939 research outputs found

    Oral History Interview: B\u27Alma Epps Jones

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    This interview is one of series conducted concerning Oral Histories of African-American women who taught in West Virginia public schools. B\u27Alma Epps Jones began teaching in Washington High School in London, West Virginia in the 1930s. She gives us detailed information about her family throughout the interview (including her father who had many jobs, such as a candy -maker), Christmas in her family, her husband and her married life, social activities she and her husband participated in, the deaths of her mother and husband, and a white relative in her family. She also tells us detailed information about her education, which included a one-room school, Salem College, West Virginia State, and West Virginia University. She was a member of a sorority and also tells us about her activities during high school and teachers she knew. Her employment history is another important topic, and she gives us detailed information about her teaching career, including her teaching methods, segregation in education and the effects of desegregation in schools, coming to work at a predominantly white school (Summit Park High School), race relations at that school, her job and duties at Kelley Miller School and Summit Park High School, the PTA (Parent Teachers Association), as well as how teaching and disciplining students has become harder for teachers in recent years. She also taught Sunday School at her church. There are numerous other discussion points as well, such as: why she moved to WV; her church; brief information on childhood punishments; her social life in Tennessee (which was the state where she was born); a brief section on the Great Depression; a newspaper article that featured her; a women\u27s study club she was a member of; World War II; interracial dating; her shyness; equality in marriage; her self-perceptions; how being an African-American woman helped shape her life and discrimination she has faced in her life; and many other subjects. She ends with more information on her family and slavery.https://mds.marshall.edu/oral_history/1581/thumbnail.jp

    Paradigms lost and gained: stakeholder experiences of crisis distance learning during the Covid-19 pandemic

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    The physical distancing requirements designed to slow the contagion of COVID-19 instigated sweeping changes to the education sector. School closures in 193 countries brought significant disruption to education and to the lives of children, parents, and teachers. This study explored the experiences of school stakeholders during this period of crisis distance learning (DL). The perspectives of participants in six discrete focus groups of pupils, parents, and teachers at a private school in Dubai, United Arab Emirates, were subject to thematic analysis. Researchers identified three key themes, including ‘a need for stakeholder support’, ‘curriculum delivery implications’, and ‘educational outcomes of crisis distance learning’. Conclusions and recommendations will be of interest to researchers, teachers, school leaders, and teacher education providers

    Automatic Detection of COVID-19 Based on Short-Duration Acoustic Smartphone Speech Analysis

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    Currently, there is an increasing global need for COVID-19 screening to help reduce the rate of infection and at-risk patient workload at hospitals. Smartphone-based screening for COVID-19 along with other respiratory illnesses offers excellent potential due to its rapid-rollout remote platform, user convenience, symptom tracking, comparatively low cost, and prompt result processing timeframe. In particular, speech-based analysis embedded in smartphone app technology can measure physiological effects relevant to COVID-19 screening that are not yet digitally available at scale in the healthcare field. Using a selection of the Sonde Health COVID-19 2020 dataset, this study examines the speech of COVID-19-negative participants exhibiting mild and moderate COVID-19-like symptoms as well as that of COVID-19-positive participants with mild to moderate symptoms. Our study investigates the classification potential of acoustic features (e.g., glottal, prosodic, spectral) from short-duration speech segments (e.g., held vowel, pataka phrase, nasal phrase) for automatic COVID-19 classification using machine learning. Experimental results indicate that certain feature-task combinations can produce COVID-19 classification accuracy of up to 80% as compared with using the all-acoustic feature baseline (68%). Further, with brute-forced n-best feature selection and speech task fusion, automatic COVID-19 classification accuracy of upwards of 82–86% was achieved, depending on whether the COVID-19-negative participant had mild or moderate COVID-19-like symptom severity

    Multiscaled Cross-Correlation Dynamics in Financial Time-Series

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    The cross correlation matrix between equities comprises multiple interactions between traders with varying strategies and time horizons. In this paper, we use the Maximum Overlap Discrete Wavelet Transform to calculate correlation matrices over different timescales and then explore the eigenvalue spectrum over sliding time windows. The dynamics of the eigenvalue spectrum at different times and scales provides insight into the interactions between the numerous constituents involved. Eigenvalue dynamics are examined for both medium and high-frequency equity returns, with the associated correlation structure shown to be dependent on both time and scale. Additionally, the Epps effect is established using this multivariate method and analyzed at longer scales than previously studied. A partition of the eigenvalue time-series demonstrates, at very short scales, the emergence of negative returns when the largest eigenvalue is greatest. Finally, a portfolio optimization shows the importance of timescale information in the context of risk management

    NICMOS Imaging of the Nuclei of Arp 220

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    We report high resolution imaging of the ultraluminous infrared galaxy Arp 220 at 1.1, 1.6, and 2.22 microns with NICMOS on the HST. The diffraction-limited images at 0.1--0.2 arcsecond resolution clearly resolve both nuclei of the merging galaxy system and reveal for the first time a number of luminous star clusters in the circumnuclear envelope. The morphologies of both nuclei are strongly affected by dust obscuration, even at 2.2 microns : the primary nucleus (west) presents a crescent shape, concave to the south and the secondary (eastern) nucleus is bifurcated by a dust lane with the southern component being very reddened. In the western nucleus, the morphology of the 2.2 micron emission is most likely the result of obscuration by an opaque disk embedded within the nuclear star cluster. The morphology of the central starburst-cluster in the western nucleus is consistent with either a circumnuclear ring of star formation or a spherical cluster with the bottom half obscured by the embedded dust disk. Comparison of cm-wave radio continuum maps with the near-infrared images suggests that the radio nuclei lie in the dust disk on the west and near the highly reddened southern component of the eastern complex. The radio nuclei are separated by 0.98 arcseconds (corresponding to 364 pc at 77 Mpc) and the half-widths of the infrared nuclei are approximately 0.2-0.5 arcseconds. At least 8, unresolved infrared sources -- probably globular clusters -- are also seen in the circumnuclear envelope at radii 2-7 arcseconds . Their near-infrared colors do not significantly constrain their ages.Comment: LaTex, 15 pages with 1 gif figure and 5 postscript figures. ApJL accepte

    Financial correlations at ultra-high frequency: theoretical models and empirical estimation

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    A detailed analysis of correlation between stock returns at high frequency is compared with simple models of random walks. We focus in particular on the dependence of correlations on time scales - the so-called Epps effect. This provides a characterization of stochastic models of stock price returns which is appropriate at very high frequency.Comment: 22 pages, 8 figures, 1 table, version to appear in EPJ
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