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Articles 1441 - 1470 of 32988
Full-Text Articles in Entire DC Network
Fpga-Based Sensors For Distributed Digital Manufacturing Systems: A State-Of-The-Art Review, Laraib Khan, Sriram Praneeth Isanaka, Frank Liou
Fpga-Based Sensors For Distributed Digital Manufacturing Systems: A State-Of-The-Art Review, Laraib Khan, Sriram Praneeth Isanaka, Frank Liou
Mechanical and Aerospace Engineering Faculty Research & Creative Works
The combination of distributed digital factories (D2Fs) with sustainable practices has been proposed as a revolutionary technique in modern manufacturing. This review paper explores the convergence of D2F with innovative sensor technology, concentrating on the role of Field Programmable Gate Arrays (FPGAs) in promoting this paradigm. A D2F is defined as an integrated framework where digital twins (DTs), sensors, laser additive manufacturing (laser-AM), and subtractive manufacturing (SM) work in synchronization. Here, DTs serve as a virtual replica of physical machines, allowing accurate monitoring and control of a given manufacturing process. These DTs are supplemented by sensors, providing near-real-time data to …
Reference Dependence In Queue Design And Pricing Strategies, Jian Liu, Yongpin Zhou, Jian Chen, Peng Li
Reference Dependence In Queue Design And Pricing Strategies, Jian Liu, Yongpin Zhou, Jian Chen, Peng Li
Electrical and Computer Engineering Faculty Research & Creative Works
This research investigates the effect of reference dependence on waiting times in service systems which formerly used a first-in-first-out (FIFO) service but have introduced a priority line with a fee. Our model combines reference-dependent gain-loss utility with standard customer utility, and we posit that customers are pleased with shorter-than-expected waiting times, whereas longer-than-expected times lead to dissatisfaction and an increased likelihood of balking. The study explores two scenarios: a captive customer system (CCS) and a noncaptive customer system (NCCS), with a focus on optimal pricing and segmentation strategies for revenue and social welfare maximization. The results reveal that, in a …
Multiphoton-Dressed Rydberg Excitations In A Microwave Cavity With Ultracold Rb Atoms, J. D.Massayuki Kondo, Seth T. Rittenhouse, Daniel Varela Magalhaes, Vasil Rokaj, S. I. Mistakidis, H. R. Sadeghpour, Luis Gustavo Marcassa
Multiphoton-Dressed Rydberg Excitations In A Microwave Cavity With Ultracold Rb Atoms, J. D.Massayuki Kondo, Seth T. Rittenhouse, Daniel Varela Magalhaes, Vasil Rokaj, S. I. Mistakidis, H. R. Sadeghpour, Luis Gustavo Marcassa
Physics Faculty Research & Creative Works
We investigate magneto-optical trap-loss spectroscopy of Rydberg excited Rb85 (66≤n≤68S1/2) atoms, placed inside a tailored microwave cavity. The cavity frequency at 13.053 GHz is in resonance with the 67S1/2→66P3/2 transition, inducing a ladder multiphoton microwave Rydberg absorption and emission. The observed spectra are modeled with an extended Jaynes-Cummings formalism that accounts for nonlinear multiphoton absorption from and emission into the cavity, the loss from the trap due to Rydberg excitation, and cavity imperfection. We calculate the average photons in each spectral feature and find evidence for fractional photon emission into the cavity modes within the loss spectra. The microwave cavity …
Observation Of Dense Collisional Soliton Complexes In A Two-Component Bose-Einstein Condensate, Sean M. Mossman, Garyfallia C. Katsimiga, Simeon I. Mistakidis, Alejandro Romero-Ros, Thomas M. Bersano, Peter Schmelcher, Panayotis G. Kevrekidis, Peter Engels
Observation Of Dense Collisional Soliton Complexes In A Two-Component Bose-Einstein Condensate, Sean M. Mossman, Garyfallia C. Katsimiga, Simeon I. Mistakidis, Alejandro Romero-Ros, Thomas M. Bersano, Peter Schmelcher, Panayotis G. Kevrekidis, Peter Engels
Physics Faculty Research & Creative Works
Solitons Are Nonlinear Solitary Waves Which Maintain their Shape over Time and through Collisions, Occurring in a Variety of Nonlinear Media from Plasmas to Optics. We Present an Experimental and Theoretical Study of Hydrodynamic Phenomena in a Two-Component Atomic Bose-Einstein Condensate Where a Soliton Array Emerges from the Imprinting of a Periodic Spin Pattern by a Microwave Pulse-Based Winding Technique. We Observe the Ensuing Dynamics Which Include Shape Deformations, the Emergence of Dark-Antidark Solitons, Apparent Spatial Frequency Tripling, and Decay and Revival of Contrast Related to Soliton Collisions. for the Densest Arrays, We Obtain Soliton Complexes Where Solitons Undergo Continued …
Dual Nature Of Magnetism Driven By Momentum Dependent F-D Kondo Hybridization, Byungkyun Kang, Yongbin Lee, Liqin Ke, Hyunsoo Kim, Myoung Hwan Kim, Chul Hong Park
Dual Nature Of Magnetism Driven By Momentum Dependent F-D Kondo Hybridization, Byungkyun Kang, Yongbin Lee, Liqin Ke, Hyunsoo Kim, Myoung Hwan Kim, Chul Hong Park
Physics Faculty Research & Creative Works
The intricate nature of magnetism in uranium-based Kondo lattices is a consequence of correlations between U-5f and conduction electrons. Previously, the source of magnetism has been ascribed to either Mott physics or Ruderman-Kittel-Kasuya-Yosida interaction, both of which are not fully applicable to uranium-based Kondo lattices. Using linearized quasiparticle self-consistent GW plus dynamical mean-field theory, we demonstrate a crossover from incoherent to coherent f-d Kondo cloud in the paramagnetic phase of UTe2, USbTe and USbSe. As the transition occurs, we observe an augmented f-d coherence and Pauli-like magnetic susceptibility, with a substantial frozen magnetic moment of U-5f persisting. We …
Publisher Correction: Observation Of Dense Collisional Soliton Complexes In A Two-Component Bose-Einstein Condensate (Communications Physics, (2024), 7, 1, (163), 10.1038/S42005-024-01659-W), Sean M. Mossman, Garyfallia C. Katsimiga, Simeon I. Mistakidis, Alejandro Romero-Ros, Thomas M. Bersano, Peter Schmelcher, Panayotis G. Kevrekidis, Peter Engels
Publisher Correction: Observation Of Dense Collisional Soliton Complexes In A Two-Component Bose-Einstein Condensate (Communications Physics, (2024), 7, 1, (163), 10.1038/S42005-024-01659-W), Sean M. Mossman, Garyfallia C. Katsimiga, Simeon I. Mistakidis, Alejandro Romero-Ros, Thomas M. Bersano, Peter Schmelcher, Panayotis G. Kevrekidis, Peter Engels
Physics Faculty Research & Creative Works
In the first paragraph of the Methods section, the sentence "We begin with an elongated BEC of approximately 9 x 10587Rb atoms…," has erroneously been written without a space between the two superscripts "5" and "87". This has now been corrected in both the HTML and PDF of the article, and the same expression reads: We begin with an elongated BEC of approximately 9 x 105 87Rb atoms…"
Density Effects On The Interferometry Of Efimov States By Modulating Magnetic Fields, G. Bougas, S. I. Mistakidis, P. Giannakeas
Density Effects On The Interferometry Of Efimov States By Modulating Magnetic Fields, G. Bougas, S. I. Mistakidis, P. Giannakeas
Physics Faculty Research & Creative Works
Dynamical association of Efimov trimers in thermal gases by means of modulated magnetic fields has proven very fruitful in determining the binding energy of trimers. The latter was extracted from the number of remaining atoms, which featured oscillatory fringes stemming from the superposition of trimers with atom-dimers. Subsequent theoretical investigations utilizing the time-dependent three-body problem revealed additional association mechanisms, manifested as superpositions of the Efimov state with the trap states and the latter with atom-dimers. The three atoms were initialized in a way to emulate a thermal gas with uniform density. Here, this analysis is extended by taking into account …
Thermal Conductivity Characterization Of High Oleic Vegetable Oils Based Hybrid Nanofluids Formulated Using Gnp, Tio2, Mos2, Al2o3 Nanoparticles For Mql Machining, Anthony Chukwujekwu Okafor, Tobechukwu Kingsley Abor, Saidanvar Esanjonovich Valiev, Ignatius Echezona Ekengwu, Abiodun Saka, Monday Uchenna Okoronkwo
Thermal Conductivity Characterization Of High Oleic Vegetable Oils Based Hybrid Nanofluids Formulated Using Gnp, Tio2, Mos2, Al2o3 Nanoparticles For Mql Machining, Anthony Chukwujekwu Okafor, Tobechukwu Kingsley Abor, Saidanvar Esanjonovich Valiev, Ignatius Echezona Ekengwu, Abiodun Saka, Monday Uchenna Okoronkwo
Chemical and Biochemical Engineering Faculty Research & Creative Works
This paper presents the results of thermal conductivity characterization of six high oleic soybean oil (HOSO) and four high oleic canola oil (HOCO)-Based hybrid nanofluids formulated with four types of nanoparticles (Graphene nanoplatelet (xGnP), TiO2, MoS2, and Al2O3) at nanoparticles wt.% concentration from 1 % to 7 % in 1 % increment using the two-step method for use in MQL machining of difficult-to-cut metals. Thermal conductivity of the formulated hybrid nanofluids were measured using Thermtest Transient Hot Wire Liquid Thermal Conductivity Meter at temperatures from 25 °C to 75 °C in increment …
Deep Learning For Bitcoin Price Direction Prediction: Models And Trading Strategies Empirically Compared, Oluwadamilare Omole, David Enke
Deep Learning For Bitcoin Price Direction Prediction: Models And Trading Strategies Empirically Compared, Oluwadamilare Omole, David Enke
Engineering Management and Systems Engineering Faculty Research & Creative Works
This paper applies deep learning models to predict Bitcoin price directions and the subsequent profitability of trading strategies based on these predictions. The study compares the performance of the convolutional neural network–long short-term memory (CNN–LSTM), long- and short-term time-series network, temporal convolutional network, and ARIMA (benchmark) models for predicting Bitcoin prices using on-chain data. Feature-selection methods—i.e., Boruta, genetic algorithm, and light gradient boosting machine—are applied to address the curse of dimensionality that could result from a large feature set. Results indicate that combining Boruta feature selection with the CNN–LSTM model consistently outperforms other combinations, achieving an accuracy of 82.44%. Three …
Geochemical Evidence Of Drying During The 4.2 Ka Event In Sediment Cores From The Yucatán Peninsula, Mexico, Derek K. Gibson, Jonathan Obrist-Farner, Alex Correa-Metrio, Alejandra Rodriguez-Abaunza, Carlos Castañeda-Posadas
Geochemical Evidence Of Drying During The 4.2 Ka Event In Sediment Cores From The Yucatán Peninsula, Mexico, Derek K. Gibson, Jonathan Obrist-Farner, Alex Correa-Metrio, Alejandra Rodriguez-Abaunza, Carlos Castañeda-Posadas
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
Tropical hydroclimate variability during the Middle and Late Holocene was investigated using geochemical indicators of local-scale precipitation and evaporation preserved in sediment cores from two sites in the Mexican Yucatán Peninsula. Scanning X-Ray fluorescence spectroscopy data show generally decreasing precipitation trends during the Early and Middle Holocene. During the transition between the Middle and Late Holocene, geochemical evidence of reduced watershed erosion and increased evaporation indicate that a centennial-scale drying event impacted the region between 4.3 and 4.0 ka (kilo-anum; thousand years before present). These findings suggest that the 4.2 ka drying event, which has been previously recorded in Europe, …
Experimental Evaluation Of A Recrosslinkable Co2-Resistant Micro-Sized Preformed Particle Gel For Co2 Sweep Efficiency Improvement In Reservoirs With Super-K Channels, Adel Alotibi, Tao Song, Ali Al Brahim, Baojun Bai, Thomas P. Schuman
Experimental Evaluation Of A Recrosslinkable Co2-Resistant Micro-Sized Preformed Particle Gel For Co2 Sweep Efficiency Improvement In Reservoirs With Super-K Channels, Adel Alotibi, Tao Song, Ali Al Brahim, Baojun Bai, Thomas P. Schuman
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
A recross linkable CO2-resistant branched preformed particle gel (CO2-BRPPG) was developed for controlling CO2 injection conformance, particularly in reservoirs with super-permeable channels. Previous work focused on a millimeter-sized CO2-BRPPG in open fractures, but its performance in high-permeability channels with pore throat networks remained unexplored. This study used a sand pack model to evaluate a micro-sized CO2-BRPPG under varying conditions of salinity, gel concentration, and pH. at ambient conditions, the equilibrium swelling ratio (ESR) of the gel reached 76 times its original size. This ratio decreased with increasing salinity but remained stable …
Decoding Emotions: Unveiling Facial Expressions Through Acoustic Sensing With Contrastive Attention, Guangjing Wang, Juexing Wang, Ce Zhou, Weikang Ding, Huacheng Zeng, Tianxing Li, Qiben Yan
Decoding Emotions: Unveiling Facial Expressions Through Acoustic Sensing With Contrastive Attention, Guangjing Wang, Juexing Wang, Ce Zhou, Weikang Ding, Huacheng Zeng, Tianxing Li, Qiben Yan
Computer Science Faculty Research & Creative Works
Expression recognition holds great promise for applications such as content recommendation and mental healthcare by accurately detecting users’ emotional states. Traditional methods often rely on cameras or wearable sensors, which raise privacy concerns and add extra device burdens. In addition, existing acoustic-based methods struggle to maintain satisfactory performance when there is a distribution shift between the training dataset and the inference dataset. In this paper, we introduce FacER+, an active acoustic facial expression recognition system, which eliminates the requirement for external microphone arrays. FacER+ extracts facial expression features by analyzing the echoes of near-ultrasound signals emitted between the 3D facial …
Machine Learned Interatomic Potentials For Ternary Carbides Trained On The Aflow Database, Josiah Roberts, Biswas Rijal, Simon Divilov, Jon Paul Maria, William G. Fahrenholtz, Douglas E. Wolfe, Donald W. Brenner, Stefano Curtarolo, Eva Zurek
Machine Learned Interatomic Potentials For Ternary Carbides Trained On The Aflow Database, Josiah Roberts, Biswas Rijal, Simon Divilov, Jon Paul Maria, William G. Fahrenholtz, Douglas E. Wolfe, Donald W. Brenner, Stefano Curtarolo, Eva Zurek
Materials Science and Engineering Faculty Research & Creative Works
Large-density functional theory (DFT) databases are a treasure trove of energies, forces, and stresses that can be used to train machine-learned interatomic potentials for atomistic modeling. Herein, we employ structural relaxations from the AFLOW database to train moment tensor potentials (MTPs) for four carbide systems: CHfTa, CHfZr, CMoW, and CTaTi. The resulting MTPs are used to relax ~6300 random symmetric structures and are subsequently improved via active learning to generate robust potentials (RP) that can relax a wide variety of structures, and accurate potentials (AP) designed for the relaxation of low-energy systems. This protocol is shown to yield convex hulls …
The Palaeoclimate Potential Of Continental Scientific Drilling, Jonathan Obrist-Farner, Lesleigh Anderson, Paul Baker, Melissa A. Berke, Emily J. Beverly, Julie Brigham-Grette, Erik Brown, Isla S. Castañeda, Alan L. Deino, Sherilyn C. Fritz, Steven L. Goldstein, Natalie M. Kehrwald, Matthew Kirby, Kenneth G. Miller
The Palaeoclimate Potential Of Continental Scientific Drilling, Jonathan Obrist-Farner, Lesleigh Anderson, Paul Baker, Melissa A. Berke, Emily J. Beverly, Julie Brigham-Grette, Erik Brown, Isla S. Castañeda, Alan L. Deino, Sherilyn C. Fritz, Steven L. Goldstein, Natalie M. Kehrwald, Matthew Kirby, Kenneth G. Miller
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
No abstract provided.
Elucidating The Significant Roles Of Root Exudates In Organic Pollutant Biotransformation Within The Rhizosphere, Michael O. Eze, Chinedu F. Amuji
Elucidating The Significant Roles Of Root Exudates In Organic Pollutant Biotransformation Within The Rhizosphere, Michael O. Eze, Chinedu F. Amuji
Chemistry Faculty Research & Creative Works
Biotransformation of organic pollutants is crucial for the dissipation of environmental pollutants. While the roles of microorganisms have been extensively studied, the significant contribution of various root exudates are still not very well understood. Through plant growth experiment, coupled with gas and liquid chromatography-mass spectrometry methods, this study examined the effect of the presence of M. sativa on microbial-associated biochemical transformation of petroleum hydrocarbons. The results of this study revealed that the concentration of exudates within the soil matrix is a function of proximity to root surfaces. Similarly, biodegradation was found to correlate with distance from roots, ranging from ≥ …
Ai Is A Viable Alternative To High Throughput Screening: A 318-Target Study, Izhar Wallach, Denzil Bernard, Kong Nguyen, Gregory Ho, Adrian Morrison, Adrian Stecula, Andreana Rosnik, Ann Marie O'Sullivan, Aram Davtyan, Ben Samudio, Bill Thomas, Brad Worley, Brittany Butler, Christian Laggner
Ai Is A Viable Alternative To High Throughput Screening: A 318-Target Study, Izhar Wallach, Denzil Bernard, Kong Nguyen, Gregory Ho, Adrian Morrison, Adrian Stecula, Andreana Rosnik, Ann Marie O'Sullivan, Aram Davtyan, Ben Samudio, Bill Thomas, Brad Worley, Brittany Butler, Christian Laggner
Chemistry Faculty Research & Creative Works
High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, …
Reflections On Linear B, (Part 6): Possible Origin Of The Shape And Pronunciation /Ko/ Of Sign 70, Gerald Leonard Cohen
Reflections On Linear B, (Part 6): Possible Origin Of The Shape And Pronunciation /Ko/ Of Sign 70, Gerald Leonard Cohen
Arts, Languages and Philosophy Faculty Research & Creative Works
This article suggests that the shape of Linear B sign 70 may derive from the Egyptian hieroglyph uatch ‘young plant, green’ and that its pronunciation /ko/ is explainable by the Greek word for green (χλωρός).
Author Correction: Dual Nature Of Magnetism Driven By Momentum Dependent F-D Kondo Hybridization (Communications Physics, (2024), 7, 1, (186), 10.1038/S42005-024-01631-8), Byungkyun Kang, Yongbin Lee, Liqin Ke, Hyunsoo Kim, Myoung Hwan Kim, Chul Hong Park
Author Correction: Dual Nature Of Magnetism Driven By Momentum Dependent F-D Kondo Hybridization (Communications Physics, (2024), 7, 1, (186), 10.1038/S42005-024-01631-8), Byungkyun Kang, Yongbin Lee, Liqin Ke, Hyunsoo Kim, Myoung Hwan Kim, Chul Hong Park
Physics Faculty Research & Creative Works
Correction to: Communications Physicshttps://doi.org/10.1038/s42005-024-01631-8, published online 12 June 2024 In this article the grant number DE-AC02-07CH11358 relating to Ames National Laboratory was omitted. The original article has been corrected.
Assessing The Predictive Validity Of Expectancy Theory For Academic Performance, Vahe Permzadian, Ting Shen
Assessing The Predictive Validity Of Expectancy Theory For Academic Performance, Vahe Permzadian, Ting Shen
Psychological Science Faculty Research & Creative Works
Background: Despite expectancy theory's widespread appeal and influence as a framework for motivation in organizational and educational settings, studies that have examined the theory's validity for performance-based outcomes, particularly with academic performance as the criterion, have been characterized by inconsistent results. Given numerous methodological concerns associated with past studies (e.g., prevalence of between-person rather than within-person design), we examined the predictive validity of expectancy theory for academic performance using methods that were consistent with the theory's original conceptualization. Additionally, we assessed the validity of the theory for students' study effort. Methods: The final sample included 123 undergraduate students who reported …
Final Report - Qa/Qc Guidelines On Drone-Based Remote Sensing For Bridge Element Inspection, Genda Chen, Woubishet Z. Taffese, Ritesh Sharma, Zhenhua Shi
Final Report - Qa/Qc Guidelines On Drone-Based Remote Sensing For Bridge Element Inspection, Genda Chen, Woubishet Z. Taffese, Ritesh Sharma, Zhenhua Shi
Project IM-4
Remote sensing of elevated infrastructure via robotic platforms has recently gained increasing interest in bridge inspection. Such automated bridge inspection can not only overcome accessibility and safety challenges but also improve objectivity and consistency of the measured data compared to current visual inspection practices. With the advent of advanced technologies, quality assurance (QA) and quality control (QC) for robot-based bridge inspection become imperative. This study aims (1) to understand actionable inspection activities and procedures in route planning, sensor preparation and measurement, ground truth selection, and statistical analysis; (2) to outline assessment matrices and best practices for drone-based images to achieve …
Energetics Of Mode-1 Internal Waves Interacting With Topographic Ridges Of Varying Height And Slope, Matthew R. Klema, Subhas K. Venayagamoorthy
Energetics Of Mode-1 Internal Waves Interacting With Topographic Ridges Of Varying Height And Slope, Matthew R. Klema, Subhas K. Venayagamoorthy
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Energetics of mode-1 internal waves interacting with topographic ridges are investigated using high-resolution two-dimensional simulations at spatial scales of m that span between classical laboratory-scale (m) and field-scale simulations (m). This paper focuses on the energetics of wave-Topography interaction, with emphasis on systematically examining the partitioning of the incident wave energy as a function of wave forcing and topographic parameters. Partitioning of energy into the transmitted, reflected and dissipated components is quantified as a function of wave Froude number (velocity amplitude of forcing and internal wave celerity), slope criticality, where topographic slope and wave characteristic slope, and the ratio of …
Multiphase Electrochemical Li-Ion Intercalation In Iron Selenite: Evidence Of Fe³⁺/⁴⁺ Redox And Single-Crystal-To-Single-Crystal Topochemical Transformation During Chemical Lithiation, Sutapa Bhattacharya, Aleksandr V. Chernatynskiy, Amitava Choudhury
Multiphase Electrochemical Li-Ion Intercalation In Iron Selenite: Evidence Of Fe³⁺/⁴⁺ Redox And Single-Crystal-To-Single-Crystal Topochemical Transformation During Chemical Lithiation, Sutapa Bhattacharya, Aleksandr V. Chernatynskiy, Amitava Choudhury
Physics Faculty Research & Creative Works
An iron selenite-based cathode compound, LiFe(SeO3)2, is synthesized via a simple hydrothermal route. The bulk purity of the compound is confirmed by powder X-ray diffraction (PXRD), Mössbauer spectroscopy, and Fourier transform infrared spectroscopy (FTIR). The crystal structure determined from the single-crystal X-ray diffraction and Rietveld refinement of synchrotron PXRD data perfectly matches the previously reported structure in the I4̅2d space group. The crystal structure is built up of edge-sharing of FeO6 octahedra and LiO4 tetrahedra interconnected by SeO3 trigonal pyramidal units, forming a three-dimensional open framework network with channels through all three axes. …
Analysis Of Dual, Onboard Storage And Separation Of Biogas In Carbon-Based Adsorbed Gas Systems, Kyle Newport, Carlos Wexler, Peter Pfeifer, Fateme Rezaei
Analysis Of Dual, Onboard Storage And Separation Of Biogas In Carbon-Based Adsorbed Gas Systems, Kyle Newport, Carlos Wexler, Peter Pfeifer, Fateme Rezaei
Chemical and Biochemical Engineering Faculty Research & Creative Works
Direct utilization of "low-grade" biogas, as an important sustainable energy resource, provides a viable approach to avoid the energy-intensive upgrading step that is often required to separate CO2 from CH4 in order to produce a pipeline-grade fuel gas. This study investigated dual, onboard storage and separation of biogas in an adsorbed gas system (AGS) over two highly porous carbon sorbents, Br-318 and Nuchar, in the pressure range of 0-55 bar. The AGS was pressurized with a 50/50 vol % CH4/CO2 feed and working capacities as a function of charge-discharge pressures and temperatures were determined and …
Enhancing Frp-Concrete Interface Bearing Capacity Prediction With Explainable Machine Learning: A Feature Engineering Approach And Shap Analysis, Yanping Zhu, Woubishet Zewdu Taffese, Genda Chen
Enhancing Frp-Concrete Interface Bearing Capacity Prediction With Explainable Machine Learning: A Feature Engineering Approach And Shap Analysis, Yanping Zhu, Woubishet Zewdu Taffese, Genda Chen
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
This study introduces a novel approach to predict the shear bearing capacity of FRP-concrete interfaces using explainable machine learning. Eight algorithms are employed: three standalone models (Artificial Neural Network, Support Vector Regression, and Decision Tree) and five ensemble learning models (Bagging, Random Forest, Adaptive Boosting, Gradient Boosting, and Extreme Gradient Boosting). Four scenarios with varying input features, including engineered features inspired by mechanics-based bearing capacity equations, are examined. Notably, the inclusion of engineered features such as the stiffness of the FRP strip (Kf) significantly enhanced prediction accuracy and efficiency, although the width correction coefficient (bf/bc) did not yield significant benefits, …
Multi-Dimensional Visualization Strategies Using Web Scraping Tools: A Word Formation Synthesis Case Study For Russian Verbs Of Sound, John Simmons
Graduate Student Research & Creative Works
No abstract provided.
Three-Dimensional Technique For Accurate Pavement Macrotexture Measurement Using Surface Volume Parameters, Alireza Pourhassan, Ahmed A. Gheni, Mohamed A. Elgawady
Three-Dimensional Technique For Accurate Pavement Macrotexture Measurement Using Surface Volume Parameters, Alireza Pourhassan, Ahmed A. Gheni, Mohamed A. Elgawady
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
This study introduces a novel three-dimensional (3D) pavement macrotexture measurement technique using ISO 25178 Surface Volume Parameters (SVP). The method calculates pavement material volume and texture height using cutoff thresholds based on the cumulative probability density function of measured heights. The research aims to optimize these cutoff thresholds for accurate 3D analysis of pavement macrotexture. The study evaluates the performance of various 3D and 2D parameters—assessing their repeatability, reliability, and accuracy—across thirty pavement samples with diverse macrotexture conditions. Findings show that the 3D SVP method, with optimized cutoff thresholds, strongly correlates with sand patch mean texture depth (MTD) and exhibits …
Boosting The Power Performance Of Microbial Fuel Cells By Using Dual Nanomaterial-Modified Carbon Felt Electrodes, Krishna Thapa, Wenyan Liu, Yuwei Zhang, David J. Westenberg, Yishu Zhou, Risheng Wang
Boosting The Power Performance Of Microbial Fuel Cells By Using Dual Nanomaterial-Modified Carbon Felt Electrodes, Krishna Thapa, Wenyan Liu, Yuwei Zhang, David J. Westenberg, Yishu Zhou, Risheng Wang
Chemistry Faculty Research & Creative Works
Innovative design enhancements to microbial fuel cells (MFCs) are pivotal for improving their viability as renewable energy sources. This study introduces a dual approach to electrode modification, integrating polyaniline (PANI) and gold nanoparticles (AuNPs) on carbon felt (CF) anodes coupled with a unique cathode composed of DNA origami and chitosan. The synergistic effect of PANI and AuNPs significantly increases the hydrophilicity and conductivity of the anode, leading to a considerable surge in power density. Concurrently, the biocompatible DNA origami and chitosan-functionalized cathode facilitates efficient electron transfer without relying on conventional catalysts. Together, these modifications yield a 52.42% increase in the …
Tradeoffs In Longleaf Pine Conservation: Prescribed Fire Management Increases Exotic Ambrosia Beetle Abundance In Pine-Hardwood Forests, Davide Nardi, Hannah Bares, Natalie A. Clay, Robin M. Verble, Davide Rassati, Lorenzo Marini, John Thomason, John J. Riggins
Tradeoffs In Longleaf Pine Conservation: Prescribed Fire Management Increases Exotic Ambrosia Beetle Abundance In Pine-Hardwood Forests, Davide Nardi, Hannah Bares, Natalie A. Clay, Robin M. Verble, Davide Rassati, Lorenzo Marini, John Thomason, John J. Riggins
Biological Sciences Faculty Research & Creative Works
Exotic woodboring insects, including some ambrosia beetles (Coleoptera: Curculionidae, Scolytinae, and Platypodidae), are threatening native forests worldwide. Longleaf pine (Pinus palustris Mill.) forest is an endangered habitat in the southeastern United States. One of the most important actions necessary for its conservation is prescribed fire, which maintains its savanna structure. However, prescribed fire is a forest disturbance, possibly creating new niches for colonization by exotic insects. The interaction between prescribed fire and exotic ambrosia species is understudied, especially in highly fire-dependent ecosystems. We carried out a two-year experiment in mixed longleaf pine forests in Alabama, USA. We compared ambrosia beetle …
A Complete Invariant For Shift Equivalence For Boolean Matrices And Finite Relations, Ethan Akin, Marian Mrozek, Mateusz Przybylski, Jim Wiseman
A Complete Invariant For Shift Equivalence For Boolean Matrices And Finite Relations, Ethan Akin, Marian Mrozek, Mateusz Przybylski, Jim Wiseman
Mathematics and Statistics Faculty Research & Creative Works
We give a complete invariant for shift equivalence for Boolean matrices (equivalently finite relations), in terms of the period, the induced partial order on recurrent components, and the cohomology class of the relation on those components.
Temperature Effect On The Properties And Response Of Composite Materials And Plates, Victor Birman
Temperature Effect On The Properties And Response Of Composite Materials And Plates, Victor Birman
Mechanical and Aerospace Engineering Faculty Research & Creative Works
The paper illustrates the effect of temperature on composite material properties and its influence on the response of composite plates. Two composites considered include laminae with uniaxially oriented and with in-plane randomly oriented fibers. Analytical solutions are presented for a uniformly heated large-aspect-ratio plate deforming into a cylindrical surface. The solutions are demonstrated for thermal buckling and natural frequencies for the cases of controlled loading and controlled displacements. Micromechanical residual and lifetime thermally induced stresses at the interface of fibers and matrix are assessed to predict a possible onset of local damage after the curing and during lifetime. The material …