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The Apple Effect: Unveiling the Power of Social Media Marketing in Apple\u27s Advertising Mastery
Get PDFThis research dives into the top marketing strategies shown by Apple on their Instagram page. Five main themes have been identified: Creativity, people, nature, emotion, and technique. Through each of these themes we see how Apple fosters a sense of belonging and uses this marketing strategy to encourage continued company growth
TikTok Triumph: Unpacking Duolingo\u27s Marketing Success
Get PDFDuolingo, a language learning app, has an infamous social media presence across many platforms. Recently, they took their risky humor to the next level by killing their mascot (don’t worry, there’s a happy ending!)
Their platform on TikTok typically receives more engagement from users and brands, because that is where they first went viral for their ‘threats” against users
The Impact of Lactoferrin and Iron-Enriched Whey on Iron Absorption, Gastrointestinal Symptoms, And Menstrual Health in Women
Get PDFBackground Iron is essential for oxygen transport, energy metabolism, and overall health. 1 In the U.S., 20% of women aged 18–45 do not meet the estimated average requirement (18 mg/day). 2,3 Ferrous sulfate (FS) effectively improves iron levels but often causes severe gastrointestinal (GI) side effects. 4 Previous research has suggested that lactoferrin, a milk-derived glycoprotein, may provide comparable iron delivery with fewer GI issues. 4 Research suggests that lactoferrin, a milk-derived glycoprotein, delivers iron as effectively as ferrous sulfate, with fewer gastrointestinal issues. 4 This clinical trial, conducted at USU’s Center for Human Nutrition Studies, examined the effects of twice-daily consumption of a whey-based drink enriched with lactoferrin (200 mg/serving), vitamin B12 (5.2 μg/serving), and iron (6 mg/serving) (FerriUp™) over 16 weeks. It was hypothesized that the whey-based drink would enhance serum ferritin and markers of iron metabolism while reducing GI symptoms compared to the control groups
The STEM Gender Gap: Can it be Closed?
Get PDFIntroduction
While many industries have achieved gender parity, women remain underrepresented in STEM fields, with participation stagnating between 32% and 35% from 2011 to 2021. Research suggests this gap is influenced by relative cognitive strengths and social/societal factors. This study analyzes two datasets: (1) SAT score report data from the National College Board and (2) employment data from the 2021 NCSES Survey of Recent College Graduates. Findings highlight disparities at the highest percentiles and lower workforce participation among female STEM graduates
Assessing Response Diversity of Spawning Conditions Among Streams Due to Interannual Changes in Snowpack
Get PDFIntroduction Temporarily available streams, including intermittent streams, account for roughly 79% of streams in Utah alone (National Hydrography Dataset (NHD) 2008; Goodrich et al., 2018), yet are often overlooked as suitable habitats for native fishes. Intermittent streams are inundated during native Cutthroat Trout (Oncorhynchus clarkii) spawning season (Budy et al., 2012) and can be used by spawning trout during some years (Rousseau 2024) Understanding the role of intermittent streams for productivity of basin scale populations is critical to determining the scale of habitats necessary to conserve stable, productive populations. To characterize intermittently available spawning habitats, we assess the following objectives:
Characterize spawning habitat suitability among intermittent and perennial tributaries under different snowpack conditions.
Compare response diversity among tributaries to changing climatic conditions within the Logan River Watershed across three years.
Assess the interannual variation in spawning habitat suitability within individual tributaries and at the basin scale as a whole
Uinta Basin Snow Shadow: Impact of Snow-Depth Variation on Winter Ozone Formation
Get PDFAfter heavy snowfall in the Uinta Basin, Utah, elevated surface ozone occurs if a cold-air pool persists and traps emissions from oil and gas industry operations. Sunlight and actinic flux from a high-albedo snowpack drive ozone buildup via photolysis. Snow coverage is paramount in initiating the cold pool and driving ozone generation. Its depth is critical for predicting ozone concentrations. The Basin’s location leeward of the Wasatch Mountains provides conditions for a precipitation shadow, where sinking air suppresses snowfall. We analyzed multiple years of ground-based snow depth measurements, surface ozone data, and meteorological observations; we found that ozone levels track with snow coverage, but diagnosing a shadow effect (and any impact on ozone levels) was difficult due to sparse, noisy data. The uncertainty in linking snowfall variation to ozone levels hinders forecast quality in, e.g., machine-learning training. We highlight the importance of a better understanding of regional variation when issuing outlooks to protect the local economy and health. A wider sampling of snow depth across the Basin would benefit operational forecasters and, likely, predictive skill
Predicting Major Solar Flares Using Convolutional Neural Networks and Multivariate Magnetic Field Time-Series Data
Get PDFMajor solar flares are sudden, intense bursts of X-ray energy from the Sun, capable of severely impacting critical technological infrastructure like satellites, communication networks, and power grids on Earth. Accurate prediction of these high-intensity events is crucial but presents a significant challenge. This is largely due to their infrequent occurrence and the complex, dynamic nature of the Sun\u27s underlying magnetic activity which drives these events. This research focuses on improving the prediction of major solar flares by utilizing detailed historical data that tracks the evolution of magnetic properties within solar active regions over time. This time-based data, however, contains inherent difficulties for building effective prediction models. Notably, major flares are significantly rarer than smaller events, the datasets often contain incomplete information or gaps, and the method used to collect the data can create complexities and redundancies that hinder accurate learning. We developed a new framework that combines a comprehensive, multi-step process to prepare this complex data with a computer model designed to overcome the dataset\u27s challenges. It includes methods for handling missing information, making measurements comparable, focusing the model on clear examples by filtering less distinct data points, and importantly, generating additional examples of the rare major flare events to improve the model\u27s ability to identify them. This process also incorporates careful data selection to account for how the data was collected over time. The computer model then learns to recognize the subtle magnetic precursors within this prepared data that indicate a future major flare. We rigorously tested our method using data from a period the model had not previously encountered. Evaluating its performance using a reliable measure of prediction skill particularly suited for rare events, our method achieved a high score exceeding 0.86. This result demonstrates a significant improvement compared to several other established prediction approaches. Our work underscores the critical importance of thorough data preparation and thoughtful design of learning systems in achieving robust and accurate forecasts for high-impact, low-frequency events in complex scientific domains such as space weather
Supercritical Carbon Dioxide (sCO\u3csub\u3e2\u3c/sub\u3e)-Cooled Current Source Inverter-Based Integrated Motor Drive for MW-Scale Electric Aviation Applications
No full textWide-bandgap enabled current-source inverter (CSI) is a promising power converter topology that has cleaner output voltage waveform, higher fault tolerance, and higher temperature operation capability than conventional voltage-source inverters (VSI). This paper presents a WBG-enabled CSI for a 2-MW integrated motor drive (IMD) for electric aviation application. The CSI system consists of two series-connected CSI that forms as a unit, and three such units are connected in parallel to drive a specially designed surface permanent magnet synchronous motor (PMSM) that has six individual groups of three-phase windings. Furthermore, the CSI’s dc-link inductor and power modules are cooled with supercritical carbon dioxide (sCO2), and also cools the integrated PMSM’s stator windings. The proposed CSI-based MW-scale IMD achieves an estimated 97.3% efficiency and 18.1 kW/kg power density. Its high-power density and promising fault-tolerance characteristics make it a competitive solution for MW-scale electric aviation applications
General Education Subcommittee Minutes December 4, 2025
No full textCall to Order Approval of Minutes - November 6, 2025 Course Approvals/Removals/Syllabi Approvals New Business Additional Items Adjourn: 9:30 a