Advanced Authentic Research

STEM

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Wolbachia Spread Simulation

This project will be a computer simulation of Wolbachia spread through a given geographic region over some length of time. Initial conditions will include the size of the infected mosquito population to be introduced and the introduction location. Other factors that may affect Wolbachia spread will modeled after real world conditions. Some of these factors include climate, seasonal climate patterns, natural disasters, urban population, forest density, daily temperature fluctuations, human behavior, local mosquito population feeding times, and vector control methods already in control. Our goal is to find the ideal conditions for Wolbachia introduction, which could be useful in future disease prevention efforts.

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Effects of AI in a Changing Business Climate

As AI gains prevalence in more areas of society, it is becoming much more advanced and capable of rapidly changing many historically consistent or slow-to-evolve aspects of society, including business, economics, military strategy, entertainment. As AI capability continues to increase, how will AI affect business even further than it already has in the near future? To answer this question, I will be doing research as well as conducting interviews of professionals who work in fields related to AI to incorporate expert opinions into my research.

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Using Computational Modeling Techniques to Analyze Cancer Cell/Tumor Growth, and Identifying Best Methods of Analyzing Data from Tools like Mass Spectrometry When Studying Tumor Growth

Despite extensive efforts to analyze cancer cells, no property has yet been found that can be applied to cure all types of cancer. As a result, doctors and pationes often must resort to using chemotherapy or radiotherapy to treat this deadly disease. This problem has negatively impacted cancer patients because it only provides a possibility of short term remission, and it does not contribute to an actual cure for cancer.

It is commonly remarked that when one is stuck, it is best to change perspective and use a different strategy to attack the issue. In this case, the specific problem is how certain chemicals transform cancer cells. One possible approach is to study the use of recently developed tools like mass spectrometry and computational modeling to perform quantitative analyses on cancer data. This project will conduct a study that investigates the effects of certain chemicals on lipogenesis in cancer cells using computational modeling through mass spectrometry analyses, with the intent of identifying properties that apply to all cancer cells.

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How to Optimize and Naturalize Computer-Designed Images

Utilizing machine learning, computers can now be taught to generate real images. This project uses a general adversarial network (GAN) to generate images. A GAN is composed of two neural networks: one plays the painter and one the judge. The painter uses responses from the judge to improve its painting, eventually generating life-like images. However, getting a GAN to work as intended in this regard is notoriously difficult; one goal of the project is to improve the training process.

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Testing the Link Between Chronic Fatigue Syndrome and HIV

Chronic Fatigue Syndrome is one of the most pressing diseases in the medical field. Recent research has shown that it has to tendency to occur along with other illnesses. The study consists of a survey to find the prevalence of Chronic Fatigue Syndrome and other diseases (Alzheimer's disease and HIV). The aim of this study is to be accessible, while still being applicable to the medical world.

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The Effect of Transfection on Metastatic Potential of Mouse 3T3 cells

I will be testing the variance of Metastatic Potential on Mouse 3T3 cells after they have been transfected. One group will be the Wild Type in which no transfection has been done. In another group, the p53 gene will be knocked down. The last group will have the Myosin Heavy Chain 9 gene will be knocked down. By using the Boyden Chamber, I will record the migration patterns of the cells, and I will observe the effects of transfection on the Metastatic Potential of these cells.

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Improving Animal Models Best Represent Alzheimer’s Disease

This research project will analyze the flaws in using current mice models to evaluate Alzheimer’s disease. The limitations of mice models will be identified through extensive research and previous studies. These findings will contribute to suggesting potential improvements to the modeling of Alzheimer’s disease. The project will validate the findings by applying them to other organisms diagnosed with Alzheimer’s disease. By analyzing the effectiveness of these improved models, the project will aim to provide a more accurate representation of Alzheimer’s disease using animal models.

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AI Algorithm that Calculates the Heart Rate from an Electrocardiogram (ECG)

My mentor will provide data sets of electrocardiograms that his company has collected. Using knowledge of machine learning that I will gain through background research, I will create an AI algorithm that will "learn" the relationship between an electrocardiogram and the heart rate. Essentially, I will feed my algorithm sets of electrocardiograms with corresponding heart rates, and the algorithm will find a relationship between them. When fully trained, my algorithm will provide an accurate heart rate for any electrocardiogram that I give it.

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Ration Bars

The purpose of my project is to develop a food bar that fits the needs of people displaced from their homes. I will be looking at aspects of taste, nutrition, and calories for my food bars. I will be testing the food bars under the guidance of the Biotech teacher.

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The Effects of Particle Interactions on Nuclear Level Density and Temperature in the sd-space

Nuclear temperature, a parameter of the equation for level density as a function of energy that represents the internal chaotic motion of the nucleus, can be graphed as a function of the number of neutrons in the nucleus. These trends are the staggering of the temperatures of odd-neutron and even-neutron nuclei, as well as a minimum temperature value at the number of neutrons equaling the number of protons. This happens in addition to a consistently decreasing "A"-value, or a constant that precedes the exponential function of level density. Separately varying the effect of isospin, we intend to discover what causes the trends that occur in these graphs for nuclei in the sd-space. For both pairing and non-pairing interactions, we hold one interaction constant, while dampening, amplifying, or reversing the effect of the other to various degrees. We hope to eventually find a mathematical model to calculate the level density as a function of energy for any nucleus in order to predict probabilities of nuclear reactions in interstellar environments and power plants.

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