Advanced Authentic Research

STEM

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Testing Graph Theory's Usefulness in Creating New Materials with Expected Properties through Computational Experiments Through Quantum Espresso Computer Simulations

This project will explore whether graph theory can be used to control chirality and model the genesis of chirality, a molecule not superimposable on its mirror image. This will be determined by observing isomorphism, or whether they are corresponding or similar in form, in CoCalc. Also, the project will explore whether properties of nanosystems calculated in Quantum Espresso (i.e., magnetization, thermodynamics, and band structures) can be predicted through graph theory. Finally, there will be an investigation on whether graph theory can mathematically describe the growth mechanisms in graphene.

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Modelling Control Factors For Mosquitoes In Many Environments

We will be creating a computer simulation that models how populations of mosquitoes are affected by certain vector control methods such as Wolbachia. This simulation will model a variety of methods and their effectiveness in various conditions and environments. The simulation will be interactive, with the ability to add factors in the process.

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Integrating Autonomous Vehicles into Current Roadway Networks

With complete adoption of fully autonomous vehicles likely to take decades, it is important to understand how autonomous cars will operate simultaneously with human-driven cars. This research is investigating how to integrate autonomous vehicles into current roadway infrastructure via simulations of a metropolitan freeway. By measuring average trip time and traffic flow rate, different integration methods and roadway configurations will be evaluated.

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Analyzing Sounds Emitted by Motorized Vehicles

I will record and visually display sounds emitted by motorized vehicles, and I will use software to analyze those recordings to see if there are any trends. A significant amount of research has been done on the analysis of voice, but little has been done on sound analysis regarding the environment and inanimate objects.

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Effective Methods for a Counselor-Based School Mental Health Program to Prevent Additional Suicide deaths After a Public Suicide in PAUSD

Despite​​ ​​numerous​​ ​​attempts​​ ​​at​​ ​​preventing​​ ​​suicide,​​ ​​high​​-achievement​​ ​​communities​​ ​​are​ ​still​​ ​​struggling​​ ​​to​​ ​​design​ ​programs​​ ​​that​​ ​​are​​ ​​effective​​ ​​at​​ ​​preventing​​ ​​these​​ ​​deaths.​​ This​​ ​​problem​​ ​​has​ ​negatively​​ ​​impacted​​ ​​both​​ ​​​individuals​ and communities at large, since​​ ​​people​​ ​​are​​ ​​still​​ ​​suffering​​ ​​with​​ ​​mental​​ ​​health​ ​issues​​ ​​and​​ ​​don’t​​ ​​know​​ ​​where​​ ​​to​​ ​seek​ ​affordable​​ ​​counseling​​ ​​and​​ ​​mental​​ ​​health​​ ​​services.​​ ​​Perhaps​​ ​​exploring​ ​past​​ ​​suicide​​ ​​data,​​ ​​and​​ ​​the​​ ​​mental​​ ​​health​ ​programs​​ ​​in​​ ​​those​​ ​​impacted​​ ​​communities​, can​​ ​​point the way to​​ ​​a​​ ​​possible​ ​remedy​​ ​​for​​ ​​this​​ ​​problem.

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Variations that Affect the Risk of Narcolepsy

Research on narcolepsy (a sleep disease) is scarce, and patients may not understand whether developments are made to help them. So, I conducted interviews with professors who wrote articles on narcolepsy and expressed adequate knowledge on the subject. The goal of these interviews is to gather information about what research is being done on narcolepsy recently, and what those professors believe about debates on the developments.

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Graphene Doping

We will examine how properties of graphene change as we dope them with pairs of metals. We are using Quantum Espresso to simulate how the particles interact with each other. We will also compare these changes in properties to other experiments to see how this can be used as a semiconductor or for other purposes.

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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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