Engineering Commons^™

Saving Software And Using Emulation To Reproduce Computationally Dependent Research Results, Euan Cochrane, Limor Peer, Ethan Gates, Seth Anderson

Yale Day of Data

Using digital data necessarily involves software. How do institutions think about software in the context of the long-term usability of their data assets? How do they address usability challenges uniquely posed by software such as, license restrictions, legacy software, code rot, and dependencies? These questions are germane to the agenda set forth by the FAIR principles. At Yale University, a team in the Library is looking into the application of a novel approach to emulation as a potential solution. In this presentation, we will outline the work of the Emulation as a Service Infrastructure (EaaSI) program, discuss our plans for …

How Unstructured Data From The Data Warehouse Can Be Used With Machine Learning And Visualization To Develop Novel Medical Technologies, Alfred A. Cecchetti

Faculty Research Day

Machine Learning (ML) can accurately classify and accurately predict disease as well as other medical events.

Device Programming, especially smartphone applications, can provide new ways to acquire, transport, store, process, and secure personalized patient data to deliver meaningful results.

Combating Intersection-Related Imposter Phenomenon In The Workplace Through Career Readiness, Simone Stewart

Black Issues Conference

Research has determined that Impostor Phenomenon (IP) most likely occurs in members of minority groups, students, first generation professionals and persons for whom success came quickly. Other studies have shown that many professional women are One of the ways to combat IP is through the development of competencies needed in your career. Attend this workshop to learn how to develop strategies to approach career competency while on campus and throughout your career to keep you on top of your game!

Multidisciplinary Education And Research In Biomathematics For Solving Global Challenges, Padmanabhan Seshaiyer

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Predicting Tgf-Β-Induced Epithelial-Mesenchymal Transition Using Data Assimilation, Mario J. Mendez, Matthew J. Hoffman, Elizabeth M. Cherry, Dr. Christopher Lemmon, Seth Weinberg

Biology and Medicine Through Mathematics Conference

No abstract provided.

Age Dependent Regulation Of Cardiac Sodium Channel Gain Of Function, Madison Nowak, David Ryan King, Steven Poelzing, Seth Weinberg

Biology and Medicine Through Mathematics Conference

No abstract provided.

Coupled Influence Of Heart Rate Variability And Subcellular Calcium Heterogeneity On Cardiac Electromechanical Dynamics, Vrishti M. Phadumdeo, Seth H. Weinberg Ph.D

Biology and Medicine Through Mathematics Conference

No abstract provided.

Immunofluorescence Image Feature Analysis And Clustering Pipeline For Distinguishing Epithelial-Mesenchymal Transition, Shreyas Hirway, Nadiah Hassan, Dr. Christopher Lemmon, Dr. Seth Weinberg

Biology and Medicine Through Mathematics Conference

No abstract provided.

Forecasting Model For Disease Propensity Using Ehr Data, Soodabeh Sarafrazi, Omar Sharif, Matthew Domingo, Jie Han, Michael Chang, Omid Khazaie, Anil Kemisetti

Creative Activity and Research Day - CARD

Many diseases such as diabetes and cardiovascular diseases are actionable, i.e. they are preventable by early intervention. One to two years of early warning would represent a huge advance in dealing with these conditions and could help prevent further complications such as heart disease, stroke, kidney failure, blindness, and amputation. In this project, we are developing an extensible condition forecasting model to assess the risk of diabetes and heart problems in patients in advance. Using TensorFlow, Elastic MapReduce (EMR), and AWS Sagemaker, we are training a Wide and Deep Neural Network on a dataset of more than 170 million electronic …

Deep Learning, Medical Physics And Cargo Cult Science., Miguel Romero Phd, Gilmer Valdes Phd, Timothy Solberg Phd, Yannet Interian Phd

Creative Activity and Research Day - CARD

Deep learning algorithms have become widely popular, with considerable success in fields where datasets have hundreds of thousands or million points. As deep learning is increasingly applied to the fields of medical physics and radiation oncology, a reasonable question follows: are these techniques the best approach, given the unique conditions in our field? In this study, we investigate the dependence of dataset size on the performance of deep learning algorithms compared with more traditional radiomics-based methods.

Establishment Of 3-D Human Colorectal Cancer Spheroids, India Barnett

Kansas State University Undergraduate Research Conference

Three-Dimensional (3D) cell culture plays an important role in cancer biology by providing a life-like microenvironment as a model for drug discovery and treatment. Hydrogels, like many other 3D scaffolds, demonstrate a unique property as matrices for 3D cell culture. The goal of this project is to establish a 3D cell culture for colorectal cancer and apply this 3D model to drug testing. Colorectal cancer is one of the most common cancers in the United States with an early detection rate of 39%. Previously, 2D cell culture of human colorectal cancer cells, SW480, was used to determine the efficacy of …

12th Annual Research Week--Event Proceedings, Office Of Research And Sponsored Projects Operations

Research Week Archived Proceedings

12th Annual Research Week

"A Celebration of Student Research"

Fluoride Removal From Water Using A 3d Printed Calcium Carbonate Filter, Sophia Bakar, David Kahler, Benjamin S. Goldschmidt

Undergraduate Research and Scholarship Symposium

Groundwater containing high concentrations of fluoride is the most common source of drinking water in rural areas in parts of east Africa, India, and China. The elevated levels of fluoride cause skeletal and dental fluorosis, which is the weakening and decay of bone structures due to the leeching of calcium from the body as calcium and fluoride bond by the process of adsorption. Over 150 million people are suffering from some form of fluorosis due to the consumption of groundwater. Calcium carbonate has been demonstrated to influence fluoride removal in several forms. To make fluoride removal a cost-effective and user-friendly …

Quantifying Iron Overload Using Mri, Active Contours, And Convolutional Neural Networks, Andrea Sajewski, Stacey Levine

Undergraduate Research and Scholarship Symposium

Iron overload, a complication of repeated blood transfusions, can cause tissue damage and organ failure. The body has no regulatory mechanism to excrete excess iron, so iron overload must be closely monitored to guide therapy and measure treatment response. The concentration of iron in the liver is a reliable marker for total body iron content and is now measured noninvasively with magnetic resonance imaging (MRI). MRI produces a diagnostic image by measuring the signals emitted from the body in the presence of a constant magnetic field and radiofrequency pulses. At each pixel, the signal decay constant, T2*, can be calculated, …

(Poster) Design And Fabrication Of A Custom Wrist Orthosis For Enhanced Patient Comfort, Marko Tasic, Matthew Hansen, Mang Lian, Demetre Mitchell, Rashedul Sarker, Renny Fernandez, Erin Peterson, Joseph Herzog, David Olawale, Najmus Saqib

ASEE IL-IN Section Conference

This custom wrist orthosis project is the continuation of efforts made by students in the R.B Annis School of Engineering during the 2017-2018 academic year. Throughout this project, we have implemented the Design for Six Sigma (DFSS) methodology to guide the design process. Within the R.B. Annis School of Engineering, this methodology has been adapted into guide the DesignSpine process. We have designed a new orthosis that is custom fabricated for enhanced patient comfort. In the occupational therapy field, patients have reportedly not been wearing their prescribed orthoses/braces, which are designed to stabilize injured areas so that they heal properly. …

Improving Access To Clean Water Through Service Learning, Rachel E. Gehr, Tolu Odimayomi, Carolina Tornesi Mackinnon

Engagement & Service-Learning Summit

No abstract provided.

Developing And Testing Of An Upper Limb Exoskeleton For Stroke Patients, Drew Dudley, David Salazar

UNO Student Research and Creative Activity Fair

Objective: The main objective of this study was to determine functional and neuromuscular outcomes of stroke patients using their non-preferred hand with and without a 3D printed passive exoskeleton compared to controls using their non-preferred hand with and without the passive exoskeleton. Methods: Adults at least six months post stroke (Stroke, n = 5) and age- and sex- matched healthy controls (Control, n = 5) performed nine trials of a gross motor task while having their brain activity measured. The Fugl-Meyer and “Box and Block” test was used to measure the gross dexterity of the subjects with and without the …

Efficacy Of Assistive Devices Produced With Additive Manufacturing, James Pierce

UNO Student Research and Creative Activity Fair

Despite the frequency of musculoskeletal injuries such as sprains, broken bones and torn ligaments¹, treatment options are often costly, time-consuming and ill-fitted.^2,3 Additive manufacturing (“3D-printing) allows for the production of highly-customized and inexpensive assistive devices⁴, which suggests potential efficacy in the prescription of splints and casts for musculoskeletal injury.³ In the present study, a parametric, customizable splint/cast was created using a computer-aided design (CAD) package (Fusion 360, Autodesk, San Rafael, CA, USA) and produced with low-cost, desktop 3D printing (Ultimaker 2+ Extended, Ultimaker, Geldermalsen, Netherlands). Fitting of the devices was performed on five healthy …

Visual Contributions To Balance Control During Gait, Kyle Brozek

UNO Student Research and Creative Activity Fair

We propose to isolate the contributions of continuous OF to the orthogonal relationship between balance and gait control during treadmill walking using a series of conditions. Manipulating the direction of OF using a CAREN (Motek Medical, Amsterdam, Netherlands) virtual reality treadmill environment will isolate these visual contributions in human subjects as they walk. We plan to tease out the effect of OF direction on the relationship between gait and balance control by having healthy young adults perform a series of treadmill walking trials while immersed in a VR environment. This will be done by manipulating the direction of walking and …

Gait Alterations In Peripheral Arterial Disease Are Not Worsened By The Presence Of Diabetes, Hafizur Rahman

UNO Student Research and Creative Activity Fair

Peripheral arterial disease (PAD) is a vascular disease where atherosclerotic blockages restrict blood flow to muscles in the lower extremities. Diabetes is a common co-morbid condition in PAD and has been shown to increase the risk of lower extremity amputation compared to PAD without diabetes. Although there is a clear pathological relationship between diabetes and PAD, the gait mechanics involved remain indistinct. Therefore, the purpose of this study was to determine whether the presence of diabetes in addition to PAD results in greater functional impairment during ambulation. Twenty-three subjects with PAD and twelve controls consented to participate in the research. …

Estimating Variations In Metabolic Cost Within The Stride Cycle During Level And Uphill Walking, Arash Mohammadzadeh Gonabadi

UNO Student Research and Creative Activity Fair

Indirect calorimetry provides the average cost of a stride cycle and prevents from identifying which part of the gait cycle causes increased metabolic cost in patients, however, recent simulation methods allow estimating the time profile of metabolic cost within the stride cycle. In this study, we compare the estimations of the time profile of the metabolic cost of two simulation methods for level and uphill walking. We used kinematic, kinetic and electromyography data from level and uphill walking (one participant) to estimate the time profiles of metabolic cost using the muscle-level metabolic model of Umberger using electromyography and kinematic data …

The Energy Paradox Of The Ankle-Foot Complex During Human Walking, Nikolaos Papachatzis, Kota Takahashi

UNO Student Research and Creative Activity Fair

Flexor hallucis longus (FHL) is a multiarticular muscle that possesses the potential to alter foot’s functional and mechanical behavior, since it performs multiple significant functions during walking (e.g supports the medial longitudinal arch of the foot).The purpose of this study was to determine if the functional changes of the FHL are associated with the foot’s adaptations to the mechanical demands of walking. Backward walking is an experimental method capable of altering how the forces propagate underneath the foot and disrupting the mechanical function of the FHL muscle. We hypothesized that: (1) the muscle activity of the FHL will increase during …

The Comparison Of Verbalized Feedback In Human To Computer Interfacing Versus Human To Human Interaction, Kea Francis

EURēCA: Exhibition of Undergraduate Research and Creative Achievement

The project evaluates response to social robots for purposeful tasks. The study uses a social robot, Rapiro, along with a smartphone that serves as a visual interface for the robot system. My role was to design a program on a Raspberry Pi that allows simultaneous control of Rapiro’s actions and a response from a phone application. The phone app is downloaded to an Android phone and designed using MIT App Inventor software. This allows pre-programmed and real-time control of the robot. The user inputs what they want the robot to say through the terminal of the Raspberry Pi. Through serial …