1,721,052 research outputs found
Night eating syndrome, binge eating disorder ed obesità: alcune riflessioni a carattere psicodinamico
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Assessing privacy risk in retail data
No full textRetail data are one of the most requested commodities by commercial companies. Unfortunately, from this data it is possible to retrieve highly sensitive information about individuals. Thus, there exists the need for accurate individual privacy risk evaluation. In this paper, we propose a methodology for assessing privacy risk in retail data. We define the data formats for representing retail data, the privacy framework for calculating privacy risk and some possible privacy attacks for this kind of data. We perform experiments in a real-world retail dataset, and show the distribution of privacy risk for the various attacks
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
Cytokines and soluble receptors of the interleukin-1 family in Schnitzler syndrome
No full textOBJECTIVES: Schnitzler syndrome (SchS) is an autoinflammatory disorder characterized by chronic urticaria, fever, and monoclonal gammopathy. The success of interleukin-1 (IL-1) blocking therapies suggests a crucial role for IL-1 in disease induction. The aim of this study is to perform a comprehensive analysis of IL-1 family cytokines and soluble receptors in a group of SchS patients. METHOD: Three patients fulfilling the criteria for the diagnosis of SchS were recruited; 80 blood donors formed the control group. IL-1 family cytokines (IL-1α, IL-1β, IL-33, IL-18), soluble receptors (sIL-1R1, sIL-1R2, sIL-1R3, sIL-1R4), and antagonists [IL-1Ra, IL-18 binding protein (IL-18BP)] were measured by a multiarray enzyme-linked immunosorbent assay. Free IL-18 was calculated as the amount of IL-18 not inhibited by IL-18BP. Cytokine levels were compared by the Mann-Whitney test. RESULTS: IL-18 and free IL-18 were increased in patients compared with controls (p = 0.005 and p = 0.0082, respectively), while IL-18BP levels were not different. IL-1α, IL-1β, and IL-33 were undetectable in both patients and controls. The soluble receptors sIL-1R1, sIL-1R2, and ST2/sIL-1R4, and the IL-1 antagonist IL-1Ra were all within normal ranges; sIL-1R3 was significantly lower in patients than in controls (p = 0.039). CONCLUSIONS: The data indicate that SchS is characterized by increased circulating levels of free IL-18, possibly leading to a higher activation of innate/inflammatory effector cells. At variance with other inflammatory diseases, the lack of increase in sIL-1R1 and sIL-1R2 and the decreased levels of sIL-R3 imply a failure in the counterbalancing mechanism aimed at inhibiting excessive IL-1β in tissues
Where do migrants and natives belong in a community: a Twitter case study and privacy risk analysis
No full textToday, many users are actively using Twitter to express their opinions and to share information. Thanks to the availability of the data, researchers have studied behaviours and social networks of these users. International migration studies have also benefited from this social media platform to improve migration statistics. Although diverse types of social networks have been studied so far on Twitter, social networks of migrants and natives have not been studied before. This paper aims to fill this gap by studying characteristics and behaviours of migrants and natives on Twitter. To do so, we perform a general assessment of features including profiles and tweets, and an extensive network analysis on the network. We find that migrants have more followers than friends. They have also tweeted more despite that both of the groups have similar account ages. More interestingly, the assortativity scores showed that users tend to connect based on nationality more than country of residence, and this is more the case for migrants than natives. Furthermore, both natives and migrants tend to connect mostly with natives. The homophilic behaviours of users are also well reflected in the communities that we detected. Our additional privacy risk analysis showed that Twitter data can be safely used without exposing sensitive information of the users, and minimise risk of re-identification, while respecting GDPR
Follicular tumors and tumor-like lesions in dogs and cats: epidemiological survey and histopathological features
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