Available data are insufficient and inconsistent, but increasing focus on adolescent wellbeing provides the impetus to advance measurement, argue
Holly Newby and colleagues
We report a Nuclear Spectroscopic Telescope Array (NuSTAR) observation of a solar microflare, SOL2015-09-01T04. Although it was too faint to be observed by the GOES X-ray Sensor, we estimate the ...event to be an A0.1 class flare in brightness. This microflare, with only ∼5 counts s−1 detector−1 observed by the Reuven Ramaty High Energy Solar Spectroscopic Imager (RHESSI), is fainter than any hard X-ray (HXR) flare in the existing literature. The microflare occurred during a solar pointing by the highly sensitive NuSTAR astrophysical observatory, which used its direct focusing optics to produce detailed HXR microflare spectra and images. The microflare exhibits HXR properties commonly observed in larger flares, including a fast rise and more gradual decay, earlier peak time with higher energy, spatial dimensions similar to the RHESSI microflares, and a high-energy excess beyond an isothermal spectral component during the impulsive phase. The microflare is small in emission measure, temperature, and energy, though not in physical size; observations are consistent with an origin via the interaction of at least two magnetic loops. We estimate the increase in thermal energy at the time of the microflare to be 2.4 × 1027 erg. The observation suggests that flares do indeed scale down to extremely small energies and retain what we customarily think of as "flare-like" properties.
Intervention coverage—the proportion of the population with a health-care need who receive care—does not account for intervention quality and potentially overestimates health benefits of services ...provided to populations. Effective coverage introduces the dimension of quality of care to the measurement of intervention coverage. Many definitions and methodological approaches to measuring effective coverage have been developed, resulting in confusion over definition, calculation, interpretation, and monitoring of these measures. To develop a consensus on the definition and measurement of effective coverage for maternal, newborn, child, and adolescent health and nutrition (MNCAHN), WHO and UNICEF convened a group of experts, the Effective Coverage Think Tank Group, to make recommendations for standardising the definition of effective coverage, measurement approaches for effective coverage, indicators of effective coverage in MNCAHN, and to develop future effective coverage research priorities. Via a series of consultations, the group recommended that effective coverage be defined as the proportion of a population in need of a service that resulted in a positive health outcome from the service. The proposed effective coverage measures and care cascade steps can be applied to further develop effective coverage measures across a broad range of MNCAHN services. Furthermore, advances in measurement of effective coverage could improve monitoring efforts towards the achievement of universal health coverage.
NuSTAR is a highly sensitive focusing hard X-ray (HXR) telescope and has observed several small microflares in its initial solar pointings. In this paper, we present the first joint observation of a ...microflare with NuSTAR and Hinode/XRT on 2015 April 29 at ∼11:29 UT. This microflare shows the heating of material to several million Kelvin, observed in soft X-rays with Hinode/XRT, and was faintly visible in the extreme ultraviolet with SDO/AIA. For three of the four NuSTAR observations of this region (pre-flare, decay, and post-flare phases), the spectrum is well fitted by a single thermal model of 3.2-3.5 MK, but the spectrum during the impulsive phase shows additional emission up to 10 MK, emission equivalent to the A0.1 GOES class. We recover the differential emission measure (DEM) using SDO/AIA, Hinode/XRT, and NuSTAR, giving unprecedented coverage in temperature. We find that the pre-flare DEM peaks at ∼3 MK and falls off sharply by 5 MK; but during the microflare's impulsive phase, the emission above 3 MK is brighter and extends to 10 MK, giving a heating rate of about erg s−1. As the NuSTAR spectrum is purely thermal, we determined upper limits on the possible non-thermal bremsstrahlung emission. We find that for the accelerated electrons to be the source of heating, a power-law spectrum of with a low-energy cutoff keV is required. In summary, this first NuSTAR microflare strongly resembles much more powerful flares.
To assess the relevance of the Sustainable Development Goals (SDGs) framework for adolescent health measurement, both in terms of age disaggregation and different health domains captured, and how the ...adolescent health indicators recommended by the Global Action for Measurement of Adolescent Health (GAMA) can complement the SDG framework.
We conducted a desk review to systematically map all 248 SDG indicators using the UN metadata repository in three steps: 1) age-related mandates for SDG reporting; 2) linkages between the SDG indicators and priority areas for adolescent health measurement; 3) comparison between the GAMA indicators and the SDG framework.
Of the 248 SDG indicators, 35 (14%) targeted an age range overlapping with adolescence (10–19 years) and 33 (13%) called for age disaggregation. Only one indicator (3.7.2 “adolescent birth rate”) covered the entire 10–19 age range. Almost half (41%) of the SDG indicators were directly related to adolescent health, but only 33 of those (13% of all SDG indicators) overlapped with the ages 10–19, and 15 (6% of all SDG indicators) explicitly mandated age disaggregation. Among the 47 GAMA indicators, five corresponded to existing SDG indicators, and eight were adolescent-specific age adaptations. Several GAMA indicators shed light on aspects not tracked in the SDG framework, such as obesity, mental health, physical activity, and bullying among 10–19-year-olds.
Adolescent health cannot be monitored comprehensively with the SDG framework alone. The GAMA indicators complement this framework via age-disaggregated adaptations and by tracking aspects of adolescent health currently absent from the SDGs.