TY - JOUR A1 - Warschburger, Petra A1 - Gmeiner, Michaela Silvia A1 - Bondü, Rebecca A1 - Klein, Alexandra-Maria A1 - Busching, Robert A1 - Elsner, Birgit T1 - Self-regulation as a resource for coping with developmental challenges during middle childhood and adolescence BT - the prospective longitudinal PIER YOUTH-study JF - BMC Psychology N2 - Background Self-regulation (SR) as the ability to regulate one's own physical state, emotions, cognitions, and behavior, is considered to play a pivotal role in the concurrent and subsequent mental and physical health of an individual. Although SR skills encompass numerous sub-facets, previous research has often focused on only one or a few of these sub-facets, and only rarely on adolescence. Therefore, little is known about the development of the sub-facets, their interplay, and their specific contributions to future developmental outcomes, particularly in adolescence. To fill these research gaps, this study aims to prospectively examine (1) the development of SR and (2) their influence on adolescent-specific developmental outcomes in a large community sample. Methods/design Based on previously collected data from the Potsdam Intrapersonal Developmental Risk (PIER) study with three measurement points, the present prospective, longitudinal study aims to add a fourth measurement point (PIERYOUTH). We aim to retain at least 1074 participants now between 16 and 23 years of the initially 1657 participants (6-11 years of age at the first measurement point in 2012/2013; 52.2% female). The study will continue to follow a multi-method (questionnaires, physiological assessments, performance-based computer tasks), multi-facet (assessing various domains of SR), and multi-rater (self-, parent-, and teacher-report) approach. In addition, a broad range of adolescent-specific developmental outcomes is considered. In doing so, we will cover the development of SR and relevant outcomes over the period of 10 years. In addition, we intend to conduct a fifth measurement point (given prolonged funding) to investigate development up to young adulthood. Discussion With its broad and multimethodological approach, PIERYOUTH aims to contribute to a deeper understanding of the development and role of various SR sub-facets from middle childhood to adolescence. The large sample size and low drop-out rates in the first three measurements points form a sound database for our present prospective research.Trial registration German Clinical Trials Register, registration number DRKS00030847. KW - Self-regulation KW - Adolescence KW - Prospective longitudinal study KW - Mental health Y1 - 2023 U6 - https://doi.org/10.1186/s40359-023-01140-3 SN - 2050-7283 VL - 11 IS - 1 PB - Springer Nature CY - London ER - TY - JOUR A1 - Hagemann, Linus A1 - Abramova, Olga T1 - Sentiment, we-talk and engagement on social media BT - insights from Twitter data mining on the US presidential elections 2020 JF - Internet research N2 - Purpose Given inconsistent results in prior studies, this paper applies the dual process theory to investigate what social media messages yield audience engagement during a political event. It tests how affective cues (emotional valence, intensity and collective self-representation) and cognitive cues (insight, causation, certainty and discrepancy) contribute to public engagement. Design/methodology/approach The authors created a dataset of more than three million tweets during the 2020 United States (US) presidential elections. Affective and cognitive cues were assessed via sentiment analysis. The hypotheses were tested in negative binomial regressions. The authors also scrutinized a subsample of far-famed Twitter users. The final dataset, scraping code, preprocessing and analysis are available in an open repository. Findings The authors found the prominence of both affective and cognitive cues. For the overall sample, negativity bias was registered, and the tweet’s emotionality was negatively related to engagement. In contrast, in the sub-sample of tweets from famous users, emotionally charged content produced higher engagement. The role of sentiment decreases when the number of followers grows and ultimately becomes insignificant for Twitter participants with many followers. Collective self-representation (“we-talk”) is consistently associated with more likes, comments and retweets in the overall sample and subsamples. Originality/value The authors expand the dominating one-sided perspective to social media message processing focused on the peripheral route and hence affective cues. Leaning on the dual process theory, the authors shed light on the effectiveness of both affective (peripheral route) and cognitive (central route) cues on information appeal and dissemination on Twitter during a political event. The popularity of the tweet’s author moderates these relationships. KW - social media KW - engagement KW - data mining KW - big data Y1 - 2023 U6 - https://doi.org/10.1108/INTR-12-2021-0885 SN - 1066-2243 VL - 33 IS - 6 SP - 2058 EP - 2085 PB - Emeral CY - Bingley ER - TY - JOUR A1 - Bürger, Gerd A1 - Heistermann, Maik T1 - Shallow and deep learning of extreme rainfall events from convective atmospheres JF - Natural hazards and earth system sciences : NHESS N2 - Our subject is a new catalogue of radar-based heavy rainfall events (CatRaRE) over Germany and how it relates to the concurrent atmospheric circulation. We classify daily ERA5 fields of convective indices according to CatRaRE, using an array of 13 statistical methods, consisting of 4 conventional (“shallow”) and 9 more recent deep machine learning (DL) algorithms; the classifiers are then applied to corresponding fields of simulated present and future atmospheres from the Coordinated Regional Climate Downscaling Experiment (CORDEX) project. The inherent uncertainty of the DL results from the stochastic nature of their optimization is addressed by employing an ensemble approach using 20 runs for each network. The shallow random forest method performs best with an equitable threat score (ETS) around 0.52, followed by the DL networks ALL-CNN and ResNet with an ETS near 0.48. Their success can be understood as a result of conceptual simplicity and parametric parsimony, which obviously best fits the relatively simple classification task. It is found that, on summer days, CatRaRE convective atmospheres over Germany occur with a probability of about 0.5. This probability is projected to increase, regardless of method, both in ERA5-reanalyzed and CORDEX-simulated atmospheres: for the historical period we find a centennial increase of about 0.2 and for the future period one of slightly below 0.1. Y1 - 2023 U6 - https://doi.org/10.5194/nhess-23-3065-2023 SN - 1561-8633 SN - 1684-9981 VL - 23 IS - 9 SP - 3065 EP - 3077 PB - European Geophysical Society CY - Katlenburg-Lindau ER - TY - JOUR A1 - Krause, Werner A1 - Gahn, Christina T1 - Should we include margins of error in public opinion polls? JF - European journal of political research N2 - Public opinion polls have become vital and increasingly visible parts of election campaigns. Previous research has frequently demonstrated that polls can influence both citizens' voting intentions and political parties' campaign strategies. However, they are also fraught with uncertainty. Margins of error can reflect (parts of) this uncertainty. This paper investigates how citizens' voting intentions change due to whether polling estimates are presented with or without margins of error. Using a vignette experiment (N=3224), we examine this question based on a real-world example in which different election polls were shown to nationally representative respondents ahead of the 2021 federal election in Germany. We manipulated the display of the margins of error, the interpretation of polls and the closeness of the electoral race. The results indicate that margins of error can influence citizens' voting intentions. This effect is dependent on the actual closeness of the race and additional interpretative guidance provided to voters. More concretely, the results consistently show that margins of error increase citizens' inclination to vote for one of the two largest contesting parties if the polling gap between these parties is small, and an interpretation underlines this closeness. The findings of this study are important for three reasons. First, they help to determine whether margins of error can assist citizens in making more informed (strategic) vote decisions. They shed light on whether depicting opinion-poll uncertainty affects the key features of representative democracy, such as democratic accountability. Second, the results stress the responsibility of the media. The way polls are interpreted and contextualized influences the effect of margins of error on voting behaviour. Third, the findings of this paper underscore the significance of including methodological details when communicating scientific research findings to the broader public. KW - elections KW - vote choice KW - public opinion polls KW - margins of error Y1 - 2023 U6 - https://doi.org/10.1111/1475-6765.12633 SN - 0304-4130 SN - 1475-6765 VL - Early view PB - Wiley-Blackwell CY - Oxford ER - TY - JOUR A1 - Ferreira, Clara Mendes A1 - Dammhahn, Melanie A1 - Eccard, Jana T1 - So many choices, so little time BT - food preference and movement vary with the landscape of fear JF - Ecology and evolution N2 - Spatial and temporal variation in perceived predation risk is an important determinant of movement and foraging activity of animals. Foraging in this landscape of fear, individuals need to decide where and when to move, and what resources to choose. Foraging theory predicts the outcome of these decisions based on energetic trade-offs, but complex interactions between perceived predation risk and preferences of foragers for certain functional traits of their resources are rarely considered. Here, we studied the interactive effects of perceived predation risk on food trait preferences and foraging behavior in bank voles (Myodes glareolus) in experimental landscapes. Individuals (n = 19) were subjected for periods of 24 h to two extreme, risk-uniform landscapes (either risky or safe), containing 25 discrete food patches, filled with seeds of four plant species in even amounts. Seeds varied in functional traits: size, nutrients, and shape. We evaluated whether and how risk modifies forager preference for functional traits. We also investigated whether perceived risk and distance from shelter affected giving-up density (GUD), time in patches, and number of patch visits. In safe landscapes, individuals increased time spent in patches, lowered GUD and visited distant patches more often compared to risky landscapes. Individuals preferred bigger seeds independent of risk, but in the safe treatment they preferred fat-rich over carb-rich seeds. Thus, higher densities of resource levels remained in risky landscapes, while in safe landscapes resource density was lower and less diverse due to selective foraging. Our results suggest that the interaction of perceived risk and dietary preference adds an additional layer to the cascading effects of a landscape of fear which affects biodiversity at resource level. KW - foraging behavior KW - functional traits KW - giving-up density KW - myodes glareolus KW - perceived predation risk KW - seed ecology Y1 - 2023 U6 - https://doi.org/10.1002/ece3.10330 SN - 2045-7758 VL - 13 IS - 7 PB - Wiley CY - Hoboken ER - TY - JOUR A1 - Fischer-Preßler, Diana A1 - Marx, Julian A1 - Bunker, Deborah A1 - Stieglitz, Stefan A1 - Fischbach, Kai T1 - Social media information governance in multi-level organizations BT - how humanitarian organizations accrue social capital JF - Information and management N2 - Strategic social media use positively influences organizational goals such as the long-term accrual of social capital, and thus social media information governance has become an increasingly important organizational objective. It is particularly important for humanitarian nongovernmental organizations (HNGOs), whose work relies on accurate and timely information regarding socially altruistic behavior (donations, volunteerism, etc.). Despite the potential of social media for increasing social capital, tensions in governing social media information across an organization's different operational levels (regional, intermediate, and national) pose a difficult challenge. Prominent governance frameworks offer little guidance, as their focus on control and incremental policymaking is largely incompatible with the processes, roles, standards, and metrics needed for managing self-governing social media. This study offers a notion of dynamic and co-evolutionary process management of multi-level organizations as a means of conceptualizing social media information governance for the accrual of organizational social capital. Based on interviews with members of HNGOs, this study reveals tensions that emerge within eight focus areas of accruing social capital in multi-level organizations, explains how dynamic process management can ease those tensions, and proposes corresponding strategy recommendations. KW - social media KW - social capital KW - information governance KW - dynamic and co-evolutionary process management Y1 - 2023 U6 - https://doi.org/10.1016/j.im.2023.103838 SN - 0378-7206 SN - 1872-7530 VL - 60 IS - 7 SP - 1 EP - 18 PB - Elsevier Science CY - Amsterdam ER - TY - JOUR A1 - Matiaske, Wenzel A1 - Schmidt, Torben Dall A1 - Halbmeier, Christoph A1 - Maas, Martina A1 - Holtmann, Doris A1 - Schröder, Carsten A1 - Böhm, Tamara A1 - Liebig, Stefan A1 - Kritikos, Alexander T1 - SOEP-LEE2 BT - linking surveys on employees to employers in Germany JF - Jahrbücher für Nationalökonomie und Statistik N2 - This article presents the new linked employee-employer study of the Socio-Economic Panel (SOEP-LEE2), which offers new research opportunities for various academic fields. In particular, the study contains two waves of an employer survey for persons in dependent work that is also linkable to the SOEP, a large representative German annual household panel (SOEP-LEE2-Core). Moreover, SOEP-LEE2 includes two waves of self-employed surveys based on self-employed in the SOEP-Core (SOEP-LEE2-Self-employed) and three additional representative employer surveys, independent of the SOEP in terms of sampling employers (SOEP-LEE2-Compare). Survey topics include digitalisation and cybersecurity, human capital formation, COVID-19, and human resource management. Here, we describe the content, survey design, and comparability of the different datasets in the SOEP-LEE2 to potential users in different disciplines of research. KW - employment relations KW - human resource management KW - linked employee- employer data KW - SOEP KW - SOEP-LEE2 KW - survey design Y1 - 2023 U6 - https://doi.org/10.1515/jbnst-2023-0031 SN - 0021-4027 SN - 2366-049X VL - 243 PB - De Gruyter Oldenbourg CY - Berlin ER - TY - JOUR A1 - Gerlach, Moritz A1 - Glück, Jochen A1 - Kunze, Markus T1 - Stability of transition semigroups and applications to parabolic equations JF - Transactions of the American Mathematical Society N2 - This paper deals with the long-term behavior of positive operator semigroups on spaces of bounded functions and of signed measures, which have applications to parabolic equations with unbounded coefficients and to stochas-tic analysis. The main results are a Tauberian type theorem characterizing the convergence to equilibrium of strongly Feller semigroups and a generalization of a classical convergence theorem of Doob. None of these results requires any kind of time regularity of the semigroup. KW - Transition probabilities KW - strong Feller property KW - asymptotic KW - behavior KW - invariant measure KW - parabolic equations Y1 - 2023 U6 - https://doi.org/10.1090/tran/8620 SN - 0002-9947 SN - 1088-6850 VL - 376 IS - 1 SP - 153 EP - 180 PB - American Mathematical Soc. CY - Providence ER - TY - JOUR A1 - Merfort, Leon A1 - Bauer, Nico A1 - Humpenöder, Florian A1 - Klein, David A1 - Strefler, Jessica A1 - Popp, Alexander A1 - Luderer, Gunnar A1 - Kriegler, Elmar T1 - State of global land regulation inadequate to control biofuel land-use-change emissions JF - Nature climate change N2 - Under current land-use regulation, carbon dioxide emissions from biofuel production exceed those from fossil diesel combustion. Therefore, international agreements need to ensure the effective and globally comprehensive protection of natural land before modern bioenergy can effectively contribute to achieving carbon neutrality. KW - agriculture KW - climate-change mitigation KW - energy policy KW - energy supply and demand KW - environmental economics Y1 - 2023 U6 - https://doi.org/10.1038/s41558-023-01711-7 SN - 1758-678X SN - 1758-6798 VL - 13 IS - 7 SP - 610 EP - 612 PB - Nature Publ. Group CY - London ER - TY - JOUR A1 - Klose, Tim A1 - Guillemoteau, Julien A1 - Vignoli, Giulio A1 - Walter, Judith A1 - Herrmann, Andreas A1 - Tronicke, Jens T1 - Structurally constrained inversion by means of a Minimum Gradient Support regularizer: examples of FD-EMI data inversion constrained by GPR reflection data JF - Geophysical journal international N2 - Many geophysical inverse problems are known to be ill-posed and, thus, requiring some kind of regularization in order to provide a unique and stable solution. A possible approach to overcome the inversion ill-posedness consists in constraining the position of the model interfaces. For a grid-based parameterization, such a structurally constrained inversion can be implemented by adopting the usual smooth regularization scheme in which the local weight of the regularization is reduced where an interface is expected. By doing so, sharp contrasts are promoted at interface locations while standard smoothness constraints keep affecting the other regions of the model. In this work, we present a structurally constrained approach and test it on the inversion of frequency-domain electromagnetic induction (FD-EMI) data using a regularization approach based on the Minimum Gradient Support stabilizer, which is capable to promote sharp transitions everywhere in the model, i.e., also in areas where no structural a prioriinformation is available. Using 1D and 2D synthetic data examples, we compare the proposed approach to a structurally constrained smooth inversion as well as to more standard (i.e., not structurally constrained) smooth and sharp inversions. Our results demonstrate that the proposed approach helps in finding a better and more reliable reconstruction of the subsurface electrical conductivity distribution, including its structural characteristics. Furthermore, we demonstrate that it allows to promote sharp parameter variations in areas where no structural information are available. Lastly, we apply our structurally constrained scheme to FD-EMI field data collected at a field site in Eastern Germany to image the thickness of peat deposits along two selected profiles. In this field example, we use collocated constant offset ground-penetrating radar (GPR) data to derive structural a priori information to constrain the inversion of the FD-EMI data. The results of this case study demonstrate the effectiveness and flexibility of the proposed approach. KW - Controlled source electromagnetics (CSEM) KW - Inverse theory KW - Electrical properties KW - Ground penetrating radar KW - Frequency Domain Electromagnetics KW - Inversion Y1 - 2023 U6 - https://doi.org/10.1093/gji/ggad041 SN - 0956-540X SN - 1365-246X VL - 233 IS - 3 SP - 1938 EP - 1949 PB - Oxford Univ. Press CY - Oxford ER -