1,720,957 research outputs found
Effects On Consumers’ Subjective Understanding And Liking Of Front-Pack Nutritional Labels: A Study On Polish Consumers
In the last decade we have witnessed a sharp increase in food-related diseases, to the point that according to some studies half of the world population could be obese as early as 2030. This phenomenon has led many governments to undertake policies aimed at combating obesity. Among the measures implemented, one that has been much discussed in the last few years is that of front-of-pack nutritional labeling, which aims at inducing consumers to follow healthier and more balanced diets. With this study, we tested the potential effectiveness of the new labeling scheme promoted by Italy, the Nutrinform Battery, on the Polish market. In fact, Poland represents a country that has several ideal characteristics for this study: it is a large country, the fifth of the European Union by population; has a rate of food-related noncommunicable diseases similar to that of the rest of Europe and has already introduced some measures
to reduce obesity levels. Among these, there is also a nutritional front-of-pack label (Healthy Choice), which, however, has not been widely used. With 23%, Poland is the eleventh country in the European Union for obesity in the adult population. Our research compared Nutrinform, which provides specific data on the main nutrients, with Nutriscore, a system that offers a summary assessment of a product’s healthiness. The study was carried out on a representative sample of Polish consumers, who found some typical food products of the country labelled with the two systems. The results of the experiment rewarded the Nutrinform Battery, preferred by consumers for liking, complexity and help-to-shop. The Italian system resulted to be more educational than the Nutriscore, as shown by the questionnaires filled in by the participants before and after the tests. Finally, the effects of Nutrinform Battery were less variable depending on income and age
In Search of Superiority: Exploring the Effectiveness Gap of Front-of-Pack Nutritional Labels. An Assessment of Consumer’s Decision-Making Process Toward Healthier Food Choices
In recent years, increasing attention has been paid to issues on overweight and obesity. This is due to the combined effect of the focus of policymakers, aimed at solving a problem that is currently severely affecting public health in multiple countries, and a rising stream of academic research, directed at identifying the best tools to help customers make healthier food choices within a balanced and varied diet. In this respect, the use of Front-of-Pack Labels (FOPLs) on pre-packaged foods and their impact on consumer decision making have been investigated from multiple angles, with the hope of identifying a FOPL that could be considered undoubtedly superior to all others, and thus worth being standardized through the intervention of supra-national regulatory bodies.
Despite utilizing similar theoretical frameworks, two major streams of evidence emerge, depending on the underlying view on how a consumer should be supported (more guided vs. more informed) and the subsequent measurements of objective vs. subjective understanding. While on objective understanding, Summary Labels appear to be more effective, on subjective understanding, Nutrient-Specific ones are more supportive to consumers, when taking an informed food decision. Further research should be developed to arrive at a new unified theory and a clear view on which FOPL could best support consumers in their decision-making toward healthier food choices
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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