Tao Li¹, Xiang Li^{1, *}, Yongjun Ren², Jinyue Xia³

CMC-Computers, Materials & Continua, Vol.63, No.2, pp. 621-631, 2020, DOI:10.32604/cmc.2020.06463

Abstract In view of the low accuracy of traditional ground nephogram recognition model, the authors put forward a k-means algorithm-acquired neural network ensemble method, which takes BP neural network ensemble model as the basis, uses k-means algorithm to choose the individual neural networks with partial diversities for integration, and builds the cloud form classification model. Through simulation experiments on ground nephogram samples, the results show that the algorithm proposed in the article can effectively improve the Classification accuracy of ground nephogram recognition in comparison with applying single BP neural network and traditional BP AdaBoost ensemble algorithm on classification of ground nephogram. More >

SILVIA S. BORKOSKY^1,2, HITOSHI NAGATSUKA¹, YORIHISA ORITA³, HIDETSUGU TSUJIGIWA⁴, JUNKO YOSHINOBU³, MEHMET GUNDUZ¹, ANDREA P. RODRIGUEZ¹, LILIANA R. MISSANA², KAZUNORI NISHIZAKI³, NORIYUKI NAGAI¹

BIOCELL, Vol.32, No.3, pp. 251-257, 2008, DOI:10.32604/biocell.2008.32.251

Abstract The Notch signaling pathway is an evolutionary conserved mechanism that plays an important role in cell-cell communication and cell fate in a wide range of tissues. The mammalian family of Notch receptors consists of 4 members: Notch1/2/3/4. The Notch ligand family consists of 5 members: Delta1/3/4 and Jagged1/2. Math1 encodes a murine basic helix-loop-helix (bHLH) transcription factor that acts as positive regulator of cell differentiation. Recently, links between Notch and Math1 pathways were demonstrated in various tissues. Expression of Notch1, Jagged2 and Math1 were analyzed in the mouse molar tooth germ during embryonic stage (E) 13 and E15 and during… More >

CECILIA I. IBAÑEZ DE BARRETT, JUAN PABLO BOZZINI, MARTA MARIANO DE BOZZINI*

BIOCELL, Vol.28, No.3, pp. 259-269, 2004, DOI:10.32604/biocell.2004.28.259

Abstract The post-embryonic development of the female gonads in Triatoma infestans (Hemiptera, Heteroptera), insects of importance in health affairs as harbors and vectors of different tripanosomatidea flagellates, is presented in a complete follow-up since insect hatches from the egg up to the last molt in the fifth instar stage. The detailed description of the morphological changes which occur in each instar as well as careful measurements evaluating its size increase have been analyzed by stereomicroscopy, phase contrast, dark field, and oblique illumination, in order to optimize the observations as well the photographic register of gonad morphology and structure.
The analysis… More >

Abd-Elsalam KA^1,2, K Youssef^1,2, H Almoammar³

Phyton-International Journal of Experimental Botany, Vol.84, No.1, pp. 128-131, 2015, DOI:10.32604/phyton.2015.84.128

Abstract Losses due to postharvest decay may occur at any time during postharvest handling, from harvest to consumption affecting the produce quality and quantity. Accurate identification of the pathogen causing postharvest disease is essential to the selection of an appropriate disease control approach. Nine isolates of Fusarium recovered from orange fruit were identified as Fusarium solani. The fungus is involved with fruit decay. The obtained cultures were purified and grown on potato-dextrose agar (PDA), malt yeast agar (MYA), and Czapek's nutrient media (CNM) under light for identification. A pathogenicity test was carried out to fulfil Koch's postulates. The pathogen could only… More >

O’Connor-Sánchez¹ A, AV Domínguez-May¹, MA Keb-Llanes¹, YJ Peña-Ramírez², VA Herrera-Valencia¹

Phyton-International Journal of Experimental Botany, Vol.79, pp. 25-29, 2010, DOI:10.32604/phyton.2010.79.025

Abstract A reliable protocol for plant regeneration of Mullein Nightshade (Solanum donianum Walp.) was developed from in vitro leaf explants. They were cultured on Murashige and Skoog semisolid medium, supplemented with several combinations of zeatin riboside and 1-naphthaleneacetic acid for shoot regeneration. The formulation that originated most shoots per explant was 8.5 μM zeatin riboside in absence of 1-naphthalene acetic acid. Explants with shoots were transferred to Murashige and Skoog medium, with half the normal salt concentration and without plant growth regulators for elongation. Elongated shoots were individualized, and they rooted readily in half-strength Murashige and Skoog medium without plant growth… More >

Linhong Deng^1,*, Yang Jin², Mingzhi Luo¹

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 80-80, 2019, DOI:10.32604/mcb.2019.07370

Abstract Airway smooth muscle cells (ASMCs) exists within the bronchial airway wall in a form of spirally winding bundles [1]. This pattern emerges early during embryonic development and is involved in airway branching [2], providing the airway appropriate contractile capacity and resistance to circumferential tension in health or causing excessive airway narrowing in disease such as asthma. Despite its importance, the cause of ASMCs self-organization remains largely a mystery. Previously, we have demonstrated in 2D that ASMCs can sense the curvature in their microenvironment and change behaviors in differentiation, orientation and migration accordingly [3]. Here we further explore in 3D microenvironment… More >

D.E. Ingber¹

Molecular & Cellular Biomechanics, Vol.1, No.1, pp. 53-68, 2004, DOI:10.3970/mcb.2004.001.053

Abstract This article is a summary of a lecture presented at a symposium on "Mechanics and Chemistry of Biosystems'' in honor of Professor Y.C. Fung that convened at the University of California, Irvine in February 2004. The article reviews work from our laboratory that focuses on the mechanism by which mechanical and chemical signals interplay to control how individual cells decide whether to grow, differentiate, move, or die, and thereby promote pattern formation during tissue morphogenesis. Pursuit of this challenge has required development and application of new microtechnologies, theoretical formulations, computational models and bioinformatics tools. These approaches have been used to… More >

Xiaoying Chen^{1, 2, *}, Shijun Zhao², Xiaolei Wang², Xuejin Sun², Jing Feng², Nan Ye³

CMC-Computers, Materials & Continua, Vol.61, No.2, pp. 861-875, 2019, DOI:10.32604/cmc.2019.06230

Abstract It is important to extract texture feature from the ground-base cloud image for cloud type automatic detection. In this paper, a new method is presented to capture the contour edge, texture and geometric structure of cloud images by using Contourlet and the power spectrum analysis algorithm. More abundant texture information is extracted. Cloud images can be obtained a multiscale and multidirection decomposition. The coefficient matrix from Contourlet transform of ground nephogram is calculated. The energy, mean and variance characteristics calculated from coefficient matrix are composed of the feature information. The frequency information of the data series from the feature vector… More >

Zhizheng Zhang¹, Jing Feng^1,*, Jun Yan², Xiaolei Wang¹, Xiaocun Shu¹

Journal of New Media, Vol.1, No.1, pp. 1-9, 2019, DOI:10.32604/jnm.2019.05937

Abstract Clouds play an important role in modulating radiation processes and climate changes in the Earth's atmosphere. Currently, measurement of meteorological elements such as temperature, air pressure, humidity, and wind has been automated. However, the cloud's automatic identification technology is still not perfect. Thus, this paper presents an approach that extracts dense scale-invariant feature transform (Dense_SIFT) as the local features of four typical cloud images. The extracted cloud features are then clustered by K-means algorithm, and the bag-of-words (BoW) model is used to describe each ground-based cloud image. Finally, support vector machine (SVM) is used for classification and recognition. Based on… More >