531 research outputs found

    Forecasting Advective Sea Fog with the Use of Classification and Regression Tree Analyses for Kunsan Air Base

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    Advective sea fog frequently plagues Kunsan Air Base (AB), Republic of Korea, in the spring and summer seasons. It is responsible for a variety of impacts on military operations, the greatest being to aviation. To date, there are no suitable methods developed for forecasting advective sea fog at Kunsan, primarily due to a lack of understanding of sea fog formation under various synoptic situations over the Yellow Sea. This work explored the feasibility of predicting sea fog development with a 24-hour forecast lead time. Before exploratory data analysis was performed, a geographical introduction to the region was provided along with a discussion of basic elements of fog formation, the physical properties of fog droplets, and its dissipation. Examined in this work were data sets of Kunsan surface observations, upstream upper air data, sea surface temperatures over the Yellow Sea, and modeled analyses of gridded data over the Yellow Sea. A complete ten year period of record was examined for inclusion into data mining models to find predictive patterns. The data were first examined using logistic regression techniques, followed my classification and regression tree analysis (CART) for exploring possible concealed predictors. Regression revealed weak relationships between the target variable (sea fog) and upper air predictors, with stronger relationships between the target variable and sea surface temperatures. CART results determined the importance between the target variable and upstream upper air predictors, and established specific criteria to be used when forecasting target variable events. The results of the regression and CART data mining analyses are summarized as forecasting guidelines to air forecasters in predicting the evolution of sea fog events and advection over the area

    Music Therapy as a Treatment for Children with Autistic Spectrum Disorder

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    Autism Spectrum Disorder (ASD) is an increasingly prevalent disorder affecting many children in the world today. The impact of autism on a child and their family is significant. This disorder is life changing and its early detection, diagnosis, and treatment is essential for the growth and development of a child affected by ASD. There are several traditional therapies associated with the treatment of ASD in children that include: speech, occupational, applied behavior analysis therapy. Music therapy is not included in the core list of therapies, but is a viable and effective tool to reinforce the concepts taught in the traditional therapy treatments. The purpose of these therapies, including music therapy, is to improve social behaviors, increase focus and attention, increases communication attempts (vocalizations, verbalizations, gestures, and vocabulary), reduce anxiety, and improve body awareness and coordination. Through my findings during this thesis process I have found that music therapy is a viable and effective treatment for autistic children.M.S., Arts Administration -- Drexel University, 201

    COVID-19: Impact on Business Students\u27 Transition from Face-to-Face to Online Instructional Delivery

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    ABSTRACT The COVID-19 pandemic has shaken the world to its proverbial core with institutions for higher learning caught in the crosshairs. Consequently, every facet of higher education has been indelibly affected. Traditional classroom instruction immediately changed, and a nontraditional delivery method emerged inclusive of both hybrid and online instruction. This delivery method was new to many students as all instruction shifted from face-to-face to virtual. To mitigate the spread of the virus, immediate action was required and campuses had to determine the probability of closing. This was a challenge for many reasons, some students did not have the resources to attend classes virtually. Many students had housing on campus that had been paid for the entire semester and were not prepared to suddenly switch to a new way of instruction and learning. Students depended on work-study on campus and library and computer resources to facilitate their course success. Administrators and educators realized that change is the constant we live within, and understood the need for strategies that were adaptive, agile, and would continue to meet the needs of all students. This change also signaled the need for innovative, contingent, and servant leadership strategies by administrators, faculty, and staff that reduced uncertainty and promoted care and stability for the students. This research paper aims to identify and share the experiences of business students enrolled in two institutions of higher education in meeting this challenge. It will also reveal how students dealt with the sudden transition from traditional learning environments to fully online and hybrid instruction. The complexity was intensified by the need to ensure that faculty members were prepared to give instruction virtually. Many were thrust into e-learning training which by most standards is a great way to demonstrate continuous improvement efforts, a major accreditation mandate for business schools. A Likert-scale survey was administered seeking responses to the processes of curriculum delivery; impact, problems, and issues experienced to the immediate shift to online instruction. Perceptions of support from faculty, advisors, administrators, and methods utilized to establish a sense of urgency to meet the educational needs of the students during COVID 19 were also assessed. Two-hundred and seventy-four students consented to complete the survey. Survey results provide benchmark experiences and challenges that business students encountered while completing their academic semesters. The results will assist business schools in developing best practices for virtual instruction, communication, and student engagement plans and strategies for facilitating student and faculty success during current waves of the pandemic and new pandemics of the future

    The Feasibility of Deriving the Electronic Frailty Index from Australian General Practice Records

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    Purpose: Frailty is a prevalent condition in older adults. Identification of frailty using an electronic Frailty Index (eFI) has been successfully implemented across general practices in the United Kingdom. However, in Australia, the eFI remains understudied. Therefore, we aimed to (i) examine the feasibility of deriving an eFI from Australian general practice records and (ii) describe the prevalence of frailty as measured by the eFI and the prevalence with socioeconomic status and geographic remoteness. Participants and Methods: This retrospective analysis included patients (≥70 years) attending any one of >700 general practices utilizing the Australian MedicineInsight data platform, 2017–2018. A 36-item eFI was derived using standard methodology, with frailty classified as mild (scores 0.13–0.24); moderate (0.25–0.36) or severe (≥0.37). Socioeconomic status (Socio-Economic Indexes for Areas (SEIFA) index)) and geographic remoteness (Australian Statistical Geography Standard (ASGC) remoteness areas) were also examined. Results: In total, 79,251 patients (56% female) were included, mean age 80.0 years (SD 6.5); 37.4% (95% CI 37.0–37.7) were mildly frail, 16.7% (95% CI 16.4–16.9) moderately frail, 4.8% (95% CI 4.7–5.0) severely frail. Median eFI score was 0.14 (IQR 0.08 to 0.22); maximum eFI score was 0.69. Across all age groups, moderate and severe frailty was significantly more prevalent in females (P < 0.001). Frailty severity increased with increasing age (P < 0.001) and was strongly associated with socioeconomic disadvantage (P < 0.001) but not with geographic remoteness. Conclusion: Frailty was identifiable from routinely collected general practice data. Frailty was more prevalent in socioeconomically disadvantaged groups, women and older patients and existed in all levels of remoteness. Routine implementation of an eFI could inform interventions to prevent or reduce frailty in all older adults, regardless of location

    Knowledge, attitudes, and practices of Florida physicians regarding dengue before and after an educational intervention.

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    BACKGROUND: Failure to recognize and appropriately manage dengue early in the clinical course may result in late initiation of supportive treatment for severe disease. In Florida, travel-related and autochthonous dengue occur and are likely under-recognized. The objective of this study was to evaluate physician knowledge of dengue and its management before and after an educational intervention in Florida. METHODS: From 2012-13 we conducted 14 grand-rounds style lectures on dengue clinical management attended by 413 physicians, and analyzed data from the pre- and post-tests. RESULTS: Of those attending, 231 and 220 completed the pre-and post-tests, respectively. Overall, the mean pre-test score for knowledge-based questions was 74.3 and average post-test score was 94.2 %, indicating a mean increase of 19.9 % (P \u3c 0.0001, 95 % CI 17.7-22.4). Reported confidence in dengue recognition and management also increased. Non-US trained physicians and those who had treated more than ten dengue cases performed significantly better in the pre-test. Post-test scores did not differ by subgroup. CONCLUSIONS: The train-the-trainer approach with grand-rounds style presentations appear to be an effective intervention to improve knowledge of dengue among physicians

    Knowledge, attitudes, and practices of Florida physicians regarding dengue before and after an educational intervention.

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    BACKGROUND: Failure to recognize and appropriately manage dengue early in the clinical course may result in late initiation of supportive treatment for severe disease. In Florida, travel-related and autochthonous dengue occur and are likely under-recognized. The objective of this study was to evaluate physician knowledge of dengue and its management before and after an educational intervention in Florida. METHODS: From 2012-13 we conducted 14 grand-rounds style lectures on dengue clinical management attended by 413 physicians, and analyzed data from the pre- and post-tests. RESULTS: Of those attending, 231 and 220 completed the pre-and post-tests, respectively. Overall, the mean pre-test score for knowledge-based questions was 74.3 and average post-test score was 94.2 %, indicating a mean increase of 19.9 % (P \u3c 0.0001, 95 % CI 17.7-22.4). Reported confidence in dengue recognition and management also increased. Non-US trained physicians and those who had treated more than ten dengue cases performed significantly better in the pre-test. Post-test scores did not differ by subgroup. CONCLUSIONS: The train-the-trainer approach with grand-rounds style presentations appear to be an effective intervention to improve knowledge of dengue among physicians

    Further Evaluation of the Associations Between Psychopathic Traits and Symptoms of PTSD and Depression in a Nonclinical Sample

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    Examining psychopathic traits at the factor or facet level has revealed that various aspects of psychopathy may be differentially related, even in opposing directions, to important outcomes (e.g., intelligence, emotion regulation). Empirical work on relations between psychopathy and internalizing disorders, such as posttraumatic stress disorder (PTSD) and depression, has provided evidence for a positive association with antisocial traits. However, findings for the affective domain have been more equivocal. The current study (N = 732) sought to replicate past findings of the positive association of antisocial psychopathic traits with higher levels of PTSD and depressive symptoms, and to further explore associations between affective traits of psychopathy and these disorders using two measures of psychopathy. Results confirmed prior findings of a positive correlation between antisocial features and self-reported PTSD/Depression symptom severity, but they did not provide evidence for any association with affective traits. Future research using longitudinal designs is needed to begin establishing temporal ordering of the psychopathy–internalizing relationship

    Maternal fucosyltransferase 2 status affects the gut bifidobacterial communities of breastfed infants.

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    BackgroundIndividuals with inactive alleles of the fucosyltransferase 2 gene (FUT2; termed the 'secretor' gene) are common in many populations. Some members of the genus Bifidobacterium, common infant gut commensals, are known to consume 2'-fucosylated glycans found in the breast milk of secretor mothers. We investigated the effects of maternal secretor status on the developing infant microbiota with a special emphasis on bifidobacterial species abundance.ResultsOn average, bifidobacteria were established earlier and more often in infants fed by secretor mothers than in infants fed by non-secretor mothers. In secretor-fed infants, the relative abundance of the Bifidobacterium longum group was most strongly correlated with high percentages of the order Bifidobacteriales. Conversely, in non-secretor-fed infants, Bifidobacterium breve was positively correlated with Bifidobacteriales, while the B. longum group was negatively correlated. A higher percentage of bifidobacteria isolated from secretor-fed infants consumed 2'-fucosyllactose. Infant feces with high levels of bifidobacteria had lower milk oligosaccharide levels in the feces and higher amounts of lactate. Furthermore, feces containing different bifidobacterial species possessed differing amounts of oligosaccharides, suggesting differential consumption in situ.ConclusionsInfants fed by non-secretor mothers are delayed in the establishment of a bifidobacteria-laden microbiota. This delay may be due to difficulties in the infant acquiring a species of bifidobacteria able to consume the specific milk oligosaccharides delivered by the mother. This work provides mechanistic insight into how milk glycans enrich specific beneficial bacterial populations in infants and reveals clues for enhancing enrichment of bifidobacterial populations in at risk populations - such as premature infants

    Comparison of equipment used to measure shear properties in equine arena surfaces

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    The design of a novel apparatus, the Glen Withy torque tester (GWTT), for measuring horizontal shear properties in equine sport surfaces is described. Previous research has considered the effect of vertical loading on equine performance and injury but only limited discussion has concerned the grip or horizontal motion of the hoof. The horizontal support of the hoof by the surface must be sufficient to avoid excess slip without overloading the limb. The GWTT measures the torque necessary to twist an artificial hoof that is being pushed into the surface under a consistently applied vertical load. Its output was validated using a steel surface, then was used to test two sand and fibre surfaces (waxed and non-waxed) through rotations of 40–140°, and vertical loads of 157–1138 N. An Orono biomechanical surface tester (OBST) measured longitudinal shear and vertical force, whilst a traction tester measured rotational shear after being dropped onto the surfaces. A weak, but significant, linear relationship was found between rotational shear measured using the GWTT and longitudinal shear quantified using the OBST. However, only the GWTT was able to detect significant differences in shear resistance between the surfaces. Future work should continue to investigate the strain rate and non-linear load response of surfaces used in equestrian sports. Measurements should be closely tied to horse biomechanics and should include information on the maintenance condition and surface composition. Both the GWTT and the OBST are necessary to adequately characterise all the important functional properties of equine sport surfaces
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