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Jian‑bo Xie,Bei‑bei Liu,Xiang‑yu Wu,Jian‑xun Fu 대한금속·재료학회 2022 METALS AND MATERIALS International Vol.28 No.5
This work aims to comprehensively summarize the types and distribution of the isolated Bi particles and MnS inclusions inthe Bi-bearing steels, to study the precipitated behavior of sulfide, and to study the effect of Bi particles on grain sizes andthe volume thermal expansion coefficients of the steels. Results show that the average percentage of the isolated Bi particles,semi-encapsulation, complete encapsulation, back-bridge, tiny encapsulation, cavity bridge Bi–MnS inclusions in the Bibearingsteels was 16.89%, 20.49%, 3.44%, 16.89%, 31.63%, 10.66%, respectively. The average equivalent diameters of thegrains in the 0 ppm, 130 ppm, 240 ppm, 760 ppm, 1200 ppm and 2300 ppm Bi content steels were 20.88, 20.17, 19.54, 18.13,13.98 and 13.25 μm, respectively. The precipitated equilibrium mass concentration product of the MnS (w[Mn]·w[S]) wascalculated to be 1.07, and the solid fraction fS value was 0.61. At 950 °C, the volume thermal expansion coefficient change(ΔVE) in 760 ppm Bi content steel was minimum 4 × 10–10%, while at 461.6 °C the ΔVE was maximum, 0.09%, which meansthat Bi affected the volume thermal expansion of the steel strongest in this temperature range.
Molecular characterization of chemosensory protein genes in Bactrocera minax (Diptera: Tephritidae)
Wang Zhao‐Xiang,Qi Zhen‐hua,Chen Jian,Wang Fu‐Lian,Gui Lian‐You,Zhang Guo‐Hui 한국곤충학회 2021 Entomological Research Vol.51 No.7
Chemoreception is of great importance for survival of insects. Chemosensory proteins (CSPs) are believed to be involved in the perireceptor events of chemosensory system in many insect species, but this has not been clarified in the citrus fruit fly, Bactrocera minax, a serious dipteran pest of citrus crops. Previous studies indicated that four CSP genes were identified in many fly speices in Diptera. In the present study, we also identified four CSP genes in B. minax,namely BminCSP1–4, from a transcriptome database. All CSP proteins encoded by these genes bear the typical hallmarks of the CSP family: an N-terminal signal peptide and the four highly conserved cysteine residues. Phylogenetic analysis comparing with other dipteran CSPs indicated that dipteran CSPs may evolved from three ancestral CSP genes, and revealed the sequence diversities of BminCSPs and showed that BminCSP1–4 are clustered in separate groups, indicating the possibility of their contrasting function in B. minax. Furthermore, the tissue distribution of the four CSP genes in adult B. minax was analyzed by real-time quantitiative PCR. The results demonstrated that BminCSP3 are significantly transcriptionally enriched in antennae; BminCSP4 expressed primarily in heads; BminCSP1 and BminCSP2 showed high expressions in different tissues, such as antennae, abdomens and wings. Based on these findings, the different implications for the functions of BminCSPs are discussed. This study will offer a significant indication for further functional studies of the CSPs in B. minax
Radar Emitter Signals Identification with a Optimal Recurrent Type 2 Wavelet Fuzzy Neural Network
Xiang-jian Chen,Di Li,Xi-Bei Yang,Hongmei Li 한국항공우주학회 2018 International Journal of Aeronautical and Space Sc Vol.19 No.3
One optimal recurrent type 2-wavelet fuzzy neural network (RT2WFNN) is proposed in this paper to deal with the problem of emitter identification caused by some types of noise. The RT2WFNN has both an on-line parameter and structure learning ability. The new adaptive method based on gradient decent with Lyapunov theorem used for parameter learning can improve the learning ability of RT2WFNN; the type 2 FCM and optimal improved EKM algorithm are used to select the cluster centers of the membership functions in the antecedent part of fuzzy rules of the RT2WFNN for shortening the adjustment time. A number of simulations are presented to demonstrate the identification capability of the RT2WFNN algorithm for the radar emitter identification. The simulation and actual experimental results illustrated that the proposed RT2WFNN cannot only have better identification capability, but also is relatively more insensitive to noise and accelerate the computing speed.
Modeling and designing intelligent adaptive sliding mode controller for an Eight-Rotor MAV
Xiang-jian Chen,Di Li 한국항공우주학회 2013 International Journal of Aeronautical and Space Sc Vol.14 No.2
This paper focuses on the modeling and intelligent control of the new Eight-Rotor MAV, which is used to solve the problem of the low coefficient proportion between lift and gravity for the Quadrotor MAV. The Eight-Rotor MAV is a nonlinear plant, so that it is difficult to obtain stable control, due to uncertainties. The purpose of this paper is to propose a robust, stable attitude control strategy for the Eight-Rotor MAV, to accommodate system uncertainties, variations, and external disturbances. First, an interval type-Ⅱ fuzzy neural network is employed to approximate the nonlinearity function and uncertainty functions in the dynamic model of the Eight-Rotor MAV. Then, the parameters of the interval type-Ⅱ fuzzy neural network and gain of sliding mode control can be tuned on-line by adaptive laws based on the Lyapunov synthesis approach, and the Lyapunov stability theorem has been used to testify the asymptotic stability of the closed-loop system. The validity of the proposed control method has been verified in the Eight-Rotor MAV through real-time experiments. The experimental results show that the performance of the interval type-Ⅱ fuzzy neural network based adaptive sliding mode controller could guarantee the Eight- Rotor MAV control system good performances under uncertainties, variations, and external disturbances. This controller is significantly improved, compared with the conventional adaptive sliding mode controller, and the type-Ⅰ fuzzy neural network based sliding mode controller.
Xiang-jian Chen,Di Li 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.12
The proposed RAITIIFNNC system is comprised of a interval type II fuzzy neural network identifier and a robust controller. The identifier is utilized for online estimation of the compound uncertainties. The robust controller is used to attenuate the effects of the approximation error so that the perfect tracking and synchronization of chaotic systems are achieved. All the parameter learning algorithms are derived based on Lyapunov stability theorem to ensure network convergence as well as stable synchronization performance. From the simulation example, to synchronize two Lorenz chaotic systems, it has been shown that the effectiveness of the proposed method has been verified.
Complete Mitochondrial Genome of a Tongue Worm Armillifer agkistrodontis
Jian Li,Fu-Nan He,Hong-Xiang Zheng,Rui-Xiang Zhang,Yi-Jing Ren,Wei Hu 대한기생충학열대의학회 2016 The Korean Journal of Parasitology Vol.54 No.6
Armillifer agkistrodontis (Ichthyostraca: Pantastomida) is a parasitic pathogen, only reported in China, which can cause a zoonotic disease, pentastomiasis. A complete mitochondrial (mt) genome was 16,521 bp comprising 13 protein-coding genes (PCGs), 22 tRNA genes, 2 rRNA genes, and 1 non-coding region (NCR). A phylogenetic tree drawn with the concatenated amino acid sequences of the 6 conserved PCGs (atp6, cox1-3, and nad2) showed that A. agkistrodontis and Armillifer armillatus constituted a clade Pentastomida which was a sister group of the Branchiura. The complete mt genome sequence of A. agkistrodontis provides important genetic markers for both phylogenetic and epidemiological studies of pentastomids.
Possible role of Pax-6 in promoting breast cancer cell proliferation and tumorigenesis
( Xiang Yun Zong ),( Hong Jian Yang ),( Yang Yu ),( De Hong Zou ),( Zhi Qiang Ling ),( Xiang Ming He ),( Xu Li Meng ) 생화학분자생물학회(구 한국생화학분자생물학회) 2011 BMB Reports Vol.44 No.9
Pax 6, a member of the paired box (Pax) family, has been implicated in oncogenesis. However, its therapeutic potential has been never examined in breast cancer. To explore the role of Pax6 in breast cancer development, a lentivirus based short hairpin RNA (shRNA) delivery system was used to knockdown Pax6 expression in estrogen receptor (ER)-positive (MCF-7) and ER-negative (MDA-MB-231) breast cancer cells. Effect of Pax6 silencing on breast cancer cell proliferation and tumorigenesis was analyzed. Pax6-RNAi-lentivirus infection remarkably downregulated the expression levels of Pax6 mRNA and protein in MCF-7 and MDA-MB-231 cells. Accordingly, the cell viability, DNA synthesis, and colony formation were strongly suppressed, and the tumorigenesis in xenograft nude mice was significantly inhibited. Moreover, tumor cells were arrested at G0/G1 phase after Pax6 was knocked down. Pax6 facilitates important regulatory roles in breast cancer cell proliferation and tumor progression, and could serve as a diagnostic marker for clinical investigation. [BMB reports 2011; 44(9): 595-600]