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Articles 481 - 510 of 10900
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Li2mp2s6: Building-Block Approach To A Family Of 2d Non-Van Der Waals-Layered Materials And Their Water, Ammonia, And Ion Intercalation Properties, Santhoshkumar Sundaramoorthy, Nikolay Gerasimchuk, Kartik Ghosh, Steven P. Kelley, Amitava Choudhury
Li2mp2s6: Building-Block Approach To A Family Of 2d Non-Van Der Waals-Layered Materials And Their Water, Ammonia, And Ion Intercalation Properties, Santhoshkumar Sundaramoorthy, Nikolay Gerasimchuk, Kartik Ghosh, Steven P. Kelley, Amitava Choudhury
Chemistry Faculty Research & Creative Works
A Series of Non-Van Der Waals 2D Quaternary Thiophosphates with Nominal Composition, Li2MP2S6 (M = V, Mn, Fe, Co, Ni, and Zn), Has Been Successfully Synthesized through Solid-State Metathesis Reactions by a Building Block Approach as Well as Starting with a Stoichiometric Combination of Elements. Li4-NxMxn+P2S6 (M = V, Fe, Ni, Co, and Zn; X = 0.5-1, N = 2 or 3) Crystallize in the P3̅1m Space Group, While Li2MnP2S6 Crystallizes in R3̅. All the Compounds Form a 2D Layered Structure through Edge Sharing MS6 Octahedra and P2S6 Units with Li Atoms Occupying the Interlayer Spaces. X-Ray Diffraction and Thermogravimetric …
Li2mp2s6: Building-Block Approach To A Family Of 2d Non-Van Der Waals-Layered Materials And Their Water, Ammonia, And Ion Intercalation Properties, Santhoshkumar Sundaramoorthy, Nikolay Gerasimchuk, Kartik Ghosh, Steven P. Kelley, Amitava Choudhury
Li2mp2s6: Building-Block Approach To A Family Of 2d Non-Van Der Waals-Layered Materials And Their Water, Ammonia, And Ion Intercalation Properties, Santhoshkumar Sundaramoorthy, Nikolay Gerasimchuk, Kartik Ghosh, Steven P. Kelley, Amitava Choudhury
Chemistry Faculty Research & Creative Works
A series of non-van der Waals 2D quaternary thiophosphates with nominal composition, Li2MP2S6 (M = V, Mn, Fe, Co, Ni, and Zn), has been successfully synthesized through solid-state metathesis reactions by a building block approach as well as starting with a stoichiometric combination of elements. Li4-nxMxn+P2S6 (M = V, Fe, Ni, Co, and Zn; x = 0.5-1, n = 2 or 3) crystallize in the P3̅1m space group, while Li2MnP2S6 crystallizes in R3̅. All the compounds form a 2D layered structure through edge sharing MS6 octahedra and P2S …
Drone-Based Bug Detection In Orchards With Nets: A Novel Orienteering Approach, Francesco Betti Sorbelli, Federico Coró, Sajal K. Das, Lorenzo Palazzetti, Cristina M. Pinotti
Drone-Based Bug Detection In Orchards With Nets: A Novel Orienteering Approach, Francesco Betti Sorbelli, Federico Coró, Sajal K. Das, Lorenzo Palazzetti, Cristina M. Pinotti
Computer Science Faculty Research & Creative Works
The Use of Drones for Collecting Information and Detecting Bugs in Orchards Covered by Nets is a Challenging Problem. the Nets Help in Reducing Pest Damage, But They Also Constrain the Drone's Flight Path, Making It Longer and More Complex. to Address This Issue, We Model the Orchard as an Aisle-Graph, a Regular Data Structure that Represents Consecutive Aisles Where Trees Are Arranged in Straight Lines. the Drone Flies Close to the Trees and Takes Pictures at Specific Positions for Monitoring the Presence of Bugs, But its Energy is Limited, So It Can Only Visit a Subset of Positions. to …
2023 Rising Stars In Measurement Science, Shelley Minteer
2023 Rising Stars In Measurement Science, Shelley Minteer
Chemistry Faculty Research & Creative Works
No abstract provided.
Numerical Studies On Bose–Einstein Condensates, Megan Benkendorf
Numerical Studies On Bose–Einstein Condensates, Megan Benkendorf
Undergraduate Research Conference at Missouri S&T
Bose-Einstein condensate (BEC) is a state of matter near absolute zero temperature for which all atoms lose their individual properties and condense into a macroscopic coherent "super-wave". The superfluidity of BEC has been the focus of active research since the first experimental realization of BEC in 1995. The recent launch of the Cold Atom Laboratory to the space station on May 21, 2018, has once again drawn spotlights to these fascinating properties of BEC. In this project, we will carry out numerical studies to understand the behavior of exciton-polariton BECs. A modified Gross-Pitaevskii equation is used to model the dynamics …
Biosensors For Antibacterial Medical Applications, Ryan Fagan, Shelby Wallen
Biosensors For Antibacterial Medical Applications, Ryan Fagan, Shelby Wallen
Undergraduate Research Conference at Missouri S&T
Healthcare associated infections are significant concern in medicine and as antibiotics are becoming less effective, we need new alternative methods to treat them. We are testing various materials that can be used to prevent infections in healthcare settings and in wound treatments. These materials include bioactive glass and modified hydrogel materials. From these studies we've learned these are effective in killing bacteria and preventing infections. The goal of this project is to determine the mechanism at which these materials kill bacteria. Our approach is to construct biosensor strains that can indicate bacterial stress response to antimicrobial agents. We have used …
Microbial Matrix: Genetic And Chemical Aspects Of Cell-Cell Communication, Amelia Markwell, Sophia Nicolette Militante
Microbial Matrix: Genetic And Chemical Aspects Of Cell-Cell Communication, Amelia Markwell, Sophia Nicolette Militante
Undergraduate Research Conference at Missouri S&T
This research project focuses on looking at different quorum-sensing positive strains in bradyrhizobium japonicum, a species of legume-root bacteria found in soybean plants across the Midwest. Soybean plants are a high-yield crop produced here in the midwest, bringing in more than 8 billion dollars in monetary output for our state, making it Missouri's economic engine. Our objective, is to use different chemical testing methods to distinguish genetic differences between negative strains. This can be done through polymerase chain reaction, gel electrophoresis, and gene editing. Our goal has been to PCR amplify a fine-tuned promoter then clone it into the gene. …
The Influence Of Sensory Modality On Aesthetic Judgments Of Poetry, Jessica Frame, Kendra Mehl
The Influence Of Sensory Modality On Aesthetic Judgments Of Poetry, Jessica Frame, Kendra Mehl
Undergraduate Research Conference at Missouri S&T
Previous research has shown that vividness of evoked imagery is the strongest contributor to aesthetic pleasure for poetry. However, it is 19 unknown whether modality of the poem has an effect on the relationship between vividness and aesthetic appeal, as past work has only used written poems. In this study we want to evaluate rating of vividness, valence, arousal, and aesthetic appeal based on the modality in which poems are presented (listening only, reading only, or combined). Participants were randomly assigned to one of the three modalities: text-only (N=81 ), audio-only (N=74), or combined audio/text (N=78). Our results showed that …
The Aerodynamic Levitator Project, Noah Brown
The Aerodynamic Levitator Project, Noah Brown
Undergraduate Research Conference at Missouri S&T
After the development and successful demonstration of a hyperbaric aerodynamic levitator, work to redesign the nozzle was proposed for increasing levitation height and stability. The goal of this eight-week summer research project was to create a CFD model to aid in the optimization of this nozzle. This was to be accomplished by using ANSYS Fluent to first replicate experimental data found in a research paper to assess its validity. Next, the model was to be modified for use on the levitator project and then used to analyze the current nozzle design. Afterwards, Steps will be taken to make alterations to …
New Testing Capabilities Of The Missouri University Of Science And Technology Supersonic Wind Tunnel, Joshua Gary, Davide Vigano
New Testing Capabilities Of The Missouri University Of Science And Technology Supersonic Wind Tunnel, Joshua Gary, Davide Vigano
Undergraduate Research Conference at Missouri S&T
The development of non-intrusive, laser-based diagnostic techniques has significantly enhanced supersonic experimental aerodynamics, enabling the measurement of many parameters in complex flow fields. Among these techniques, Tomographic Particle Image Velocimetry, capable of measuring 3 components of velocity in 3-dimensional volumes, is now available at the Aerodynamics Research Laboratory of the Missouri University of Science and Technology. To integrate this new system into the university's supersonic wind tunnel, a redesigned nozzle, test section, and diffuser have been implemented. The upgraded modular test section features 4 large ports which can be configured with windows for optical diagnostics or lead plates for model …
Comprehensive Understanding Of Factors Impacting Competitive Construction Bidding, Muaz O. Ahmed, Islam H. El-Adaway, Aubrie Caldwell
Comprehensive Understanding Of Factors Impacting Competitive Construction Bidding, Muaz O. Ahmed, Islam H. El-Adaway, Aubrie Caldwell
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Construction competitive bidding has been studied by many researchers; however, their focus was mainly on certain bidding aspects. Thus, despite their value, existing bidding models have limited applicability for various reasons including the non-inclusion of some real-life factors that impact bidding-related decisions. As such, there is a need for identifying a comprehensive list of bidding factors that impact construction bidding-related decisions, studying their associations, and identifying understudied factors to direct future research efforts. This paper fills this knowledge gap. First, the authors conducted a systematic selection of 124 construction bidding-related articles published within the past 40 years. Second, the authors …
Lrs: Enhancing Adversarial Transferability Through Lipschitz Regularized Surrogate, Tao Wu, Tony Tie Luo, Donald C. Wunsch
Lrs: Enhancing Adversarial Transferability Through Lipschitz Regularized Surrogate, Tao Wu, Tony Tie Luo, Donald C. Wunsch
Computer Science Faculty Research & Creative Works
The Transferability of Adversarial Examples is of Central Importance to Transfer-Based Black-Box Adversarial Attacks. Previous Works for Generating Transferable Adversarial Examples Focus on Attacking Given Pretrained Surrogate Models While the Connections between Surrogate Models and Adversarial Trasferability Have Been overlooked. in This Paper, We Propose Lipschitz Regularized Surrogate (LRS) for Transfer-Based Black-Box Attacks, a Novel Approach that Transforms Surrogate Models towards Favorable Adversarial Transferability. using Such Transformed Surrogate Models, Any Existing Transfer-Based Black-Box Attack Can Run Without Any Change, Yet Achieving Much Better Performance. Specifically, We Impose Lipschitz Regularization on the Loss Landscape of Surrogate Models to Enable a Smoother …
Mitigation Of Potential Risks In Chemical Laboratories: A Focused Review, Hossein Abedsoltan, Mark B. Shiflett
Mitigation Of Potential Risks In Chemical Laboratories: A Focused Review, Hossein Abedsoltan, Mark B. Shiflett
Chemical and Biochemical Engineering Faculty Research & Creative Works
This review paper presents an analysis of safety practices in chemical laboratories. It encompasses a systematic exploration of various facets including risk assessment, hazard mitigation, and the implementation of safety protocols. Emphasis is placed on the critical role of continuous education and training, advocating a proactive safety culture, and adapting to technological advancements. Additionally, the paper underscores the importance of adhering to regulatory standards, promoting exceeding baseline compliance toward establishing best practices in laboratory safety. This comprehensive approach highlights the dynamic, multifaceted nature of laboratory safety, positioning it as a fundamental aspect of scientific research.
The Shock Cone Instabilities And Quasi-Periodic Oscillations Around The Hartle–Thorne Black Hole, Orhan Donmez, Fatih Dogan
The Shock Cone Instabilities And Quasi-Periodic Oscillations Around The Hartle–Thorne Black Hole, Orhan Donmez, Fatih Dogan
Materials Science and Engineering Faculty Research & Creative Works
To explain the observed X-ray data in a black hole–accreting matter system and understand the physical mechanisms behind QPOs, we have numerically modeled the dynamical and oscillation properties of the shock cone formed around both slowly and rapidly rotating Hartle–Thorne black holes, resulting from the mechanism of Bondi–Hoyle–Lyttleton (BHL). According to the numerical simulations, an increase in the quadrupole parameter leads to a decrease in the shock cone opening angle around the black hole. A larger quadrupole parameter results in more matter falling into the black hole within the cone. The combination of the quadrupole parameter and black hole rotation …
Second Inflection Point Of Supercooled Water Surface Tension Induced By Hydrogen Bonds: A Molecular-Dynamics Study, Fawaz Hrahsheh, Inshad Jum'h, Gerald Wilemski
Second Inflection Point Of Supercooled Water Surface Tension Induced By Hydrogen Bonds: A Molecular-Dynamics Study, Fawaz Hrahsheh, Inshad Jum'h, Gerald Wilemski
Physics Faculty Research & Creative Works
Surface Tension Of Supercooled Water Is A Fundamental Property In Various Scientific Processes. In This Study, We Perform Molecular Dynamics Simulations With The TIP4P-2005 Model To Investigate The Surface Tension Of Supercooled Water Down To 220 K. Our Results Show A Second Inflection Point (SIP) In The Surface Tension At Temperature TSIP ≈ 267.5 ± 2.3 K. Using An Extended IAPWS-E Functional Fit For The Water Surface Tension, We Calculate The Surface Excess Internal-Energy And Entropy Terms Of The Excess Helmholtz Free Energy. Similar To Prior Studies [Wang Et Al., Phys. Chem. Chem. Phys. 21, 3360 (2019); Gorfer Et Al., …
Effect Of The Filler Morphology On The Crystallization Behavior And Dielectric Properties Of The Polyvinylidene Fluoride-Based Composite, Suzana Filipović, Nina Obradović, Cole Corlett, William G. Fahrenholtz, Martin Rosenschon, Ekkehard Füglein, Radovan Dojčilović, Dragana Tošić, Jovana Petrović, Antonije Đorđević, Branislav Vlahović, Vladimir B. Pavlović
Effect Of The Filler Morphology On The Crystallization Behavior And Dielectric Properties Of The Polyvinylidene Fluoride-Based Composite, Suzana Filipović, Nina Obradović, Cole Corlett, William G. Fahrenholtz, Martin Rosenschon, Ekkehard Füglein, Radovan Dojčilović, Dragana Tošić, Jovana Petrović, Antonije Đorđević, Branislav Vlahović, Vladimir B. Pavlović
Materials Science and Engineering Faculty Research & Creative Works
Ceramic/polymer composites can be chemically stable, mechanically strong, and flexible, which make them candidates for electric devices, such as pressure or temperature sensors, energy storage or harvesting devices, actuators, and so forth. Depending on the application, various electrical properties are of importance. Polymers usually have low dielectric permittivity, but increased dielectric permittivity can be achieved by the addition of the ceramic fillers with high dielectric constant. With the aim to enhance dielectric properties of the composite without loss of flexibility, 5 wt.% of BaTiO3-Fe2O3 powder was added into a polyvinylidene fluoride matrix. The powder was …
Feature Engineering And Supervised Machine Learning To Forecast Biogas Production During Municipal Anaerobic Co-Digestion, Hunter W. Schroer, Craig L. Just
Feature Engineering And Supervised Machine Learning To Forecast Biogas Production During Municipal Anaerobic Co-Digestion, Hunter W. Schroer, Craig L. Just
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Municipalities with excess anaerobic digestion capacity accept offsite wastes for co-digestion to meet sustainability goals and create more biogas. Despite the benefits inherent to co-digestion, the temporal and compositional heterogeneity of external waste streams creates operational challenges that lead to upsets or conservative co-digestion. Given the complex microbial bioprocesses occurring during anaerobic digestion, prediction and modeling of the outcomes can be challenging, and machine learning has the potential to improve understanding and control of co-digestion processes. Biogas flows are a surrogate for process health, and here, we predicted biogas production from historical data collected by a water resource recovery facility …
Highly Efficient Dopamine Sensing With A Carbon Nanotube-Encapsulated Metal Chalcogenide Nanostructure, Harish Singh, Jiandong Wu, Kurt A.L. Lagemann, Manashi Nath
Highly Efficient Dopamine Sensing With A Carbon Nanotube-Encapsulated Metal Chalcogenide Nanostructure, Harish Singh, Jiandong Wu, Kurt A.L. Lagemann, Manashi Nath
Chemical and Biochemical Engineering Faculty Research & Creative Works
Carbon nanotube-encapsulated nickel selenide composite nanostructures were used as nonenzymatic electrochemical sensors for dopamine detection. These composite nanostructures were synthesized through a simple, one-step, and environmentally friendly chemical vapor deposition method, wherein the CNTs were formed in situ from pyrolysis of a carbon-rich metallo-organic precursor. The composition and morphology of these hybrid NiSe2-filled carbon nanostructures were confirmed by powder X-ray diffraction, Raman, X-ray photoelectron spectroscopy, and high-resolution transmission electron microscopy images. Electrochemical tests demonstrated that the as-synthesized hybrid nanostructures exhibited outstanding electrocatalytic performance toward dopamine oxidation, with a high sensitivity of 19.62 μA μM-1 cm-2, low detection limit, broad linear …
A Phenomenological Thermodynamic Energy Density Function For Ferroelectric Wurtzite Al1−Xscxn Single Crystals, Yijia Gu, Andrew C. Meng, Aiden Ross, Long Qing Chen
A Phenomenological Thermodynamic Energy Density Function For Ferroelectric Wurtzite Al1−Xscxn Single Crystals, Yijia Gu, Andrew C. Meng, Aiden Ross, Long Qing Chen
Materials Science and Engineering Faculty Research & Creative Works
A Landau-Devonshire thermodynamic energy density function for ferroelectric wurtzite aluminum scandium nitride (Al1−xScxN) solid solution is developed. It is parametrized using available experimental and theoretical data, enabling the accurate reproduction of composition-dependent ferroelectric properties, such as spontaneous polarization, dielectric permittivity, and piezoelectric constants, for both bulk and thin films. The maximum concentration of Sc for the wurtzite structure to remain ferroelectric is found to be 61 at. %. A detailed analysis of Al1−xScxN thin films reveals that the ferroelectric phase transition and properties are insensitive to substrate strain. This study lays the foundation for quantitative modeling of novel ferroelectric wurtzite …
Dynamic Model Of Ac-Ac Dual Active Bridge Converter Using The Extended Generalized Average Modeling Framework, Kartikeya Jayadurga Prasad Veeramraju, Jonathan W. Kimball
Dynamic Model Of Ac-Ac Dual Active Bridge Converter Using The Extended Generalized Average Modeling Framework, Kartikeya Jayadurga Prasad Veeramraju, Jonathan W. Kimball
Electrical and Computer Engineering Faculty Research & Creative Works
The ac-ac dual active bridge (DAB) converter is an advanced bidirectional two-port grid interface converter that facilitates active and reactive power flow control between two grids without a dc-link capacitor. This article presents a novel modeling approach for the ac-ac DAB converter using the extended generalized average modeling (EGAM) technique. Unlike the conventional generalized average modeling (GAM) framework, the ac-ac DAB converter's dynamic state variables, including the leakage inductor current and ac grid side LC filters, exhibit grid and switching frequency components, making the standard GAM framework unsuitable for dynamic modeling involving two distinct excitation frequencies. Furthermore, the 2-D GAM …
Multilayered Energy Management Framework For Extreme Fast Charging Stations Considering Demand Charges, Battery Degradation, And Forecast Uncertainties, Waqas Ur Rehman, Jonathan W. Kimball, Rui Bo
Multilayered Energy Management Framework For Extreme Fast Charging Stations Considering Demand Charges, Battery Degradation, And Forecast Uncertainties, Waqas Ur Rehman, Jonathan W. Kimball, Rui Bo
Electrical and Computer Engineering Faculty Research & Creative Works
To achieve a cost-effective and expeditious charging experience for extreme fast charging station (XFCS) owners and electric vehicle (EV) users, the optimal operation of XFCS is crucial. It is, however, challenging to simultaneously manage the profit from energy arbitrage, the cost of demand charges, and the degradation of a battery energy storage system (BESS) under uncertainties. This article, therefore, proposes a multilayered Mult timescale energy flow management framework for an XFCS by considering long- and short-term forecast uncertainties, monthly demand charges reduction, and BESS life degradation. in the proposed approach, an upper scheduling layer (USL) ensures the overall operation economy …
A Novel And Enhanced Calibration Of The Tilting Weir As A Flow Measurement Structure, Joseph E. Pugh, S. Karan Venayagamoorthy, Timothy K. Gates, Céline Berni, Marie Rastello
A Novel And Enhanced Calibration Of The Tilting Weir As A Flow Measurement Structure, Joseph E. Pugh, S. Karan Venayagamoorthy, Timothy K. Gates, Céline Berni, Marie Rastello
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
A large collection of laboratory measurements of piezometric head (h) and discharge (Q) were made over hydraulic models of a tilting weir at nine different angles, ranging from 25.7° to 90° within a 0.3-m-wide flume. These measurements were corroborated with additional laboratory data taken within a 1-m-wide flume across four inclination angles. The range of both inclination angle (θ) and flow scale examined in this study elucidate the nature of the head-discharge rating equation beyond previous work. Results show that as θ decreases under a constant Q, the h over the weir decreases in a monotonic fashion due to the …
Universality Class Of A Spinor Bose–Einstein Condensate Far From Equilibrium, Seung Jung Huh, Koushik Mukherjee, Kiryang Kwon, Jihoon Seo, Junhyeok Hur, Simeon I. Mistakidis, H. R. Sadeghpour, Jae Yoon Choi
Universality Class Of A Spinor Bose–Einstein Condensate Far From Equilibrium, Seung Jung Huh, Koushik Mukherjee, Kiryang Kwon, Jihoon Seo, Junhyeok Hur, Simeon I. Mistakidis, H. R. Sadeghpour, Jae Yoon Choi
Physics Faculty Research & Creative Works
Scale Invariance And Self-Similarity In Physics Provide A Unified Framework For Classifying Phases Of Matter And Dynamical Properties Near Equilibrium In Both Classical And Quantum Systems. This Paradigm Has Been Further Extended To Isolated Many-Body Quantum Systems Driven Far From Equilibrium, For Which The Physical Observables Exhibit Dynamical Scaling With Universal Scaling Exponents. Universal Dynamics Appear In A Wide Range Of Scenarios, Including Cosmology, Quark–gluon Matter, Ultracold Atoms And Quantum Spin Magnets. However, How The Universal Dynamics Depend On The Symmetry Of The Underlying Hamiltonian In Non-Equilibrium Systems Remains An Outstanding Challenge. Here We Report On The Classification Of Universal …
Continual Online Learning-Based Optimal Tracking Control Of Nonlinear Strict-Feedback Systems: Application To Unmanned Aerial Vehicles, Irfan Ganie, Sarangapani Jagannathan
Continual Online Learning-Based Optimal Tracking Control Of Nonlinear Strict-Feedback Systems: Application To Unmanned Aerial Vehicles, Irfan Ganie, Sarangapani Jagannathan
Electrical and Computer Engineering Faculty Research & Creative Works
A novel optimal trajectory tracking scheme is introduced for nonlinear continuous-time systems in strict feedback form with uncertain dynamics by using neural networks (NNs). The method employs an actor-critic-based NN back-stepping technique for minimizing a discounted value function along with an identifier to approximate unknown system dynamics that are expressed in augmented form. Novel online weight update laws for the actor and critic NNs are derived by using both the NN identifier and Hamilton-Jacobi-Bellman residual error. A new continual lifelong learning technique utilizing the Fisher Information Matrix via Hamilton-Jacobi-Bellman residual error is introduced to obtain the significance of weights in …
The Thermophysical Properties Of Tco2, Hong Zhong, Jason Lonergan, John S. Mccloy, Scott P. Beckman
The Thermophysical Properties Of Tco2, Hong Zhong, Jason Lonergan, John S. Mccloy, Scott P. Beckman
Materials Science and Engineering Faculty Research & Creative Works
Technetium-99 Is A Highly Radioactive Isotope With A Long Half-Life That Is Common In Nuclear Waste. It Volatizes At A Low Temperature, Which Poses A Significant Challenge To The Clean-Up And Containment Processes. Due To Difficulties In Purifying Technetium Compounds, Their Thermophysical Properties Have Not Been Measured Or Calculated. Here, First Principle Methods Are Used Along With The Quasi Quasi-Harmonic Harmonic Approximation To Compute The Debye Temperature, Volumetric Thermal Expansion Coefficient, Bulk Modulus, And Heat Capacity Of Rutile TcO2 For Temperatures Ranging From 0 To 1500 K And Applied Pressures Ranging From 0 To 255 GPa. The Computed Atomic Structures …
Analyzing Biomedical Datasets With Symbolic Tree Adaptive Resonance Theory, Sasha Petrenko, Daniel B. Hier, Mary A. Bone, Tayo Obafemi-Ajayi, Erik J. Timpson, William E. Marsh, Michael Speight, Donald C. Wunsch
Analyzing Biomedical Datasets With Symbolic Tree Adaptive Resonance Theory, Sasha Petrenko, Daniel B. Hier, Mary A. Bone, Tayo Obafemi-Ajayi, Erik J. Timpson, William E. Marsh, Michael Speight, Donald C. Wunsch
Chemistry Faculty Research & Creative Works
Biomedical Datasets Distill Many Mechanisms Of Human Diseases, Linking Diseases To Genes And Phenotypes (Signs And Symptoms Of Disease), Genetic Mutations To Altered Protein Structures, And Altered Proteins To Changes In Molecular Functions And Biological Processes. It Is Desirable To Gain New Insights From These Data, Especially With Regard To The Uncovering Of Hierarchical Structures Relating Disease Variants. However, Analysis To This End Has Proven Difficult Due To The Complexity Of The Connections Between Multi-Categorical Symbolic Data. This Article Proposes Symbolic Tree Adaptive Resonance Theory (START), With Additional Supervised, Dual-Vigilance (DV-START), And Distributed Dual-Vigilance (DDV-START) Formulations, For The Clustering Of …
Reflections On Linear B, (Part 2): More On A Possible Egyptian Hieroglyphic Component, Gerald Leonard Cohen
Reflections On Linear B, (Part 2): More On A Possible Egyptian Hieroglyphic Component, Gerald Leonard Cohen
Arts, Languages and Philosophy Faculty Research & Creative Works
No abstract provided.
Comprehensive Numerical Modeling Of Prestressed Girder Bridges Under Low-Velocity Impact, Mohamed T. Elshazli, Mohanad M. Abdulazeez, Mohamed Elgawady, Ahmed Ibrahim
Comprehensive Numerical Modeling Of Prestressed Girder Bridges Under Low-Velocity Impact, Mohamed T. Elshazli, Mohanad M. Abdulazeez, Mohamed Elgawady, Ahmed Ibrahim
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Accidental Collisions Involving Over-Height Trucks That Exceed Vertical Clearance Limits And Bridge Superstructures Frequently Happen, Resulting In Compromised Girders And Potential Threats To Structural Safety And Performance. The Numerical Simulation Of Large-Scale Prestressed Girder Bridge Collisions Poses Challenges Due To The Associated Nonlinearities, As Well As The Limited Availability Of Large-Scale Experimental Testing Data In The Literature Due To Cost And Complexity Constraints. This Study Introduces A Numerical Modeling Approach To Efficiently Capture The Response Of Prestressed Girder Bridges Under Lateral Impact Loads. A Finite Element (FE) Model Was Developed Using LS-DYNA And Meticulously Validated Against Experimental Data From The …
Natural Gas Induced Vegetation Stress Identification And Discrimination From Hyperspectral Imaging For Pipeline Leakage Detection, Pengfei Ma, Ying Zhuo, Genda Chen, Joel G. Burken
Natural Gas Induced Vegetation Stress Identification And Discrimination From Hyperspectral Imaging For Pipeline Leakage Detection, Pengfei Ma, Ying Zhuo, Genda Chen, Joel G. Burken
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Remote Sensing Detection of Natural Gas Leaks Remains Challenging When using Ground Vegetation Stress to Detect Underground Pipeline Leaks. Other Natural Stressors May Co-Present and Complicate Gas Leak Detection. This Study Explores the Feasibility of Identifying and Distinguishing Gas-Induced Stress from Other Natural Stresses by Analyzing the Hyperspectral Reflectance of Vegetation. the Effectiveness of This Discrimination is Assessed Across Three Distinct Spectral Ranges (VNIR, SWIR, and Full Spectra). Greenhouse Experiments Subjected Three Plant Species to Controlled Environmental Stressors, Including Gas Leakage, Salinity Impact, Heavy-Metal Contamination, and Drought Exposure. Spectral Curves Obtained from the Experiments Underwent Preprocessing Techniques Such as Standard …
Technical Note: Generalizable And Promptable Artificial Intelligence Model To Augment Clinical Delineation In Radiation Oncology, Lian Zhang, Zhengliang Liu, Lu Zhang, Zihao Wu, Xiaowei Yu, Jason Holmes, Hongying Feng, Haixing Dai, Xiang Li, Quanzheng Li, William W. Wong, Sujay A. Vora, Dajiang Zhu, Tianming Liu, Wei Liu
Technical Note: Generalizable And Promptable Artificial Intelligence Model To Augment Clinical Delineation In Radiation Oncology, Lian Zhang, Zhengliang Liu, Lu Zhang, Zihao Wu, Xiaowei Yu, Jason Holmes, Hongying Feng, Haixing Dai, Xiang Li, Quanzheng Li, William W. Wong, Sujay A. Vora, Dajiang Zhu, Tianming Liu, Wei Liu
Computer Science Faculty Research & Creative Works
Background: Efficient and accurate delineation of organs at risk (OARs) is a critical procedure for treatment planning and dose evaluation. Deep learning-based auto-segmentation of OARs has shown promising results and is increasingly being used in radiation therapy. However, existing deep learning-based auto-segmentation approaches face two challenges in clinical practice: generalizability and human-AI interaction. A generalizable and prompt able auto-segmentation model, which segments OARs of multiple disease sites simultaneously and supports on-the-fly human-AI interaction, can significantly enhance the efficiency of radiation therapy treatment planning. Purpose: Meta's segment anything model (SAM) was proposed as a generalizable and prompt able model for next-generation …