from new space to big space how commercial space dream is becoming a reality

Abstract New space is a misleading expression. Many new trends steer the evolution of space activities. Development of commercial space, with start-ups and space ventures, is one of the most visible trends in space. Stimulated by the first initiatives related to space tourism, access to space and the growing use of small satellites, space activities have attracted new entrepreneurs, both start-ups and big web actors with substantial investment capacity. This revolution started in the Silicon Valley and spread worldwide. Start-ups have attracted around $21.8 billion of investment from 2000 to 2018. It is far below the annual institutional budgets but the pace gained momentum since 2006 and specially 2012. Between teenage crisis and age of reason, New space is now old: the first start-ups shall confirm their promises, while new players pop up and try to find their way. It shakes the legacy players but they demonstrate resilience and adaptation capacity. It is now the right time to take stock of the first lessons learnt. Start-ups disrupt the established industry? Instead of a simplistic shortcut, this paper reports an "organisational ecology" study. With a deliberate industrial viewpoint, its ambition is to help understanding complex evolutions in the space ecosystem. The first part of the paper introduces the current ecosystem, its actors, the key trends and the main types of activities. Through facts and figures on technology, investments and markets, the second part reviews how "new space" trends is preparing the advent of big space. The third part summarises lessons from other industries and typical disruption scenarios that could affect space activities. The drivers of New space are discussed in section four. The last part is a foresight exercise, discussing possible evolutions and impacts, threats and opportunities. The decisive role of institutional actors and the « new New space » with more and more space-faring nations is also highlighted. Something big is happening in space. While it is too early to depict the new landscape, this study shows that the future picture will not be black and white but more colourful. The size and the age of the company are less important than agility, mindset, ability to manage risks and to cooperate. A big vision for the future, from entrepreneurs or from nations, is also needed

Explaining the amount and consistency of medical care and self-management support in asthma : a survey of primary care providers in France and the United Kingdom

Copyright © 2018. Published by Elsevier Inc.Peer reviewedPostprin

Measuring medication adherence in asthma : Development of a novel self-report tool

Funding: This work was supported by European Community’s 7th Framework (FP7/2007-2013); Seventh Framework Programme [HEALTH-F5-2011-282593].Peer reviewedPublisher PD

Contribution of perceived loneliness to suicidal thoughts among French university students during the COVID-19 pandemic

Restrictive measures during the COVID-19 epidemic have led to increased levels of loneliness, especially among university students, although the influence on suicidal thoughts remains unclear. In this cross-sectional study of 1913 French university students, those with the highest level of loneliness had a fourfold increased risk of suicidal thoughts. Perceived loneliness should be incorporated into suicide risk assessment, and assistance in coping with loneliness should be considered as a means of reducing suicidal risk in vulnerable groups, like university students.Epidémie à Coronavirus : Etude de L'Impact et des Profils à risque Suicidaire en population EtudiantePreparedness of health systems to reduce mental health and psychosocial concerns resulting from the COVID-19 pandemi

J Med Internet Res

BACKGROUND: The use of the internet to look for information about vaccines has skyrocketed in the last years, especially with the COVID-19 pandemic. Digital vaccine literacy (DVL) refers to understanding, trust, appraisal, and application of vaccine-related information online. OBJECTIVE: This study aims to develop a tool measuring DVL and assess its psychometric properties. METHODS: A 7-item online questionnaire was administered to 848 French adults. Different psychometric analyses were performed, including descriptive statistics, exploratory factor analysis, confirmatory factor analysis, and convergent and discriminant validity. RESULTS: We developed the 7-item DVL scale composed of 3 factors (understanding and trust official information; understanding and trust information in social media; and appraisal of vaccine information online in terms of evaluation of the information and its application for decision making). The mean DVL score of the baseline sample of 848 participants was 19.5 (SD 2.8) with a range of 7-28. The median score was 20. Scores were significantly different by gender (P=.24), age (P=.03), studying or working in the field of health (P=.01), and receiving regular seasonal flu shots (P=.01). CONCLUSIONS: The DVL tool showed good psychometric proprieties, resulting in a promising measure of DVL

Mental health condition of college students compared to non-students during COVID-19 lockdown: the CONFINS study

OBJECTIVES: To estimate the effect of student status on mental health condition during COVID-19 general lockdown in France. DESIGN: Cross-sectional analysis comparing students and non-students recruited in the same study. SETTING: Participants of the web-based CONFINS study implemented during the general lockdown in France in spring 2020. PARTICIPANTS: 2260 participants (78% women) including 1335 students (59%). PRIMARY AND SECONDARY OUTCOME MEASURES: Through an online questionnaire, participants declared if they have experienced suicidal thoughts, coded their perceived stress on a 10-points scale and completed validated mental health scales (Patient Health Questionnaire-9 for depressive symptoms, Generalised Anxiety Disorder-7 for anxiety symptoms) during the last 7 days. The effect of college student status on each mental health condition was estimated using multivariate logistic regression analyses. Stratified models for students and non-students were performed to identify population-specific factors. RESULTS: Student status was associated with a higher frequency of depressive symptoms (adjusted OR (aOR)=1.58; 95% CI 1.17 to 2.14), anxiety symptoms (aOR=1.51; 95% CI 1.10 to 2.07), perceived stress (n=1919, aOR=1.70, 95% CI 1.26 to 2.29) and suicidal thoughts (n=1919, aOR=1.57, 95% CI 0.97 to 2.53). Lockdown conditions that could be potentially aggravating on mental health like isolation had a higher impact on students than on non-students. CONCLUSIONS: College students were at higher risk of mental health disturbances during lockdown than non-students, even after taking into account several potential confounding factors. A close follow-up and monitoring of students' mental health status is warranted during lockdown periods in this vulnerable population

VULNERABILITE A L'ABUS DE DROGUES

RENNES1-BU Santé (352382103) / SudocSudocFranceF

Intérêt de l'IRM dans la réévaluation post-opératoire des coarctations aortiques chez l'enfant (étude prospective à propos de 29 cas)

TOURS-BU Médecine (372612103) / SudocPARIS-BIUM (751062103) / SudocSudocFranceF

A repeated cross-sectional analysis assessing mental health conditions of adults as per student status during key periods of the COVID-19 epidemic in France

Previous studies have shown the negative impact of the COVID-19 epidemic on students’ mental health. It is, however, uncertain whether students are really at higher risk of mental health disturbances than non-students and if they are differentially impacted by lockdown periods over time. The objective of our study was to compare the frequency of depressive symptoms, anxiety, and suicidal thoughts in students and non-students enrolled in the same study in France and during the same key periods of the COVID-19 epidemic. Using a repeated cross-sectional design, we collected data from a sample of 3783 participants in the CONFINS study during three recruitment waves between March 2020 and January 2021. Multivariate logistic regression models, adjusted for potential confounding factors, showed that students were more likely to have high scores of depressive symptoms and anxiety more frequently than non-students. These differences were particularly strong during the first (depressive symptoms: adjusted odds ratio aOR 1.59, 95% CI 1.22–2.08; anxiety: aOR 1.63, 95% CI 1.22–2.18) and second lockdowns (depressive symptoms: aOR 1.80, 95% CI 1.04–3.12; anxiety: aOR 2.25, 95% CI 1.24–4.10). These findings suggest that the restrictive measures—lockdown and curfew—have an alarmingly stronger negative impact on students than on non-students and underline the frailty of students’ mental health and the need to pay greater attention to this population in this epidemic-related context