University of Derby

About: University of Derby is a education organization based out in Derby, United Kingdom. It is known for research contribution in the topics: Cloud computing & Population. The organization has 1980 authors who have published 4673 publications receiving 90348 citations. The organization is also known as: Derby College of Art and Technology & Derby College.

Downscaling general circulation model output: a review of methods and limitations

Abstract: General circulation models (GCMs) suggest that rising concentrations of greenhouse gases may have significant consequences for the global climate. What is less clear is the extent to which local (s...

The development of the CIE 2000 colour‐difference formula: CIEDE2000

Abstract: A colour-difference equation based on CIELAB is developed. It includes not only lightness, chroma, and hue weighting functions, but also an interactive term between chroma and hue differences for improving the performance for blue colours and a scaling factor for CIELAB a* scale for improving the performance for gray colours. Four reliable colour discrimination datasets based upon object colours were accumulated and combined. The equation was tested together with the other advanced CIELAB based equations using the combined dataset and each individual dataset. It outperformed CMC and CIE94 by a large margin, and predicted better than BFD and LCD. The equation has been officially adopted as the new CIE colour-difference equation. © 2001 John Wiley & Sons, Inc. Col Res Appl, 26, 340–350, 2001

Functional Fear Predicts Public Health Compliance in the COVID-19 Pandemic.

Abstract: In the current context of the global pandemic of coronavirus disease-2019 (COVID-19), health professionals are working with social scientists to inform government policy on how to slow the spread of the virus. An increasing amount of social scientific research has looked at the role of public message framing, for instance, but few studies have thus far examined the role of individual differences in emotional and personality-based variables in predicting virus-mitigating behaviors. In this study, we recruited a large international community sample (N = 324) to complete measures of self-perceived risk of contracting COVID-19, fear of the virus, moral foundations, political orientation, and behavior change in response to the pandemic. Consistently, the only predictor of positive behavior change (e.g., social distancing, improved hand hygiene) was fear of COVID-19, with no effect of politically relevant variables. We discuss these data in relation to the potentially functional nature of fear in global health crises.

Small firm growth, access to capital markets and financial structure: Review of issues and an empirical investigation

Abstract: This article investigates the financial structure of small firms with an emphasis on growth and access to capital markets Neo-classical economic, life cycle, pecking order and agency theory perspectives are reviewed in order to formulate testable propositions concerning levels of long-term, short-term and total debt, and liquidity Up-to-date financial data were collected from the UK Private+ database for a large sample comprising of both listed and unlisted small firms Regression results indicate significant relationships between financial structure and profitability, asset structure, size, age and stock market flotation but not growth except when rapid and combined with lack of stock market flotation Analysis of stock market flotation as an interactive dummy reveals major differences between listed and unlisted small firms The results indicate that the variety of financial structures observed in practice may reflect rational trade-offs of various costs on the part of small firm owner-managers but that the over-reliance on internally available funds and the importance of collateral, in the case of unlisted small firms, are likely to be major constraints on economic growth