The study presents a change in the innovation model and a change of development path towards new industries and modernization of traditional industries in the Pomeranian Voivodship. The characteristics of the region and the characteristics of the regional innovation system based on statistical data, existing research, analysis and interviews with representatives of regional and local authorities, scientists and entrepreneurs of the voivodship were presented. The factors that preceded the change of the innovation model and direct causes of change were identifi ed aa well as the impact of institutional factors and the barriers to the development of the voivodship.

The study presents a change of innovation model in the highly developed region of the European Union Friuli Venezia Giulia in Italy. The paper presents the innovation system and the outline of the region’s economic history, as well as the factors that preceded the change in innovation model, the direct causes of the change, and the impact of institutional factors as well as the development barriers. The analyzes were based on interviews with 14 representatives of regional and local authorities, innovation and entrepreneurship support institutions, universities, R&D units and a cluster from the region, as well as statistical data and source material.

Numerous scholars have identified the shortcomings of imprecise terminology and substantial computational inaccuracies in the current models for predicting the axial compression capacity of CFRPstrengthened reinforced concrete (RC) cylinders. To improve the prediction accuracy of the axial compressive capacity model for CFRP-strengthened RC cylinders, the present axial compressive capacity model for CFRP-strengthened RC cylinders was scrutinized and evaluated. Drawing on Mander’s constraint theory and the concrete triaxial strength model, a novel axial compressive capacity model for CFRP-strengthened RC cylinders was proposed. This study collected 116 experimental data on the axial compression of CFRP-strengthened RC cylinders and analyzed the accuracy of various models using the data. The findings indicate that the model proposed in this study outperforms other models in predicting axial compression capacity and demonstrates high prediction accuracy. Furthermore, an analysis is conducted on the variation law of the model’s predicted value with respect to the design parameters. The proposed model in this study identifies concrete strength, stirrup spacing, and elastic modulus of CFRP as the primary factors that influence the axial compression capacity of CFRP-strengthened RC cylinders.