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2017

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Articles 1921 - 1950 of 8353

Full-Text Articles in Engineering

A Compact Energy-Independent Czt-Based Gamma Camera, Youngho Seo, Yonggang Cui, Paul O'Connor, Qiu Huang, Ralph B. James, Debasis Mitra, Hui Pan Aug 2017

A Compact Energy-Independent Czt-Based Gamma Camera, Youngho Seo, Yonggang Cui, Paul O'Connor, Qiu Huang, Ralph B. James, Debasis Mitra, Hui Pan

Electrical Engineering and Computer Science Faculty Publications

Conventional gamma cameras are heavy and occupy large volume for all required hardware components. Direct-conversion solid-state detectors like cadmium zinc telluride (CZT) enable a compact design of gamma cameras. In addition, conventional gamma cameras require different collimators for different gamma-ray photon energies, and the change of collimators between studies sometimes disrupts the workflow. To ease this inconvenience (i.e., bulkiness and collimator change), we have recently developed a compact, CZT-based, energy-independent gamma camera that requires only one collimator to cover a broad range of photon energies. In this paper, we show our design parameters and system specifications as well as simulation …

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Determination Of Recovery Time For A Simple Lifting Task Based On Weight, Frequency, And Duration Of The Lift, Milad Amini Aug 2017

Determination Of Recovery Time For A Simple Lifting Task Based On Weight, Frequency, And Duration Of The Lift, Milad Amini

LSU Master's Theses

Musculoskeletal disorders (MSDs) are a leading cause of injury in American workplaces which cost the economy billions of dollars each year. Extensive research has shown that job fatigue is one of the causes of MSDs. Allocating frequent and adequate rest break is suggested to be an effective method in mitigating the work overload and fatigue prevention. The objective of this research was to determine rest periods for lifting tasks based on the activity heart rate and by using a set of task variables. Twenty-four university male students took part in this study. The two response variables were perceived level of …

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15-10 Development Of Multi-Class, Multi-Criteria Bicycle Traffic Assignment Models And Solution Algorithms, Seungkyu Ryu, Anthony Chen, Keith Christensen, Keechoo Choi Aug 2017

15-10 Development Of Multi-Class, Multi-Criteria Bicycle Traffic Assignment Models And Solution Algorithms, Seungkyu Ryu, Anthony Chen, Keith Christensen, Keechoo Choi

Transportation Research Center Reports

Cycling is gaining popularity both as a mode of travel in urban communities and as an alternative mode to private motorized vehicles due to its wide range of benefits (health, environmental, and economical). However, this change in modal share is not reflected in current transportation planning and travel demand forecasting modeling processes. The existing practices to model bicycle trips in a network are not sophisticated enough to describe the full cyclist experience in route decision-making. The purpose of this paper is to develop a multi-class and multi-criteria bicycle traffic assignment model that not only accounts for multiple user classes by …

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Cancer Diagnosis By Bioimpedance Spectroscopy And Computer-Assisted Pattern Recognition, Shahriar Shams Aug 2017

Cancer Diagnosis By Bioimpedance Spectroscopy And Computer-Assisted Pattern Recognition, Shahriar Shams

Mechanical Engineering Research Theses and Dissertations

The field of cancer diagnostics has always been one of the most complex and challenging areas in biomedical research, and there has been an increasing demand for more advanced clinical diagnostic equipment over the past four decades. In this thesis, a custom-made coaxial bioimpedance sensor was used, in combination with computer-aided pattern recognition tools, to identify cancer in tissue samples obtained from the formalin-fixed kidney of a 60 year-old male patient. Impedance data was collected using the coaxial sensor at 401 logarithmically-spaced frequency points ranging from 10 kHz to 100 MHz. Principle Component Analysis and Naive Bayes Classification techniques were …

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Ancr—An Adaptive Network Coding Routing Scheme For Wsns With Different-Success-Rate Links †, Xiang Ji, Anwen Wang, Chunyu Li, Chun Ma, Yao Peng, Dajin Wang, Qingyi Hua, Feng Chen, Dingyi Fang Aug 2017

Ancr—An Adaptive Network Coding Routing Scheme For Wsns With Different-Success-Rate Links †, Xiang Ji, Anwen Wang, Chunyu Li, Chun Ma, Yao Peng, Dajin Wang, Qingyi Hua, Feng Chen, Dingyi Fang

Department of Computer Science Faculty Scholarship and Creative Works

As the underlying infrastructure of the Internet of Things (IoT), wireless sensor networks (WSNs) have been widely used in many applications. Network coding is a technique in WSNs to combine multiple channels of data in one transmission, wherever possible, to save node’s energy as well as increase the network throughput. So far most works on network coding are based on two assumptions to determine coding opportunities: (1) All the links in the network have the same transmission success rate; (2) Each link is bidirectional, and has the same transmission success rate on both ways. However, these assumptions may not be …

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Systems Design Against Attacks: A Tri-Level Network Operation Model In Oil / Gas Production And Distribution, Mustafa Alassad Aug 2017

Systems Design Against Attacks: A Tri-Level Network Operation Model In Oil / Gas Production And Distribution, Mustafa Alassad

Theses and Dissertations

The oil and gas distribution networks are systems of external pipelines that are suffering from heterogeneous threats. Accordingly, hardening strategies against malicious attacks are discussed, where a tri-level leader-follower-operator game is established for determining the optimum fortification tactics to protect the critical assets considering the defender’s limited resources. In addition, the shared cognition concept is mathematically modeled by including defender’s deception. The resulted multi-origin(O)-destination(D) mixed integer nonlinear programming problem is decomposed into a master and sub-problem for illustrating the defender-operator and attacker-operator respectively. Furthermore, the bi-level sub-problem is successfully converted to a single level via duality theorem. In light of …

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Investment Plan Against Malicious Attacks On Power Networks: Multilevel Game-Theoretic Models With Shared Cognition, Hamzeh Davarikia Aug 2017

Investment Plan Against Malicious Attacks On Power Networks: Multilevel Game-Theoretic Models With Shared Cognition, Hamzeh Davarikia

Theses and Dissertations

The work reported in this thesis aims at developing a practical tool for utility transmission planners to protect power network from potential attacks. To efficiently address the problem, we propose a new formulation for defender which has a promising result than its counterpart. Moreover, the optimum defending strategy in power network is modeled which return the best protecting strategy based on the defender resources. Going beyond the common approaches in literature, defender deception is mathematically formulated by releasing misinformation about his plan in the shared cognition based model. The problems are formulated as tri-level mixed-integer non-linear programming and exact linearization …

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Spatial Division Multiplexing Using Ince-Gaussian Beams, Sahil Sakpal Aug 2017

Spatial Division Multiplexing Using Ince-Gaussian Beams, Sahil Sakpal

Electrical Engineering Theses and Dissertations

In space division multiplexing (SDM) the spatial modes of a multimode optical fiber are used as individual data channels. SDM gives another degree of freedom over wavelength for increasing data transmission rates. As a result, SDM is a potential solution for more than 400Gbit/s requirements in data centers where scaling data transmission rates with parallel single mode optical fibers is currently ubiquitous. However, due to mode coupling, i.e., spatial modes exchange of power, SDM may require multiple inputs multiple output digital signal processing (MIMO-DSP) to mitigate resulting mode crosstalk, the cost and complexity of which may be prohibited in data …

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Shape-Adaptive Mechanism For Robotic Grasping, Carl A. Nelson Aug 2017

Shape-Adaptive Mechanism For Robotic Grasping, Carl A. Nelson

Department of Mechanical and Materials Engineering: Faculty Publications

A grapser can include a first pantograph cell and a second pantograph cell coupled with the first pantogrpah cell. The first and second pantograph cells can be coupled together at a first pivot and a second pivot. The grasper can also include a finger extendable in a direction extending between the first pivot and the second pivot. The grasper can include a support base, where one or more links of the first pantograph cell can be slidably coupled with the support base for extending the grasper. In some embodiment, the grasper can be configured to extend along a curved path. …

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The Application Of Proper Orthogonal Decomposition To Numerically Modeled And Measured Ocean Surface Wave Fields Remotely Sensed By Radar, Andrew Joseph Kammerer Aug 2017

The Application Of Proper Orthogonal Decomposition To Numerically Modeled And Measured Ocean Surface Wave Fields Remotely Sensed By Radar, Andrew Joseph Kammerer

Electronic Theses and Dissertations

Phase-resolved ocean surface wave elevation maps provide important information for many scientific research areas (e.g., rogue waves, wave-current interactions, and wave evolution/growth) as well as for commercial and defense applications (e.g., naval and shipping operations). To produce these maps, measurements in both time and space are necessary. While conventional wave sensing techniques are limited spatially, marine radar has proven to be a complex yet promising remote sensing tool capable of providing both temporal and spatial wave measurements. The radar return from the sea surface is complex because it contains contributions from many sources only part of which provide information about …

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Collaborative Research: Improving Student Learning In Hydrology & Water Resources Engineering By Enabling The Development, Sharing And Interoperability Of Active Learning Resources, David Tarboton Aug 2017

Collaborative Research: Improving Student Learning In Hydrology & Water Resources Engineering By Enabling The Development, Sharing And Interoperability Of Active Learning Resources, David Tarboton

Funded Research Records

No abstract provided.

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Metrology Of Dna Arrays By Super-Resolution Microscopy, Christopher M. Green, Kelly Schutt, Noah Morris, Reza M. Zadegan, William L. Hughes, Wan Kuang, Elton Graugnard Aug 2017

Metrology Of Dna Arrays By Super-Resolution Microscopy, Christopher M. Green, Kelly Schutt, Noah Morris, Reza M. Zadegan, William L. Hughes, Wan Kuang, Elton Graugnard

Materials Science and Engineering Faculty Publications and Presentations

Recent results in the assembly of DNA into structures and arrays with nanoscale features and patterns have opened the possibility of using DNA for sub-10 nm lithographic patterning of semiconductor devices. Super-resolution microscopy is being actively developed for DNA-based imaging and is compatible with inline optical metrology techniques for high volume manufacturing. Here, we combine DNA tile assembly with state-dependent super-resolution microscopy to introduce crystal-PAINT as a novel approach for metrology of DNA arrays. Using this approach, we demonstrate optical imaging and characterization of DNA arrays revealing grain boundaries and the temperature dependence of array quality. For finite arrays, analysis …

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Rocky Mountain Power Foundation Donates $13k To Usu Engineering | College Of Engineering, Usu College Of Engineering Aug 2017

Rocky Mountain Power Foundation Donates $13k To Usu Engineering | College Of Engineering, Usu College Of Engineering

College of Engineering News

The College of Engineering at Utah State University is honored to receive a generous $13,000 donation from the Rocky Mountain Power Foundation.

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Proton Transfer In Molten Lithium Carbonate: Mechanism And Kinetics By Density Functional Theory Calculations, Xueling Lei, Kevin Huang, Changyong Qin Aug 2017

Proton Transfer In Molten Lithium Carbonate: Mechanism And Kinetics By Density Functional Theory Calculations, Xueling Lei, Kevin Huang, Changyong Qin

Faculty Publications

Using static and dynamic density functional theory (DFT) methods with a cluster model of [(Li2CO3)8H]+, the mechanism and kinetics of proton transfer in lithium molten carbonate (MC) were investigated. The migration of proton prefers an inter-carbonate pathway with an energy barrier of 8.0 kcal/mol at the B3LYP/6-31 G(d,p) level, which is in good agreement with the value of 7.6 kcal/mol and 7.5 kcal/mol from experiment and FPMD simulation, respectively. At transition state (TS), a linkage of O–H–O involving O 2p and H 1 s orbitals is formed between two carbonate ions. The calculated trajectory of H indicates that proton has …

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Spatial Variation Analysis For Measured Indoor Massive Mimo Channels, Qi Wang, Bo Ai, David W. Matolak, Ruisi He, Ke Guan, Zhangdui Zhong, Dapeng Li Aug 2017

Spatial Variation Analysis For Measured Indoor Massive Mimo Channels, Qi Wang, Bo Ai, David W. Matolak, Ruisi He, Ke Guan, Zhangdui Zhong, Dapeng Li

Faculty Publications

As one of the most important candidate technologies for the fifth-generation wireless communication systems, massive MIMO technology has been widely studied recently because of the significant improvements it can provide in terms of spectrum efficiency and power efficiency. As the foundation of wireless communication, research on propagation characteristics for massive MIMO channels is of primary importance. This paper investigates the characteristics for massive MIMO channels in an indoor hall scenario at 6-GHz. Channel measurements were conducted with a bandwidth of 200 MHz in both line of sight (LOS) and non-LOS (NLOS) conditions. The statistical parameters in the delay domain were …

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Modeling Micro-Porous Surfaces For Secondary Electron Emission Control To Suppress Multipactor, James M. Sattler, Ronald Coutu Jr., Robert A. Lake, Tod V. Laurvick, Tyson C. Back, Steven. B. Fairchild Aug 2017

Modeling Micro-Porous Surfaces For Secondary Electron Emission Control To Suppress Multipactor, James M. Sattler, Ronald Coutu Jr., Robert A. Lake, Tod V. Laurvick, Tyson C. Back, Steven. B. Fairchild

Faculty Publications

This work seeks to understand how the topography of a surface can be engineered to control secondary electron emission (SEE) for multipactor suppression. Two unique, semi-empirical models for the secondary electron yield (SEY) of a micro-porous surface are derived and compared. The first model is based on a two-dimensional (2D) pore geometry. The second model is based on a three-dimensional (3D) pore geometry. The SEY of both models is shown to depend on two categories of surface parameters: chemistry and topography. An important parameter in these models is the probability of electron emissions to escape the surface pores. This probability …

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Tu-Pod: A Cube Satellite (Cubesat) And Tube Satellite Dispenser Produced Via 3d Printing, Successful Launch, Orbit And Dispensing Of Two Tube Satellites, Robert J. Twiggs, Matt Craft, Amin Djamshidpour, Chantal Cappelletti, Ken Biba, Stewart Davis Aug 2017

Tu-Pod: A Cube Satellite (Cubesat) And Tube Satellite Dispenser Produced Via 3d Printing, Successful Launch, Orbit And Dispensing Of Two Tube Satellites, Robert J. Twiggs, Matt Craft, Amin Djamshidpour, Chantal Cappelletti, Ken Biba, Stewart Davis

Robert "Bob" Twiggs STEM Education Collection

A PowerPoint Presentation created by Matt Craft, Amin Djamshidpour, Chantal Cappelletti, Bob Twiggs, Ken Biba, and Stewart Davis titled "TU-POD: A Cube Satellite (CubeSat) and Tube Satellite Dispenser Produced via 3D Printing, Successful Launch, Orbit and Dispensing of Two Tube Satellites" from August 6, 2017.

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Improving Disciplinary Literacy In An Electronics Course, Ohbong Kwon, Juanita C. But, Sunghoon Jang Aug 2017

Improving Disciplinary Literacy In An Electronics Course, Ohbong Kwon, Juanita C. But, Sunghoon Jang

Publications and Research

Electronics (EMT1255) is a required course for the Associate Degree in Applied Science (AAS) in Electromechanical Engineering Technology (EMT) at New York City College of Technology. EMT1255 introduces semiconductor devices and their applications in electronic-circuits. Students are expected to understand the structures and principles of semiconductor devices and the configuration and principles of basic electronic circuits. They also learn to analyze and design electronic circuits. In the lab setting, they acquire troubleshooting knowledge and hands-on technical skills. In this reading intensive course, students need to read the lab manual and a textbook of over 700 pages. Therefore, reading and understanding …

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Swbec Research And Development Ventures Receives Media Coverage In "Utah Business Magazine" | Sustainable Waste-To-Bioproducts Engineering Center, Usu College Of Engineering Aug 2017

Swbec Research And Development Ventures Receives Media Coverage In "Utah Business Magazine" | Sustainable Waste-To-Bioproducts Engineering Center, Usu College Of Engineering

College of Engineering News

The article highlights the research and development regarding treatment of fracking wastewater that the Sustainable Waste to Bioproducts Engineering Center at USU has spearheaded and continues to develop.

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Reducing Equifinality Using Isotopes In A Process-Based Stream Nitrogen Model Highlights The Flux Of Algal Nitrogen From Agricultural Streams, William I. Ford, James F. Fox, Erik Pollock Aug 2017

Reducing Equifinality Using Isotopes In A Process-Based Stream Nitrogen Model Highlights The Flux Of Algal Nitrogen From Agricultural Streams, William I. Ford, James F. Fox, Erik Pollock

Biosystems and Agricultural Engineering Faculty Publications

The fate of bioavailable nitrogen species transported through agricultural landscapes remains highly uncertain given complexities of measuring fluxes impacting the fluvial N cycle. We present and test a new numerical model named Technology for Removable Annual Nitrogen in Streams For Ecosystem Restoration (TRANSFER), which aims to reduce model uncertainty due to erroneous parameterization, i.e., equifinality, in stream nitrogen cycle assessment and quantify the significance of transient and permanent removal pathways. TRANSFER couples nitrogen elemental and stable isotope mass‐balance equations with existing hydrologic, hydraulic, sediment transport, algal biomass, and sediment organic …

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Effect Of Label Noise On The Machine-Learned Classification Of Earthquake Damage, Jared Frank, Umaa Rebbapragada, James Bialas, Thomas Oommen, Timothy C. Havens Aug 2017

Effect Of Label Noise On The Machine-Learned Classification Of Earthquake Damage, Jared Frank, Umaa Rebbapragada, James Bialas, Thomas Oommen, Timothy C. Havens

Michigan Tech Publications, Part 1

Automated classification of earthquake damage in remotely-sensed imagery using machine learning techniques depends on training data, or data examples that are labeled correctly by a human expert as containing damage or not. Mislabeled training data are a major source of classifier error due to the use of imprecise digital labeling tools and crowdsourced volunteers who are not adequately trained on or invested in the task. The spatial nature of remote sensing classification leads to the consistent mislabeling of classes that occur in close proximity to rubble, which is a major byproduct of earthquake damage in urban areas. In this study, …

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Exploring A New Class Of Effective Interactions In Crowded Environment, Nicoletta Gnan, Nicolas Ariel Garcia, Emanuela Zaccarelli Aug 2017

Exploring A New Class Of Effective Interactions In Crowded Environment, Nicoletta Gnan, Nicolas Ariel Garcia, Emanuela Zaccarelli

Association in Solution IV

Colloidal suspensions are complex fluids involving many length and time scales. In order to make progress in their investigation, we often rely on coarse-grained models giving rise to effective potentials among colloidal particles, where some degrees of freedom can be traced out. In general, these amount to implicitly include the effect of the solvent and of co-solute small particles in a description for the large colloids only. By this route, it has been shown that effective forces can deeply modify the phase diagram of colloidal particles, starting with the pioneering case of depletion interactions [1]. More recently, colloidal effective interactions …

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Fundamental Characterization Of Oxygen Nanobubbles, John Hamlin, Yi Wen, Joseph Irudayaraj Aug 2017

Fundamental Characterization Of Oxygen Nanobubbles, John Hamlin, Yi Wen, Joseph Irudayaraj

The Summer Undergraduate Research Fellowship (SURF) Symposium

A hypoxic environment is created by tumors’ incredible growth rate. Hypoxia provides radioresistance to the tumors, thus making radiation treatment less effective. The issue is that increasing the radiation leads to increased side effects in patients. Our goal for the oxygen-filled nanobubble is to deliver oxygen to the tumor to lessen radioresistance and make radiation treatment more efficient. However, we need preliminary research to understand and improve the nanobubbles before further research and implementation. To do this, we synthesized different batches of nanobubbles to optimize the production method and find the best container and temperature to store nanobubbles. We measured …

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The Influence Of Macroscale Stress Concentrations On The Near-Resonant Thermomechanics Of Mock Energetic Materials, Lauren A. Cooper, Allison R. Range, Jeffrey F. Rhoads Aug 2017

The Influence Of Macroscale Stress Concentrations On The Near-Resonant Thermomechanics Of Mock Energetic Materials, Lauren A. Cooper, Allison R. Range, Jeffrey F. Rhoads

The Summer Undergraduate Research Fellowship (SURF) Symposium

The characterization of particulate composite energetic materials, both with and without stress concentration, is currently of great interest to the defense community. This work seeks to further characterize the self-heating effect of composite energetic plates, particularly around regions of high stress, when subjected to harmonic excitation near resonance. Mock energetic plates with macroscale stress concentrations are prepared in various compositions based on the PBXN-109 formulation, and are tested near the first resonant frequency using an electrodynamic shaker. The resulting mechanical and thermal responses are recorded using a laser Doppler vibrometer and an infrared camera, respectively. Upon comparison between the regions …

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Visually Analyzing The Impacts Of Essential Air Service Funding Decisions, Rohan Kashuka, Chittayong Surakitbanharn, Calvin Yau, David S. Ebert Aug 2017

Visually Analyzing The Impacts Of Essential Air Service Funding Decisions, Rohan Kashuka, Chittayong Surakitbanharn, Calvin Yau, David S. Ebert

The Summer Undergraduate Research Fellowship (SURF) Symposium

Essential Air Service (EAS) is a U.S. government subsidy program which ensures maintenance of commercial airline services in small deregulated communities. The program’s budget currently is around $250 million annually, which is used as subsidy for airlines to maintain a minimal level of scheduled air service in relatively smaller airports. It is evident that 2% of the FAA budget is being spent to maintain air service in smaller communities, but there is not enough evidence to prove that all the current decisions made by Congress about EAS are advantageous. To understand these decisions, 15 years of data produced by the …

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Performance Of Mud Mortar Walls Under Seismic Loading, Christian L. Berneking Vi, Santiago Pujol, Prateek Pratap Shah, Lucas Laughery Aug 2017

Performance Of Mud Mortar Walls Under Seismic Loading, Christian L. Berneking Vi, Santiago Pujol, Prateek Pratap Shah, Lucas Laughery

The Summer Undergraduate Research Fellowship (SURF) Symposium

The inherently brittle nature of unreinforced masonry structures results in poor performance during earthquakes, presenting major hazards to communities. Many of these structures found in Nepal were severely damaged or destroyed during two earthquakes in 2015. The purpose of this project is to test the effect on seismic response of several modifications to stone and mud mortar structures. These structures are common in many areas of Nepal. Two T-shaped stone and mud mortar masonry walls are constructed. The first wall has no modifications and represents current building practices. The second wall uses steel wire mesh as external reinforcement. Each wall …

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Assessment Of The Ecosystem Services Of Rain Gardens, Hannah M. Hawrot, Dr. Sara Mcmillan, Rachel Scarlett Aug 2017

Assessment Of The Ecosystem Services Of Rain Gardens, Hannah M. Hawrot, Dr. Sara Mcmillan, Rachel Scarlett

The Summer Undergraduate Research Fellowship (SURF) Symposium

Stormwater runoff from impervious surfaces contributes to degradation of urban stream ecosystems. Impacts include increased flooding, water quality impairment, and disruption of habitats. Rain gardens are a type of green infrastructure designed to mitigate the adverse effects of stormwater runoff by promoting evapotranspiration, reducing peak flows, and retaining pollutants. Rain gardens can provide additional ecosystem services, defined as benefits that ecosystems provide to people. This includes, but is not limited to, increasing biodiversity by providing habitat, creating green spaces for recreation, and storing carbon. To date, little research has been done integrating these multiple services. My research measured water quality, …

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Smartphone-Based Microscope For Pathogen Detection, Meghan E. Henderson, Katherine N. Clayton, Ryan M. Preston, Jacqueline Linnes, Tamara L. Kinzer-Ursem Aug 2017

Smartphone-Based Microscope For Pathogen Detection, Meghan E. Henderson, Katherine N. Clayton, Ryan M. Preston, Jacqueline Linnes, Tamara L. Kinzer-Ursem

The Summer Undergraduate Research Fellowship (SURF) Symposium

Vibrio cholerae is a water and food borne bacteria that causes cholera, a severe acute diarrheal disease, when ingested and when left untreated, can cause patient death within hours. Currently there is a lack of both sensitive and rapid portable detection technologies of V. cholerae for testing water and food samples. Combining nucleic acid amplification and particle diffusometry present an alternative detection method for V. cholerae in under 30 minutes, but the process requires an expensive laboratory microscope. In this work, we develop a smartphone-based microscope to detect V. cholerae DNA in environmental water samples using particle diffusometry. A modular …

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Radcool: A Web-Enabled Simulation Tool For Radiative Cooling, Yu-Wen Lin, Evan L. Schlenker, Zhiguang Zhou, Peter Bermel Aug 2017

Radcool: A Web-Enabled Simulation Tool For Radiative Cooling, Yu-Wen Lin, Evan L. Schlenker, Zhiguang Zhou, Peter Bermel

The Summer Undergraduate Research Fellowship (SURF) Symposium

Thermophotovoltaic (TPV) systems can generate electricity from high-temperature heat sources via thermal radiation. However, the intense heating of a photovoltaic (PV) cell can greatly reduce the overall efficiency of the system. Therefore, it is critical to develop techniques to keep the PV cells close to ambient temperature without consuming energy. Radiative cooling is a passive technique that dissipates heat into remote space via thermal radiation. A simulation tool to predict the performance of radiative cooling systems would be particularly helpful in designing new experiments. The current TPV model simulation tool, TPVexpt, can calculate the theoretical performance of the TPV system. …

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Predictive Power And Validity Of Connectome Predictive Modeling: A Replication And Extension, Michael Wang, Joaquin Goni, Enrico Amico Aug 2017

Predictive Power And Validity Of Connectome Predictive Modeling: A Replication And Extension, Michael Wang, Joaquin Goni, Enrico Amico

The Summer Undergraduate Research Fellowship (SURF) Symposium

Neuroimaging, particularly functional magnetic resonance imaging (fMRI), is a rapidly growing research area and has applications ranging from disease classification to understanding neural development. With new advancements in imaging technology, researchers must employ new techniques to accommodate the influx of high resolution data sets. Here, we replicate a new technique: connectome-based predictive modeling (CPM), which constructs a linear predictive model of brain connectivity and behavior. CPM’s advantages over classic machine learning techniques include its relative ease of implementation and transparency compared to “black box” opaqueness and complexity. Is this method efficient, powerful, and reliable in the prediction of behavioral measures …

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