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Articles 5881 - 5910 of 75076
Full-Text Articles in Engineering
In Situ Chlorine Generation And Rare Earth Chlorination By Molten Salt Electrolysis, Mark Schvaneveldt, Tyler Williams, Ranon Fuller, Devin Rappleye
In Situ Chlorine Generation And Rare Earth Chlorination By Molten Salt Electrolysis, Mark Schvaneveldt, Tyler Williams, Ranon Fuller, Devin Rappleye
Faculty Publications
Chloride volatility processes for purifying actinide and rare earth elements have historically required the use of Cl2 tanks. To minimize the hazards associated with these processes, an apparatus was designed to produce Cl2 via molten salt electrolysis. Within this apparatus, one can generate Cl2, chlorinate metals, and consume excess Cl2. Here, electrode materials were tested for their ability to generate Cl2, the composition of the gaseous electrolysis product was evaluated using a quadrupole mass spectrometer, and a Ce foil sample was successfully chlorinated using the electrochemically generated Cl2.
Dynamics Of Nanocluster Aerosol In The Indoor Atmosphere During Gas Cooking, Satya S. Patra, Jinglin Jiang, Xiaosu Ding, Chunxu Huang, Emily K. Reidy, Vinay Kumar, Paige Price, Connor Keech, Gerhard Steiner, Philip Stevens, Nusrat Jung, Brandon E. Boor
Dynamics Of Nanocluster Aerosol In The Indoor Atmosphere During Gas Cooking, Satya S. Patra, Jinglin Jiang, Xiaosu Ding, Chunxu Huang, Emily K. Reidy, Vinay Kumar, Paige Price, Connor Keech, Gerhard Steiner, Philip Stevens, Nusrat Jung, Brandon E. Boor
Purdue University Libraries Open Access Publishing Fund
Nanocluster aerosol (NCA: particles in the size range of 1–3 nm) are a critically important, yet understudied, class of atmospheric aerosol particles. NCA efficiently deposit in the human respiratory system and can translocate to vital organs. Due to their high surface area-to-mass ratios, NCA are associated with a heightened propensity for bioactivity and toxicity. Despite the human health relevance of NCA, little is known regarding the prevalence of NCA in indoor environments where people spend the majority of their time. In this study, we quantify the formation and transformation of indoor atmospheric NCA down to 1 nm via high-resolution online …
Classification Of Human Learning Stages Via Kernel Distribution Embeddings, Madeleine Shuhn-Tsuan Yuh, Kendric Ray Ortiz, Kylie Sue Sommer-Kohrt, Meeko Oishi, Neera Jain
Classification Of Human Learning Stages Via Kernel Distribution Embeddings, Madeleine Shuhn-Tsuan Yuh, Kendric Ray Ortiz, Kylie Sue Sommer-Kohrt, Meeko Oishi, Neera Jain
School of Mechanical Engineering Faculty Publications
Adaptive automation, automation which is responsive to the human's performance via the alteration of control laws or level of assistance, is an important tool for training humans to attain new skills when operating dynamical systems. When coupled with cognitive feedback, adaptive automation has the potential to further facilitate human training, but requires precise assessments of human progression through various learning stages. This is challenging because of the underlying dynamics, as well as the stochasticity inherent to human action. We propose a data-driven approach to assess learning stages in a complex quadrotor landing task that is responsive to stochastic, human-in-the-loop quadrotor …
Granular Estimation Of User Cognitive Workload Using Multi-Modal Physiological Sensors, Jingkun Wang, Christopher Stevens, Winston Bennett, Denny Yu
Granular Estimation Of User Cognitive Workload Using Multi-Modal Physiological Sensors, Jingkun Wang, Christopher Stevens, Winston Bennett, Denny Yu
Purdue University Libraries Open Access Publishing Fund
Mental workload (MWL) is a crucial area of study due to its significant influence on task performance and potential for significant operator error. However, measuring MWL presents challenges, as it is a multi-dimensional construct. Previous research on MWL models has focused on differentiating between two to three levels. Nonetheless, tasks can vary widely in their complexity, and little is known about how subtle variations in task difficulty influence workload indicators. To address this, we conducted an experiment inducing MWL in up to 5 levels, hypothesizing that our multi-modal metrics would be able to distinguish between each MWL stage. We measured …
Path-Bigbird: An Ai-Driven Transformer Approach To Classification Of Cancer Pathology Reports, Mayanka Chandrashekar, Isaac Lyngaas, Heidi A. Hanson, Shang Gao, Xiao Cheng Wu, John Gounley
Path-Bigbird: An Ai-Driven Transformer Approach To Classification Of Cancer Pathology Reports, Mayanka Chandrashekar, Isaac Lyngaas, Heidi A. Hanson, Shang Gao, Xiao Cheng Wu, John Gounley
School of Public Health Faculty Publications
PURPOSE: Surgical pathology reports are critical for cancer diagnosis and management. To accurately extract information about tumor characteristics from pathology reports in near real time, we explore the impact of using domain-specific transformer models that understand cancer pathology reports. METHODS: We built a pathology transformer model, Path-BigBird, by using 2.7 million pathology reports from six SEER cancer registries. We then compare different variations of Path-BigBird with two less computationally intensive methods: Hierarchical Self-Attention Network (HiSAN) classification model and an off-the-shelf clinical transformer model (Clinical BigBird). We use five pathology information extraction tasks for evaluation: site, subsite, laterality, histology, and behavior. …
Research And Optimization Of Yolo-Based Method For Automatic Pavement Defect Detection, Hui Yao, Yaning Fan, Xinyue Wei, Yanhao Liu, Dandan Cao, Zhanping You
Research And Optimization Of Yolo-Based Method For Automatic Pavement Defect Detection, Hui Yao, Yaning Fan, Xinyue Wei, Yanhao Liu, Dandan Cao, Zhanping You
Michigan Tech Publications
According to the latest statistics at the end of 2022, the total length of highways in China has reached 5.3548 million kilometers, with a maintenance mileage of 5.3503 million kilometers, accounting for 99.9% of the total maintenance coverage. Relying on inefficient manual pavement detection methods is difficult to meet the needs of large-scale detection. To tackle this issue, experiments were conducted to explore deep learning-based intelligent identification models, leveraging pavement distress data as the fundamental basis. The dataset encompasses pavement micro-cracks, which hold particular significance for the purpose of pavement preventive maintenance. The two-stage model Faster R-CNN achieved a mean …
Formulation And Aerosol Jet Printing Of Nickel Nanoparticle Ink For High-Temperature Microelectronic Applications And Patterned Graphene Growth, Nicholas Mckibben, Michael Curtis, Olivia Maryon, Mone’T Sawyer, Maryna Lazouskaya, Josh Eixenberger, Zhangxian Deng, David Estrada
Formulation And Aerosol Jet Printing Of Nickel Nanoparticle Ink For High-Temperature Microelectronic Applications And Patterned Graphene Growth, Nicholas Mckibben, Michael Curtis, Olivia Maryon, Mone’T Sawyer, Maryna Lazouskaya, Josh Eixenberger, Zhangxian Deng, David Estrada
Materials Science and Engineering Faculty Publications and Presentations
Aerosol jet printing (AJP) is an advanced manufacturing technique for directly writing nanoparticle inks onto target substrates. It is an emerging reliable, efficient, and environmentally friendly fabrication route for thin film electronics and advanced semiconductor packaging. This fabrication technique is highly regarded for its rapid prototyping, the flexibility of design, and fine feature resolution. Nickel is an attractive high-temperature packaging material due to its electrical conductivity, magnetism, and corrosion resistance. In this work, we synthesized nickel nanoparticles and formulated an AJP ink, which was printed on various material surfaces. Thermal sintering experiments were performed on the samples to explore the …
Evaluation Of Fendiline Treatment In Vp40 System With Nucleation-Elongation Process: A Computational Model Of Ebola Virus Matrix Protein Assembly, Xiao Liu, Monica Husby, Robert V. Stahelin, Elsje Pienaar
Evaluation Of Fendiline Treatment In Vp40 System With Nucleation-Elongation Process: A Computational Model Of Ebola Virus Matrix Protein Assembly, Xiao Liu, Monica Husby, Robert V. Stahelin, Elsje Pienaar
Purdue University Libraries Open Access Publishing Fund
Ebola virus (EBOV) infection is threatening human health, especially in Central and West Africa. Limited clinical trials and the requirement of biosafety level-4 laboratories hinder experimental work to advance our understanding of EBOV and the evaluation of treatment. In this work, we use a computational model to study the assembly and budding process of EBOV and evaluate the effect of fendiline on these processes in the context of fluctuating host membrane lipid levels. Our results demonstrate for the first time that the assembly of VP40 filaments may follow the nucleation-elongation theory, as this mechanism is critical to maintaining a pool …
Water Stress Index And Stomatal Conductance Under Different Irrigation Regimes With Thermal Sensors In Rice Fields On The Northern Coast Of Peru, Lia Ramos-Fernández, Maria Gonzales-Quiquia, José Huanuqueño-Murillo, David Tito-Quispe, Elizabeth Heros-Aguilar, Lisveth Flores Del Pino, Alfonso Torres-Rua
Water Stress Index And Stomatal Conductance Under Different Irrigation Regimes With Thermal Sensors In Rice Fields On The Northern Coast Of Peru, Lia Ramos-Fernández, Maria Gonzales-Quiquia, José Huanuqueño-Murillo, David Tito-Quispe, Elizabeth Heros-Aguilar, Lisveth Flores Del Pino, Alfonso Torres-Rua
Civil and Environmental Engineering Faculty Publications
In the face of the climate change crisis, the increase in air temperature negatively impacts rice crop productivity due to stress from water scarcity. The objective of this study was to determine the rice crop water stress index (CWSI) and stomatal conductance (Gs) under different irrigation regimes, specifically continuous flood irrigation treatments (CF) and irrigations with alternating wetting and drying (AWD) at water levels of 5 cm, 10 cm, and 20 cm below the soil surface (AWD5, AWD10, and AWD20) in an experimental area of INIA-Vista Florida and in six commercial areas of the …
Improving The Practical Skills Of Stem Students At A Historically Black College And University (Hbcu), Yasser Ismail, Phyllis Okwan, Fred Lacy
Improving The Practical Skills Of Stem Students At A Historically Black College And University (Hbcu), Yasser Ismail, Phyllis Okwan, Fred Lacy
Faculty Publications
Improving the practical skills of Science, Technology, Engineering and Mathematics (STEM) students at a historically black college and university (HBCU) was done by implementing a transformative teaching model. The model was implemented on undergraduate students of different educational levels in the Electrical Engineering (EE) Department at HBCU. The model was also extended to carefully chosen high and middle schools. These middle and high school students serve as a pipeline to the university, with a particular emphasis on fostering growth within the EE Department. The model aligns well with the core mission of the EE Department, aiming to enhance the theoretical …
Synthesis And Photopatterning Of Synthetic Thiol-Norbornene Hydrogels, Umu S. Jalloh, Arielle Gsell, Kirstene Gultian, James Macaulay, Abigail Madden, Jillian Smith, Luke Siri, Sebastian Vega
Synthesis And Photopatterning Of Synthetic Thiol-Norbornene Hydrogels, Umu S. Jalloh, Arielle Gsell, Kirstene Gultian, James Macaulay, Abigail Madden, Jillian Smith, Luke Siri, Sebastian Vega
Rowan-Virtua School of Translational Biomedical Engineering & Sciences Departmental Research
Hydrogels are a class of soft biomaterials and the material of choice for a myriad of biomedical applications due to their biocompatibility and highly tunable mechanical and biochemical properties. Specifically, light-mediated thiol-norbornene click reactions between norbornene-modified macromers and di-thiolated crosslinkers can be used to form base hydrogels amenable to spatial biochemical modifications via subsequent light reactions between pendant norbornenes in the hydrogel network and thiolated peptides. Macromers derived from natural sources (e.g., hyaluronic acid, gelatin, alginate) can cause off-target cell signaling, and this has motivated the use of synthetic macromers such as poly(ethylene glycol) (PEG). In this study, commercially available …
Brain-Inspired Continual Learning: Robust Feature Distillation And Re-Consolidation For Class Incremental Learning, Hikmat Khan, Nidhal Carla Bouaynaya, Ghulam Rasool
Brain-Inspired Continual Learning: Robust Feature Distillation And Re-Consolidation For Class Incremental Learning, Hikmat Khan, Nidhal Carla Bouaynaya, Ghulam Rasool
Henry M. Rowan College of Engineering Departmental Research
Artificial intelligence and neuroscience have a long and intertwined history. Advancements in neuroscience research have significantly influenced the development of artificial intelligence systems that have the potential to retain knowledge akin to humans. Building upon foundational insights from neuroscience and existing research in adversarial and continual learning fields, we introduce a novel framework that comprises two key concepts: feature distillation and re-consolidation. The framework distills continual learning (CL) robust features and rehearses them while learning the next task, aiming to replicate the mammalian brain's process of consolidating memories through rehearsing the distilled version of the waking experiences. Furthermore, the proposed …
Endoscopic Hyperspectral Imaging System To Discriminate Tissue Characteristics In Tissue Phantom And Orthotopic Mouse Pancreatic Tumor Model, Na Eun Mun, Thi Kim Chi Tran, Dong Hui Park, Jin Hee Im, Jae Il Park, Thanh Dat Le, Young Jin Moon, Seong-Young Kwon, Su Woong Yoo
Endoscopic Hyperspectral Imaging System To Discriminate Tissue Characteristics In Tissue Phantom And Orthotopic Mouse Pancreatic Tumor Model, Na Eun Mun, Thi Kim Chi Tran, Dong Hui Park, Jin Hee Im, Jae Il Park, Thanh Dat Le, Young Jin Moon, Seong-Young Kwon, Su Woong Yoo
Faculty, Staff and Student Publications
In this study, we developed an endoscopic hyperspectral imaging (eHSI) system and evaluated its performance in analyzing tissues within tissue phantoms and orthotopic mouse pancreatic tumor models. Our custom-built eHSI system incorporated a liquid crystal tunable filter. To assess its tissue discrimination capabilities, we acquired images of tissue phantoms, distinguishing between fat and muscle regions. The system underwent supervised training using labeled samples, and this classification model was then applied to other tissue phantom images for evaluation. In the tissue phantom experiment, the eHSI effectively differentiated muscle from fat and background tissues. The precision scores regarding fat tissue classification were …
Log-Linear Dynamic Inversion Control With Provable Safety Guarantees In Lie Groups, Li-Yu Lin, James Goppert, Inseok Hwang
Log-Linear Dynamic Inversion Control With Provable Safety Guarantees In Lie Groups, Li-Yu Lin, James Goppert, Inseok Hwang
School of Aeronautics and Astronautics Faculty Publications
In this article, we use the derivative of the exponential map to derive the exact evolution of the logarithm of the tracking error for mixed-invariant systems, a class of systems capable of describing rigid body tracking problems in Lie groups. In addition, we design a log-linear dynamic inversion-based control law to remove the nonlinearities due to spatial curvature and enhance the robustness of the controller. We apply linear matrix inequalities to bound the tracking error given a bounded disturbance amplified by the distortion matrix and leverage the tracking error bound to create flow pipes. To demonstrate the usefulness of our …
Nature Of Occupational Incidents Among Roofing Contractors: A Data Mining Approach, Ikechukwu Sylvester Onuchukwu, Pouya Gholizadeh, Genian Liko, Behzad Esmaeili
Nature Of Occupational Incidents Among Roofing Contractors: A Data Mining Approach, Ikechukwu Sylvester Onuchukwu, Pouya Gholizadeh, Genian Liko, Behzad Esmaeili
Purdue University Libraries Open Access Publishing Fund
Given that roofing contractors in the construction industry have the highest fatality rate among specialty contractors, understanding the root cause of incidents among roofers is critical for improving safety outcomes. This study applied frequency analysis and decision tree data-mining techniques to analyze roofers’ fatal and non-fatal accident reports. The frequency analysis yielded insights into the leading cause of accidents, with fall to a lower level (83%) being the highest, followed by incidence sources relating to structures and surfaces (56%). The most common injuries experienced by roofing contractors were fractures (49%) and concussions (15%), especially for events occurring in residential buildings, …
Ai-Based Investigation And Mitigation Of Rain Effect On Channel Performance With Aid Of A Novel 3d Slot Array Antenna Design For High Throughput Satellite System, Ali M. Al-Saegh, Fatma Taher, Taha A. Elwi, Mohammad Alibakhshikenari, Bal S. Virdee, Osama Abdullah, Salahuddin Khan, Patrizia Livreri, Abdulmajeed Al-Jumaily, Mohamed Fathy Abo Sree, Arkan Mousa Majeed, Lida Kouhalvandi, Zaid A. Abdul Hassain, Giovanni Pau
Ai-Based Investigation And Mitigation Of Rain Effect On Channel Performance With Aid Of A Novel 3d Slot Array Antenna Design For High Throughput Satellite System, Ali M. Al-Saegh, Fatma Taher, Taha A. Elwi, Mohammad Alibakhshikenari, Bal S. Virdee, Osama Abdullah, Salahuddin Khan, Patrizia Livreri, Abdulmajeed Al-Jumaily, Mohamed Fathy Abo Sree, Arkan Mousa Majeed, Lida Kouhalvandi, Zaid A. Abdul Hassain, Giovanni Pau
All Works
Rain attenuation poses a significant challenge for high-throughput communication systems. In response, this paper introduces an artificial intelligence (AI) model designed for predicting and mitigating rain-induced impairments in high-throughput satellite (HTS) to land channels. The model is based on three AI algorithms developed using 3D antenna design to characterize, analyze, and mitigate rain-induced attenuation, optimizing channel quality specifically in the United Arab Emirates (UAE). The study evaluates various parameters, including rain-specific attenuation, effective slant path through rain, rain-induced attenuation, signal carrier-to-noise ratio, and symbol error rate, for five conventional modulation schemes: Quadrature Phase-Shift Keying (QPSK), 8-Phase Shift Keying (8-PSK), 16-Quadrature …
Wire Texture C-Axis Distribution Of Strontium Ferrite/Pa-12 Extruded Filament, Gabriela Espinosa-Rodriguez, Oluwasola Arigbabowo, Jonathan Alvarado, Jitendra Tate, Wilhelmus J. Geerts
Wire Texture C-Axis Distribution Of Strontium Ferrite/Pa-12 Extruded Filament, Gabriela Espinosa-Rodriguez, Oluwasola Arigbabowo, Jonathan Alvarado, Jitendra Tate, Wilhelmus J. Geerts
Mechanical Engineering Faculty Publications
The magnetic anisotropy of strontium ferrite (SF)/PA12 filament, a popular hard magnetic ferrimagnetic composites that is used for 3D-printing of permanent magnets, is studied by vibrating sample magnetometry. The studied filaments have a composition of SF/PA-12 thermoplastic composite with a 40% wt. ratio of SF. SF particles are non-spherical platelets with an average diameter of 1.3 um and a diameter to thickness ratio of 3. Filaments are produced by a twin-screw extruder and have a diameter of 1.5 mm. SEM images show that the SF particles are homogeneously distributed through the filament. VSM measurements on different parts of the filaments …
Tribological Properties Of H-Bn, Ag And Mgo Nanostructures As Lubricant Additives In Vegetable Oils, Victoria Granja, Kollol Sarker Jogesh, Jaime Taha-Tijerina, C. Fred Higgs Iii
Tribological Properties Of H-Bn, Ag And Mgo Nanostructures As Lubricant Additives In Vegetable Oils, Victoria Granja, Kollol Sarker Jogesh, Jaime Taha-Tijerina, C. Fred Higgs Iii
Informatics and Engineering Systems Faculty Publications
There exists an ever-growing need for sustainable engineering solutions to improve emission control and the energy efficiency of tribosystems. This study examines the tribological properties of two environmentally friendly vegetable fluids, soybean and sunflower oil, with the addition of three non-toxic nanostructures (h-BN, silver and MgO) at different concentrations. It was found that nanostructures added to vegetable oils at specific concentrations can exhibit good friction reduction and wear preventive properties. The addition of h-BN nanosheets in sunflower oil decreased the coefficient of friction and the wear damage, as measured by the wear scar diameter. Silver and magnesium oxide nanoparticles further …
Detecting Substance Use Disorder Using Social Media Data And Dark Web: Time And Knowledge Aware Study, Usha Lokala, Orchid Chetia Phukan, Triyasha Ghosh Dastidar, Francois Lamy, Raminta Daniulaityte, Amit Sheth
Detecting Substance Use Disorder Using Social Media Data And Dark Web: Time And Knowledge Aware Study, Usha Lokala, Orchid Chetia Phukan, Triyasha Ghosh Dastidar, Francois Lamy, Raminta Daniulaityte, Amit Sheth
Faculty Publications
Opioid and substance misuse is rampant in the United States today, with the phenomenon known as the "opioid crisis". The relationship between substance use and mental health has been extensively studied, with one possible relationship being: substance misuse causes poor mental health. However, the lack of evidence on the relationship has resulted in opioids being largely inaccessible through legal means. This study analyzes the substance use posts on social media with opioids being sold through crypto market listings. We use the Drug Abuse Ontology, state-of-the-art deep learning, and knowledge-aware BERT-based models to generate sentiment and emotion for the social media …
Quantifying Wildfire Drivers And Predictability In Boreal Peatlands Using A Two-Step Error-Correcting Machine Learning Framework In Tefire V1.0, Rongyun Tang, Mingzhou Jin, Daniel M. Ricciuto, Anping Chen, Yulong Zhang
Quantifying Wildfire Drivers And Predictability In Boreal Peatlands Using A Two-Step Error-Correcting Machine Learning Framework In Tefire V1.0, Rongyun Tang, Mingzhou Jin, Daniel M. Ricciuto, Anping Chen, Yulong Zhang
Biological and Agricultural Engineering Faculty Publications and Presentations
Wildfires are becoming an increasing challenge to the sustainability of boreal peatland (BP) ecosystems and can alter the stability of boreal carbon storage. However, predicting the occurrence of rare and extreme BP fires proves to be challenging, and gaining a quantitative understanding of the factors, both natural and anthropogenic, inducing BP fires remains elusive. Here, we quantified the predictability of BP fires and their primary controlling factors from 1997 to 2015 using a two-step correcting machine learning (ML) framework that combines multiple ML classifiers, regression models, and an error-correcting technique. We found that (1) the adopted oversampling algorithm effectively addressed …
Simulation Of The Multi-Wake Evolution Of Two Sandia National Labs/National Rotor Testbed Turbines Operating In A Tandem Layout, Apurva Baruah, Fernando L. Ponta, Alayna Farrell
Simulation Of The Multi-Wake Evolution Of Two Sandia National Labs/National Rotor Testbed Turbines Operating In A Tandem Layout, Apurva Baruah, Fernando L. Ponta, Alayna Farrell
Michigan Tech Publications
The future of wind power systems deployment is in the form of wind farms comprised of scores of such large turbines, most likely at offshore locations. Individual turbines have grown in span from a few tens of meters to today’s large turbines with rotor diameters that dwarf even the largest commercial aircraft. These massive dynamical systems present unique challenges at scales unparalleled in prior applications of wind science research. Fundamental to this effort is the understanding of the wind turbine wake and its evolution. Furthermore, the optimization of the entire wind farm depends on the evolution of the wakes of …
Residual Stress Generation In Additive Manufacturing Of Complex Lattice Geometries, Katie Bruggeman, Nathan Klingbeil, Anthony N. Palazotto
Residual Stress Generation In Additive Manufacturing Of Complex Lattice Geometries, Katie Bruggeman, Nathan Klingbeil, Anthony N. Palazotto
Faculty Publications
Residual stresses developed during additive manufacturing (AM) can influence the mechanical performance of structural components in their intended applications. In this study, thermomechanical residual stress simulations of the laser powder bed fusion (LPBF) process are conducted for both simplified (plate and cube-shaped) geometries as well as five complex lattice geometries fabricated with Inconel 718. These simulations are conducted with the commercial software package Simufact Additive©, which uses a nonlinear finite element analysis and layer-by-layer averaging approach in determining residual stresses. To verify the efficacy of the Simufact Additive© simulations, numerical results for the plate and cube-shape geometries are analyzed for …
Association Of Bovine Arch Anatomy With Incident Stroke After Transcatheter Aortic Valve Replacement, Gerardo V. Lo Russo, Hasan S. Alarouri, Abdulah Al-Abcha, Brennan Vogl, Abdulah Mahayni, Agata Sularz, Hoda Hatoum, Jeremy Collins, Juan A. Crestanello, Mohamad Alkhouli
Association Of Bovine Arch Anatomy With Incident Stroke After Transcatheter Aortic Valve Replacement, Gerardo V. Lo Russo, Hasan S. Alarouri, Abdulah Al-Abcha, Brennan Vogl, Abdulah Mahayni, Agata Sularz, Hoda Hatoum, Jeremy Collins, Juan A. Crestanello, Mohamad Alkhouli
Michigan Tech Publications
BACKGROUND: Acute ischemic stroke complicates 2 % to 3 % of transcatheter aortic valve replacements (TAVRs). This study aimed to identify the aortic anatomic correlates in patients after TAVR stroke. METHODS AND RESULTS: This is a single-center, retrospective study of patients who underwent TAVR at the Mayo Clinic between 2012 and 2022. The aortic arch morphology was determined via a manual review of the pre-TAVR computed tomography images. An "a priori" approach was used to select the covariates for the following: (1) the logistic regression model assessing the association between a bovine arch and periprocedural stroke (defined as stroke within …
Pre‑Sizing Online Tool For Photovoltaic Water Pumping System: Development, Testing, Validation, And Evaluation, Sameh O. Abdellatif, Hani Ghali, Ibrahem Mohamed Mahmoud, Ahmed Hatem, Abdullah Hatem
Pre‑Sizing Online Tool For Photovoltaic Water Pumping System: Development, Testing, Validation, And Evaluation, Sameh O. Abdellatif, Hani Ghali, Ibrahem Mohamed Mahmoud, Ahmed Hatem, Abdullah Hatem
Electrical Engineering
No abstract provided.
Fabricating A 3d Floating Porous Pdms − Ag/Agbr Decorated G-C3n4 Nanocomposite Sponge As A Re-Usable Visible Light Photocatalyst, Maryam Galal Elmahgary, Mohamed Taha, A Kalid, Shymaa Madany, Yasser Attia
Fabricating A 3d Floating Porous Pdms − Ag/Agbr Decorated G-C3n4 Nanocomposite Sponge As A Re-Usable Visible Light Photocatalyst, Maryam Galal Elmahgary, Mohamed Taha, A Kalid, Shymaa Madany, Yasser Attia
Chemical Engineering
No abstract provided.
Energy System For Evaluation Of Modification Methods On Energy Transfer Efficiency And Optimization Ofmembranes, Tian Li, Hong Zhou, Wei Ding, Jinjun Wang, Tiancheng Zhang
Energy System For Evaluation Of Modification Methods On Energy Transfer Efficiency And Optimization Ofmembranes, Tian Li, Hong Zhou, Wei Ding, Jinjun Wang, Tiancheng Zhang
Department of Civil and Environmental Engineering: Faculty Publications
Saving energy is crucial for utilizing membrane technology, but there is no energy parameter for understanding the relationships among membrane performance and energy. Here, φ is defined as the energy transfer efficiency of the membrane, and its numerical expression of membrane performance is poor (e.g., in the range of 10−23). The method of modifying membranes is a crucial determinant for developing membrane science, but researchers using current parameters to evaluate modification methods might lead to erroneous conclusions. Hence, the newly established system θ is used to analyze the influence of different modification methods on energy consumption, which not …
Are Vehicle Tires Major Contributors To Microplastic Emissions Into The China Seas? A Simple Model Perspective., Shuolin Xiao, Yuran Liang, Xiaowei Zhu, Simone Q. Kyes, Xiaofeng Cai
Are Vehicle Tires Major Contributors To Microplastic Emissions Into The China Seas? A Simple Model Perspective., Shuolin Xiao, Yuran Liang, Xiaowei Zhu, Simone Q. Kyes, Xiaofeng Cai
Mechanical and Materials Engineering Faculty Publications and Presentations
Microplastics pose a substantial threat to our environment. Given China's large population and rapid economic growth, it is urgent to estimate the annual emissions of microplastics into its marine environment. The microplastics show a significant variation in their source emissions as well as in their physical and chemical properties, leading to differences in their transport and fate in aquatic environments. To account for these variations, we developed a process-oriented model that considers microplastics from different sources and the inter-provincial variation in their retention rate to assess annual microplastic emissions into the China seas. On a national scale, of the microplastics …
A Systematic Survey On 5g And 6g Security Considerations, Challenges, Trends, And Research Areas, Paul Scalise, Matthew Boeding, Hamid Sharif, Joseph Delloiacovo, John Reed
A Systematic Survey On 5g And 6g Security Considerations, Challenges, Trends, And Research Areas, Paul Scalise, Matthew Boeding, Hamid Sharif, Joseph Delloiacovo, John Reed
Department of Electrical and Computer Engineering: Faculty Publications
With the rapid rollout and growing adoption of 3GPP 5thGeneration (5G) cellular services, including in critical infrastructure sectors, it is important to review security mechanisms, risks, and potential vulnerabilities within this vital technology. Numerous security capabilities need to work together to ensure and maintain a sufficiently secure 5G environment that places user privacy and security at the forefront. Confidentiality, integrity, and availability are all pillars of a privacy and security framework that define major aspects of 5G operations. They are incorporated and considered in the design of the 5G standard by the 3rd Generation Partnership Project (3GPP) with the goal …
A Review Of Proton Exchange Membrane Degradation Pathways, Mechanisms, And Mitigation Strategies In A Fuel Cell, Dharmjeet Madhav, Junru Wang, Rajesh Keloth, Jorben Mus, Frank Buysschaert, Veerle Vandeginste
A Review Of Proton Exchange Membrane Degradation Pathways, Mechanisms, And Mitigation Strategies In A Fuel Cell, Dharmjeet Madhav, Junru Wang, Rajesh Keloth, Jorben Mus, Frank Buysschaert, Veerle Vandeginste
Department of Chemical and Biomolecular Engineering: Faculty Publications
Proton exchange membrane fuel cells (PEMFCs) have the potential to tackle major challenges associated with fossil fuel-sourced energy consumption. Nafion, a perfluorosulfonic acid (PFSA) membrane that has high proton conductivity and good chemical stability, is a standard proton exchange membrane (PEM) used in PEMFCs. However, PEM degradation is one of the significant issues in the long-term operation of PEMFCs. Membrane degradation can lead to a decrease in the performance and the lifespan of PEMFCs. The membrane can degrade through chemical, mechanical, and thermal pathways. This paper reviews the different causes of all three routes of PFSA degradation, underlying mechanisms, their …
Wireless Power Transfer Using Electronic Textiles: A Comparative Review, Showrov Rahman, Marjan Al Haque, Mohammad Solaiman, Rashed Hasan Ratul, Istiak Ahmed, Shawana Tabassum, Izabela Ciesielska-Wrobel
Wireless Power Transfer Using Electronic Textiles: A Comparative Review, Showrov Rahman, Marjan Al Haque, Mohammad Solaiman, Rashed Hasan Ratul, Istiak Ahmed, Shawana Tabassum, Izabela Ciesielska-Wrobel
Electrical Engineering Faculty Publications and Presentations
Wireless power transfer (WPT) has already been established as a popular technology in multiple areas such as electric vehicle charging, smartphone charging, or powering bio-medical implants. In recent years, wireless power transfer in electronic textiles (e-textiles) or smart textiles has seen rapid growth with the advancement of textile materials and flexible electronic components. Although many reviews and surveys on WPT can be found in the literature for other popular fields, this is not the case for the application of WPT in e-textiles. To address this issue, a comparative review of previous literature on WPT in e-textiles is presented in this …