F. Caputo, G. Lamanna, A. Soprano¹

Structural Durability & Health Monitoring, Vol.7, No.4, pp. 283-296, 2011, DOI:10.3970/sdhm.2011.007.283

Abstract The present paper deals with a numerical investigation on hybrid bolted joints between unidirectional, quasi isotropic Carbon Fiber Reinforced Polymer (CFRP) composite and aluminium alloy plates, subjected to traction loads. CFRP composite materials are widely used in aerospace applications, where requirements of weight reduction and structural high performances are very compelling. Composite materials generally present high resistance to fatigue and corrosion but the presence of joints in the structure can cause structural problems and then decrease the structural reliability of jointed component.
A hybrid bolted joint constituted of a metal plate, made of aluminium alloy, and a carbon fiber reinforced… More >

Qi Wang^1,*, Wei Liu¹, Hualong Yu¹, Shang Zheng¹, Shang Gao¹, Fabrizio Granelli²

CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.1, pp. 83-103, 2019, DOI:10.32604/cmes.2019.06897

Abstract The wireless sensor network (WSN) is widely employed in the application scenarios of the Internet of Things (IoT) in recent years. Extending the lifetime of the entire system had become a significant challenge due to the energy-constrained fundamental limits of sensor nodes on the perceptual layer of IoT. The clustering routing structures are currently the most popular solution, which can effectively reduce the energy consumption of the entire network and improve its reliability. This paper introduces an enhanced hybrid intelligential algorithm based on particle swarm optimization (PSO) and ant colony optimization (ACO) method. The enhanced PSO is deployed to select… More >

BING QI¹, XINMING ZHENG², WENYONG LI³, QINGXIN WEI², QINGXUAN CHEN¹

BIOCELL, Vol.31, No.2, pp. 199-203, 2007, DOI:10.32604/biocell.2007.31.199

Abstract Although there is more evidence that shows that IFNs (interferons) plays a very important role in the early development of the embryo, the mechanism of IFNs is still unclear. Our study showed that IFRG is expressed from oocytes- through to the preimplantation embryo in rabbits. This finding provides some clues for better understanding the role of IFNs in the development of the embryo. The full length of rabbit IFRG cDNA (Accession No. AJ584672), with a 2794bp encoding 131 amino acid sequence, was cloned IFRG expression can be detected in 8 different tissues: ovary, heart, lung, liver, kidney, spleen, cerebra, and… More >

CLAUDIA FERNANDA NOME¹ , SERGIO FERNANDO NOME² , FABIANA GUZMÁN¹ , LUIS CONCI¹, IRMA GRACIELA LAGUNA^1,2

BIOCELL, Vol.31, No.1, pp. 23-31, 2007, DOI:10.32604/biocell.2007.31.023

Abstract Among diseases reported worldwidely for sweet potato (Ipomoea batatas (L) Lam) crop, one of the most frequent is the Sweet potato virus disease (SPVD), caused by sweet potato chlorotic stunt virus (SPCSV) and sweet potato feathery mottle virus (SPFMV) co-infection. In Argentina, there exists the sweet potato chlorotic dwarf (SPCD), a sweet potato disease caused by triple co-infection with SPCSV, SPFMV and sweet potato mild speckling virus(SPMSV). Both diseases cause a synergism between the potyviruses(SPFMV and SPMSV) and the crinivirus (SPCSV). Up to date, studies carried out on the interaction among these three viruses have not described their localization in… More >

Preeti Tiwari^{1, *}, Piyush Shukla¹

Journal on Artificial Intelligence, Vol.1, No.2, pp. 45-58, 2019, DOI:10.32604/jai.2019.04444

Abstract The prediction of crop yield is one of the important factor and also challenging, to predict the future crop yield based on various criteria’s. Many advanced technologies are incorporated in the agricultural processes, which enhances the crop yield production efficiency. The process of predicting the crop yield can be done by taking agriculture data, which helps to analyze and make important decisions before and during cultivation. This paper focuses on the prediction of crop yield, where two models of machine learning are developed for this work. One is Modified Convolutional Neural Network (MCNN), and the other model is TLBO (Teacher… More >

J. W. Shin^1,3, Y. J. Kim², J. H. Kim¹, Y. J. Lee³, S. J. Heo³, Y. M. Hwang^1,3, D. H. Kim^1,3, J. W. Shin^1,3*

Molecular & Cellular Biomechanics, Vol.3, No.4, pp. 223-224, 2006, DOI:10.32604/mcb.2006.003.223

Abstract This article has no abstract. More >

Jianguo Ma^{1, 2}, Changgeng Shuai^{1, 2}, Yan Li^{1, 2}

Sound & Vibration, Vol.52, No.6, pp. 11-17, 2018, DOI:10.32604/sv.2018.03893

Abstract The design and optimization of actuators are difficult and critical for the active-passive hybrid vibration control system. In this paper, an electromagnetic actuator model is established based on Ohm’s Law for magnetic circuit considering the leakage flux. The 600N electromagnetic actuators are designed and optimized based on ANSYS simulation according to the engineering request. Its transient characteristics are studied. The effects of different structural parameters on its output force are analyzed. The experimental results show that the structure parameters and output force characteristics of the designed electromagnetic actuators satisfy the practical requirement. More >

Bin Chen^{1, *}, Shuyue Yu¹, Yan Gao²

Sound & Vibration, Vol.52, No.4, pp. 21-27, 2018, DOI:10.32604/sv.2018.03974

Abstract Investigations into active noise control (ANC) technique have been conducted with the aim of effective control of the low-frequency noise. In practice, however, the performance of currently available ANC systems degrades due to the effects of nonlinearity in the primary and secondary paths, primary noise and louder speaker. This paper proposes a hybrid control structure of nonlinear ANC system to control the non-stationary noise produced by the rotating machinery on the nonlinear primary path. A fast version of ensemble empirical mode decomposition is used to decompose the non-stationary primary noise into intrinsic mode functions, which are expanded using the second-order… More >

Min Yue^1,1, Jeanne C. Stachowiak^1,1,2,2, Arunava Majumdar^1,1,3,3

Molecular & Cellular Biomechanics, Vol.1, No.3, pp. 211-220, 2004, DOI:10.3970/mcb.2004.001.211

Abstract Microchips;ontaining arrays of cantilever beams have been used to mechanically detect and quantitatively analyze multiple reactions of DNA hybridization and antigen-antibody binding simultaneously. The reaction-induced deflection of a cantilever beam reflects the interplay between strain energy increase of the beam and the free energy reduction of a reaction, providing an ideal tool for investigating the connection between mechanics and chemistry of biomolecular reactions. Since free energy reduction is common for all reactions, the cantilever array forms a universal platform for label-free detection of various specific biomolecular reactions. A few such reactions and their implications in biology and biotechnology are discussed. More >

Min Huang*, Hengdong Zhang, Chunrong Zhao, Guanghui Chen and Yingbin Zou

Phyton-International Journal of Experimental Botany, Vol.88, No.2, pp. 101-107, 2019, DOI:10.32604/phyton.2019.06694

Abstract Improving grain amino acid content of rice (Oryza sativa L.) is essential for the health of consumers. This study was conducted to identify the physiological processes that contribute to the higher grain amino acid content in hybrid rice cultivar Lingliangyou 268 compared to Luliangyou 996. The results showed that total amino acid content in grains was 9% higher in Lingliangyou 268 than in Luliangyou 996. There was no significant difference in grain nitrogen (N) content between Lingliangyou 268 and Luliangyou 996, while ratio of amino acid to N was 6% higher in Lingliangyou 268 compared to Luliangyou 996. A total… More >