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Feng Ding,Shuwei Zhang,Houbin Chen,Hongxiang Peng,Jiang Lu,Xinhua He,Jiechun Pan 한국유전학회 2018 Genes & Genomics Vol.40 No.12
Litchi (Litchi chinensis Sonn.) is an important subtropical fruit crop with high commercial value due to its high nutritional values and favorable tastes. However, irregular bearing attributed to unstable flowering is a major ongoing problem for litchi producers. Previous studies indicate that low-temperature is a key factor in litchi floral induction. In order to reveal the genetic and molecular mechanisms underlying the reproductive process in litchi, we had analyzed the transcriptome of buds before and after low-temperature induction using RNA-seq technology. A key flower bud differentiation associated gene, a homologue of FLORICAULA/LEAFY, was identified and named LcLFY (GenBank Accession No. KF008435). The cDNA sequence of LcLFY encodes a putative protein of 388 amino acids. To gain insight into the role of LcLFY, the temporal expression level of this gene was measured by real-time RT-PCR. LcLFY was highly expressed in flower buds and its expression correlated with the floral developmental stage. Heterologous expression of LcLFY in transgenic tobacco plants induced precocious flowering. Meantime, we investigated the sub-cellular localization of LcLFY. The LcLFY-Green fluorescent protein (GFP) fusion protein was found in the nucleus. The results suggest that LcLFY plays a pivotal role as a transcription factor in controlling the transition to flowering and in the development of floral organs in litchi.
Iterative Identification Algorithms for Input Nonlinear Output Error Autoregressive Systems
Feng Ding,Junxia Ma,Weili Xiong 제어·로봇·시스템학회 2016 International Journal of Control, Automation, and Vol.14 No.1
This paper focuses on the parameter estimation problems of input nonlinear output error autoregressivesystems. Based on the key variables separation technique and the auxiliary model identification idea, the output ofthe system is expressed as a linear combination of all the system parameters, the unknown inner variables in theinformation vector are replaced with the outputs of the auxiliary model and a gradient based and a least squaresbased iterative identification algorithms are derived. Simulation example is provided to illustrate the effectivenessof the proposed algorithms.
Feng Ding,Dandan Meng,Jiyang Dai,Qishen Li,Ahmed Alsaedi,Tasawar Hayat 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.2
By means of the model equivalence theory, this paper proposes a model equivalence based least squares iterative algorithm for estimating the parameters of stochastic dynamical systems with ARMA noise. The proposed algorithm reduces the number of the unknown noise terms in the information vector and can give more accurate parameter estimates compared with the generalized extended least squares algorithm. The validity of the proposed method is evaluated through a numerical example.
Feng Ding,Lei Lv,Jian Pan,Xiangkui Wan,Xue-Bo Jin 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.4
This paper considers the parameter identification problems of controlled autoregressive systems using observation information. According to the hierarchical identification principle, we decompose the controlled autoregressive system into two subsystems by introducing two fictitious output variables. Then a two-stage gradientbased iterative algorithm is proposed by means of the iterative technique. In order to improve the performance of the tracking the time-varying parameters, we derive a two-stage multi-innovation gradient-based iterative algorithm based on the multi-innovation identification theory. Finally, an example is provided to illustrate the effectiveness of the proposed algorithms.
Human Intersectin 2 (ITSN2) binds to Eps8 protein and enhances its degradation
( Xiao Feng Ding ),( Zijian Yang ),( Fang Liang Zhou ),( Xiang Huchang ),( Zhou Chang Luo ),( Zhi Cheng He ),( Qian Liu ),( Hong Li ),( Feng Yan ),( Fang Mei Wang ),( Shuang Lin Xiang ),( Jian Zhang ) 생화학분자생물학회 (구 한국생화학분자생물학회) 2012 BMB Reports Vol.45 No.3
Participates in actin remodeling through Rac and receptor endocytosis via Rab5. Here, we used yeast two-hybrid system with Eps8 as bait to screen a human brain cDNA library. ITSN2 was identified as the novel binding factor of Eps8. The interaction between ITSN2 and Eps8 was demonstrated by the in vivo co-immunoprecipitation and colocalization assays and the in vitro GST pull-down assays. Furthermore, we mapped the interaction domains to the region between amino acids 260-306 of Eps8 and the coiled-coil domain of ITSN2. In addition, protein stability assays and immunofluorescence analysis showed ITSN2 overexpression induced the degradation of Eps8 proteins, which was markedly alleviated with the lysosome inhibitor NH4Cl treatment. Taken together, our results suggested ITSN2 interacts with Eps8 and stimulates the degradation of Eps8 proteins. [BMB reports 2012; 45(3): 183-188]
A Computer Model for Simulating the Bicycle Rider's Behavior in a Virtual Riding System
( Wei-long Ding ),( Xiao Ding ),( Kai Chen ),( Zang-xin Wan ),( Yan Xu ),( Yuan-jing Feng ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.3
People are increasingly demanding to experience realistic behavior of virtual characters in computer games. In this article, we build a computer model for simulating a bicycle rider’s behavior in a virtual riding system. A method to calculate the speed of a bicycle rider is proposed to improve the reality in a virtual riding system. In this method, the property of physical energy is introduced, and the bicycle-riding speed is calculated in real time according to the relationship between the rider’s physical energy and bicycle-riding speed. Then based on the analysis of the behavior of a cyclist in a real competition, various behaviors of the virtual rider are designed and a behavior-tree for the virtual bicycle rider is constructed accordingly. On the basis of these, a virtual riding system is developed. The experiments results show that our system can simulate the behavior of a virtual bicycle rider, and thus encourage exercise on a stationary bicycle.
Gui Wang,Ben Lin,Ding‑ding Lu,San‑xi Deng,Guang‑jun Zeng,Xu‑feng Cai,Jin‑feng Li,Dan‑yang Liu 대한금속·재료학회 2023 METALS AND MATERIALS International Vol.29 No.8
The mechanical properties and low-cycle fatigue behavior of the hot-rolled AA2195 Al-Li alloy taken along the longitudinaldirection and transverse direction were investigated. The anisotropy ductility of the alloy with the short-term naturalaging (T4-SN), long-term natural aging (T4-LN), and T6 artificial aging alloy is mainly related to the grain structure andgrain boundaries, whereas the weakened anisotropy of ductility is attributed to the appearance of PFZs. The T4-SN andT4-LN specimens present the cyclic hardening phenomenon due to the interaction of dislocations with dislocations or theGuinier–Preston zone. The cyclic softening phenomenon in T6 specimens is attributed to that the dislocations cut throughthe T1precipitates, and some dislocations bypass the non-shearable precipitates, which activates more potential slip systemsto shear the T1precipitates.
Effect of Sub-Structure and Precipitation Behavior on Mechanical Properties of Al–xCu–Li Alloys
Yu‑zhuo Li,Guang‑jun Zeng,Ding‑ding Lu,Zhen‑zhen Liu,San‑xi Deng,Peng‑cheng Ma,Yong‑lai Chen,Rui‑feng Zhang,Jin‑feng Li 대한금속·재료학회 2023 METALS AND MATERIALS International Vol.29 No.11
The tensile properties and microstructure of extruded and cold rolled 2A55 Al–Li alloys with different Cu content werestudied. After solution treatment, the strength of extruded sheets is slightly higher than that of cold rolled sheets due to strongdeformation texture and high density of substructure. However, the strength change order is different with the increase of Cucontent with T6-24 h. The extruded sample with higher Cu content have higher strength due to many dense T1precipitates. The δ′/θ′/δ′ composite precipitates and θ′ precipitates suppress the formation of T1precipitates, which cause cold rolled samplewith higher Cu content shows lower strength. Additionally, many fine T1precipitates nucleate at the sub-grain boundariesformed in the extrusion process, which have a significant effect on the mechanical property.