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    The Chicken

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    https://digitalcommons.pvamu.edu/percussion/1010/thumbnail.jp

    Invention in E Major, BWV 777

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    https://digitalcommons.pvamu.edu/seminar/1017/thumbnail.jp

    Morire?

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    https://digitalcommons.pvamu.edu/seminar/1030/thumbnail.jp

    (R2032) Modeling the Effect of Sanitation Effort on the Spread of Carrier-dependent Infectious Diseases due to Environmental Degradation

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    In this present study, an SIS model is proposed and analyzed to study the effect of sanitation effort in controlling the spread of carrier-dependent infectious disease in a human habitat due to environmental degradation. The dynamics of the model consist of six dependent variables, the susceptible population density, infective population density, carrier population density, cumulative density of environmental degradation and the density of sanitation effort applied on carrier population and degraded environment. In the modeling process, the carrier population density and sanitation effort are modeled logistically and the degradation of the environment is assumed to be directly proportional to the population in the habitat. The analysis of the model is performed by using the stability theory of differential equations and numerical simulations. The study of model shows that as the degradation of environment increases, the density of the carrier population increases which ultimately increases the infective population. Further, the result shows that by applying suitable sanitation effort on the carrier population density and on the cumulative density of environmental degradation, the carrier population density decreases and hence the infective population. Thus, it is very important to keep our environment clean by applying proper sanitation to prevent the spread of carrier-dependent infectious diseases

    Antagonistic boundaries: the professional New Woman’s retro-progress in The Odd Women

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    Staff Council Bylaws

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    An Examination Of The Utilization Of Programming For Female Delinquency Prevention In Jamaica

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    Little to no academic inquiry has examined interventions targeting girls involved in the justice system in Jamaica. This qualitative study asked: (1) How do girls in conflict with the law in Jamaica experience victimization? (2) How does the justice system respond to girl offenders who have also been victims? (3) What are the needs of girls in conflict with the law in Jamaica? (4) What programs exist specifically for girls in conflict with the law? (5) How effective have existing programs been for girls in conflict with the law, and do outcomes vary across education levels and settings (i.e., rural vs. urban)? (6) What recommendations can be made to improve the effectiveness of programming for girls in conflict with the law based on the factors related to variability in the outcome? The findings are from in-depth interviews with juvenile justice practitioners and former girls of the justice system recruited via purposive and snowball sampling. Data were manually coded, organized, and analyzed to discover concepts, themes, and patterns. The results indicated that the existing programming needs to be revised because they are not an ideal match to the needs of the girls. Despite the girls’ expressed interest in change, their limited responsiveness to current programming underscores the urgency of adapting interventions to better align with their unique circumstances and requirements. Furthermore, mental health services must be more available, relevant, and readily offered, along with effective reintegration assistance. The results present a case for gender-focused delinquency prevention efforts and policies that guide the administration of juvenile justice in Jamaica. Keywords: Jamaican girls, programming, female delinquency prevention, reintegration, feminism, victim-offender overlap, Jamaica, qualitative methods, thematic analysi

    Philosophical Tools for Educational Culture: Reconstructing Data and Assessment Practices

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    Abstract Assessment practices have come to dominate much of formalized education, especially within the United States. Currently, learning analytics (la) and educational data mining (edm) are purported by many educational companies and institutions to successfully improve learning through what are often considered as objective collection, classification, and analysis of educational data. Enthusiasm about big data in education has contributed to the naturalization of datafication within the field. Educational data is regarded as a natural resource that exists \u27out there\u27 to be mined by edm and refined by la. Once refined, it is thought to bear the truth of educational assessment that leads to successful learning outcomes. Keyword

    Commencement Convocation Exercises - May 1989

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    Cluster - Fall 1999

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