1,720,978 research outputs found
Santa comunità, infame accademia. Le attività e le regole sui generis di un’organizzazione criminale nella novella Rinconete y Cortadillo di Cervantes
No full textNella novella Rinconete y Cortadillo, pubblicata nel 1613, Cervantes racconta la storia
di due criminali girovaghi che giunti a Siviglia si uniscono all’associazione criminale che
controlla tutte le attività criminose cittadine. L’autore descrive il mondo del crimine
capovolgendo la realtà. L’associazione assomiglia alle confraternite dell’epoca e i criminali
sono profondamente religiosi. Sono stabilite regole rigorose per tutte le attività comuni e per
dividere le responsabilità e i guadagni. L’aspetto più interessante è che tutte le attività criminali
sono eseguite secondo gli ordini del capo Monipodio, che tiene nota in un piccolo taccuino di
ogni delitto secondo criteri simili a quelli della nascente burocrazia pubblica e all’occorrenza
giudica delle controversie. Nel racconto di Cervantes le attività criminali sembrano giuste e
razionali, ironizzando in questo modo sulla corruzione della società spagnola
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Produzione di acido citrico da Aspergillus niger per fermentazione in stato solido di residui ed eccedenze del settore agro-alimentare
No full textUse of Artificial Intelligence Chatbots in Interpretation of Clinical Chemistry and Laboratory Medicine Reports: A Standardized Approach
No full textLaboratory medicine is crucial for clinical decision-making, yet result interpretation often remains challenging for patients. This study evaluates the effectiveness of an Artificial Intelligence (AI)-powered conversational system in interpreting laboratory test results, utilizing a closed-box training approach for a Claude-based virtual chatbot focused exclusively on laboratory data interpretation without clinical diagnosis. The system was tested using 100 laboratory reports from three Italian laboratories, encompassing diverse biochemical parameters and measurement standards. The laboratories employed different analytical platforms and methodologies, enabling evaluation of the chatbot’s ability to interpret results across varied instrumental settings. The interpretation accuracy was rigorously assessed through peer review by three independent medical experts with extensive laboratory medicine experience. The Claude model demonstrated complete accuracy with zero hallucinations, attributed to the controlled training environment, domain-specific prompts, and pure generation mechanisms without external data access. Patient feedback from 70 participants showed high satisfaction rates, with 90% providing positive ratings. This study demonstrates that carefully designed AI models can effectively bridge the gap between raw laboratory data and patient understanding, potentially transforming laboratory reporting systems while maintaining high accuracy and avoiding diagnostic territory. These findings have significant implications for patient empowerment and healthcare communication efficiency
Silver Nanoparticle–Silk Protein Nanocomposites: A Synergistic Biomimetic Approach for Advanced Antimicrobial Applications
No full textThe escalating global crisis of antimicrobial resistance demands innovative therapeutic strategies that transcend conventional approaches. This comprehensive review examines the groundbreaking synergistic integration of silver nanoparticles (AgNPs) with silk proteins (fibroin and sericin from Bombyx mori) to create advanced nanocomposite materials for biomedical applications. While extensive literature exists for AgNPs and silk proteins individually, a limited number of studies have explored their synergistic combination. This review consolidates this fragmented knowledge to establish the foundational framework for an emerging field. The unique properties of silk proteins as natural reducing, stabilizing, and capping agents enable environmentally friendly AgNPs synthesis while creating intelligent therapeutic platforms with emergent properties. These hybrid materials demonstrate superior performance in terms of antimicrobial efficacy, biocompatibility, and accelerated wound healing compared to the individual components. The nanocomposites exhibit broad-spectrum activity against multidrug-resistant pathogens while maintaining exceptional biocompatibility and promoting tissue regeneration. This integration represents a promising evolution toward biomimetic therapeutic platforms that work in harmony with biological systems, offering sustainable solutions to contemporary healthcare challenges
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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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