The BGS candidate models for IGRF-13 with a retrospective analysis of IGRF-12 secular variation forecasts

The three candidate models submitted by the British Geological Survey for the 13th generation International Geomagnetic Reference Field are described. These DGRF and IGRF models are derived from vector and scalar magnetic field data from the European Space Agency Swarm satellites and ground observatories, covering the period 2013.9 to 2019.7. The internal field model has time dependence for degrees 1 to 15, represented by order 6 B-splines with knots at six monthly intervals. We also solve for a degree 1 external field time dependence describing annual and semi-annual signals with additional dependence on a bespoke Vector Magnetic Disturbance index. Satellite data are weighted by spatial density, along-track standard deviations, and a larger-scale noise estimator defined in terms of a measure of Local Area Vector Activity at the geographically closest magnetic observatories to the sampled datum. Forecasting of the magnetic field secular variation for 2020–2025 is by advection of the main field using steady core surface flows with steady acceleration applied. We also investigate the performance of the previous generation of candidate secular variation models, for IGRF-12, analysing the agreement of the candidates between 2015 and 2020 with the retrospective IGRF-13. We find that there is no clear distinction between the performance of mathematically and physically extrapolated forecasts in the period 2015–2020. We confirm that the methodology for the BGS IGRF-12 predictions performed well, despite observed secular accelerations that are highlighted by our analysis, and thus justify the methodology used for our IGRF-13 SV candidate

Geomagnetic Virtual Observatories: monitoring geomagnetic secular variation with the Swarm satellites

We present geomagnetic main field and secular variation time series, at 300 equal-area distributed locations and at 490 km altitude, derived from magnetic field measurements collected by the three Swarm satellites. These Geomagnetic Virtual Observatory (GVO) series provide a convenient means to globally monitor and analyze long-term variations of the geomagnetic field from low-Earth orbit. The series are obtained by robust fits of local Cartesian potential field models to along-track and East–West sums and differences of Swarm satellite data collected within a radius of 700 km of the GVO locations during either 1-monthly or 4-monthly time windows. We describe two GVO data products: (1) ‘Observed Field’ GVO time series, where all observed sources contribute to the estimated values, without any data selection or correction, and (2) ‘Core Field’ GVO time series, where additional data selection is carried out, then de-noising schemes and epoch-by-epoch spherical harmonic analysis are applied to reduce contamination by magnetospheric and ionospheric signals. Secular variation series are provided as annual differences of the Core Field GVOs. We present examples of the resulting Swarm GVO series, assessing their quality through comparisons with ground observatories and geomagnetic field models. In benchmark comparisons with six high-quality mid-to-low latitude ground observatories we find the secular variation of the Core Field GVO field intensities, calculated using annual differences, agrees to an rms of 1.8 nT/yr and 1.2 nT/yr for the 1-monthly and 4-monthly versions, respectively. Regular sampling in space and time, and the availability of data error estimates, makes the GVO series well suited for users wishing to perform data assimilation studies of core dynamics, or to study long-period magnetospheric and ionospheric signals and their induced counterparts. The Swarm GVO time series will be regularly updated, approximately every four months, allowing ready access to the latest secular variation data from the Swarm satellites

Anti-Allergic Cromones Inhibit Histamine and Eicosanoid Release from Activated Human and Murine Mast Cells by Releasing Annexin A1

PMCID: PMC3601088This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

Pre-departure Training for Healthcare Students Going Abroad: Impact on Preparedness

Background: Many medical and nursing schools offer opportunities for students to participate in global health experiences abroad, but little is known about the efficacy of pre-departure training in preparing students for these experiences. Objectives: The primary aim was to identify characteristics of pre-departure training associated with participants’ reporting a high level of preparedness for their global health experiences. Secondary objectives included identifying students’ preferred subjects of study and teaching modalities for pre-departure training. Methods: A questionnaire was distributed to all medical and nursing students at our institution from 2013 to 2015. Questions addressed prior global health experiences and pre-departure training, preferences for pre-departure training, and demographic information. Findings: Of 517 respondents, 55% reported having a prior global health experience abroad, 77% of whom felt prepared for their experience. Fifty-three percent received pre-departure training. Simply receiving pre-departure training was not associated with perceived preparedness, but pre-departure training in the following learning domains was: travel safety, personal health, clinical skills, cultural awareness, and leadership. Perceiving pre-departure training as useful was also independently associated with self-reported preparedness. Students’ preferred instruction methods included discussion, lecture, and simulation, and their most desired subjects of study were travel safety (81%), cultural skills (87%), and personal health (82%). Conclusions: Incorporating travel safety, personal health, clinical skills, cultural awareness, and/or leadership into pre-departure training may increase students’ preparedness for global health experiences. Student perceptions of the usefulness of pre-departure training is also associated with self-reported preparedness, suggesting a possible “buy-in” effect

Novel inhibitors of Mycobacterium tuberculosis GuaB2 identified by a target based high-throughput phenotypic screen

High-throughput phenotypic screens have re-emerged as screening tools in antibiotic discovery. The advent of such technologies has rapidly accelerated the identification of ‘hit’ compounds. A pre-requisite to medicinal chemistry optimisation programmes required to improve the drug-like properties of a ‘hit’ molecule is identification of its mode of action. Herein, we have combined phenotypic screening with a biased target-specific screen. The inosine monophosphate dehydrogenase (IMPDH) protein GuaB2 has been identified as a drugable target in Mycobacterium tuberculosis, however previously identified compounds lack the desired characteristics necessary for further development into lead-like molecules. This study has identified 7 new chemical series from a high-throughput resistance-based phenotypic screen using Mycobacterium bovis BCG over-expressing GuaB2. Hit compounds were identified in a single shot high-throughput screen, validated by dose response and subjected to further biochemical analysis. The compounds were also assessed using molecular docking experiments, providing a platform for their further optimisation using medicinal chemistry. This work demonstrates the versatility and potential of GuaB2 as an anti-tubercular drug target

Global Health Career Interest among Medical and Nursing Students: Survey and Analysis

BackgroundGlobal health experiences undertaken in international settings (GHEs) are becoming an increasingly prevalent aspect of health professions education and, as such, merit comprehensive analysis of the impact they have on students and host communities.ObjectiveTo assess the associations between demographic/experiential factors and the interest of health professions students in careers involving global health.MethodsA cross-sectional survey was administered online to a convenience sample of medical and nursing students at Johns Hopkins University. Questions addressed level of interest in a global health career, prior GHEs, and demographic information. Items were either Likert scale or multiple choice. Various regression analyses were performed.FindingsOf 510 respondents, 312 (61.2%) expressed interest in a global health career and 285 (55.9%) had prior GHEs. Multivariate logistic regression found female sex, age ≥27 years, household income ConclusionsSimply participating in a global health experience abroad is not significantly associated with interest in a global health career. However, sex, age, household income, and research-related GHEs are significantly associated with global health career interest. These findings may inform the development of global health programs at medical and nursing schools and can guide efforts to increase the number of health care professionals entering global health careers

Increasing dominance of large lianas in Amazonian forests

Ecological orthodoxy suggests that old-growth forests should be close to dynamic equilibrium, but this view has been challenged by recent findings that neotropical forests are accumulating carbon and biomass, possibly in response to the increasing atmospheric concentrations of carbon dioxide. However, it is unclear whether the recent increase in tree biomass has been accompanied by a shift in community composition. Such changes could reduce or enhance the carbon storage potential of old-growth forests in the long term. Here we show that non-fragmented Amazon forests are experiencing a concerted increase in the density, basal area and mean size of woody climbing plants (lianas). Over the last two decades of the twentieth century the dominance of large lianas relative to trees has increased by 1.7–4.6% a year. Lianas enhance tree mortality and suppress tree growth, so their rapid increase implies that the tropical terrestrial carbon sink may shut down sooner than current models suggest. Predictions of future tropical carbon fluxes will need to account for the changing composition and dynamics of supposedly undisturbed forests

Utilising a data capture tool to populate a cardiac rehabilitation registry: a feasibility study

Background: Clinical registries are effective for monitoring clinical practice, yet manual data collection can limit their implementation and sustainability. The objective of this study was to assess the feasibility of using a data capture tool to collect cardiac rehabilitation (CR) minimum variables from electronic hospital administration databases to populate a new CR registry in Australia.Methods: Two Victorian CR facilities participated, providing data on 42 variables including: patient socio-demographics, risk factors and co-morbidities, CR program information (e.g. number of CR sessions), process indicators (e.g. wait time) and patient outcomes (e.g. change in exercise capacity). A pre-programmed, automated data capture tool (GRHANITE™) was installed at the sites to extract data available in an electronic format from hospital sites. Formative evaluation including staff feedback was collected. Results: The GRHANITE™ tool was successfully installed at the two CR sites and data from 176 patients (median age=67 years, 76% male) were securely extracted between September – December 2017. However, only seven of the 42 requested variables were available in an appropriate electronic format. This is due to CR sites only capturing basic patient information (e.g. socio-demographics, CR appointment bookings) in hospital administrative databases. The remaining clinical information required for the CR registry were collected in formats (e.g. paper-based, scanned or Excel spreadsheet) deemed unusable for electronic data capture. Consequently, manual data entry into a purpose-built online template housed on the REDCap platform was undertaken to complement data capture. Compared to historical methods of data collection, CR staff reported that the REDCap tool reduced data entry time.Conclusions: The key benefits of a scalable, automated data capture tool like GRHANITE™ cannot be fully realised in settings with under-developed electronic health infrastructure. While this approach remains promising for creating and maintaining a registry that monitors the quality of CR provided to patients, further investment is required in the digital platforms underpinning this approach