Point-of-Care Testing

One problem impacting many low-income countries around the world is the continued prevalence of diseases that have largely been eradicated in more wealthy countries. While treatment techniques for these diseases have evolved significantly, many of them can be prevented through faster diagnoses. One way to accomplish this is using point-of-care testing, which provides faster results near the point of patient care.

How Can we Help Save our Forests in Third World Countries and Help Lessen the Spread of Deforestation?

Deforestation- "The act of clearing out an area of trees". Deforestation in third world countries is relevant right now because it's harming citizens and animals, by clearing out forests your killing the habitats of animals and by over watering the forests they are getting too much water. This project is to collect data, and survey people to see what they think about deforestation and wha they would do to help the forests.

Comparing Impacts of Deforestation Caused by Agribusiness, Logging Industries, and Oil Production on the Biodiversity Index of Vulnerable Ecosystems (Protected vs. Unprotected)

Biodiversity loss remains the driving factor in the ecological shift seen today as a result of climate injustice globally. This study explores the relationship between deforestation and biodiversity indexes in order to make relevant connections on the increasingly urgent topic of a world in ecological crisis. This study will gather secondary data in order to ultimately synthesize which will result in trends and patterns of deforestation being uncovered. With this, the study will be able to propose solutions to challenges to biodiversity based on the analysis of the secondary data.

What Can COVID Trends Tell us About Future Response to Pandemics?

Since COVID hit the world, different countries used different strategies to combat the global pandemic. These different strategies showed different effectiveness of containing COVID and exposed some crucial problems. When a future pandemic strikes, strategies to counter the pandemic will be required. This research aims to discover the best and most efficient way of combating COVID by comparing each countries response.

How Can we Improve the Coverage and Efficiency of Algorithms for the Automated Testing of Android Mobile Applications?

In the past decade, the smartphone industry has blossomed into one of the biggest markets in modern technology. Over 6 million people own smartphones in 2021, so the rapid detection and elimination of any errors is important. There are millions of mobile applications on these phones, and the average smartphone user has over 80+ applications. With software so widespread, it is critical that there are no bugs or errors present. In smaller, homemade programs, we are often able to manually test code, as these programs are significantly smaller. However, modern applications tend to have tens of thousands of lines of code, meaning that manual testing is both unreliable and impractical. To ensure that these applications are are secure and safe to use, we need to create algorithms to assist us in the testing process. This paper will thoroughly compare different algorithms used to automate Android testing and will evaluate the most efficient methods based on coverage, error detection ability, and computational efficiency.

Finding an Optimized and Viable Solution for Improving Reliability Scores of the Current Power Grid in California

California’s power grid is reaching the end of its life. In 2019 alone, there were 25,281 blackout events in California, a 23% increase from the 20,598 blackouts in 2018 (BloomEnergy, 2019). Based upon prior research, a household-level photovoltaic system that can power a single residential unit as needed and supply the grid for local redistribution when needed is the most economical and efficient solution for the increasing number of blackouts, brownouts, and Public Safety Power Shutoffs. This study aims to find the optimal percentage of saturation of such resources, since it is neither economical nor plausible for every household to have such a system. Narrowing down and analyzing the results, the research hopes to find what the City of Palo Alto Utilities (CPAU) PV generation resource distribution goal should be in the coming years.

Search for Habitable Stellar Environments in Kepler Objects of Interest Systems

Zodiacal dust produced mostly by planetesimal collisions is detectable in infrared excess emissions and is also an indication of an existing debris disk. I investigated the effect of Jupiter or small habitable planets within Kepler systems on the detections of zodiacal dust in my project. I probed for IR-excess in the habitable small-planet 47 Kepler Object of Interest (KOI) sample given by Thompson et al. 2018 and a 53 KOI solar-like and jupiter-containing sample that I compiled. I performed photometry on each target’s point spread functions (PSFs) to get accurate W3 (12 µm) and W4 (22 µm) flux values, then used them to generate a spectral energy distribution (SED) fit based on the best-fitting Nextgen or Kurucz model. I also used the significance formula from Sobrinho et al. 2018. to statistically quantify the excess. Next, I interpolated PSF solutions in the UKIRT, Spitzer, and WISE bands (IR space surveys). I used those solutions to subtract flux-contaminating stellar companions and calculate the true flux from the source star. Finally, I refit the new flux SEDs. My research identifies three of 47 (~6%) small-planet-containing KOIs and six of 53 jupiter-containing KOIs (~11%) with IR-excess. Compared with the control sample, the 47 KOI sample has the same proportion while the 53 KOI sample has a higher proportion, indicating that the existence of Jupiter-like planets likely enhances dust formation in some planetary systems. This tells us more about the stellar environment of our early solar system, and the precursors to generating habitable, Earth-like planets.

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