Advanced Authentic Research


Design of Visual Recognition Software to Analyze Deep Brain Stimulation Video.

Using the libraries OpenCV and FFmpeg, visual recognition software is being designed to analyze neurosurgery video in an automated fashion. An algorithm is designed to split up neurosurgery video according to certain visual cues. Metadata is modified to identify the video clips that are designated to be saved and the ones that are designated to be deleted.

What is the effect of using actergy as a metric on developing muscle training and sports performance?

This project will utilize integral kinematics to revolutionize fitness regiments, athletic training, and sports routines. All too often, people train instantaneous output such as power and acceleration in athletics, while there is a lack of emphasis on muscle control and endurance. Therefore, the aim of this project is to use two pioneering fitness metrics to develop a training system for muscle control, and consequently enhance athletes' performance.

How does the protein Ptch in the Hh pathway bond with cholesterol?

This project studies a segment of the Hedgehog pathway, a signaling pathway in vertebrates that regulates tissue patterning and development, and has been found to be closely linked with many varieties of cancer. Ptch is an important receptor protein within Hedgehog that activates the pathway in cells. By creating mutagenic Ptch (mutated versions of the protein) and running them through various assays, the goal is to ascertain what role cholesterol binding to Ptch has in the Hedgehog pathway, and which sequences in Ptch are important for successful cholesterol binding.

How does the amount of sleep affect an adolescent athlete's performance?

This project is focused on exploring the effects of sleep deprivation on emotional states and athletic performance of student athletes (basketball and swimming) ranging from the ages of 14 to 18 from both Palo Alto High Schools. The amount of sleep the subjects obtain for two weeks along with their free throw percentages/ lap times, or POMS test results will be recorded.The goal is to discover how the amount of sleep a teenager, or specifically, a student athlete obtains, affects their athletic performance and emotional state.

How can user mouse movement patterns be used to improve A/B testing?

This project will be studying mouse patterns such as mouse coordinates, and their use of left and right clicks on social media sites such as Facebook and Reddit. This study will target the demographic of high school students and websites they commonly use, which will direct this study in a more specific way. Data will be collected through a chrome extension and then loaded onto a Java program, which can calculate statistics and display the data. Patterns will be observed both visually and mathematically.

What is the maximum plastic consumption of the average mealworm?

This project builds on prior knowledge that the mealworm’s gut bacteria can biodegrade plastic. The goal is to determine the most feasible plastic for future degradation efforts. Mealworm trials will be fed PET, PVC and PUR. Using multiple types of statistics, a conclusion will be drawn about mealworm survival and plastic mass consumed.

What are some of the effects of Natural products and substances, such as Panax ginseng, on tau pathology in Alzheimer’s Disease patients?

Our project involves experiments to see if Panax Ginseng has a correlation to tau proteins in Alzheimer's Disease patients. Alzheimer’s is a disease affecting more than 3 million people in the United States. While we know it's a neurodegenerative disease, the root cause is still debated. Out of the three most prominent hypotheses, the Tau Hypothesis has recently become more salient in regards to Alzheimer’s Disease (AD) patients.

How can computer technology be used to accurately assess walking balance disorders?

Approximately 8 million adults are diagnosed with some type of walking balance disorder. Majority of the testing is done by using subjective assessments in a physician’s office. The goal of this project is to take the subjectivity out of these tests to make the process more efficient and increase the accuracy of the results by using computer technology to improve patient care. The computerized results can also help keep track of the patient’s progress and is a step into the modern world of technology.

How can machine learning be used to analyze a website’s design by using data about human preferences based on age and/or gender? How can it provide insight on the website entrance's appeal to its target audiences?

This research project has two main components. The first component is a research study that collects data on people's website design preferences. The second component is constructing a machine learning program that uses that data to analyze and review a website. The main goal of this project is to create a product that people can use to see what is wrong with their websites, so that they can make their websites better for the future.

What kind of peptide chain inhibitor can be created to suppress the FOXP3 transcription factor and impair the development of regulatory T cells?

FOXP3, a protein that takes part in the development of regulatory T cells, is vital for the immune system in recognizing foreign from self cells. However, cancer as well as some autoimmune diseases take advantage of this to hide carcinogenic cells. Consequently, the aim of this research project is to work towards developing improvements for existing inhibitors for FOXP3.


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