Application of machine learning in predicting frailty syndrome in patients with heart failure

Prevention and diagnosis of frailty syndrome (FS) in patients with heart failure (HF) require innovative systems to help medical personnel tailor and optimize their treatment and care. Traditional methods of diagnosing FS in patients could be more satisfactory. Healthcare personnel in clinical settings use a combination of tests and self-reporting to diagnose patients and those at risk of frailty, which is time-consuming and costly. Modern medicine uses artificial intelligence (AI) to study the physical and psychosocial domains of frailty in cardiac patients with HF. This paper aims to present the potential of using the AI approach, emphasizing machine learning (ML) in predicting frailty in patients with HF. Our team reviewed the literature on ML applications for FS and reviewed frailty measurements applied to modern clinical practice. Our approach analysis resulted in recommendations of ML algorithms for predicting frailty in patients. We also present the exemplary application of ML for FS in patients with HF based on the Tilburg Frailty Indicator (TFI) questionnaire, taking into account psychosocial variables

APPLICATION OF DEONTIC LOGIC IN ROLE–BASED ACCESS CONTROL

The paper presents a short overview of the foundations of the Role-Based Access Control Modal Model and its properties. In particular, the translation of these model formulae to the first-order logic formulae in a form of Horn’s clauses is analysed. The automation of processes and mechanisms related to access control on the basis of logical automated reasoning and the PROLOG language are described

Motif-Based Attack Detection in Network Communication Graphs

Part 2: Work in ProgressInternational audienceWe propose an original approach which allows the characterization of network communication graphs with the network motifs. As an example we checked our approach by the use of network topology analysis methods applied to communication graphs. We have tested our approach on a simulated attacks inside a scale-free network and data gathered in real networks, showing that the motif distribution reflects the changes in communication pattern and may be used for the detection of ongoing attacks. We have also noticed that the communication graphs of the real networks show a distinctive motif profile

Margines górny na pierwszej stronie 3,5 cm, na pozostałych 2,5 cm Margines lewy 2 cm Margines prawy 2 cm Margines dolny 2 cm Implementation and testing of Level 2 security architecture for the IIP System

The IIP System (IIPS) defines a number Parallel Internets (PIs), one IPv6-based, two post-IP and a management network, running over a common physical substrate. It has a four-level architecture, with Level 2 responsible for creation of virtual resources of the PIs. This paper elaborates on a three-tier security architecture proposed earlier to address Level 2 threats of alien traffic injection and IIPS traffic manipulation or forging. Early experience with the implementation of the security architecture is reported and preliminary experiments carried out in a small-scale IIPS testbed are discussed

An Absolute Calibration of the Near-infrared Period–Luminosity Relations of Type II Cepheids in the Milky Way and in the Large Magellanic Cloud

International audienceWe present time-series photometry of 21 nearby type II Cepheids in the near-infrared J , H , and K s passbands. We use this photometry, together with the Third Gaia Early Data Release parallaxes, to determine for the first time period–luminosity relations (PLRs) for type II Cepheids from field representatives of these old pulsating stars in the near-infrared regime. We found PLRs to be very narrow for BL Herculis stars, which makes them candidates for precision distance indicators. We then use archival photometry and the most accurate distance obtained from eclipsing binaries to recalibrate PLRs for type II Cepheids in the Large Magellanic Cloud (LMC). Slopes of our PLRs in the Milky Way and in the LMC differ by slightly more than 2 σ and are in a good agreement with previous studies of the LMC, Galactic bulge, and Galactic globular cluster type II Cepheids samples. We use PLRs of Milky Way type II Cepheids to measure the distance to the LMC, and we obtain a distance modulus of 18.540 ± 0.026(stat.) ± 0.034(syst.) mag in the W JK Wesenheit index. We also investigate the metallicity effect within our Milky Way sample, and we find a rather significant value of about −0.2 mag dex −1 in each band meaning that more metal-rich type II Cepheids are intrinsically brighter than their more metal-poor counterparts, in agreement with the value obtained from type II Cepheids in Galactic globular clusters. The main source of systematic error on our Milky Way PLRs calibration, and the LMC distance, is the current uncertainty of the Gaia parallax zero-point