Biomimetic design and integrated biofabrication of an in-vitro three-dimensional multi-scale multilayer cortical model.

The lack of accurate and reliable brain models hinders the development of brain science and research on brain diseases. Owing to the complex structure of the brain tissue and its highly nonlinear characteristics, the construction of brain-like tissue models remains one of the most challenging research fields in the construction of living tissues. This study proposes a multi-scale design of a brain-like model with a biomimetic cortical structure, which includes the macroscopic structural features of six layers of different cellular components, as well as micrometer-scale continuous fiber structures running through all layers vertically.

Biomimetic three-dimensional glioma model printed for the studies of glioma cells and neurons interactions.

1The interactions between glioma cells and neurons are important for glioma progression but are rarely mimicked and recapitulated in three-dimensional (3D) models, which may affect the success rate of relevant drug research and development. In this study, an bioprinted 3D glioma model consisting of an outer hemispherical shell with neurons and an inner hemisphere with glioma cells is proposed to simulate the natural glioma. This model was produced by extrusion-based 3D bioprinting technology.

3D Bioprinting of Neurovascular Tissue Modeling with Collagen-Based Low-Viscosity Composites.

In vitro neurovascular unit (NVU) models are valuable for investigating brain functions and developing drugs. However, it remains challenging to recapitulate the native architectural features and ultra-soft extracellular matrix (ECM) properties of the natural NVU. Cell-laden bioprinting is promising to prepare complex living tissues, but hard to balance the fidelity and cell growth.

Forming Limit Stress Diagram Prediction of Pure Titanium Sheet Based on GTN Model.

In this paper, the initial values of damage parameters in the Gurson-Tvergaard-Needleman (GTN) model are determined by a microscopic test combined with empirical formulas, and the final accurate values are determined by finite element reverse calibration. The original void volume fraction (), the volume fraction of potential nucleated voids (), the critical void volume fraction (), the void volume fraction at the final failure () of material are assigned as 0.006, 0.