Feasibility of using teleradiology to improve tuberculosis screening and case management in a district hospital in Malawi.

Malawi has one of the world's highest rates of human immunodeficiency virus (HIV) infection (10.6%), and southern Malawi, where Thyolo district is located, bears the highest burden in the country (14.5%). Tuberculosis, common among HIV-infected people, requires radiologic diagnosis, yet Malawi has no radiologists in public service. This hinders rapid and accurate diagnosis and increases morbidity and mortality

A distantly supervised dataset for automated data extraction from diagnostic studies

International audienceSystematic reviews are important in evidencebased medicine, but are expensive to produce.Automating or semi-automating the data extractionof index test, target condition, and referencestandard from articles has the potentialto decrease the cost of conducting systematicreviews of diagnostic test accuracy, but relevanttraining data is not available. We create adistantly supervised dataset of approximately90,000 sentences, and let two experts manuallyannotate a small subset of around 1,000sentences for evaluation. We evaluate the performanceof BioBERT and logistic regressionfor ranking the sentences, and compare theperformance for distant and direct supervision.Our results suggest that distant supervision canwork as well as, or better than direct supervisionon this problem, and that distantly trainedmodels can perform as well as, or better thanhuman annotators

Evaluating integrated impacts of low-emission transitions in the livestock sector

This paper provides the results of a combined qualitative and quantitative assessment of key impacts for two low-emission transition pathways for the Dutch livestock sector. These impacts or side-effects can be positive or negative. Both pathways were designed to meet a sector specific methane emission reduction target of 33 % in 2030 (relative to 2005). The qualitative assessment with stakeholders resulted in developing off-model quantifications to better reflect expected changes in system dynamics and development of more realistic transition pathways used for macro-econometric (E3ME) and atmospheric (TM5-FASST) modelling. We found that each low-emission transition pathway has a unique footprint of positive and negative impacts. This footprint is largely shaped by the combination of existing and new technologies, infrastructure used, and practices deployed. We consider the analysis and results relevant for climate policy and governance processes where there is a need to develop transition pathways that are optimised to meet different sustainable development goals. © 2019 The Author(s

De toekomst van hout in de biobased economy

De laatste jaren is de biobased economy sterk gegroeid door allerlei activiteiten, variërend van fundamenteel onderzoek naar nieuwe biobased toepassingen, tot het op commerciële schaal vervaardigen van biobased producten. Welke kansen biedt dit voor hout en houtige biomassa en wat zijn de verwachte effecten op de houtmarkt

The importance of stakeholders in scoping risk assessments—Lessons from low-carbon transitions

Identifying the risks that could impact a low-carbon transition is a prerequisite to assessing and managing these risks. We systematically characterise risks associated with decarbonisation pathways in fifteen case studies conducted in twelve countries around the world. We find that stakeholders from business, government, NGOs, and others supplied some 40 % of these risk inputs, significantly widening the scope of risks considered by academics and experts. Overall, experts and academics consider more economic risks and assess these with quantitative methods and models, while other stakeholders consider political risks more. To avoid losing sight of risks that cannot be easily quantified and modelled, including some economic risks, impact assessment modelling should be complemented with qualitative research and active stakeholder engagement. A systematic risk elicitation facilitates communication with stakeholders, enables better risk mitigation, and increases the chance of a sustainable transition