Soil organic carbon stock in different urban land uses: high stock evidence in urban parks

Urban Ecosystems - Urban areas are major producers of atmospheric CO2 emissions, but at the same time they can offset some of the associated C losses by retaining stable organic carbon in their...     

Kulturwandel im Geldgeschäft? Potenziale einer ethischen Selbsterneuerung im Banken- und Finanzwesen

Following the financial crisis in 2008 a debate about the social benefit of the financial industry, which operates without considering its real-economic consequences, was initiated. The financial industry responded by offering strategies of cultural change (“Kulturwandel”) which foster a more socially responsible financial practice. At the same time the expansion of “ethical” banks aims to establish a banking business avoiding negative externalities of the banking sector. Following the conceptual assumptions of the sociology of critique we study the collectively shared interpretation of a “good” and legitimate financial practice beyond publicly communicated standards of practice. Against this backdrop we evaluate the potentials of normative self-regulation in banking and finance. Our results show that cultural or ethical change is only partly feasible if it exclusively focuses the motives, values and personalities of the individual subjects but neglects the structural as well as institutional conditions of a “good” financial practice.     

Choice of the ridge factor from the correlation matrix determinant

Ridge regression is the alternative method to ordinary least squares, which is mostly applied when a multiple linear regression model presents a worrying degree of collinearity. A relevant topic in ridge regression is the selection of the ridge parameter, and different proposals have been presented in the scientific literature. Since the ridge estimator is biased, its estimation is normally based on the calculation of the mean square error (MSE) without considering (to the best of our knowledge) whether the proposed value for the ridge parameter really mitigates the collinearity. With this goal and different simulations, this paper proposes to estimate the ridge parameter from the determinant of the matrix of correlation of the data, which verifies that the variance inflation factor (VIF) is lower than the traditionally established threshold. The possible relation between the VIF and the determinant of the matrix of correlation is also analysed. Finally, the contribution is illustrated with three real examples.     

Prohibition,Regulation or Free Market: A Mapping of Colombian People’s Perspectives Regarding National Drug Policies

Colombian laypersons’ perspectives regarding actual and potential drug policies were examined. Adults (N = 395) aged 18–68 and living in Bogota were presented with 24 vignettes that were composed according to two within-subject orthogonal factor designs: (a) Demand for drugs in the country × Current government policy regarding soft and hard drugs (from “laissez faire” policy for all drugs to complete prohibition of all drugs) and (b) Information campaigns regarding the dangerousness of drugs × Current policy. Participants rated the level of acceptability of each policy. Seven different perspectives were identified that can be grouped into five broad views. The first one (50 % of participants) was called “radical constructionists” because participants considered that all policies were unacceptable. The second one (19 %) was called “cultural conservatives” because only one drug policy was considered fully acceptable: complete prohibition (although half of the members of this group were willing to allow soft drugs to be sold freely). The third one (14 %) was called “progressive prohibitionists” because the preferred policies in this group were either complete prohibition or complete regulation by the government. The fourth one (8 %) was called “free trade libertarians” because the dominant opinion was that the drug market should be free. The last one (5 %) was called “progressive advocates of legalization” because the preferred policy in this group was complete regulation of all substances. In most cases, the presence of information campaigns was highly valued. Methodological implications and implications for decision-makers are discussed.     

Settlers,target-earners,young professionals. Distinct migrant types,distinct integration trajectories?

In this article, we start out from theoretical concepts about different types of migrants that feature prominently in the immigration literature. By applying latent class analysis to a unique ‘mini-panel’ data set on recent Polish and Turkish immigrants in Germany, we identify two types of migrants that are in line with the literature, namely settlers and target-earners. We label a third group that is best described as educational target-earners: ‘young learners/professionals’. Regarding variation in these groups’ early sociocultural integration patterns, results suggest that they reflect primarily differences in migrants’ intention to stay, individual resources such as education, and opportunities for integration related to newcomers’ involvement in the educational system or labour force. In sum, migrant types – though certainly more intuitively appealing and vivid than single ‘variables’ – seem to have limited explanatory power when it comes to predicting newcomers’ early integration trajectories.     

Modeling individual migraine severity with autoregressive ordered probit models

This paper considers the problem of modeling migraine severity assessments and their dependence on weather and time characteristics. We take on the viewpoint of a patient who is interested in an individual migraine management strategy. Since factors influencing migraine can differ between patients in number and magnitude, we show how a patient’s headache calendar reporting the severity measurements on an ordinal scale can be used to determine the dominating factors for this special patient. One also has to account for dependencies among the measurements. For this the autoregressive ordinal probit (AOP) model of Müller and Czado (J Comput Graph Stat 14: 320–338, 2005) is utilized and fitted to a single patient’s migraine data by a grouped move multigrid Monte Carlo (GM-MGMC) Gibbs sampler. Initially, covariates are selected using proportional odds models. Model fit and model comparison are discussed. A comparison with proportional odds specifications shows that the AOP models are preferred.     

Erst sprechen,dann handeln?

Acting follows speaking? How narrative behavioral neurocoaching can sustain the personal capacity to act. Topic of this article is the question which therapeutic mechanisms can enhance the effects of coaching. Banduras concept of self-efficacy expectancies is related with results of latest psychotherapy research and neurophysiology. Narrative verbal aspects of quasi-therapeutical interventions and their contribution to the construction of personal identity are analysed according to findings of the Narrative Psychology. Behavioral components, i.e. how experiences will result in enduring neuronal changes and so in stable changes of behaviour, are described in accordance to findings of neurophysiologic researches. Based on these knowledges, the author gives recommendations for the conceptional design of effective coaching processes with the aim to sustain the personal capacity to act of the client.     

Pair‐copula constructions for non‐Gaussian DAG models

We propose a new type of multivariate statistical model that permits non‐Gaussian distributions as well as the inclusion of conditional independence assumptions specified by a directed acyclic graph. These models feature a specific factorisation of the likelihood that is based on pair‐copula constructions and hence involves only univariate distributions and bivariate copulas, of which some may be conditional. We demonstrate maximum‐likelihood estimation of the parameters of such models and compare them to various competing models from the literature. A simulation study investigates the effects of model misspecification and highlights the need for non‐Gaussian conditional independence models. The proposed methods are finally applied to modeling financial return data. The Canadian Journal of Statistics 40: 86–109; 2012 © 2012 Statistical Society of Canada     

Initiating Senior Co-Housing: People,Place, andLong-Term Security

Abstract

An increasing proportion of older people are unable to afford rental or purchase of age-appropriate residential accommodation in Australia. This article reports on a community-initiated research project investigating feasibility of affordable co-housing for older residents wishing to age in their community. Factors enabling successful co-housing for seniors were investigated through a systematic literature review. The multiphase participatory research approach drew on the knowledge of local seniors, community support workers, and planning and design professionals through workshops and interviews in a regional community in southeast Queensland. The findings demonstrate interest in and barriers to senior co-housing. The research engagement approach enables tailored solutions for individual long-term security, relevant to small communities in Australia.