5,335 research outputs found

    Sexual and Reproductive Health in Rwanda

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    KEY MESSAGES Empowerment (women, youth, communities) Inclusion (age + gender) Prevention/Early Detection PROGRAM RECOMMENDATIONS Partner with Rwandan medical students to improve program delivery Communicate monthly with local leaders Partner with Community Health Center FUTURE INTERVENTIONS Partner with Rwandan medical students to improve program delivery Communicate monthly with local leaders Partner with Community Health Centerhttps://jdc.jefferson.edu/cwicposters/1026/thumbnail.jp

    The Total Acquisition Number of the Randomly Weighted Path

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    There exists a significant body of work on determining the acquisition number at(G)a_t(G) of various graphs when the vertices of those graphs are each initially assigned a unit weight. We determine properties of the acquisition number of the path, star, complete, complete bipartite, cycle, and wheel graphs for variations on this initial weighting scheme, with the majority of our work focusing on the expected acquisition number of randomly weighted graphs. In particular, we bound the expected acquisition number E(at(Pn))E(a_t(P_n)) of the nn-path when nn distinguishable "units" of integral weight, or chips, are randomly distributed across its vertices between 0.242n0.242n and 0.375n0.375n. With computer support, we improve it by showing that E(at(Pn))E(a_t(P_n)) lies between 0.29523n0.29523n and 0.29576n0.29576n. We then use subadditivity to show that the limiting ratio limE(at(Pn))/n\lim E(a_t(P_n))/n exists, and simulations reveal more exactly what the limiting value equals. The Hoeffding-Azuma inequality is used to prove that the acquisition number is tightly concentrated around its expected value. Additionally, in a different context, we offer a non-optimal acquisition protocol algorithm for the randomly weighted path and exactly compute the expected size of the resultant residual set.Comment: 19 page

    JeffHEALTH: Helping East Africa Link to Health

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    JeffHEALTH-Helping East Africa Link to Health is a student-run organization at Thomas Jefferson University dedicated to improving basic medical education and quality of life in Rwanda, which was devastated in 1994 by civil war and genocide. Working in partnership with the Rwanda Village Concept Project, a student organization at the National University of Rwanda, JeffHEALTH seeks to implement sustainable health initiatives in our partner villages. Graduate students from Thomas Jefferson University travel to Rwanda where we taught Community Health Workers from the Villages of Akarambi and Ruli the following topics: Nutrition and Vitamin Deficiencies, Family Planning, Prenatal care, HIV, Sexually Transmitted Illnesses and Hepatitis, Breast and Cervical Cancer, Diabetes, and Fistulas. We also taught two programs to children of the villages (Oral Hygiene and Soil Transmitted Helminths) and talked with young adults about Circumcision and HIV Prevention and Sex Education.https://jdc.jefferson.edu/cwicposters/1018/thumbnail.jp

    Native American Representation: What the Future Holds

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    New Tricks for an Old Dog: Deterring the Vote Through Confusion in Felon Disenfranchisement

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    Felon disenfranchisement laws do not just disenfranchise. They also confuse. By imposing heavy penalties for failing to correctly navigate complex provisions, these statutes confuse eligible voters and discourage them from exercising their right to vote. In this way, felon disenfranchisement laws resemble modern voter suppression laws: they deter eligible voters from voting. Modest reforms can and should be implemented to affirmatively inform formerly incarcerated individuals of their restored voting rights
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