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Purpose:
To analyse the willingness for postmortem cornea donation in Germany.
Methods:
Employees in two cities (UKM, UKS), and university hospitals (STM, STE), members of the German Ophthalmological Society (DOG), and employees of an automobile company (BO) participated in a questionnaire about postmortem cornea donation attitudes. The questionnaire consisted of demographic items, motives concerning postmortem cornea donation, general attitudes toward donation, and questions concerning the perceived needs for information about donation. The statistical analyses included logistic regression with the target parameter of 'willingness to donate cornea postmortem'.
Results:
Of the participants, 67.7 % (UKM, UKS), 70.9 % (STM, STE), 70.8 % (BO), and 79.4 % (DOG) declared their intention to donate their corneas postmortem. Younger age (p < 0.001), poorer general health (p < 0.05), faith in an eternal life (p < 0.05), disagreement with brain death diagnostics (p < 0.001), fear of receiving worse medical treatment (p < 0.001), and fear of the commercialization of organs (p < 0.001) were found to be risk factors for a negative attitude toward postmortem cornea. The majority of participants (57.4 %) indicated that additional information about donation would be appreciated, and the internet (69.9 %) was considered the most appropriate means for conveying this information.
Conclusions:
Emotional items were revealed to be the most relevant factors influencing the willingness to donate cornea postmortem, which may be counteracted by means of public education. The relatively low willingness among the medical staff contrasts with previous observations in a professional ophthalmologic society.
Background:
Children with severe psychomotor impairment (SPMI) often experience sleep disturbances that severely distress both the child and his or her parents. Validated questionnaires for the assessment of parents’ distress related to their child’s sleep disturbances are lacking.
Methods:
We developed and validated a new questionnaire, the HOST (holistic assessment of sleep and daily troubles in parents of children with SPMI) to assess the effect of the sleep disturbances in children with SPMI on their parents. The questionnaire was developed based on published data and expert opinion, and it was refined via direct consultation with affected parents. Its psychometric characteristics were assessed in a sample of parents of 214 children with SPMI. It was retested using a random subsample of the participants.
Results:
Explorative factor analysis revealed that the HOST was composed of four scales. Fit indices, item analysis, and convergent validity (coherence with preexisting instruments of sleep disturbances and health status) were adequate. Retest analysis (n = 62) revealed high stability of the HOST questionnaire and adequate replication validity.
Conclusion:
Sleep-related difficulties significantly impact the sociomedical characteristics of the parents of children with complex neurologic diseases. Typically, parents are severely affected in various aspects of daily life (i.e., medical health, social life, professional life). The HOST proved to be a valid, reliable and economical assessment tool of sleep-related difficulties in parents and relatives of children with SPMI. The HOST is capable of identifying individuals and specific areas requiring intervention.
Multiple-group confirmatory factor analysis (MG-CFA) is among the most productive extensions of.structural equation modeling. Many researchers conducting cross-cultural or longitudinal studies are interested in testing for measurement and structural invariance. The aim of the present paper is to provide a tutorial in MG-CFA using the freely available R-packages lavaan, semTools, and semPlot. The combination of these packages enable a highly efficient analysis of the measurement models both for normally distributed as well as ordinal data. Data from two freely available datasets – the first with continuous the second with ordered indicators - will be used to provide a walk-through the individual steps.
Selecting items for Big Five questionnaires : At what sample size do factorloadings stabilize?
(2014)
Researchers often use exploratory factor analysis (EFA) to develop and refine questionnaires assessing theBig Five personality traits. We use sequential sampling and bootstrapping to determine the number ofparticipants needed to yield stable loading patterns for the Big Five Inventory (BFI) and the InternationalPersonality Item Pool Big Five measure (IPIP). Overall 21,350 participants (BFI = 10,285; IPIP = 11,065)participated. In two studies primary factor loadings are highly variable in smaller samples (n< 500)and some primary loadings are not stable with 10,000 participants. Most studies will not have adequatesample size to yield stable loading patterns for Big Five measures such as the BFI and IPIP. Researchersshould assess and report the variability of loading patterns.
The relevance of cross-industry innovation has increased in recent decades with a growing number of inter-industry fields emerging on the borderline between formerly distinct industries. The aim of this paper is to analyse industry convergence in four probiotics innovation value chains based on the following indicators: cross-industry relationships along the innovation value chain as well as knowledge, technological, regulatory and competence convergence. In so doing, the study delivers a framework of indicators for scrutinising industry convergence processes. In order to identify industry convergence, we analyse companies in the converging area of foods and drugs based on products containing the four bacteria strains: Lactobacillus caseii DN 114001, Bifidobacterium lactis Bb12, Lactobacillus acidophilus LA5 and Lactobacillus rhamnosus. Hence, the commercial availability of the strains on the market serves as a selection criterion. Altogether 12 companies stemming from four industrial backgrounds, food and agriculture (5), pharmaceutics (5), chemistry (1) and personal care (1), as well as one research organisation are identified. Cross-industry relationships occur along the innovation value chains of the four strains. Clear signs of knowledge and technological convergence are found as companies are not only publishing and patenting in the usual area of their own industrial field but also in the area of other industrial fields. Companies with different industrial backgrounds show activities in obtaining health claims indicating regulatory convergence. Companies' competence bases seem to converge as companies with different industrial backgrounds are involved in acquisitions, licencing agreements and strategic alliances (competence convergence). We contribute to the existing body of literature by assessing industry convergence from an innovation value chain perspective with a set of indicators reflecting the intensity of industry convergence. This framework of indicators stemming from literature has not yet been used in a combined comprehensive analysis. Furthermore, we tried to show the characteristics of strategic types driving industry convergence in probiotics.
Europe's freshwater biodiversity under climate change: distribution shifts and conservation needs
(2014)
Aim
To assess the future climatic suitability of European catchments for freshwater species and the future utility of the current network of protected areas.
Location
Europe.
Methods
Using recently updated catchment-scale species data and climate projections from multiple climate models, we assessed the climate change threat by the 2050s for 1648 European freshwater plants, fishes, molluscs, odonates, amphibians, crayfish and turtles for two dispersal scenarios and identified hotspots of change at three spatial scales: major river basins, countries and freshwater ecoregions. We considered both common species and the often overlooked rare species. To set our findings within the context of current and future conservation networks, we evaluated the coverage of freshwater biodiversity by Europe's protected area network.
Results
Six per cent of common and 77% of rare species are predicted to lose more than 90% of their current range. Eight fish species and nine mollusc species are predicted to experience 100% range loss under climate change. As the most species-rich group, molluscs are particularly vulnerable due to the high proportion of rare species and their relatively limited ability to disperse. Furthermore, around 50% of molluscs and fish species will have no protected area coverage given their projected distributions.
Main conclusions
We identified the species most at threat due to projected changes in both catchment suitability and representation within the European protected area network. Our findings suggest an urgent need for freshwater management plans to facilitate adaptation to climate change.
What determines ingredient awareness of consumers? : A study on ten functional food ingredients
(2014)
Given the importance of consumer awareness of functional food ingredients for healthy food choices, the aim of this study is to explore consumers’ ingredient awareness and the determinants which influence the awareness about functional food ingredients.
A sample of 200 German consumers was interviewed via CATI (computer aided telephone interview) during September 2011. The participants have been asked about their specific awareness regarding to ten functional food ingredients. Likewise, determinants like health status and health motivation have been assessed and their influence on the construct “consumers’ ingredient awareness” has been tested by employing structural equation modeling.
The study shows that consumers’ ingredient awareness varies throughout the sample. Overall it can be stated, that 19% of consumer awareness about functional food ingredients is explained through the described model based on the following predictors: age, educational level, health status, health motivation and information strategies. Among these factors, consumers’ health motivation seems to have the highest relevance to explain consumer awareness. But also the determinants information strategies as well as the education show a significant influence on consumers’ ingredient awareness. As health motivation shows the highest impact on consumers’ ingredient awareness this study underlines the importance of prevention propensity for healthy food choices.
Der Lebensmittel- und Landwirtschaftssektor wird in den nächsten Jahrzehnten vor zahlreichen Herausforderungen stehen, die sich aus den sich verändernden globalen Produktions- und Verbrauchsmustern ergeben, die derzeit mit einem hohen Ressourcenverbrauch einhergehen und ökologische und sozioökonomische Auswirkungen haben. Ziel dieses Beitrags ist es, die praktische Anwendbarkeit der Hot-Spot-Analyse-Methode im Kontext des Lieferkettenmanagements in Unternehmen zu veranschaulichen und zu bewerten.
Die HSA ist eine Methode zur Identifizierung sozialer und ökologischer Probleme entlang des gesamten Lebenszyklus eines Produkts. Besonderes Augenmerk wird auf eine maßgeschneiderte Umsetzung in der Wertschöpfungskette Rindfleisch von McDonald's Deutschland gelegt. Die HSA der Wertschöpfungskette Rindfleisch von McDonald's zeigt, dass die größten ökologischen Probleme in der Phase der Rohstoffgewinnung auftreten, während die größten sozialen Probleme in der Phase der Schlachtung identifiziert werden können. Abschließend zeigt der Beitrag Potenziale und Defizite einer solchen maßgeschneiderten Anwendung und wie die Ergebnisse im Nachhaltigkeitsmanagement eines Unternehmens umgesetzt werden können. in das Nachhaltigkeitsmanagement eines Unternehmens implementiert werden können.
The nutritional footprint – An assessment tool for health and environmental effects of nutrition
(2014)
Aufgrund seiner starken Umweltauswirkungen gilt der Lebensmittelsektor durch Effekte in Produktion, Verarbeitung, Konsum und Entsorgung gemeinhin als ein wichtiges Handlungsfeld, soll eine gesellschaftliche Transformation in Richtung Nachhaltigkeit weiter vorangetrieben werden. Da Ernährungsgewohnheiten sowohl ökologische Auswirkungen induzieren als auch gesundheitliche Folgen für die Verbraucher haben, sind Konzepte gefragt, die ökologische mit gesundheitlichen Indikatoren kombinieren; diese sind jedoch bislang rar. Das vorgestellte Instrument des Nutritional Footprint greift diese Problemstellung auf und verbindet in einem innovativen Konzept jeweils vier Kernindikatoren beider Dimensionen. Mithilfe des Konzepts erhalten Verbraucher einen Überblick zu Umwelt- und Gesundheitswirkungen ihrer Ernährung. Unternehmen können wiederum interne Datensätze verwalten, Benchmarking betreiben und ihre externe Kommunikationsleistung erweitern.
Fairness and Team Efficiency
(2013)
This study applies to the perception of fairness during teamwork. Students were assigned to work groups by lot and were instructed to prepare a course presentation. Groups were given no guidelines relating to allocation of tasks, but each group was graded as a whole. Since a real grade was given in a non-simulated experiment, it was possible to determine team efficiency, work satisfaction, and perception of fairness via a subsequent study. Results show a strong influence of fairness on team efficiency.