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• Drivers on slip roads want vehicles on the target lane to decelerate. • Drivers in target lanes rate the behaviour of vehicles on slip roads ambiguously. • AVs are rated identically or even more positively than MVs with identical behaviour. • No different safety distance is kept from automated vehicles. • Results show that cross-border traffic between Germany and UK with AVs is feasible. • Intercultural aspects must still be considered in the development of AVs. To ensure safe and uninterrupted traffic flow, (semi-)automated vehicles must be capable of providing comprehensible and agreeable implicit communication cues to human drivers. This driving simulator study investigated the assessment of implicit communication at a motorway slip road through longitudinal driving dynamics (acceleration, deceleration, and maintaining speed). The second aim of the study was to determine whether expectations of automated vehicles are different from those of human drivers. And thirdly, we investigated whether these findings are country-specific or can be (partially) generalised to other countries. The perception of three means of communication in connection with the presence of a labelling as an automated vehicle (eHMI) was examined in two samples in Germany and England. 27 participants drove from a slip road onto the motorway and interacted with another vehicle. After a stretch on the motorway, they passed a second slip road on which there was a vehicle merging onto the participants lane. This was repeated six times to test all variables. After each situation, the perceived cooperativity and criticality was recorded, as well as the time headway (THW) to the other vehicle. This paper presents the findings from the UK sample and compares them with the German results, which were previously published. Results show, that when the cooperating vehicles are on the slip road, participants from both countries prefer this vehicle to decelerate. However, when participants themselves are on the slip road, expectations for vehicles on the target lane are ambiguous in the UK sample. Except for one aspect (perceived cooperativity of decelerating vehicles on the slip road), the perception of automated vehicles is similar to those of manual drivers. Also, UK participants do not maintain a different safety distance from these vehicles, while this is the case in the German sample. This paper contributes valuable insights into the cross-cultural evaluation of driving dynamics, shedding light on implications for the development and acceptance of automated vehicles. [ABSTRACT FROM AUTHOR]

Using long panels of industry-specific offshoring information and subjectively reported well-being datasets mainly from Germany, which is also supported by datasets from the UK and Australia, this paper aims to investigate the relationship between offshoring and workers' subjective well-being in the source country. We employ panel data fixed-effects models with time-variant personality measures and industry-specific measures to alleviate the bias stemming from the non-random sorting of individuals in industries. Our findings suggest that offshoring negatively relates to workers' subjective well-being. The result is unexceptionally consistent across Germany, the UK, and Australia, and the effect is larger in business services and among high-skilled workers. We extensively discuss how contextual "fear-factors" prevailing in the source countries interact with the angst generated by the negative framing of offshoring. To single out such angst, we first show that objective and subjective job security concerns, job characteristics, and labor market conditions only marginally relate to the well-being effect of offshoring. Then, we investigate how the effect of offshoring on well-being is amplified by a larger set of contextual factors pertaining to temporary economic shocks, negative narratives about offshoring during electoral cycles, partisan political preferences, and high immigration rates. Finally, we show that a recent skill upgrade significantly diminishes the negative effect of offshoring on well-being. [ABSTRACT FROM AUTHOR]

Interactions in the healthcare system today involve an important new set of actors: evaluative health platforms (EHPs). These platforms are not neutral intermediaries, but active moderators of how patients express opinions, choose providers, and consume health-related information. This paper adds to our understanding of the varied and evolving commercial interests of EHPs and the implications these have for patient voice. We analyze 71 platforms in the USA, UK, and Germany and identify five ideal types: subscribers, analyzers, advertisers, regulators, and scammers. Each platform type enacts a unique competitive strategy through an evaluative infrastructure which constrains but also generates possibilities for patient voice. Based on our typology, we develop three contributions. First, we nuance universalizing claims about the consequences of platform capitalism by specifying the diverse strategies underpinning competition between EHPs in different countries, and showing how each strategy leads evaluative infrastructures to develop in ways that impact patient voice. Second, we show how patients can navigate the challenges of a complex EHP space by exercising their ability to choose between platforms. Finally, we outline the conditions platforms need to fulfil to become empowering. Overall, this study highlights the varied and complex relationship between platform business models and user voice, which exists not only in healthcare, but also in many other fields. • Typology of evaluative health platforms (EHPs) in the US, the UK, and Germany. • EHP business models and content moderation techniques vary considerably. • EHPs have a wide range of implications for patient voice. • More transparency and competition can help platforms increase patient empowerment. [ABSTRACT FROM AUTHOR]

Over the last decades, ovarian cancer mortality in Europe has been decreasing, but disparities in trends were observed. In this paper, we analysed ovarian cancer mortality trends in Europe over the period 1990–2020 and predicted the number of deaths and rates by 2025. We extracted population and death certification data from ovarian cancer in women for 31 European countries, between 1990 and 2020 from the World Health Organization database. We computed age-standardised mortality rates (ASMR) per 100,000 women-years, based on the world standard population. We also obtained predictions for 2025 using a joinpoint regression model and calculated the number of avoided deaths over the period 1994–2025. Over the observed period, mortality from ovarian cancer showed a favourable pattern in most countries. In the EU-27, rates declined by 5.9% from 2010–2014 to 2015–2019, reaching an ASMR of 4.66/100,000. During the same period, the decline in ovarian cancer mortality was more pronounced in the EU-14 countries (−7.0%) compared to Transitional countries (−2.1%). Declines were also observed in the United Kingdom, to reach an ASMR of 5.29. Decreases in mortality from ovarian cancer are predicted until 2025, to 4.17/100,000 for the EU-27. Favourable trends in ovarian cancer mortality are expected to persist in Europe and can be mainly attributed to the increased use of oral contraceptives in subsequent generations of European women. Decreased use of menopausal Hormone Replacement Therapy and improved diagnosis and management may also have played a role. • Ovarian cancer mortality decreased over the last decade in most European countries. • Favourable trends will continue in the next 5 years. • Less favourable epidemiological situation was observed in Transitional countries. • The largest decrease of mortality in 2025 is predicted to be in Germany. • Until 2025 nearly 131,000 deaths from ovarian cancer would be avoided in EU. [ABSTRACT FROM AUTHOR]

Socioeconomic inequalities in childhood Body Mass Index (BMI) are becoming increasingly more pronounced across the world. Although countries differ in the direction and strength of these inequalities, cross-national comparative research on this topic is rare. This paper draws on harmonized longitudinal cohort data from four wealthy countries—Germany, the Netherlands, the United Kingdom (UK), and the United States (US)—to 1) map cross-country differences in the magnitude of socioeconomic inequalities in childhood BMI, and 2) to examine cross-country differences in the role of three energy-balance-related behaviors—physical activity, screen time, and breakfast consumption—in explaining these inequalities. Children were aged 5–7 at our first timepoint and were followed up at age 8–11. We used data from the German National Educational Panel Study, the Dutch Generation R study, the UK Millennium Cohort Study and the US Early Childhood Longitudinal-Kindergarten Study. All countries revealed significant inequalities in childhood BMI. The US stood out in having the largest inequalities. Overall, inequalities between children with low versus medium educated parents were smaller than those between children with high versus medium educated parents. The role of energy-balance-related behaviors in explaining inequalities in BMI was surprisingly consistent. Across countries, physical activity did not, while screen time and breakfast consumption did play a role. The only exception was that breakfast consumption did not play a role in the US. Cross-country differences emerged in the relative contribution of each behavior in explaining inequalities in BMI: Breakfast consumption was most important in the UK, screen time explained most in Germany and the US, and breakfast consumption and screen time were equally important in the Netherlands. Our findings suggest that what constitutes the most effective policy intervention differs across countries and that these should target both children from medium as well as low educated families. • All countries showed substantial socioeconomic inequalities in childhood BMI. • In all countries, inequalities in BMI steepen over course of primary school. • Protective factors among the most advantaged seem to mainly drive inequalities. • Across most countries, underlying mechanisms for inequalities in BMI are similar. • The relative contribution of each mechanism to BMI inequalities differs per country. [ABSTRACT FROM AUTHOR]