Spatial variation in habitat riskiness has a major influence on the predator–prey space race. However, the outcome of this race can be modulated if prey shares enemies with fellow prey (i.e., another prey species). Sharing of natural enemies may result in apparent competition, and its implications for prey space use remain poorly studied. Our objective was to test how prey species spend time among habitats that differ in riskiness, and how shared predation modulates the space use by prey species. We studied a one‐predator, two‐prey system in a coastal dune landscape in the Netherlands with the European hare (Lepus europaeus) and European rabbit (Oryctolagus cuniculus) as sympatric prey species and red fox (Vulpes vulpes) as their main predator. The fine‐scale space use by each species was quantified using camera traps. We quantified residence time as an index of space use. Hares and rabbits spent time differently among habitats that differ in riskiness. Space use by predators and habitat riskiness affected space use by hares more strongly than space use by rabbits. Residence time of hare was shorter in habitats in which the predator was efficient in searching or capturing prey species. However, hares spent more time in edge habitat when foxes were present, even though foxes are considered ambush predators. Shared predation affected the predator–prey space race for hares positively, and more strongly than the predator–prey space race for rabbits, which were not affected. Shared predation reversed the predator–prey space race between foxes and hares, whereas shared predation possibly also released a negative association and promoted a positive association between our two sympatric prey species. Habitat riskiness, species presence, and prey species’ escape mode and foraging mode (i.e., central‐place vs. noncentral‐place forager) affected the prey space race under shared predation.
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As the two prime examples of sport light, running and walking have become very popular sports activities in the past decades. There are references in the literature of similarities between both sports, however these parallels have never been studied. In addition, the current digitalisation of society can have important influences on the further diversification of profiles. Data of a large-scale population survey among runners and walkers (n = 4913) in Flanders (Belgium) were used to study their sociodemographic, sports related and attitudinal characteristics, and wearable usage. The results showed that walkers are more often female, older, lower educated, and less often use wearables. To predict wearable usage, sports-related and attitudinal characteristics are important among runners but not among walkers. Motivational variables to use wearables are important to predict wearable usage among both runners and walkers. Additionally, whether or not the runner or walker registers the heart rate is the most important predictor. The present study highlights similarities and differences between runners and walkers. By adding attitudinal characteristics and including walkers this article provides new insights to the literature, which can be used by policymakers and professionals in the field of sport, exercise and health, and technology developers to shape their services accordingly.
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Introduction Coastal locations contribute significantly to global drowning, with surfers frequently conducting rescues. This study explored the characteristics of surfers as bystander rescuers in Europe. Methods A cross-sectional online survey collected demographics (age, sex, geographical location), surfing experience, ability, lifesaving and cardiopulmonary resuscitation (CPR) training, information seeking behaviors and previous performance of a rescue. Analyses comprised descriptive frequencies, binomial logistic regression with adjusted odds ratio (AOR) (95% confidence interval [CI]) and chi-squares (p < .05). Results Europe-dwelling respondents totaled 1705 (76% male; 43% 25–34 years). Thirty-nine percent (39.2%; n = 668) had previously performed a rescue. Likelihood of having conducted a rescue significantly increased with 6 or more years of surfing experience (6–10 years [AOR = 1.96; 95%CI: 1.20–3.22]; 11–15 years [AOR = 3.26; 95%CI: 1.56–6.79]; 16 years or more [AOR = 4.27; 95%CI: 2.00–9.11]) when compared to surfers with <1 year experience. Expert/professional ability surfers were 10.89 times (95%CI: 4.72–25.15) more likely to have conducted a rescue than novice/beginners. Respondents who had received both a certified lifeguard and CPR course were significantly more likely to have conducted a rescue (AOR = 3.34; 95%CI: 2.43–4.60). Conclusion Surfers who had previously conducted rescues commonly had more years of experience, higher self-rated surf ability and greater likelihood of having received certified training. However, not all surfers who have performed rescues had received training. Findings suggest surfers should receive rescue and CPR training before they start surfing at locations without trained supervision and refresh training regularly. Surfers are amenable to injury prevention information, especially online and via apps.
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The aim of this research was to study the clinical characteristics and mortality and disability outcomes of patients who present distinct risk profiles for functional decline at admission. A multicenter, prospective cohort study was conducted between 2006 and 2009 in three hospitals in the Netherlands in consecutive patients of 65 years and over, acutely admitted and hospitalized for at least 48 hours. Nineteen geriatric conditions were assessed at hospital admission, and mortality and functional decline were assessed until twelve months after admission. Patients were divided into risk categories for functional decline (low, intermediate or high risk) according to the Identification of Seniors at Risk-Hospitalized Patients.
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Machine learning models have proven to be reliable methods in classification tasks. However, little research has been done on classifying dwelling characteristics based on smart meter & weather data before. Gaining insights into dwelling characteristics can be helpful to create/improve the policies for creating new dwellings at NZEB standard. This paper compares the different machine learning algorithms and the methods used to correctly implement the models. These methods include the data pre-processing, model validation and evaluation. Smart meter data was provided by Groene Mient, which was used to train several machine learning algorithms. The models that were generated by the algorithms were compared on their performance. The results showed that Recurrent Neural Network (RNN) 2performed the best with 96% of accuracy. Cross Validation was used to validate the models, where 80% of the data was used for training purposes and 20% was used for testing purposes. Evaluation metrices were used to produce classification reports, which can indicate which of the models work the best for this specific problem. The models were programmed in Python.
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With regard to the increasing global competition for highly-skilled labour, the group of mobile international students is becoming more and more prominent in the considerations of national policy-makers. One concrete idea is to develop policies in order to bind international students and foreign knowledge workers and make them valuable contributors to the country, economically but also in terms of social and cultural aspects. The Dutch government has put this issue on the agenda and emphasized their interest in binding international talent to the Netherlands. Therefore, it is crucial to learn about the factors, which are decisive in staying and going and which are particularly appealing or unappealing about the Netherlands. In order to contribute to this process, a study was done among international students, alumni, and staff at The Hague University of Applied Sciences. This study's findings have been validated and enriched by the results of a broader survey which has been conducted among the talented international students participating in the Nuffic NL4Talents conference of 4 February 2013 in The Hague. This study suggests that two principal reasons are relevant in residence decisions: career perspective and personal factors, such as having a Dutch partner or circle of friends. Additionally, a number of further factors seems to influence whether internationals want to stay in the Netherlands. All these factors are classified in four groups: those related to the Netherlands in general, to the region/city of residence, personal aspects and aspects related to the university. With regard to the Netherlands, appealing factors appear to be the standard of living, the socio-political environment in the Netherlands and the supposedly welcoming Dutch culture. There are, however, people - in particular those who cannot fully enjoy all rights of the EU citizenship - who feel underprivileged in terms of administrative procedures and in their everyday life in the Netherlands. When it comes to the regional aspects in The Hague, appealing factors are apparently the clean and safe environment to live as well as the availability of several offers for leisure time, including an attractive cultural agenda. Here, the housing situation - more precisely the cost and quality of accommodation - appears as a rather unappealing aspect. In terms of personal considerations, the family-friendly environment in the Netherlands has been rated as particularly appealing. Also having a Dutch partner or Dutch friends may encourage international students to stay and work in the Netherlands. The findings suggest, however, that international students are more embedded in an international circle of friends than linked with the locals. Only few respondents felt being actively excluded from Dutch circles, but a majority agrees that it is difficult to establish bonds with the local population. At the same time, it has been raised that international students voluntarily live in their expat bubble. Lastly, the university experience can contribute to retaining international students. Here, appealing factors were the international study environment which makes the foreign student feel at home, as well as the level and focus of education at The Hague University of Applied Sciences. By contrast, critical views have been raised in relation to a suggested lack of career counselling and support in learning the Dutch language at university. Based on these findings, the report concludes with some recommendations which might serve as a springboard to develop strategies to bind international talent. As the discussion of findings shows, the insights of this study can be validated by insights of a related study that has recently been conducted by Agentschap NL and the advice of the Social and Economic Council of the Netherlands. Based on the findings, the report concludes with a number of recommendations outlining how national, regional, local authorities as well as universities can help to retain more international talent in the Netherlands.
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Few studies on residential mobility of ageing adults to rural areas have investigated which of them buy a home in a rural risk area. This paper examines which socio-demographic characteristics, housing attributes and earthquake circumstances influence the actual choice of mid-to-later life adults to purchase a house in a rural risk area. The study focuses on housing transactions in the Dutch Groningen rural earthquake region, compared to transactions in the Groningen rural non-earthquake area from 2012 to 2019 (N = 6,082). Buying a house in the Groningen risk area might be challenging, as the earthquakes have had a significant impact on the regional housing market, the building structure of the houses and the wellbeing of the residents. Earlier research nonetheless suggests that, despite the risks, homebuyers still purchase houses in the Groningen earthquake area. The developed model predicts which mid-to-later life homebuyers of 50 years and older will purchase a dwelling in the Groningen earthquake region. Logistic regression analyses show that characteristics of the mid-to-later life homebuyer and earthquake circumstances are decisive aspects in respect of this choice. Being a single mid-to-later life homebuyer, with a previous residence in the Groningen earthquake region or being born in this region, enlarges the probability of purchasing a home in the earthquake region. Another significant predictor of a home purchase in the earthquake region appears to be a higher earthquake intensity of the homebuyer’s previous residence. These conclusions indicate the existence of a local housing market in rural risk areas.
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Background: Running has become one of the most popular sports and has proven benefits for public health. Policy makers are increasingly aware that attractively designed public spaces may promote running. However, little is known about what makes a running environment attractive and restorative for runners and to what extent this depends on characteristics of the runner. This study aims to investigate 1) to what extent intrapersonal characteristics (i.e. motives and attitudes) and perceived environmental characteristics (e.g. quality of the running surface, greenness of the route, feelings of safety and hinderance by other road users) are associated with the perceived attractiveness and restorative capacity of the running environment and 2) to what extent the number of years of running experience modify these associations. Methods: Cross-sectional data were collected through the online Eindhoven Running Survey 2015 (ERS15) among half marathon runners (N = 2477; response rate 26.6%). Linear regression analyses were performed for two outcomes separately (i.e. perceived attractiveness and perceived restorative capacity of the running environment) to investigate their relations with motives and attitudes, perceived environmental characteristics and interactions between perceived environmental characteristics and number of years of running experience. Results: Perceived environmental characteristics, including green and lively routes and a comfortable running surface were more important for runners’ evaluation of the attractiveness and restorative capacity of the running environment than runners’ motives and attitudes. In contrast to experienced runners, perceived hinder from unleashed dogs and pedestrians positively impacted the attractiveness and restorative capacity for less experienced runners. Conclusions: Perceived environmental characteristics were important determinants of the attractiveness and restorative capacity of the running environment for both novice and experienced runners. However, green and lively elements in the running environment and hinderances by cars were more important for less experienced runners. In order to keep novice runners involved in running it is recommended to design comfortable running tracks and routes and provide good access to attractive, green and lively spaces.
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As people age, physiological changes affect their thermal perception, sensitivity and regulation. The ability to respond effectively to temperature fluctuations is compromised with physiological ageing, upsetting the homeostatic balance of health in some. As a result, older people can become vulnerable at extremes of thermal conditions in their environment. With population ageing worldwide, it is an imperative that there is a better understanding of older people’s thermal needs and preferences so that their comfort and wellbeing in their living environment can be optimised and healthy ageing achieved. However, the complex changes affecting the physiological layers of the individual during the ageing process, although largely inevitable, cannot be considered linear. They can happen in different stages, speeds and intensities throughout the ageing process, resulting in an older population with a great level of heterogeneity and risk. Therefore, predicting older people’s thermal requirements in an accurate way requires an in-depth investigation of their individual intrinsic differences. This paper discusses an exploratory study that collected data from 71 participants, aged 65 or above, from 57 households in South Australia, over a period of 9 months in 2019. The paper includes a preliminary evaluation of the effects of individual intrinsic characteristics such as sex, body composition, frailty and other factors, on thermal comfort. It is expected that understanding older people’s thermal comfort from the lens of these diversity-causing parameters could lead to the development of individualised thermal comfort models that fully capture the heterogeneity observed and respond directly to older people’s needs in an effective way. (article starts at page 13)
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Objectives In order to recognise and facilitate the development of excellent medical doctors (physicians and residents), it is important to first identify the characteristics of excellence. Failure to recognising excellence causes loss of talent, loss of role models and it lowers work ethos. This causes less than excellent patient care and lack of commitment to improve the healthcare system. Design Systematic review performed according to the Association for Medical Education in Europe guideline. Information sources We searched Medline, Embase, Psycinfo, ERIC and CINAHL until 14 March 2022. Eligibility criteria We included original studies describing characteristics of excellent medical doctors, using a broad approach as to what is considered excellence. Assuming that excellence will be viewed differently depending on the interplay, and that different perspectives (peers, supervisors and patients) will add to a complete picture of the excellent medical doctor, we did not limit this review to a specific perspective. Data extraction and synthesis Data extraction and quality assessment were performed independently by two researchers. We used the Quality Assessment Tool for Different Designs for quality assessment. Results Eleven articles were eligible and described the characteristics from different perspectives: (1) physicians on physicians, (2) physicians on residents, (3) patients on physicians and (4) mixed group (diverse sample of participants on physicians). The included studies showed a wide range of characteristics, which could be grouped into competencies (communication, professionalism and knowledge), motivation (directed to learning and to patient care) and personality (flexibility, empathy). Conclusions In order to define excellence of medical doctors three clusters seem important: competence, motivation and personality. This is in line with Renzulli's model of gifted behaviour. Our work adds to this model by specifying the content of these clusters, and as such provides a basis for definition and recognition of medical excellence.
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