1,720,974 research outputs found

    Variability in the characteristics of fresh meat and thighs in relationship to genetic type of the heavy pig

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    The variability in the characteristics of fresh meat and thighs in relationship with genetic type was studied on 22 lots of heavy pigs, comprising 615 female and castrated males, randomly chosen during slaughtering in groups of 20 to 30 animals per lot. Four different genetic types reared for the production of the San Daniele dry-cured ham PDO were considered: two traditionals (Large White or Duroc x (Landrace x Large White) and two industrial hybrids (GOLAND and DANBRED). Fresh meat samples from longissimus dorsi muscle were collected to perform chemical and physical analysis. The right trimmed thighs were used to evaluate some morphological parameters along with weight losses during seasoning. The genetic type confirmed its important influence on pig carcass, meat and ham quality. The two industrial types, DANBRED in particular, tended to present a lower back fat values and a leaner carcass than the two Italian genetic types. Within the most important characteristics for the production of dry cured hams (subcutaneous fat thickness and seasoning losses) the highest differences were found among the industrials genetic types, which cannot be simply considered as an undifferentiated homogenous group

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

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    “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

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    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

    Valutazione delle caratteristiche visive di formaggio Montasio tramite occhio elettronico

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    L’analisi dell’immagine è stata utilizzata per valutare il colore della pasta e l’occhiatura (dimensioni, forma e distribuzione) di forme di formaggio Montasio prodotte con latte proveniente da vacche (Pezzata Rossa Italiana) sottoposte a diversi livelli di integrazione alimentare (1,5 o 3,0 kg capo/giorno di concentrato a base di mais, orzo, polpe di barbabietola e soia) e allevati in sequenza su due differenti pascoli (P1: 1500 m slm; P2: 1700 m slm). Le immagini delle fette sono state acquisite tramite occhio elettronico (IRIS, Alpha MOS, France) ed elaborate dal relativo software (Alpha MOS, France). Le stesse forme di formaggio sono state valutate da un panel sensoriale addestrato (10 membri) seguendo la procedura ISO per la valutazione sensoriale di formaggi a pasta dura e semidura (ISO 22935-(1)(2)(3)/IDF 099-(1)(2)(3)). I campioni di Montasio prodotti presentano un’elevata variabilità in termini di numerosità e distribuzione degli occhi. Il tipo di pascolo influenza sia la colorazione (variazione del giallo paglierino) della pasta che la forma e la dimensione degli occhi nei formaggi prodotti. Nessuna influenza sul colore del formaggio è stata osservata in funzione della diversa integrazione della dieta. Invece l’interazione pascolo x integrazione ha un effetto significativo sulla dimensione degli occhi. Le differenze osservate, in termini di colore della pasta sono in accordo con le misure di colore L*a*b* fatte con un colorimetro digitale (CR 400, Minolta, Osaka, Japan) e le osservazioni del panel addestrato (intensità del colore, p=0.04). Le differenze tra le tesi per l’occhiatura non sono risultate significative secondo le valutazioni del panel sensoriale. Il vantaggio principale di questa applicazione sta nel fatto di poter ottenere un numero elevato di informazioni in modo accurato ed in breve tempo su caratteristiche non facilmente valutabili ad occhio nudo in tempi ragionevoli

    Cheese liking and consumer willingness to pay as affected by information about organic production

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    The present study aimed to assess the effect of information about organic production on Pecorino cheese liking and consumer willingness to pay. Mean scores of perceived liking were similar for organic cheese (OC) and conventional cheese (CC). Expected liking scores were higher for OC than for CC (P<0.001). For OC the expected liking was significantly higher (P<0.001) than the perceived liking expressed in blind conditions (negative disconfirmation), whereas for CC the expected liking was significantly lower (P<0.001) than the perceived liking expressed in blind conditions (positive disconfirmation). Consumers assimilated their liking for OC in the direction of expectations, as the difference actual vs. perceived liking was significant (P<0.001). However the assimilation was not complete, as also the difference actual liking vs. expected liking was significant (P<0.001). Consumers showed a willingness to pay OC (mean±SE=4.20±0.13 e/100 g) higher than the local retail price for conventional (1.90 e/100 g) and even organic cheese (3.00 e/100 g). We conclude that the information about organic farming can be a major determinant of cheese liking and consumer willingness to pay, thus providing a potential tool for product differentiation, particularly for small scale and traditional farms

    Dispelling the Myths Behind First-author Citation Counts

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    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
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