1,720,998 research outputs found

    Human kin recognition is self- rather than family-referential

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    Inclusive fitness theory predicts that organisms will tend to help close kin more than less related individuals. In a variety of birds and mammals, relatives are recognized by comparing their phenotype to an internal representation or template, which might be learned through either repeated exposure to family members or self-inspection. Mirrors are ubiquitous now, but were absent during our evolutionary history; hence it is hard to predict, and empirically unknown, whether human kin recognition is family- or self-referential. Here we put this issue to the strongest possible test by comparing nepotistic behaviour towards self- versus co-twin-resemblant individuals. Seventy monozygotic and dizygotic twins were shown same-sex faces, covertly manipulated to resemble either themselves or their co-twin, and indicated which individual they would prefer in two prosocial contexts. Self-resemblant faces were significantly preferred to twin-resemblant faces, showing that visual information about the self supersedes that about close family members in the kin-recognition template. Because, under conditions of paternal uncertainty, a reliable family-referent template could be based only on one’s mother and maternal relatives, a unique advantage of self-referent phenotype matching is the possibility of (consciously or unconsciously) identifying one’s father and paternal relatives as kin

    L'informatica nella gestione dell'azienda agricola

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    Istituto di Tecnica e Propaganda Agraria, Rom

    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

    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

    Author Index

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    Microalgae photobioreactors integrated with biogas cogeneration plants: preliminary analysis for CO2 capture, nitrogen removal and energy recovery

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    Introduction Some of the issues open for cogeneration plants fueled with biogas from anaerobic digestion of manure are: - CO2 capture from the exhaust gases, in order to reduce greenhouse gases emissions; - nitrogen removal from the manure after anaerobic digestion, for a perspective agronomic use in sensitive areas like the Po Valley. The chemical and physical processes nowadays adopted for these tasks are expensive and feasible for large installations only. Fixing CO2 by bioreactors for algae production seems to be an alternative methodology better suitable for distributed cogeneration plants, more over this also allow to considerably reduce nitrogen loads from manure anaerobic digestion. The aim of this study is to propose a multidisciplinary approach to bioprocess engineering aspects, providing indications of system design. Methods The proposed technology for cogeneration system consists of an internal combustion engine and an anaerobic digester fed with sewage and manure from cattle, and supplemented vegetable biomass. The plant is 200 kW nominal electric power. It is supposed to produce exhaust gases with CO2 contents for about 5100 kg/day loading and a liquid digestate flow as about 50 m3/day. The simulation model is expected to use the Spirulina microalgae for the algal biomass production in photobioreactors for CO2 sequestering and nitrogen removal. The algal produced biomass is dried up to 15% moisture content and successively sent to a gasification unit. Results The system analysis allows to estimate a projected capacity of CO2 fixation by about 136 kg/h and a nitrogen removal rate by about 4 kg/h, according to the considered size of cogeneration plant. The analysis also simulates the thermodynamic behavior of a downdraft gasification reactor fed with dried Spirulina sp. Two alternative gas mixtures were considered as gasifying agents: Oxygen with Water Vapor and Air with Water Vapor. Equivalence ratio was respectively fixed to 0.25 and 0.30 in the two cases. The simulation model provided the following results: Oxygen + Water Vapor: gas flow = 157 Nm3/h; LHV = 8814 KJ/Nm3 Air + Water Vapor: gas flow = 266 Nm3/h; LHV = 4782 KJ/Nm3 Conclusions The preliminary carried out analysis provides a tool for plant engineering evaluating choices in terms of environmental sustainability and energy efficiency
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