This research aims to study the pre-pandemic and pandemic-period Industry 4.0 and Industry 5.0 characteristics in SME research using scientometrics and systematic review using the PRISMA 2020 approach. A total of 691 articles were found in SCOPUS database using keywords ((“Industry 4.0” OR “Industry 5.0”) AND “SME”). However, 398 documents, which were either conference proceedings, reviews, book chapters or published in languages other than English, were excluded, and the remaining 221 articles that were published in SCOPUS indexed Journals were included in the study. This research adopted a novel mix of scientometrics and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 recommendations for identifying the thematic evolution of pre-pandemic and pandemic-period Industry 4.0 and Industry 5.0 SME Research. The major findings of this systematic review are, (1) There is a conceptual shift among researchers in studying the Industry 4.0 adoption of SMEs during the pandemic period; (2) The pandemic period research focused on (a) human-centric approaches, (b) adoption/acceptance models, (c) cost-effective solutions, (d) COVID-19 impact and resilience, (e) artificial intelligence and predictive maintenance, and (f) the emerging role of open innovation in Industry 4.0 adoption of SMEs; (3) Though the concept of Industry 5.0 clearly emerged and supplemented industry 4.0, the keyword “Industry 5.0” is not widely adopted by researchers. From the systematic literature review, a conceptual model for assessing the Industry 4.0 adoption and digital transformation of SMEs, digital integration of value chains and participation in a global value chain for trade expansion and sustainable growth of SMEs is proposed.

This study was to investigate the hemodynamic effect of simulated plaques in left coronary artery models, which were generated from a sample patient’s data. Plaques were simulated and placed at the left main stem and the left anterior descending (LAD) to produce at least 60% coronary stenosis. Computational fluid dynamics analysis was performed to simulate realistic physiological conditions that reflect thein vivocardiac hemodynamics, and comparison of wall shear stress (WSS) between Newtonian and non-Newtonian fluid models was performed. The pressure gradient (PSG) and flow velocities in the left coronary artery were measured and compared in the left coronary models with and without presence of plaques during cardiac cycle. Our results showed that the highest PSG was observed in stenotic regions caused by the plaques. Low flow velocity areas were found at postplaque locations in the left circumflex, LAD, and bifurcation. WSS at the stenotic locations was similar between the non-Newtonian and Newtonian models although some more details were observed with non-Newtonian model. There is a direct correlation between coronary plaques and subsequent hemodynamic changes, based on the simulation of plaques in the realistic coronary models.

In this study, we investigate plaques located at the left coronary bifurcation. We focus on the effect that the resulting changes in wall shear stress (WSS) and wall pressure stress gradient (WPSG) have on atherosclerotic progress in coronary artery disease. Coronary plaques were simulated and placed at the left main stem and the left anterior descending to produce >50% narrowing of the coronary lumen. Computational fluid dynamics analysis was carried out, simulating realistic physiological conditions that show the in vivo cardiac haemodynamic. WSS and WPSG in the left coronary artery were calculated and compared in the left coronary models, with and without the presence of plaques during cardiac cycles. Our results showed that WSS decreased while WPSG was increased in coronary side branches due to the presence of plaques. There is a direct correlation between coronary plaques and subsequent WSS and WPSG variations based on the bifurcation plaques simulated in the realistic coronary models.