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      • KCI등재

        Nitric Oxide Alleviates Deterioration and Preserves Antioxidant Properties in ‘Tainong’ Mango Fruit During Ripening

        Yanfang Ren,Junyu He,Houyu Liu,Guoqing Liu,Xiaoling Ren 한국원예학회 2017 Horticulture, Environment, and Biotechnology Vol.58 No.1

        We investigated the effects of nitric oxide (NO) on quality, membrane lipid peroxidation, and antioxidantenzymes in mango (Mangifera indica L. cv ‘Tainong’) fruit during ripening. Fruits were treated with 0.25 mmol·L-1sodium nitroprusside (SNP) by the immersion method and stored at 23°C for 20 days. SNP treatment significantlysuppressed the respiration rate, enhanced fruit firmness, and decreased the rot index, peel color index, and weightloss in the fruit. This treatment also slowed the increase in soluble solids content (SSC) while maintaining highlevels of titratable acidity (TA), ascorbic acid (AsA), and phenolic compounds. Furthermore, SNP treatment enhancedthe antioxidant activities of superoxide dismutase (SOD), catalase (CAT), and peroxidase (POD) and reduced theactivities of lipoxygenase (LOX) and polyphenol oxidase (PPO) in mango fruit, which was associated with the reducedaccumulation of malondialdehyde (MDA), superoxide anion radical (O2•-), and hydrogen peroxide (H2O2) comparedwith the control. Therefore, the addition of exogenous SNP has the potential for improving quality and prolongingthe shelf life of mango fruits by protecting them against oxidative damage caused by ROS during ripening.

      • KCI등재

        A new cable force identification method considering cable flexural rigidity

        Long Wang,Bo Wu,Junyue Gao,Kairong Shi,Wenzhi Pan,Zhuoyi He,Zhijian Ruan,Quanpan Lin 국제구조공학회 2018 Structural Engineering and Mechanics, An Int'l Jou Vol.68 No.2

        Cables are the main load-bearing members of prestressed structure and other tensegrity structures. Based on the static equilibrium principle, a new cable force identification method considering cable flexural rigidity is proposed. Its computational formula is derived and the strategy to solve its implicit formula is introduced as well. In order to improve the reliability and practicality of this method, the influence of the cable flexural rigidity on cable force identification accuracy is also investigated. Through cable force identification experiments, the relationships among certain parameters including jacking force, jacking displacement, initial cable force, and sectional area (flexural rigidity) are studied. The results show that the cable force calculated by the proposed method considering flexural rigidity is in good agreement with the finite element results and experimental results. The proposed method with high computational accuracy and resolution efficiency can avoid the influences of the boundary condition and the length of the cable on calculation accuracy and is proven to be conveniently applied to cable force identification in practice.

      • SCIESCOPUS

        A new cable force identification method considering cable flexural rigidity

        Wang, Long,Wu, Bo,Gao, Junyue,Shi, Kairong,Pan, Wenzhi,He, Zhuoyi,Ruan, Zhijian,Lin, Quanpan 국제구조공학회 2018 Structural Engineering and Mechanics, An Int'l Jou Vol.68 No.2

        Cables are the main load-bearing members of prestressed structure and other tensegrity structures. Based on the static equilibrium principle, a new cable force identification method considering cable flexural rigidity is proposed. Its computational formula is derived and the strategy to solve its implicit formula is introduced as well. In order to improve the reliability and practicality of this method, the influence of the cable flexural rigidity on cable force identification accuracy is also investigated. Through cable force identification experiments, the relationships among certain parameters including jacking force, jacking displacement, initial cable force, and sectional area (flexural rigidity) are studied. The results show that the cable force calculated by the proposed method considering flexural rigidity is in good agreement with the finite element results and experimental results. The proposed method with high computational accuracy and resolution efficiency can avoid the influences of the boundary condition and the length of the cable on calculation accuracy and is proven to be conveniently applied to cable force identification in practice.

      • KCI등재

        Evaluation of the composition and fumigant toxicity against Plodia interpunctella of essential oils from Ajania potaninii and Ajania fruticulosa

        Shao Yazhou,Ning Anqi,An Yue,Hou Zhibo,Zhou Feng,He Chuyu,Zhang Ji,Liang Junyu 한국응용곤충학회 2021 Journal of Asia-Pacific Entomology Vol.24 No.4

        Indian meal moth, Plodia interpunctella (Lepidoptera: Pyralidae), is a worldwide omnivorous pest. It is the pri mary insect pest in many economically important stored crops. The insecticidal activity of essential oils (EOs) extracted from Ajania potaninii and Ajania fruticulosa were evaluated against Plodia interpunctella. EOs obtained by hydro-distillation were analyzed by GC–MS. Fumigant toxicity testing indicated that both EOs and their main components were toxic to P. interpunctella adults. 1,8-Cineole exhibited the strongest activity, having an LC 50 of 0.86 mg/L air and being twice as active as camphor. Myrtenol was also strongly toxic to P. interpunctella adults (LC 50 0.99 mg/L air), while camphor, verbenol, borneol, and the two complete EOs exhibited lower toxicity. None of the EOs or main components exhibited significant toxicity against the larvae of P. interpunctella. This study provides evidence of the individual active substances accounting for the insecticidal activity of EOs from A. potaninii and A. fruticulosa. These EOs have potential as biological insecticides for controlling insect pest damage in stored crops.

      • KCI등재

        Rolling bearing fault diagnosis based on mean multigranulation decision-theoretic rough set and non-naive Bayesian classifier

        Jun Yu,Bo Ding,Yongjun He 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.11

        To analyze data from multi-level view, reduce computational burden, and improve fault diagnosis accuracy, a novel fault diagnosis method of rolling bearings based on mean multigranulation decision-theoretic rough set (MMG-DTRS) and non-naive Bayesian classifier (NNBC) is proposed in this paper. First, fault diagnosis features of rolling bearings in training samples are extracted to construct MMG-DTRS. Then, the significance degree of condition attribute in MMG-DTRS is defined to quantitatively measure the influence of condition attributes with respect to the decision ability of an information system. An attribute reduction algorithm based on MMG-DTRS is applied to acquire a lower dimensional condition attribute set, which reduces computational complexity and avoids the interference of irrelevant or redundant condition attributes. Finally, NNBC is constructed to classify rolling bearing conditions in test samples. The classification procedures by using NNBC are given. The performance of the proposed method is validated and the advantages are investigated by using a fault diagnosis experiment of rolling bearings. Experimental investigations demonstrate the proposed method is effective and reliable in identifying fault categories and fault severities of rolling bearings.

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