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Consumer Preferences for Delayed Ripening in Apples: A Comparative Study of Gene-Edited and All-Natural Fruit Coating
No full textThis study investigates consumer preferences for food waste reduction technologies using a discrete choice experiment and Latent Class Analysis (LCA). Willingness to pay (WTP) results reveal a higher WTP for gene-edited (3.05/lb) relative to untreated apples ($1.80/lb). LCA identifies three consumer segments with distinct preferences and behavioral traits. Segment differences in WTP, food waste concern (F = 12.13, p \u3c 0.001), and consumption habits (F = 20.40, p \u3c 0.001) were statistically significant. Findings highlight the need for tailored marketing and policy strategies to promote the adoption of sustainable technologies and reduce food waste.https://scholarworks.uark.edu/hnrcsturpc25/1003/thumbnail.jp
Surviving Their Stripes: the Diagnostic Odyssey and Impact of Life with Hypermobile Ehlers-Danlos Syndrome
No full textBackground: Hypermobile type Ehlers-Danlos Syndrome (hEDS) is subtype of Ehlers-Danlos Syndrome that is a genetic connective tissue disorder with complexities involving joint hypermobility, tissue fragility and severe pain. Patients often experience misdiagnosis, medical dismissal and years of waiting for a diagnosis. Purpose: This study aims to evaluate the quality of life and diagnostic journey for patients living with hEDS.https://scholarworks.uark.edu/coesym25/1008/thumbnail.jp
Attribute Based Assortment Using Machine-Learning
No full textRetail success is influenced by a store\u27s demographic and environmental context, both of which impact item-level sales performance. This study applies machine learning techniques to optimize item allocation based on club attributes at Sam’s Club locations. By analyzing store- specific factors such as proximity to universities, income levels, and regional preferences, the research identifies patterns that contribute to product demand. The results offer insights into how clubs can enhance inventory decisions, improving sales outcomes while reducing inefficiencies. This study reinforces the value of data-driven retail strategies and presents a practical framework for implementing predictive models in a real-world business context
Fabrication and In vitro Biocompatibility Assessment of Composite-Coated Magnesium Materials
Get PDFThis study provides a comparative assessment of the corrosion, morphology, and biological properties of four of the most promising coating methods for magnesium in biomedical applications, namely micro-arc oxidation (MAO), graphene oxide (GO)-containing MAO coating, MAO/sol-gel composite coating, and MAO/polycaprolactone (PCL) polymer dip coating approaches. Despite the abundance of research focused on these promising approaches, there is a notable lack of comparative studies evaluating their properties. To this end, the investigated composite coatings are ZK60+MAO, ZK60+MAO/GO, ZK60+MAO/Sol-gel, and ZK60+MAO/PCL composite coating. Several tests were used to assess various properties of the prepared groups such as in vitro corrosion characteristics, surface microhardness, adhesion strength, hydrophilicity, and cytotoxicity. The ZK60+MAO/Sol-gel composite coating demonstrated the highest in vitro corrosion resistance by approximately no weight loss over 14 days of immersion, surpassing both the ZK60+MAO and ZK60+MAO/PCL coating groups. Also, the addition of GO layered particles to the MAO coating electrolyte improved corrosion resistance to 0.21% over the immersion period and biocompatibility. In addition, the ZK60+MAO/PCL composite coating exhibited the greatest biocompatibility compared to the other applied coatings, evidenced by the highest cell viability on average of 93% across all dilutions and a more hydrophilic surface by expressing a lower contact angle of 54.8°. Some discrepancies between the corrosion results from immersion tests and electrochemical corrosion tests were observed which emphasizes the importance of incorporating multiple corrosion testing methods in future corrosion studies. This study underscores the feasibility of producing biocompatible Mg-based implants with controlled corrosion properties through the application of diverse composite coatings
Heinrich Krieger and the Nazi Vision of the United States
No full textOn June 5, 1934, seventeen Nazi lawyers, jurists, scholars, and officials met to discuss how Nazi Germany would go about identifying and persecuting their Jewish population. This crucial meeting would lay the foundation for the Nuremberg Laws that were later created and passed in 1935. From the records of this meeting we know that US race laws concerning its black and Indian population was used as a model for the Nazi lawyers and much of the information on US race laws was obtained from research conducted by a Nazi scholar named Heinrich Krieger that was influential during the meeting.
Before this meeting Heinrich Krieger had spent a year at the University of Arkansas as a foreign exchange student during the 1933-1934 school year. While in Arkansas Krieger would partake in multiple campus activities and write a seminar paper on Nazi German labor policies as an apologist on behalf of Germany to the US. However while spending time in Arkansas Krieger would begin to notice race relations in the state that would lead him to study US race laws that would be used by Nazi officials to create the Nuremberg laws.
This thesis will study the development of Krieger while a student in Arkansas to reveal how Krieger and the Nazi party had no master plan to use the US and its race laws as a model for the Nuremberg laws. Rather by examining Krieger\u27s development from labor scholar to race scholar, we can see how Krieger and Nazi officials were opportunists who came across US race laws and saw its potential. Also, Arkansas and its race laws and race relations will be examined to learn how the state influenced Krieger\u27s research and understanding of US race laws.https://scholarworks.uark.edu/hnrcsturpc25/1045/thumbnail.jp
The Effect Protein Supplementation on Waist-to-Hip Ratio, BMI, Lipid Profile, and Resting Energy Expenditure in Postmenopausal Women
Get PDFPostmenopausal women are a growing and at risk population that face increased risk for adverse changes in body composition, lipid profile, and overall cardiometabolic health due to hormonal changes associated with aging. Over 40% of postmenopausal women have obesity, which can be linked not just aging but the menopausal transition. Because of the negative effects of menopause on cardiometabolic, research into dietary interventions to combat these effects are needed. High-protein diets have shown promise in mitigating these effects, but sufficient research has not been done to determine the effects on postmenopausal women. This study aimed to evaluate the effects of daily beef consumption as a part of a high-protein diet on markers of cardiometabolic health, body composition, and energy metabolism in postmenopausal women over 8 weeks . In a randomized controlled trial, healthy postmenopausal women were assigned to either a high-protein diet that included daily lean beef consumption or a standard-protein diet with limited beef intake for 16 weeks. The evaluated markers for healthy aging were BMI, waist-to-hip ratio, resting energy expenditure (REE), and lipid profile. REE and lipid profile were both taken in a fasted state. Preliminary findings showed trends in the high-protein beef group for improvements in HDL cholesterol, REE, and waist-to-hip ratio. There was no change in BMI for either group and REE improved in both the intervention group and the control. The limited sample size and time allowing only for the first 8 weeks of data to be collected up to this point hindered the statistical significance of the data collected. As the study continues and sample sizes grow, more conclusive results will be found. The adverse health effects of menopause are a serious public health issue for a growing population. Sufficient research to provide this specific population nutritional information for healthy aging has not been thoroughly conducted, so this study is a step in the right direction of helping improve the wellness of postmenopausal women
Computer Vision in Soccer: YOLOv11 Analytics Engine for Quantifying Game Strategy
Get PDFSingle-shot object detection capabilities significantly reduce computational overhead for real-time computer vision in sports analytics at 60 FPS. YOLO11’s lightweight CNN gives promising accuracy while meeting the low-latency demand of dynamic soccer matches. As data-driven approaches take over the sport of soccer, efficient player tracking systems become critical for informing coach’s strategies. I prototype the ETL (Extract, Transform, Load) process of data collected from a single- shot detection program and evaluate its viability for estimating player fatigue. YOLO11 detects players, the ball, and other characteristics, with the output transformed by homography to estimate the positions in the real world. These frame-to-frame position estimates provide a data basis for further analytical metrics such as distance, speed, formation, and possession estimates. Experimental results demonstrate a 70% player detection rate using a single-camera setup and models trained on public datasets, validating the approach for cost-effective, near-real-time analytics
Defect Characterization of SiC Schottky Barrier Diode Using Deep Level Transient Spectroscopy
Get PDFThe aim of this project is to use deep level transient spectroscopy (DLTS) to energetically evaluate defects by using the carrier concentration dependence on temperature and where these carriers may experience deviation from standard predictions. These defects become apparent through multiple C-V measurements that are swept through a temperature range. By analyzing trends with respect to temperature, the defects can be energetically “located,” and thus identified. This identification can help streamline semiconductor material manufacturing/growth because DLTS identifies potential defect causes by providing data to characterize semiconductor mid-band defects. DLTS can assess nearly all parameters associated with traps/defects including density, thermal cross section, energy level, and their spatial profile/effective density
Construction and Characterization of an RF Anechoic Range
Get PDFAnechoic RF ranges are electromagnetically quiet spaces intended to provide conditions suitable for testing and classifying electronic equipment. Typically, ranges are constructed indoors, which presents a number of design challenges related to room geometry, cost, and material selection. This report describes the creation of an indoor anechoic range intended for characterization of antennas. Furthermore, the range is characterized for performance across a wide range of discrete frequencies in the UHF band according to CISPR standards, resulting in the determination of a lower frequency limit at which the room performance begins to degrade. The characterization of this range agrees with far-field approximations upon which power density is defined for dipoles. The range constructed and validated in this report exhibits strong shielding from ambient electromagnetic interference and is shown to be well suited for measurements at or above 550 MHz
Inflammatory response in UCD200/206 scleroderma-prone chickens to intradermal injection of SILIKON 1000
Get PDFIntradermal injections of silicone materials have resulted in chronic inflammation and fibrotic reactions in some individuals. The UCD200/206 line of chickens is characterized by spontaneous development of scleroderma/systemic sclerosis (SSc), a fibrotic autoimmune disease. This longitudinal study examined the cellular inflammatory activity initiated by SILIKON 1000 (a silicone product used as a filler in human skin) at the site of intradermal (i.d.) injection and in the peripheral blood in the SSc-prone UCD 200/206 (UCD) chickens and healthy White Leghorn (WL) controls. Specifically, the pulps of growing feathers (GFs) were i.d. injected with SILIKON or endotoxin-free, sterile PBS (8 and 3 birds/line, respectively; 10 µL/GF; 20 GF/bird). Three GFs and heparinized blood were collected before (0 d) and at 0.25 (6 h), 1, 2, 3, and 7 d post-injection (p.i.) to determine immune cell profiles by immunofluorescent staining of pulp- and blood-cell suspensions and cell population analysis by fluorescence-based flow cytometry. GF-pulp injection of SILIKON resulted in similar, rapid (6 h) heterophil and macrophage increases in GF-pulps in both lines, with higher macrophage levels (% pulp cells) at 6 h in UCD than WL. While GF-pulp lymphocyte levels did not change post SILIKON injection in both lines, levels were higher in WL than in UCD at 1 d p.i. In the blood, concentrations (103 cells/μL) of heterophils, monocytes, and lymphocytes did not change significantly over time, but heterophil and monocyte concentrations were higher in UCD at 2 d and at 6 h and 7 d p.i., respectively. Examination of lymphocyte subsets revealed similarly elevated levels of B cells and CD4+ T cells in GF-pulps of both lines. In the blood, B cell concentrations increased similarly in both lines, reaching peak levels at 2 d p.i. Concentrations of CD4+, CD8+, or γδ T cells did not change post GF-pulp SILIKON injection in UCD, but in WL there was a shift in the proportions among CD4+ T cells and γδ T cells, with increased and decreased concentrations from 1 to 7 d, respectively. Comparisons of the effects of SILIKON 1000 and PBS injections revealed that SILIKON resulted in higher monocyte/macrophage and CD4+ T cell recruitment into GF-pulps of WL chickens, and in higher recruitment of total lymphocytes, especially γδ T cells, into GF-pulps of SSc-prone UCD chickens. These observations, together with the greater levels of monocytes/macrophages in SILIKON injected GF-pulps and blood of UCD chickens, highlight the qualitative differences in the inflammatory responses initiated by SILIKON in SSc-prone UCD and healthy WL chickens. It appears that the inflammatory response in the SSc-prone UCD 200/206 chickens may be heading towards collagen production and fibrosis, rather than normal tissue healing. More research is needed to determine the functional activities of the immune cells recruited to the site of SILIKON 1000 injection