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  1. 621

    Inequality in maternal delays related to maternal death at home and en route to a health facility in Ethiopia: insights from national mortality surveillance data by Neamin Tesfay, Rozina Tariku, Girmay Hailu, Haymanot Firde, Fistum Hadgu Woldeyohannes

    Published 2025-02-01
    “…Objective This study aims to quantify and identify the contributors to inequity in the maternal mortality risk index for deaths occurring at home and en route to health facilities.Design and setting Analysis of the Maternal Death Surveillance and Response data, encompassing maternal deaths reviewed in Ethiopia from 2013 to 2020.Analysis The Maternal Mortality Risk Index was computed using 14 variables grouped according to the three contributors to delay model: contributors to delay in seeking care, contributors to delay in reaching care and contributors to delay in receiving optimal care. …”
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  2. 622

    Detection of Dose Response in Chronic Doxorubicin-Mediated Cell Death with Cardiac Technetium 99m Annexin V Single-Photon Emission Computed Tomography by Kathleen L. Gabrielson, Greta S.P. Mok, Srihdar Nimmagadda, Djahida Bedja, Scott Pin, Allison Tsao, Yuchuan Wang, Dhrtti Sooryakumar, S. Jianhua Yu, Martin G. Pomper, Benjamin M.W. Tsui

    Published 2008-05-01
    “…The aim of this study was to evaluate whether technetium 99m hydrazinonicotinamide ( 99m Tc-HYNIC)-annexin V single-photon emission computed tomography (SPECT) would detect dose-dependent doxorubicin (DOX)-mediated cell death in the heart compared with functional echocardiography. …”
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    HSP90 inhibitors promote cell death by degrading Met and BCR::ABL1 in both imatinib-resistant and -sensitive chronic myeloid leukemia cells by Masanobu Tsubaki, Taira Matsuo, Rie Komori, Noriaki Nagai, Tetsushi Yamamoto, Shozo Nishida

    Published 2025-01-01
    “…In present study, we aimed to investigate whether HSP90 inhibitors promote cell death in imatinib-resistant and -sensitive CML cells. …”
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  5. 625

    Geospatial clustering and correlates of deaths during the Ebola outbreak in Liberia: a Bayesian geoadditive semiparametric analysis of nationally representative cross-sectional survey data by Fiifi Amoako Johnson, Barbara Sakyi

    Published 2022-06-01
    “…The analysis covered 11 928 (women=7854 and men=4074) respondents for whom complete data were available.Outcome measures The outcome variable was the death of a household member or relative during the Ebola outbreak in Liberia, coded 1 if the respondent reported death and 0 otherwise.Methods We applied the Bayesian geoadditive semiparametric regression to examine the extent of geospatial clustering of deaths at the district-level and community-level development and socioeconomic factors associated with the observed clustering.Results Almost a quarter (24.8%) of all respondents reported the death of a household member or relative during the Ebola outbreak. …”
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    Nietzsche, all too nietzschean by R. L. Kochnev

    Published 2018-10-01
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