scholarly journals Applicability of Semi-Quantitative Evaluation of the Intercondylar Notch

2021 ◽  
Vol 11 (13) ◽  
pp. 5921
Author(s):  
Lena Hirtler ◽  
Katrin Tschematschar ◽  
Franz Kainberger ◽  
Sebastian Röhrich
Keyword(s):  
Quantitative Evaluation ◽  
Shape Classification ◽  
Intercondylar Notch ◽  
Detailed Evaluation ◽  
Objective Control ◽  
Different Shapes

The intercondylar notch (IN) can differ in morphology and size, influencing the contained ligaments. For a better understanding of the influence of the IN’s anatomy on knee pathologies, a classification of different shapes was proposed. However, a detailed evaluation of the reliability of these classifications is lacking thus far. In coronal knee MRIs of 330 patients, the IN width was measured and three shapes were calculated to generate objective control results. Notch shapes were classified by two blinded investigators, first without and then with visual assistance to guide the shape classification. The distribution of the three different shapes was as follows: A-shape: n = 43, 13.0%; inverse U-shape: n = 100, 30.3%; Ω-shape: n = 183, 56.7%. The semi-quantitative evaluation distribution was as follows: A-shape: n = 44, 13.3%; inverse U-shape: n = 37, 11.2%; Ω-shape: n = 249, 75%; there was fair (κ = 0.35) agreement compared to that of the control results. The assisted semi-quantitative evaluation distribution was as follows: A-shape: n = 44, 13.3%; inverse U-shape: 103, 31.2%; Ω-shape: n = 183, 55.3%; there was very good (κ = 0.92) agreement compared to that of the control results. In the shape evaluation of the IN, rigid guidelines and visual assistance must be used to ensure reliability. The utilization of visual assistance led to higher inter- and intra-rater agreements in the semi-quantitatively evaluation of the IN shape when compared to those in the classification without visual assistance.

scholarly journals Antibacterial Activity of Polymer Nanocomposites Incorporating Graphene and Its Derivatives: A State of Art

Polymers ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 2105
Author(s):  
Ana M. Díez-Pascual ◽  
José A. Luceño-Sánchez
Keyword(s):  
Graphene Oxide ◽  
Polymeric Nanocomposites ◽  
Natural Polymers ◽  
Vast Number ◽  
Antimicrobial Materials ◽  
Reduced Graphene ◽  
Different Shapes ◽  
Different Characteristics ◽  
State Of Art

The incorporation of carbon-based nanostructures into polymer matrices is a relevant strategy for producing novel antimicrobial materials. By using nanofillers of different shapes and sizes, and polymers with different characteristics, novel antimicrobial nanocomposites with synergistic properties can be obtained. This article describes the state of art in the field of antimicrobial polymeric nanocomposites reinforced with graphene and its derivatives such as graphene oxide and reduced graphene oxide. Taking into account the vast number of articles published, only some representative examples are provided. A classification of the different nanocomposites is carried out, dividing them into acrylic and methacrylic matrices, biodegradable synthetic polymers and natural polymers. The mechanisms of antimicrobial activity of graphene and its derivatives are also reviewed. Finally, some applications of these antimicrobial nanocomposites are discussed. We aim to enhance understanding in the field and promote further work on the development of polymer-based antimicrobial nanocomposites incorporating graphene-based nanomaterials.

scholarly journals The shape classification of Torus-like and (n-sphere)-like continua

1974 ◽  
Vol 4 (1) ◽  
pp. 85-94 ◽  
Author(s):  
Carl Eberhart ◽  
G.R. Gordh ◽  
John Mack
Keyword(s):  
Shape Classification

scholarly journals Automated Three-Dimensional Detection and Shape Classification of Dendritic Spines from Fluorescence Microscopy Images

PLoS ONE ◽  
2008 ◽  
Vol 3 (4) ◽  
pp. e1997 ◽  
Author(s):  
Alfredo Rodriguez ◽  
Douglas B. Ehlenberger ◽  
Dara L. Dickstein ◽  
Patrick R. Hof ◽  
Susan L. Wearne
Keyword(s):  
Fluorescence Microscopy ◽  
Dendritic Spines ◽  
Three Dimensional ◽  
Shape Classification ◽  
Microscopy Images

scholarly journals CT image visual quantitative evaluation and clinical classification of coronavirus disease (COVID-19)

2020 ◽  
Vol 30 (8) ◽  
pp. 4407-4416 ◽  
Author(s):  
Kunwei Li ◽  
Yijie Fang ◽  
Wenjuan Li ◽  
Cunxue Pan ◽  
Peixin Qin ◽  
...  
Keyword(s):  
Quantitative Evaluation ◽  
Ct Image ◽  
Clinical Classification

Research on Quantitative Assessment Method of Power Transformer Supervision Based on Extensible Theory

2014 ◽  
Vol 644-650 ◽  
pp. 2587-2590
Author(s):  
Yu Qin Xu ◽  
Xiang Ling Zhan ◽  
Zheng Ren ◽  
Tong Li ◽  
Guo Hua Qiao ◽  
...  
Keyword(s):  
Quantitative Evaluation ◽  
Evaluation System ◽  
Quantitative Assessment ◽  
Power Transformer ◽  
Assessment Method ◽  
Key Factors ◽  
Quantitative Classification ◽  
Element Theory

The quantitative classification of transformer supervision can improve the quality of transformer supervision. For the contents of transformer supervision, this paper establishes an index system of transformer supervision. Example results show that the extension matter-element theory which is applied to transformer supervision quantitative evaluation is more reasonable. According to the categories of transformer supervision, this paper quantifies the uncertainty and builds the evaluation system of transformer supervision. It realizes the evaluation of transformer supervision and gets the key factors which influence the transformer supervision. This evaluation system is conducive to guide the transformer supervision to be more scientific and effective.

ON GEOMETRIC AND ORTHOGONAL MOMENTS

2000 ◽  
Vol 14 (07) ◽  
pp. 875-894 ◽  
Author(s):  
JUN SHEN ◽  
WEI SHEN ◽  
DANFEI SHEN
Keyword(s):  
Pattern Analysis ◽  
Equivalence Theorem ◽  
Image Features ◽  
Shape Classification ◽  
Orthogonal Moments ◽  
Zero Crossings ◽  
Different Types ◽  
Base Functions ◽  
Different Shapes ◽  
Function Discontinuity

Moments are widely used in pattern recognition, image processing, computer vision and multiresolution analysis. To clarify and to guide the use of different types of moments, we present in this paper a study on the different moments and compare their behavior. After an introduction to geometric, Legendre, Hermite and Gaussian–Hermite moments and their calculation, we analyze at first their behavior in spatial domain. Our analysis shows orthogonal moment base functions of different orders having different number of zero-crossings and very different shapes, therefore they can better separate image features based on different modes, which is very interesting for pattern analysis and shape classification. Moreover, Gaussian–Hermite moment base functions are much more smoothed, they are thus less sensitive to noise and avoid the artifacts introduced by window function discontinuity. We then analyze the spectral behavior of moments in frequency domain. Theoretical and numerical analyses show that orthogonal Legendre and Gaussian–Hermite moments of different orders separate different frequency bands more effectively. It is also shown that Gaussian–Hermite moments present an approach to construct orthogonal features from the results of wavelet analysis. The orthogonality equivalence theorem is also presented. Our analysis is confirmed by numerical results, which are then reported.

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