Hasil untuk "Engineering"

P. Ma

J. Kanczler, R. Oreffo

J. Mano, G. Silva, H. Azevedo et al.

The fields of tissue engineering and regenerative medicine aim at promoting the regeneration of tissues or replacing failing or malfunctioning organs, by means of combining a scaffold/support material, adequate cells and bioactive molecules. Different materials have been proposed to be used as both three-dimensional porous scaffolds and hydrogel matrices for distinct tissue engineering strategies. Among them, polymers of natural origin are one of the most attractive options, mainly due to their similarities with the extracellular matrix (ECM), chemical versatility as well as typically good biological performance. In this review, the most studied and promising and recently proposed naturally derived polymers that have been suggested for tissue engineering applications are described. Different classes of such type of polymers and their blends with synthetic polymers are analysed, with special focus on polysaccharides and proteins, the systems that are more inspired by the ECM. The adaptation of conventional methods or non-conventional processing techniques for processing scaffolds from natural origin based polymers is reviewed. The use of particles, membranes and injectable systems from such kind of materials is also overviewed, especially what concerns the present status of the research that should lead towards their final application. Finally, the biological performance of tissue engineering constructs based on natural-based polymers is discussed, using several examples for different clinically relevant applications.

Michael S. Goldberg, R. Langer, Xinqiao Jia

B. Das

R. Holtz, W. D. Kovacs

I. Jacobs, J. Wozencraft

S. H. Kan

T. Várady, Ralph Robert Martin, J. Cox

Chaoyang Wang

J. Duffie, W. Beckman, W. Worek

W. Perruquetti, J. Barbot

V. Basili, D. Weiss

A. Ang, W. Tang

G. Fenton, D. V. Griffiths

R. Pressman, M. India

H. Curtis

P. Bajaj, Ryan M. Schweller, A. Khademhosseini et al.

Tadas Jakočiūnas, Ida Bonde, Markus J. Herrgård et al.

Diego Firmenich, Leandro Antonelli, Bruno Pazos et al.

User stories are one of the most widely used artifacts in the software industry to define functional requirements. In parallel, the use of high-fidelity mockups facilitates end-user participation in defining their needs. In this work, we explore how combining these techniques with large language models (LLMs) enables agile and automated generation of user stories from mockups. To this end, we present a case study that analyzes the ability of LLMs to extract user stories from high-fidelity mockups, both with and without the inclusion of a glossary of the Language Extended Lexicon (LEL) in the prompts. Our results demonstrate that incorporating the LEL significantly enhances the accuracy and suitability of the generated user stories. This approach represents a step forward in the integration of AI into requirements engineering, with the potential to improve communication between users and developers.