Parthenope University of Naples
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Sustainability in Healthcare: The Role of Digital Technologies for Improving Patient Engagement
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Terminology planning and language policies across the Romance-speaking area. The activities of REALITER
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Asymmetry of Cyclonic Sea Surface Wind and Wave Observed by SAR
No full textCyclObs-derived wind and SWH field are extracted from over 600 dual-polarized Sentinel-1 (S-1) images of around 300 tropical cyclones (TCs) over the past eight years to investigate asymmetry of wind and wave fields during TCs. Fetch analysis and machine learning technique, eXtreme Gradient Boosting (XGBoost), is used to establish a relationship between TC wind speed and significant wave height (SWH). It was found that TC wind and SWH radii become asymmetric as sea states intensify. Notably, wind radii correlations (CORs) increase on the left-right and left-back quadrants for wind speeds larger than 20 m/s, while SWH radii exhibit the opposite trend. XGBoost is employed to obtain the improved relationship between wind fetch and SWH (COR < 0.17). Validation against buoys and Haiyang-2 (HY-2) observations of 20 TCs indicates that the root mean squared error in SWH predictions is reduced by up to 1.1 m using XGBoost instead of empirical model. The new TC wave model by XGBoost is particularly robust under high-wind conditions, therefore vital for warning and mitigation of extreme storms and improved parameterizations of air-sea interaction
Asset Discovery in Critical Infrastructures: An LLM-Based Approach
No full textAsset discovery in critical infrastructures, and in particular within industrial control systems, constitutes a fundamental cybersecurity function. Ensuring accurate and comprehensive asset visibility while maintaining operational continuity represents an ongoing challenge. Existing methodologies rely on deterministic tools that apply fixed fingerprinting strategies and lack the capacity for contextual reasoning. Such approaches often fail to adapt to the heterogeneous architectures and dynamic configurations characteristic of modern critical infrastructures. This work introduces an architecture based on a Mixture of Experts model designed to overcome these limitations. The proposed framework combines multiple specialized modules to perform automated asset discovery, integrating passive and active software probes with physical sensors. This design enables the system to adapt to different operational scenarios and to classify discovered assets according to functional and security-relevant attributes. A proof-of-concept implementation is also presented, along with experimental results that demonstrate the feasibility of the proposed approach. The outcomes indicate that our LLM-based approach can support the development of non-intrusive asset management solutions, strengthening the cybersecurity posture of critical infrastructure systems
The prevention of medication errors in the home care setting: a scoping review
No full textBackground. The changes in health, social and demographic needs impose new approaches to cures and care without giving up patients’ safety. Although several studies analysed the patient safety approach and strategies, the literature considering the home care setting seems still scarce. The analysis of the phenomenon of medication errors in the primary care setting highlights the necessity of exploring the specific variables to understand how to prevent or reduce the occurrence of a medication error in the home context. This review investigates the main preventive strategies implemented at the patient's home to prevent and/or limit the possibility of a medication error. Design. The scoping review was conducted under the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) statement and based on the guidelines of the Joanna Briggs Institute. Methods. No time or language limit was set to obtain the most comprehensive results possible. The following databases were queried: PubMed, Cochrane, Cinahl, ERIC and PsycINFO via EBSCO. All literature published up to 31 December 2022 was considered for data collection. Results. The main preventive strategies implemented in the patient's home to prevent a medication error are: Multidisciplinary teams, therapeutic reconciliation and computerised systems that improve information sharing. As evidenced by all of the included studies, no educational intervention or preventive strategy individually reduces the risk of making a medication error. Conclusions. It would be desirable for healthcare professionals to be constantly updated about their knowledge and understand the importance of introducing the aforementioned preventive strategies to guarantee safe care that protects the person from medication errors even at the patient's home
