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Articles 1 - 29 of 29
Full-Text Articles in Physical Sciences and Mathematics
03-04-2024 Orsp Newsletter, Liz Williamson
03-04-2024 Orsp Newsletter, Liz Williamson
ORSP Newsletter
ORSP On-demand Training for PIs, Liz Williamson spotlight, Grant for Studying Clean Energy Production Awarded, NIH Simplified Peer Review Framework.
02-26-2024 Orsp Newsletter, Liz Williamson
02-12-2024 Orsp Newsletter, Liz Williamson
02-12-2024 Orsp Newsletter, Liz Williamson
ORSP Newsletter
I-RED Program, Training on Python and R available, Christy White spotlight, UM Researchers Find Turmeric, Thyme Oils Repel Fire Ants
02-05-2024 Orsp Newsletter, Liz Williamson
02-05-2024 Orsp Newsletter, Liz Williamson
ORSP Newsletter
NSF Revises PAPPG, Mickey McLaurin spotlight, ORSP Training Available: NSF Project Summary, Inclusive Entrepreneurship Event
02-19-2024 Orsp Newsletter, Liz Williamson
02-19-2024 Orsp Newsletter, Liz Williamson
ORSP Newsletter
UM Library Training for Researchers, Kendra Sampey spotlight, School of Pharmacy's Research Day, MS Aerospace and Defense Symposium on March 29
12.04.2023 Orsp Newsletter, Liz Williamson
12.11.2023 Orsp Newsletter, Liz Williamson
12.11.2023 Orsp Newsletter, Liz Williamson
ORSP Newsletter
December 11, 2023 Newsletter
11.27.2023 Orsp Newsletter, Liz Williamson
11.27.2023 Orsp Newsletter, Liz Williamson
ORSP Newsletter
November 27, 2023 edition of the ORSP newsletter
11.20.2023 Orsp Newsletter, Liz Williamson
11.20.2023 Orsp Newsletter, Liz Williamson
ORSP Newsletter
ORSP Newsletter for the week of November 20, 2023.
11.13.2023, Liz Williamson
11.6.2023, Liz Williamson
10.30.2023, Liz Williamson
10.16.2023, Liz Williamson
10.9.2023, Liz Williamson
10.2.2023 Orsp Newsletter, Liz Williamson
Identifying Key Activity Indicators In Rats' Neuronal Data Using Lasso Regularized Logistic Regression, Avery Woods
Identifying Key Activity Indicators In Rats' Neuronal Data Using Lasso Regularized Logistic Regression, Avery Woods
Honors Theses
This thesis aims to identify timestamps of rats’ neuronal activity that best determine behavior using a machine learning model. Neuronal data is a complex and high-dimensional dataset, and identifying the most informative features is crucial for understanding the underlying neuronal processes. The Lasso regularization technique is employed to select the most relevant features of the data to the model’s prediction. The results of this study provide insights into the key activity indicators that are associated with specific behaviors or cognitive processes in rats, as well as the effect that stress can have on neuronal activity and behavior. Ultimately, it was …
Parametric Design Of Flywheel For An Electric Punch Press, Prashant Dhakal
Parametric Design Of Flywheel For An Electric Punch Press, Prashant Dhakal
Honors Theses
Almost all designs start with a design requirement. These may be weight, volume, clearance, and even custom calculations. Finding a solution that meets these requirements often involves tedious and time-consuming iterations. Once the solution has been found, the design must be optimized to find the best possible solution. Finding the ‘best possible design’ requires substantial time and effort dedicated to iterating and analyzing the potential model solutions. This is where Parametric design comes into play. The Parametric design aids in specifying the key parameters of the design and makes changes interactively, with the model updating automatically. The purpose of this …
1. Test Data, Zhiqu Lu, Likun Zhang, Lei Cao
1. Test Data, Zhiqu Lu, Likun Zhang, Lei Cao
Gulf Research Program Data Sets
This data set contains recorded and processed bubble sounds under different conditions: a few bubbles vs. constant flow bubbles. Each condition is tested with nitrogen and with methane.
4. Metadata Files, Zhiqu Lu, Likun Zhang, Lei Cao
4. Metadata Files, Zhiqu Lu, Likun Zhang, Lei Cao
Gulf Research Program Data Sets
This data set contains all ReadMe files for test data, modeling data, and localization data, as well as the corresponding codes.
5. Programs And Algorithms, Zhiqu Lu, Likun Zhang, Lei Cao
5. Programs And Algorithms, Zhiqu Lu, Likun Zhang, Lei Cao
Gulf Research Program Data Sets
This data set contains all codes for the study.
6. Supplemental Materials, Zhiqu Lu, Likun Zhang, Lei Cao
6. Supplemental Materials, Zhiqu Lu, Likun Zhang, Lei Cao
Gulf Research Program Data Sets
This data set contains all conference presentations, manuscripts, technical reports, posters.
2. Modeling, Zhiqu Lu, Likun Zhang, Lei Cao
2. Modeling, Zhiqu Lu, Likun Zhang, Lei Cao
Gulf Research Program Data Sets
This data set contains the results for acoustic bubble modeling.
3. Localization, Zhiqu Lu, Likun Zhang, Lei Cao
3. Localization, Zhiqu Lu, Likun Zhang, Lei Cao
Gulf Research Program Data Sets
This data set contains the results for oil leakage source localization.
Heel Down And Toe-Off Time Measured With Ultrasonic Doppler System And Force Plate Sensor, Sabin Timsina
Heel Down And Toe-Off Time Measured With Ultrasonic Doppler System And Force Plate Sensor, Sabin Timsina
Honors Theses
Collie Box is a medical device that measures the gait parameters of the person walk- ing in front of it. This device uses the Ultrasonic Doppler system to extract the heel-contact and toe-off times of a person walking within the range of 2-10 meters. These times are used to determine the leg’s swing phase and double stance times. The ultrasonic transducer of 10mm diameter is driven at 40kHz. At the time of the heel-contact and toe-off, foot velocity is zero while the torso part of the human body is still in motion. The wide directivity of 10mm diameter ultrasonic transducer …
Investigatin Actin-Myosin Mechanics To Model Heart Disease Using Fluorescence Microscopy And Optical Trapping, Justin Edward Reynolds
Investigatin Actin-Myosin Mechanics To Model Heart Disease Using Fluorescence Microscopy And Optical Trapping, Justin Edward Reynolds
Honors Theses
Hypertrophic cardiomyopathy (HCM) is a hereditary disease in which the myocardium becomes hypertrophied, making it more difficult for the heart to pump blood. HCM is commonly caused by a mutation in the β-cardiac myosin II heavy chain. Myosin is a motor protein that facilitates muscle contraction by converting chemical energy from ATP hydrolysis into mechanical work and concomitantly moving along actin filaments. Optical tweezers have been used previously to analyze single myosin biophysical properties; however, myosin does not work as a single unit within the heart. Multiple myosin interacts to displace actin filaments and do not have the same properties …
Use Of Seismic Refraction In Determining Rock Mass Anisotropy, Mohammad Najmush Sakib Oyan
Use Of Seismic Refraction In Determining Rock Mass Anisotropy, Mohammad Najmush Sakib Oyan
Electronic Theses and Dissertations
Seismic refraction is a popular method used by geological/geotechnical engineers to understand subsurface conditions. This method along with information collected from borings produce a realistic image of the ground beneath us. The goal of this study is to define and test a set of procedures to use seismic refraction alone to create high quality images of subsurface conditions. The focus is on areas with several meters of soil overlain by bedrock. The application of these procedures will minimize construction costs by eliminating the need for multiple boreholes. The results show that two important criteria must be met for successful application …
Optimizing The Performance Of Complex Engineering Systems Aided By Artificial Neural Networks, Khalil Qatu
Optimizing The Performance Of Complex Engineering Systems Aided By Artificial Neural Networks, Khalil Qatu
Electronic Theses and Dissertations
In the first problem Polyetherimide graphene nanoplatelets papers (PEIGNP) were tested with different graphene loadings varying from 0-97 weight percent (WT%). The resulting stress-strain curves were utilized to develop two ANN models. Stress-controlled and strain-controlled models. Both models shoan excellent correlation to the experimental. Several Mechanical properties were calculated from the predicted stress-strain curves namely; toughness maximum strength maximum strain and maximum tangent modulus. Both models captured the same overall behavior of the PEIGNP composite. However the strain-controlled model was found to predict lower stress than the stress-controlled model. Finally a Graphical User Interface (GUI) was developed to aid in …
O-Glcnac Post Translational Modification Of Hypoxia-Inducible Factor (Hif) Proteins, Hailey Elisabeth Grisham
O-Glcnac Post Translational Modification Of Hypoxia-Inducible Factor (Hif) Proteins, Hailey Elisabeth Grisham
Honors Theses
O-linked β-N-acetylglucosamine (O-GlcNAc) post-translational modification (O- GlcNAcylation), plays a vital role in many metabolic pathways, including those of numerous diseases. New research methods and basic functional roles of O-GlcNAc post- translational modification on metabolism, human health, and cancer are quickly developing, but a vast amount of research remains on the specificity of this pathway towards specific proteins. In this study, T47D breast cancer cells were used as an in vitro model to investigate the effects of O-GlcNAc modification on hypoxia-inducible factor (HIF) proteins.
Targeting Metastatic Breast Cancer With Statin Drugs And Coq10, Jacob Thrasher
Targeting Metastatic Breast Cancer With Statin Drugs And Coq10, Jacob Thrasher
Honors Theses
Statin drugs are commonly prescribed to lower cholesterol levels in patients, but recently statins have been under investigation as a potential anti-cancer drug. Statins are HMG-CoA reductase inhibitors and subsequently inhibit the mevalonate pathway and cholesterol synthesis. Since cholesterol trafficking is vital in the growth and metastasis of cancer, statin drugs are being studied to explore their effects on cancer cells. CoQ10, one of the products from the mevalonate pathway, also has shown some potential anti-cancer properties, but its use to combat cancer is controversial. While some studies have shown that CoQ10 supplements can be synergistic with other cancer treatment …