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Articles 86311 - 86340 of 197010
Full-Text Articles in Engineering
Development Of A Lfle Double Pattern Process For Te Mode Photonic Devices, Mycahya Eggleston
Development Of A Lfle Double Pattern Process For Te Mode Photonic Devices, Mycahya Eggleston
Journal of the Microelectronic Engineering Conference
No abstract provided.
Roll-To-Roll Pilot Line For Large-Scale Manufacturing Of Microfluidic Devices, Martin Smolka, Anja Haase, Ursula Palfinger, Dieter Nees, Ladislav Kuna, Jan Hesse, Barbara Stadlober, Sascha. Geidel, Jörg Nestler, Nikolaus Ladenhauf, Andoni Rodriguez, Florian Hasenöhrl, Martin Eibelhuber, Max Sonnleitner, Guggi Kofod, Dan Kofoed, Jan Kafka, Isbaal Ramos, Manuel W. Thesen, Mirko Lohse, Ana Ayerdi, Nerea Briz
Roll-To-Roll Pilot Line For Large-Scale Manufacturing Of Microfluidic Devices, Martin Smolka, Anja Haase, Ursula Palfinger, Dieter Nees, Ladislav Kuna, Jan Hesse, Barbara Stadlober, Sascha. Geidel, Jörg Nestler, Nikolaus Ladenhauf, Andoni Rodriguez, Florian Hasenöhrl, Martin Eibelhuber, Max Sonnleitner, Guggi Kofod, Dan Kofoed, Jan Kafka, Isbaal Ramos, Manuel W. Thesen, Mirko Lohse, Ana Ayerdi, Nerea Briz
Single-use Technologies II: Bridging Polymer Science to Biotechnology Applications
Roll-to-roll (R2R) technologies with roller-based nanoimprinting methods enable manufacturing of highly cost-effective and large-scale sheets of flexible polymer film with precise structures on a micro- and nanoscale 1. Areas that can benefit strongly from such large scale technologies are microfluidics, biosensors, and lab-on-chip products for point of care diagnostics, drug discovery and food control. Here, R2R fabrication could greatly reduce production costs and increase manufacturing capacity with respect to currently used products. A pilot line with this technology is investigated in the European Horizon 2020 project R2R Biofluidics and its capabilities are tested on two Demonstrators: - Demonstrator 1: In-vitro …
Protein-Specific Empirical Model Of Protein Adsorption On Surfaces, Dan Nicolau
Protein-Specific Empirical Model Of Protein Adsorption On Surfaces, Dan Nicolau
Single-use Technologies II: Bridging Polymer Science to Biotechnology Applications
Predicting protein adsorption from solution to a surface is an important problem in biomedicine and related fields. Despite constant attention in the literature, it is not currently possible to predict quantitatively the amount of adsorbed protein given environment, protein and surface parameters. We present a purely empirical approach to predict protein adsorption using a linearly piecewise model with breakpoint, based on progress in the understanding and quantification of physico-chemical properties on protein molecular surfaces. This model is capable of accounting for over 90% of the variance in the data, despite the fact that the adsorption data spans over three orders …
Method Of Manufacturing A Semiconductor Heteroepitaxy Structure, Zhi David Chen
Method Of Manufacturing A Semiconductor Heteroepitaxy Structure, Zhi David Chen
Electrical and Computer Engineering Faculty Patents
A method of manufacturing a semiconductor structure includes the steps of depositing a layer of semiconductor oxide on a base semiconductor layer, scavenging oxygen from the layer of semiconductor oxide and recrystallizing the oxygen scavenged layer of semiconductor oxide as a semiconductor heteroepitaxy layer.
Pediatric Leukemia: Diagnosis To Treatment–A Review, Samantha C. Bernard, Ehab H. Abdelsamad, Paisley A. Johnson, Daniel L. Chapman, Madhukiran Parvathaneni
Pediatric Leukemia: Diagnosis To Treatment–A Review, Samantha C. Bernard, Ehab H. Abdelsamad, Paisley A. Johnson, Daniel L. Chapman, Madhukiran Parvathaneni
Faculty Works
Leukemia is cancer of the blood and bone marrow, it is the most common cancer found in children and is found to be more than one fourth of pediatric cancers. It causes white blood cells to become abnormal and the body to become weak. This deficiency in the immune system reduces the body's ability to fight infection or simple airborne illnesses, causing extensive treatment of common pathogens and cancer treatment. The present review covers all topics, from diagnosis to treatment of pediatric leukemia, as well as the stages of growth and physiological changes throughout the process. As leukemia has a …
Information Theoretic Eeg Analysis Of Children With Severe Disabilities In Response To Power Mobility Training: A Pilot Study, Joshua O. Usoro
Information Theoretic Eeg Analysis Of Children With Severe Disabilities In Response To Power Mobility Training: A Pilot Study, Joshua O. Usoro
Masters Theses
Studies have shown that self-initiated locomotion in infants and young children is paramount to developing motor skills, social skills, and visuospatial perception. Because children with multiple, severe disabilities are often not able to produce movement on their own due to limited motor control, access to a power mobility device may be vital to their overall development. This study extends data analysis from an exploratory study, and investigates the use of information theoretics in providing objective measures to characterize changes in electroencephalograms (EEG) as a result of power mobility training, and relates these changes to observed rehabilitation outcomes. Three subjects with …
Lightweight Data Aggregation Scheme Against Internal Attackers In Smart Grid Using Elliptic Curve Cryptography, Debiao He, Sherali Zeadally, Huaqun Wang, Qin Liu
Lightweight Data Aggregation Scheme Against Internal Attackers In Smart Grid Using Elliptic Curve Cryptography, Debiao He, Sherali Zeadally, Huaqun Wang, Qin Liu
Information Science Faculty Publications
Recent advances of Internet and microelectronics technologies have led to the concept of smart grid which has been a widespread concern for industry, governments, and academia. The openness of communications in the smart grid environment makes the system vulnerable to different types of attacks. The implementation of secure communication and the protection of consumers’ privacy have become challenging issues. The data aggregation scheme is an important technique for preserving consumers’ privacy because it can stop the leakage of a specific consumer’s data. To satisfy the security requirements of practical applications, a lot of data aggregation schemes were presented over the …
Classification Of Images Based On Pixels That Represent A Small Part Of The Scene. A Case Applied To Microaneurysms In Fundus Retina Images, Pablo F. Ordonez, Pablo F. Ordonez
Classification Of Images Based On Pixels That Represent A Small Part Of The Scene. A Case Applied To Microaneurysms In Fundus Retina Images, Pablo F. Ordonez, Pablo F. Ordonez
Master of Science in Computer Science Theses
Convolutional Neural Networks (CNNs), the state of the art in image classification, have proven to be as effective as an ophthalmologist, when detecting Referable Diabetic Retinopathy (RDR). Having a size of less than 1\% of the total image, microaneurysms are early lesions in DR that are difficult to classify. The purpose of this thesis is to improve the accuracy of detection of microaneurysms using a model that includes two CNNs with different input image sizes, 60x60 and 420x420 pixels. These models were trained using the Kaggle and Messidor datasets and tested independently against the Kaggle dataset, showing a sensitivity of …
College Of Engineering News, Georgia Southern University
College Of Engineering News, Georgia Southern University
College of Engineering & Computing: News & Publications (2010-2023)
- Adel El Shahat elevated to IEEE Senior Member
A Hybrid Dynamic System Assessment Methodology For Multi-Modal Transportation-Electrification, Thomas J.T Van Der Wardt, Amro M. Farid
A Hybrid Dynamic System Assessment Methodology For Multi-Modal Transportation-Electrification, Thomas J.T Van Der Wardt, Amro M. Farid
Dartmouth Scholarship
In recent years, electrified transportation, be it in the form of buses, trains, or cars have become an emerging form of mobility. Electric vehicles (EVs), especially, are set to expand the amount of electric miles driven and energy consumed. Nevertheless, the question remains as to whether EVs will be technically feasible within infrastructure systems. Fundamentally, EVs interact with three interconnected systems: the (physical) transportation system, the electric power grid, and their supporting information systems. Coupling of the two physical systems essentially forms a nexus, the transportation-electricity nexus (TEN). This paper presents a hybrid dynamic system assessment methodology for multi-modal transportation-electrification. …
Evaluating The Effect Of Temporary Casing On Drilled Shaft Rock Socket Capacity, Daniel J. Hagerman
Evaluating The Effect Of Temporary Casing On Drilled Shaft Rock Socket Capacity, Daniel J. Hagerman
USF Tampa Graduate Theses and Dissertations
The purpose of this study was to determine the effect on side shear resistance in limestone when temporary casing is used. Due to testing in actual limestone being an unrealistic goal, simulated limestone mixes were prepared and cast into 6 – 42 in. diameter beds. Limestone throughout Florida can be quite varied (e.g. 50-5000 psi) but where stronger limestone is not likely to be penetrated by casing installation. Therefore, target unconfined compressive strengths of the study specimens ranged between 60 psi to 850 psi.
A simulated limestone material was developed based on over 200 cylinders cast for unconfined compression testing …
Using Activated Charcoal To Reuse Anesthetic Gas, Patrick Kolbay, Joseph Orr, Kai Kück
Using Activated Charcoal To Reuse Anesthetic Gas, Patrick Kolbay, Joseph Orr, Kai Kück
Utah Space Grant Consortium
General anesthesia enables surgery, with anesthesia machines being the predominant tool to do so. However, these machines are hard to maintain, costly, and require significant supporting infrastructure. The current design of anesthesia machines demands the disposal of anesthetic gases at a rate equal to fresh oxygen entering the system. This causes several orders of magnitude more anesthetic vaporized than needed, yielding negative economic and environmental impact. To address this, we propose utilizing the porous surface of activated charcoal to absorb and desorb the anesthetic gases to be reused.
A Hydrodynamic Model For Plasmasphere Refilling Following Geomagnetic Storms, Kausik Chatterjee, Robert W. Schunk
A Hydrodynamic Model For Plasmasphere Refilling Following Geomagnetic Storms, Kausik Chatterjee, Robert W. Schunk
Utah Space Grant Consortium
The refilling of the plasmasphere following a geomagnetic storm remains one of the longstanding problems involving ionosphere-magnetosphere coupling. Both diffusion and hydrodynamic approximations have been adopted for the modeling and solution of this problem. The diffusion approximation neglects the nonlinear inertial term in the momentum equation and so this approximation is not rigorously valid immediately after a storm. The principle focus of this work is the formulation and development of a hydrodynamic refilling model (that includes the nonlinear inertial term) using the fluxcorrected transport method, a numerical method that is extremely well suited to handling nonlinear problems with shocks and …
Using Hotspot Analysis And Detection Of Early Season Invasives (Desi) To Analyze The Temporal And Spatial Dynamics Of Invasive Cheatgrass (Bromus Tectorum)., Tara B.B. Bishop, J. Belnap, S. Munson, R. A. Gill, Sam B. St. Clair
Using Hotspot Analysis And Detection Of Early Season Invasives (Desi) To Analyze The Temporal And Spatial Dynamics Of Invasive Cheatgrass (Bromus Tectorum)., Tara B.B. Bishop, J. Belnap, S. Munson, R. A. Gill, Sam B. St. Clair
Utah Space Grant Consortium
The invasion of exotic annual grasses during the last century has transformed plant habitats and communities worldwide. Cheatgrass (Bromus tectorum) is a winter annual grass that has invaded over 100 million acres of the western United States (Pellant and Hall, 1994. Pellant, 1996). Cheatgrass quickly utilizes available resources especially after a disturbance to the landscape. A major impact of invasion is the increased frequency in fires (D’Antonio and Vitousek, 1992). As cheatgrass is highly successful at invading open and disturbed landscapes at a rapid pace it increases the frequency and severity of fires in arid landscapes (Brooks, 2005). …
Linking Quantitative Motor Assessments To The Underlying Brian Injury: A Preliminary Report, Paula Johnson, Clay Kincaid, Nathan Muncy, Steven K. Charles
Linking Quantitative Motor Assessments To The Underlying Brian Injury: A Preliminary Report, Paula Johnson, Clay Kincaid, Nathan Muncy, Steven K. Charles
Utah Space Grant Consortium
Using custom software and an inexpensive novel motion capture controller, we adapted and automated traditional subjective motor assessments in an integrated system to develop a quantitative motor assessment (QMA) that is low-cost, and highly sensitive. Twelve participants who have suffered a traumatic brain injury performed the QMA and had MRI scans of their brain. We compared the individual QMA results from the TBI group to normative standards (developed in an earlier work). We also compared the QMA results to measures of damage found in MRI results. Preliminary analysis of a subset of data are reported here.
Acoustic Measurements Of Lithium-Ion Battery Electrode Films, Kathryn L. Dallon, Jing Yao, Dean R. Wheeler, Brian A. Mazzeo
Acoustic Measurements Of Lithium-Ion Battery Electrode Films, Kathryn L. Dallon, Jing Yao, Dean R. Wheeler, Brian A. Mazzeo
Utah Space Grant Consortium
This research investigates the use of acoustic measurements as an alternative means of non-destructive quality control for Li-ion battery films. The goal of this research is to enable accurate, non-destructive inspection of the battery electrode as it is being manufactured, so that problems can be identified and addressed early on. Here we report on our efforts to distinguish between films with different mechanical properties using acoustic resonances and surface acoustic wave (SAW) velocity. We were able to differentiate between films of various coating thicknesses using resonance measurements. We also used resonance measurements to monitor a material as it dried. SAW …
Desorption Electrospray Ionization (Desi) Mass Spectrometric Imaging Of Spatially Regulated In Vivo Metabolic Rates, Charlotte R. Lewis, Richard H. Carson, Mercede N. Erikson, Anna P. Zagieboylo, Bradley C. Naylor, Kelvin W. Li, John C. Price, Paul B. Farnsworth
Desorption Electrospray Ionization (Desi) Mass Spectrometric Imaging Of Spatially Regulated In Vivo Metabolic Rates, Charlotte R. Lewis, Richard H. Carson, Mercede N. Erikson, Anna P. Zagieboylo, Bradley C. Naylor, Kelvin W. Li, John C. Price, Paul B. Farnsworth
Utah Space Grant Consortium
Desorption electrospray ionization (DESI) is an ambient ionization technique used for mass spectrometric imaging of biological samples. When coupled with isotopic ratio measurements of deuterium-labeled tissues, DESI provides a means of measuring metabolic rates on a spatially resolved basis. In vivo metabolic rates are desired to better understand diseases such as Alzheimer’s, Parkinson’s, and Huntington’s and to study the impact of space travel on muscle tissue growth and wasting. Although DESI has been used to image lipids and metabolites of a variety of tissues and other imaging techniques, such as NIMS, have been used to study kinetic turnover rates, DESI …
Towards Unsupervised Deep Learning Based Anomaly Detection, Trevor Landeen, Jacob Gunther
Towards Unsupervised Deep Learning Based Anomaly Detection, Trevor Landeen, Jacob Gunther
Utah Space Grant Consortium
Novelty or anomaly detection is a challenging problem in many research disciplines without a general solution. In machine learning, inputs unlike the training data need to be identified. In areas where research involves taking measurements, identifying errant measurements is often necessary and occasionally vital. When monitoring the status of a system, some observations may indicate a potential system failure is occurring or may occur in the near future. The challenge is to identify the anomalous measurements that are usually sparse in comparison to the valid measurements. This paper presents a land-water classification problem as an anomaly detection problem to demonstrate …
Considering Manufacturability In The Design Of Deployable Origami-Adapted Mechanisms, Erica B. Crampton, Spencer P. Magleby
Considering Manufacturability In The Design Of Deployable Origami-Adapted Mechanisms, Erica B. Crampton, Spencer P. Magleby
Utah Space Grant Consortium
Primary barriers to greater implementation of deployable origami-adapted mechanisms are their manufacturability and robustness. This paper discusses manufacturability in the design of such mechanisms through presenting and examining three examples. Manufacturability lessons gathered from these examples include the importance of joint-panel interfaces and how techniques and approaches for origami-adapted design can be customized to meet the needs of a specific product. As the manufacturability of deployable origami-adapted products is addressed and improved, their robustness will also improve, thereby enabling greater use of origami-adapted design.
An Optical-Based Aggregate Approach To Measuring Condensation Heat Transfer, Kimberly A. Stevens, Julie Crockett, Daniel R. Maynes, Brian D. Iverson
An Optical-Based Aggregate Approach To Measuring Condensation Heat Transfer, Kimberly A. Stevens, Julie Crockett, Daniel R. Maynes, Brian D. Iverson
Utah Space Grant Consortium
Condensation heat transfer is significant in many applications such as such as desalination, energy conversion [1], atmospheric water harvesting [2, 3], electronics cooling, and other high heat flux applications [4]. However, condensate on the surface adds a thermal resistance that limits condensation rates. The rate of condensation heat transfer is inversely proportional to the diameter of the condensate drops [5]. In industrial condensing systems, the resistance is minimized by removing the condensate via gravity or a vapor shear, but the minimum size of droplet removal is typically on the order of the capillary length of the condensate, about 2.7 mm …
Electrochemical Sensing With High Aspect Ratio Carbon Nanotube Platforms, Benjamin J. Brownlee, Brian D. Iverson
Electrochemical Sensing With High Aspect Ratio Carbon Nanotube Platforms, Benjamin J. Brownlee, Brian D. Iverson
Utah Space Grant Consortium
Increased sensitivity of electrochemical sensors is important for detection of low analyte concentrations. A unique flow-through sensor is demonstrated by depositing nanostructured platinum catalyst onto high aspect ratio, porous membranes of vertically-aligned carbon nanotubes (CNTs). Convective mass transfer enhancement was shown to improve the platinum-nanowire-coated CNT (PN-CNT) sensor performance in amperometric sensing of hydrogen peroxide (H2O2). Over 90% of the H2O2 was oxidized as it passed through the PN-CNT sensor, even for low concentrations in the range of 50 nM to 500 μM. This effective utilization of the analyte in detection demonstrates the …
An Efficient Linear Octree-Based Grid Toward Magnetic Fluid Stimulation, Sean Flynn, Parris Egbert
An Efficient Linear Octree-Based Grid Toward Magnetic Fluid Stimulation, Sean Flynn, Parris Egbert
Utah Space Grant Consortium
An Eulerian approach to fluid flow provides an efficient stable paradigm for realistic fluid simulation. However its reliance on a fixed-resolution grid is not ideal for simulations that exhibit both large and small-scale fluid phenomena. A coarse grid can efficiently capture large-scale effects like ocean waves, but lacks the resolution needed for small-scale phenomena like droplets. On the other hand, a fine grid can capture these small-scale effects, but is inefficient for large-scale phenomena. Magnetic fluid, or ferrofluid, illustrates this problem with its very fine detail centered about a magnet and lack of detail elsewhere. Our new fluid simulation technique …
Targeting Sram Fpga Components Using A Two-Photon Absorption Laser, Matthew Cannon Andrés Pérez-Celis, Michael Wirthlin
Targeting Sram Fpga Components Using A Two-Photon Absorption Laser, Matthew Cannon Andrés Pérez-Celis, Michael Wirthlin
Utah Space Grant Consortium
State-of-the-art SRAM FPGAs (Field Programmable Gate Arrays) are being increasingly considered for use in space applications, due to their reprogrammability and many dedicated resources that implement many common tasks at high speeds. However, the programmable fabric and resources are susceptible to ionizing radiation common in space, causing the device to fail. The radiation effects of all the components need to be known in order to develop effective mitigation techniques. This information, however, is difficult to obtain through typical broadbeam ion testing, due to low observability rates of the components. This paper present the results of a study to use a …
Implementation Of Openfoam For Inviscid Incompressible Aerodynamic Flows, Jackson T. Reid, Douglas F. Hunsaker
Implementation Of Openfoam For Inviscid Incompressible Aerodynamic Flows, Jackson T. Reid, Douglas F. Hunsaker
Utah Space Grant Consortium
This paper is the description of the Utah State University AeroLab’s Aerodynamic Center Analysis Tool (AeroCAT), which is an implementation of the OpenFOAM CFD toolbox. AeroCAT takes in a user input file, generates a mesh, and solves a steady, inviscid, incompressible flow, automatically repeating the process for a range of angles of attack. It then processes the results to predict the wing’s span-wise locus of aerodynamic centers. The mesh generator used in this tool is GridX, developed by a former PhD student at USU, and the CFD solver is OpenFOAM.
Simultaneous Two-Site Photometry In Attitude Determination Of Resident Space Objects, Arun Bernard, David Geller
Simultaneous Two-Site Photometry In Attitude Determination Of Resident Space Objects, Arun Bernard, David Geller
Utah Space Grant Consortium
Attitude determination of space objects is difficult due to the non-linearity of the data and sparseness of available measurements. The combination of simultaneous photometry from two observation sites allows for more information to be obtained in a shorter amount of time. The characterization of the parameters necessary to complete this simultaneous two-site photometry are presented along with simulated results.
Learning The Language Of Genes: Representing Global Codon Bias With Deep Language Models, M. Stanley Fujimoto, Paul M. Bodily, Cole A. Lyman, J. Andrew Jacobsen, Mark J. Clement
Learning The Language Of Genes: Representing Global Codon Bias With Deep Language Models, M. Stanley Fujimoto, Paul M. Bodily, Cole A. Lyman, J. Andrew Jacobsen, Mark J. Clement
Utah Space Grant Consortium
Codon bias, the usage patterns of synonymous codons for encoding a protein sequence as nucleotides, is a biological phenomenon that is not well understood. Current methods that measure and model the codon bias of an organism exist for usage in codon optimization. In synthetic biology, codon optimization is a task the involves selecting the appropriate codons to reverse translate a protein sequence into a nucleotide sequence to maximize expression in a vector. These features include codon adaptation index (CAI) [1], individual codon usage (ICU), hidden stop codons (HSC) [2] and codon context (CC) [3]. While explicitly modeling these features has …
Lab-On-A-Chip Biosensor For Interplanetary Life Detection Missions, Thomas Wall
Lab-On-A-Chip Biosensor For Interplanetary Life Detection Missions, Thomas Wall
Utah Space Grant Consortium
Space research still consists of the major goal of the successful detection of life on another planet. The 2012 biological and life detection (BOLD) mission to Mars included the ARROW biosensor as one of its main life detection tools for the mission. Although the mission never went forward, the ARROW biosensor remains an obvious choice for interplanetary life detection missions. The sensor is cheap, small, lightweight, and very sensitive. All of these factors helped make it the candidate of choice for the BOLD mission to Mars and still make it a good candidate today. Since 2012, the ARROW biosensor has …
Testing An Oxygen Demand Delivery Device, Kyle M. Burk, Joseph A. Orr
Testing An Oxygen Demand Delivery Device, Kyle M. Burk, Joseph A. Orr
Utah Space Grant Consortium
Anesthesia care providers routinely deliver supplemental O2 during monitored anesthesia care to prevent hemoglobin desaturation. The existing method of delivery, however, contributes to complications including respiratory depression and fire hazard. Patient variability also makes delivering O2 difficult. We have developed a demand oxygen delivery system that only gives oxygen during early inspiration. We designed a volunteer study to evaluate patient monitoring and to compare continuous flow to demand delivery. We hypothesized that ceasing oxygen delivery during expiration will facilitate reliable capnography in non-intubated patients. We also hypothesized that delivering oxygen on demand leads to higher alveolar oxygen concentrations and higher …
Detecting Low Respiratory Rates Using Myriad, Low-Cost Sensors, Sean Ermer, Lara Brewer, Kai Kuck, Joseph Orr
Detecting Low Respiratory Rates Using Myriad, Low-Cost Sensors, Sean Ermer, Lara Brewer, Kai Kuck, Joseph Orr
Utah Space Grant Consortium
The underlying problem for two of the three most common patterns of unexpected hospital deaths (PUHD) is hypoventilation1. Current methods of post-operative respiratory monitoring give delayed signals and have a high false positive rate leading nurses to ignore alarms. We hypothesize there exists a combination of low cost sensors which are capable of providing real time feedback and alarms regarding obstructive sleep apnea and ventilatory depression. Such a monitor would be useful during space travel when monitoring personnel are limited following an injury or if astronauts were to be sedated during extended travel. Methods: Twenty-six subjects were recruited …
A Numerical Study Of The Development Of Inducer Backflow, D. Tate Fanning
A Numerical Study Of The Development Of Inducer Backflow, D. Tate Fanning
Utah Space Grant Consortium
Inducers are used as a first stage in pumps to hinder cavitation and promote stable flow. Inducers pressurize the working fluid sufficiently such that cavitation does not develop in the rest of the pump, which allows the pump to operate at lower inlet head conditions. Despite the distinct advantages of inducer use, an undesirable region of backflow and resulting cavitation can form near the tips of the inducer blades. This backflow is often attributed to tip leakage flow, or the flow induced by the pressure differential across an inducer blade at the tip. We examine backflow of a single inducer …