TY - JOUR A1 - Baumgart, Lene A1 - Boos, Pauline A1 - Braunsmann, Katharina T1 - A circulatory loop BT - the reciprocal relationship of organizations, digitalization, and gender JF - Social inclusion N2 - In the digitalization debate, gender biases in digital technologies play a significant role because of their potential for social exclusion and inequality. It is therefore remarkable that organizations as drivers of digitalization and as places for social integration have been widely overlooked so far. Simultaneously, gender biases and digitalization have structurally immanent connections to organizations. Therefore, a look at the reciprocal relationship between organizations, digitalization, and gender is needed. The article provides answers to the question of whether and how organizations (re)produce, reinforce, or diminish gender‐specific inequalities during their digital transformations. On the one hand, gender inequalities emerge when organizations use post‐bureaucratic concepts through digitalization. On the other hand, gender inequalities are reproduced when organizations either program or implement digital technologies and fail to establish control structures that prevent gender biases. This article shows that digitalization can act as a catalyst for inequality‐producing mechanisms, but also has the potential to mitigate inequalities. We argue that organizations must be considered when discussing the potential of exclusion through digitalization. KW - digitalization KW - gender bias KW - gender inequalities KW - organizations Y1 - 2023 U6 - https://doi.org/10.17645/si.v11i4.7056 SN - 2183-2803 VL - 11 IS - 4 SP - 160 EP - 171 PB - Cogitatio Press CY - Lisbon ER - TY - JOUR A1 - Mbebi, Alain J. A1 - Breitler, Jean-Christophe A1 - Bordeaux, M'elanie A1 - Sulpice, Ronan A1 - McHale, Marcus A1 - Tong, Hao A1 - Toniutti, Lucile A1 - Castillo, Jonny Alonso A1 - Bertrand, Benoit A1 - Nikoloski, Zoran T1 - A comparative analysis of genomic and phenomic predictions of growth-related traits in 3-way coffee hybrids JF - G3: Genes, genomes, genetics N2 - Genomic prediction has revolutionized crop breeding despite remaining issues of transferability of models to unseen environmental conditions and environments. Usage of endophenotypes rather than genomic markers leads to the possibility of building phenomic prediction models that can account, in part, for this challenge. Here, we compare and contrast genomic prediction and phenomic prediction models for 3 growth-related traits, namely, leaf count, tree height, and trunk diameter, from 2 coffee 3-way hybrid populations exposed to a series of treatment-inducing environmental conditions. The models are based on 7 different statistical methods built with genomic markers and ChlF data used as predictors. This comparative analysis demonstrates that the best-performing phenomic prediction models show higher predictability than the best genomic prediction models for the considered traits and environments in the vast majority of comparisons within 3-way hybrid populations. In addition, we show that phenomic prediction models are transferrable between conditions but to a lower extent between populations and we conclude that chlorophyll a fluorescence data can serve as alternative predictors in statistical models of coffee hybrid performance. Future directions will explore their combination with other endophenotypes to further improve the prediction of growth-related traits for crops. KW - genomic prediction KW - phenomic prediction KW - 3-way coffee hybrids KW - chlorophyll a fluorescence KW - GenPred KW - Shared Data Resource Y1 - 2022 U6 - https://doi.org/10.1093/g3journal/jkac170 SN - 2160-1836 VL - 12 IS - 9 PB - Genetics Soc. of America CY - Pittsburgh, PA ER - TY - JOUR A1 - Zoccarato, Luca A1 - Sher, Daniel A1 - Miki, Takeshi A1 - Segre, Daniel A1 - Grossart, Hans-Peter T1 - A comparative whole-genome approach identifies bacterial traits for marine microbial interactions JF - Communications biology N2 - Luca Zoccarato, Daniel Sher et al. leverage publicly available bacterial genomes from marine and other environments to examine traits underlying microbial interactions. Their results provide a valuable resource to investigate clusters of functional and linked traits to better understand marine bacteria community assembly and dynamics. Microbial interactions shape the structure and function of microbial communities with profound consequences for biogeochemical cycles and ecosystem health. Yet, most interaction mechanisms are studied only in model systems and their prevalence is unknown. To systematically explore the functional and interaction potential of sequenced marine bacteria, we developed a trait-based approach, and applied it to 473 complete genomes (248 genera), representing a substantial fraction of marine microbial communities. We identified genome functional clusters (GFCs) which group bacterial taxa with common ecology and life history. Most GFCs revealed unique combinations of interaction traits, including the production of siderophores (10% of genomes), phytohormones (3-8%) and different B vitamins (57-70%). Specific GFCs, comprising Alpha- and Gammaproteobacteria, displayed more interaction traits than expected by chance, and are thus predicted to preferentially interact synergistically and/or antagonistically with bacteria and phytoplankton. Linked trait clusters (LTCs) identify traits that may have evolved to act together (e.g., secretion systems, nitrogen metabolism regulation and B vitamin transporters), providing testable hypotheses for complex mechanisms of microbial interactions. Our approach translates multidimensional genomic information into an atlas of marine bacteria and their putative functions, relevant for understanding the fundamental rules that govern community assembly and dynamics. Y1 - 2022 U6 - https://doi.org/10.1038/s42003-022-03184-4 SN - 2399-3642 VL - 5 IS - 1 PB - Springer Nature CY - Berlin ER - TY - JOUR A1 - Macdonald, Elena A1 - Otero, Noelia A1 - Butler, Tim T1 - A comparison of long-term trends in observations and emission inventories of NOx JF - Atmospheric chemistry and physics / European Geosciences Union N2 - Air pollution is a pressing issue that is associated with adverse effects on human health, ecosystems, and climate. Despite many years of effort to improve air quality, nitrogen dioxide (NO2) limit values are still regularly exceeded in Europe, particularly in cities and along streets. This study explores how concentrations of nitrogen oxides (NOx = NO + NO2) in European urban areas have changed over the last decades and how this relates to changes in emissions. To do so, the incremental approach was used, comparing urban increments (i.e. urban background minus rural concentrations) to total emissions, and roadside increments (i.e. urban roadside concentrations minus urban background concentrations) to traffic emissions. In total, nine European cities were assessed. The study revealed that potentially confounding factors like the impact of urban pollution at rural monitoring sites through atmospheric transport are generally negligible for NOx. The approach proves therefore particularly useful for this pollutant. The estimated urban increments all showed downward trends, and for the majority of the cities the trends aligned well with the total emissions. However, it was found that factors like a very densely populated surrounding or local emission sources in the rural area such as shipping traffic on inland waterways restrict the application of the approach for some cities. The roadside increments showed an overall very diverse picture in their absolute values and trends and also in their relation to traffic emissions. This variability and the discrepancies between roadside increments and emissions could be attributed to a combination of local influencing factors at the street level and different aspects introducing inaccuracies to the trends of the emis-sion inventories used, including deficient emission factors. Applying the incremental approach was evaluated as useful for long-term pan-European studies, but at the same time it was found to be restricted to certain regions and cities due to data availability issues. The results also highlight that using emission inventories for the prediction of future health impacts and compliance with limit values needs to consider the distinct variability in the concentrations not only across but also within cities. Y1 - 2021 U6 - https://doi.org/10.5194/acp-21-4007-2021 SN - 1680-7316 SN - 1680-7324 VL - 21 IS - 5 SP - 4007 EP - 4023 PB - Copernicus CY - Göttingen ER - TY - JOUR A1 - Mota, Simon A1 - Leckelt, Marius A1 - Geukes, Katharina A1 - Nestler, Steffen A1 - Humberg, Sarah A1 - Schröder-Abe, Michela A1 - Schmukle, Stefan C. A1 - Back, Mitja D. T1 - A comprehensive examination of narcissists’ self-perceived and actual socioemotional cognition ability JF - Collabra: Psychology N2 - Narcissists are assumed to lack the motivation and ability to share and understand the mental states of others. Prior empirical research, however, has yielded inconclusive findings and has differed with respect to the specific aspects of narcissism and socioemotional cognition that have been examined. Here, we propose a differentiated facet approach that can be applied across research traditions and that distinguishes between facets of narcissism (agentic vs. antagonistic) on the one hand, and facets of socioemotional cognition ability (SECA; self-perceived vs. actual) on the other. Using five nonclinical samples in two studies (total N = 602), we investigated the effect of facets of grandiose narcissism on aspects of socioemotional cognition across measures of affective and cognitive empathy, Theory of Mind, and emotional intelligence, while also controlling for general reasoning ability. Across both studies, agentic facets of narcissism were found to be positively related to perceived SECA, whereas antagonistic facets of narcissism were found to be negatively related to perceived SECA. However, both narcissism facets were negatively related to actual SECA. Exploratory condition-based regression analyses further showed that agentic narcissists had a higher directed discrepancy between perceived and actual SECA: They self-enhanced their socio-emotional capacities. Implications of these results for the multifaceted theoretical understanding of the narcissism-SECA link are discussed. KW - narcissism KW - socioemotional cognition KW - self-perceived ability KW - actual ability KW - empathy KW - emotional intelligence KW - self-enhancement Y1 - 2018 U6 - https://doi.org/10.1525/collabra.174 SN - 2474-7394 VL - 5 IS - 1 PB - University of California Press CY - Oakland ER - TY - JOUR A1 - Stauffer, Maxime A1 - Mengesha, Isaak A1 - Seifert, Konrad A1 - Krawczuk, Igor A1 - Fischer, Jens A1 - Serugendo, Giovanna Di Marzo T1 - A computational turn in policy process studies BT - coevolving network dynamics of policy change JF - Complexity N2 - The past three decades of policy process studies have seen the emergence of a clear intellectual lineage with regard to complexity. Implicitly or explicitly, scholars have employed complexity theory to examine the intricate dynamics of collective action in political contexts. However, the methodological counterparts to complexity theory, such as computational methods, are rarely used and, even if they are, they are often detached from established policy process theory. Building on a critical review of the application of complexity theory to policy process studies, we present and implement a baseline model of policy processes using the logic of coevolving networks. Our model suggests that an actor's influence depends on their environment and on exogenous events facilitating dialogue and consensus-building. Our results validate previous opinion dynamics models and generate novel patterns. Our discussion provides ground for further research and outlines the path for the field to achieve a computational turn. Y1 - 2022 U6 - https://doi.org/10.1155/2022/8210732 SN - 1076-2787 SN - 1099-0526 VL - 2022 PB - Wiley-Hindawi CY - London ER - TY - JOUR A1 - Chapman, Eric M. A1 - Lant, Benjamin A1 - Ohashi, Yota A1 - Yu, Bin A1 - Schertzberg, Michael A1 - Go, Christopher A1 - Dogra, Deepika A1 - Koskimaki, Janne A1 - Girard, Romuald A1 - Li, Yan A1 - Fraser, Andrew G. A1 - Awad, Issam A. A1 - Abdelilah-Seyfried, Salim A1 - Gingras, Anne-Claude A1 - Derry, William Brent T1 - A conserved CCM complex promotes apoptosis non-autonomously by regulating zinc homeostasis JF - Nature Communications N2 - Apoptotic death of cells damaged by genotoxic stress requires regulatory input from surrounding tissues. The C. elegans scaffold protein KRI-1, ortholog of mammalian KRIT1/CCM1, permits DNA damage-induced apoptosis of cells in the germline by an unknown cell non-autonomous mechanism. We reveal that KRI-1 exists in a complex with CCM-2 in the intestine to negatively regulate the ERK-5/MAPK pathway. This allows the KLF-3 transcription factor to facilitate expression of the SLC39 zinc transporter gene zipt-2.3, which functions to sequester zinc in the intestine. Ablation of KRI-1 results in reduced zinc sequestration in the intestine, inhibition of IR-induced MPK-1/ERK1 activation, and apoptosis in the germline. Zinc localization is also perturbed in the vasculature of krit1(-/-) zebrafish, and SLC39 zinc transporters are mis-expressed in Cerebral Cavernous Malformations (CCM) patient tissues. This study provides new insights into the regulation of apoptosis by cross-tissue communication, and suggests a link between zinc localization and CCM disease. Y1 - 2019 U6 - https://doi.org/10.1038/s41467-019-09829-z SN - 2041-1723 VL - 10 PB - Nature Publ. Group CY - London ER - TY - JOUR A1 - Brill, Fabio Alexander A1 - Passuni Pineda, Silvia A1 - Espichan Cuya, Bruno A1 - Kreibich, Heidi T1 - A data-mining approach towards damage modelling for El Nino events in Peru JF - Geomatics, natural hazards and risk N2 - Compound natural hazards likeEl Ninoevents cause high damage to society, which to manage requires reliable risk assessments. Damage modelling is a prerequisite for quantitative risk estimations, yet many procedures still rely on expert knowledge, and empirical studies investigating damage from compound natural hazards hardly exist. A nationwide building survey in Peru after theEl Ninoevent 2017 - which caused intense rainfall, ponding water, flash floods and landslides - enables us to apply data-mining methods for statistical groundwork, using explanatory features generated from remote sensing products and open data. We separate regions of different dominant characteristics through unsupervised clustering, and investigate feature importance rankings for classifying damage via supervised machine learning. Besides the expected effect of precipitation, the classification algorithms select the topographic wetness index as most important feature, especially in low elevation areas. The slope length and steepness factor ranks high for mountains and canyons. Partial dependence plots further hint at amplified vulnerability in rural areas. An example of an empirical damage probability map, developed with a random forest model, is provided to demonstrate the technical feasibility. KW - Natural hazard KW - damage model KW - residential buildings KW - data-mining KW - remote KW - sensing KW - open data Y1 - 2020 U6 - https://doi.org/10.1080/19475705.2020.1818636 SN - 1947-5705 SN - 1947-5713 VL - 11 IS - 1 SP - 1966 EP - 1990 PB - Routledge, Taylor & Francis Group CY - Abingdon ER - TY - JOUR A1 - Demal, Till Joscha A1 - Heise, Melina A1 - Reiz, Benedikt A1 - Dogra, Deepika A1 - Braenne, Ingrid A1 - Reichenspurner, Hermann A1 - Männer, Jörg A1 - Aherrahrou, Zouhair A1 - Schunkert, Heribert A1 - Erdmann, Jeanette A1 - Abdelilah-Seyfried, Salim T1 - A familial congenital heart disease with a possible multigenic origin involving a mutation in BMPR1A JF - Scientific reports N2 - The genetics of many congenital heart diseases (CHDs) can only unsatisfactorily be explained by known chromosomal or Mendelian syndromes. Here, we present sequencing data of a family with a potentially multigenic origin of CHD. Twelve of nineteen family members carry a familial mutation [NM_004329.2:c.1328 G > A (p.R443H)] which encodes a predicted deleterious variant of BMPR1A. This mutation co-segregates with a linkage region on chromosome 1 that associates with the emergence of severe CHDs including Ebstein’s anomaly, atrioventricular septal defect, and others. We show that the continuous overexpression of the zebrafish homologous mutation bmpr1aap.R438H within endocardium causes a reduced AV valve area, a downregulation of Wnt/ß-catenin signalling at the AV canal, and growth of additional tissue mass in adult zebrafish hearts. This finding opens the possibility of testing genetic interactions between BMPR1A and other candidate genes within linkage region 1 which may provide a first step towards unravelling more complex genetic patterns in cardiovascular disease aetiology. Y1 - 2019 U6 - https://doi.org/10.1038/s41598-019-39648-7 SN - 2045-2322 VL - 9 PB - Nature Publ. Group CY - London ER - TY - JOUR A1 - Xiao, Shangbin A1 - Liu, Liu A1 - Wang, Wei A1 - Lorke, Andreas A1 - Woodhouse, Jason Nicholas A1 - Grossart, Hans-Peter T1 - A Fast-Response Automated Gas Equilibrator (FaRAGE) for continuous in situ measurement of CH4 and CO2 dissolved in water JF - Hydrology and earth system sciences : HESS N2 - Biogenic greenhouse gas emissions, e.g., of methane (CH4) and carbon dioxide (CO2) from inland waters, contribute substantially to global warming. In aquatic systems, dissolved greenhouse gases are highly heterogeneous in both space and time. To better understand the biological and physical processes that affect sources and sinks of both CH4 and CO2, their dissolved concentrations need to be measured with high spatial and temporal resolution. To achieve this goal, we developed the Fast-Response Automated Gas Equilibrator (FaRAGE) for real-time in situ measurement of dissolved CH4 and CO2 concentrations at the water surface and in the water column. FaRAGE can achieve an exceptionally short response time (t(95%) = 12 s when including the response time of the gas analyzer) while retaining an equilibration ratio of 62.6% and a measurement accuracy of 0.5% for CH4. A similar performance was observed for dissolved CO2 (t(95%) = 10 s, equilibration ratio 67.1 %). An equilibration ratio as high as 91.8% can be reached at the cost of a slightly increased response time (16 s). The FaRAGE is capable of continuously measuring dissolved CO2 and CH4 concentrations in the nM-to-submM (10(-9)-10(-3) mol L-1) range with a detection limit of subnM (10(-10) mol L-1), when coupling with a cavity ring-down greenhouse gas analyzer (Picarro GasScouter). FaRAGE allows for the possibility of mapping dissolved concentration in a "quasi" three-dimensional manner in lakes and provides an inexpensive alternative to other commercial gas equilibrators. It is simple to operate and suitable for continuous monitoring with a strong tolerance for suspended particles. While the FaRAGE is developed for inland waters, it can be also applied to ocean waters by tuning the gas-water mixing ratio. The FaRAGE is easily adapted to suit other gas analyzers expanding the range of potential applications, including nitrous oxide and isotopic composition of the gases. Y1 - 2020 U6 - https://doi.org/10.5194/hess-24-3871-2020 SN - 1027-5606 SN - 1607-7938 VL - 24 IS - 7 SP - 3871 EP - 3880 PB - European Geosciences Union (EGU) ; Copernicus CY - Munich ER -