Piezoelectric lock mechanism resists lockpicking

Electrically coded piezoelectric lock mechanisms are strong, have few moving parts, are resettable, and are relatively unaffected by high magnetic fields. Codes are extremely difficult to circumvent

Failing role models and the formation of fear of entrepreneurial failure: A study of regional peer effects in German regions

Entrepreneurial role models influence decisions to start firms. This effect is even stronger if peers and observers live in the same region. However, most studies remain silent about the role of entrepreneurial failure for the direction of role modeling. Failed role models can trigger a deterrence of entrepreneurship in others of the same region. We hypothesize that observing successful entrepreneurs reduces fear of failure, while observing business failure increases fear of failure. By using data on regional entries and exits, we find considerable support for our hypothesis and contribute to literature on regional entrepreneurship. © 2019 The Author(s) (2018). Published by Oxford University Press

Impact Evaluation by Using Relational Approaches in Web Surveys

Web surveys in higher education are particularly important for evaluating the quality of academic teaching and learning. Traditionally, mainly quantitative data is used for quality assessment. Increasingly, questions are being raised about the impact of attitudes of individuals involved. Therefore, especially the analysis of open-ended text responses in web surveys offers the potential for impact evaluation. Despite the fact that qualitative text mining, sentiment analysis, and network analytics are being introduced in other research areas, these instruments are still slowly gaining access to evaluation research. On the one hand, there is a lack of methodological expertise to deal with large numbers of text responses (e.g. via semantic analysis, linguistically supported coding, etc.). On the other hand, deficiencies in interdisciplinary expertise are identified in order to be able to contextualize the results. The contribution contributes to the field of impact evaluation and reveals methodological implications for the development of text mining, sentiment analysis, and network analytics in evaluation processes

Impact Evaluation by Using Text Mining and Sentiment Analysis

Web surveys in higher education are particularly important for assessing the quality of academic teaching and learning. Traditionally, mainly quantitative data is used for quality assessment. Increasingly, questions are being raised about the impact of attitudes of the individuals involved. Therefore, especially the analysis of open-ended text responses in web surveys offers the potential for impact evaluation. Despite the fact that qualitative text mining and sentiment analysis are being introduced in other research areas, these instruments are still slowly gaining access to evaluation research. On the one hand, there is a lack of methodological expertise to deal with large numbers of text responses (e.g. via semantic analysis, linguistically supported coding, etc.). On the other hand, deficiencies in interdisciplinary expertise are identified in order to be able to contextualize the results. The following contribution aims to address these issues. The presentation will contribute to the field of impact evaluation and reveals methodological implications for the development of text mining and sentiment analysis in evaluation processes

Fear and deprivation in Trump’s America: A regional analysis of voting behavior in the 2016 and 2020 U.S. presidential elections

Since Trump was elected U.S. President in 2016, researchers have sought to explain his support, with some focusing on structural factors (e.g., economics) and others focusing on psychological factors (e.g., negative emotions). We integrate these perspectives in a regional analysis of 18+ structural variables capturing economic, demographic, and health factors as well as the aggregated neuroticism scores of 3+ million individuals. Results revealed that regions that voted for Trump in 2016 and 2020 had high levels of neuroticism and economic deprivation. Regions that voted for Trump also had high anti-Black implicit bias and low ethnic diversity, though Trump made gains in ethnically diverse regions in 2020. Trump’s voter base differed from the voter base of more traditional Republican candidates and Democrat Bernie Sanders. In sum, structural and psychological factors both explain Trump’s unique authoritarian appeal

In the shadow of coal: How large-scale industries contributed to present-day regional differences in personality and well-being

Recent research has identified regional variation of personality traits within countries but we know little about the underlying drivers of this variation. We propose that the Industrial Revolution, as a key era in the history of industrialized nations, has led to a persistent clustering of well-being outcomes and personality traits associated with psychological adversity via processes of selective migration and socialization. Analyzing data from England and Wales, we examine relationships between the historical employment share in large-scale coal-based industries (coal mining and steam-powered manufacturing industries that used this coal as fuel for their steam engines) and today’s regional variation in personality and well- being. Even after controlling for possible historical confounds (historical energy supply, education, wealth, geology, climate, population density), we find that the historical local dominance of large-scale coal-based industries predicts today’s markers of psychological adversity (lower Conscientiousness [and order facet scores], higher Neuroticism [and anxiety and depression facet scores], lower activity [an Extraversion facet], and lower life satisfaction and life expectancy). An instrumental variable analysis, using the historical location of coalfields, supports the causal assumption behind these effects (with the exception of life satisfaction). Further analyses focusing on mechanisms hint at the roles of selective migration and persisting economic hardship. Finally, a robustness check in the U.S. replicates the effect of the historical concentration of large-scale industries on today’s levels of psychological adversity. Taken together, the results show how today’s regional patterns of personality and well-being may have their roots in major societal changes underway decades or centuries earlier

The Cdk8 kinase module regulates interaction of the mediator complex with RNA polymerase II

The Cdk8 kinase module (CKM) is a dissociable part of the coactivator complex mediator, which regulates gene transcription by RNA polymerase II. The CKM has both negative and positive functions in gene transcription that remain poorly understood at the mechanistic level. In order to reconstitute the role of the CKM in transcription initiation, we prepared recombinant CKM from the yeast Saccharomyces cerevisiae. We showed that CKM bound to the core mediator (cMed) complex, sterically inhibiting cMed from binding to the polymerase II preinitiation complex (PIC) in vitro. We further showed that the Cdk8 kinase activity of the CKM weakened CKM–cMed interaction, thereby facilitating dissociation of the CKM and enabling mediator to bind the PIC in order to stimulate transcription initiation. Finally, we report that the kinase activity of Cdk8 is required for gene activation during the stressful condition of heat shock in vivo but not under steady-state growth conditions. Based on these results, we propose a model in which the CKM negatively regulates mediator function at upstream-activating sequences by preventing mediator binding to the PIC at the gene promoter. However, during gene activation in response to stress, the Cdk8 kinase activity of the CKM may release mediator and allow its binding to the PIC, thereby accounting for the positive function of CKM. This may impart improved adaptability to stress by allowing a rapid transcriptional response to environmental changes, and we speculate that a similar mechanism in metazoans may allow the precise timing of developmental transcription programs

Regional Trajectories of Entrepreneurship and Growth

The development of regions is considerably shaped by their history. We review research that finds significant persistence of regional levels of entrepreneurship over longer periods of time. It is argued that the long term persistence of regional entrepreneurship indicates the presence and effect of a culture of entrepreneurship that is conducive to new business formation and regional growth. Hence, regional development is characterized by long term trajectories of entrepreneurship. We derive a number of policy implications and propose avenues for further research.</p