MARCOS MORGAN

BIOCELL, Vol.32, No.1, pp. 9-26, 2008, DOI:10.32604/biocell.2008.32.009

Abstract The clustered protocadherins (Pcdhs) are single-pass transmembrane proteins that constitute a subfamily within the cadherin superfamily. In mammals, they are arranged in three consecutive clusters named α, β, and γ. These proteins are expressed in the nervous system and are targeted to mature synapses. Interestingly, different neurons express different subsets of isoforms; however, little is known about the functions and expression of the clustered Pcdhs.
Previous phylogenetic analyses that compared rodent and human clusters postulated the recent occurrence of gene duplication events. Using standard phylogenetic methods, I confirmed the prior observations, and I show that duplications are likely to… More >

Abozeid A^1,2, Y Liu¹, J Liu¹, ZH Tang¹

Phyton-International Journal of Experimental Botany, Vol.86, pp. 306-317, 2017, DOI:10.32604/phyton.2017.86.306

Abstract The genus Vicia L. belongs to the tribe Vicieae of the Fabaceae family. The genus includes about 190 species, from which about 40 species have economic importance. Some of them are food crops, but more than a dozen are forage plants. In this study, leaves of Vicia species from China, USA and Argentina were examined using stereo-microscopy and light microscopy. We determined macro- and micro-morphological characteristics that could be of taxonomic use. Forty eight characteristics of each taxon were determined including petiole and tendril length; leaflets number, length, width, shape, apex, base; blade surface, trichome shape, type, base and length;… More >

Lubna Alhenak¹, Manar Hosny^1,*

CMC-Computers, Materials & Continua, Vol.61, No.3, pp. 1045-1074, 2019, DOI:10.32604/cmc.2019.08355

Abstract In recent years, the volume of information in digital form has increased tremendously owing to the increased popularity of the World Wide Web. As a result, the use of techniques for extracting useful information from large collections of data, and particularly documents, has become more necessary and challenging. Text clustering is such a technique; it consists in dividing a set of text documents into clusters (groups), so that documents within the same cluster are closely related, whereas documents in different clusters are as different as possible. Clustering depends on measuring the content (i.e., words) of a document in terms of… More >

Yanzhen Wang¹, Xuefeng Yan^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.1, pp. 123-144, 2019, DOI:10.32604/cmes.2019.07052

Abstract A single model cannot satisfy the high-precision prediction requirements given the high nonlinearity between variables. By contrast, ensemble models can effectively solve this problem. Three key factors for improving the accuracy of ensemble models are namely the high accuracy of a submodel, the diversity between subsample sets and the optimal ensemble method. This study presents an improved ensemble modeling method to improve the prediction precision and generalization capability of the model. Our proposed method first uses a bagging algorithm to generate multiple subsample sets. Second, an indicator vector is defined to describe these subsample sets. Third, subsample sets are selected… More >

Weijin Jiang^1,2,3, Jiahui Chen^1,*, Yirong Jiang^4,*, Yuhui Xu¹, Yang Wang¹, Lina Tan¹, Guo Liang⁵

CMC-Computers, Materials & Continua, Vol.61, No.2, pp. 849-859, 2019, DOI:10.32604/cmc.2019.05932

Abstract Aiming at the problem that the traditional collaborative filtering recommendation algorithm does not fully consider the influence of correlation between projects on recommendation accuracy, this paper introduces project attribute fuzzy matrix, measures the project relevance through fuzzy clustering method, and classifies all project attributes. Then, the weight of the project relevance is introduced in the user similarity calculation, so that the nearest neighbor search is more accurate. In the prediction scoring section, considering the change of user interest with time, it is proposed to use the time weighting function to improve the influence of the time effect of the evaluation,… More >

Sujit Sil^{1, 2}, Tanmoy Mallick², Tuhin Pal¹, Animesh Mondal¹, Kalyan Kumar De¹ and Asok Ghosh^2,*

Phyton-International Journal of Experimental Botany, Vol.88, No.3, pp. 295-315, 2019, DOI:10.32604/phyton.2019.06907

Abstract The genus Saraca L. (Leguminosae) is a universal panacea in herbal medicine. The present study investigates the comparative pollen morphology of four species of Saraca viz. S. asoca (Roxb.) de Wilde, S. declinata (Jack) Miq., S. indica L., and S. thaipingensis Cantley ex Prain growing in India to reveal differences of their pollen structures to aid taxonomic and evolutionary values. The detailed morphology and surface structure of pollen grains were studied and described using light microscopy and scanning electron microscopy. The pollen grains of Saraca showed isopolar, para-syncolporate, tricolporate, with radially symmetric, prolate and prolate-spheroidal structure. The surface of pollen… More >

Ozturk M¹, S Gucel², V Altay³, MSA Ahmad⁴, MY Ashraf⁵, M Ashraf⁶

Phyton-International Journal of Experimental Botany, Vol.88, No.1, pp. 63-68, 2019, DOI:10.32604/phyton.2019.04574

Abstract This paper presents the work conducted on the chemical constituents of some common and widely distributed halophyte taxa from Cyprus with the aim that these studies will help in the evaluation of halophytes for different economical purposes. The plant species of Crithmum maritimum L., Limbarda crithmoides (L.) Dumort, Atriplex portulacoides L., Salsola kali L., Atriplex halimus L., Limonium oleifolium Mill., L. meyeri (Boiss.) Kuntze; and Tetraena alba (L.f.) Beier & Thulin were collected in the middle of July. The shoot tissue and leaf samples were collected from the natural habitats and left for drying under air circulation followed by placing… More >

Guojian Li, Qiang Wang, Yongze Cao, Jiaojiao Du, Jicheng He

The International Conference on Computational & Experimental Engineering and Sciences, Vol.19, No.4, pp. 119-120, 2011, DOI:10.3970/icces.2011.019.119

Abstract This paper studies the size-dependent freezing of Co, Co-Ni, and Co-Cu clusters by using molecular dynamics with a general embedded atom method. There is size effect occurs in these three types of clusters. The clusters with large sizes always freeze to form their bulk-like structures. However, the frozen structures for small sizes are generally related to their compositions. The icosahedral clusters are formed for Co clusters (for 3.2 nm diameter) and also for Co-Ni clusters but at a larger size range (for 4.08 nm). Upon Co-Cu clusters, decohedral structure is obtained for small size (for 2.47 nm). The released energy… More >

Shouzhou Gu^1,*, Jinzhong Bei¹, Chuang Shi², Yaming Dang¹, Zuoya Zheng⁴, Congcong Cui⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.2, pp. 281-293, 2019, DOI:10.32604/cmes.2019.04421

Abstract With the development of various navigation systems (such as GLONASS, Galileo, BDS), there is a sharp increase in the number of visible satellites. Accordingly, the probability of multiply gross measurements will increase. However, the conventional RAIM methods are difficult to meet the demands of the navigation system. In order to solve the problem of checking and identify multiple gross errors of receiver autonomous integrity monitoring (RAIM), this paper designed full matrix of single point positioning by QR decomposition, and proposed a new RAIM algorithm based on fuzzy clustering analysis with fuzzy c-means (FCM). And on the condition of single or… More >

S. Yotte¹, J. Riss, D. Breysse, S. Ghosh

CMES-Computer Modeling in Engineering & Sciences, Vol.5, No.2, pp. 171-188, 2004, DOI:10.3970/cmes.2004.005.171

Abstract Particle distribution influences the particulate reinforced metal matrix composites (PMMC). The knowledge of particle distribution is essential for material design. The study of particle distribution relies on analysis of material images. In this paper three methods are used on an image of an Al/SiC composite. The first method consists in applying successive dilations to the image. At each step the number of objects and the total object area are determined. The decrease of the number of objects as a function of the area is an indicator of characteristic distances. The second method is based on dilations of one particle among… More >