Linear Classification Function Emulated by Pectin‐Based Polysaccharide‐Gated Multiterminal Neuron Transistors

2021 ◽  
pp. 2102015
Author(s):  
Jianmiao Guo ◽  
Yanghui Liu ◽  
Feichi Zhou ◽  
Fangzhou Li ◽  
Yingtao Li ◽  
...  
1989 ◽  
Vol 67 (1) ◽  
pp. 46-52 ◽  
Author(s):  
Bernard R. Baum ◽  
L. Grant Bailey

Justifications for recognizing H. brachyantherum Nevski and H. californicum Covas as separate species are provided from multivariate morphometric analyses and from lodicule and epiblast characters. Although the range of variation of the latter species is included in the range of the former for most morphometric characters, the two are distinct when all of the characters are in multivariate space. Furthermore, H. brachyantherum is allotetraploid (2n = 4X = 28) and H. californicum is diploid (2n = 2X = 14) as previously reported. Identification to species can be done with a high degree of accuracy by means of the linear classification function coefficients, which after cross validation using the bootstrap method, has been found to be reliable, by the lodicules and epiblasts, or more conclusively by the chromosome number.


2017 ◽  
Vol 54 ◽  
pp. 112-119
Author(s):  
L. M. Khmelnychy

The estimation of the first-born cows of Ukrainian Black-and-White dairy breed by the exterior type in the leading breeding herds of Cherkassy region by the method of linear classification (n = 566) has been carried out. The results of the evaluated animals by the 100-score system indicate that within the group of traits, the average level of assessment is "good with the plus". The animals have been differed by the good development of group features characterizing the dairy type (82.4 score), body condition (83.5 score), limbs (82.8 score), udder (82.7 score) and overall score (82.8 score). The degree of development 18 descriptive traits of the exterior of cows, has been predicted by the method of linear classification, indicates their significant intraherd variability. Animals have the moderate height, deep body and angularity. The rump angle, the angle of hock joint and the teats length, according to the variability of scores in the range of 17.8–22.4%, have an average optimal development. The level of scores for the rear width (5.9 score), attachment of the fore (6.3 score) and the rear parts (6.0 score) of the udder testifies to their good development. The body structure of the cows-firstborn has a sufficient description of the type traits that determine their milk yield. At the present stage of selection and breeding work due to the use of bull-sires different origins and breeding value on the local population livestock with significant genotype diversity, the degree of influence each of the hereditary factors in the overall variability of linear features has a scientific and practical significance. In our studies, the force of influence conditional bloodiness of the Holstein mother's breed in the overall fraction of variability of linear type traits within the exterior complexes and the overall assessment takes a significant percentage - from 24.9 to 31.5 with a high degree of reliability according to Fischer's criterion. Among the descriptive traits, the proportion of influence the conditional bloodiness of mother, which is confirmed by high statistical confidence, ranges from 14.4 to 19.8%, and refers to the traits important for breeding. The level of coefficients of influence the father's breeding value in the total phenotypic variability for some of the linear traits is high and reliable. First of all it concerns group traits of the exterior, the development of which is determined by the pedigree value of father by 37.1–41.8%, and the overall assessment of type – by 46.6%. The coefficients of influence father's breeding value in most of the descriptive traits have high reliability (P < 0,001). The coefficients of the force of influence father, depending on the heredity of Holstein for the linear traits of almost the same level as his pedigree value. Since in this case the organized factor is purebreed Holstein and crossbreed bulls-sires of domestic selection, the positive role of Holstein heredity in improving the exterior type of cows has been traced realistically. The necessity of linear breeding, as an effective method in the system of dairy cattle breeding, has been substantiated by reliable values of the coefficients of the force of influence of father's line on the linear traits of offspring (3.4–29.5%). Despite the significant variability of coefficients of the force of influence on the linear traits, most of them have a high level of reliability within the evaluated body parts important for selection. The effect of cows belonging to the maternal line on the development of features of the body structure is insignificant and unreliable (5.3–9.2%). In the process of breeding aimed at improving cows of dairy herd by the exterior type, the pedigree value of parents has been assessed according to the method of linear classification of their daughters and their belonging to perspective genealogical formations.


Author(s):  
L.I. Shalamay ◽  
E.Y. Nechai ◽  
A.I. Sakerina ◽  
A.G. Gabdullin

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.


2014 ◽  
Vol 687-691 ◽  
pp. 1462-1465
Author(s):  
Zhi Liang Zhang

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.


2021 ◽  
pp. 107385842110468
Author(s):  
Yuxin Shen ◽  
Zhengyi Huang ◽  
Ruiqing Yang ◽  
Yunlong Chen ◽  
Qiang Wang ◽  
...  

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.


Author(s):  
Bernd Accou ◽  
Mohammad Jalilpour Monesi ◽  
Hugo Van hamme ◽  
Tom Francart

2017 ◽  
Vol 63 (No. 12) ◽  
pp. 531-537 ◽  
Author(s):  
Linda Rostislav ◽  
Kuneš Ivan ◽  
Baláš Martin ◽  
Gallo Josef

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.


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