The Book of Enchantments: The anthology as a cultural technique in a comparative perspective

Antologizzare è una tecnica culturale, cioè un insieme di operazioni simboliche e auto-referenziali che ha in sé la propria ragione d’essere, che eleva a contenuto le proprie scelte. Se però il contenuto di un’antologia è ciò che determina l’antologia stessa, è vero anche che un’antologia trasforma ciò che contiene. Queste trasformazioni variano a seconda dei paradigmi culturali verso cui si orienta chi prepara e allestisce l’antologia. Questo saggio esplora tre paradigmi che hanno plasmato il periodo a cavallo tra i due millenni: il museo, l’atlante e l’incantesimo.To anthologize is a cultural technique, comprising a set of symbolic and self-referential operations that inherently justify themselves, elevating their choices to content. However, if the content of an anthology determines the anthology itself, it is also true that an anthology transforms what it contains. These transformations vary depending on the cultural paradigms towards which those who compile and arrange the anthology are oriented. This essay explores three paradigms that have shaped the period around the turn of the millennia: the museum, the atlas, and enchantment

Schiff und Schrift: Zum Verhältnis zwischen Literatur und Globalisierung – Einleitung

In Luis de Camoes's epic The Lusiads, diverse semantic levels of writing overlap. The intertwining of poetry and documentation results here in perspectives on writing that judge it in different ways, since a tension springs up in The Lusiads between poetry and the new fields of knowledge concerning experimental 'New Science' and nautical experience. With respect to the poetics of The Lusiads, this tension becomes evident when a line is drawn from the Renaissance to classical antiquity. A further level of writing can be seen in the field of the shipping of writings - primarily of the founding work of The Lusiads - which was, from a textually external point of view and from that of the history of the media - facilitated by book printing;conversely, the process of writing down ships, that is, their routes registered on maps and in the periplus, manifests itself in Camoes's epic in the form of a documentary mode of writing

ABVD plus radiotherapy versus EVE plus radiotherapy in unfavorable stage IA and IIA Hodgkin's lymphoma: results from an Intergruppo Italiano Linfomi randomized study.

BACKGROUND: In 1997, the Intergruppo Italiano Linfomi started a randomized trial to evaluate, in unfavorable stage IA and IIA Hodgkin's lymphoma (HL) patients, the efficacy and toxicity of the low toxic epirubicin, vinblastine and etoposide (EVE) regimen followed by involved field radiotherapy in comparison to the gold standard doxorubicin, bleomycin, vinblastine and dacarbazine (ABVD) regimen followed by the same radiotherapy program. PATIENTS AND METHODS: Patients should be younger than 65 years with unfavorable stage IA and IIA HL (i.e. stage IA or IIA with bulky disease and/or subdiaphragmatic disease, erythrocyte sedimentation rate higher than 40, extranodal (E) involvement, hilar involvement and more than three involved lymph node areas). RESULTS: Ninety-two patients were allocated to the ABVD arm and 89 to the EVE arm. Complete remission (CR) rates at the end of treatment program [chemotherapy (CT) + RT] were 93% and 92% for ABVD and EVE arms, respectively (P = NS). The 5-year relapse-free survival (RFS) rate was 95% for ABVD and 78% for EVE (P < 0.05). As a consequence of the different relapse rate, the 5-year failure-free survival (FFS) rate was significantly better for ABVD (90%) than for EVE (73%) arm (P < 0.05). No differences in terms of overall survival (OS) were observed for the two study arms. CONCLUSIONS: In unfavorable stage IA and IIA HL patients, no differences were observed between ABVD and EVE arms in terms of CR rate and OS. EVE CT, however, was significantly worse than ABVD in terms of RFS and FFS and cannot be recommended as initial treatment for HL

Consensus document on controversial issues for the treatment of infections of the central nervous system: bacterial brain abscesses

Summary Background Bacterial brain abscesses remain a serious central nervous system problem despite advances in neurosurgical, neuroimaging, and microbiological techniques and the availability of new antibiotics. The successful treatment of brain abscesses requires surgery, appropriate antibiotic therapy, and eradication of the primary source; nevertheless many controversial issues on the management of this serious infection remain unresolved. Controversial issues The aim of this GISIG (Gruppo Italiano di Studio sulle Infezioni Gravi) working group – a panel of multidisciplinary experts – was to define recommendations for some controversial issues using an evidence-based and analytical approach. The controversial issues were: (1) Which patients with bacterial brain abscesses can be managed safely using medical treatment alone? (1a) What is the efficacy in terms of outcome, tolerability, cost/efficacy, and quality of life of the different antibiotic regimens used to treat bacterial cerebral abscesses? (1b) Which antibiotics have the best pharmacokinetics and/or tissue penetration of brain and/or brain abscess? 2) What is the best surgical approach in terms of outcome in managing bacterial brain abscesses? Results are presented and discussed in detail. Methods A systematic literature search using the MEDLINE database for the period 1988 to 2008 of randomized controlled trials and/or non-randomized studies was performed. A matrix was created to extract evidence from original studies using the CONSORT method to evaluate randomized clinical trials and the Newcastle–Ottawa Quality Assessment Scale for case–control studies, longitudinal cohorts, and retrospective studies. The GRADE method for grading quality of evidence and strength of recommendation was applied

Splenic marginal zone lymphoma: a prognostic model for clinical use.

The Integruppo Italiano Linfomi (IIL) carried out a study to assess the outcomes of splenic marginal zone lymphoma and to identify prognostic factors in 309 patients. The 5-year cause-specific survival (CSS) rate was 76%. In univariate analysis, the parameters predictive of shorter CSS were hemoglobin levels below 12 g/dL (P < .001), albumin levels below 3.5 g/dL (P = .001), International Prognostic Index (IPI) scores of 2 to 3 (P < .001), lactate dehydrogenase (LDH) levels above normal (P < .001), age older than 60 years (P = .01), platelet counts below 100 000/μL (P = .04), HbsAg-positivity (P = .01), and no splenectomy at diagnosis (P = .006). Values that maintained a negative influence on CSS in multivariate analysis were hemoglobin level less than 12 g/dL, LDH level greater than normal, and albumin level less than 3.5 g/dL. Using these 3 variables, we grouped patients into 3 prognostic categories: low-risk group (41%) with no adverse factors, intermediate-risk group (34%) with one adverse factor, and high-risk group (25%) with 2 or 3 adverse factors. The 5-year CSS rate was 88% for the low-risk group, 73% for the intermediate-risk group, and 50% for the high-risk group. The cause-specific mortality rate (x 1000 person-years) was 20 for the low-risk group, 47 for the intermediate-risk group, and 174 for the high-risk group. This latter group accounted for 54% of all lymphoma-related deaths. In conclusion, with the use of readily available factors, this prognostic index may be an effective tool for evaluating the need for treatment and the intensity of therapy in an individual patient. © 2006 by The American Society of Hematology

Intelligenza artificiale e sicurezza: opportunità, rischi e raccomandazioni

L'IA (o intelligenza artificiale) è una disciplina in forte espansione negli ultimi anni e lo sarà sempre più nel prossimo futuro: tuttavia è dal 1956 che l’IA studia l’emulazione dell’intelligenza da parte delle macchine, intese come software e in certi casi hardware. L’IA è nata dall’idea di costruire macchine che - ispirandosi ai processi legati all’intelligenza umana - siano in grado di risolvere problemi complessi, per i quali solitamente si ritiene che sia necessario un qualche tipo di ragionamento intelligente. La principale area di ricerca e applicazione attuale dell’IA è il machine learning (algoritmi che imparano e si adattano in base ai dati che ricevono), che negli ultimi anni ha trovato ampie applicazioni grazie alle reti neurali (modelli matematici composti da neuroni artificiali) che a loro volta hanno consentito la nascita del deep learning (reti neurali di maggiore complessità). Appartengono al mondo dell’IA anche i sistemi esperti, la visione artificiale, il riconoscimento vocale, l’elaborazione del linguaggio naturale, la robotica avanzata e alcune soluzioni di cybersecurity. Quando si parla di IA c'è chi ne è entusiasta pensando alle opportunità, altri sono preoccupati poiché temono tecnologie futuristiche di un mondo in cui i robot sostituiranno l'uomo, gli toglieranno il lavoro e decideranno al suo posto. In realtà l'IA è ampiamente utilizzata già oggi in molti campi, ad esempio nei cellulari, negli oggetti smart (IoT), nelle industry 4.0, per le smart city, nei sistemi di sicurezza informatica, nei sistemi di guida autonoma (drive o parking assistant), nei chat bot di vari siti web; questi sono solo alcuni esempi basati tutti su algoritmi tipici dell’intelligenza artificiale. Grazie all'IA le aziende possono avere svariati vantaggi nel fornire servizi avanzati, personalizzati, prevedere trend, anticipare le scelte degli utenti, ecc. Ma non è tutto oro quel che luccica: ci sono talvolta problemi tecnici, interrogativi etici, rischi di sicurezza, norme e legislazioni non del tutto chiare. Le organizzazioni che già adottano soluzioni basate sull’IA, o quelle che intendono farlo, potrebbero beneficiare di questa pubblicazione per approfondirne le opportunità, i rischi e le relative contromisure. La Community for Security del Clusit si augura che questa pubblicazione possa fornire ai lettori un utile quadro d’insieme di una realtà, come l’intelligenza artificiale, che ci accompagnerà sempre più nella vita personale, sociale e lavorativa.AI (or artificial intelligence) is a booming discipline in recent years and will be increasingly so in the near future.However, it is since 1956 that AI has been studying the emulation of intelligence by machines, understood as software and in some cases hardware. AI arose from the idea of building machines that-inspired by processes related to human intelligence-are able to solve complex problems, for which it is usually believed that some kind of intelligent reasoning is required. The main current area of AI research and application is machine learning (algorithms that learn and adapt based on the data they receive), which has found wide applications in recent years thanks to neural networks (mathematical models composed of artificial neurons), which in turn have enabled the emergence of deep learning (neural networks of greater complexity). Also belonging to the AI world are expert systems, computer vision, speech recognition, natural language processing, advanced robotics and some cybersecurity solutions. When it comes to AI there are those who are enthusiastic about it thinking of the opportunities, others are concerned as they fear futuristic technologies of a world where robots will replace humans, take away their jobs and make decisions for them. In reality, AI is already widely used in many fields, for example, in cell phones, smart objects (IoT), industries 4.0, for smart cities, cybersecurity systems, autonomous driving systems (drive or parking assistant), chat bots on various websites; these are just a few examples all based on typical artificial intelligence algorithms. Thanks to AI, companies can have a variety of advantages in providing advanced, personalized services, predicting trends, anticipating user choices, etc. But not all that glitters is gold: there are sometimes technical problems, ethical questions, security risks, and standards and legislation that are not entirely clear. Organizations already adopting AI-based solutions, or those planning to do so, could benefit from this publication to learn more about the opportunities, risks, and related countermeasures. Clusit's Community for Security hopes that this publication will provide readers with a useful overview of a reality, such as artificial intelligence, that will increasingly accompany us in our personal, social and working lives