G. Kadiravan¹, P. Sujatha¹, T. Asvany¹, R. Punithavathi², Mohamed Elhoseny³, Irina V. Pustokhina⁴, Denis A. Pustokhin⁵, K. Shankar^6,*

CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 3215-3231, 2021, DOI:10.32604/cmc.2021.013034

Abstract Nowadays, healthcare applications necessitate maximum volume of medical data to be fed to help the physicians, academicians, pathologists, doctors and other healthcare professionals. Advancements in the domain of Wireless Sensor Networks (WSN) and Multimedia Wireless Sensor Networks (MWSN) are tremendous. M-WMSN is an advanced form of conventional Wireless Sensor Networks (WSN) to networks that use multimedia devices. When compared with traditional WSN, the quantity of data transmission in M-WMSN is significantly high due to the presence of multimedia content. Hence, clustering techniques are deployed to achieve low amount of energy utilization. The current research work aims at introducing a new… More >

Azuara Hernández¹ L, H Silos Espino¹, C Perales Segovia¹, JF Gómez Leyva², AG Alpuche Solís³, LM Macias Valdez⁴

Phyton-International Journal of Experimental Botany, Vol.77, pp. 81-91, 2008, DOI:10.32604/phyton.2008.77.081

Abstract The objective of this study was to compare the yield and genetic relationships between two Perla garlic selections, obtained by individual selection of cloves, and commercial varieties and cultivars adapted to diverse regions of Mexico (which did not have a selection process). Varieties with fewer cloves showed higher yields. Coreano and California produced 20 ton/ha (fresh weight) and Perla selections between 17-19 ton/ha (fresh weight). Six primers of the series OPB were tested for genetic characterization and OPB-17 was selected. With the amplified DNA fragments, a bina-ry matrix was generated; afterwards, a dissimilarity matrix and dendrogram were developed. High genetic… More >

Gálvez Muñoz YA¹, E Martínez Moreno², S Ramírez Vera², L Latournerie Moreno³, JM Lesher Gordillo¹, G Castañón Nájera^1*

Phyton-International Journal of Experimental Botany, Vol.87, pp. 60-67, 2018, DOI:10.32604/phyton.2018.87.060

Abstract The research was conducted with the aim to identify the variability in situ of wild and semi-wild morphotypes of Capsicum spp. that were found growing in different places of Tabasco and the north of Chiapas States. Morphotypes included “Amashito” (five types), “Pico de paloma” (two types), “Garbanzo”, “Ojo de sapo”, “Ojo de cangrejo”, “Colmillo de lagarto” and “Corazón de pollo”. Such characterization is important because there is an extensive variability of forms cultivated in the country, resulting from a wide range of agroecological diversity as well as diverse forms, colours, flavors and sizes that constitute a valuable collection of genes… More >

M.T. MARTIN^*, H.E. PEDRANZANI^**, R. SIERRA DE GRADO

BIOCELL, Vol.31, No.1, pp. 41-49, 2007, DOI:10.32604/biocell.2007.31.041

Abstract An in vitro collection has been established with selected European aspen from Palencia province (Spain). Currently, this collection includes 32 high quality clones, selected for their good bearing and healthy state. Most of them belong to different discrete local populations.
Populus tremula L. was propagated in proliferation Aspen Culture Medium; they required subculture every 3 months. The purpose of this study was, therefore, to select a medium which allows the maintenance of 32 clones for a period longer than 3 months without subculture and to observe the behavior of those clones in 15 different culture medium compositions. Seven nodal cutting… More >

Jin Wang^1,2,3, Yu Gao³, Wei Liu³, Wenbing Wu¹, Se-Jung Lim^4,*

CMC-Computers, Materials & Continua, Vol.58, No.3, pp. 711-725, 2019, DOI:10.32604/cmc.2019.05450

Abstract Recently, Wireless sensor networks (WSNs) have become very popular research topics which are applied to many applications. They provide pervasive computing services and techniques in various potential applications for the Internet of Things (IoT). An Asynchronous Clustering and Mobile Data Gathering based on Timer Mechanism (ACMDGTM) algorithm is proposed which would mitigate the problem of “hot spots” among sensors to enhance the lifetime of networks. The clustering process takes sensors’ location and residual energy into consideration to elect suitable cluster heads. Furthermore, one mobile sink node is employed to access cluster heads in accordance with the data overflow time and… More >