Sentence examples for hinder acceptance from inspiring English sources

Research in southern Germany between 1990 and 1996 and other more recent studies demonstrate how a lack of communication between scientists, planners, administrators and local stakeholders hinder acceptance and implementation of landscape planning projects.

3. The trolley problem could hinder acceptance and adoption, especially in policy circles where red herrings too often gain traction and are used to slow progress.

Other factors which may hinder acceptance of referral advice include lack of reliable transport, costs involved and perceived quality of care at the hospitals [ 7, 11, 12].

From the GPs' perspective, several raised concerns about the potential for doctor autonomy to hinder acceptance of institutional policies and guidelines.

These perceptions may hinder acceptance of the score by experienced clinicians in the future and would need to be addressed in future initiatives aimed at incorporating these tests into routine practice.

The survey focuses this year on the link between trust and innovation, and found that trust issues are hindering acceptance of technological advancements.

Although this does not negate the clinical effects of spinal manipulation, it hinders acceptance by the wider scientific and health-care communities and hinders rational strategies for improving the delivery of spinal manipulation.

In the meantime, professors Lynda Gratton and Andrew Scott have been studying the issue of working lives in (much) later life and some of the stereotypes that hinder its acceptance.

However, the low profile of these examples in society and on the market calls for a query into factors that may facilitate or hinder broader acceptance of more sustainable alternatives.

The first is the profundity of the natural cognitive biases – such as our human propensity to look for design and purpose – that hinder the acceptance of evolution; obviously these are best countered as early as possible in a child's education.

In particular, deep learning models are famously hard to interpret and explain - which may substantially hinder their acceptance when facing critical or even vital decisions.