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Physical Sciences and Mathematics Commons™
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- Keyword
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- Antarctic accumulation (1)
- BOD (1)
- Bayesian model (1)
- Biochemical oxygen demand (1)
- Cancer (1)
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- Cluster analysis (1)
- Data analysis technique (1)
- Field measurement (1)
- Gaussian process modeling (1)
- Gene expression (1)
- Genetic diagnosing (1)
- Highway safety (1)
- Interstate crashes (1)
- Modern mass spectrometry computer (1)
- Multiple regression variable selection (1)
- Random partition distributions (1)
- Risk factors (1)
- Spatial statistics (1)
Articles 1 - 6 of 6
Full-Text Articles in Physical Sciences and Mathematics
Cancerous Male And Female Gene Expression, Clarissa Farmer, E. Shannon Tass
Cancerous Male And Female Gene Expression, Clarissa Farmer, E. Shannon Tass
Journal of Undergraduate Research
Genetic diagnosing is becoming more popular, as well as more and more accurate. However, many genetic diseases have complex genetic effects and are still not fully understood. Transthyretin Amyloidosis (ATTR; also known as familial or hereditary amyloidosis) is a terminal genetic disease. It is caused by unstable transthyretin proteins that fold improperly, and then deteriorate. The fragmented proteins are deposited outside of the cell and build up in the tissues over time, forming insoluble oligomers. The oligomers continue to grow into Amyloid fibrils, which adversely affect many organs in the body, eventually causing their failure. In order to accurately diagnose, …
Cluster Analysis Via Random Partition Distributions, Brandon Carter, Dr. David B. Dahl
Cluster Analysis Via Random Partition Distributions, Brandon Carter, Dr. David B. Dahl
Journal of Undergraduate Research
Cluster analysis is an important exploratory data analysis technique used in a wide variety of fields. Cluster analysis seeks to discover a natural grouping of the data, where items in the same cluster or group are more similar than items from different clusters. Through our research, we developed a novel method for cluster analysis which takes pairwise distance information as input. Our new method improves upon traditional cluster analysis methods which also take pairwise distance information as input, such as hierarchical clustering. Our method, cluster analysis via random partition distributions (CaviarPD) is based on probability distributions and therefore allows the …
Identifying Risk Factors For Interstate Crashes Using Spatial Statistics, Kaitlin Gibson, Matthew Heaton
Identifying Risk Factors For Interstate Crashes Using Spatial Statistics, Kaitlin Gibson, Matthew Heaton
Journal of Undergraduate Research
The goal of systemic highway safety improvement is to identify road characteristics, called risk factors, associated with a higher prevalence of crashes, so that the roads can be modified to avoid these characteristics. However, the statistical analyses these improvement projects are based on generally use methods which are not appropriate for the data. Our project implements novel spatial statistical methodology which is appropriate and state-of-the-art to identify these risk factors.
An Algorithm For Multiple Regression Variable Selection For Biochemical Oxygen Demand, Zach White, Dr. William Christensen
An Algorithm For Multiple Regression Variable Selection For Biochemical Oxygen Demand, Zach White, Dr. William Christensen
Journal of Undergraduate Research
Biochemical Oxygen Demand (BOD) is used to measure of the amount of oxygen required by aerobic bacteria and other microorganisms to stabilize decomposable organic matter. It is run as a laboratory based biodegradation test and relies upon the presence of a thriving microbial community that may be naturally present in the sample or artificially introduced by addition of a seed, commonly a known volume of sewage effluent of known BOD. A standard BOD test is run in the dark at a temperature of 20 degrees Celsius for 5 days. This is defined as a five-day BOD (BOD5), which is the …
Bayesian Model For Antarctic Accumulation And Proposing Field Measurement, Philip White, Shane Reese
Bayesian Model For Antarctic Accumulation And Proposing Field Measurement, Philip White, Shane Reese
Journal of Undergraduate Research
Antarctica’s significance to the global climate is due to the vast amounts of water stored in its ice sheet. Indeed, its ice sheet stores enough water to increase the global sea level by about 200 feet if it were to melt. Even though radical climate change could not melt the entire Antarctic ice sheet for thousands of years, smaller, more realistic changes would still make a significant impact in the global climate, sea level, and growing seasons. For this reason, climatologists and geologists model water accumulation and loss over the Antarctic ice sheet. Accumulation, as defined here, is the net …
Gaussian Process Modeling Of Modern Mass Spectrometry Computer Experimental Data, Mickey Warner, C. Shane Reese
Gaussian Process Modeling Of Modern Mass Spectrometry Computer Experimental Data, Mickey Warner, C. Shane Reese
Journal of Undergraduate Research
Introduction A new mass spectrometry technique (VENDAMS) has been developed to allow the quantification of rate constants for complicated chemical reactions. Due to the expensive nature of the method, computer experiments designed to solve a set of equations provide supplemental information to the process.