acid Yield In Aqueous Hydrolysis Of Polyethylene Terephthalate, Hossein Abedsoltan, Zeinab Zoghi, Amir H. Mohammadi
Chemical and Biochemical Engineering Faculty Research & Creative Works
Aqueous hydrolysis is used to chemically recycle polyethylene terephthalate (PET) due to production of high-quality terephthalic acid (TPA), the PET monomer. PET hydrolysis depends on various factors including PET size, catalyst concentration, and reaction temperature. So, modeling PET hydrolysis by considering the effective factors can provide useful information for material researchers to specify how to design and run these reactions. It will save time, energy, and materials by optimizing the hydrolysis conditions. Machine learning algorithms enable to design models to predict the output results. For the first time, 381 experimental data were gathered to model aqueous hydrolysis of PET. Effective …
Unlocking Road Stability: Machine Learning-Powered Prediction Of Bitumen Distortion Under Traffic Flow Influence, Sabahudin Vrtagic, Milan Dordevic, Fatih Dogan, Muhammed Codur, Mario Hoxha, Edis Softic
Unlocking Road Stability: Machine Learning-Powered Prediction Of Bitumen Distortion Under Traffic Flow Influence, Sabahudin Vrtagic, Milan Dordevic, Fatih Dogan, Muhammed Codur, Mario Hoxha, Edis Softic
Materials Science and Engineering Faculty Research & Creative Works
Road intersections are made of asphalt pavement, a popular road surface material used worldwide. The pavement may suffer deformities and deterioration, resulting in higher maintenance expenses and an elevated likelihood of road accidents, due to factors such as heavy vehicles and environmental variables like temperature and rainfall. To tackle these obstacles, researchers have devised several machine-learning algorithms and optimization techniques. These tools aim to forecast and scrutinize pavement deformation, with the goal of refining pavement design and maintenance approaches, as well as obtaining a more comprehensive comprehension of the factors that impact pavement effectiveness. This paper shows that heavy vehicles …