1,721,123 research outputs found

    L’antropologia, la destra e la grande impresa patrimoniale

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    Questo articolo propone una rivalutazione critica dei processi contemporanei di patrimonializzazione, collocandoli all’incrocio tra politiche culturali, regimi giuridici e la riconfigurazione degli immaginari di appartenenza nel tardo capitalismo. Attingendo a Gramsci, l’autore mette in discussione il presupposto di una società civile politicamente progressista e fondata sul patrimonio culturale, ed evidenzia le ambiguità politiche delle pratiche partecipative che, anziché sfidare le logiche dominanti, spesso contribuiscono a processi di essenzializzazione, oggettivazione e mercificazione della cultura. Combinando la riflessione teorico-politica con riferimenti etnografici, l’articolo problematizza anche il ruolo dell’antropologia quando si intreccia con la «macchina del patrimonio», interrogandone i fondamenti epistemologici e gli effetti ideologic

    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

    Statistical Process Control for low fraction nonconforming manufacturing

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    Università di Napoli "Federico II", Facoltà di Ingegneri

    Function-on-function regression for assessing production quality in industrial manufacturing

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    Key responses of manufacturing processes are often represented by spatially or time-ordered data known as functional data. In practice, these are usually treated by extracting one or few representative scalar features from them to be used in the following analysis, with the risk of discarding relevant information available in the whole profile and of drawing only partial conclusions. To avoid that, new and more sophisticated methods can be retrieved from the functional data analysis (FDA) literature. In this work, that represents a contribution in the direction of integrating FDA methods into the manufacturing field, the use of function-on-function linear regression modelling is proposed. The approach is based on a finite-dimensional approximation of the regression coefficient function by means of two sets of basis functions, and two roughness penalties to control the degree of smoothness of the final estimator. The potential of the proposed method is demonstrated by applying it to a real-life case study in powder bed fusion additive manufacturing for metals to predict the mechanical properties of an additively manufactured artefact, given the particle size distribution of the powder used for its production
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