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Articles 2941 - 2970 of 75044
Full-Text Articles in Engineering
The Interplay Between Endothelial Glycocalyx Maturity And Both The Toxicity And Intracellular Uptake Of Charged Nanoparticles, Claire A. Bridges, Lu Fu, Jonathan Yeow, Xiaojing Huang, Miriam Jackson, Rhiannon P. Kuchel, James D. Sterling, Shenda M. Baker, Megan S. Lord
The Interplay Between Endothelial Glycocalyx Maturity And Both The Toxicity And Intracellular Uptake Of Charged Nanoparticles, Claire A. Bridges, Lu Fu, Jonathan Yeow, Xiaojing Huang, Miriam Jackson, Rhiannon P. Kuchel, James D. Sterling, Shenda M. Baker, Megan S. Lord
Business and Information Technology Faculty Research & Creative Works
Nanoparticles are widely studied for delivering treatments to target tissues, but few have reached clinical use. Most nanoparticles encounter blood vessels on their way to target tissues. The inner surface of these vessels is lined with endothelial cells covered by a glycocalyx, an extracellular matrix rich in anionic glycans. The role of the glycocalyx in nanoparticle interactions is not well understood. Here, we demonstrate that endothelial cells need extended culture times to synthesize a mature glycocalyx. Our research shows that branched polyethyleneimine functionalized gold nanoparticles bind to endothelial cells expressing either a developing or mature glycocalyx, with the interaction involving …
Transforming Optical Vernier Effect Into Coherent Microwave Interference Towards Highly Sensitive Optical Fiber Sensing, Ruimin Jie, Jie Huang, Chen Zhu
Transforming Optical Vernier Effect Into Coherent Microwave Interference Towards Highly Sensitive Optical Fiber Sensing, Ruimin Jie, Jie Huang, Chen Zhu
Electrical and Computer Engineering Faculty Research & Creative Works
The optical Vernier effect has garnered significant research attention and found widespread applications in enhancing the measurement sensitivity of optical fiber interferometric sensors. Typically, Vernier sensor interrogation involves measuring its optical spectrum across a wide wavelength range using a high-precision spectrometer. This process is further complicated by the intricate signal processing required for accurately extracting the Vernier envelope, which can inadvertently introduce errors that compromise sensing performance. In this work, we introduce a novel approach to interrogating Vernier sensors based on a coherent microwave interference-assisted measurement technique. Instead of measuring the optical spectrum, we acquire the frequency response of the …
From Flames To Change: An Exploration Of Housing, Fire, And Inequity, Helen Underhill, Charles R. Jennings, Brian Meacham, Danielle Antonellis
From Flames To Change: An Exploration Of Housing, Fire, And Inequity, Helen Underhill, Charles R. Jennings, Brian Meacham, Danielle Antonellis
Publications and Research
Housing and fire safety are deeply connected: inadequate and poorly maintained housing poses heightened fire risk for occupants. An individual or household’s housing situation (including limited or constrained choice) interacts with issues such as affordability, access, location, quality, safety, occupancy levels, tenure type, and resident or immigration status. These dynamics shape vulnerability, and inequity becomes most visible in the event of a fire. The extreme end of this spectrum includes the unhoused, who occupy structures entirely outside of regulatory systems with little or no fire protection.
Ultrasonic Spray Coating Of Carbon Fibers For Composite Cathodes In Structural Batteries, Thomas Burns, Liliana Delatte, Gabriela Roman-Martinez, Kyra Glassey, Paul Ziehl, Monirosadat Sadati, Ralph E. White, Paul T. Coman
Ultrasonic Spray Coating Of Carbon Fibers For Composite Cathodes In Structural Batteries, Thomas Burns, Liliana Delatte, Gabriela Roman-Martinez, Kyra Glassey, Paul Ziehl, Monirosadat Sadati, Ralph E. White, Paul T. Coman
Faculty Publications
Structural batteries, also known as “massless batteries”, integrate energy storage directly into load-bearing materials, offering a transformative alternative to traditional Li-ion batteries. Unlike conventional systems that serve only as energy storage devices, structural batteries replace passive structural components, reducing overall weight while providing mechanical reinforcement. However, achieving uniform and efficient coatings of active materials on carbon fibers remains a major challenge, limiting their scalability and electrochemical performance. This study investigates ultrasonic spray coating as a precise and scalable technique for fabricating composite cathodes in structural batteries. Using a computer-controlled ultrasonic nozzle, this method ensures uniform deposition with minimal material waste …
From A Learning To A Smart Nation: The Rise Of The Digitalization Megatrend And Singapore's Development, Siu Loon Hoe
From A Learning To A Smart Nation: The Rise Of The Digitalization Megatrend And Singapore's Development, Siu Loon Hoe
Research Collection School Of Computing and Information Systems
Purpose: The purpose of this article is to discuss the “learning nation” concept and examine the characteristics and implications of using the “learning” premodifier in this nation-building program. Design/methodology/approach: This article reviews how the “learning” aspect is inter-related to a series of national information and communication technology masterplans and includes a comparative analysis of the related premodifier “smart” as Singapore sets forth its ambition to become a “smart nation” as part of the digitalization megatrend. A print media indicator and Google Trends form part of the methodology to ascertain the rise of digital technology over a certain period. The former …
On Generalization Across Environments In Multi-Objective Reinforcement Learning, Jayden Jing Xiang Teoh, Pradeep Varakantham, Peter Vamplew
On Generalization Across Environments In Multi-Objective Reinforcement Learning, Jayden Jing Xiang Teoh, Pradeep Varakantham, Peter Vamplew
Research Collection School Of Computing and Information Systems
No abstract provided.
Dual Operation Aggregation Graph Neural Networks For Solving Flexible Job-Shop Scheduling Problem With Reinforcement Learning, Peng Zhao, You Zhou, Di Wang, Zhiguang Cao, Yubin Xiao, Xuan Wu, Yuanshu Li, Hongjia Liu, Wei Du, Yuan Jiang, Liupu Wang
Dual Operation Aggregation Graph Neural Networks For Solving Flexible Job-Shop Scheduling Problem With Reinforcement Learning, Peng Zhao, You Zhou, Di Wang, Zhiguang Cao, Yubin Xiao, Xuan Wu, Yuanshu Li, Hongjia Liu, Wei Du, Yuan Jiang, Liupu Wang
Research Collection School Of Computing and Information Systems
With the widespread adoption of Internet Protocol (IP) communication technology and web-based platforms, cloud manufacturing has become a significant hallmark of Industry 4.0. Integrating graph algorithms into these web-enabled environments is crucial as they facilitate the representation and analysis of complex relationships in manufacturing processes, enabling efficient decision-making and adaptability in dynamic environments. As a key scheduling problem in cloud manufacturing, the flexible job-shop scheduling problem (FJSP) finds extensive applications in real-world scenarios. However, traditional FJSP-solving methods struggle to meet the efficiency and adaptability demands of cloud manufacturing due to generalization issues and excessive computational time, while reinforcement learning-based methods …
Learning-Guided Bi-Objective Evolutionary Optimization For Green Municipal Waste Collection Vehicle Routing, Shubing Liao, Yixin Xu, Yunyun Niu, Zhiguang Cao
Learning-Guided Bi-Objective Evolutionary Optimization For Green Municipal Waste Collection Vehicle Routing, Shubing Liao, Yixin Xu, Yunyun Niu, Zhiguang Cao
Research Collection School Of Computing and Information Systems
Waste management has emerged as a critical issue in modern society, where vehicles are scheduled to visit multiple locations for waste collection and transport. This study focuses on a key problem in waste management: route optimization of waste collection vehicles, and formulate it as a bi-objective vehicle routing problem with stochastic demand (VRPSD), aiming to minimizing both total costs and carbon emissions. Although previous studies have significantly advanced our understanding of solving similar problems, the lack of real-world data and limited problem-solving capabilities still restrict the practical applicability of existing methods. To bridge this research gap, this study designed a …
Rutting And Aging Properties Of Recycled Polymer-Modified Pavement Materials, Nuha S. Mashaan, Chathurika Dassanayake
Rutting And Aging Properties Of Recycled Polymer-Modified Pavement Materials, Nuha S. Mashaan, Chathurika Dassanayake
Research outputs 2022 to 2026
Recycled polymer-modified binders have emerged as a sustainable solution for improving the performance and durability of pavement materials. This review examines the rutting and aging properties of pavements modified with recycled polymers, highlighting their potential for sustainable infrastructure development. The incorporation of recycled polymers into bitumen enhances resistance to rutting and aging by improving the binder’s mechanical stability and oxidative durability. Key laboratory techniques, including the rolling thin-film oven test (RTFOT) and the pressure aging vessel (PAV), are evaluated for their effectiveness in assessing the thermal and oxidative aging behavior of modified binders. The review demonstrates that recycled polymers improve …
Photo-Thermal Conversion Properties Of Mxene/Metal-Organic-Frameworks-Based Nanofluids For Solar Energy Harvesting, Seyedeh Zahra Haeri, Ali Dashan, Samira Sadeghi, Mitral Golgoli, Mehdi Khiadani, Bahram Ramezanzadeh, Masoumeh Zargar
Photo-Thermal Conversion Properties Of Mxene/Metal-Organic-Frameworks-Based Nanofluids For Solar Energy Harvesting, Seyedeh Zahra Haeri, Ali Dashan, Samira Sadeghi, Mitral Golgoli, Mehdi Khiadani, Bahram Ramezanzadeh, Masoumeh Zargar
Research outputs 2022 to 2026
This study focuses on enhancing solar energy capture efficiency by introducing innovative hybrid nanofluids for use in solar thermal collectors, whose performance largely depends on the absorption properties of the working fluid. The newly developed hybrid nanofluids, MXene/NH2-UiO66 (Zr) (noted as MX/UO66) and MXene/MIL-88B (Fe) (noted as MX/ML88), were synthesized using an in-situ solvothermal method, combining annealed Ti3C2Tx MXenes with water-stable metal–organic frameworks (MOFs). These nanofluids achieved high efficiency at low concentrations, providing both economic and performance benefits. Comprehensive testing compared the photothermal properties of these hybrids with single-component UO66 and ML88 nanofluids. The MX structures significantly expanded the absorption …
Addressing Reliability Challenges In Generation Capacity Planning Under High Penetration Of Renewable Energy Resources And Storage Solutions: A Review, Taraneh Ghanbarzadeh, Daryoush Habibi, Asma Aziz
Addressing Reliability Challenges In Generation Capacity Planning Under High Penetration Of Renewable Energy Resources And Storage Solutions: A Review, Taraneh Ghanbarzadeh, Daryoush Habibi, Asma Aziz
Research outputs 2022 to 2026
This study offers a comprehensive survey of generation capacity planning from a reliability perspective, considering the influence of renewable resources and energy storage systems. The uncertainties surrounding intermittent resources raise concerns about power system reliability. This has led to the proposal of new assessment and optimization frameworks in generation expansion planning, as evidenced by numerous reports and original research works. In addition to the challenge concerning power system reliability, phenomena such as Dunkelflaute require thorough consideration when planning problems. Furthermore, energy storage systems have emerged as a promising solution to address these challenges. Consequently, numerous researchers have worked on methods …
Hybrid Renewable Multi-Generation System Optimization: Attaining Sustainable Development Goals, Md Shahriar Mohtasim, Barun K. Das, Utpol K. Paul, Md Golam Kibria, Md Sanowar Hossain
Hybrid Renewable Multi-Generation System Optimization: Attaining Sustainable Development Goals, Md Shahriar Mohtasim, Barun K. Das, Utpol K. Paul, Md Golam Kibria, Md Sanowar Hossain
Research outputs 2022 to 2026
The optimization of hybrid renewable multi-generation systems is crucial for enhancing energy efficiency, reducing costs, and ensuring sustainable power generation. These factors can be significantly affected by system designs, optimization methods, climate changes, and varying energy demands. The optimization of a stand-alone hybrid renewable energy system (HRES) that integrates various combinations of electricity, heating, cooling, hydrogen, and freshwater needs has not been reported in a single comprehensive study. Additionally, there has been insufficient attention given to the impact of temporal resolution, the recovery of excess energy usage, and aligning these efforts with the sustainable development goals (SDGs). This study reviews …
Microplastics-Resistant Fo Membranes: Zwitterionic Mof Nanoparticles For Superior Fouling Control, Mitra Golgoli, Mohadeseh Najafi, Javad Farahbakhsh, Mehdi Khiadani, Michael L. Johns, Masoumeh Zargar
Microplastics-Resistant Fo Membranes: Zwitterionic Mof Nanoparticles For Superior Fouling Control, Mitra Golgoli, Mohadeseh Najafi, Javad Farahbakhsh, Mehdi Khiadani, Michael L. Johns, Masoumeh Zargar
Research outputs 2022 to 2026
The increasing contamination of water by microplastics (MPs) underscores the need for efficient tertiary treatments such as forward osmosis (FO). Developing advanced, low-fouling membranes is essential for enhancing FO system effectiveness. This work studies an innovative modification of FO membranes by the incorporation of a synthesized hybrid nanoparticle comprising metal-organic frameworks (MOFs) and sulfobetaine zwitterions into the thin layer of thin-film composite (TFC) membranes. The ZW/MOF (UiO-66-NH2), nanoparticles were synthesized using a post-synthetic free-radical copolymerization method, resulting in a uniform polymer shell around the MOF nanoparticles. The incorporation of ZW/MOF nanoparticles into the membranes enhanced the hydrophilicity of the membranes …
Performance Comparison Of Flat Sheet And Hollow Fibre Air Gap Membrane Distillation: A Mathematical And Simulation Modelling Approach, Hamed Kariman, Hussein A. Mohammed, Masoumeh Zargar, Mehdi Khiadani
Performance Comparison Of Flat Sheet And Hollow Fibre Air Gap Membrane Distillation: A Mathematical And Simulation Modelling Approach, Hamed Kariman, Hussein A. Mohammed, Masoumeh Zargar, Mehdi Khiadani
Research outputs 2022 to 2026
Membrane Distillation (MD) systems could address current challenges related to global water demand. Among MD systems, Air Gap Membrane Distillation (AGMD) systems play crucial roles in addressing this challenge. AGMD systems can be categorized into two main structural groups: flat sheet and hollow fibre forms. It is important to study, analyse, model and compare these two systems under the same operational conditions. In this study, a detailed mathematical model of flat sheet and hollow fibre AGMD modules under the same conditions (i.e., membrane type, membrane area, porosity, and pore radius of membrane) has been introduced. The simulation of system performance …
Vessel Trajectory Prediction With Recurrent Neural Networks: An Evaluation Of Datasets, Features, And Architectures, Isaac Slaughter, Jagir Laxmichand Charla, Martin Siderius, John Lipor
Vessel Trajectory Prediction With Recurrent Neural Networks: An Evaluation Of Datasets, Features, And Architectures, Isaac Slaughter, Jagir Laxmichand Charla, Martin Siderius, John Lipor
Electrical and Computer Engineering Faculty Publications and Presentations
Maritime situational awareness tasks such as port management, collision avoidance, and search-and-rescue missions rely on accurate knowledge of vessel locations. The availability of historical vessel trajectory data through the Automatic Identification System (AIS) has enabled the development of prediction methods, with a recent focus on trajectory prediction via recurrent neural networks (RNNs) and other deep learning architectures. While these methods have shown promising performance benefits over kinematic and clustering-based models, comparing among RNN-based models remains difficult due to variations in evaluation datasets, region sizes, vessel types, and numerous other design choices. As a result, it is not clear whether recent …
Accelerating High-Throughput Phonon Calculations Via Machine Learning Universal Potentials, Huiju Lee, Vinay I. Hegde, Chris Wolverton, Yi Xia
Accelerating High-Throughput Phonon Calculations Via Machine Learning Universal Potentials, Huiju Lee, Vinay I. Hegde, Chris Wolverton, Yi Xia
Mechanical and Materials Engineering Faculty Publications and Presentations
Phonons play a critical role in determining various material properties, but conventional methods for phonon calculations are computationally intensive, limiting their broad applicability. In this study, we present an approach to accelerate high-throughput harmonic phonon calculations using machine learning universal potentials (MLIPs) combined with an efficient training dataset generation strategy. Instead of computing phonon properties from a large number of supercells with small atomic displacements of a single atom, our approach uses a smaller subset of supercell structures where all atoms are randomly displaced by 0.01 to 0.05 UŮ, significantly reducing computational costs. We train a state-of-the-art MLIP based on …
Development Of Prechamber Enabled Mixing-Controlled Combustion Strategy For Ultra-Low Methane Emissions From Lean Burn Natural Gas Engines, Osama Nsaif, Adam Dempsey
Development Of Prechamber Enabled Mixing-Controlled Combustion Strategy For Ultra-Low Methane Emissions From Lean Burn Natural Gas Engines, Osama Nsaif, Adam Dempsey
Mechanical Engineering Faculty Research and Publications
This numerical study explores the optimization of Prechamber Enabled Mixing-Controlled Combustion (PC-MCC) using natural gas in heavy-duty engines, aiming to enhance combustion efficiency to minimize methane slip and NOx emissions. The approach involves a prechamber ignition system, distinct from conventional spark ignition (SI) systems, to initiate combustion of direct injected natural gas. By leveraging the robust ignition characteristics of the prechamber, the PC-MCC method demonstrates significant potential in achieving efficient combustion akin to diesel engines but with lower greenhouse gas emissions. The research evaluates the effects of various geometric and operational parameters on the combustion process and emissions, including prechamber …
U.S. Federal Aviation Administration Safety Management System Regulations: An Informal Policy Evaluation, Brian J. Roggow
U.S. Federal Aviation Administration Safety Management System Regulations: An Informal Policy Evaluation, Brian J. Roggow
Publications
The United States (US) Federal Aviation Administration (FAA) revised 14 CFR § Part 5 Safety Management Systems, effective May 28, 2024. US air carriers have one year to modify their existing Safety Management System (SMS), whereas commuter and on-demand operators, commercial air tour operators, certain production certificate holders, and certain holders of a type certificate must implement an SMS within three years. The sociopolitical and legal rule-making processes are complex. This research evaluates the most recently revised FAA SMS regulations through the lens of prevailing literature, theories, and standard practices. Policy assessments and evaluations by non-governmental stakeholders can further inform …
Model-Predictive Optimal Control Of Ferrofluidic Microrobots In Three-Dimensional Space, E. Olga Skowronek, Luke Silas Baker, Reza Ahmed, Hamid Marvi
Model-Predictive Optimal Control Of Ferrofluidic Microrobots In Three-Dimensional Space, E. Olga Skowronek, Luke Silas Baker, Reza Ahmed, Hamid Marvi
Mechanical Engineering Faculty Publications
Ferrofluid microrobots have emerged as promising tools for minimally invasive medical procedures. Their unique properties to navigate complex fluids and reach otherwise inaccessible regions of the human body have enabled new applications in targeted drug delivery, tissue engineering, and diagnostics. This paper proposes a model-predictive controller for the external magnetic manipulation of ferrofluid microrobots in three dimensions (3D). The internal optimization routine of the controller determines appropriate changes in the applied electromagnetic field to minimize the deviation between the actual and desired trajectories of the microrobot. A linear system governing locomotion is derived and used as the equality constraints of …
Seabed Characterization Using Ambient Sound For A Range-Dependent Track In The New England Mud Patcha, Martin Siderius, Stan E. Dosso, Brian Granger
Seabed Characterization Using Ambient Sound For A Range-Dependent Track In The New England Mud Patcha, Martin Siderius, Stan E. Dosso, Brian Granger
Electrical and Computer Engineering Faculty Publications and Presentations
Wind-generated, ocean ambient sound data were used to characterize seabed properties along a track in the New England Mud Patch. A 15-m vertical array, consisting of 16 hydrophones, collected ambient sound data across the 50–5000 Hz frequency band. The array drifted for 1 h, covering a 1.7 km track. Seabed characterization was performed using beamforming techniques, which limited the analysis to the 400–700 Hz band. Passive fathometer processing was applied to estimate the water–seabed interface and sub-bottom layering. Additionally, the data were used to estimate the power reflection coefficient, which was then used as input for a trans-dimensional geoacoustic inversion. …
Ai, Blockchain, And Autonomous Innovation : Charting The Future Of Intelligent Enterprises, Shubham Gupta
Ai, Blockchain, And Autonomous Innovation : Charting The Future Of Intelligent Enterprises, Shubham Gupta
Harrisburg University Other Works
In today’s digital economy, artificial intelligence (AI) and blockchain are twin forces driving transformative change. AI and blockchain each rose to prominence on their own, but together they hold the promise of revolutionizing how businesses operate and create value. AI systems can analyze massive datasets, automate complex decisions, and even mimic human learning and reasoning. Blockchain technology, on the other hand, enables secure and tamper-proof transactions by distributing records across a network, ensuring transparency and trust without relying on a central authority. The convergence of these technologies is ushering in new possibilities for automation, smarter decision-making, and secure digital transactions …
Framework For Integrating Industry Knowledge Into A Large Language Model To Assist Construction Cost Estimation, Prashnna Ghimire
Framework For Integrating Industry Knowledge Into A Large Language Model To Assist Construction Cost Estimation, Prashnna Ghimire
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
The construction industry generates a large amount of data across projects produced by digital devices, tools, and methods, and this volume is rapidly increasing. However, the industry lags behind in adopting data-driven technologies. On the other hand, the rapid advancement of generative AI (GenAI) in recent years, especially state-of-the-art large language models (LLMs), shows great potential and has been increasingly adopted in many industries; however, the construction industry is behind in adoption. While academic studies have proposed various machine learning applications for construction, industry implementation has lagged due to a disconnect between these proof-of-concept developments and practical industry needs. Also, …
Understanding The Breadth And Impact Of The Ias [Presidents Message], Ayman El-Refaie
Understanding The Breadth And Impact Of The Ias [Presidents Message], Ayman El-Refaie
Electrical and Computer Engineering Faculty Research and Publications
No abstract provided.
Heat-Pipe-Based Thermal Management System Design For A 250 Kw Gan-Based Integrated Modular Motor Drive, Seyed Iman Hosseini Sabzevari, Salar Koushan, Armin Ebrahimian, Towhid Islam Chowdhury, Nathan Weise, Ayman El-Refaie
Heat-Pipe-Based Thermal Management System Design For A 250 Kw Gan-Based Integrated Modular Motor Drive, Seyed Iman Hosseini Sabzevari, Salar Koushan, Armin Ebrahimian, Towhid Islam Chowdhury, Nathan Weise, Ayman El-Refaie
Electrical and Computer Engineering Faculty Research and Publications
Integrated modular motor drive (IMMD) is an effective approach for realizing high-efficiency, high-power-density, and fault-tolerant electric machines. However, designing an efficient thermal management system (TMS) for the motor drive becomes a challenge, particularly due to space constraints. This article presents the design of a TMS based on 3-mm heat pipes for a 250-kW IMMD intended for aviation applications. The power electronics module is simulated using PLECS software where an electrothermal analysis is conducted. A simplified thermal resistance model of the system is developed to estimate the die junction temperature of gallium nitride (GaN) semiconductors. The performance of the proposed TMS …
Revolutionizing Medical Implant Fabrication: Advances In Additive Manufacturing Of Biomedical Metals, Yuhua Li, Deyu Jiang, Rui Zhu, Chengliang Yang, Liqiang Wang, Lai Chang Zhang
Revolutionizing Medical Implant Fabrication: Advances In Additive Manufacturing Of Biomedical Metals, Yuhua Li, Deyu Jiang, Rui Zhu, Chengliang Yang, Liqiang Wang, Lai Chang Zhang
Research outputs 2022 to 2026
Additive manufacturing has emerged as a transformative technology for producing biomedical metals and implants, offering the potential to revolutionize patient care and treatment outcomes. This article reviews the recent advances in additive manufacturing (AM) of biomedical metal implants, especially load-bearing biomedical alloys, biodegradable alloys, novel metals, and 4D printing, whose properties are systematically assessed to facilitate material selection for specific medical applications. The applications of the most cutting-edge artificial intelligence in AM and surface functional modification are also presented. This article also explores the application of AM in various medical specialties, such as orthopedics, dentistry, cardiology, and neurosurgery, demonstrating its …
Activity And Function Of The Endothelial Sodium Channel Is Regulated By The Effector Domain Of Marcks-Like Protein 1 In Mouse Aortic Endothelial Cells, Ling Yu, Niharika Bala, Van-Anh L. Nguyen, Leah Kessler, John F. Ladisa Jr., Abdel A. Alli
Activity And Function Of The Endothelial Sodium Channel Is Regulated By The Effector Domain Of Marcks-Like Protein 1 In Mouse Aortic Endothelial Cells, Ling Yu, Niharika Bala, Van-Anh L. Nguyen, Leah Kessler, John F. Ladisa Jr., Abdel A. Alli
Biomedical Engineering Faculty Research and Publications
Enhanced endothelial sodium channel (EnNaC) functioning causes an increase in vessel stiffness. Here, we investigated the regulation of EnNaC in mouse aortic endothelial cells (mAoECs) by the actin cytoskeleton and lipid raft association protein myristoylated alanine-rich C-kinase substrate-like protein 1 (MLP1). We hypothesized that mutation of specific amino acid residues within the effector domain of MLP1 or loss of association between MLP1 and the anionic phospholipid phosphate PIP2 would significantly alter membrane association and EnNaC activity in mAoECs. mAoECs transiently transfected with a mutant MLP1 construct (three serine residues in the effector domain replaced with aspartate residues) showed a significant …
Design And Fabrication Of Compact Mimo Array Antenna With Tapered Feed Line For 5g Applications, F. Taher, Mohamed Fathy Abo Sree, Hesham A. Mohamed, Hussein Hamed Ghouz, Sarah Yehia Abdel Fatah
Design And Fabrication Of Compact Mimo Array Antenna With Tapered Feed Line For 5g Applications, F. Taher, Mohamed Fathy Abo Sree, Hesham A. Mohamed, Hussein Hamed Ghouz, Sarah Yehia Abdel Fatah
All Works
This paper presents the design, fabrication, measurement, and evaluation of two multiple input multiple output antenna elements (MIMOs) optimized for performance in the 5G frequency band. The MIMO antennas are integrated onto Roger/Druoid 5880 substrates with a dielectric constant of 2.2, housed within a compact volume measuring 20×24.14×0.79mm3. Initially, a thorough parametric study is conducted using the CST Electromagnetic (EM) Simulator to analyze and optimize the antenna's performance according to 5G application requirements. Subsequently, in the antenna design phase, calculations are made for the envelope correlation coefficient (ECC > 0.01dB) and diversity gain (DG > 9.9dB), yielding favorable outcomes. Fabrication and measurement …
High Gain Defected Slots 3d Antenna Structure For Millimetre Applications, Arkan Mousa Majeed, Fatma Taher, Taha A. Elwi, Zaid A. Abdul Hassain, Sherif K. El-Diasty, Mohamed Fathy Abo Sree, Sara Yehia Abdel Fatah, Umi Aisah Asli
High Gain Defected Slots 3d Antenna Structure For Millimetre Applications, Arkan Mousa Majeed, Fatma Taher, Taha A. Elwi, Zaid A. Abdul Hassain, Sherif K. El-Diasty, Mohamed Fathy Abo Sree, Sara Yehia Abdel Fatah, Umi Aisah Asli
All Works
The antenna is structured in three dimensions, employing a conductive cylindrical cone as its base. This cone configuration is achieved through the etching of an elliptical slot array onto the antenna. To enhance its performance, a conductive circular reflector is situated beneath the cone, thereby augmenting its gain. The antenna demonstrates operational bandwidth across various frequencies: Ultra-Wideband (UWB) operates at approximately 5 GHz, extending to about 15 GHz; Wideband (WB) is cantered at roughly 20 GHz, while narrowband operates at approximately 27 GHz. Within the frequency range of interest, the antenna's gain varies between 3dBi and 15dBi. Geometric specifications of …
Experimental Investigation Of External Flow Condensation Heat Transfer In Horizontal Tube-In-Tube Configuration, Jiayuan Li, Jayachandran K. Narayanan, Chirag R. Kharangate
Experimental Investigation Of External Flow Condensation Heat Transfer In Horizontal Tube-In-Tube Configuration, Jiayuan Li, Jayachandran K. Narayanan, Chirag R. Kharangate
Faculty Scholarship
Flow condensation is an important process used to achieve heat rejection across thermal power and energy systems. Studies on tube condensation have concentrated on the condensing fluid flowing in the inner tube. However, common heat exchanger configurations like the shell-and-tube types see the condensing fluid on the outer surface of the tubes. To address this gap, in this study, we investigate the local and channel-averaged heat transfer characteristics of flow condensation happening on the exterior of a horizontal tube in the tube-in-tube configuration. An external flow condensation module is developed and tested to obtain heat transfer and flow visualization data, …
Evaluation Of Long-Term Performance Of Transportation Earthworks Prone To Weather-Driven Deterioration Under Changing Climate, Amr Morsy, Emma Varela
Evaluation Of Long-Term Performance Of Transportation Earthworks Prone To Weather-Driven Deterioration Under Changing Climate, Amr Morsy, Emma Varela
Mineta Transportation Institute
Embankments are key transportation infrastructure features providing essential support for long, linear stretches of transportation infrastructure, including highways and railways, in California and globally. Clay embankments are susceptible to weather-related deterioration processes that can gradually compromise their stability and, in some cases, lead to unexpected failures. Climate change, along with the associated shifts in weather patterns, is projected to adversely impact weather-related deterioration processes, leading to exacerbated failures and/or shorter service life. This study evaluated the impact of climate change on the rate of weather-driven deterioration of embankments in two locations in California: Los Angeles and Sacramento. Specifically, a multi-phase …