RESOURCE ACCOUNTING AND BUDGETING: RATIONALE AND BACKGROUND
In: Public administration: an international journal, Band 73, Heft 4, S. 562-570
ISSN: 1467-9299
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In: Public administration: an international journal, Band 73, Heft 4, S. 562-570
ISSN: 1467-9299
In: Public administration: an international quarterly, Band 73, Heft 4, S. 562-570
ISSN: 0033-3298
Purpose: Strengthening research capacity (RC) amongst health professionals has both organisational and individual benefits. It can increase the quality of research and support the transfer of evidence into practice and policy. However there is little evidence on what works to develop and strengthen RC. This paper contributes to the evidence base by reporting findings from an evaluation of a programme that aimed to build capacity to use and do research amongst NHS and local authority organisations and their staff in a large English research partnership organisation. Methods: The evaluation used multiple qualitative methods including semi-structured interviews, focus groups and workshops (n=131 respondents including public advisers, university, NHS, and local government partners). Results: The RC building programme provided a range of development opportunities for NHS and local authority staff resulting in increased confidence and skills to undertake, participate in, and use research. Additionally, positive influences on organisational practice and collaborative working were reported. Conversely, challenges to developing research capacity were also identified as were the importance of resources, senior level buy-in, and the relevance of research topic to practice in facilitating participation in the programme. Conclusion: Collaboration for Leadership in Applied Health Research and Care North West Coast's (CLAHRC-NWC) RC building programme differed from conventional approaches giving less emphasis to formal teaching and more to experiential learning and focusing on both individual capacities and supporting organisations to integrate RC building into staff development programmes. The findings demonstrate that providing opportunities for staff in NHS and local authority organisations to develop research knowledge and skills alongside an infrastructure that supports and encourages their participation in research can have positive impacts on research capacity and organisational research culture. The potential for ...
BASE
In: Journal of policy modeling: JPMOD ; a social science forum of world issues, Band 32, Heft 1, S. i
ISSN: 0161-8938
In: Social psychology, Band 51, Heft 5, S. 334-340
ISSN: 2151-2590
Abstract. The halo effect is one of the most common threats to interpersonal evaluation. In the present study, we examined the role of an alternative approach to reducing the halo effect, namely by stimulating analytic thinking. In Study 1, we established the validity of the current paradigm in inducing the halo effect. In Study 2 and Study 3, we investigated whether the halo effect could be reduced when analytic thinking was activated either with Raven's Standard Progressive Matrices or with a writing task. Results of both studies showed that participants were less biased by the irrelevant central trait when analytic thinking was activated compared to the control group, suggesting that priming analytic thinking ahead of a judgmental task can reduce the halo effect.
In: Journal of peace research, Band 33, Heft 2, S. 217-228
ISSN: 0022-3433
In: Developmental science, Band 25, Heft 2
ISSN: 1467-7687
AbstractA long‐standing question in developmental science is how the neurodevelopment of the brain influences cognitive functions. Here, we examined the developmental change of resting EEG power and its links to vocabulary acquisition in school‐age children. We further explored what mechanisms may mediate the relation between brain rhythm maturation and vocabulary knowledge. Eyes‐opened resting‐state EEG data were recorded from 53 typically‐developing Chinese children every 2 years between the ages of 7 and 11. Our results showed first that delta, theta, and gamma power decreased over time, whereas alpha and beta power increased over time. Second, after controlling for general cognitive abilities, age, home literacy environment, and phonological skills, theta decreases explained 6.9% and 14.4% of unique variance in expressive vocabulary at ages 9 and 11, respectively. We also found that beta increase from age 7 to 9 significantly predicted receptive vocabulary at age 11. Finally, theta decrease predicted expressive vocabulary through the effects of phoneme deletion at age 9 and tone discrimination at age 11. These results substantiate the important role of brain oscillations at rest, especially theta rhythm, in language development. The developmental change of brain rhythms could serve as sensitive biomarkers for vocabulary development in school‐age children, which would be of great value in identifying children at risk of language impairment.
In: Air quality, atmosphere and health: an international journal
ISSN: 1873-9326
AbstractAir pollution from fine particulate matter (PM2.5) has been associated with various health implications that can lead to increased morbidity and excess mortality. Epidemiological and toxicological studies have shown that carbonaceous particles (black carbon and organic aerosols) may be more hazardous to human health than inorganic ones. Health impact studies and emission reduction policies are based on total PM2.5 concentration without differentiating the more harmful components. In such assessments, PM2.5 and their sub-component concentrations are usually modeled with air quality models. Organic aerosols have been shown to be consistently underestimated, which may affect excess mortality estimates. Here, we use the WRF-Chem model to simulate PM2.5 (including carbonaceous particles) over the wider European domain and assess some of the main factors that contribute to uncertainty. In particular, we explore the impact of anthropogenic emissions and meteorological modeling on carbonaceous aerosol concentrations. We further assess their effects on excess mortality estimates by using the Global Exposure Mortality Model (GEMM). We find that meteorological grid nudging is essential for accurately representing both PM2.5 and carbonaceous aerosols and that, for this application, results improve more significantly compared to spectral nudging. Our results indicate that the explicit account of organic precursors (semi-volatile and intermediate-volatile organic carbons—SVOCs/IVOCs) in emission inventories would improve the accuracy of organic aerosols modeling. We conclude that uncertainties related to PM2.5 modeling in Europe lead to a ∼15% deviation in excess mortality, which is comparable to the risk model uncertainty. This estimate is relevant when all PM2.5 sub-components are assumed to be equally toxic but can be higher by considering their specific toxicity.