Economic efficiency of members of protected designations of origin: sharing reputation indicators in the experience goods of wine and cheese

The aim of this paper is to analyse the economic efficiency of members of protected designations of origin (PDO). For the first time we analyse the value of PDO labels from the point of view of economic efficiency. The central hypothesis is that a PDO has a positive impact on the economic efficiency of its member companies and that this is because a PDO label is a collective reputation indicator that foments efficient investment in quality in terms of member returns. The methodology applied to test this hypothesis is based on data envelopment analysis to estimate economic efficiency, and econometric models to explain company efficiency through both the PDO label, as an indicator of collective reputation, and the characteristics of the company. The results obtained in the experience goods of wine and cheese in Spain show that PDO labels have a positive impact on economic efficiency. Additionally, the age and size of the company have a positive effect while the wage level of the company has a different influence on efficiency depending on the sector considered. Overall, the results reveal the importance of PDOs in industries in which the signal of reputation is not only reliant on the individual brands.

El relevo de género en la elaboración alfarera. El caso de las comunidades Guaitil y San Vicente, provincia de Guanacaste, Costa Rica

Resumen El artículo presenta un breve recorrido por la historia reciente de las comunidades alfareras costarricenses de Guaitil y San Vicente, en la región Chorotega. Profundiza en el cambio intergeneracional y el relevo de género que comprometen el mantenimiento de esta tradición ancestral. Asimismo introduce la importancia que tienen los sellos de calidad diferenciada por territorio, como las denominaciones de origen (DO): una herramienta de rescate, valoración y protección de estos saberes culturales. El aporte al conocimiento de la actividad alfarera en Guaitil y San Vicente presenta datos de un censo realizado por el centro especializado CadenAgro de la Universidad Nacional de Costa Rica (UNA) en los talleres artesanos. La información obtenida muestra un panorama para la gestión a largo plazo de la DO que garantice el mantenimiento de las prácticas culturales de las comunidades artesanas. Abstract The article presents a brief overview of the recent history of potter Costa Rican communities Guaitil and San Vicente, in the Chorotega region. It deepen is intergenerational change and gender relay involving the maintenance of this ancient tradition. It also introduces the importance of quality labels differentiated by territory, as designations of origin (DO): a rescue tool, valuation and protection of this cultural knowledge. The contribution to knowledge of the activity of pottery in San Vicente and Guaitil presents data from a census conducted by the specialized center CadenAgro of the National University of Costa Rica (UNA) in artisan workshops. The information obtained shows an overview for long-term management of DO to ensure the maintenance of the cultural practices of artisan communities.

New bodipy dyads for two-photons fluorescence imaging in cells

Fluorescent probes are essential tools for studying biological systems. The last decade has witnessed particular interest in the development of two-photon excitable probes, due to their advantageous features in tissue imaging compared to the corresponding one-photon probes [1]. Recently, we have designed and synthetized an aminonaphthalimide–BODIPY derivative as energy transfer cassettes and were found to show very fast and efficient BODIPY fluorescence sensitization [2]. This was observed upon one- and two-photon excitation, which extends the application range of the investigated bichromophoric dyads in terms of accessible excitation wavelengths. In order to increase the two-photon absorption of the system aminonaphthalimide fluorophore was replace with a Prodan analog (BODIPY dyad 1), which presents found a variety of applications as probes and labels in biology [3]. The two-photon absorption cross-section  of the dyads is significantly incremented by the presence of the 6-acetyl-2-naphthylamine donor group. The emission maximum of a BODIPY fluorophore can significantly be red-shifted in comparison to their precursors by conjugation with aromatic aldehydes. [4] We use a synthetic strategy to obtain BODIPY dyad 2 that incorporates an imidazole ring. This molecule can be used in biological media as a near-neutral pH indicator based on one- and two-photon excitable BODIPY acceptor.

Prescription and over-the-counter pain medication in arthritis: awareness of active ingredients and attitudes to medication borrowing and sharing

Background:
Many Australians with arthritis self-manage their pain with prescription and/or over-the-counter pain medications, containing paracetamol. If taken appropriately, these medications are relatively safe; however, if mismanaged through patients' iinability to understand medication labels and instructions, these medications may cause adverse drug events and/or toxicities.
Aim:
This study explored the prescription and over-the-counter pain medications most commonly used by people with arthritis and the ability of these patients to correctly identify paracetamol as an active ingredient in commonly available preparations. The study also investigated the functional health literacy of these patients and their inclination to borrow and/or share pain medications.
Method:
Adult participants diagnosed with arthritis were invited to complete an anonymous survey which included questions about their prescription and over-the-counter pain medications; their medication borrowing and sharing behaviours; their functional health literacy; and their knowledge about preparations containing paracetamol as an active ingredient.
Results:
Most of the 254 participants used analgesic agents containing paracetamol, as combination tablets (paracetamol 500 mg and codeine 30 mg) or paracetamol-only tablets (paracetamol 665 mg) to self-manage their pain. Respondents with low functional health literacy scores were significantly less likely to identify paracetamol as an active ingredient in both combination and paracetamol-only pharmaceutical products, and were more likely to guess or did not know how to identify that paracetamol was an active ingredient in these products. Almost 30% of the respondents indicated that they had and/or intended to borrow/share their over-the-counter
pain medications whereas less than 10% suggested that they had and/or intended to borrow/share their prescription pain medication.
Conclusion:
Australians with arthritis, especially those with low functional health literacy scores, self-managing their pain with paracetamol-containing products, do not always recognise paracetamol as an active ingredient in combination products, and may risk potential paracetamol-related adverse effects and/or toxicities.

Predictors of awareness of standard drink labelling and drinking guidelines to reduce negative health effects among Australian drinkers

INTRODUCTION AND AIMS: This study examined rates of awareness of standard drink labelling and drinking guidelines among Australian adult drinkers. Demographic predictors of these two outcomes were also explored.

DESIGN AND METHODS: Online survey panel participants aged 18-45 years(n = 1061; mean age = 33.2 years) completed an online survey assessing demographics, alcohol consumption patterns, awareness of standard drink labels and the National Health and Medical Research Council (NHMRC) guidelines, and support for more detailed labels.

RESULTS: The majority (80%) of participants had seen standard drink labels on alcohol products; with younger drinkers, those from a regional/rural location and high-risk drinkers significantly more likely to have seen such labelling. Most respondents estimated at or below the maximum number of drinks stipulated in the NHMRC guidelines. However, their estimates of the levels for male drinkers were significantly higher than for female drinkers. High-risk drinkers were significantly less likely to provide accurate estimates, while those who had seen the standard drink logo were significantly more likely to provide accurate estimates of drinking levels to reduce the risk of long-term harms only. Just under three-quarters of respondents supported the inclusion of more information on labels regarding guidelines to reduce negative health effects.

DISCUSSION AND CONCLUSIONS: The current standard drink labelling approach fails to address high-risk drinkers. The inclusion of information about NHMRC guidelines on alcohol labels, and placing standard drink labelling on the front of products could improve awareness of what constitutes a standard drink and safe levels of consumption among Australian drinkers.

Effects of a community-based salt reduction program in a regional Australian population

BACKGROUND: Salt reduction is a public health priority but there are few studies testing the efficacy of plausible salt reduction programs.

METHODS: A multi-faceted, community-based salt reduction program using the Communication for Behavioral Impact framework was implemented in Lithgow, Australia. Single 24-h urine samples were obtained from 419 individuals at baseline (2011) and from 572 at follow-up (2014). Information about knowledge and behaviors relating to salt was also collected.

RESULTS: Survey participants were on average 56 years old and 58 % female. Mean salt intake estimated from 24-h urine samples fell from 8.8 g/day (SD = 3.6 g/day) in 2011 to 8.0 (3.6) g/day in 2014 (-0.80, 95 % confidence interval -1.2 to -0.3;p < 0.001). There were significant increases in the proportion of participants that knew the recommended upper limit of salt intake (18 % vs. 29 %; p < 0.001), knew the importance of salt reduction (64 % vs. 78 %; p < 0.001) and reported changing their behaviors to reduce their salt intake by using spices (5 % vs. 28 %; p < 0.001) and avoiding eating out (21 % vs. 34 %; p < 0.001). However, the proportions that checked food labels (30 % vs. 25 %; p = 0.02) fell, as did the numbers avoiding processed foods (44 % vs. 35 %; p = 0.006). Twenty-six percent reported using salt substitute at the end of the intervention period and 90 % had heard about the program. Findings were robust to multivariable adjustment.

CONCLUSIONS: Implementation of this multi-faceted community-based program was associated with a ~10 % reduction in salt consumption in an Australian regional town. These findings highlight the potential of well-designed health promotion programs to compliment other population-based strategies to bring about much-needed reductions in salt consumption.

Integrating early intervention for borderline personality disorder and mood disorders

Borderline personality disorder (BPD) has been demonstrated to be a reliable and valid construct in young people (adolescents and young adults). Both borderline- and mood-related psychopathology become clinically apparent from puberty through to young adulthood, frequently co-occur, can reinforce one another, and can be difficult to differentiate clinically. This Gordian knot of overlapping clinical features, common risk factors, and precursors to both BPD and mood disorders complicates clinical assessment, prevention, and treatment. Regardless of whether an individual crosses an arbitrary diagnostic threshold, a considerable proportion of young people with borderline- and mood-related psychopathology will develop significant and persistent functional, vocational, and interpersonal impairment and disability during this critical risk and developmental period. There is a clear need for early intervention, but spurious diagnostic certainty risks stigma, misapplication of diagnostic labels, inappropriate treatment, and unfavorable outcomes. This article aims to integrate early intervention for BPD and mood disorders in the clinical context of developmental and phenomenological change and evolution. "Clinical staging," similar to disease staging in general medicine, is presented as a pragmatic, heuristic, and trans-diagnostic framework to guide prevention and intervention. It acknowledges that the early stages of these disorders cannot be disentangled sufficiently to allow for disorder-specific preventive measures and early interventions. Clinical staging defines an individual's location along the continuum of the evolving temporal course of a disorder. Such staging aids differentiation of early or milder clinical phenomena from those that accompany illness progression and chronicity, and suggests the application of appropriate and proportionate intervention strategies.

Mechanisms of influence: alcohol industry submissions to the inquiry into fetal alcohol spectrum disorders

INTRODUCTION AND AIMS: Industry groups with vested interests in policy regularly work to protect their profits via the endorsement of ineffective voluntary regulation and interventions, extensive lobbying activity and minimising the health impact of consumption behaviours. This study aims to examine all alcohol industry submissions to the Australian House of Representatives Standing Committee on Social Policy and Legal Affairs into Fetal Alcohol Spectrum Disorders (FASD), to assist in understanding how those with vested interests contribute to policy development. The analysis aims to document the strategies and arguments used by alcohol industry bodies in their submissions and to compare these with known strategies of vested-interest groups. DESIGN AND METHODS: All 92 submissions to the Inquiry were screened to include only those submitted by alcohol industry bodies (five submissions). Content domains were derived based on the major themes emerging from the industry submissions and on common vested-interest behaviours identified in previous literature. RESULTS: The following content categories were identified: Concerns about FASD; Current industry activities and FASD prevention; Value of mandatory warning labels; and Credibility of independent public health researchers and organisations. DISCUSSION AND CONCLUSIONS: Alcohol industry submissions sought to undermine community concern, debate the evidence, promote ineffective measure which are no threat to the profit margins and attack independent health professionals and researchers. In doing so, their behaviour is entirely consistent with their responses to other issues, such as violence and chronic health, and copies the tactics employed by the tobacco industry.

Multi-label approach for human-face classification

Single-label classification models have been widely used for human-face classification. In this paper, we present a multi-label classification approach for human-face classification. Multi-label classification is more appropriate in the real world because a human-face can be associated with multiple labels. Demographic information can be derived and utilized along with facial expression in the field of face classification to assist with multi label classification. Gabor filters; Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) methods, are used to extract and project representative demographic information from facial images. For evaluation, five classification algorithms were used. We evaluate the proposed approach by performing experiments on Yale face images database. Results show the effectiveness of multi-label classification algorithms.

'A dark / Inscrutable workmanship:' Shining a ‘scientific’ light on emotion and poiesis

Max Nordau’s physiognomic study of criminality, Degeneration (1895), notably dedicated to the Italian pioneer of criminal anthropology Cesare Lombroso, labels poets and other artists—alongside criminals, prostitutes, anarchists, and lunatics—as ‘degenerates’. The Symbolist poets come under particular scrutiny in Nordau’s pseudo-scientific study. Paul Verlaine is described as ‘a repulsive degenerate subject with asymmetric skull and Mongolian face’ (1920 [1895]:128), while Stéphane Mallarmé is said to have ‘long, pointed, faun-like ears’ (131). The emotional and metaphorical intensity of their poetry, for Nordau, is another reflection of their alleged degeneracy. These poets write ‘twaddle’ (116), engaging in a ‘babbling and stammering’ (119) resonant of children and animals, which only ‘imbeciles and idiots’ profess to understand. While the Symbolists are viewed as avant-garde, Nordau is at pains to demonstrate that their irrational use of language actually exposes them as atavistic. Nordau proclaims: ‘clear speech serves the purpose of communication of the actual’ (118). By contrast, the Symbolists, ‘so far as they are honestly degenerate and imbecile, can think only in a mystical, that is, in a confused way… their emotions override their ideas.’

Identified by Nordau as one of the fin de siècle’s degenerates, Oscar Wilde evoked Nordau’s book in a petition for clemency when he was imprisoned in 1896, arguing that Nordau’s findings proved he required medical rather than punitive intervention. His plea was not successful, with Wilde later quipping: ‘I quite agree with Dr Nordau’s assertion that all men of genius are insane, but Dr Nordau forgets that all sane people are idiots’ (cited in Hitchens 2000: 18).

A hybrid approach to clustering in big data

Clustering of big data has received much attention recently. In this paper, we present a new clusiVAT algorithm and compare it with four other popular data clustering algorithms. Three of the four comparison methods are based on the well known, classical batch k-means model. Specifically, we use k-means, single pass k-means, online k-means, and clustering using representatives (CURE) for numerical comparisons. clusiVAT is based on sampling the data, imaging the reordered distance matrix to estimate the number of clusters in the data visually, clustering the samples using a relative of single linkage (SL), and then noniteratively extending the labels to the rest of the data-set using the nearest prototype rule. Previous work has established that clusiVAT produces true SL clusters in compact-separated data. We have performed experiments to show that k-means and its modified algorithms suffer from initialization issues that cause many failures. On the other hand, clusiVAT needs no initialization, and almost always finds partitions that accurately match ground truth labels in labeled data. CURE also finds SL type partitions but is much slower than the other four algorithms. In our experiments, clusiVAT proves to be the fastest and most accurate of the five algorithms; e.g., it recovers 97% of the ground truth labels in the real world KDD-99 cup data (4 292 637 samples in 41 dimensions) in 76 s.

Agents actifs toxiques dans les produits éclaircissants et leurs impacts sur le microbiome cutané humain

Les produits cosmétiques sont des substances utilisées pour entretenir ou modifier l'aspect des parties superficielles du corps humain (telles que la peau, les ongles ou les cheveux). Dans de nombreux pays d’Afrique et d’Asie et dans certaines communautés africaines immigrantes, plusieurs femmes et parfois des hommes utilisent des produits contenant des agents actifs tels que le mercure, l’hydroquinone et le propionate de clobétasol pour éclaircir leur peau. Ces principaux agents sont toxiques et leur présence dans les cosmétiques est règlementée, voire interdite, dans plusieurs pays. Dans notre étude, nous avons déterminé les concentrations de ces ingrédients dans plusieurs produits utilisés en Afrique de l’Ouest et au Canada. Nous avons également exploré l’effet de ces produits sur le microbiome cutané. Nos résultats révèlent que 68 à 84% des crèmes et 7.5 à 65% des savons dépassent les normes lorsqu’on considère l’interdiction de mercure, d’hydroquinone et de propionate de clobétasol et les concentrations déclarées sur les étiquettes ne sont pas souvent fiables. Selon la diversité de Shannon, il semble y avoir plus d’équitabilité, et donc moins de dominance dans le groupe des femmes utilisant les crèmes éclaircissantes que dans le groupe des femmes qui ne les utilisent pas. Par ailleurs, nous n’avons pas trouvé de différences significatives au niveau du microbiome cutané du groupe avec crèmes et sans crèmes au niveau du phylum et du genre. Cependant, d’autres méthodes plus approfondies avec plus d’échantillonnage pourraient révéler à des échelles plus fines (espèces, souches, etc.) l’effet de ces produits sur le microbiome cutané.

AUTOMATIC LABELING OF RSS ARTICLES USING ONLINE LATENT DIRICHLET ALLOCATION

The amount of information contained within the Internet has exploded in recent decades. As more and more news, blogs, and many other kinds of articles that are published on the Internet, categorization of articles and documents are increasingly desired. Among the approaches to categorize articles, labeling is one of the most common method; it provides a relatively intuitive and effective way to separate articles into different categories. However, manual labeling is limited by its efficiency, even thought the labels selected manually have relatively high quality. This report explores the topic modeling approach of Online Latent Dirichlet Allocation (Online-LDA). Additionally, a method to automatically label articles with their latent topics by combining the Online-LDA posterior with a probabilistic automatic labeling algorithm is implemented. The goal of this report is to examine the accuracy of the labels generated automatically by a topic model and probabilistic relevance algorithm for a set of real-world, dynamically updated articles from an online Rich Site Summary (RSS) service.

SCALABLE APPROXIMATION OF KERNEL FUZZY C-MEANS

Virtually every sector of business and industry that uses computing, including financial analysis, search engines, and electronic commerce, incorporate Big Data analysis into their business model. Sophisticated clustering algorithms are popular for deducing the nature of data by assigning labels to unlabeled data. We address two main challenges in Big Data. First, by definition, the volume of Big Data is too large to be loaded into a computer’s memory (this volume changes based on the computer used or available, but there is always a data set that is too large for any computer). Second, in real-time applications, the velocity of new incoming data prevents historical data from being stored and future data from being accessed. Therefore, we propose our Streaming Kernel Fuzzy c-Means (stKFCM) algorithm, which reduces both computational complexity and space complexity significantly. The proposed stKFCM only requires O(n2) memory where n is the (predetermined) size of a data subset (or data chunk) at each time step, which makes this algorithm truly scalable (as n can be chosen based on the available memory). Furthermore, only 2n2 elements of the full N × N (where N >> n) kernel matrix need to be calculated at each time-step, thus reducing both the computation time in producing the kernel elements and also the complexity of the FCM algorithm. Empirical results show that stKFCM, even with relatively very small n, can provide clustering performance as accurately as kernel fuzzy c-means run on the entire data set while achieving a significant speedup.

A SURVEY OF DISTANCE MAGIC GRAPHS

In this report, we survey results on distance magic graphs and some closely related graphs. A distance magic labeling of a graph G with magic constant k is a bijection l from the vertex set to {1, 2, . . . , n}, such that for every vertex x Σ l(y) = k,y∈NG(x) where NG(x) is the set of vertices of G adjacent to x. If the graph G has a distance magic labeling we say that G is a distance magic graph. In Chapter 1, we explore the background of distance magic graphs by introducing examples of magic squares, magic graphs, and distance magic graphs. In Chapter 2, we begin by examining some basic results on distance magic graphs. We next look at results on different graph structures including regular graphs, multipartite graphs, graph products, join graphs, and splitting graphs. We conclude with other perspectives on distance magic graphs including embedding theorems, the matrix representation of distance magic graphs, lifted magic rectangles, and distance magic constants. In Chapter 3, we study graph labelings that retain the same labels as distance magic labelings, but alter the definition in some other way. These labelings include balanced distance magic labelings, closed distance magic labelings, D-distance magic labelings, and distance antimagic labelings. In Chapter 4, we examine results on neighborhood magic labelings, group distance magic labelings, and group distance antimagic labelings. These graph labelings change the label set, but are otherwise similar to distance magic graphs. In Chapter 5, we examine some applications of distance magic and distance antimagic labeling to the fair scheduling of tournaments. In Chapter 6, we conclude with some open problems.