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Le point de vue des soignants a été encore peu investigué dans le cadre des « violences obstétricales ». Nous avons interrogé des gynécologues-obstétricien.ne.s, assistant.e.s en gynécologie-obstétrique et étudiant.e.s en médecine de dernière année à l’aide d’un questionnaire en ligne. Deux cent cinquante-huit questionnaires ont été complétés et montrent que la problématique est une réalité, les médecins en sont conscients, et leur définition du phénomène rejoint celle des patientes. Une divergence existe cependant entre les points de vue théorique et pratique., info:eu-repo/semantics/published

Internet of Things (IoT) technology offers a significant potential for livestock farming, as animals and their living environments can be monitored and relevant insights can be extracted from the data gathered. As part of the IoF2020 project (Internet of Food & Farm 2020, 2017-2021, EU H2020 programme) IoT devices were tested and demonstrated in six use cases for livestock farming for meat production. The results and lessons learned give insights in how IoT devices can technically and practically be used in livestock farming and how companies can create businesses from the technologies. The use cases are part of the meat trial of the IoF2020 project and each developed IoTbased products to solve one or more specific challenges that the livestock sector faces. The products were developed in close collaboration with the end-users, who are mainly livestock farmers and meat processors, who helped to formulate requirements, provided their facilities as a testbed and gave feedback to improve the products. The use cases cover three livestock species: pigs, broilers and beef cattle. Diverse IoT solutions and products were developed, including sensors for health and welfare monitoring, environmental monitoring, location tracking and feed silo monitoring. In addition, business intelligence dashboards, transparency/traceability systems and auditing services were also developed. The use cases had installations in 64 sites (farms, slaughterhouses) in 10 different EU countries. In this chapter, we present the objectives, results, challenges and lessons learned from the use cases. We also discuss the stakeholders involved and the business models that have been developed. Feedback from end-users proved to be crucial for steering the developments in the right direction.

BACKGROUND: The majority of thyroid nodules are diagnosed using fine-needle aspiration (FNA) biopsies. The authors recently described the clinical validation of a molecular microRNA-based assay, RosettaGX Reveal, which can diagnose thyroid nodules as benign or suspicious using a single stained FNA smear. This paper describes the analytical validation of the assay. METHODS: More than 800 FNA slides were tested, including slides stained with Romanowsky-type and Papanicolaou stains. The assay was examined for the following features: intranodule concordance, effect of stain type, minimal acceptable RNA amounts, performance on low numbers of thyroid cells, effect of time since sampling, and analytical sensitivity, specificity, and reproducibility. RESULTS: The assay can be run on FNA slides for which as little as 1% of the cells are thyroid epithelial cells or from which only 5 ng of RNA have been extracted. Samples composed entirely of blood failed quality control and were not classified. Stain type did not affect performance. All slides were stored at room temperature. However, the length of time between FNA sampling and processing did not affect assay performance. There was a high level of concordance between laboratories (96%), and the concordance for slides created from the same FNA pass was 93%. CONCLUSIONS: The microRNA-based assay was robust to various physical processing conditions and to differing sample characteristics. Given the assay's performance, robustness, and use of routinely prepared FNA slides, it has the potential to provide valuable aid for physicians in the diagnosis of thyroid nodules. Cancer Cytopathol 2016;124:711–21.