Advanced Authentic Research

STEM

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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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Harnessing the Power of the Ocean: Designing a Portable and Efficient Wave Energy Converter Prototype

I will design and build a prototype of a device that generates electricity using the power of ocean waves. It will be efficient and portable so that it can be easily be used by people who have been affected by natural disasters or do not have access to electricity. My prototype will involve a coil and a magnet that induces a current as it shakes.

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Molecular Mechanisms Underlying Neurodegenerative Diseases Associated with Mutant Tau

Alzheimer's disease is the 6th leading cause of death in the United States, but currently, there is no cure (Alzheimer’s Association). To treat Alzheimer's disease, we must first fully understand the molecular mechanisms behind it and the pathological roles of the tau protein that classify diseases such as Alzheimer's disease as tauopathies. The tau protein has the normal role of attaching to and organizing microtubules, which are crucial for maintaining cell structure, transporting materials within cells, and separating chromosomes during cell division. Among other causes, mutations in the tau gene have been linked with pathological tau and the degeneration of neurons. I intend to research the effects of such mutations in a particular region of the gene, known as exon 10, on tau function and cell viability with both database and lab observational techniques.

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Testing for a Link between Bacteriophages/Gut Bacteria and Parkinson's Disease

The recent discovery that bacteriophages may influence the development of Parkinson's disease sparked our interest in a less explored area. We investigated the relationship between bacteriophages and Parkinson's disease by interviewing researchers and professors, analyzing literature, and conducting an experiment studying the abundance of specific bacteriophages in varied environments. We hope that our research may inspire the growing science community.

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