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Atopic dermatitis, STAT3- and DOCK8-hyper-IgE syndromes differ in IgE-based sensitization pattern
(2014)
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.
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.
Objective
The purpose of this case report is to describe the use of mobilization and eccentric exercise training for a patient with ankle pain and a history of chronic ankle sprains and discuss the course of diagnostic decision making when the patient did not respond to care.
Clinical Features
A 48-year-old police officer who had sustained multiple ankle sprains throughout his life presented with pain and restriction in his ability to walk, run, and work. The Global Rating of Change Scale score was − 6, the Numeric Pain Rating Scale score was 7/10, and the Lower Extremity Functional Scale score was − 33. Palpation of the peroneus longus and brevis muscles and inversion with overpressure reproduced the chief concern (Numeric Pain Rating Scale 7/10). The patient was initially diagnosed with chronic peroneal tendinopathy.
Intervention and Outcome
Treatment included lateral translation mobilization of the talocrural joint combined with eccentric exercise using an elastic band for the peroneal muscles. The patient reported improvement in pain and function during the course of intervention but not as rapidly as expected. Therefore, follow-up ultrasonographic imaging and radiography were performed. These studies revealed partial rupture of the peroneal brevis muscle and total rupture of the peroneal longus muscle.
Conclusion
A patient with long-term concerns of the foot complex with a diagnosis of peroneal tendinopathy showed slight improvement with eccentric exercises combined with manual therapy of the talocrural joint. After a course of treatment but minimal response, a diagnosis of tendon rupture was confirmed with diagnostic ultrasonography. Clinicians should be aware that when injuries do not improve with care, tendon rupture should be considered.
Today, system engineering companies face the challenge to align their processes optimally to the project goals to fulfill the project requirements. Process optimization is done on development process models as planning abstraction. This is currently, with the existing process models and process modeling languages, not possible because the languages are not suitable. This work presents a formal, yet flexible process modeling language that can be used to capture development processes on arbitrary abstraction levels. This modeling language is complemented by analysis and synthesis methods and tools to optimize process models appropriately and to bind process and process model tight together.
Unternehmen der Systementwicklung stehen heutzutage vor der Aufgabe ihre Prozesse optimal auf die jeweiligen Projektziele auszurichten, um den Projektanforderungen gerecht zu werden. Die Optimierung der Prozesse geschieht dabei auf den Planungsabstraktionen der Entwicklungsprozesse, der Entwicklungsprozessmodellebene. In dieser Arbeit wird eine formale und gleichzeitig flexible Prozessmodellierungssprache vorgestellt, die in der Lage ist, Entwicklungsprozesse in beliebigen Abstraktionen wider zu spiegeln. Zudem wurden entsprechende Analyse- und Synthesemethoden implementiert, um die Optimierung der Prozessmodelle zu unterstützen und Prozesse und Prozessmodelle eng aneinander zu binden.
Background: We see a growing number of older adults receiving long-term care in industrialized countries. The Healthcare Utilization Model by Andersen suggests that individual need characteristics influence utilization. The purpose of this study is to analyze correlations between need characteristics and service utilization in home care arrangements.
Methods: 1,152 respondents answered the questionnaire regarding their integration of services in their current and future care arrangements. Care recipients with high long-term care needs answered the questionnaire on their own, the family caregiver assisted the care recipient in answering the questions, or the family caregiver responded to the questionnaire on behalf of the care recipient. They were asked to rank specific needs according to their situation. We used descriptive statistics and regression analysis.
Results: Respondents are widely informed about services. Nursing services and counseling are the most used services. Short-term care and guidance and training have a high potential for future use. Day care, self-help groups, and mobile services were the most frequently rejected services in our survey. Women use more services than men and with rising age utilization increases. Long waiting times and bad health of the primary caregiver increases the chance of integrating services into the home care arrangements.
Conclusion: The primary family caregiver has a high impact on service utilization. This indicates that the whole family should be approached when offering services. Professionals should react upon the specific needs of care dependents and their families.
The article describes an analysis of the use of e-learning to improve the learning transfer to practice in continuing education. Therefore an e-learning offer has been developed as a part between two attendance periods of a training course in the field of Ambient Assisted Living (AAL). All participants of the course were free to use the e-learning offer. After the end of the e-learning part we compared the e-learning users to the other participants. Using an online questionnaire we explored if there are differences in the activities in the field AAL after the training course. The results show that e-learning is beneficial especially for communication processes. Due to the fact that the possibility to talk about the learning content is an essential factor for the learning transfer, e-learning can improve the learning success.
Handovers need a common ground on the clinical cases between the members of the successive shifts to establish continuity of care. Conventional electronic patient record systems (EHR) proved to be only insufficiently suitable for supporting the grounding process. Against this background we proposed a basic concept for a handover EHR that extends general EHRs in particular openEHR based systems. The resulting handover information model was implemented in a database and evaluated based on 120 clinical cases. The information items of these cases could be mapped successfully to the model, however, the new class “anticipatory guidance” needed to be introduced. The evaluation also demonstrated the importance of highly aggregated information on the clinical case, opinions and meta-information such as the relevance of an item during handovers. Based on these findings, in particular the handover database, handover EHR applications are currently developed to support the grounding process.
The candidate list of substances subject to authorisation is an instrument provided by the EU chemicals regulation (REACH) to publicly announce and prioritize chemical substances of very high concern (SVHC) as a first step of imposing an obligation of authorisation on them, i.e. including them into the authorisation list (Annex XIV of REACH). As a consequence of inclusion into the “candidate list”, a variety of obligations concerned with intensifying risk communication apply. Article producers, importers and distributors of articles have to communicate information about SVHCs contained in articles and necessary risk management measures to the recipients of the articles and provide this information to consumers on request (Art. 33 REACH). This research paper analyzes the reputational mechanism of the candidate list showing a potential to stigmatize not only the substances as such but also various actors of the supply chain associated with these substances and their brands. Drawing on behavioral psychology theories, hypotheses on the reputational impacts of the candidate list on substance manufacturers, downstream users (including formulators and manufacturers of articles) and distributors are derived. These are discussed on the basis of current empirical data surveyed by the European Commission.
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.
World-wide, the degradation and destruction of both natural and traditionally used semi-natural ecosystems is drastically increasing. Unfortunately, commercial seed mixtures, consisting of non-native species and genetically uniform cultivars, are widely used in grassland restoration, often with negative effects on biodiversity. Therefore, native species should be used in the ecological restoration of natural and semi-natural vegetation. This book compiles results from recent studies presented at a Special Session “Native seed production and use in restoration projects”, which was organised during the 8th European Conference on Ecological Restoration in České Budějovice, Czech Republic.
The authors review the ecological and genetic aspects of seed propagation and species introduction both from a European and an American perspective, and discuss implications for the development of seed zones and for native seed production. Examples from different countries focus on native seed production in practice, and suggest different approaches for the certification of seed provenance.
Best practice examples from Europe and the United States are used to indicate the advantages of using native seeds for ecological restoration of grasslands, field margins and sagebrush steppe. Finally, this volume also provides guidelines for the successful implementation of restoration projects for local authorities, landscape planners and NGOs in order to bridge gaps between research and practice.
Background
The continuous rise in caesarean rates across most European countries raises multiple concerns. One factor in this development might be the type of care women receive during childbirth. ‘Supportive care during labour’ by midwives could be an important factor for reducing fear, tension and pain and decreasing caesarean rates. The presence and availability of midwives to support a woman in line with her needs are central aspects for ‘supportive care during labour’.
To date, there is no existing research on the influence of effective ‘supportive care’ by German midwives on the mode of birth. This study examines the association between the attendance and workload of midwives with the mode of birth outcomes in a population of low-risk women in a German multicentre sample.
Methods
The data are based on a prospective controlled multicentre trial (n = 1,238) in which the intervention ‘midwife-led care’ was introduced. Four German hospitals participated between 2007 and 2009.
Secondary analyses included a convenience sample of 999 low-risk women from the primary analyses who met the selection criterion ‘low-risk status’. Participation was voluntary. The association between the mode of birth and the key variables ‘attendance of midwives’ and ‘workload of midwives’ was assessed using backward logistic regression models.
Results
The overall rate of spontaneous delivery was 80.7% (n = 763). The ‘attendance of midwives’ and the ‘workload of midwives’ did not exhibit a significant association with the mode of birth. However, women who were not satisfied with the presence of midwives (OR: 2.45, 95% CI 1.54-3.95) or who did not receive supportive procedures by midwives (OR: 3.01, 95% CI 1.50-6.05) were significantly more likely to experience operative delivery or a caesarean. Further explanatory variables include the type of hospital, participation in childbirth preparation class, length of stay from admission to birth, oxytocin usage and parity.
Conclusion
Satisfaction with the presence of and supportive procedures by midwives are associated with the mode of birth. The presence and behaviour of midwives should suit the woman’s expectations and fulfil her needs. For reasons of causality, we would recommend experimental or quasi-experimental research that would exceed the explorative character of this study.
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.
Background
To offer vaginal birth after cesarean (VBAC) in a hospital setting is recommended in international guidelines, but offering VBAC in out‐of‐hospital settings is considered controversial. This study describes neonatal and maternal outcomes in mothers who started labor in German out‐of‐hospital settings.
Method
In a retrospective analysis of German out‐of‐hospital data from 2005 to 2011, included were 24,545 parae II with a singleton pregnancy in a cephalic presentation at term (1,927 with a prior cesarean and 22,618 with a prior vaginal birth).
Result
The overall VBAC rate was 77.8 percent. The intrapartum transfer rate to hospital was 38.3 percent (prior cesarean) versus 4.6 percent (prior vaginal) (p < 0.05), and the 10‐minute Apgar < 7 rate was 0.6 versus 0.2 percent (p < 0.05), and the nonemergency intrapartum transfer rate was 91.5 versus 85.0 percent (p < 0.05). Prolonged first stage of labor was the most common reason for intrapartum transfer in both groups. The leading reason for postpartum transfer was retained placenta.
Discussion
There was a high rate of successful VBAC in this study. The high nonemergency transfer rate for women with VBAC might mean that midwives are more cautious when attending women with a prior cesarean in out‐of‐hospital settings. Further studies are necessary to evaluate which women are suitable for VBAC in out‐of‐hospital settings.
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.