Guidelines for stimulating consumer innovative behaviour

This report presents an overview of the Deliverable 1.3.1 to 1.3.9 of WP1.3 and, from their conclusions, derives guidelines for stimulating consumer innovative behaviour with respect to novel fruit products. First every deliverable is briefly introduced. Second the methods used in every deliverable are described and discussed. Third, some major conclusions from the different deliverables are summarized. Finally, lessoned learned from the research in WP1.3 and overall policy recommendations for future product development of fresh fruits and fruit products and communication strategies are formulated

Consumer acceptance of novel fruits and fruit products

This report presents results of the consumer survey that was conducted in November, 2009, in four European countries – Poland, the Netherlands, Greece and Spain within WP 1.3 of ISAFRUIT Project. In the current deliverables (D1.3.5 and D1.3.8), the authors first focused on the influence of personal characteristics of the respondents, the evaluation of general fruit product characteristics, product evaluations of specific novel fresh fruits and fruit products and demographics on consumers' acceptance of fruit innovations. Furthermore, they identified cross cultural consumer segments, who each value different product characteristics. Moreover, these consumer segments differ in demographics, their willingness to accept fruit innovations and their personal characteristics. Policy recommendations for future product development of fresh fruits and fruit products and communication strategies were formulated, based on the results of the consumer survey and the identified cross cultural consumer segments

Ways to Improve (Visual) Outcome in Corneal Transplantation, Corneal Pathology

The normally transparent cornea can lose its ability to refract light regularly from various conditions. Among these conditions are corneal opacities and corneal diseases leading to a distortion of the corneal contour. Vision might be restored by a corneal transplantation. Corneal transplantation is widely practised and can be very successful. The high success rate of corneal transplantation has been attributed to the avascularity of the cornea and the immune privileged site of the cornea. The leading cause, however, of corneal graft failure is graft rejection. The incidence of graft rejection and failure is increased in high-risk patients having corneal vascularisation or a history of previous graft rejection. For a patient to benefit from corneal transplantation the graft must be optically clear with minimal aberrations. Consequently, reducing corneal graft failure and reducing postoperative astigmatism can improve the outcome of a corneal transplantation. The aim of studies described in this thesis was to improve the (visual) outcome of corneal transplantations. The ultimate life span of each corneal graft is limited, even if an immune reaction has never occurred. In an attempt to postpone a corneal graft we investigated the toric Artisan lens as an alternative to correct high astigmatism associated with keratoconus and marginal degeneration. The toric Artisan lens was also investigated in eyes without corneal pathology

Eten van waarde : peiling consument en voedsel

This report provides a description of a scientifically-funded instrument that measures and explains the perceptions (or 'thoughts') and behaviours (or 'actions') of consumers with regards to food quality values. A description of its application is presented to generate insights into how modern Dutch consumers think about food, what Dutch consumers actually buy and the relationship between perceptions and behaviours

Estimation of Genetic Relationships Between Individuals Across Cohorts and Platforms: Application to Childhood Height

Combining genotype data across cohorts increases power to estimate the heritability due to common single nucleotide polymorphisms (SNPs), based on analyzing a Genetic Relationship Matrix (GRM). However, the combination of SNP data across multiple cohorts may lead to stratification, when for example, different genotyping platforms are used. In the current study, we address issues of combining SNP data from different cohorts, the Netherlands Twin Register (NTR) and the Generation R (GENR) study. Both cohorts include children of Northern European Dutch background (N = 3102 + 2826, respectively) who were genotyped on different platforms. We explore imputation and phasing as a tool and compare three GRM-building strategies, when data from two cohorts are (1) just comb

Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury

Objective: We aimed to explore the added value of common machine learning (ML) algorithms for prediction of outcome for moderate and severe traumatic brain injury. Study Design and Setting: We performed logistic regression (LR), lasso regression, and ridge regression with key baseline predictors in the IMPACT-II database (15 studies, n = 11,022). ML algorithms included support vector machines, random forests, gradient boosting machines, and artificial neural networks and were trained using the same predictors. To assess generalizability of predictions, we performed internal, internal-external, and external validation on the recent CENTER-TBI study (patients with Glasgow Coma Scale <13, n = 1,554). Both calibration (calibration slope/intercept) and discrimination (area under the curve) was quantified. Results: In the IMPACT-II database, 3,332/11,022 (30%) died and 5,233(48%) had unfavorable outcome (Glasgow Outcome Scale less than 4). In the CENTER-TBI study, 348/1,554(29%) died and 651(54%) had unfavorable outcome. Discrimination and calibration varied widely between the studies and less so between the studied algorithms. The mean area under the curve was 0.82 for mortality and 0.77 for unfavorable outcomes in the CENTER-TBI study. Conclusion: ML algorithms may not outperform traditional regression approaches in a low-dimensional setting for outcome prediction after moderate or severe traumatic brain injury. Similar to regression-based prediction models, ML algorithms should be rigorously validated to ensure applicability to new populations

Variation in Structure and Process of Care in Traumatic Brain Injury: Provider Profiles of European Neurotrauma Centers Participating in the CENTER-TBI Study.

INTRODUCTION: The strength of evidence underpinning care and treatment recommendations in traumatic brain injury (TBI) is low. Comparative effectiveness research (CER) has been proposed as a framework to provide evidence for optimal care for TBI patients. The first step in CER is to map the existing variation. The aim of current study is to quantify variation in general structural and process characteristics among centers participating in the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study. METHODS: We designed a set of 11 provider profiling questionnaires with 321 questions about various aspects of TBI care, chosen based on literature and expert opinion. After pilot testing, questionnaires were disseminated to 71 centers from 20 countries participating in the CENTER-TBI study. Reliability of questionnaires was estimated by calculating a concordance rate among 5% duplicate questions. RESULTS: All 71 centers completed the questionnaires. Median concordance rate among duplicate questions was 0.85. The majority of centers were academic hospitals (n = 65, 92%), designated as a level I trauma center (n = 48, 68%) and situated in an urban location (n = 70, 99%). The availability of facilities for neuro-trauma care varied across centers; e.g. 40 (57%) had a dedicated neuro-intensive care unit (ICU), 36 (51%) had an in-hospital rehabilitation unit and the organization of the ICU was closed in 64% (n = 45) of the centers. In addition, we found wide variation in processes of care, such as the ICU admission policy and intracranial pressure monitoring policy among centers. CONCLUSION: Even among high-volume, specialized neurotrauma centers there is substantial variation in structures and processes of TBI care. This variation provides an opportunity to study effectiveness of specific aspects of TBI care and to identify best practices with CER approaches

Multiplicity dependence of inclusive J/psi production at midrapidity in pp collisions at root s=13 TeV

Measurements of the inclusive J/psi yield as a function of charged-particle pseudorapidity density dN(ch)/d eta in pp collisions at root s = 13 TeV with ALICE at the LHC are reported. The J/psi meson yield is measured at midrapidity (vertical bar y vertical bar <0.9) in the dielectron channel, for events selected based on the charged-particle multiplicity at midrapidity (vertical bar eta vertical bar <1) and at forward rapidity (-3.7 <eta <-1.7 and 2.8 <eta <5.1); both observables are normalized to their corresponding averages in minimum bias events. The increase of the normalized J/psi yield with normalized dN(ch)/d eta is significantly stronger than linear and dependent on the transverse momentum. The data are compared to theoretical predictions, which describe the observed trends well, albeit not always quantitatively. (C) 2020 European Organization for Nuclear Research. Published by Elsevier B.V.Peer reviewe