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A deSitter gauge theory of gravitation over a spherical symmetric Minkowski space–time is developed. The "passive" point of view is adapted, i.e., the space–time coordinates are not affected by group transformations; only the fields change under the action of the symmetry group. A particular ansatz for the gauge fields is chosen and the components of the strength tensor are computed. An analytical solution of Schwarzschild–deSitter type is obtained in the case of null torsion. It is concluded that the deSitter group can be considered as a "passive" gauge symmetry for gravitation. Because of their complexity, all the calculations, inclusive of the integration of the field equations, are performed using an analytical program conceived in GRTensorII for MapleV. The program allows one to compute (without using a metric) the strength tensor [Formula: see text], Riemann tensor [Formula: see text], Ricci tensor [Formula: see text], curvature scalar [Formula: see text], field equations, and the integration of these equations.

This paper presents a new method for managing digital reuse rights of research data which leverages technologies such as the blockchain and smart contracts. This allows, on one hand, the creation of a permanent record on the agreements between the authors of the data and the reusers, with the possibility of verifying compliance at any time, and, on the other hand, a higher level of granularity on defining the conditions of reuse. A practical implementation of such an workflow using the Solidity smart contract language is included, along with a brief analysis over the Ethereum blockchain network.

In this paper is described the design and implementation of a wireless atrial fibrillation monitoring system, for realtime remote patient monitoring in a limited area, using wireless sensor networks (WSN). The proposed system consists of a lightweight and low power wireless ECG acquisition and processing device, connected to a central monitoring station through WSN. The device is able to detect the paroxysmal atrial fibrillation episodes and transmits alerts to the central monitoring station. The system can be used for long-time continuous monitoring of patients suspected to have atrial fibrillation, as part of a diagnostic procedure, or recovery from an acute or surgical event. In order to detect the atrial fibrillation episodes we used a simple method based on RR intervals, extracted from ECG signal. We evaluated the performance of the method on MIT-BIH Atrial Fibrilation Database from Physionet. The central monitoring station runs a patient monitor application that receives the real time heart rate and atrial fibrillation alerts from WSN. A user-friendly Graphical User Interface was developed for the patient monitor application to display the heart rate and alerts coming from the monitored patient. A prototype of the system has been developed, implemented and tested.