Search past science fair projects

Two-Step X -Ray Transit Identification: Bayesian Block Simplification and Sequential Machine Learning Techniques

Harvard University The transit method is versatile; it has been critical in not only the discovery of over four thousand Milky Way exoplanets but also the impressive discovery in galaxy Mess…

Two-Step X-Ray Transit Identification: Bayesian Block Simplification and Sequential Machine Learning Techniques

Physics and Astronomy

The transit method is versatile; it has been critical in not only the discovery of over four thousand Milky Way exoplanets but also the impressive discovery in galaxy Messier 51 of M51-ULS-1…

Under Pressure... Wounds: The Prevention of Bedsores

Translational Medical Science

In many healthcare facilities, the possibility of bedsores forming are a common concern. The formation of bedsores, also called pressure wounds, concern healthcare workers as the deep tissue…

Understanding Gaze Control Mechanisms in Healthy Individuals versus Individuals with Multiple Sclerosis

Multiple sclerosis (MS) is the most common non-traumatic neurological disease in both North America and Europe. People with multiple sclerosis (PwMS) experience debilitating symptoms such as…

Understanding the Impact of Celebrity Endorsements on the Artificial Growth of Cryptocurrencies Using a Multi-Dimensional Latent Class Analysis and a Software-Based Approach (Year 3)

Behavioral and Social Sciences

In recent years, the intersection of celebrity endorsements and the cryptocurrency market has been a focal point of both interest and concern. The creation of over 10,000 distinct virtual as…

Understanding the Relationship Between the Gut Microbes and Leukemia Growth

Translational Medical Science

Leukemia is a blood cell cancer ranking 15th in worldwide cancer incidence and 10th in death. The gut microbiome and its metabolites, e.g., short-chain fatty acids like propionate, are thoug…

Understanding the Role of Glycerol in a Biodegradable Plastic

Chemistry

With single-use plastic accumulating and damaging the environment, new and sustainable solutions must be found. One way to do so is using chitosan, found in shrimp shells, and glycerol, a co…

Unearth Saipan: Enhancing Soil Assessment With Regression Analysis and Machine Learning for Vehicle Decay Investigation

Earth and Environmental Sciences

The CNMI is plagued with abandoned cars, which could have negative effects on the environment. After finding very little professional research conducted on this topic, we decided to create o…

Unmasking Cybersecurity Vulnerabilities in Direct and Transitive OSS Dependencies

Systems Software

Open-source software(OSS) is free and widely used in software development, from video games to systems that run critical infrastructure such as power plants. However, most OSS libraries are…

Unraveling the Achilles' Heel of Human Tumors: Moving Towards Inducing Mutational Meltdown by Deciphering the Most Deleterious Mutational Processes

Biomedical and Health Sciences

Although previous research has studied the subfields of cancer genomics and population genetics separately, they have rarely merged. This study combines the knowledge of mutational signature…

Unraveling the Complex Interplay Between Immune Cells and Cancer Progression Utilizing a Novel Application of an Artificial Neural Network

Biomedical and Health Sciences Second Award

1 in 5 people develop cancer in their lifetime. Due to treatment inefficiency, cancer is the leading cause of death worldwide. Deciphering immune cell-cancer cell interactions within the tum…

Unraveling the Metal-Water-Daphnia Nexus in Tap Water, Well Water, and Mine Creek Water: Health Effects and Natural Bio-Adsorbents for Water Quality Enhancement

Environmental Engineering

Problematic water consumption has become a pressing global issue in recent years. Despite regular filtration efforts, conventional methods often fail to remove all hazardous chemicals in wat…

Unveiling Galaxy Evolution Dependency on Local Environment of Galaxies Using DESI EDR1

Physics and Astronomy

Inspired by the James Webb Space Telescopes, this study uses the Dark Energy Spectroscopic Instrument Early Data Release 1 (DESI EDR1) to examine the influence of local environments on galax…

Unveiling New Horizons in 2D Materials: Computational Discovery of a Metallic Boron Nitride Monolayer

Chemistry

The hexagonal boron nitride (hBN) monolayer, sharing the same crystalline structure and isoelectronic properties with graphene, is well-recognized for its wide band gap semiconductor nature…

UpLift Mobility: Robotic Lift to Elevate Frequently Falling Individuals

Biomedical Engineering Third Award

The author designed and manufactured a robotic lift called “UpLift Mobility”, to elevate frequently falling individuals from the ground, inspired by her grandpa’s increased falls. According…

Urban Slum Detection and Mapping: Semantic Segmentation on VHR Satellite Imagery

Robotics and Intelligent Machines

Approximately 1.1 billion people live in slums worldwide today with the number expected to grow by 2 billion in the next 30 years. Slum rehabilitation efforts rely heavily on slum mapping an…

Use of Polymer Coated Nanoparticles for Inactivation of MS2

Biomedical Engineering

Off-target effects from viral vectors prevent their expansion in the medical field, resulting in the need for a method to prevent these negative impacts. To simulate an environment with a ne…

Use of Surfactants to Promote Agricultural Sustainability and Soil Fertility in Arid Climates

Earth and Environmental Sciences

The purpose of my experiment is to explore sustainable solutions to solve the global environmental issue of desertification. Arid climates foster conditions for dry, compact soil, possibly l…

Using an Inexpensive Night Vision Camera as a Detector in NIR Spectroscopy

Near Infrared (NIR) Spectroscopy is a technique that measures wavelengths from 780 nm to 2500 nm to determine the chemical composition of a sample, making it useful in various applications,…

Using Artificial Intelligence To Predict the Ventricular Origins of Premature Ventricular Contractions Based on 12 Lead EKG Data

Computational Biology and Bioinformatics

Background: Predicting origins of premature ventricular complexes (PVCs) based on a 12-lead electrocardiogram (EKG) is a laborious process. Artificial intelligence can automate the process m…

Using Aspirin to Mitigate Renal Toxicity of Lithium for Bipolar Disorder Using HEK293 Cells

Lithium treatment, the first-line medication for bipolar disorder (BD) mania, is known to cause chronic kidney disease, reported in at least 20% of BD patients. To manage BD mania, physician…

Using Bidirectional Transformer Neural Networks for Advancing Gender Bias Recognition in STEM Job Advertisements

Behavioral and Social Sciences

Gender disparity persists in most STEM fields, where men vastly outnumber women. Recent research shows that gendered wording in advertisements for STEM jobs may have a significant influence…

Using Black Soldier Fly Larvae for Carbon Emissions Reduction and High-Value Extractions Towards Sustainable Waste Management

Environmental Engineering

With the recent increase of human population, food production rates have surged, resulting in one-third of all food produced worldwide to be wasted. With typical methods of waste management…

Using Computer Vision to Analyze Traffic

Robotics and Intelligent Machines

Purpose: In a world where the population is ever-increasing, optimizing transportation routes has become imperative. The following project aimed to create a more efficient method for analyzi…

Using DNA for Data Storage Including Quantum Dot Identifiers and Blockchain

Computational Biology and Bioinformatics

My research provides the theoretical storage of data in DNA, expressed using the four natural “A,” “C,” “G,” and “T” DNA nucleobases. The DNA-stored information may be actual biological geno…

Using Fall Leaves To Make Biodegradable Films

Environmental Engineering

This project continues on the foundational research of using spent coffee grounds to make biodegradable films by harnessing the bountiful and renewable potential of fall leaves, this project…

Using Immune Footprints in a Novel Deep Learning Model to Detect Human Diseases

In response to diseases and regardless of their characteristics, humans have developed an all - encompassing defense mechanism known as the immune system, where antibodies are a key player.…

Using Iron and Graphene Oxide Nanoparticles to Induce Targeted Apoptosis in Cancerous Cells

Cellular and Molecular Biology

Cancer is a worldwide problem, especially breast cancer in women, with the treatment options consisting primarily of chemotherapy. It is not only very expensive but it is known to target fas…

Using LTE Modeling to Find Unique Molecular Tracers for Star Formation Processes in the Central Molecular Zone of the Milky Way

Physics and Astronomy

In the Milky Way's Central Molecular Zone (CMZ), dense and extreme conditions render molecules that typically act as tracers for processes associated with star formation in the interstellar…

Using Machine Learning Species Distribution Modeling as a Novel Approach to Efficiently Predict Forest Development Suitability

Earth and Environmental Sciences Fourth Award

Current reforestation practices are limited, with many failing to meet the necessary rates required for forest expansion. In view that commonly used multicriteria analyses introduce subjecti…