Organoid, an organ-like tissue reproduced in a dish, has specialized, functional structures in three-dimensional (3D) space. Organoid development replicates the self-organizing process of each tissue development during embryogenesis but does not necessarily require external tissues, illustrating the autonomy of multicellular systems. Herein, we review the developmental processes of epithelial organoids, namely, the intestine, and optic-cup, with a focus on their mechanical aspects. Recent organoid studies have advanced our understanding of the mechanisms of 3D tissue deformation, including appropriate modes of deformation and factors controlling them. In addition, the autonomous nature of organoid development has also allowed us to access the stepwise mechanisms of deformation as organoids proceed through distinct stages of development. Altogether, we discuss the potential of organoids in unveiling the autonomy of multicellular self-organization from a mechanical point of view. This review article is an extended version of the Japanese article, Mechanics in Self-organizing Organoid Morphogenesis, published in SEIBUTSU BUTSURI Vol. 60, p.31-36 (2020).
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10040261 | PMC |
http://dx.doi.org/10.2142/biophysico.bppb-v19.0048 | DOI Listing |
Materials (Basel)
December 2024
Key Laboratory of New Technology for Construction of Cities in Mountain Area, School of Civil Engineering, Chongqing University, Chongqing 400000, China.
According to the mechanical characteristics of joints in steel-concrete composite bridge decks under the combined bending and shear, improved joint details with simple structure and convenient construction were studied, including lapped U-bars, lapped headed bars, and lapped hook bars. In order to test the mechanical properties of the three joint details and compare them with the existing lapped/welded linear bars, the tests of five specimens were carried out. The cracking load, ultimate load, failure mode, crack pattern, and reinforcement strain were analyzed.
View Article and Find Full Text PDFPLoS One
November 2024
School of Mining Engineering, Anhui University of Science and Technology, Huainan, Anhui, China.
In order to study the mechanical response and crack evolution law of different lithologic rock bodies under different stress environments in deep stress mines, based on the deviator stress theory, the actual triaxial disturbance unloading rock test system was used to simulate the stress occurrence environment of the original rock. The mechanical characteristics of different σ2 coal rock masses were studied, and the crack evolution law of coal and sandstone under different stress environments was analyzed. The results show that the increase of σ2 inhibits the deformation in the σ2 direction of coal and sandstone, promotes the expansion and deformation in the σ3 direction, and enhances its peak strength and elastic modulus.
View Article and Find Full Text PDFMaterials (Basel)
October 2024
Department of Mechanical, Automotive and Materials Engineering, University of Windsor, 401 Sunset Ave, Windsor, ON N9B 3P4, Canada.
The purpose of this study is to investigate the effects of toolpath patterns, geometry types, and layering effects on the mechanical properties of parts manufactured by direct energy deposition (DED) additive manufacturing using data analysis and machine learning methods. A total of twelve case studies were conducted, involving four distinct geometries, each paired with three different toolpath patterns based on finite element method (FEM) simulations. These simulations focused on residual stresses, strains, and maximum principal stresses at various nodes.
View Article and Find Full Text PDFSensors (Basel)
September 2024
Mechanics Institute, University of Shanghai for Science and Technology, Shanghai 200093, China.
To deal with the task assignment problem of multi-AUV systems under kinematic constraints, which means steering capability constraints for underactuated AUVs or other vehicles likely, an improved task assignment algorithm is proposed combining the Dubins Path algorithm with improved SOM neural network algorithm. At first, the aimed tasks are assigned to the AUVs by the improved SOM neural network method based on workload balance and neighborhood function. When there exists kinematic constraints or obstacles which may cause failure of trajectory planning, task re-assignment will be implemented by changing the weights of SOM neurals, until the AUVs can have paths to reach all the targets.
View Article and Find Full Text PDFSci Rep
September 2024
Department of Computer Science, Faculty of Electrical Engineering and Computer Science, VŠB-TUO, 17. listopadu 2172/15, Ostrava-Poruba, 708 00, Czech Republic.
This study presents an application of the self-organizing migrating algorithm (SOMA) to train artificial neural networks for skin segmentation tasks. We compare the performance of SOMA with popular gradient-based optimization methods such as ADAM and SGDM, as well as with another evolutionary algorithm, differential evolution (DE). Experiments are conducted on the skin dataset, which consists of 245,057 samples with skin and non-skin labels.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!