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Author Vallejos Baier, R.; Contreras Raggio, J.I.; Millán Giovanetti, C.; Palza, H.; Burda, I.; Terrasi, G.; Weisse, B.; Siqueira De Freitas, G.; Nyström, G.; Vivanco, J.F.; Aiyangar, A.K.
Title Shape fidelity, mechanical and biological performance of 3D printed polycaprolactone-bioactive glass composite scaffolds Type
Year 2022 Publication Materials Science & Engineering C-Materials For Biological Applications Abbreviated Journal Mater. Sci. Eng. C
Volume 134 Issue Pages 112540
Keywords PCL; Bioglass; Composite bio-scaffolds; Direct ink writing; Additive manufacturing; Composite ink characterization
Abstract Direct ink writing (DIW) is a promising extrusion-based 3D printing technology, which employs an ink-deposition nozzle to fabricate 3D scaffold structures with customizable ink formulations for tissue engineering applications. However, determining the optimal DIW process parameters such as temperature, pressure, and speed for the specific ink is essential to achieve high reproducibility of the designed geometry and subsequent mechano-biological performance for different applications, particularly for porous scaffolds of finite sizes (total volume > 1000 mm3) and controlled pore size and porosity. The goal of this study was to evaluate the feasibility of fabricating Polycaprolactone (PCL) and bio-active glass (BG) composite-based 3D scaffolds of finite size using DIW. 3D-scaffolds were fabricated either as cylinders (10 mm diameter; 15 mm height) or cubes (5 × 5 × 5 mm3) with height/width aspect ratios of 1.5 and 1, respectively. A rheological characterization of the PCL-BG inks was performed before printing to determine the optimal printing parameters such as pressure and speed for printing at 110 °C. Microstructural properties of the scaffolds were analyzed in terms of overall scaffold porosity, and in situ pore size assessments in each layer (36 pores/layer; 1764 pores per specimen) during their fabrication. Measured porosity of the fabricated specimens&#65533;PCL: =46.94%, SD = 1.61; PCL-10 wt%BG: = 48.29%, SD = 5.95; and PCL-20 wt% BG: =50.87%, SD = 2.45&#65533;matched well with the designed porosity of 50%. Mean pore sizes&#65533;PCL [ = 0.37 mm (SD = 0.03)], PCL-10%BG [ = 0.38 mm (SD = 0.07)] and PCL-20% BG [ = 0.37 mm (SD = 0.04)]&#65533;were slightly fairly close to the designed pore size of 0.4 mm. Nevertheless there was a small but consistent, statistically significant (p < 0.0001) decrease in pore size from the first printed layer (PCL: 0.39 mm; PCL-10%BG: 0.4 mm; PCL-20%BG: 0.41 mm) to the last. SEM and micro-CT imaging revealed consistent BG particle distribution across the layers and throughout the specimens. Cell adhesion experiments revealed similar cell adhesion of PCL-20 wt% BG to pure PCL, but significantly better cell proliferation &#65533; as inferred from metabolic activity &#65533; after 7 days, although a decrease after 14 days was noted. Quasi-static compression tests showed a decrease in compressive yield strength and apparent elastic modulus with increasing BG fraction, which could be attributed to a lack of adequate mechanical bonding between the BG particles and the PCL matrix. The results show that the inks were successfully generated, and the scaffolds were fabricated with high resolution and fidelity despite their relatively large size (>1000 mm3). However, further work is required to understand the mechano-biological interaction between the BG particle additives and the PCL matrix to improve the mechanical and biological properties of the printed structures.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0928-4931 ISBN Medium
Area Expedition Conference
Notes WOS:000811741200004 Approved
Call Number UAI @ alexi.delcanto @ Serial 1553
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Author Villalon, J.; Calvo, R.A.
Title Concept Maps as Cognitive Visualizations of Writing Assignments Type
Year 2011 Publication Educational Technology & Society Abbreviated Journal Educ. Technol. Soc.
Volume 14 Issue 3 Pages 16-27
Keywords Concept Map Mining; Concept Map; Automatic generation; Text Mining; Writing
Abstract Writing assignments are ubiquitous in higher education. Writing develops not only communication skills, but also higher-level cognitive processes that facilitate deep learning. Cognitive visualizations, such as concept maps, can also be used as part of learning activities including as a form of scaffolding, or to trigger reflection by making conceptual understanding visible at different stages of the learning process. We present Concept Map Miner (CMM), a tool that automatically generates Concept Maps from students' compositions, and discuss its design and implementation, its integration to a writing support environment and its evaluation on a manually annotated corpora of university essays (N=43). Results show that complete CM, with concepts and labeled relationships, are possible and its precision depends the level of summarization (number of concepts) chosen.
Address [Villalon, J; Calvo, RA] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia, Email: jorge.villalon@uai.cl
Corporate Author Thesis
Publisher Ieee Computer Soc, Learning Technology Task Force Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1436-4522 ISBN Medium
Area Expedition Conference
Notes WOS:000294410900003 Approved
Call Number UAI @ eduardo.moreno @ Serial 160
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