Many nanotechnology-related principles can be demonstrated in a way that is understandable for elementary school-aged children through at-home activity videos. As a part of a National Science Foundation funded grant, Dr. Qing Hua Wang’s research group at Arizona State University developed a nanotechnology-related activity website, Nano@Home, for students. In conjunction with ASU’s virtual Open Door 2021, this creative project aimed to create activity videos based on the Nano@Home website to make the activities more interactive for students.

There is surprisingly little scientific literature describing whether a hockey slap shot positively or negatively transfers to a driving golf swing. Golf and hockey use a similar kinematic sequence to send the ball / puck towards a target, but does that directly translate to positive skill transfer between the two sports, or are there other important factors that could result in a negative skill transfer? The aim of this study is to look further into the two kinematic sequences and determine their intertask skill transfer type. A field experiment was conducted, following a specific research design, in order to compare performance between two groups, one being familiar with the skill that may transfer (hockey slapshot) and the other group being unfamiliar. Both groups had no experience in the skill being tested (driving golf swing) and various data was collected as all of the subjects performed 10 golf swings. The results of the data analysis showed that the group with experience in hockey had a higher variability of ball distance and ball speed. There are many factors of a hockey slapshot that are likely to develop a negative intertask skill transfer, resulting in this group's high inconsistency when performing a golf swing. On the other hand, the group with hockey experience also had higher mean club speed, showing that some aspects of the hockey slapshot resulted in a positive skill transfer, aiding their ability to perform a golf swing.

Stress for college students is nothing new and as more kids go to college the number of cases are on the rise. This issue is apparent at colleges across the nation including Arizona State University. StreetWise aims to help students prevent or appropriately deal with stress through interactive lessons teaching students life skills, social skills, and emotional intelligence.<br/>In order to prove the value of our service, StreetWise conducted a survey that asked students about their habits, thoughts on stress, and their future. Students from Arizona State University were surveyed with questions on respondent background, employment, number one stressor, preferred learning method, and topics that students were interested in learning. We found that students’ number one stressor was school but was interested in learning skills that would prepare them for their future after graduation. We used the results to make final decisions so that StreetWise could offer lessons that students would get the most value out of. This led to us conducting a second survey which included mock ups of the website, examples of interactive lesson plans, and an overview of the app. Students from the first survey were surveyed in addition to new respondents. This survey was intended for us to ensure that our service would maintain its value to students with the aesthetic and interface that we envisioned.

The objective of this experiment was to investigate the correlation between the starting pitch angle of a Dragon Boat paddle and the ensuing total stress and force on the paddle during the first stroke. During the first stroke (i.e., starting at rest) the stress on the paddle can be equated with the force output. To do this, a paddle was modified with a strain gauge and other equipment, and tests were run varying the pitch angle. The results showed that while the most positive starting angle yielded the highest stress and force on the paddle, there was no discernible trend correlating the angle to the stress. Further experimentation must be run to determine which other factors influence the stress.

The purpose of this project is to analyze the current state of cancer nanomedicine and its challenges. Cancer is the second most deadly illness in the United States after heart disease. Nanomedicine, the use of materials between 1 and 100 nm to for the purpose of addressing healthcare-related problems, is particularly suited for treating it since nanoparticles have properties such as high surface area-to-volume ratios and favorable drug release profiles that make them more suitable for tasks such as consistent drug delivery to tumor tissue. The questions posed are: What are the current nanomedical treatments for cancer? What are the technical, social, and legal challenges related to nanomedical treatments and how can they be overcome? To answer the questions mentioned above, information from several scientific papers on nanomedical treatments for cancer as well as from social science journals was synthesized. Based on the findings, nanomedicine has a wide range of applications for cancer drug delivery, detection, and immunotherapy. The main technical challenge related to nanomedical treatments is navigating through biological barriers such as the mononuclear phagocyte system, the kidney, the blood-brain barrier, and the tumor microenvironment. Current approaches to meeting this challenge include altering the size, shape, and charge of nanoparticles for easier passage. The main social and legal challenge related to nanomedical treatments is the difficulty of regulating them due to factors such as the near impossibility of detecting nanowaste. Current approaches to meeting this challenge include the use of techniques such as scanning tunneling microscopy and atomic force microscopy to help distinguish nanowaste from the surroundings. More research will have to be done in these and other areas to enhance a major cancer-fighting tool.

Water scarcity is still an issue across the globe, so nonconventional desalination methods need to be developed to be able to get access to clean, safe water. One such method being studied is the pervaporation system, a membrane process that uses a vapor pressure differential to drive the system. There is a need to find the efficiency of the cold trap condenser that is used to collect the permeate so that a thermodynamic model can be fully developed to assist in the development of an industrial scale pervaporation system. An efficiency was not able to be confidently found, but it is believe to be between 95-100%.

In the past decade, the volume, variety, and velocity of amassed data relevant to healthcare have reached staggering levels. This data has come in the form of numerous sources such as electronic health records, genome sequencing, pharmaceutical research. This recent rise of big data in healthcare has enabled the rise of new healthcare research methods. One of these emerging methods is known as drug repositioning (also commonly known as drug repurposing) and is the process of finding new clinical applications for existing FDA-approved drugs that have previously been approved for a different indication (Naveja et al., 2016). This process often leverages big data sources containing information about specific drugs and diseases and utilizes specialized algorithms and bioinformatics techniques to find unknown connections between certain drugs and diseases.
The traditional drug discovery process often amasses substantial costs, faces high attrition rates, progress at an extremely slow pace, and has no guarantee of receiving FDA approval by the end of the process. On average, the total cost and timeframe of drug discovery are $2.6 billion and at least 10 years (PhRMA, 2015). Alternatively, drug repositioning has become an increasingly attractive approach to pharmaceutical development and drug discovery because it has the potential to circumvent these obstacles by utilizing “de-risked” FDA-approved compounds, employing lower-cost computational research methods, and necessitating shorter development timelines (Pushpakom et al, 2019). Used effectively, drug repositioning can save a lot of money, time, and lives.
One potential application of drug repositioning research is in neurodegenerative diseases, which are diseases that primarily affect neurons in the brain. Many of these diseases manifest themselves through complex mechanisms that can impair memory, cognition, and movement. Huntington’s Disease (HD) is a fatal genetic progressive neurodegenerative disease that causes the progressive breakdown of neurons in the brain. This disease is caused by a trinucleotide repeat disorder known as a CAG repeat. This means that, due to a mutation in a person’s DNA, a set of code in the DNA erroneously repeats itself an excessive number of times. These mutations lead to the production of deformed, highly reactive proteins that can cause neuronal dysfunction, degeneration, and death. The number of repetitions varies from person to person, and longer repeat chains tend to cause the onset of HD to occur earlier in life. Symptoms include loss in motor function, personality and behavioral changes, decline in cognitive function, severe weight loss, and suicidal ideation (Heemskerk and Roos, 2012). One unique facet of the disease is that symptoms generally do not begin to appear until ages 30-50 and worsen over the course of a 10-25-year period. HD is also an autosomal dominant hereditary disease, meaning that any parent who is a carrier of the genetic disorder has a 50% chance or higher of passing the gene to his/her child. The high transmission rate, coupled with the prolonged symptoms of the disease, makes HD a devastating disease for families, as individuals are often unaware of their HD disease until after they have already had offspring. Currently, there are approximately 30,000 symptomatic HD patients and more than 200,000 individuals at risk for developing HD. The disease is also significantly more frequent in Western countries. There is no known cure for the disease, and the only focus of treatment is managing symptoms.
The goal of this Honors Thesis project is to utilize basic drug repositioning methods to develop a disease profile for HD and curate a set of drugs that can be tested and validated for HD treatment in future experiments.

The goal of this thesis was to simplify the sample preparation process for cryogenic electron microscopy (cryo-EM), clearing the way for the imaging of larger biomolecules and further expansion of the field. Various protic ionic liquids (PILs) were chosen for synthesis according to their pH and other physical properties. After several failed synthesizes, one PIL, cholinium dihydrogen phosphate, was chosen for further testing. This solution was put through a series of vitrification tests in order to understand its crystallization limits. Once limits were understood, cholinium dihydrogen phosphate was combined with ribosomal proteins and viewed under a transmission electron microscope to collect negative stain images. After adjusting the ratio of PIL to buffer and the concentration of ribosomes, images of whole intact ribosomes were captured. Samples were then placed in an EM grid, manually dipped in liquid nitrogen, and viewed using the the cryo-EM. These grids revealed ice too thick to properly image, an issue that was not solved by using a more aggressive blotting technique. Although the sample preparation process was not simplified, progress was made towards doing so and further testing using different techniques may result in success.

Heavy metals such as selenium can be especially important to limit because they can cause serious health problems even at relatively low concentrations. In an effort to selectively remove selenium from solution, a PAABA (poly(aniline-co-p-aminobenzoic acid) conductive copolymer was synthesized in a selenic acid solution, and its ability to remove selenium was studied. Analysis of the Raman spectra confirmed the hypothesized formation of PAABA polymer. Constant voltage cycles showed success in precipitating the selenium out of solution via electroreduction, and ICP-MS confirmed the reduction of selenium concentrated in solution. These results indicate the PAABA synthesized in selenic acid shows promise for selective water treatment.

With renewable energy on the rise, researchers have turned their funding and their focus towards new solar cell technologies, and perovskites are a major source of interest. This class of materials is particularly interesting due to their quick, simple synthesis as well as their physical and electrical superiority when compared to current silicon-based solar cells. Through this thesis, we will explore the synthesis of various types of perovskites and their subsequent characterization, which includes optical microscopy, photoluminescence spectroscopy, Raman microscopy, and X-ray diffraction. Analyzing two different perovskites both before and after a two-week period of storage revealed that while synthesis is indeed experiment-friendly, these materials have a concerning lack of stability even in ideal conditions.