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State governments could revolutionize health-care data
In the United States, data relating to test results, medical conditions and previous treatments are scattered across different hospitals, test centres and physicians’ offices. This makes it almost impossible for clinicians to arrive at fully informed medical decisions, or to do the research that could revolutionize treatment outcomes. We propose that state governments should mandate…
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Testing the effectiveness and acceptability of online supportive supervision for mental health practitioners in humanitarian settings: a study protocol for the caring for carers project
Study design and intervention A quasi-experimental multiple-baseline design will compare repeated measurements of the same individual during an active control period to those during the intervention, eliminating the need for a control group [48]. During the active control component, participants will be provided with freely available MHPSS focused resources, collated in partnership with our stakeholders.…
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Extraterrestrial life: back story for the control experiment
CORRESPONDENCE 28 November 2023 Manuel Lerdau University of Virginia, Charlottesville, Virginia, USA. Your discussion of one of my favourite Nature papers, from 30 years ago (C. Sagan et al. Nature 365, 715–721; 1993), omitted mention of the theoretical underpinnings of the authors’ ‘control’ experiment to detect life on Earth (see Nature 622, 451–452; 2023). Access…
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A multivariate decomposition analysis of modern contraceptive utilization among married women in the emerging region of Ethiopia (2000–2019)
Abstract Ensuring universal access to family planning services is a proven strategy to improve reproductive health as well as economic development. Assessing the trend and identifying the factors for the change in modern contraceptive utilization is crucial to design effective measures, but trend analysis was not conducted previously. Thus, this study aimed to assess the…
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Meet our climate researcher
[Music plays and a split circle appears and photos of different CSIRO activities flash through in either side of the circle and then the circle morphs into the CSIRO logo] [Image changes to show text below the CSIRO logo: Future Science Case Study, Permanent Carbon Locking Technologies] [Image changes to show the CSIRO Marine Laboratories…
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This is how the world finally ends the HIV/AIDS pandemic
Nearly 30 years ago — more than a decade after HIV/AIDS was first identified — a group of scientists in the United States and France reported impressive results from a clinical trial. Pregnant women living with HIV could reduce the risk of transmitting the virus to their newborn child by around 67% if they took…
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A novel RF-CEEMD-LSTM model for predicting water pollution
Abstract Accurate water pollution prediction is an important basis for water environment prevention and control. The uncertainty of input variables and the nonstationary and nonlinear characteristics of water pollution series hinder the accuracy and reliability of water pollution prediction. This study proposed a novel water pollution prediction model (RF-CEEMD-LSTM) to improve the performance of water…
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Meet our climate researcher
[Music plays and a split circle appears and photos of different CSIRO activities flash through in either side of the circle and then the circle morphs into the CSIRO logo] [Image changes to show text below the CSIRO logo: Future Science Case Study, Permanent Carbon Locking Technologies] [Image changes to show the CSIRO Marine Laboratories…
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This is how the world finally ends the HIV/AIDS pandemic
Nearly 30 years ago — more than a decade after HIV/AIDS was first identified — a group of scientists in the United States and France reported impressive results from a clinical trial. Pregnant women living with HIV could reduce the risk of transmitting the virus to their newborn child by around 67% if they took…
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A novel RF-CEEMD-LSTM model for predicting water pollution
Abstract Accurate water pollution prediction is an important basis for water environment prevention and control. The uncertainty of input variables and the nonstationary and nonlinear characteristics of water pollution series hinder the accuracy and reliability of water pollution prediction. This study proposed a novel water pollution prediction model (RF-CEEMD-LSTM) to improve the performance of water…