Hypertension could be one of the factors leading to exacerbation of the frequency and severity of attacks, both in migraine and tension-type headache. Hypertension has important therapeutic implications and should be actively sought in headache patients, and more thoroughly investigated, with ad-hoc surveys in the general population.

The advent of massive and highly heterogeneous information systems poses major challenges to professionals responsible for IT security. The huge amount of monitoring data currently being generated means that no human being or group of human beings can cope with their analysis. Furthermore, fully automated tools still lack the ability to track the associated events in a fine-grained and reliable way. Here, we propose the HuMa framework for detailed and reliable analysis of large amounts of data for security purposes. HuMa uses a multianalysis approach to study complex security events in a large set of logs. It is organized around three layers: the event layer, the context and attack pattern layer, and the assessment layer. We describe the framework components and the set of complementary algorithms for security assessment. We also provide an evaluation of the contribution of the context and attack pattern layer to security investigation. This work was partially supported by the French Banque Publique d'Investissement (BPI) under program FUI-AAP-19 in the frame of the HuMa project.

We propose a methodology based on Hidden Markov Models (HMMs) to model scanning activities monitored by a darknet. The HMMs of scanning activities are built on the basis of the number of scanned IP addresses within a time window and fitted using mixtures of Poisson distributions. Our methodology is applied on real data traces collected from a darknet and generated by two large scale scanners, ZMap and Shodan. We demonstrated that the built models are able to characterize their scanning activities.

Background: The acceptance of uniportal video-assisted thoracic surgery (U-VATS) for thoracic procedures has been growing worldwide. This study reports one of the widest Italian U-VATS experiences. Methods: The prospectively collected data of 237 patients underwent a U-VATS procedure, between May 2016 and September 2017, were retrospectively reviewed. A wide range of procedures, like major and minor lung resections, esophageal surgery, pleural and mediastinal one, was performed. The main aim of the study was evaluating general outcomes in terms of safety and effectiveness, and analyzing short-term results of U-VATS approach. Results: The mean age of population was 59.93±16.03 years. In 208 cases (85.3%) a U-VATS lung resection was performed, in 10 cases (4.1%) an esophagectomy or an esophageal diverticulectomy, in 15 (6.1%) a mediastinal procedure and in 11 (4.5%) a toilette for pleural empyema or removal of pleural lesions. The chest tube duration was 4.24±3.73 days and the postoperative hospital stay was 4.62±4.59 days. The intraoperative and thirty-day mortality were null. Mean level of pain in I postoperative day was 2.30±1.26 on VAS scale and the mean duration was of 1.54±1.21 days. In 93% of cases there was a resolution of pain after chest tube removal. Furthermore, the average level of cosmetic satisfaction was 2.73±0.49 (measured on a 0-3 scale). Conclusions: According to our experience, U-VATS seems to be a safe and practicable mini-invasive technique, above all for surgeons who already have thoracoscopy experience or made proper training attending multilevel courses, hands-on conferences and wet-labs.