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Similar Yet Different
(2020)
The importance of intrinsically disordered late embryogenesis abundant (LEA) proteins in the tolerance to abiotic stresses involving cellular dehydration is undisputed. While structural transitions of LEA proteins in response to changes in water availability are commonly observed and several molecular functions have been suggested, a systematic, comprehensive and comparative study of possible underlying sequence-structure-function relationships is still lacking. We performed molecular dynamics (MD) simulations as well as spectroscopic and light scattering experiments to characterize six members of two distinct, lowly homologous clades of LEA_4 family proteins from Arabidopsis thaliana. We compared structural and functional characteristics to elucidate to what degree structure and function are encoded in LEA protein sequences and complemented these findings with physicochemical properties identified in a systematic bioinformatics study of the entire Arabidopsis thaliana LEA_4 family. Our results demonstrate that although the six experimentally characterized LEA_4 proteins have similar structural and functional characteristics, differences concerning their folding propensity and membrane stabilization capacity during a freeze/thaw cycle are obvious. These differences cannot be easily attributed to sequence conservation, simple physicochemical characteristics or the abundance of sequence motifs. Moreover, the folding propensity does not appear to be correlated with membrane stabilization capacity. Therefore, the refinement of LEA_4 structural and functional properties is likely encoded in specific patterns of their physicochemical characteristics.
Der Band versammelt verschiedenen Beiträge, die sich mit dem Leben und Werk von Peter Weiss auseinandersetzen. Die Beiträge wurden auf der Konferenz "Peter Weiss - 100" anläßlich des hundertsten Geburtstages des Autors im Jahre 2016 in Potsdam gehalten. Dabei wirkten unterschiedliche Einrichtungen und Institutionen erstmals gemeinsam im Geburtsort des Künstlers.
Reconstructing democracy
(2020)
Across the world, democracies are suffering from a disconnect between the people and political elites. In communities where jobs and industry are scarce, many feel the government is incapable of understanding their needs or addressing their problems. The resulting frustration has fueled the success of destabilizing demagogues. To reverse this pattern and restore responsible government, we need to reinvigorate democracy at the local level. But what does that mean? Drawing on examples of successful community building in cities large and small, from a shrinking village in rural Austria to a neglected section of San Diego, Reconstructing Democracy makes a powerful case for re-engaging citizens. It highlights innovative grassroots projects and shows how local activists can form alliances and discover their own power to solve problems.
During the phases of mobile warfare, the ethnically and religiously very heterogeneous population in the border regions of the multi-ethnic empires suffered in particular. Even if the real military situation in the course of the war hardly gave cause for concern, the image of disloyal ethnic and national minorities was widespread. This was particularly the case when ethnic groups lived on both sides of the border and social and political tensions had already established themselves along ethnic or religious lines of conflict before the war. Displacements, deportations and mass violence were the result. The genocide of the Armenian population is the most extreme example of this development. This anthology examines the border regions of the Ottoman, Russian and Habsburg empires during the First World War with regard to radical population policy and genocidal violence from a comparative perspective in order to draw a more precise picture of escalating and deescalating factors.
Background
Although associations between cardiovascular diseases and cognitive impairment are well known, the impact of cognitive performance on the success of patient education as a core component of cardiac rehabilitation remains insufficiently investigated so far.
Design
Prospective observational study in two inpatient cardiac rehabilitation centres between September 2014 and August 2015 with a follow-up six months after cardiac rehabilitation.
Method
At admission to and discharge from cardiac rehabilitation, the cognitive performance of 401 patients (54.5 ± 6.3 years, 80% men) following an acute coronary syndrome and/or coronary artery bypass graft was tested using the Montreal Cognitive Assessment. Patients’ disease-related knowledge was determined using a quiz (22 items for medical knowledge and 12 items for healthy lifestyle and behaviour) at both times and at follow-up. The change in knowledge after cardiac rehabilitation was analysed in multivariable regression models. Potentially influencing parameters (e.g. level of education, medication, cardiovascular risk factors, coronary artery bypass graft, comorbidities, exercise capacity) were considered.
Results
During cardiac rehabilitation, disease-related knowledge was significantly enhanced in both scales. At follow-up, the average level of medical knowledge was significantly reduced, while lifestyle knowledge remained at a stable level. The maintenance of knowledge after cardiac rehabilitation was predominantly predicted by prior knowledge, cognitive performance at discharge from cardiac rehabilitation and, in the case of medical knowledge, by coronary artery bypass graft.
Conclusion
Patient education in cardiac rehabilitation led to enhanced disease-related knowledge, but the maintenance of this essentially depended on patients’ cognitive performance, especially after coronary artery bypass graft. Therefore, patient education concepts in cardiac rehabilitation should be reconsidered and adjusted as needed.
Trait emotional intelligence (TEI) is an important individual difference variable that is related to the quality of romantic relationships. The present study investigated the associations between TEI, dyadic coping, and relationship satisfaction. A convenience sample of N = 136 heterosexual couples was recruited online. When the actor-partner interdependence model was applied to the data, TEI showed a positive actor effect and a positive partner effect on relationship satisfaction. The actor effect and partner effect of TEI on relationship satisfaction were partially mediated through positive dyadic coping and common dyadic coping, respectively. A small total indirect actor effect was also found for negative dyadic coping. Controlling for potential content overlap between TEI and relationship satisfaction did not alter the results. However, removing variance from the TEI score that was shared with the Big Five trait factors attenuated TEI’s actor and partner effects on relationship satisfaction and rendered all but one actor effect for TEI on dyadic coping and all but one indirect effect nonsignificant. The results underline the importance of TEI for the quality of romantic relationships and they shed light on underlying mechanisms. Implications for theory, research, and applications in counseling contexts will be discussed.
Research synthesis on simple yet general hypotheses and ideas is challenging in scientific disciplines studying highly context-dependent systems such as medical, social, and biological sciences. This study shows that machine learning, equation-free statistical modeling of artificial intelligence, is a promising synthesis tool for discovering novel patterns and the source of controversy in a general hypothesis. We apply a decision tree algorithm, assuming that evidence from various contexts can be adequately integrated in a hierarchically nested structure. As a case study, we analyzed 163 articles that studied a prominent hypothesis in invasion biology, the enemy release hypothesis. We explored if any of the nine attributes that classify each study can differentiate conclusions as classification problem. Results corroborated that machine learning can be useful for research synthesis, as the algorithm could detect patterns that had been already focused in previous narrative reviews. Compared with the previous synthesis study that assessed the same evidence collection based on experts' judgement, the algorithm has newly proposed that the studies focusing on Asian regions mostly supported the hypothesis, suggesting that more detailed investigations in these regions can enhance our understanding of the hypothesis. We suggest that machine learning algorithms can be a promising synthesis tool especially where studies (a) reformulate a general hypothesis from different perspectives, (b) use different methods or variables, or (c) report insufficient information for conducting meta-analyses.