scholarly journals On the Mass Fractal Character of Si-Based Structural Networks in Amorphous Polymer Derived Ceramics

Nanomaterials ◽  
2015 ◽  
Vol 5 (1) ◽  
pp. 366-375 ◽  
Author(s):  
Sabyasachi Sen ◽  
Scarlett Widgeon
Keyword(s):  
Amorphous Polymer ◽  
Mass Fractal ◽  
Polymer Derived Ceramics ◽  
Fractal Character ◽  
Structural Networks

Mechanical size effects of amorphous polymer-derived ceramics at the nanoscale: experiments and ReaxFF simulations

Nanoscale ◽  
2019 ◽  
Vol 11 (15) ◽  
pp. 7447-7456 ◽  
Author(s):  
Aniruddh Vashisth ◽  
Sumit Khatri ◽  
Seung Ho Hahn ◽  
Weiwei Zhang ◽  
Adri C. T. van Duin ◽  
...  
Keyword(s):  
Size Effect ◽  
Size Effects ◽  
Amorphous Polymer ◽  
Polymer Derived Ceramics ◽  
Polymer Derived Ceramic

Here we report an unprecedented mechanical size effect at the nanoscale in polymer-derived ceramic (PDC) nanofibers.

Interpreting HVEM of muscle-cell impulse networks

1992 ◽  
Vol 50 (1) ◽  
pp. 126-127
Author(s):  
Paul DeCosta ◽  
Kyugon Cho ◽  
Stephen Shemlon ◽  
Heesung Jun ◽  
Stanley M. Dunn
Keyword(s):  
Structural Analysis ◽  
Muscle Cell ◽  
Electron Micrographs ◽  
Relative Size ◽  
Automatic Classification ◽  
Nerve Fibers ◽  
Analysis Algorithm ◽  
Structural Networks

Introduction: The analysis and interpretation of electron micrographs of cells and tissues, often requires the accurate extraction of structural networks, which either provide immediate 2D or 3D information, or from which the desired information can be inferred. The images of these structures contain lines and/or curves whose orientation, lengths, and intersections characterize the overall network.Some examples exist of studies that have been done in the analysis of networks of natural structures. In, Sebok and Roemer determine the complexity of nerve structures in an EM formed slide. Here the number of nodes that exist in the image describes how dense nerve fibers are in a particular region of the skin. Hildith proposes a network structural analysis algorithm for the automatic classification of chromosome spreads (type, relative size and orientation).

Structure characterization of ground calcium carbonate flocs by fractal analysis and their effects on handsheet properties

TAPPI Journal ◽  
2013 ◽  
Vol 12 (3) ◽  
pp. 17-23 ◽  
Author(s):  
WANHEE IM ◽  
HAK LAE LEE ◽  
HYE JUNG YOUN ◽  
DONGIL SEO
Keyword(s):  
Fractal Analysis ◽  
Structural Characteristics ◽  
Fractal Dimensions ◽  
Strength Loss ◽  
Structure Characterization ◽  
Uniform Size ◽  
Cross Sectional ◽  
Floc Size ◽  
Mass Fractal ◽  
Handsheet Properties

Preflocculation of filler particles before their addition to pulp stock provides the most viable and practical solution to increase filler content while minimizing strength loss. The characteristics of filler flocs, such as floc size and structure, have a strong influence on preflocculation efficiency. The influence of flocculant systems on the structural characteristics of filler flocs was examined using a mass fractal analysis method. Mass fractal dimensions of filler flocs under high shear conditions were obtained using light diffraction spectroscopy for three different flocculants. A single polymer (C-PAM), a dual cationic polymer (p-DADMAC/C-PAM) and a C-PAM/micropolymer system were used as flocculants, and their effects on handsheet properties were investigated. The C-PAM/micropolymer system gave the greatest improvement in tensile index. The mass fractal analysis showed that this can be attributed to the formation of highly dense and spherical flocs by this flocculant. A cross-sectional analysis of the handsheets showed that filler flocs with more uniform size were formed when a C-PAM/micropolymer was used. The results suggest that a better understanding of the characteristics of preflocculated fillers and their influence on the properties of paper can be gained based on a fractal analysis.

Exploring Potentials for Culinary Tourism through a Food Festival: The Case of Thessaloniki Food Festival

2016 ◽  
Vol 4 (2) ◽  
pp. 110-125
Author(s):  
George Chatzinakos
Keyword(s):  
Strategic Planning ◽  
Planning Tool ◽  
Urban Experience ◽  
Local Networks ◽  
Culinary Tourism ◽  
Complex Process ◽  
New Destination ◽  
Structural Networks ◽  
The City ◽  
Culinary Culture

This paper seeks to conceptualize the way Thessaloniki is promoting culinary tourism, whilst supporting and building upon local networks; engaging and co-creating an urban experience with its citizens and visitors. The aim of the paper is to suggest a potential framework that can be used as a strategic planning tool for the promotion of culinary tourism in Thessaloniki. In this direction, a food festival is being investigated. The last, is conceived by the organizers as the foundation of the idea of culinary tourism in the city. However, the findings indicate that there is a lack of active participation by the locals and not enough communication among various assets that are associated with the culinary identity of the city. In general, Thessaloniki seems to embody the ongoing struggle of a new destination, which is dealing with the complex process of branding and marketing without having the proper tools and the vital required collaboration between its structural networks. Accordingly, the research provides a lens through which the culinary culture of Thessaloniki can be used as a strategic pillar for stimulating a sustainable way of “consuming” and promoting the city’s identity; enhancing Thessaloniki’s appeal as a culinary destination.

scholarly journals Effect of Multishell Diffusion MRI Acquisition Strategy and Parcellation Scale on Rich-Club Organization of Human Brain Structural Networks

Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 970
Author(s):  
Maedeh Khalilian ◽  
Kamran Kazemi ◽  
Mahshid Fouladivanda ◽  
Malek Makki ◽  
Mohammad Sadegh Helfroush ◽  
...  
Keyword(s):  
Human Brain ◽  
Clustering Coefficient ◽  
Quality Data ◽  
B Values ◽  
Rich Club ◽  
Global Efficiency ◽  
Acquisition Strategy ◽  
The Rich ◽  
Structural Networks ◽  
Single Shell

The majority of network studies of human brain structural connectivity are based on single-shell diffusion-weighted imaging (DWI) data. Recent advances in imaging hardware and software capabilities have made it possible to acquire multishell (b-values) high-quality data required for better characterization of white-matter crossing-fiber microstructures. The purpose of this study was to investigate the extent to which brain structural organization and network topology are affected by the choice of diffusion magnetic resonance imaging (MRI) acquisition strategy and parcellation scale. We performed graph-theoretical network analysis using DWI data from 35 Human Connectome Project subjects. Our study compared four single-shell (b = 1000, 3000, 5000, 10,000 s/mm2) and multishell sampling schemes and six parcellation scales (68, 200, 400, 600, 800, 1000 nodes) using five graph metrics, including small-worldness, clustering coefficient, characteristic path length, modularity and global efficiency. Rich-club analysis was also performed to explore the rich-club organization of brain structural networks. Our results showed that the parcellation scale and imaging protocol have significant effects on the network attributes, with the parcellation scale having a substantially larger effect. Regardless of the parcellation scale, the brain structural networks exhibited a rich-club organization with similar cortical distributions across the parcellation scales involving at least 400 nodes. Compared to single b-value diffusion acquisitions, the deterministic tractography using multishell diffusion imaging data consisting of shells with b-values higher than 5000 s/mm2 resulted in significantly improved fiber-tracking results at the locations where fiber bundles cross each other. Brain structural networks constructed using the multishell acquisition scheme including high b-values also exhibited significantly shorter characteristic path lengths, higher global efficiency and lower modularity. Our results showed that both parcellation scale and sampling protocol can significantly impact the rich-club organization of brain structural networks. Therefore, caution should be taken concerning the reproducibility of connectivity results with regard to the parcellation scale and sampling scheme.

scholarly journals Novel hydrogen chemisorption properties of amorphous ceramic compounds consisting of p-block elements: exploring Lewis acid-base Al–N pair site formed in-situ within polymer-derived silicon-aluminum-nitrogen-based system

2021 ◽  
Author(s):  
Shotaro Tada ◽  
Norifumi Asakuma ◽  
Shiori Ando ◽  
Toru Asaka ◽  
Yusuke Daiko ◽  
...  
Keyword(s):  
Lewis Acid ◽  
Active Site ◽  
Hydrogen Chemisorption ◽  
Acid Base ◽  
Polymer Derived Ceramics ◽  
System P ◽  
Ceramic Compounds ◽  
The Relationship

This paper reports on the relationship between the H2 chemisorption properties and reversible structural reorientation of the possible active site around Al formed in-situ within polymer-derived ceramics (PDCs) based on...

Disrupted rich-club organization of brain structural networks in Parkinson’s disease

2021 ◽  
Author(s):  
Tiantian Liu ◽  
Yan Yan ◽  
Jing Ai ◽  
Duanduan Chen ◽  
Jinglong Wu ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Rich Club ◽  
Structural Networks
Sign in / Sign up

Export Citation Format

Share Document