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Dataset for \u27A Deep Learning Approach for Infrasound Signal Detection for Snow-Covered Areas\u27
No full textWaveform and statistical data accompanying the journal article A Deep Learning Approach for Infrasound Signal Detection in Snow-Covered Areas, submitted for consideration to Applied Acoustics.
The infrasound sensor array technique is an established method for detecting and monitoring rapid gravity-driven mass movements from infrasound waveform. This technique requires the deployment of two or more sensors at an infrasound station. By employing the array techniques, signals are isolated from various sources of noise by computing cross-correlation measures between recorded signals across spatially distributed sensors at a station. Using multiple sensors requires additional processing that potentially increases event alert time. In this study, we present a signal detection method utilizing deep learning to identify high-quality signals in infrasound waveforms with data from a single infrasound sensor in contrast to multiple sensors required by the array method. This method aims to eradicate the additional processing required by the array techniques. The process involves using audio signal processing techniques to extract discriminatory features from the waveforms, which are then used to train a deep learning model. Data collected over a month period from Little Cottonwood Canyon, Utah, USA was used in this study. The location provides a continuous dataset featuring diverse events that include potential avalanches. Our research is motivated by the goal of identifying snow avalanche signals using a single infrasound sensor. The first step demonstrated in this work involves the use of deep learning techniques to identify high quality signals in recorded infrasound waveforms, including potential avalanche signals. The performance of the resulting optimal model was evaluated across a temporal and spatial scale, consistently achieving a classifier effectiveness score of over 80%
Social Media Influencer\u27s Effect on the Health of Young Adults
No full textIn young adults ages 18-24, social media shapes behaviors and perceptions. As it has progressed, there are both beneficial and negative consequences to persistent exposure to social media. This study examines the impact of social media influencer marketing on young adult health by analyzing peer-reviewed articles and studies that support media marketing, along with those highlighting its negative effects. The expectation is that many young adults receive inaccurate information, leading to health washing, where products are falsely promoted as healthy without delivering the promised results. This topic holds significant importance for both current and future young adults, influencing self-image, access to reliable information, financial decisions, and overall well-being
The Economic Viability of Community Gardens
No full textThe City of Boise’s Climate Action Roadmap upholds a resilient local food system, with community gardens playing a key role. This project evaluates the economic viability of investing in community gardens by identifying barriers, challenges, and community interest. Through a literature review, stakeholder interviews, and a public survey, we assess the costs, benefits, and long-term sustainability of community gardens in Boise. Data collection includes insights from existing garden leaders in the Treasure Valley and responses from residents on accessibility, potential improvements, and funding. Researching other successful models in other cities further informs the findings of this project. The results will provide actionable suggestions for the City of Boise, guiding future investment in community garden projects. Deliverables include a comprehensive report and a visual poster outlining key findings. By integrating economic viewpoints with environmental and social benefits, this project supports data-driven decision making on whether to put resources toward expanding community gardens in Boise
Additive Manufactured Boron Nitride Coatings for Extreme Environments via Micro-Dispense Printing Techniques
No full textThe additive manufacturing community has demonstrated interest in printed nanoparticle-based coatings as electrical insulators, thermal conductors and active materials, and anti-corrosion barriers. Specifically, micro-dispense printing (MDP) techniques show potential for enhancing the functionality of printed electronics due to the extrusion-based printing modality that allows for use of highly viscous inks, supporting conformal printing of films over 2D and 3D surfaces. Furthermore, hexagonal boron nitride (BN) inks and their respective coatings possess favorable anisotropic electrical and thermal properties which can be used to enhance heat dissipation through thermal conductivity and overall operational condition of coated devices. In this study, as-received cubic and hexagonal BN powders were characterized via particle size analysis (PSA), X-ray diffraction (XRD), and scanning electron microscopy (SEM) to provide knowledge of powder particle size dispersion, agglomeration, and crystalline structure that inform the processes for formulating BN-inks. Ink formulations were developed at varying BN-loadings to optimize ink viscosity and determine extrusion parameters via the nScrypt MDP. Project results provide a better understanding of characteristic properties of BN, as well as insight towards how rheological properties like viscosity and applied shear stress impact the quality of resulting films
The Impact of Pesticide Exposure on Farmers in Rwanda
No full textFarmers in Rwanda rely on pesticides to protect their crops; however, limited regulations, safety measures, and access to proper training increase the risk of harmful exposure. This study aims to explore the known health impacts of pesticide exposure for farmers in Rwanda, focusing on commonly used pesticides (profenofos, cypermethrin, mancozeb, malathion, and permethrin) and ways people are being exposed to them. Data was collected through government reports from the Republic of Rwanda Ministry of Agriculture and Animal Resources, research articles from PubMed and Google Scholar, material safety data sheets, and databases such as the Toxin and Toxin Target Database (T3DB) and the National Pesticide Information Center. Based on a literature review, using databases, and consulting with experts, the findings demonstrate that farmers experience acute and chronic health effects from pesticide exposure through mixing, handling, and applying pesticides. Acute effects include dizziness, nausea, respiratory issues, and skin irritation, while chronic exposure has been linked to neurological disorders, endocrine disruption, and increased risk of cancer. This research highlights that limited safety knowledge, weak regulations, and frequent pesticide use contribute to health risks for Rwandan farmworkers, presenting a need for advocacy to protect them from harmful exposure
Meta-Materials in Energy
No full textMetamaterials are engineered materials with unique properties not found in nature, designed to manipulate electromagnetic waves in novel ways. These materials have garnered significant attention for their potential applications in energy harvesting, storage, and transmission. By controlling light, sound, and heat, metamaterials offer new possibilities for enhancing energy efficiency and sustainability.
The purpose of this poster is to provide the reader background information regarding meta-materials including low level fabrication, their uses in industry, and some current research that is being performed using meta-materials to advance energy
The Impact of Social Media Influencer Content on Consumer Purchasing Decisions
No full textObjective:
This research study aimed to identify what makes social media influencers more effective in building trust and driving purchasing decisions. It focused on how trust, respect, engagement, and content relevance influence perceptions of influencer credibility and impact.
Methodology & Sample:
We used Qualtrics to distribute an online survey through personal networks, collecting responses from 225 participants. Respondents ranged in age from under 18 to 66+, with an average age of 23. Approximately 66% identified as female and 33% as male.
Analysis:
We analyzed the data using SPSS, including correlation analysis, regression analysis, and independent samples t-tests.
Key Findings:
The findings suggest that trust in influencers is strongly associated with content that aligns with personal needs, as well as with perceptions of respect and value. Higher engagement, reflected through frequent posting and thoughtful interactions, also positively influenced trust and credibility. T-test results indicated that women were significantly more influenced by an influencer’s knowledge, sense of respect/value, and the number of likes compared to men. All relationships and group differences reported were statistically significant, supporting the importance of authentic, engaging, and relevant influencer content in shaping consumer trust and behavior
Triple Aim
No full textBoise State University, the home of the blue, offers a wide range of academic, health, and support services designed to enhance student success and health. Many students are either unaware of these resources or unsure how to use them effectively, leading to an inequitable distribution of awareness on campus. Access to health services aids mental health to influence how we live, learn, work, and play. This study examines the knowledge gap of medical care, green spaces, and a safe campus environment between Boise State personnel and the student body. Comparative studies, peer reviewed journals, and the Boise State Policy Library were utilized for data collection. Our findings suggest that targeted outreach, transparent communication, and proactive engagement can bridge this gap, fostering a more informed and resourceful student body. By identifying key barriers that contribute to this knowledge gap, we aim to develop strategies that improve communication and accessibility, ensuring students can fully benefit from Boise State resources