1,721,148 research outputs found
Hybrid niche-neutral model for the Gut Microbiota - part 2
No full textThe population dynamics in an ecological niche can be described by mathematical modeling. Good candidates are those arising from stochastic processes. In this talk we will compare two classical model; one derived from a Master Equation approach and the other derived from a convolution between probability distribution that resembles the overdispersed Poisson model. In this talk we focus on the applications
La collocazione obbligatoria degli invalidi civili nelle strutture ospedaliere del SS.N. di Verona
No full textLa necrosi asetticadella testa del femore conseguente a prolungata terapia con corticosteroidi. Osservazione di un caso
No full text
From smart firms to smart consumers: Complex Systems and Machine Learning for Industry 4.0
Full text linkThe Fourth Industrial Revolution, also indicated as Industry 4.0, has reinvented the way firms design, produce and distribute their products. Technologies such as Industrial Internet of Things (IIoT), cloud connectivity and Machine Learning are now deeply intertwined into the production process. This unified and integrated approach to manufacturing results in products, factories, and assets that are connected and intelligent. Accordingly, a firm can be seen as a Complex System: every aspect of the firm’s activity is strictly linked to each other and their evolution, as well as that of the whole system, depends on these connections. In other words, the evolution of every single element cannot be studied on its own but must be placed in a more holistic framework taking into account its relations with all the other elements. These systems are quantitatively studied through graph theory, which denotes the connected elements as nodes, the corresponding connections as links and allows to define metrics that quantitatively measure different kinds of importance of the nodes in the system. Another key aspect in Industry 4.0 is the possibility of extracting value from data, coming them from Complex Systems or not. These insights can be found through Machine Learning techniques, both in its supervised and unsupervised form. Accordingly, one important example of Complex System in the Industry 4.0 context will be analyzed from different opints of view: the startup ecosystem. This is defined as the set of startups and their funders. An accurate modeling of this system through graphs will be of fundamental importance for its quantitative analysis aiming at highlighting the most important elements in the ecosystem. Moreover, these quantitative information will be deployed in Machine Learning algorithms in order to forecast the most successful startups based on the information given by graph modeling. Moreover, since consumers play a more active and central role in the Fourth Industrial Revolution, a more comprehensive study of their needs and tastes is pivotal for the success of a firm. Among the economic activities, tourism is the most affected by consumers' reviews and it is also one of the most profitable. Accordingly, Natural Language Processing techniques, together with Machine Learning algorithms and Explainability tools will be employed in order to analyze tourists reviews about accomodation facilities in Puglia, a region in the South-East Italy, which has witnessed an explosion of tourists arrival. This analysis reveals what aspects of the Apulian tourist offer are appreciated the most and which have to be improved
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
A system biology approach to ionizing radiation response by mammalian cell lines
No full textA key issue when analyzing the biological effects of ionizing radiation is the selection of the biological endpoints. In this study we evaluated the effects of X-rays and protons on membrane ionic currents, cell growth and stress response. The membrane ionic currents amplitude showed a significant nonlinear effects. Growth curves showed a significant dose dependent decrease in the proliferation rate. The fluorescence data suggest a trend in which superoxide intracellular concentration decreases at lower irradiation doses compared to control and higher doses. These results are consistent with a signal transduction pathway where the concentration of superoxide is controlled by type and dose of ionizing radiatio
- …
