UARK (University of Arkansas )
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The Impact of Supercritical Carbon Dioxide Processing on the Aroma and Physicochemical Properties of Soybean Flour
Soybeans are rich in protein but have limited food applications due to their undesirable volatile compounds, negatively affecting their flavor and consumer acceptance. This study aimed to extract lipids and volatile compounds from soybean flour using supercritical carbon dioxide (SC-CO2) and investigate the impact of extraction conditions on the properties of soybean flour, including particle size distribution, composition, color, and rheological and textural qualities. Similar lipid extraction yields (∼20 %) were obtained with SC-CO2 and conventional hexane extractions. The volatile compound concentration of the soybean flour was reduced after SC-CO2 extraction (0.63–1.00 µg/g) as compared to hexane extraction (1.44–1.68 µg/g). The results showed that SC-CO2-treated soybean flour showed smaller particle sizes (\u3c250 µm, ∼70 %), improved protein purity upon protein extraction, and brighter color as compared to hexane-extracted flour. Additionally, in comparison to untreated soybean flour, SEM images revealed a more disrupted and rough structure in defatted soybean flour. Overall, the presented SC-CO2 approach can improve the aroma of soybean flour while achieving similar lipid extraction yields with conventional hexane extraction, all without the use of toxic organic solvents
A Historical Assessment of the Number of Days Required to Plant the Arkansas Soybean Crop
The primary objective of this paper is to quantitatively analyze the number of acres planted per suitable fieldwork day and the total number of fieldwork days available for the complete planting of soybeans (Glycine max L.) in Arkansas. Total days to plant soybeans in each spring from 1980 to 2023 averaged about 33 days, indicating that roughly 33 days are expected, on average, from the month of April to May based on USDA-NASS weekly crop progress and condition data. Furthermore, the average soybean planted acres is estimated at 106,736 acres per day within the study period. Recently, variations in this range appear more pronounced, likely due to the significant impact of extreme spring weather conditions. However, technological advancements have enabled soybean producers to plant crops as early as the first half of March or as late as June, contributing to the increased variability observed from year to year in recent times. Furthermore, Arkansas\u27s optimal soybean planting window typically provides an average of 4.7 fieldwork days per week. These quantified estimates offer historical data on Arkansas\u27s soybean planting performance and will prove highly valuable for informing future soybean planting strategies
Economic Evaluation of Grazing Steers on Summer Annuals Sod-Seeded into Warm-Season Perennial Pasture
Objectives Sorhgum-sudangrass (SS) and cowpea (CW) can increase cattle gains when sod-seeded to mixed bermudagrass (MB); however, establishment time and cost may not be recouped by improved animal production. Additionally, valuing weight gain at varying production stages, without a market transaction, prompted an evaluation of different pricing methods. Materials and Methods Cattle gains on MB, SS, and a 50:50 mix of SS+CW (SSCW) pastures were evaluated. One pricing method linearly interpolated 10-yr-average prices across weight categories. A second, regression-based approach added corn and feeder cattle futures to weight to explain prices. The third used experimental years only. Results and Discussion Greater forage quality in annuals pastures where cattle had greater ADG (1.01 kg/ head per day for SS and SSCW vs. 0.79 kg/head per day for MB) led to different cattle gains by forage and year. In 2021 grazing days were 91, 68, and 60 d for MB, SS, and SSCW, respectively, whereas they were 95 d for MB and 92 d for SS and SSCW in 2022. Despite greater ADG with annuals, delayed planting of annuals led to numerically lesser cattle gains and lesser partial returns than MB in 2021. In 2022 drought forced a rest period in MB pastures; however, greater weight gains with annuals did not recoup costs regardless of pricing method. Conclusions and Applications Timely planting is important for increasing grazing days with annuals. With seasonal and cyclical dynamics affecting the value of weight gain, heavier ending weights were not rewarded with prices that would cover annuals establishment
Isolation of \u3ci\u3eNaegleria lustrarea\u3c/i\u3e N. Sp. (Excavata, Discoba, Heterolobosea) from the Feces of \u3ci\u3eAmbystoma annulatum\u3c/i\u3e (Ringed Salamander) in Northwest Arkansas
The salamander, Ambystoma annulatum, is considered a “species of special concern” in the state of Arkansas, USA, due to its limited geographic range, specialized habitat requirements and low population size. Although metazoan parasites have been documented in this salamander species, neither its native protists nor microbiome have yet been evaluated. This is likely due to the elusive nature and under-sampling of the animal. Here, we initiate the cataloguing of microbial associates with the identification of a new heterlobosean species, Naegleria lustrarea n. sp. (Excavata, Discoba, Heterolobosea), isolated from feces of an adult A. annulatum
Laser Doppler Velocimetry and Particle Image Velocimetry Measurements in a Wind Tunnel Model of the Jack Rabbit II Special Sonic Anemometer Study
A 1:50 scale model of the Jack Rabbit II (JR-II) Mock Urban Environment (MUE) was constructed in the wind tunnel of the University of Arkansas. Laser Doppler Velocimetry (LDV) measurements show agreement between the approach wind characteristics in the tunnel model and field test. LDV velocity measurements within the MUE wind tunnel model also agree with the anemometry results obtained in JRII Special Sonic Anemometer Study (JRII-S) conducted in 2016.
After demonstrating that the wind tunnel models the JRII-S field test with LDV measurements, Particle Image Velocimetry (PIV) experiments were conducted to provide velocity measurements that could not be obtained in the field tests. Velocity measurements in a horizontal plane parallel to the ground were made to compare to computational fluid dynamics (CFD) simulations of the JRII-S field tests found in the literature. PIV measurements taken in the wind tunnel model pointed out concerns with those simulations
“We Need to Not Fear You”: Essential Factors Identified by Sworn Officers and Civilian Staff for Implementation and Expansion of a Co-Response Program
The Fayetteville, AR, Police Department (FPD) initiated a co-response program in 2021, partnering with social workers to respond to individuals in crisis. Originally started with a University of Arkansas School of Social Work (UA) internship, the Crisis Intervention Response Team (CIRT) has grown over time. The program now includes two full-time co-response teams, two social work interns, and plans for further expansion. UA provides support for the program through continued internships, clinical supervision, and program evaluation. This article reports on one aspect of the UA program evaluation focusing on FPD employees’ perspectives on integrating social workers into their department and how those perspectives have changed over time as the program has expanded. Through semi-structured interviews and survey data collected in 2021 and 2023, this research highlights key factors contributing to the program’s successes and continued challenges. The results provide valuable insights, suggestions, and other factors to consider for similar police departments when making decisions whether to establish or expand co-response initiatives
Quantum Visual Feature Encoding Revisited
Although quantum machine learning has been introduced for a while, its applications in computer vision are still limited. This paper, therefore, revisits the quantum visual encoding strategies, the initial step in quantum machine learning. Investigating the root cause, we uncover that the existing quantum encoding design fails to ensure information preservation of the visual features after the encoding process, thus complicating the learning process of the quantum machine learning models. In particular, the problem, termed the “Quantum Information Gap” (QIG), leads to an information gap between classical and corresponding quantum features. We provide theoretical proof and practical examples with visualization for that found and underscore the significance of QIG, as it directly impacts the performance of quantum machine learning algorithms. To tackle this challenge, we introduce a simple but efficient new loss function named Quantum Information Preserving (QIP) to minimize this gap, resulting in enhanced performance of quantum machine learning algorithms. Extensive experiments validate the effectiveness of our approach, showcasing superior performance compared to current methodologies and consistently achieving state-of-the-art results in quantum modeling
Clomazone and Oxyfluorfen Combinations in a Flooded Rice System
Rice producers battle herbicide-resistant weeds worldwide while producing rice for ≥50% of the world’s population. Oxyfluorfen can provide rice producers with an alternative site of action for barnyardgrass control, as there are no documented cases of grass weeds being resistant to the herbicide in the mid-southern United States. Oxyfluorfen is anticipated to be labeled in the Roxy Rice Production System and may be sold as a clomazone/oxyfluorfen premixture; hence, experiments were conducted in 2021 and 2022 to evaluate preemergence-applied clomazone/oxyfluorfen ratios compared to clomazone alone on silt loam and clay soils. All ratios of the herbicides caused less than 7% injury to rice in two of four site-years on silt loam soils, whereas, in the two other site-years, the mixtures caused 10% to 40% rice injury at all observation timings. All combinations of the two herbicides provided at least 73% barnyardgrass control 5 wk after rice emergence (WAE) in three of the four site-years on silt loam soils. In at least two of four site-years at 1 and 3 WAE, barnyardgrass control was improved when oxyfluorfen was added to clomazone compared to clomazone alone. On clay soil, barnyardgrass control in both site-years was ≥77% at 5 WAE for all clomazone and oxyfluorfen ratios. Injury to rice ranged from 13% to 30% for all treatments containing clomazone and oxyfluorfen in one of two site-years on clay soil at all observation timings. At 7 WAE, contrasts indicated that the 1:3 ratio of clomazone to oxyfluorfen provided greater barnyardgrass control than the 1:1.5 and 1:2 ratios in one of two site-years. Based on these findings, oxyfluorfen would improve the consistency of barnyardgrass control over clomazone alone in some instances. However, there is an increased risk of injury to rice with the addition of oxyfluorfen
Oxyfluorfen-Resistant Rice Tolerance and Weed Control When Using Oxyfluorfen
Herbicide-resistant barnyardgrass and weedy rice control, without crop injury, is a challenge for rice producers in the United States. Herbicides not initially labeled for rice, such as oxyfluorfen, are now being evaluated as new tools for weed control. The ROXY® trait allows for the use of oxyfluorfen in rice for weed control preemergence and postemergence. Experiments were initiated in 2021 and 2022 to evaluate (1) the effectiveness of preemergence- and postemergence-applied oxyfluorfen on barnyardgrass and weedy rice, (2) the sensitivity of oxyfluorfen-resistant rice to oxyfluorfen as a function of application timing, and (3) the influence of soil moisture on oxyfluorfen-resistant rice sensitivity to oxyfluorfen. In the field, a rate response was observed for oxyfluorfen applied to weedy rice when averaged over application timings of 1-leaf, 2-leaf, 3-leaf, and tillering, with oxyfluorfen at 1,680 g ai ha–1 resulting in 81% and 72% control 7 d after application (DAA) in 2021 and 2022, respectively. Under greenhouse conditions, barnyardgrass and weedy rice control averaged by the rate of oxyfluorfen was ≥85 and ≥70%, respectfully, 7 DAA for the 1-, 2-, and 3-leaf rice growth stage timings. Preemergence applications of oxyfluorfen under 100% soil saturation resulted in 75% injury to oxyfluorfen-resistant rice, greater than all other soil moisture at 7 DAA. All postemergence applications of oxyfluorfen resulted in 63% to 70% injury to oxyfluorfen-resistant rice at 7 DAA, regardless of soil moisture. Barnyardgrass and weedy rice control with oxyfluorfen is achieved with timely applications; however, injury to oxyfluorfen-resistant rice is likely
Investigating the Presence of Patented In Vitro Models for Cancer-Nerve Crosstalk Methods
The purpose of this research project is to investigate the presence of patented in vitro models for perineural invasion (PNI) and tumor innervation, the two most prominent modes of cancer-nerve crosstalk that play an active role in cancer initiation and progression. PNI occurs through a positive feedback loop in which cancer cells invade passive nerves to metastasize. Tumor innervation is the process where tumor cells attract nearby nerves to the tumor microenvironment (TME) for tumor growth and metastasis. These crosstalk paths have been established for many types of cancer and result in poor patient prognosis. Recently, in vitro models have played a crucial part in understanding the molecular mechanisms behind the relationship between nerves and cancer cells in malignancies. Because our understanding of the mechanisms behind cancer-nerve crosstalk are severely underdeveloped, it is important to understand how these models help us visualize the mechanisms behind PNI and tumor innervation and how they can be improved. I will investigate patented in vitro models for perineural invasion and tumor innervation to understand how these models can be improved and translated into University of Arkansas Department of Biomedical Engineering tissue engineering projects. These results will establish a better understanding of how a cancer-nerve crosstalk in vitro model can be deemed clinically acceptable and how to apply these attributes to similar models