100 research outputs found
An appraisal of screening for maternal type-specific herpes simplex virus antibodies to prevent neonatal herpes
No full textSubclinical Chorioamnionitis As a Targetable Risk Factor for Vertical Transmission of HIV-1
No full textScholar Metrics Scraper (SMS): automated retrieval of citation and author data
No full textAcademic departments, research clusters and evaluators analyze author and citation data to measure research impact and to support strategic planning. We created Scholar Metrics Scraper (SMS) to automate the retrieval of bibliometric data for a group of researchers. The project contains Jupyter notebooks that take a list of researchers as an input and exports a CSV file of citation metrics from Google Scholar (GS) to visualize the group's impact and collaboration. A series of graph outputs are also available. SMS is an open solution for automating the retrieval and visualization of citation data
Prophylactic Cesarean Delivery for the Prevention of Perinatal Human Immunodeficiency Virus Transmission: The Case for Restraint
No full textThe Impact Of Economic News On Financial Markets
No full textThis paper analyzes the impact of economic news, that is, the difference between economic announcements and what was anticipated, on financial markets. The three contributions of this paper are, first, the market expectation is derived from economic derivative prices that allow a full distribution for the market expectation to be derived. Economic derivatives data better predict financial market movements and also allow for testing whether there is information in the high moments of the distribution. Second, high frequency financial data allows us to test for the optimal window and discover how long it takes financial markets to digest and react to news. Finally, by using a U.S. and a European economic announcement and a wide range of financial markets, this paper compares announcements to show which are important for which markets. I find that high frequency financial data leads to a much bigger and more significant news announcement effect over previous studies that used end-of day data. Further, financial markets react very quickly to news. Unlike other studies that have assumed a 25-30 minute window, I have demonstrated that the announcement window is often as little as just one minute. Using the richness of the economic derivatives-based expectations data I determine when higher moments of the expectations distribution are useful in determining the announcement effect. I also show in which markets, and for which announcements, good news and bad news have asymmetric effects; and, in which markets are most responsive to which announcements. Finally, I have highlighted some of the interesting results that traders or risk managers might want to delve into in more detail.Economic Derivatives; Economic Announcements; News; Financial Markets; Market Expectations; Real-Time Financial Data
Predictors and pregnancy outcomes associated with a newborn birth weight of 4000 g or more in Lusaka, Zambia
No full textTo identify predictors and outcomes associated with a birth weight of 4000 g or more in Lusaka, Zambia
Predictors and outcomes of low birth weight in Lusaka, Zambia
No full textTo determine factors associated with low birth weight (LBW) in an urban Zambian cohort and investigate risk of adverse outcomes for LBW neonates
Association of previous severe low birth weight with adverse perinatal outcomes in a subsequent pregnancy among HIV-prevalent urban African women
No full textTo evaluate the association between severity of prior low birth weight (LBW) delivery and adverse perinatal outcomes in the subsequent delivery among an HIV-prevalent urban African population
A retrospective study of HIV, antiretroviral therapy, and pregnancy‐associated hypertension among women in Lusaka, Zambia
No full textTo investigate the association between HIV, antiretroviral therapy (ART), and pregnancy-associated hypertension (PAH) in an HIV-endemic setting
Wireless skin sensors for physiological monitoring of infants in low-income and middle-income countries
No full textGlobally, neonatal mortality remains unacceptability high. Physiological monitoring is foundational to the care of these vulnerable patients to assess neonatal cardiopulmonary status, guide medical intervention, and determine readiness for safe discharge. However, most existing physiological monitoring systems require multiple electrodes and sensors, which are linked to wires tethered to wall-mounted display units, to adhere to the skin. For neonates, these systems can cause skin injury, prevent kangaroo mother care, and complicate basic clinical care. Novel, wireless, and biointegrated sensors provide opportunities to enhance monitoring capabilities, reduce iatrogenic injuries, and promote family-centric care. Early validation data have shown performance equivalent to (and sometimes exceeding) standard-of-care monitoring systems in premature neonates cared for in high-income countries. The reusable nature of these sensors and compatibility with low-cost mobile phones have the future potential to enable substantially lower monitoring costs compared with existing systems. Deployment at scale, in low-income countries, holds the promise of substantial improvements in neonatal outcomes.ChemE/Product and Process Engineerin
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