We address the explicit ecocentric roots of conservation science and the support of a growing number of conservationists for ecocentric natural value. Although ecosystem‐services arguments may play an important role in stemming the biodiversity crisis, a true transformation of humanity's relationship with nature ought to be based in part on ecocentric valuation. Conservation scientists have played a leading role in initiating this transformation, and they ought to continue to do so. https://doi.org/10.1111/cobi.13067 LinkedIn: https://www.linkedin.com/in/helenkopnina/
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Nurse clinician-scientists are increasingly expected to show leadership aimed at transforming healthcare. However, research on nurse clinician-scientists' leadership (integrating researcher and practitioner roles) is scarce and hardly embedded in sociohistorical contexts. This study introduces leadership moments, that is, concrete events in practices that are perceived as acts of empowerment, in order to understand leadership in the daily work of newly appointed nurse clinician-scientists. Following the learning history method we gathered data using multiple (qualitative) methods to get close to their daily practices. A document analysis provided us with insight into the history of nursing science to illustrate how leadership moments in the everyday work of nurse clinician-scientists in the “here and now” can be related to the particular histories from which they emerged. A qualitative analysis led to three acts of empowerment: (1) becoming visible, (2) building networks, and (3) getting wired in. These acts are illustrated with three series of events in which nurse clinician-scientists' leadership becomes visible. This study contributes to a more socially embedded understanding of nursing leadership, enables us to get a grip on crucial leadership moments, and provides academic and practical starting points for strengthening nurse clinician-scientists' leadership practices. Transformations in healthcare call for transformed notions of leadership.
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OBJECTIVE: To reach consensus on the most important biopsychosocial factors that influence functional capacity results in patients with chronic nonspecific musculoskeletal pain, arranged in the framework of the International Classification of Functioning, Disability and Health.DESIGN: Three-round, internet-based Delphi survey.SETTING: Not applicable.PARTICIPANTS: Participants were scientists, clinicians, and patients familiar with functional capacity testing. Scientists were invited through purposive sampling based on the number of relevant publications in peer-reviewed journals. The scientists recruited clinicians and patients through snowball sampling.INTERVENTIONS: Not applicable.MAIN OUTCOME MEASURES: Consensus was reached if at least moderate influence (25%) was achieved and an interquartile range of no more than 1 point was reached.RESULTS: Thirty-three scientists, 21 clinicians, and 21 patients from 9 countries participated. Participants reached consensus on 6 factors that can influence the outcome of the lifting test, having a median of severe influence (50%-95%): catastrophic thoughts and fear, patient adherence to "doctor's orders," internal and external motivation, muscle power, chronic pain behavior, and avoidance behavior. Motivation, chronic pain behavior, and sensation of pain were the top 3 factors affecting postural tolerance and repetitive movement functional capacity tests. Furthermore, participants reported 28 factors having a median of moderate influence (25%-49%) that could influence the outcome of lifting, postural tolerance, and repetitive movement tests.CONCLUSIONS: Overall, chronic pain behavior, motivation, and sensation of pain are the main factors that can influence functional capacity results. We recommend that scientists and clinicians, respectively, consider the most important factors when planning future studies and when interpreting functional capacity test results.
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A unique testing ground where the creative sector and education work together to better understand the possibilities around volumetric video capturing. Within a volumetric studio, dozens of cameras capture all the movements of a living subject simultaneously. These recordings are converted into a fully moving and digital image, which results in an image that is barely distinguishable from reality. Chronosphere gives content creators and scientists the unique opportunity to experiment with volumetric capturing, using the newest volumetric studio within De Effenaar. There is room for a total of twenty projects, and proposals can be submitted.Partners:De Effenaar 4DR Studios Wildvreemd Natlab 360 verbeelding Dutch Rose Media Hyperspace Institute Fontys Hogescholen TU/e Center for Humans & Technology
Biodiversiteit is de basis van een gezonde en toekomstbestendige leefomgeving, maar de drang van de mensheid naar economische groei en ontwikkeling ondermijnt deze basis. Om biodiversiteitsverlies te kenteren zijn een goed begrip van de waarde van biodiversiteit, een breed gedragen gevoel van urgentie voor herstel ervan en praktisch toepasbare, effectieve, maatregelen voor biodiversiteitsherstel cruciaal. Herstel van biodiversiteit vraagt ook om samenwerking tussen partijen wiens belangen en perspectieven kunnen verschillen, en dus om ‘over grenzen heen’ te kunnen kijken en denken. In dit project gaan leerlingen, studenten en docenten samenwerken met wetenschappers om biodiversiteit te herstellen op schoolterreinen en vervolgens te monitoren via citizen science methoden, gericht op planten en insecten. We doen dat met het voorbereidend en middelbaar beroepsonderwijs omdat de meeste jongeren in Nederland onderwijs op (v)mbo-niveau volgen en in deze doelgroep de potentie voor biodiversiteitsherstel nog onvoldoende wordt benut. Onze hypothese is dat theoretische en complexe begrippen als ecologie en biodiversiteit effectiever geleerd worden als deze aangeboden worden in een betekenisvolle context middels authentieke opdrachten waarbij ervaren, onderzoeken en handelen centraal staan. De doelstellingen van dit project zijn: (1) een leeromgeving creëren voor (v)mbo citizen science m.b.t. biodiversiteitsherstel op schoolterreinen; (2) validatie van biodiversiteitgegevens verzameld met (v)mbo citizen scientists; en (3) onderzoeken hoe (v)mbo citizen science effectief ingezet en geïntegreerd kan worden in het curriculum van het (v)mbo. Deze nieuwe aanpak werkt als een vliegwiel voor herstel van biodiversiteit omdat kennis en bewustzijn van (v)mbo-studenten en -leerlingen m.b.t. biodiversiteit wordt vergroot en praktisch handelingsperspectief wordt ontwikkeld waarmee studenten en leerlingen in hun toekomstige loopbaan én als burger kunnen bijdragen aan het verduurzamen van de maatschappij.
In order to stay competitive and respond to the increasing demand for steady and predictable aircraft turnaround times, process optimization has been identified by Maintenance, Repair and Overhaul (MRO) SMEs in the aviation industry as their key element for innovation. Indeed, MRO SMEs have always been looking for options to organize their work as efficient as possible, which often resulted in applying lean business organization solutions. However, their aircraft maintenance processes stay characterized by unpredictable process times and material requirements. Lean business methodologies are unable to change this fact. This problem is often compensated by large buffers in terms of time, personnel and parts, leading to a relatively expensive and inefficient process. To tackle this problem of unpredictability, MRO SMEs want to explore the possibilities of data mining: the exploration and analysis of large quantities of their own historical maintenance data, with the meaning of discovering useful knowledge from seemingly unrelated data. Ideally, it will help predict failures in the maintenance process and thus better anticipate repair times and material requirements. With this, MRO SMEs face two challenges. First, the data they have available is often fragmented and non-transparent, while standardized data availability is a basic requirement for successful data analysis. Second, it is difficult to find meaningful patterns within these data sets because no operative system for data mining exists in the industry. This RAAK MKB project is initiated by the Aviation Academy of the Amsterdam University of Applied Sciences (Hogeschool van Amsterdan, hereinafter: HvA), in direct cooperation with the industry, to help MRO SMEs improve their maintenance process. Its main aim is to develop new knowledge of - and a method for - data mining. To do so, the current state of data presence within MRO SMEs is explored, mapped, categorized, cleaned and prepared. This will result in readable data sets that have predictive value for key elements of the maintenance process. Secondly, analysis principles are developed to interpret this data. These principles are translated into an easy-to-use data mining (IT)tool, helping MRO SMEs to predict their maintenance requirements in terms of costs and time, allowing them to adapt their maintenance process accordingly. In several case studies these products are tested and further improved. This is a resubmission of an earlier proposal dated October 2015 (3rd round) entitled ‘Data mining for MRO process optimization’ (number 2015-03-23M). We believe the merits of the proposal are substantial, and sufficient to be awarded a grant. The text of this submission is essentially unchanged from the previous proposal. Where text has been added – for clarification – this has been marked in yellow. Almost all of these new text parts are taken from our rebuttal (hoor en wederhoor), submitted in January 2016.
