177,565 research outputs found
Poesia come teatro della mente
No full textRoberto Pazzi sceglie in 'Un giorno senza sera' il meglio di cinquantatré anni di poesia. Nato nel 1946, è uno dei pochissimi della sua generazione ad aver praticato con qualità e credibilità equivalenti poesia e narrativa, erede in questo doppio registro di autori come Pasolini, Bevilacqua, Bassani, Delfini, D'Arrigo, Ottieri, Testori, Bufalino, Volponi, Morante e Maraini. La scrittura di Pazzi, fin dall'incontro adolescente con un mentore d'eccezione come Vittorio Sereni, è stata sempre predisposta ad abbattere ogni barriera fra mito e storia, reinvenzione d'autore e autenticità documentaria, una prospettiva che favorisce l'osmosi fra i due domini della poesia e del romanzo. Poche storie poetiche sono votate a un'oralità di specie drammaturgica, fra dialogo e monologo, come quella di Pazzi. Prima di tutto, però, Roberto Pazzi è un poeta originale, che non soggiace ai capricci dell'epoca ma che crede profondamente nel valore della poesia come mezzo primario di dialogo e di comunion
(H-DIR)2: A Scalable Entropy-Based Framework for Anomaly Detection and Cybersecurity in Cloud IoT Data Centers
No full textModern cloud-based Internet of Things (IoT) infrastructures face increasingly sophisticated and diverse cyber threats that challenge traditional detection systems in terms of scalability, adaptability, and explainability. In this paper, we present (H-DIR)(2), a hybrid entropy-based framework designed to detect and mitigate anomalies in large-scale heterogeneous networks. The framework combines Shannon entropy analysis with Associated Random Neural Networks (ARNNs) and integrates semantic reasoning through RDF/SPARQL, all embedded within a distributed Apache Spark 3.5.0 pipeline. We validate (H-DIR)(2) across three critical attack scenarios-SYN Flood (TCP), DAO-DIO (RPL), and NTP amplification (UDP)-using real-world datasets. The system achieves a mean detection latency of 247 ms and an AUC of 0.978 for SYN floods. For DAO-DIO manipulations, it increases the packet delivery ratio from 81.2% to 96.4% (p < 0.01), and for NTP amplification, it reduces the peak load by 88%. The framework achieves vertical scalability across millions of endpoints and horizontal scalability on datasets exceeding 10 TB. All code, datasets, and Docker images are provided to ensure full reproducibility. By coupling adaptive neural inference with semantic explainability, (H-DIR)(2) offers a transparent and scalable solution for cloud-IoT cybersecurity, establishing a robust baseline for future developments in edge-aware and zero-day threat detection
A review of the advantages and limitations of geophysical investigations in landslide studies
No full textLandslide deformations involve approximately all geological materials (natural rocks, soil, artificial fill, or combinations of these materials) and can occur and develop in a large variety of volumes and shapes. The characterization of the material inhomogeneities and their properties, the study of the deformation processes, and the delimitation of boundaries and potential slip surfaces are not simple goals. Since the ‘70s, the international community (mainly geophysicists and lower geologists and geological engineers) has begun to employ, together with other techniques, geophysical methods to characterize and monitor landslides. Both the associated advantages and limitations have been highlighted over the years, and some drawbacks are still open. This review is focused on works of the last twelve years (2007-2018), and the main goal is to analyse the geophysical community efforts toward overcoming the geophysical technique limitations highlighted in the 2007 geophysics and landslide review. To achieve this aim, contrary to previous reviews that analysed the advantages and limitations of each technique using a “technique approach,” the analysis was carried out using a “material landslide approach” on the basis of the more recent landslides classification
Prevalence of previously undiagnosed gallstones in a population with multiple risk factors.
No full textAbstract
This study was aimed at investigating whether it is possible, on the basis of the presence of multiple factors, to select a population with a higher prevalence of gallstones than that predicted simply on the basis of age and sex. Thus, we selected and screened for the presence of previously undiagnosed gallstones subjects with at least four of the following variables: female sex, age over 40, obesity, diabetes, biliary colic, family history of gallstones or cholecystectomy, hypertriglyceridemia, parity, and oral contraceptive use. The a priori probability (or expected prevalence) of having previously undiagnosed gallstones was calculated for each subject on the basis of sex and age according to data derived from epidemiological studies performed in Italy in the general population. Among the 821 males and 3930 females participating in this study, previously undiagnosed gallstones (GS) were found in 135 (16.4%) males and 691 (17.6%) females. The ratio between observed and expected prevalence of GS was higher in males (3.09) than in females (2.32). The highest ratios between observed and expected prevalence of GS were found in the lowest classes of expected prevalence in both sexes. The best predictors of the presence of GS were age, biliary colic, and diabetes in males and age, biliary colic, obesity, and number of pregnancies in females. It is concluded that selection of subjects with multiple factors associated with GS increases the a priori probability of GS diagnosis by a factor 2 in females or 3 in males. Stricter selection criteria should be used for females
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