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This research project focused on the consumers' acceptance of a newly developed apple in order to encourage the purchase behavior in the supermarket. It was enriched with selenium via biofortification in order to address the undersupply with the trace element in the German population. The study included online surveys and a market test in food retail. The results were used as preparation for the design of a marketable apple product. In the online pretest, the most popular apple cultivars, the most popular health benefits of selenium, as well as the respondents' preferences for the name of the new apple: Selstar® were detected. These results were included in an online survey which encompassed n=1042 interviews from German households. The sample was recruited according to national representative distribution of age groups, gender, and regions. The results show that the majority of the respondents were not sure what exactly selenium is and what it is used or needed for. Therefore, the product package included information about the health benefits of selenium, for e.g. the immune system. The stepwise approach of the research and the implementation of the results helped the targeted navigation of the market launch of the Selstar®.
Abstract: Thermal response curves that depict the probability of occurrence along a thermal gradient are used to derive various species’ thermal properties and abilities to cope with warming. However, different thermal responses can be expected for different portions of a species range. We focus on differences in thermal response curves (TRCs) and thermal niche requirements for four freshwater fishes (Coregonus sardinella, Pungitius pungitius, Rutilus rutilus, Salvelinus alpinus) native to Europe at (1) the global and (2) European continental scale. European ranges captured only a portion of the global thermal range with major differences in the minimum (Tmin), maximum (Tmax) and average temperature (Tav) of the respective distributions. Further investigations of the model-derived preferred temperature (Tpref), warming tolerance (WT = Tmax − Tpref), safety margin (SM = Tpref − Tav) and the future climatic impact showed substantially differing results. All considered thermal properties either were under- or overestimated at the European level. Our results highlight that, although continental analyses have an impressive spatial extent, they might deliver misleading estimates of species thermal niches and future climate change impacts, if they do not cover the full species ranges. Studies and management actions should therefore favor whole global range distribution data for analyzing species responses to environmental gradients.
Thermal response curves that depict the probability of occurrence along a thermal gradient are used to derive various species’ thermal properties and abilities to cope with warming. However, different thermal responses can be expected for different portions of a species range. We focus on differences in thermal response curves (TRCs) and thermal niche requirements for four freshwater fishes (Coregonus sardinella, Pungitius pungitius, Rutilus rutilus, Salvelinus alpinus) native to Europe at (1) the global and (2) European continental scale. European ranges captured only a portion of the global thermal range with major differences in the minimum (Tmin), maximum (Tmax) and average temperature (Tav) of the respective distributions. Further investigations of the model-derived preferred temperature (Tpref), warming tolerance (WT = Tmax − Tpref), safety margin (SM = Tpref − Tav) and the future climatic impact showed substantially differing results. All considered thermal properties either were under- or overestimated at the European level. Our results highlight that, although continental analyses have an impressive spatial extent, they might deliver misleading estimates of species thermal niches and future climate change impacts, if they do not cover the full species ranges. Studies and management actions should therefore favor whole global range distribution data for analyzing species responses to environmental gradients.
Communication deficits belong to the most frequent errors in patient handovers calling upon specialized training approaches to be implemented. This study aims to harness problem-based learning (PBL) methods in handover education and evaluated the learning process. A digitally enabled PBL course was developed and implemented at Klinikum Osnabrück from which eight nurses participated in the course. They agreed on the stimulating effect of the setting regarding self-directed learning and on the potential to translate the new knowledge and skills into the daily clinical practice. In conclusion, the findings are promising that a digitally enabled PBL course is a suitable learning format for handover education.
Background: In longitudinal studies, observations are made over time. Hence, the single observations at each time point are dependent, making them a repeated measurement. In this work, we explore a different, counterintuitive setting: At each developmental time point, a lethal observation is performed on the pregnant or nursing mother. Therefore, the single time points are independent. Furthermore, the observation in the offspring at each time point is correlated with each other because each litter consists of several (genetically linked) littermates. In addition, the observed time series is short from a statistical perspective as animal ethics prevent killing more mother mice than absolutely necessary, and murine development is short anyway. We solve these challenges by using multiple contrast tests and visualizing the change point by the use of confidence intervals.
Results: We used linear mixed models to model the variability of the mother. The estimates from the linear mixed model are then used in multiple contrast tests.There are a variety of contrasts and intuitively, we would use the Changepoint method. However, it does not deliver satisfying results. Interestingly, we found two other contrasts, both capable of answering different research questions in change point detection: i) Should a single point with change direction be found, or ii) Should the overall progression be determined? The Sequen contrast answers the first, the McDermott the second. Confidence intervals deliver effect estimates for the strength of the potential change point. Therefore, the scientist can define a biologically relevant limit of change depending on the research question.
Conclusion: We present a solution with effect estimates for short independent time series with observations nested at a given time point. Multiple contrast tests produce confidence intervals, which allow determining the position of change points or to visualize the expression course over time. We suggest to use McDermott’s method to determine if there is an overall significant change within the time frame, while Sequen is better in determining specific change points. In addition, we offer a short formula for the estimation of the maximal length of the time series.
Data warehouse systems have become a basic technological infrastructure in management decision making. Nevertheless, the overall utility of data warehouses remains unmeasured in most practical cases. As a consequence of this, IT-managers do not possess appropriate means to evaluate warehouse benefits in order to decide about investments in warehousing technology. This paper develops a controlling instrument for data warehouse systems based on the Balanced Scorecard (BSC) approach. On the basis of the technological aspects of data warehouse systems, the BSC perspectives are developed and populated with relevant objectives and measures for datawarehouse success. These perspectives are integrated into a consistent data warehouse scorecard. Finally, this instrument provides a holistic approach to drive the performance of data warehouse systems.
Semi-natural grasslands (SNGs) are an essential part of European cultural landscapes. They are an important habitat for many animal and plant species and offer a variety of ecological functions. Diverse plant communities have evolved over time depending on environmental and management factors in grasslands. These different plant communities offer multiple ecosystem services and also have an effect on the forage value of fodder for domestic livestock. However, with increasing intensification in agriculture and the loss of SNGs, the biodiversity of grasslands continues to decline. In this paper, we present a method to spatially classify plant communities in grasslands in order to identify and map plant communities and weed species that occur in a semi-natural meadow. For this, high-resolution multispectral remote sensing data were captured by an unmanned aerial vehicle (UAV) in regular intervals and classified by a convolutional neural network (CNN). As the study area, a heterogeneous semi-natural hay meadow with first- and second-growth vegetation was chosen. Botanical relevés of fixed plots were used as ground truth and independent test data. Accuracies up to 88% on these independent test data were achieved, showing the great potential of the usage of CNNs for plant community mapping in high-resolution UAV data for ecological and agricultural applications.
Currently, the modelling of drying processes of plant tissues pre-treated by pulsed electric field (PEF) is following experimentally identified curves or separate heat and mass transfer and diffusion models with different levels of accuracy. This research had two major objectives: mathematical modeling and control of drying process of different vegetables pretreated by PEF during convective drying. The mathematical modeling was based on Luikov's heat and mass transfer model along with properties of different vegetables. Computer modelling was done using the difference method for predicting moisture and the temperature potentials of untreated and PEF-treated vegetables. The formulation and the solution procedures were applied to simulate the simultaneous heat and mass transfer in selected vegetables subjected to the convective drying. Suggested model had a good correlation with experimental results. Moreover, cell disintegration index can be used as a controllable parameter in heat and mass transfer models to predict drying behavior of potato, onion, and carrot tissues. Obtained drying models can be used as a mathematical tool to predict drying behavior for various types of agricultural products pre-treated by pulsed electric field.
The well-documented social gradient in health in the developed world will not just disappear on its own. Tackling health inequalities by introducing a universal coverage healthcare system recently became an important notion in the U.S. Using cross-sectional data from Germany which has maintained its compulsory egalitarian healthcare system for more than 50 years now, we apply logistic and negative binomial regression to uncover utilisation behaviour patterns under universal coverage. We find that lower education and unemployment raise the risks for all diseases under consideration. Unemployment increases the chance of contacting a physician, while income and education do not apparently affect the healthcare utilisation behaviour. Those diseases concentrated among unemployed and less educated, however, are associated with intensified healthcare utilisation. We conclude that universal coverage may make access to health care easier for those facing the worst health; the unemployed and lower educated.
Jede Ernährung hat Auswirkungen auf den Gesundheitszustand des Einzelnen, auf die Umwelt und auf soziale Belange. Eine wachsende Zahl von Mahlzeiten wird in der Außer-Haus-Verpflegung eingenommen, in der eine systematische Nachhaltigkeitsbewertung nicht zur gängigen Praxis gehört. Um diese Lücke zu schließen, wurde im Rahmen des NAHGAST-Projekts ein Instrument entwickelt. Nach mehr als einem Jahr des Einsatzes des NAHGAST-Online-Tools soll nun überprüft werden, welche positiven Umwelteinflüsse durch den Einsatz des Instruments realisiert werden können. Aus diesem Grund befasst sich dieser Artikel mit der Frage, ob ein Online-Tool Akteure aus dem Bereich des Außer-Haus-Verzehrs in die Lage versetzen kann, ihre Mahlzeiten im Hinblick auf Aspekte einer nachhaltigen Ernährung zu überarbeiten. Darüber hinaus wird die Frage beantwortet, wie sich konkrete Rezeptüberarbeitungen der beliebtesten Mittagsgerichte auf den materiellen Fußabdruck sowie auf den Carbon Footprint auswirken.
Zusammenfassend lässt sich sagen, dass ein Online-Tool individuelle Nachhaltigkeitspfade für Akteure im und ermöglicht eine eigenständige Rezeptüberarbeitung für bereits bestehende Gerichte. Mahlzeiten. Die Ergebnisse zeigen, dass bereits geringfügige Änderungen in den Rezepten zu Einsparungen von bis zu einem Drittel führen können beim CO2-Fußabdruck sowie beim Materialfußabdruck führen können. Bezogen auf den Außer-Haus-Verzehr Außer-Haus-Verzehr ergibt sich daraus das Potenzial für erhebliche Multiplikationseffekte, die den Weg für die Verbreitung von nachhaltiger Ernährung ebnen.
In this paper we want to review and discuss research on the effects of occupational health management activities and services on different outcomes like employee health and well-being or absenteeism and other economic outcomes. In part I we outline goals and functions of occupational health management (OHM), then characterize typical occupational health promotion interventions and describe principles for implementing and organizing OHM. Part II focuses on different OHM activities and services such as creating healthy and safe workplace, reducing work-family conflicts, providing counselling via employee assistance programs and implementing health circles or stress management interventions. We will also discuss intervention design and sample studies as well as meta-analytic data relating to the effectiveness of these interventions. Finally, part III is about the economic impact of OHM. Findings from a management evaluation approach for OHM will be discussed. Then we will concentrate especially on data linking health promotion interventions to absenteeism and financial outcomes expressed as cost savings or cost-benefit ratios. The concluding part summarizes key findings of this paper.
The conservation of freshwater ecosystems has lagged behind that of marine and terrestrial ecosystems and often requires the integration of large-scale approaches and transboundary considerations. This study aims to set the foundations of a spatial conservation strategy by identifying the most important catchments for the conservation of freshwater biodiversity in Europe.
Using data on 1296 species of fish, mollusc, odonate and aquatic plant, and the key biodiversity area criteria (species Red List status, range restriction and uniqueness of species assemblages), we identified a network of Critical Catchments for the conservation of freshwater biodiversity. Applying spatial prioritisation, we show how the prioritised network differs from the ideal case of protecting all Critical Catchments and how it changes when protected areas are included, and we also identify gaps between the prioritised network and existing protected areas.
Critical Catchments (n = 8423) covered 45% of the area of Europe, with 766 qualifying (‘trigger’) species located primarily in southern Europe. The prioritised network, limited to 17% of the area of Europe, comprised 3492 catchments mostly in southern and eastern Europe and species targets were met for at least 96% of the trigger species.
We found the majority of Critical Catchments to be inadequately covered by protected areas. However, our prioritised network presents a possible solution to augment protected areas to meet policy targets while also achieving good species coverage.
Policy implications. While Critical Catchments cover almost half of Europe, priority catchments are mostly in southern and eastern Europe where the current level of protection is not sufficient. This study presents a foundation for a Europe-wide systematic conservation plan to ensure the persistence of freshwater biodiversity. Our study provides a powerful new tool for optimising investment on the conservation of freshwater biodiversity and for meeting targets set forth in international biodiversity policies, conventions and strategies.
HRM processes are increasingly AI-driven, and HRM supports the general digital transformation of companies’ viable competitiveness. This paper points out possible positive and negative effects on HRM, workplaces, and workersorganizations along the HR processes and its potential for competitive advantage in regard to managerial decisions on AI implementation regarding augmentation and automation of work.
A systematic literature review that includes 62 international journals across different disciplines and contains top-tier academic and German practitioner journals was conducted. The literature analysis applies the resource-based view (RBV) as a lens through which to explore AI-driven HRM as a potential source of organizational capabilities.
The analysis shows four ambiguities for AI-driven HRM that might support sustainable company development or might prevent AI application: job design, transparency, performance and data ambiguity. A limited scholarly discussion with very few empirical studies can be stated. To date, research has mainly focused on HRM in general, recruiting, and HR analytics in particular.
The four ambiguities’ context-specific potential for capability building in firms is indicated, and research avenues are developed.
This paper critically explores AI-driven HRM and structures context-specific potential for capability building along four ambiguities that must be addressed by HRM to strategically contribute to an organization’s competitive advantage.
In open-field vegetable production, high quantities of soil mineral nitrogen (Nmin) and N-rich crop residues often remain in the field at harvest. After the harvest of crops in autumn, this N can lead to considerable nitrate (NO3−) losses during the subsequent winter leaching period. In four field trials, different tillage depths (3–4, 10, 30 cm) and dates (early autumn, late autumn, early spring) were investigated to reduce N losses after growing spinach in the autumn. In a further treatment, the nitrification inhibitor 3,4-Dimethylpyrazole phosphate (DMPP) was directly applied to the crop residues. Potential N losses were calculated by a balance sheet approach based on Nmin concentration (0–90 cm), measured N mineralization and N uptake by catch crops. By postponing the tillage date from early to late autumn or spring, resprouting spinach stubbles acted as a catch crop, reducing N losses by up to 61 kg ha−1. However, if the spinach biomass collapsed, the N losses increased by up to 33 kg ha−1 even without tillage. The application of DMPP as well as the tillage depth were less effective. Overall, postponing tillage to spring seems to be the most promising approach for reducing N losses during the off-season.
BACKGROUND: The Craniofacial Pain and Disability Inventory (CF-PDI) is a cross-culturally adapted instrument designed from a biopsychosocial perspective to measure pain, disability, and function in orofacial head and neck pain with shown psychometric properties; however, the German cross-cultural adaption is lacking.
OBJECTIVES: To carry out a transcultural translation of CF-PDI into German and assess its psychometric properties in patients with painful temporomandibular disorders (TMD) with respect to construct and clinical validity, internal consistency and reproducibility.
STUDY DESIGN: Multicenter, prospective, cross-sectional design.
SETTING: Patients (n = 398) were recruited from dental and physical therapy clinics in middle and south Germany.
METHODS: Structural validity was assessed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). We investigated know-group validity by means of the scale’s potential to discriminate between affected and unaffected subjects. Multiple linear regression analysis was used to estimate convergent validity. We tested test-retest reliability by the intraclass correlation coefficient and the Internal consistency by Cronbach’s alpha, or each dimension separately, and the total score. Multiple linear regression analysis was used to estimate convergent validity.
RESULTS: Two hundred forty-six heterogeneous chronic craniofacial pain patients and 152 patients without complaints were recruited from the middle and south of Germany. The German version CF-PDI-G presents 21 items, 4 factors, and adequate psychometric properties. The test-retest reliability and internal consistency of the CF-PDI-G were both excellent for the entire instrument and also for all sub-scales (intraclass correlation coefficient [ICC] > 0.90) except for the comorbidities and interference with work which was acceptable (ICC = 0.69). Standard error of the measurement (SEM) and minimal detectable change values are sufficiently low. Assessment of clinical validity shows good potential of discrimination and classification into categories “no,” “mild,” “moderate,” and “severe.” The multiple linear regression model showed a strong association between neck disability index, Visual Analog Scale, and anamnestic questionnaire (supporting the scale’s convergent validity).
LIMITATIONS: Our sample has a higher prevalence of women and the sample was not recruited consecutively, which may lead to a biased estimation of psychometric properties.
CONCLUSIONS: The CF-PDI-G represents valid and reliable instrument to assess pain and disability in patients with orofacial pain and headache suitable for research and clinical practice.
Convergence processes are based on the activity of distinct industry sectors showing cross-industry collaborations. The aim of this paper is to analyze cross-industry collaborations between the food and pharmaceutical sectors in the convergence area of functional foods. Selected companies from food (Nestlé/Danone) and pharmaceutical (Martek/Bayer HealthCare) sectors are analyzed using the determinants of motivation and industrial scope. The analysis shows that food companies are more active in cross-industry collaborations than pharmaceutical companies. The latter are more active at the front-end of the value chain focusing on research and development, and delivering their ingredients to food companies that due to their higher expertise in consumer marketing launch the products. While the first cross-industry collaborations were based on an exploration motivation, those that follow focus on exploitation. Acquisitions and licensing agreements are dominant in inside-out and outside-in processes, whereas strategic alliances and joint ventures are based on a coupled process between the food and pharmaceutical sectors.
The aim of this paper is to advance the research on innovation at the pharma-nutrition interface by analysing the three steps of science, technology and market convergence in the area of probiotics using a life cycle perspective. Results from a bibliometric analysis drawing upon 8245 scientific publications, 2082 patents and 1357 news reports focussing on product launch announcements from 1990 up to 2009 indicate that the proposed curve shapes of the life cycles in the theory based framework can be transferred to the case of probiotics. There is a time shift considering the life cycles showing the same activities of the industrial sectors at different moments of time. The food sector dominates the field of probiotics by driving science, technology and market convergence showing earlier activities in scientific publications, patents as well as product launches, while presenting a higher clockspeed between the different life cycle phases. While the food sector dominates product launches for food products containing probiotics, the pharmaceutical sector dominates the product launches of the supplement market. In addition, a clear trend towards industry convergence can be identified by the growing number of cross-industry activities.