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Articles 1 - 30 of 36
Full-Text Articles in Engineering
Ethical Implications Of Ai-Based Algorithms In Recruiting Processes: A Study Of Civil Rights Violations Under Title Vii And The Americans With Disabilities Act, Vanessa Rodriguez
Ethical Implications Of Ai-Based Algorithms In Recruiting Processes: A Study Of Civil Rights Violations Under Title Vii And The Americans With Disabilities Act, Vanessa Rodriguez
Cyber Operations and Resilience Program Graduate Projects
This research paper analyzes the ethical implications of utilizing artificial intelligence, specifically AI-based algorithms in business selection and recruiting processes, with a focus on potential violations under Title VII of the Civil Rights Act of 1964 and Title 1 of the Americans with Disabilities Act (ADA). Amazon’s attempt at launching AI recruiting tools is examined. This paper will assess the fairness of AI recruiting practices, considering data collection, potential biases, and accuracy concerns in its implementation process. Additionally, the paper will provide an overview of federal civil rights statutes enforced by the U.S. Equal Employment Opportunity Commission (EEOC) and recent …
Automation Complacency On Humans And Cyber-Physical Systems In The Energy Sector, Shannon Olaveson
Automation Complacency On Humans And Cyber-Physical Systems In The Energy Sector, Shannon Olaveson
Cyber Operations and Resilience Program Graduate Projects
Cyber-physical systems (CPS) and the Industrial Internet of Things (IoT) enable industrial systems and technology to work together to achieve increased connectivity and operational efficiency through the use of automation. Because automation requires less human interaction to run industrial tasks, a reliance may form on this integration to take over an otherwise manual process. This reliance can cause human behavior to affect operational safety and security, leading to unintentional outcomes or vulnerable areas of adversarial opportunity. The energy sector is one of the most critical infrastructure areas becoming a part of the rise to automation, resourcing gas, oil, and electricity …
Statistical And Deep Learning Models For Reference Evapotranspiration Time Series Forecasting: A Comparison Of Accuracy, Complexity, And Data Efficiency, Arman Ahmadi, Andre Daccache, Mojtaba Sadegh, Richard L. Snyder
Statistical And Deep Learning Models For Reference Evapotranspiration Time Series Forecasting: A Comparison Of Accuracy, Complexity, And Data Efficiency, Arman Ahmadi, Andre Daccache, Mojtaba Sadegh, Richard L. Snyder
Civil Engineering Faculty Publications and Presentations
Reference evapotranspiration (ETo) is an essential variable in agricultural water resources management and irrigation scheduling. An accurate and reliable forecast of ETo facilitates effective decision-making in agriculture. Although numerous studies assessed various methodologies for ETo forecasting, an in-depth multi-dimensional analysis evaluating different aspects of these methodologies is missing. This study systematically evaluates the complexity, computational cost, data efficiency, and accuracy of ten models that have been used or could potentially be used for ETo forecasting. These models range from well-known statistical forecasting models like seasonal autoregressive integrated moving average (SARIMA) to state-of-the-art deep learning (DL) algorithms like temporal fusion transformer …
Pursuing Excitonic Energy Transfer With Programmable Dna-Based Optical Breadboards, Divita Mathur, Sebastián A. Díaz, Niko Hildebrandt, Ryan D. Pensack, Bernard Yurke, Austin Biaggne, Lan Li, Joseph S. Melinger, Mario G. Ancona, William B. Knowlton, Igor L. Medintz
Pursuing Excitonic Energy Transfer With Programmable Dna-Based Optical Breadboards, Divita Mathur, Sebastián A. Díaz, Niko Hildebrandt, Ryan D. Pensack, Bernard Yurke, Austin Biaggne, Lan Li, Joseph S. Melinger, Mario G. Ancona, William B. Knowlton, Igor L. Medintz
Materials Science and Engineering Faculty Publications and Presentations
DNA nanotechnology has now enabled the self-assembly of almost any prescribed 3-dimensional nanoscale structure in large numbers and with high fidelity. These structures are also amenable to site-specific modification with a variety of small molecules ranging from drugs to reporter dyes. Beyond obvious application in biotechnology, such DNA structures are being pursued as programmable nanoscale optical breadboards where multiple different/identical fluorophores can be positioned with sub-nanometer resolution in a manner designed to allow them to engage in multistep excitonic energy-transfer (ET) via Förster resonance energy transfer (FRET) or other related processes. Not only is the ability to create such complex …
Exciton Delocalization In A Fully Synthetic Dna-Templated Bacteriochlorin Dimer, Olga A. Mass, Devan R. Watt, Lance K. Patten, Ryan D. Pensack, Jeunghoon Lee, Daniel B. Turner, Bernard Yurke, William B. Knowlton
Exciton Delocalization In A Fully Synthetic Dna-Templated Bacteriochlorin Dimer, Olga A. Mass, Devan R. Watt, Lance K. Patten, Ryan D. Pensack, Jeunghoon Lee, Daniel B. Turner, Bernard Yurke, William B. Knowlton
Materials Science and Engineering Faculty Publications and Presentations
A bacteriochlorophyll a (Bchla) dimer is a basic functional unit in the LH1 and LH2 photosynthetic pigment–protein antenna complexes of purple bacteria, where an ordered, close arrangement of Bchla pigments—secured by noncovalent bonding to a protein template—enables exciton delocalization at room temperature. Stable and tunable synthetic analogs of this key photosynthetic subunit could lead to facile engineering of exciton-based systems such as in artificial photosynthesis, organic optoelectronics, and molecular quantum computing. Here, using a combination of synthesis and theory, we demonstrate that exciton delocalization can be achieved in a dimer of a synthetic bacteriochlorin (BC …
Generation Of Dna Oligomers With Similar Chemical Kinetics Via In-Silico Optimization, Michael Tobiason, Bernard Yurke, William L. Hughes
Generation Of Dna Oligomers With Similar Chemical Kinetics Via In-Silico Optimization, Michael Tobiason, Bernard Yurke, William L. Hughes
Electrical and Computer Engineering Faculty Publications and Presentations
Networks of interacting DNA oligomers are useful for applications such as biomarker detection, targeted drug delivery, information storage, and photonic information processing. However, differences in the chemical kinetics of hybridization reactions, referred to as kinetic dispersion, can be problematic for some applications. Here, it is found that limiting unnecessary stretches of Watson-Crick base pairing, referred to as unnecessary duplexes, can yield exceptionally low kinetic dispersions. Hybridization kinetics can be affected by unnecessary intra-oligomer duplexes containing only 2 base-pairs, and such duplexes explain up to 94% of previously reported kinetic dispersion. As a general design rule, it is recommended that unnecessary …
Loading Direction Dependence Of Asymmetric Response Of < C+A > Pyramidal Slip In Rolled Az31 Magnesium Alloy, Yuzhi Zhu, Dewen Hou, Kaixuan Chen, Zidong Wang
Loading Direction Dependence Of Asymmetric Response Of < C+A > Pyramidal Slip In Rolled Az31 Magnesium Alloy, Yuzhi Zhu, Dewen Hou, Kaixuan Chen, Zidong Wang
Materials Science and Engineering Faculty Publications and Presentations
No abstract provided.
Heterostructure Engineering In Electrode Materials For Sodium-Ion Batteries: Recent Progress And Perspectives, Eric Gabriel, Chunrong Ma, Kincaid Graff, Angel Conrado, Dewen Hou, Hui Xiong
Heterostructure Engineering In Electrode Materials For Sodium-Ion Batteries: Recent Progress And Perspectives, Eric Gabriel, Chunrong Ma, Kincaid Graff, Angel Conrado, Dewen Hou, Hui Xiong
Materials Science and Engineering Faculty Publications and Presentations
Sodium-ion batteries (SIBs) have stepped into the spotlight as a promising alternative to lithium-ion batteries for large-scale energy storage systems. However, SIB electrode materials, in general, have inferior performance than their lithium counterparts because Na+ is larger and heavier than Li+. Heterostructure engineering is a promising strategy to overcome this intrinsic limitation and achieve practical SIBs. We provide a brief review of recent progress in heterostructure engineering of electrode materials and research on how the phase interface influences Na+ storage and transport properties. Efficient strategies for the design and fabrication of heterostructures (in situ methods) …
High-Sensitivity Electronic Stark Spectrometer Featuring A Laser-Driven Light Source, J. S. Huff, K. M. Duncan, C. J. Van Galen, M. S. Barclay, W. B. Knowlton, B. Yurke, P. H. Davis, D. B. Turner, R. J. Stanley, R. D. Pensack
High-Sensitivity Electronic Stark Spectrometer Featuring A Laser-Driven Light Source, J. S. Huff, K. M. Duncan, C. J. Van Galen, M. S. Barclay, W. B. Knowlton, B. Yurke, P. H. Davis, D. B. Turner, R. J. Stanley, R. D. Pensack
Materials Science and Engineering Faculty Publications and Presentations
We report developmental details of a high-sensitivity Stark absorption spectrometer featuring a laser-driven light source. The light source exhibits intensity fluctuations of ∼0.3% over timescales ranging from 1 min to 12 h, minimal drift (≤ 0.1%/h), and very little 1/f noise at frequencies greater than 200 Hz, which are comparable to or better than an arc-driven light source. Additional features of the spectrometer include balanced detection with multiplex sampling, which yielded lower noise in A, and constant wavelength or wavenumber (energy) spectral bandpass modes. We achieve noise amplitudes of ∼7 × 10−4 and ∼6 × 10−6 …
Social Vulnerability Of The People Exposed To Wildfires In U.S. West Coast States, Arash Modaresi Rad, John T. Abatzoglou, Erica Fleishman, Miranda H. Mockrin, Volker C. Radeloff, Yavar Pourmohamad, Megan Cattau, J. Michael Johnson, Philip Higuera, Nicholas J. Nauslar, Mojtaba Sadegh
Social Vulnerability Of The People Exposed To Wildfires In U.S. West Coast States, Arash Modaresi Rad, John T. Abatzoglou, Erica Fleishman, Miranda H. Mockrin, Volker C. Radeloff, Yavar Pourmohamad, Megan Cattau, J. Michael Johnson, Philip Higuera, Nicholas J. Nauslar, Mojtaba Sadegh
Civil Engineering Faculty Publications and Presentations
Understanding of the vulnerability of populations exposed to wildfires is limited. We used an index from the U.S. Centers for Disease Control and Prevention to assess the social vulnerability of populations exposed to wildfire from 2000–2021 in California, Oregon, and Washington, which accounted for 90% of exposures in the western United States. The number of people exposed to fire from 2000–2010 to 2011–2021 increased substantially, with the largest increase, nearly 250%, for people with high social vulnerability. In Oregon and Washington, a higher percentage of exposed people were highly vulnerable (>40%) than in California (~8%). Increased social vulnerability of …
Correlative Imaging Of Three-Dimensional Cell Culture On Opaque Bioscaffolds For Tissue Engineering Applications, Mone’T Sawyer, Josh Eixenberger, Olivia Nielson, Jacob Manzi, Cadré Francis, Raquel Montenegro-Brown, Harish Subbaraman, David Estrada
Correlative Imaging Of Three-Dimensional Cell Culture On Opaque Bioscaffolds For Tissue Engineering Applications, Mone’T Sawyer, Josh Eixenberger, Olivia Nielson, Jacob Manzi, Cadré Francis, Raquel Montenegro-Brown, Harish Subbaraman, David Estrada
Materials Science and Engineering Faculty Publications and Presentations
Three-dimensional (3D) tissue engineering (TE) is a prospective treatment that can be used to restore or replace damaged musculoskeletal tissues, such as articular cartilage. However, current challenges in TE include identifying materials that are biocompatible and have properties that closely match the mechanical properties and cellular microenvironment of the target tissue. Visualization and analysis of potential 3D porous scaffolds as well as the associated cell growth and proliferation characteristics present additional problems. This is particularly challenging for opaque scaffolds using standard optical imaging techniques. Here, we use graphene foam (GF) as a 3D porous biocompatible substrate, which is scalable, reproducible, …
Investigation Of Deformation Behavior Of Additively Manufactured Aisi 316l Stainless Steel With In Situ Micro-Compression Testing, Fei Teng, Ching-Heng Shiau, Cheng Sun, Robert C. O'Brien, Michael D. Mcmurtrey
Investigation Of Deformation Behavior Of Additively Manufactured Aisi 316l Stainless Steel With In Situ Micro-Compression Testing, Fei Teng, Ching-Heng Shiau, Cheng Sun, Robert C. O'Brien, Michael D. Mcmurtrey
Materials Science and Engineering Faculty Publications and Presentations
Additive manufacturing techniques are being used more and more to perform the precise fabrication of engineering components with complex geometries. The heterogeneity of additively manufactured microstructures deteriorates the mechanical integrity of products. In this paper, we printed AISI 316L stainless steel using the additive manufacturing technique of laser metal deposition. Both single-phase and dual-phase substructures were formed in the grain interiors. Electron backscatter diffraction and energy-dispersive X-ray spectroscopy indicate that Si, Mo, S, Cr were enriched, while Fe was depleted along the substructure boundaries. In situ micro-compression testing was performed at room temperature along the [001] orientation. The dual-phase substructures …
Shrinkage And Consolidation Characteristics Of Chitosan-Amended Soft Soil: A Sustainable Alternate Landfill Liner Material, Romana Mariyam Rasheed, Arif Ali Baig Moghal, Sai Sampreeth Reddy Jannepally, Ateekh Ur Rehman, Bhaskar C. S. Chittoori
Shrinkage And Consolidation Characteristics Of Chitosan-Amended Soft Soil: A Sustainable Alternate Landfill Liner Material, Romana Mariyam Rasheed, Arif Ali Baig Moghal, Sai Sampreeth Reddy Jannepally, Ateekh Ur Rehman, Bhaskar C. S. Chittoori
Civil Engineering Faculty Publications and Presentations
Kuttanad is a region that lies in the southwest part of Kerala, India, and possesses soft soil, which imposes constraints on many civil engineering applications owing to low shear strength and high compressibility. Chemical stabilizers such as cement and lime have been extensively utilized in the past to address compressibility issues. However, future civilizations will be extremely dependent on the development of sustainable materials and practices such as the use of bio-enzymes, calcite precipitation methods, and biological materials as a result of escalating environmental concerns due to carbon emissions of conventional stabilizers. One such alternative is the utilization of biopolymers. …
Intrinsic And Atomic Layer Etching Enhanced Area-Selective Atomic Layer Deposition Of Molybdenum Disulfide Thin Films, Jake Soares, Wesley Jen, John D. Hues, Drew Lysne, Jesse Wensel, Steven M. Hues, Elton Graugnard
Intrinsic And Atomic Layer Etching Enhanced Area-Selective Atomic Layer Deposition Of Molybdenum Disulfide Thin Films, Jake Soares, Wesley Jen, John D. Hues, Drew Lysne, Jesse Wensel, Steven M. Hues, Elton Graugnard
Materials Science and Engineering Faculty Publications and Presentations
For continual scaling in microelectronics, new processes for precise high volume fabrication are required. Area-selective atomic layer deposition (ASALD) can provide an avenue for self-aligned material patterning and offers an approach to correct edge placement errors commonly found in top-down patterning processes. Two-dimensional transition metal dichalcogenides also offer great potential in scaled microelectronic devices due to their high mobilities and few-atom thickness. In this work, we report ASALD of MoS2 thin films by deposition with MoF6 and H2S precursor reactants. The inherent selectivity of the MoS2 atomic layer deposition (ALD) process is demonstrated by growth …
Machine Learning-Enabled Regional Multi-Hazards Risk Assessment Considering Social Vulnerability, Tianjie Zhang, Donglei Wang, Yang Lu
Machine Learning-Enabled Regional Multi-Hazards Risk Assessment Considering Social Vulnerability, Tianjie Zhang, Donglei Wang, Yang Lu
Civil Engineering Faculty Publications and Presentations
The regional multi-hazards risk assessment poses difficulties due to data access challenges, and the potential interactions between multi-hazards and social vulnerability. For better natural hazards risk perception and preparedness, it is important to study the nature-hazards risk distribution in different areas, specifically a major priority in the areas of high hazards level and social vulnerability. We propose a multi-hazards risk assessment method which considers social vulnerability into the analyzing and utilize machine learning-enabled models to solve this issue. The proposed methodology integrates three aspects as follows: (1) characterization and mapping of multi-hazards (Flooding, Wildfires, and Seismic) using five machine learning …
Leveraging Steric Moieties For Kinetic Control Of Dna Strand Displacement Reactions, Drew Lysne, Tim Hachigian, Chris Thachuk, Jeunghoon Lee, Elton Graugnard
Leveraging Steric Moieties For Kinetic Control Of Dna Strand Displacement Reactions, Drew Lysne, Tim Hachigian, Chris Thachuk, Jeunghoon Lee, Elton Graugnard
Materials Science and Engineering Faculty Publications and Presentations
DNA strand displacement networks are a critical part of dynamic DNA nanotechnology and are proven primitives for implementing chemical reaction networks. Precise kinetic control of these networks is important for their use in a range of applications. Among the better understood and widely leveraged kinetic properties of these networks are toehold sequence, length, composition, and location. While steric hindrance has been recognized as an important factor in such systems, a clear understanding of its impact and role is lacking. Here, a systematic investigation of steric hindrance within a DNA toehold-mediated strand displacement network was performed through tracking kinetic reactions of …
Thermomechanical Properties Of Neutron Irradiated Al3Hf-Al Thermal Neutron Absorber Materials, Donna Post Guillen, Mychailo B. Toloczko, Ramprashad Prabhakaran, Yuanyuan Zhu, Yu Lu, Yaqiao Wu
Thermomechanical Properties Of Neutron Irradiated Al3Hf-Al Thermal Neutron Absorber Materials, Donna Post Guillen, Mychailo B. Toloczko, Ramprashad Prabhakaran, Yuanyuan Zhu, Yu Lu, Yaqiao Wu
CAES Energy Policy Institute Faculty Publications and Presentations
A thermal neutron absorber material composed of Al3Hf particles in an aluminum matrix is under development for the Advanced Test Reactor. This metal matrix composite was fabricated via hot pressing of high-purity aluminum and micrometer-size Al3Hf powders at volume fractions of 20.0, 28.4, and 36.5%. Room temperature tensile and hardness testing of unirradiated specimens revealed a linear relationship between volume fraction and strength, while the tensile data showed a strong decrease in elongation between the 20 and 36.5% volume fraction materials. Tensile tests conducted at 200 °C on unirradiated material revealed similar trends. Evaluations were then …
Computational Comparison Of Medializing Tibial Tubercle Osteotomy And Trochleoplasty In Patients With Trochlear Dysplasia, Clare K. Fitzpatrick, Robert N. Steensen, Oliver Alvarez, Amy E. Holcomb, Paul J. Rullkoetter
Computational Comparison Of Medializing Tibial Tubercle Osteotomy And Trochleoplasty In Patients With Trochlear Dysplasia, Clare K. Fitzpatrick, Robert N. Steensen, Oliver Alvarez, Amy E. Holcomb, Paul J. Rullkoetter
Mechanical and Biomedical Engineering Faculty Publications and Presentations
Medial patellofemoral ligament reconstruction (MPFLR) has emerged as the procedure of choice for recurrent patellar dislocation. This addresses soft tissue injury but does not address underlying anatomic factors, including trochlear dysplasia, that are commonly present and increase risk of dislocation. Quantification of the stability offered by other surgical interventions, namely, medializing tibial tubercle osteotomy (mTTO) and trochleoplasty, with and without MPFLR, may provide insight for surgical choices in patients with trochlear dysplasia. We developed subject-specific finite element models based on magnetic resonance scans from a cohort of 20 patients with trochlear dysplasia and recurrent patellar dislocation. The objectives of this …
Unveiling The Digital Shadows: Cybersecurity And The Art Of Digital Forensics, Derek Beardall
Unveiling The Digital Shadows: Cybersecurity And The Art Of Digital Forensics, Derek Beardall
Cyber Operations and Resilience Program Graduate Projects
This paper navigates the symbiotic relationship between cybersecurity and digital forensics, exploring the profound role of digital forensic methodologies in addressing cyber incidents. Beginning with foundational definitions and historical evolution, this study delves into diverse types of methodologies and their applications across law enforcement and cybersecurity domains. The mechanics of cyber incident response illuminates the strategic orchestration of digital forensic methodologies. Amidst triumphs, challenges emerge from the shadows: swift threat evolution, digital ecosystem complexity, standardization gaps, resource limitations, and legal intricacies. Best practices guide experts through this intricate terrain, culminating in an enhanced understanding of the inseparable bond between cybersecurity …
A Review Of Solar Hybrid Photovoltaic-Thermal (Pv-T) Collectors And Systems, Todd Otanicar
A Review Of Solar Hybrid Photovoltaic-Thermal (Pv-T) Collectors And Systems, Todd Otanicar
Mechanical and Biomedical Engineering Faculty Publications and Presentations
In this paper, we provide a comprehensive overview of the state-of-the-art in hybrid PV-T collectors and the wider systems within which they can be implemented, and assess the worldwide energy and carbon mitigation potential of these systems. We cover both experimental and computational studies, identify opportunities for performance enhancement, pathways for collector innovation, and implications of their wider deployment at the solar-generation system level. First, we classify and review the main types of PV-T collectors, including air-based, liquid-based, dual air–water, heat-pipe, building integrated and concentrated PV-T collectors. This is followed by a presentation of performance enhancement opportunities and pathways for …
Catalyzed Oxidation Of Ig-110 Nuclear Graphite By Simulated Fission Products Ag And Pd Nanoparticles, Junhua Jiang, John Stempien, Yaqiao Wu
Catalyzed Oxidation Of Ig-110 Nuclear Graphite By Simulated Fission Products Ag And Pd Nanoparticles, Junhua Jiang, John Stempien, Yaqiao Wu
Materials Science and Engineering Faculty Publications and Presentations
To evaluate the stability of nuclear materials in high temperature gas reactors under air ingress conditions, catalytic oxidation of IG-110 graphite by two simulated fission products, metallic Pd and Ag, was studied in oxidative atmosphere and at temperatures up to 1000 °C using an integrated furnace, mass spectroscopy and infrared spectroscopy system. Transmission electron microscopy and X-ray diffraction studies show that Pd and Ag nanoparticles were successfully introduced onto powdery IG-110 graphite through an impregnation and subsequent heat-treatment process. The combined mass spectroscopy and infrared spectroscopy methods allow simultaneous analysis of two gaseous products, CO and CO2, and …
Mechanical Testing Data From Neutron Irradiations Of Pm-Hip And Conventionally Manufactured Nuclear Structural Alloys, Yaqiao Wu
Materials Science and Engineering Faculty Publications and Presentations
This article presents the comprehensive mechanical testing data archive from a neutron irradiation campaign of nuclear structural alloys fabricated by powder metallurgy with hot isostatic pressing (PM-HIP). The irradiation campaign was designed to facilitate a direct comparison of PM-HIP to conventional casting or forging. Five common nuclear structural alloys were included in the campaign: 316L stainless steel, SA508 pressure vessel steel, Grade 91 ferritic steel, and Ni-base alloys 625 and 690. Irradiations were carried out in the Advanced Test Reactor (ATR) at Idaho National Laboratory (INL) to target doses of 1 and 3 displacements per atom (dpa) at target temperatures …
Decoding The Hydrodynamic Properties Of Microscale Helical Propellers From Brownian Fluctuations, Bernard Yurke
Decoding The Hydrodynamic Properties Of Microscale Helical Propellers From Brownian Fluctuations, Bernard Yurke
Materials Science and Engineering Faculty Publications and Presentations
The complex motility of bacteria, ranging from single-swimmer behaviors such as chemotaxis to collective dynamics, including biofilm formation and active matter phenomena, is driven by their microscale propellers. Despite extensive study of swimming flagellated bacteria, the hydrodynamic properties of their helical-shaped propellers have never been directly measured. The primary challenges to directly studying microscale propellers are 1) their small size and fast, correlated motion, 2) the necessity of controlling fluid flow at the microscale, and 3) isolating the influence of a single propeller from a propeller bundle. To solve the outstanding problem of characterizing the hydrodynamic properties of these propellers, …
Investigation Of Degradation Of Solar Photovoltaics: A Review Of Aging Factors, Impacts, And Future Directions Toward Sustainable Energy Management, Eklas Hossain
Electrical and Computer Engineering Faculty Publications and Presentations
The degradation of solar photovoltaic (PV) modules is caused by a number of factors that have an impact on their effectiveness, performance, and lifetime. One of the reasons contributing to the decline in solar PV performance is the aging issue. This study comprehensively examines the effects and difficulties associated with aging and degradation in solar PV applications. In light of this, this article examines and analyzes many aging factors, including temperature, humidity, dust, discoloration, cracks, and delamination. Additionally, the effects of aging factors on solar PV performance, including the lifetime, efficiency, material degradation, overheating, and mismatching, are critically investigated. Furthermore, …
Improvements To Passive Fingerprinting Of Operational Technology Environments, Lawrence Wellman
Improvements To Passive Fingerprinting Of Operational Technology Environments, Lawrence Wellman
Cyber Operations and Resilience Program Graduate Projects
This paper explores the effectiveness of three network tools for analyzing network traffic and highlights their reliance on network ports to fingerprint TCP and UDP network protocols. Considering this limitation, the paper introduces protoDetect, a novel tool demonstrating a possible solution for identifying Operational Technology (OT) network protocols.
Engineering Cell–Ecm–Material Interactions For Musculoskeletal Regeneration, Calvin L. Jones, Brian T. Penney, Sophia K. Theodossiou
Engineering Cell–Ecm–Material Interactions For Musculoskeletal Regeneration, Calvin L. Jones, Brian T. Penney, Sophia K. Theodossiou
Mechanical and Biomedical Engineering Faculty Publications and Presentations
The extracellular microenvironment regulates many of the mechanical and biochemical cues that direct musculoskeletal development and are involved in musculoskeletal disease. The extracellular matrix (ECM) is a main component of this microenvironment. Tissue engineered approaches towards regenerating muscle, cartilage, tendon, and bone target the ECM because it supplies critical signals for regenerating musculoskeletal tissues. Engineered ECM–material scaffolds that mimic key mechanical and biochemical components of the ECM are of particular interest in musculoskeletal tissue engineering. Such materials are biocompatible, can be fabricated to have desirable mechanical and biochemical properties, and can be further chemically or genetically modified to support cell …
Finite Element Modeling Of Meniscal Tears Using Continuum Damage Mechanics And Digital Image Correlation, Derek Q. Nesbitt, Dylan E. Burruel, Bradley S. Henderson, Trevor J. Lujan
Finite Element Modeling Of Meniscal Tears Using Continuum Damage Mechanics And Digital Image Correlation, Derek Q. Nesbitt, Dylan E. Burruel, Bradley S. Henderson, Trevor J. Lujan
Mechanical and Biomedical Engineering Faculty Publications and Presentations
Meniscal tears are a common, painful, and debilitating knee injury with limited treatment options. Computational models that predict meniscal tears may help advance injury prevention and repair, but first these models must be validated using experimental data. Here we simulated meniscal tears with finite element analysis using continuum damage mechanics (CDM) in a transversely isotropic hyperelastic material. Finite element models were built to recreate the coupon geometry and loading conditions of forty uniaxial tensile experiments of human meniscus that were pulled to failure either parallel or perpendicular to the preferred fiber orientation. Two damage criteria were evaluated for all experiments: …
Effect Of Substituent Location On The Relationship Between The Transition Dipole Moments, Difference Static Dipole, And Hydrophobicity In Squaraine Dyes For Quantum Information Devices, Maia Ketteridge, Austin Biaggne, Ryan Rau, German Barcenas, Olga A. Mass, William B. Knowlton, Bernard Yurke, Lan Li
Effect Of Substituent Location On The Relationship Between The Transition Dipole Moments, Difference Static Dipole, And Hydrophobicity In Squaraine Dyes For Quantum Information Devices, Maia Ketteridge, Austin Biaggne, Ryan Rau, German Barcenas, Olga A. Mass, William B. Knowlton, Bernard Yurke, Lan Li
Materials Science and Engineering Faculty Publications and Presentations
Aggregates of organic dyes that exhibit excitonic coupling have a wide array of applications, including medical imaging, organic photovoltaics, and quantum information devices. The optical properties of a dye monomer, as a basis of dye aggregate, can be modified to strengthen excitonic coupling. Squaraine (SQ) dyes are attractive for those applications due to their strong absorbance peak in the visible range. While the effects of substituent types on the optical properties of SQ dyes have been previously examined, the effects of various substituent locations have not yet been investigated. In this study, density functional theory (DFT) and time-dependent density functional …
Closed-Loop Recyclable Plastics From Poly(Ethyl Cyanoacrylate), Allison J. Christy, Scott T. Phillips
Closed-Loop Recyclable Plastics From Poly(Ethyl Cyanoacrylate), Allison J. Christy, Scott T. Phillips
Materials Science and Engineering Faculty Publications and Presentations
Ethyl cyanoacrylate is a highly reactive monomer that has been used nearly exclusively to make Super Glue and related fast-setting adhesives. Here, we describe transformation of this highly abundant, readily available monomer into a closed-loop recyclable plastic that could supplant currently used (and often unrecycled/unrecyclable) plastics, such as poly(styrene). We report polymerization conditions, plastic-processing methods, and plastic-recycling protocols for poly(ethyl cyanoacrylate) plastics that make the Super Glue monomer a viable starting material for a next generation of closed-loop recyclable plastics. The processes described are scalable, and the plastics can be recycled in a closed-loop process with >90% yields, even when …
Application Of Connected Vehicle Data To Assess Safety On Roadways, Mandar Khanal, Nathaniel Edelmann
Application Of Connected Vehicle Data To Assess Safety On Roadways, Mandar Khanal, Nathaniel Edelmann
Civil Engineering Faculty Publications and Presentations
Using surrogate safety measures is a common method to assess safety on roadways. Surrogate safety measures allow for proactive safety analysis; the analysis is performed prior to crashes occurring. This allows for safety improvements to be implemented proactively to prevent crashes and the associated injuries and property damage. Existing surrogate safety measures primarily rely on data generated by microsimulations, but the advent of connected vehicles has allowed for the incorporation of data from actual cars into safety analysis with surrogate safety measures. In this study, commercially available connected vehicle data are used to develop crash prediction models for crashes at …