On Sub-modularization and Morphological Heterogeneity in Modular Robotics

2013 ◽  
pp. 649-661 ◽  
Author(s):  
A. H. Lyder ◽  
K. Stoy ◽  
R. F. M. Garciá ◽  
J. C. Larsen ◽  
P. Hermansen
Keyword(s):  
Modular Robotics ◽  
Morphological Heterogeneity

scholarly journals Apolar and polar transitions drive the conversion between amoeboid and mesenchymal shapes in melanoma cells

2015 ◽  
Vol 26 (22) ◽  
pp. 4163-4170 ◽  
Author(s):  
Sam Cooper ◽  
Amine Sadok ◽  
Vicky Bousgouni ◽  
Chris Bakal
Keyword(s):  
Quantitative Imaging ◽  
Three Dimensional ◽  
Shape Space ◽  
Melanoma Cells ◽  
Collagen Matrices ◽  
Morphological Heterogeneity ◽  
Rho Family Gtpases ◽  
Metastatic Process ◽  
Rho Family ◽  
Single Living

Melanoma cells can adopt two functionally distinct forms, amoeboid and mesenchymal, which facilitates their ability to invade and colonize diverse environments during the metastatic process. Using quantitative imaging of single living tumor cells invading three-dimensional collagen matrices, in tandem with unsupervised computational analysis, we found that melanoma cells can switch between amoeboid and mesenchymal forms via two different routes in shape space—an apolar and polar route. We show that whereas particular Rho-family GTPases are required for the morphogenesis of amoeboid and mesenchymal forms, others are required for transitions via the apolar or polar route and not amoeboid or mesenchymal morphogenesis per se. Altering the transition rates between particular routes by depleting Rho-family GTPases can change the morphological heterogeneity of cell populations. The apolar and polar routes may have evolved in order to facilitate conversion between amoeboid and mesenchymal forms, as cells are either searching for, or attracted to, particular migratory cues, respectively.

Morphological heterogeneity in beta-catenin mutated hepatocellular carcinomas: implications for tumor molecular classification

2021 ◽  
Author(s):  
Michael Torbenson ◽  
Chantal E. McCabe ◽  
Daniel R. O’Brien ◽  
Jun Yin ◽  
Tiffany Bainter ◽  
...  
Keyword(s):  
Molecular Classification ◽  
Beta Catenin ◽  
Morphological Heterogeneity ◽  
Hepatocellular Carcinomas

Modular Robot Connection Design

1992 ◽  
Author(s):  
Robert O. Ambrose ◽  
Delbert Tesar
Keyword(s):  
Product Line ◽  
Modular Robots ◽  
Modular Robotics ◽  
Modular Robot ◽  
Manufacturing Costs ◽  
Mechanical Connection ◽  
Automation Equipment ◽  
Connection Design

Abstract The ability to reconfigure automation equipment will reduce the manufacturing costs of obsolesence, training and maintenance while allowing for a faster response to changes in the product line. A modular philosophy will give the user these advantages, but only if based on a common connection standard. A mechanical connection was selected for the UT Modular Robotics Testbed and used in the designs of four robot joint modules and nine robot link modules. The standard was also used for assecories, such as the testand, loading fixtures and endeffectors. Three years of experiments with this connection standard are reviewed, and used as the basis for new connection designs. Experiments using multiple modules assembled as dextrous robots, as well as experiments focusing on the connection itself, will be described. Goals for future connection standards include designs with upward compatibility, combinations of both mechanical and electrical fittings, and robot triendly constraints that allow for automated or remote assembly of modular robots.

scholarly journals Redescription of two land planarian species of Notogynaphallia Ogren & Kawakatsu (Platyhelminthes, Tricladida, Geoplaninae) and confirmation of the heterogeneity of the genus

2006 ◽  
Vol 23 (3) ◽  
pp. 746-757 ◽  
Author(s):  
Fernando Carbayo
Keyword(s):  
Strong Evidence ◽  
Type Species ◽  
Muscle Layer ◽  
Reproductive Organs ◽  
Retractor Muscle ◽  
Morphological Heterogeneity ◽  
Muscle Retractor ◽  
Group 2 ◽  
Land Planarian

Notogynaphallia caissara (E.M. Froehlich, 1955) and N. fita (Froehlich, 1959) are redescribed. Both species are included in the so-called group 2 of E.M. Froehlich & Leal-Zanchet (2003), in Notogynaphallia, and are provided with a cephalic retractor muscle derived from the ventral longitudinal subepidermic muscle layer. A muscle retractor does not exist in the type-species of the genus. This is strong evidence of the morphological heterogeneity within the genus, as E.M. Froehlich & Leal-Zanchet (2003) previously proposed mainly based on characters of the reproductive organs.

Morphological heterogeneity of rat oligodendrocytes: Oligodendrocytes: Electron microscopic studies on serial sections

Glia ◽  
1994 ◽  
Vol 11 (3) ◽  
pp. 235-244 ◽  
Author(s):  
Carl Bjartmar ◽  
Claes Hildebrand ◽  
Kristina Loinder
Keyword(s):  
Serial Sections ◽  
Electron Microscopic ◽  
Morphological Heterogeneity ◽  
Microscopic Studies

Cascaded U-net for Kidney and Tumor Segmentation from CT volumes

2020 ◽  
Vol 2 (1) ◽  
pp. 004-008
Author(s):  
Asha K Kumaraswamy ◽  
Chandrashekar Patil
Keyword(s):  
Semantic Segmentation ◽  
Ct Images ◽  
Difficult Problem ◽  
Training Data ◽  
Tumor Segmentation ◽  
Computer Assisted ◽  
Kidney Tumors ◽  
Cross Sectional ◽  
Morphological Heterogeneity ◽  
Enhanced Computed Tomography

Contrast-enhanced Computed Tomography (CT) imaging is most useful tool in diagnosing and locating the kidney lesions. An automated kidney and tumor segmentation are very helpful because it can provide the precise information about the location and size of lesions which can be used in quantitative analysis of the tumor. Semantic segmentation of kidney is very challenging as it requires large dataset for training and its morphological heterogeneity makes it a difficult problem. The 2019 Kidney and Kidney Tumor Segmentation challenge (KiTS19) was a competition held in conjunction with the 2019 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) has publicly released a 210 cross sectional CT images with kidney tumors along with corresponding semantic segmentation masks. In this work we proposed a novel two stage 2D segmentation method to automatically segment kidney and tumor using the combination of Unet++ and squeeze and excite approach. The proposed network is trained in keras framework. Our method achieves a dice score of 0.98 and 0.965 with kidney and tumor respectively on training data and the results demonstrates the accuracy of our proposed method. Proposed method was able to segment kidney and tumor from abdominal CT images which can provide the exact location and size of the tumor. This information can also be used to analyze treatment response.

Hydration influences on the phase heterogeneity of segmented copolymers

Soft Matter ◽  
2021 ◽  
Author(s):  
Saji S. Edatholath ◽  
Mohammed R. Chandan ◽  
Vinod K. Aswal ◽  
Sangram K. Rath ◽  
G. Harikrishnan
Keyword(s):  
Broad Class ◽  
Segmented Copolymers ◽  
Morphological Heterogeneity ◽  
Phase Heterogeneity

We elucidate the influences of hydration on the morphological heterogeneity of the broad class of segmented copolymers.

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