Focal random selection closes the gender gap in competitiveness

Gender differences in choosing to enter competitions are an important cause of the leaky pipeline for women in leadership roles and represent a considerable waste of human resources. We used an incentivized laboratory experiment to evaluate whether the introduction of random elements alters the gender gap in competitiveness. We found that focal random selection from a preselected pool removes the difference in competitiveness between men and women and does not dilute the qualifications of the entrants. The percentage of women who took part in competitions was nearly triple, and that of high-ability women double, with focal random selection compared to selection in pure performance competitions. In contrast, the behavior of men remained largely unchanged. Focal random selection closes the gender gap in competitiveness and can substantially enlarge the pool of high-performing women who apply for top jobs

How psychosocial factors affect well-being of practice assistants at work in general medical care? – a questionnaire survey

Background: Well-being at work is an important aspect of a workforce strategy. The aim of the study was to explore and evaluate psychosocial factors and health and work-related outcomes of practices assistants depending on their employment status in general medical practices. Methods: This observational study was based on a questionnaire survey to evaluate psychosocial aspects at work in general medical practices. A standardized questionnaire was used, the Copenhagen Psychosocial Questionnaire (COPSOQ). Beside descriptive analyses linear regression analyses were performed for each health and work-related outcome scale of the COPSOQ. Results: 586 practice assistants out of 794 respondents (73.8 %) from 234 general medical practices completed the questionnaire. Practice assistants reported the highest scores for the psychosocial factor ‘sense of community’ (mean = 85.9) and the lower score for ‘influence at work’ (mean = 41.2). Moreover, practice assistants who worked part-time rated their psychosocial factors at work and health-related outcomes more positively than full-time employees. Furthermore, the two scales of health related outcomes ‘burnout’ and ‘job satisfaction’ showed strong associations between different psychosocial factors and socio-demographic variables. Conclusions: Psychosocial factors at work influence well-being at work and could be strong risk factors for poor health and work-related outcomes. Effective management of these issues could have an impact on the retention and recruitment of health care staff

Translation and psychometric properties of the German version of the University of the West of England Interprofessional Questionnaire (UWE-IP)

© 2017 Taylor & Francis. The implementation of a bachelor degree in Interprofessional Health Care at the University of Heidelberg, Germany, has fostered the need to evaluate the impact of this innovative programme. The University of the West of England Interprofessional Questionnaire (UWE-IP) was developed for longitudinal evaluation of an interprofessional curriculum. The UWE-IP consists of 35 items in four scales: “Communication and Teamwork Scale,” “Interprofessional Learning Scale,” “Interprofessional Interaction Scale,” and “Interprofessional Relationships Scale.” The UWE-IP was translated to German according to international guidelines. Psychometrics were assessed: reliability of the four scales was tested with Cronbach‘s alpha and confirmatory factor analysis was performed to examine the underlying factor structure. The sample consisted of 326 datasets. Reliability for the scales was between 0.75 and 0.90. The underlying factor structure showed a good fit. We conclude that the German UWE-IP shows good psychometrics and recommend its use for evaluation of interprofessional learning activities. These results add to the body of knowledge on evaluation instruments in interprofessional education

Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review

Remote detection and monitoring of the vegetation responses to stress became relevant for sustainable agriculture. Ongoing developments in optical remote sensing technologies have provided tools to increase our understanding of stress-related physiological processes. Therefore, this study aimed to provide an overview of the main spectral technologies and retrieval approaches for detecting crop stress in agriculture. Firstly, we present integrated views on: i) biotic and abiotic stress factors, the phases of stress, and respective plant responses, and ii) the affected traits, appropriate spectral domains and corresponding methods for measuring traits remotely. Secondly, representative results of a systematic literature analysis are highlighted, identifying the current status and possible future trends in stress detection and monitoring. Distinct plant responses occurring under short-term, medium-term or severe chronic stress exposure can be captured with remote sensing due to specific light interaction processes, such as absorption and scattering manifested in the reflected radiance, i.e. visible (VIS), near infrared (NIR), shortwave infrared, and emitted radiance, i.e. solar-induced fluorescence and thermal infrared (TIR). From the analysis of 96 research papers, the following trends can be observed: increasing usage of satellite and unmanned aerial vehicle data in parallel with a shift in methods from simpler parametric approaches towards more advanced physically-based and hybrid models. Most study designs were largely driven by sensor availability and practical economic reasons, leading to the common usage of VIS-NIR-TIR sensor combinations. The majority of reviewed studies compared stress proxies calculated from single-source sensor domains rather than using data in a synergistic way. We identified new ways forward as guidance for improved synergistic usage of spectral domains for stress detection: (1) combined acquisition of data from multiple sensors for analysing multiple stress responses simultaneously (holistic view); (2) simultaneous retrieval of plant traits combining multi-domain radiative transfer models and machine learning methods; (3) assimilation of estimated plant traits from distinct spectral domains into integrated crop growth models. As a future outlook, we recommend combining multiple remote sensing data streams into crop model assimilation schemes to build up Digital Twins of agroecosystems, which may provide the most efficient way to detect the diversity of environmental and biotic stresses and thus enable respective management decisions

Fachinformationsdienst (FID) Soziologie: Evaluationsbericht, Bedarfserhebung 2021

Der Fachinformationsdienst (FID) Soziologie bietet der wissenschaftlichen Fachcommunity mit dem Portal SocioHub (sociohub-fid.de) einen zentralen Einstieg in die Literatur- und Informationssuche sowie eine Plattform für die digitale Forschungskommunikation. Im Januar/Februar 2021 hat der FID Soziologie eine Online-Befragung durchgeführt, um Erkenntnisse über Nutzungsverhalten, Zufriedenheit und Bedarfe der Fachcommunity in den Themenbereichen Technische Infrastruktur & Portal, Literaturrecherche & Content, Kommunikation & Kollaboration, Forschungsdaten, Open-Access-Publizieren und Öffentlichkeitsarbeit zu ermitteln. Die Ergebnisse zeigen ein wachsendes Interesse in den Bereichen Open-Access-Publizieren und digitale Informationsangebote. Deutlich wurde darüber hinaus, dass die Bekanntheit des Dienstes in der Fachcommunity erhöht und die konkreten Angebote noch gezielter vermittelt werden müssen

Retrieval of Biophysical Crop Variables from Multi-Angular Canopy Spectroscopy

The future German Environmental Mapping and Analysis Program (EnMAP) mission, due to launch in late 2019, will deliver high resolution hyperspectral data from space and will thus contribute to a better monitoring of the dynamic surface of the earth. Exploiting the satellite's +/- 30 degrees across-track pointing capabilities will allow for the collection of hyperspectral time-series of homogeneous quality. Various studies have shown the possibility to retrieve geo-biophysical plant variables, like leaf area index (LAI) or leaf chlorophyll content (LCC), from narrowband observations with fixed viewing geometry by inversion of radiative transfer models (RTM). In this study we assess the capability of the well-known PROSPECT 5B + 4SAIL (Scattering by Arbitrarily Inclined Leaves) RTM to estimate these variables from off-nadir observations obtained during a field campaign with respect to EnMAP-like sun-target-sensor-geometries. A novel approach for multiple inquiries of a large look-up-table (LUT) in hierarchical steps is introduced that accounts for the varying instances of all variables of interest. Results show that anisotropic effects are strongest for early growth stages of the winter wheat canopy which influences also the retrieval of the variables. RTM inversions from off-nadir spectra lead to a decreased accuracy for the retrieval of LAI with a relative root mean squared error (rRMSE) of 18% at nadir vs. 25% (backscatter) and 24% (forward scatter) at off-nadir. For LCC estimations, however, off-nadir observations yield improvements, i.e., rRMSE (nadir) = 24% vs. rRMSE (forward scatter) = 20%. It follows that for a variable retrieval through RTM inversion, the final user will benefit from EnMAP time-series for biophysical studies regardless of the acquisition angle and will thus be able to exploit the maximum revisit capability of the mission

Physically-Based Retrieval of Canopy Equivalent Water Thickness Using Hyperspectral Data

Quantitative equivalent water thickness on canopy level (EWTcanopy) is an important land surface variable and retrieving EWTcanopy from remote sensing has been targeted by many studies. However, the effect of radiative penetration into the canopy has not been fully understood. Therefore, in this study the Beer-Lambert law is applied to inversely determine water content information in the 930 to 1060 nm range of canopy reflectance from measured winter wheat and corn spectra collected in 2015, 2017, and 2018. The spectral model was calibrated using a look-up-table (LUT) of 50,000 PROSPECT spectra. Internal model validation was performed using two leaf optical properties datasets (LOPEX93 and ANGERS). Destructive in-situ measurements of water content were collected separately for leaves, stalks, and fruits. Correlation between measured and modelled water content was most promising for leaves and ears in case of wheat, reaching coefficients of determination (R-2) up to 0.72 and relative RMSE (rRMSE) of 26% and in case of corn for the leaf fraction only (R-2 = 0.86, rRMSE = 23%). These findings indicate that, depending on the crop type and its structure, different parts of the canopy are observed by optical sensors. The results from the Munich-North-Isar test sites indicated that plant compartment specific EWTcanopy allows us to deduce more information about the physical meaning of model results than from equivalent water thickness on leaf level (EWT) which is upscaled to canopy water content (CWC) by multiplication of the leaf area index (LAI). Therefore, it is suggested to collect EWTcanopy data and corresponding reflectance for different crop types over the entire growing cycle. Nevertheless, the calibrated model proved to be transferable in time and space and thus can be applied for fast and effective retrieval of EWTcanopy in the scope of future hyperspectral satellite missions

Applications of Micro-Raman Spectroscopy in Cultural Heritage – Examples from the Laboratory for Conservation Research of the Collections Centre of the Swiss National Museums

The paper reports on three applications of micro-Raman spectroscopy which were carried out in the Laboratory for Conservation Research of the Collections Centre of the Swiss National Museums. The first application addresses archaeological questions about three early mediaeval fibulae which were decorated with gemstones. The determination of different corrosion products on pigeon cameras by micro-Raman spectroscopy is described in the second part of this article. The last case study discusses an example from the field of preventive conservation where changes on metal coupons from the so-called Oddy test were analysed

Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine

Thanks to the emergence of cloud-computing platforms and the ability of machine learning methods to solve prediction problems efficiently, this work presents a workflow to automate spatiotemporal mapping of essential vegetation traits from Sentinel-3 (S3) imagery. The traits included leaf chlorophyll content (LCC), leaf area index (LAI), fraction of absorbed photosynthetically active radiation (FAPAR), and fractional vegetation cover (FVC), being fundamental for assessing photosynthetic activity on Earth. The workflow involved Gaussian process regression (GPR) algorithms trained on top-of-atmosphere (TOA) radiance simulations generated by the coupled canopy radiative transfer model (RTM) SCOPE and the atmospheric RTM 6SV. The retrieval models, named to S3-TOA-GPR-1.0, were directly implemented in Google Earth Engine (GEE) to enable the quantification of the traits from TOA data as acquired from the S3 Ocean and Land Colour Instrument (OLCI) sensor. Following good to high theoretical validation results with normalized root mean square error (NRMSE) ranging from 5% (FAPAR) to 19% (LAI), a three fold evaluation approach over diverse sites and land cover types was pursued: (1) temporal comparison against LAI and FAPAR products obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) for the time window 2016–2020, (2) spatial difference mapping with Copernicus Global Land Service (CGLS) estimates, and (3) direct validation using interpolated in situ data from the VALERI network. For all three approaches, promising results were achieved. Selected sites demonstrated coherent seasonal patterns compared to LAI and FAPAR MODIS products, with differences between spatially averaged temporal patterns of only 6.59%. In respect of the spatial mapping comparison, estimates provided by the S3-TOA-GPR-1.0 models indicated highest consistency with FVC and FAPAR CGLS products. Moreover, the direct validation of our S3-TOA-GPR-1.0 models against VALERI estimates indicated good retrieval performance for LAI, FAPAR and FVC. We conclude that our retrieval workflow of spatiotemporal S3 TOA data processing into GEE opens the path towards global monitoring of fundamental vegetation traits, accessible to the whole research community.We gratefully acknowledge the financial support by the European Space Agency (ESA) for airborne data acquisition and data analysis in the frame of the FLEXSense campaign (ESA Contract No. 4000125402/18/NL/NA). The research was also supported by the Action CA17134 SENSECO (Optical synergies for spatiotemporal sensing of scalable ecophysiological traits) funded by COST (European Cooperation in Science and Technology, www.cost.eu, accessed on: 8 January 2022). This publication is also the result of the project implementation: “Scientific support of climate change adaptation in agriculture and mitigation of soil degradation” (ITMS2014+313011W580) supported by the Integrated Infrastructure Operational Programme funded by the ERDF

New insights into early bronze age damascene technique north of the alps

Damascening, defined in this context as the inlay of one metal into a different metal base, is a rare decorative technique in the Early Bronze Age, known only from seven bronze artefacts found north of the Alps. This paper reports on the first thorough scientific examination of one such find, the axe from Thun-Renzenbühl grave no. 1. This interdisciplinary project involving several institutions in Germany and Switzerland investigated the axe by means of neutron radiographic imaging and X-ray microprobe methods, supported by microscopic examination. The result is an attempt to reconstruct the fabrication and decoration process and to reconsider the enigmatic question of the origins of the damascene technique north of the Alp