Accuracy Assessment of the 2D-FFT Method Based on Peak Detection of the Spectrum Magnitude at the Particular Frequencies Using the Lamb Wave Signals.

The 2D-FFT is described as a traditional method for signal processing and analysis. Due to the possibility to determine the time and frequency (t,f) domains, such a method has a wide application in various industrial fields. Using that method, the obtained results are presented in images only; thus, for the extraction of quantitative values of phase velocities, additional algorithms should be used. In this work, the 2D-FFT method is presented, which is based on peak detection of the spectrum magnitude at particular frequencies for obtaining the quantitative expressions. The radiofrequency signals of ULWs (ultrasonic Lamb waves) were used for the accuracy evaluation of the method. An uncertainty evaluation was conducted to guarantee the metrological traceability of measurement results and ensure that they are accurate and reliable. Mathematical and experimental verifications were conducted by using signals of Lamb waves propagating in the aluminum plate. The obtained mean relative error of 0.12% for the A0 mode (160 kHz) and 0.05% for the S0 mode (700 kHz) during the mathematical verification indicated that the proposed method is particularly suitable for evaluating the phase-velocity dispersion in clearly expressed dispersion zones. The uncertainty analysis showed that the plate thickness, the mathematical modeling, and the step of the scanner have a significant impact on the estimated uncertainty of the phase velocity for the A0 mode. Those components of uncertainty prevail and make about ~92% of the total standard uncertainty in a clearly expressed dispersion range. The S0 mode analysis in the non-dispersion zone indicates that the repeatability of velocity variations, fluctuations of the frequency of Lamb waves, and the scanning step of the scanner influence significantly the combined uncertainty and represent 98% of the total uncertainty.

Innovations strategy for moving from created regional clusters to co-creation in life sciences for health care and well-being ecosystems.

Over the last decades, the demographic changes have all altered the population structure and influenced the social, economic, and political characteristics of countries over the world. Therefore, the creation of novel ecosystems, new clusters and systems which involved technology and industry, business, education, science, and innovation are increased rapidly. However, in order to solve the future global challenges, the created various types of clusters, public and private sector systems should cooperate and work together as a unit. Therefore, one of the proposed solutions is unified regional ecosystems' building. The Interreg European Life Science Ecosystems (ELISE) project addresses the societal challenge which is common to the European regions: to promote better health for all. This covers the need to improve health and well-being outcomes, to promote market growth, job creation, and EU competitiveness. Based on the project, three different regions of the European countries-Poland, Italy, and Germany-are selected in order to perform the analysis of drivers directly influencing the move from the existing clusters to unified regional ecosystem. The performed analysis showed that the government of a country and regional public authorities have the direct influence and play the central role in shaping unified regional ecosystems. The common economic, social, and political situation in a country is dependent on the government and it is influenced by the regional public authorities. Therefore, the collaboration and conversation among such institutions is the important factor defining how quickly different countries will create unified ecosystems and will solve the future problems.