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Environmental monitoring involves the quantification of microscopic cells and particles such as algae, plant cells, pollen, or fungal spores. Traditional methods using conventional microscopy require expert knowledge, are time-intensive and not well-suited for automated high throughput. Multispectral imaging flow cytometry (MIFC) allows measurement of up to 5000 particles per second from a fluid suspension and can simultaneously capture up to 12 images of every single particle for brightfield and different spectral ranges, with up to 60x magnification. The high throughput of MIFC has high potential for increasing the amount and accuracy of environmental monitoring, such as for plant-pollinator interactions, fossil samples, air, water or food quality that currently rely on manual microscopic methods. Automated recognition of particles and cells is also possible, when MIFC is combined with deep-learning computational techniques. Furthermore, various fluorescence dyes can be used to stain specific parts of the cell to highlight physiological and chemical features including: vitality of pollen or algae, allergen content of individual pollen, surface chemical composition (carbohydrate coating) of cells, DNA- or enzyme-activity staining. Here, we outline the great potential for MIFC in environmental research for a variety of research fields and focal organisms. In addition, we provide best practice recommendations.
The immense advances in computer power achieved in the last decades have had a significant impact in Earth science, providing valuable research outputs that allow the simulation of complex natural processes and systems, and generating improved forecasts. The development and implementation of innovative geoscientific software is currently evolving towards a sustainable and efficient development by integrating models of different aspects of the Earth system. This will set the foundation for a future digital twin of the Earth. The codification and update of this software require great effort from research groups and therefore, it needs to be preserved for its reuse by future generations of geoscientists. Here, we report on Geo-Soft-CoRe, a Geoscientific Software & Code Repository, hosted at the archive DIGITAL.CSIC. This is an open source, multidisciplinary and multiscale collection of software and code developed to analyze different aspects of the Earth system, encompassing tools to: 1) analyze climate variability; 2) assess hazards, and 3) characterize the structure and dynamics of the solid Earth. Due to the broad range of applications of these software packages, this collection is useful not only for basic research in Earth science, but also for applied research and educational purposes, reducing the gap between the geosciences and the society. By providing each software and code with a permanent identifier (DOI), we ensure its self-sustainability and accomplish the FAIR (Findable, Accessible, Interoperable and Reusable) principles. Therefore, we aim for a more transparent science, transferring knowledge in an easier way to the geoscience community, and encouraging an integrated use of computational infrastructure.
Crop model intercomparison studies have mostly focused on the assessment of predictive capabilities for crop development using weather and basic soil data from the same location. Still challenging is the model performance when considering complex interrelations between soil and crop dynamics under a changing climate. The objective of this study was to test the agronomic crop and environmental flux-related performance of a set of crop models. The aim was to predict weighing lysimeter-based crop (i.e., agronomic) and water-related flux or state data (i.e., environmental) obtained for the same soil monoliths that were taken from their original environment and translocated to regions with different climatic conditions, after model calibration at the original site. Eleven models were deployed in the study. The lysimeter data (2014-2018) were from the Dedelow (Dd), Bad Lauchstadt (BL), and Selhausen (Se) sites of the TERENO (TERrestrial ENvironmental Observatories) SOILCan network. Soil monoliths from Dd were transferred to the drier and warmer BL site and the wetter and warmer Se site, which allowed a comparison of similar soil and crop under varying climatic conditions. The model parameters were calibrated using an identical set of crop- and soil-related data from Dd. Environmental fluxes and crop growth of Dd soil were predicted for conditions at BL and Se sites using the calibrated models. The comparison of predicted and measured data of Dd lysimeters at BL and Se revealed differences among models. At site BL, the crop models predicted agronomic and environmental components similarly well. Model performance values indicate that the environmental components at site Se were better predicted than agronomic ones. The multi-model mean was for most observations the better predictor compared with those of individual models. For Se site conditions, crop models failed to predict site-specific crop development indicating that climatic conditions (i.e., heat stress) were outside the range of variation in the data sets considered for model calibration. For improving predictive ability of crop models (i.e., productivity and fluxes), more attention should be paid to soil-related data (i.e., water fluxes and system states) when simulating soil-crop-climate interrelations in changing climatic conditions.
Metabolic alterations precede cardiometabolic disease onset. Here we present ceramide- and dihydroceramide-profiling data from a nested case-cohort (type 2 diabetes [T2D, n = 775]; cardiovascular disease [CVD, n = 551]; random subcohort [n = 1137]) in the prospective EPIC-Potsdam study. We apply the novel NetCoupler-algorithm to link a data-driven (dihydro)ceramide network to T2D and CVD risk. Controlling for confounding by other (dihydro)ceramides, ceramides C18:0 and C22:0 and dihydroceramides C20:0 and C22:2 are associated with higher and ceramide C20:0 and dihydroceramide C26:1 with lower T2D risk. Ceramide C16:0 and dihydroceramide C22:2 are associated with higher CVD risk. Genome-wide association studies and Mendelian randomization analyses support a role of ceramide C22:0 in T2D etiology. Our results also suggest that (dh)ceramides partly mediate the putative adverse effect of high red meat consumption and benefits of coffee consumption on T2D risk. Thus, (dihydro)ceramides may play a critical role in linking genetic predisposition and dietary habits to cardiometabolic disease risk.
“Ick bin een Berlina”
(2024)
Background: Robots are increasingly used as interaction partners with humans. Social robots are designed to follow expected behavioral norms when engaging with humans and are available with different voices and even accents. Some studies suggest that people prefer robots to speak in the user’s dialect, while others indicate a preference for different dialects.
Methods: Our study examined the impact of the Berlin dialect on perceived trustworthiness and competence of a robot. One hundred and twenty German native speakers (Mage = 32 years, SD = 12 years) watched an online video featuring a NAO robot speaking either in the Berlin dialect or standard German and assessed its trustworthiness and competence.
Results: We found a positive relationship between participants’ self-reported Berlin dialect proficiency and trustworthiness in the dialect-speaking robot. Only when controlled for demographic factors, there was a positive association between participants’ dialect proficiency, dialect performance and their assessment of robot’s competence for the standard German-speaking robot. Participants’ age, gender, length of residency in Berlin, and device used to respond also influenced assessments. Finally, the robot’s competence positively predicted its trustworthiness.
Discussion: Our results inform the design of social robots and emphasize the importance of device control in online experiments.
Germany’s relatively stable party system faces a new left-authoritarian challenger: Sahra Wagenknecht’s Bündnis Sahra Wagenknecht (BSW) party. First polls indicate that for the BSW, election results above 10% are within reach. While Wagenknecht’s positions in economic and cultural terms have already been discussed, this article elaborates on another highly relevant feature of Wagenknecht, namely her populist communication. Exploring Wagenknecht’s and BSW’s populist appeal helps us to understand why the party is said to also have potential among seemingly different voter groups coming from the far right Alternative for Germany (AfD) and far left Die Linke, which share high levels of populist attitudes. To analyse the role that populist communication plays for Wagenknecht and the BSW, this article combines quantitative and qualitative methods. The quantitative analysis covers all speeches (10,000) and press releases (19,000) published by Die Linke members of Parliament (MPs; 2005–2023). The results show that Wagenknecht is the (former) Die Linke MP with the highest share of populist communication. Furthermore, she was also able to convince a group of populist MPs to join the BSW. The article closes with a qualitative analysis of BSW’s manifesto that reveals how populist framing plays a major role in this document, in which the political and economic elites are accused of working against the interest of “the majority”. Based on this analysis, the classification of the BSW as a populist party seems to be appropriate.
We use worldwide gridded satellite data to analyse how population size and density affect urban PM 2.5 pollution. We find that more populated and denser grid cells are more exposed to pollution. However, across urban areas, exposure increases with cities’ population size but decreases with density. Moreover, the population effect is driven mostly by population commuting to core cities rather than the core city population itself. We analyse heterogeneity by geography and income levels. A counterfactual simulation shows that exposure could fall by up to 40% if population size were equalized across all cities within countries, but the relocation of population from large to small cities that maximizes welfare would be small.
The Final-over-Final Condition has emerged as a robust and explanatory generalization for a wide range of phenomena (Biberauer, Holmberg, and Roberts 2014, Sheehan et al. 2017).
In this article, we argue that it also holds in another domain, nominalization.
In languages that show overt nominalization of VPs, one word order is routinely unattested, namely, a head-initial VP with a suffixal nominalizer.
This typological gap can be accounted for by the Final-over-Final Condition, if we allow it to hold within mixed extended projections.
This view also makes correct predictions about agentive nominalizations and nominalized serial verb constructions.
Motivational profiles across domains and academic choices within Eccles et al.’s situated expectancy
(2021)
This longitudinal person-centered study aimed to identify profiles of subjective task values and ability self-concepts of adolescents in the domain of mathematics, English, biology, and physics in Grades 10 and 12. We were interested in gendered changes of profile membership, and in relations between profile membership and educational and occupational outcomes in adulthood. Data were drawn from the Michigan Study of Adolescent and Adult Life Transitions. We focused on students who participated in the data collection in Grades 10 and 12 (N = 911; 56.1% female; M-age = 16.49, SD = .63; 91.2% European American, 4.6% African American, and 2.1% other ethnic groups such as Hispanic, Asian, Native American). Data on subsequent college majors were assessed 2, 6, and 10 years after finishing high school and data on occupational outcomes was assessed up to 22 years after high school. Using Latent Profile Analyses, our findings revealed five profiles in grade 10 and four profiles in grade 12, which were meaningfully related to student gender. Latent Transition Analyses showed that motivational beliefs became more hierarchical over time. Gendered changes in profile membership occurred, with boys experiencing a process of specialization into mathematics domains. We were also able to show that gender-specific intraindividual hierarchies of motivational beliefs were related to gender-specific specialization processes in adolescence and to subsequent gendered choices throughout the life course.