Using english as a foreign language in international and multicultural consulting: Asset or hindrance?

When it comes to an encounter of people of mixed national and ethnical backgrounds, one of the major challenges is undoubtedly the linguistic diversity. Given the widely acknowledged status of English as the world language, English has also become the most widely used language when it comes to professional counselling in intercultural contexts. Due to the growing demand of counselling processes in English, a certain command of the English language has also become indispensible for consultants. It has to be noted, however, that it??s rarely English native speakers who prompt a ??multilingual?? group to speak English. In most working contexts it is speakers, for ??none of whom is the mother tongue?? (House 1999: 74), who agree to use English as common code of understanding, i.e. English as a lingua franca (ELF). Current researches strongly question the status of native English norms as the only point of reference for ??correct?? usage of English (cf. e.g. Seidlhofer et al. 2006). Based on empirical data, this contribution chooses an interdisciplinary approach at the interface between linguistics and other social sciences to examine some implications of the use of ELF in professional counselling processes with a strong focus on supervision. It is meant to show that consulting processes in English, among non-native speakers, can be carried out successfully despite clear linguistic deviations from native speaker norms.     

Dilemmas of youth work: balancing the professional and personal

Being an effective and intentional youth practitioner involves more than planning. It includes being able to react intelligently to the many difficult situations that arise. Practitioners in out-of-school and after-school settings regularly confront complex dilemmas that emerge in their daily work. They face situations where competing objectives, values, and warrants come into conflict, situations that can pit the developmental needs of youth, ethical concerns, administrative requirements, and other considerations against each other. Using examples from their research that weigh professional and personal judgments, the authors illustrate the complexity of these practice dilemmas and the considerations program staff included as they responded to these challenging situations.     

Gendered images of international research collaboration

Joan Acker's theory on gendered organizations offers important tools for understanding subtler forms of inequalities and gendered practices in the workplace. According to Acker, invisible mechanisms in organizations such as the symbolic and material/structural aspects of organizations reproduce gendered inequalities. My application of Acker's theory demonstrates how imagery itself assigns value to collaborative practices in gender stereotypical ways. In an institutional context that devalues international research collaboration among faculty, gendered images of exploiter, patronizing helper, partner, or friend ultimately serve to construct glass fences ‐ obstacles to international collaborative engagement ‐ particularly for women. The reflection and potential recreation of gendered inequalities among academics simultaneously reconstructs inequalities between the U.S. and abroad, as institutional reward structures attach gendered symbolic and material values that (re)shape (international) collaborations themselves. Together, these processes construct the gendered organization of global science and academia.     

Negative situation appraisal and mental well-being among refugees in Germany: Serial mediation by religious coping and sense of coherence

It has been widely demonstrated that pre- and post-migration experiences can be highly traumatic for refugees. The purpose of this study was to assess the mediating effects of religious coping and sense of coherence on the association of negative dysfunctional situation appraisal and mental well-being among refugees. Paper surveys were completed by 600 people representing various refugee groups (mostly from Mashreq Countries) in German Bavaria, aged 18–65. Mediation analysis revealed that negative religious coping and sense of coherence singly and serially mediated the relationship between negative dysfunctional situation appraisal and well-being, whereas positive religious coping did not have statistically significant relationships with these variables. The data obtained suggest that the negative religious coping style and sense of coherence are two important targets for future experimental studies, and interventions on them may bring the synergistic effect on improving mental well-being in refugees.     

Woodland fragments in urban landscapes are important bat areas: an example of the endangered Bechstein’s bat Myotis bechsteinii

Urban Ecosystems - Urban areas are increasing globally causing fragmentation and loss of habitats for many forest dwelling species. At the same time new habitats are created, which may be exploited...     

A Look at State‐Level Risk Assessment in the United States: Making Decisions in the Absence of Federal Risk Values

State environmental agencies in the United States are charged with making risk management decisions that protect public health and the environment while managing limited technical, financial, and human resources. Meanwhile, the federal risk assessment community that provides risk assessment guidance to state agencies is challenged by the rapid growth of the global chemical inventory. When chemical toxicity profiles are unavailable on the U.S. Environmental Protection Agency's Integrated Risk Information System or other federal resources, each state agency must act independently to identify and select appropriate chemical risk values for application in human health risk assessment. This practice can lead to broad interstate variation in the toxicity values selected for any one chemical. Within this context, this article describes the decision‐making process and resources used by the federal government and individual U.S. states. The risk management of trichloroethylene (TCE) in the United States is presented as a case study to demonstrate the need for a collaborative approach among U.S. states toward identification and selection of chemical risk values while awaiting federal risk values to be set. The regulatory experience with TCE is contrasted with collaborative risk science models, such as the European Union's efforts in risk assessment harmonization. Finally, we introduce State Environmental Agency Risk Collaboration for Harmonization, a free online interactive tool designed to help to create a collaborative network among state agencies to provide a vehicle for efficiently sharing information and resources, and for the advancement of harmonization in risk values used among U.S. states when federal guidance is unavailable.     

Bayesian Network Model with Application to Smart Power Semiconductor Lifetime Data

In this article, Bayesian networks are used to model semiconductor lifetime data obtained from a cyclic stress test system. The data of interest are a mixture of log‐normal distributions, representing two dominant physical failure mechanisms. Moreover, the data can be censored due to limited test resources. For a better understanding of the complex lifetime behavior, interactions between test settings, geometric designs, material properties, and physical parameters of the semiconductor device are modeled by a Bayesian network. Statistical toolboxes in MATLAB® have been extended and applied to find the best structure of the Bayesian network and to perform parameter learning. Due to censored observations Markov chain Monte Carlo (MCMC) simulations are employed to determine the posterior distributions. For model selection the automatic relevance determination (ARD) algorithm and goodness‐of‐fit criteria such as marginal likelihoods, Bayes factors, posterior predictive density distributions, and sum of squared errors of prediction (SSEP) are applied and evaluated. The results indicate that the application of Bayesian networks to semiconductor reliability provides useful information about the interactions between the significant covariates and serves as a reliable alternative to currently applied methods.