scholarly journals Classification Function of Verbal Classifiers

2014 ◽  
Vol null (61) ◽  
pp. 159-180
Author(s):  
Sung Ki Eun
Keyword(s):  
Verbal Classifiers ◽  
Classification Function

Research of matrix metalloproteinases in therapeutic dentistry

2020 ◽  
pp. 51-57
Author(s):  
L.I. Shalamay ◽  
E.Y. Nechai ◽  
A.I. Sakerina ◽  
A.G. Gabdullin
Keyword(s):  
Matrix Metalloproteinases ◽  
Oral Cavity ◽  
Catalytic Domain ◽  
Different Types ◽  
Dental Diseases ◽  
Classification Function

This article the properties of matrix metalloproteinases, their classification, function and role in the development of dental diseases are presented. The analysis of matrix metalloproteinases has been performed, which proves their important role in the physiological and pathological processes of the oral cavity. The possibility of using matrix metalloproteinases as part of one of the methods for diagnosing diseases and using them to evaluate the effectiveness of treatment has been considered. The structure of different types of metalloproteinases, as well as a model of the catalytic domain of the MMP-8 molecule has been presented.

Optimal Solution for Hyper-Sphere Integral Classification Process of Big Data

2014 ◽  
Vol 687-691 ◽  
pp. 1462-1465
Author(s):  
Zhi Liang Zhang
Keyword(s):  
Big Data ◽  
Calculation Method ◽  
Optimal Solution ◽  
Constraint Condition ◽  
Target Problem ◽  
Maximum Value ◽  
Dual Programming ◽  
Optimal Classification ◽  
Classification Function ◽  
Optimal Calculation

This paper mainly discusses the optimal solution for hyper-sphere integral classification process of big data. The paper proposes an optimal calculation method for the target problem. Through statistics and analysis of big data, we get the constraint condition, and calculate a maximum value of data characteristic. Then, by the dual programming of Quadratic Programming, we obtain the optimal classification function for hyper-sphere integral classification process of big data. The experiment results show that the proposed algorithm can significantly improve the accuracy of the classification hyper-sphere integral for big data.

Insights into Enhancer RNAs: Biogenesis and Emerging Role in Brain Diseases

2021 ◽  
pp. 107385842110468
Author(s):  
Yuxin Shen ◽  
Zhengyi Huang ◽  
Ruiqing Yang ◽  
Yunlong Chen ◽  
Qiang Wang ◽  
...  
Keyword(s):  
Transcriptional Activation ◽  
Small Proportion ◽  
Target Genes ◽  
Noncoding Rnas ◽  
Histone Mark ◽  
Brain Diseases ◽  
Enhancer Activity ◽  
Cis Acting ◽  
High Level ◽  
Classification Function

Enhancers are cis-acting elements that control the transcription of target genes and are transcribed into a class of noncoding RNAs (ncRNAs) termed enhancer RNAs (eRNAs). eRNAs have shorter half-lives than mRNAs and long noncoding RNAs; however, the frequency of transcription of eRNAs is close to that of mRNAs. eRNA expression is associated with a high level of histone mark H3K27ac and a low level of H3K27me3. Although eRNAs only account for a small proportion of ncRNAs, their functions are important. eRNAs can not only increase enhancer activity by promoting the formation of enhancer-promoter loops but also regulate transcriptional activation. Increasing numbers of studies have found that eRNAs play an important role in the occurrence and development of brain diseases; however, further research into eRNAs is required. This review discusses the concept, characteristics, classification, function, and potential roles of eRNAs in brain diseases.

scholarly journals Morphological variability between diploid and tetraploid taxa of the genus Betula L. in the Czech Republic

2017 ◽  
Vol 63 (No. 12) ◽  
pp. 531-537 ◽  
Author(s):  
Linda Rostislav ◽  
Kuneš Ivan ◽  
Baláš Martin ◽  
Gallo Josef
Keyword(s):  
Principal Component Analysis ◽  
Czech Republic ◽  
Reliable Method ◽  
Morphological Variability ◽  
Principal Component ◽  
The Czech Republic ◽  
Forest Region ◽  
Blade Width ◽  
The Bohemian Forest ◽  
Classification Function

The aim of this work was to suggest a reliable method for distinguishing between diploid and tetraploid taxa of the genus Betula Linnaeus, based on leaf measurements. In total, 97 individuals from 6 locations within the Bohemian Forest region (Czech Republic) were selected. Four leaves from each individual were evaluated. On each leaf, twenty parameters were measured. Each sample was analysed by flow cytometry to determine its actual ploidy. Measured parameters were analysed by principal component analysis and tested for differences between diploid and tetraploid taxa. For actual ploidy prediction, a classification function was designed. The reliability of the classification function was verified on samples from three different regions of the Czech Republic and compared with functions as suggested by other authors. The classification function designed in this work (based on 3 parameters – blade width in the upper 1/4 of blade length, first vein angle and number of leaf teeth between 3<sup>rd</sup> and 4<sup>th</sup> vein) correctly determined actual ploidy in 89% of all tested samples.

scholarly journals Dry Port: A Review on Concept, Classification, Functionalities and Technological Processes

Logistics ◽  
2020 ◽  
Vol 4 (4) ◽  
pp. 29
Author(s):  
Erica Varese ◽  
Danilo Stefano Marigo ◽  
Mariarosaria Lombardi
Keyword(s):  
Scientific Community ◽  
Keyword Search ◽  
Common Denominator ◽  
Article Title ◽  
Technological Processes ◽  
Structured Approach ◽  
Concept Classification ◽  
Dry Ports ◽  
Classification Function

The purpose of this article is to offer a literature review on the development and classification of inland terminals, later defined as “dry ports”. The aim of the paper is to analyze the extant literature on dry ports focusing on their concept, classification, function and technological processes. The review offers an updated structured approach to what is currently defined as a dry port. To this end, a structured keyword search in major electronic databases has been conducted to find related material. As there are many different names indicating dry ports in European, South East Asian and North American countries, the following keywords were used: “dry port”, “inland terminal”, “freight village” and “interporto/i”. The search was conducted in respect of the article title and text, abstract and keywords. The results show that there is no unanimous consensus concerning cataloguing of terrestrial nodal facilities serving port gateways. “Dry ports” have emerged as fundamental elements of the integration between the sea “system” and the land network. The increased interest in the genesis and development of dry ports has been accompanied by an abundant contribution of the scientific community, originating a thriving literature, which, however, does not find a common denominator.

Study on Microbial Control of Coated Paper Coating

2011 ◽  
Vol 396-398 ◽  
pp. 1365-1368
Author(s):  
Yong Sheng Ma ◽  
Lin Tong Wang ◽  
Xian Hui Sun
Keyword(s):  
Microbial Control ◽  
High Yield ◽  
Application Technology ◽  
Paper Coating ◽  
Coated Paper ◽  
Function Mechanism ◽  
Development Direction ◽  
Low Dosage ◽  
Classification Function

Preservative was very necessary used in coated paper coating. Preservative was typical paper additive which was low dosage and high yield. Preservative classification, function mechanism and application technology of coated paper coating was introduced and summarized by the numbers in this paper. Finally the development direction and prospect of preservative used in coated paper coating was prospected.

On Tolerant Fuzzyc-Means Clustering

2009 ◽  
Vol 13 (4) ◽  
pp. 421-428 ◽  
Author(s):  
Yukihiro Hamasuna ◽  
◽  
Yasunori Endo ◽  
Sadaaki Miyamoto ◽  
Keyword(s):  
Optimization Problems ◽  
Clustering Algorithms ◽  
Fuzzy Classification ◽  
Optimal Solutions ◽  
Numerical Examples ◽  
New Type ◽  
Original Concept ◽  
Classification Function

This paper presents a new type of clustering algorithms by using a tolerance vector called tolerant fuzzyc-means clustering (TFCM). In the proposed algorithms, the new concept of tolerance vector plays very important role. In the original concept of tolerance, a tolerance vector attributes to each data. This concept is developed to handle data flexibly, that is, a tolerance vector attributes not only to each data but also each cluster. Using the new concept, we can consider the influence of clusters to each data by the tolerance. First, the new concept of tolerance is introduced into optimization problems based on conventional fuzzyc-means clustering (FCM). Second, the optimization problems with tolerance are solved by using Karush-Kuhn-Tucker conditions. Third, new clustering algorithms are constructed based on the explicit optimal solutions of the optimization problems. Finally, the effectiveness of the proposed algorithms is verified through numerical examples by fuzzy classification function.

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