Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Keyword
- Publication
-
- Biology and Medicine Through Mathematics Conference (4)
- UNO Student Research and Creative Activity Fair (3)
- Undergraduate Research and Scholarship Symposium (2)
- ASEE IL-IN Section Conference (1)
- Annual Symposium on Biomathematics and Ecology Education and Research (1)
-
- Black Issues Conference (1)
- Creative Activity and Research Day - CARD (1)
- EURēCA: Exhibition of Undergraduate Research and Creative Achievement (1)
- Engagement & Service-Learning Summit (1)
- Faculty Research Day (1)
- Kansas State University Undergraduate Research Conference (1)
- Research Week Archived Proceedings (1)
- Yale Day of Data (1)
Articles 1 - 19 of 19
Full-Text Articles in Engineering
Saving Software And Using Emulation To Reproduce Computationally Dependent Research Results, Euan Cochrane, Limor Peer, Ethan Gates, Seth Anderson
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
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
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
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
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
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.
Immunofluorescence Image Feature Analysis And Clustering Pipeline For Distinguishing Epithelial-Mesenchymal Transition, Shreyas Hirway, Nadiah Hassan, Dr. Christopher Lemmon, Dr. Seth Weinberg
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.
Coupled Influence Of Heart Rate Variability And Subcellular Calcium Heterogeneity On Cardiac Electromechanical Dynamics, Vrishti M. Phadumdeo, Seth H. Weinberg Ph.D
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.
Forecasting Model For Disease Propensity Using Ehr Data, Soodabeh Sarafrazi, Omar Sharif, Matthew Domingo, Jie Han, Michael Chang, Omid Khazaie, Anil Kemisetti
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 …
Establishment Of 3-D Human Colorectal Cancer Spheroids, India Barnett
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
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
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
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
(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
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
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
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 …
Gait Alterations In Peripheral Arterial Disease Are Not Worsened By The Presence Of Diabetes, Hafizur Rahman
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. …
The Comparison Of Verbalized Feedback In Human To Computer Interfacing Versus Human To Human Interaction, Kea Francis
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 …