UARK (University of Arkansas )
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Researching the Perceptions of Arkansas 4th and 5th Graders on the Origins of Food
No full textResearch suggests that 4th- and 5th- grade students are potentially ill-informed about general agricultural knowledge nationwide due to a growing gap between agriculture and the general population, including young students. As such, and with the help of an Honor’s College grant, students were surveyed at both rural and urban schools across Arkansas to assess how much they knew about where their food comes from and to determine whether they connected it back to agriculture. Additionally, students were asked to draw a picture of a farm to capture what farming means to them. A short presentation about general agricultural knowledge, following a seed of corn to the consumer plate, was used to assess its effectiveness in increasing awareness and interest in the agri-food system. Pre- and post-presentation responses were then analyzed for differences among students by i) grade level; ii) rural vs. urban elementary setting; and iii) whether or not the student had taken an Arkansas history class. The presentation effectively increased knowledge across all categories of questions. The presentation was also effective in generating career interest in agriculture and increased awareness of the connection between agriculture and food. The differences between rural and urban settings and by age highlight the importance of tailored educational experiences and strategies that could inform future curriculum development. Targeting students early on is one suggestion. Providing more real-life visuals in a presentation to urban students may also be more effective. As such, using information collected in this survey, we have gained insight into how to target educational materials about agriculture to appropriate audiences
Templated Antimicrobial Microgels And Methods Of Making And Using The Same
Get PDFDisclosed herein are antimicrobial materials comprising a carbohydrate-templated microgel and a plurality of metal ions complexed thereto. The carbohydrate-templated microgel comprises a network copolymer molecule comprising a monoacrylate monomer, a crosslinking monomer, and a ligand monomer and wherein the microgel is prepared by the copolymerization of the monoacrylate monomer, the crosslinking monomer, and the ligand monomer in the presence of a carbohydrate or a carbohydrate derivative. The microgels have antimicrobial activity and allow for implementation of multiple, simultaneous mechanisms of antimicrobial action
Creative Brief for North Shores Resort & Marina
Get PDFIn today’s experience-driven travel market, destinations that offer authenticity, affordability, and a sense of community stand out. North Shores Resort and Marina, located on the scenic northeast end of Lake Ouachita, has long been a hidden gem offering a strong sense of family and community, prolonged camper stays, and more economical pricing compared to nearby marinas. Despite consistently high occupancy rates for boat slips and campsites, North Shores has an opportunity to expand its visibility and grow its customer base through improved marketing strategies. As a former employee with direct insight into the day-to-day operations, I identified key areas where North Shores can enhance its presence—particularly through a refreshed website design, an on-site reservation system, increased event promotion, and stronger Instagram engagement. This creative brief outlines a comprehensive and strategic approach to elevate North Shores’ marketing efforts, build brand awareness, and attract both returning and new visitors by leveraging its unique location, community atmosphere, and value-driven offerings. I propose my ideas in the form of a creative brief and strategic pitch
Creative Brief for Reign Storm
Get PDFThis thesis presents a comprehensive creative strategy for Reign Storm, a health-conscious energy drink under the Monster Energy brand, aiming to capture the attention and loyalty of Gen Z consumers. Recognizing Gen Z’s prioritization of wellness, transparency, and authenticity, the project develops actionable marketing strategies tailored to their values and behaviors. Through competitive analysis, consumer research, and trend identification, the thesis identifies Reign Storm’s market opportunities and challenges in a rapidly growing clean energy sector dominated by brands like Celsius and Alani Nu.
Key deliverables include the creation of a Collegiate Ambassadors Program, a strategic content plan to maximize TikTok engagement, and recommendations for product expansion to include wellness-focused SKUs like protein bars and powder packets. Each strategy is designed to enhance Reign Storm’s market visibility, foster brand loyalty, and trade consumers over from competing brands while tapping into Gen Z’s social habits and digital media consumption. These recommendations were grounded in real user insights, supported by shopper marketing frameworks, and presented to the Monster Energy Company as part of the author’s internship experience
Exploring User Sentiment on Social Issues via Neural Network Transfer Learning in Digital Communities
Get PDFUnderstanding public sentiment on social issues is crucial for gauging the stance of the general population. Traditionally, surveys have been a common approach for this. However, to capture more candid opinions, social media provides a rich source of unadulterated opinions. By analyzing social media statements, we can gain insights into the perspectives of specific groups. More specifically, we will investigate the attitudes of the public into the relationship between hard work and success in the workplace.
Using a neural network trained on tweets from X, formerly known as Twitter, we can categorize each tweet as either pro-luck or pro-meritocracy. But will this neural network, trained on a particular set of tweets, accurately assess sentiment on slightly different topics from the same platform? This is where the concept of transfer learning comes into play. We have trained our model with certain topics, but we are interested in testing it against related, but different topics. Transfer learning is a useful technique in neural networks since it eliminates the need to train a neural network from the start, which could be both time consuming and costly. However, it\u27s crucial to evaluate the effectiveness of the transfer learning model to gauge its reliability
Localized Intraarterial Drug Delivery Device
No full textStroke is a prevalent and deadly disorder that causes significant human and economic loss each year. Treatment of stroke is largely done through two routes: intravenous thrombolytic therapy and mechanical thrombectomy. This paper considered a design for a device that combines these two approaches. The device aims to use localized delivery of a thrombolytic agent to a clot site to treat stroke clots. An iterative approach to design was taken to continue to refine device designs generated by previous work. Components, including a balloon for localization, a semi-porous membrane for drug dispersion, and combinations were tested in scaled-up form. Generalizations of the device to allow for other applications of localized intra-arterial drug delivery were also considered
Modeling Cell Buildup and Release in an Ultrafiltration Cartridge
Get PDFWhile membrane filtration has improved greatly and has been incorporated into many modern practices, there isn’t much data on material exchange in and out of the lumen and how that effects the overall efficiency of the process. This data may help to accurately measure the reliability and efficiency of a filtration membrane system, which can lead to improvements in filtration sustainability, process lifespan, and product quality.
This project aims to model the material balance within a perfusion bioreactor ultrafiltration system in MATLAB, with a focus on bioreactors and cell buildup and release from the lumen. The results of this study will be used as a comparison for real-world trials using freshlight filtration cartridges. In its current state, the MATLAB model finds values for cell concentration throughout the system and overall material buildup within the filtration cartridge given a permeate and tank draw from the system. Starting values for volume, volumetric draw, concentration, and exchange rates were found with preliminary data and can be adjusted based off the compared real-world system. Some different values for each were tested to see how this variance affects how the system reacts.
Based off the results of similar research, the concentration distribution in the system is expected to be roughly a 50:50 split of cells in the reactor and filter once reaching steady state. Since the volume changes with the flow rate out of the system, this volume change should be linearly decreasing
The Use and Implications of the Visual Presentation in the 2024 Presidential Debates
Get PDFIn this study, the two 2024 presidential debates were analyzed for a variety of different trends including: who was on screen, the different camera shots used, and camera movement. Looking specifically at who was on screen, coding counted the moderators, Donald Trump, Joe Biden, and Kamala Harris. Six different camera shot types were also analyzed including: wide-overview shot, split-screen format, single medium shot, two-shot head on, two-shot low camera angle, and two shot high-camera angle. Camera movement behaviors were: counterclockwise motion, clockwise motion, zoom-in, zoom-out, and no movement. Video formats of the 2024 CNN and ABC debates were run through Observer XT, a coding software, and were examined for the frequency and duration of each behavior. After that, all coding was exported and sorted for each behavior throughout both of the debates. Patterns and trends for each debate are also analyzed. Results share what shot type and movement type was used most frequently and took up the most time during each debate, as well as who spent the most time on screen
Development and Validation of a Computational Fluid Dynamics Model Using Wind Tunnel Experiments
Get PDFA gas release computational fluid dynamics model was developed and validated using a previous wind tunnel experiment conducted by Daniel Williams. This simulation was modeled using CHEM software, and based on experimental conditions used in the University of Arkansas’ Chemical Hazard Research Center’s wind tunnel. These include ultra-low wind speeds, working in the atmospheric boundary layer, and using finite release durations with a neutrally buoyant gas. The simulation was developed in two phases: inflow and release. The inflow phase consisted of the development of the atmospheric boundary layer. The data from the simulation aligned well with the wind tunnel data. The release phase of the simulation consisted of the entirety of the tunnel and the gas release. The results from the simulation indicated a consistent leftward motion in all of the trials. Possible causes for this could be the small lateral range used for the simulation, periodic boundary conditions exacerbating meandering, and the small number of runs compared with previous data. Some future steps would be to continue to develop the release phase of the model further. Once developed, this model can be used to determine causes of cloud edge trends and predict experimental data before experiments are physically run. Additionally, because of how well the alignment was between the previous data and the simulation, the inflow phase can be used for other experiments with the same wind speed. However, it would also be worthwhile to compare Reynolds stress components for additional confirmation of dataset agreement
Multifunctional PVDF Ionogels with Magnetic Nanoparticles for Electroactive and Magnetic Actuation
Get PDFThe fast development of compact and multifunctional electronics has driven interest in smart materials capable of responding to multiple stimuli. Ionogels, polymers that have been swollen with ionic liquids (IL), offer several favorable electrochemical and thermal properties due to their intrinsic ion conductivity, wide electrochemical window, non-flammability, and high thermal stability. However, their poor mechanical properties (e.g., modulus and strength) limit their use in applications. In this work, multifunctional PVDF ionogel composites were made by blending magnetically responsive iron oxide nanoparticles (Fe3O4 MNPs) into the polymer matrix. The influence of MNP concentration (9-21 wt%) on composition, ionic conductivity, and mechanical properties were investigated to demonstrate dual stimuli response through electroactive and magnetic actuation. The resulting materials show fast macroscale actuation under magnetic fields and microscale electroactive actuation at low voltages, demonstrating their potential for applications such as soft robotics or wearable electronics