Glutamine synthetase (GS) is considered to be one of the oldest existing functioning genes in evolution and plays a key role in two major biochemical pathways: in liver GS catalyzes ammonia detoxification, whereas in neural tissues it also functions in recycling of the neurotransmitter glutamate. In this study, a cytosolic glutamine synthetase was cloned and characterized from the Chinese Shrimp Fenneropenaeus chinensis, and named as FcGS. The results indicated that the full-length DNA of 1,756 bp had an open reading frame without intron, which encoded a polypeptide of 366 amino acids with several conserved active site residues. The calculated molecular mass of mature protein was 40.7 kDa and theoretical pI was 6.47. A phylogenetic analysis of GS sequences showed that FcGS clustered with the invertebrate group as expected. qRT-PCR analysis indicated that FcGS was expressed in intestines, hepatopancreas, muscles and gills, and its profile was up-regulated post-WSSV challenge in hepatopancreas and gills. Our results suggested that FcGS might participate in the regulation of shrimp immune response toward WSSV invasion. These data would be helpful to better understand the WSSV resistance mechanism of farming shrimps.

Many patents have suggested that spinning aircraft wheels before landing could eliminate tyre smoke at touchdown. Most patents suggest using available wind power to rotate the wheel with wind turbines. In this paper, ANSYS CFX has been employed to simulate different wind turbines spinning a heavy aircraft wheel at approach. The aim of this research is to check the possibility of using wind power for this purpose and to optimize the wind turbine in a size acceptable in the field of aviation, in order to reach the target rotational speed.

Heavy aircraft main landing gear tyres skid immediately after touchdown as result of the high slip ratio between the tyres and runway, which lead to tyre wear and smoke. In this paper, the tyre wear is modelled on the Archard theory using ANSYS mechanical transient, to reveal the wheel’s dynamic and the tyre tread wear. The wheel’s dynamic and the amount of wear are calculated for initially static and for pre-spun wheels in order to find the effectiveness of the technique of pre-spinning the wheel, as suggested by many patents since the early days of airplane use, in order to eliminate aircraft landing wear and smoke.

An ANFIS (Adaptive neuro-fuzzy inference system) controller which bases on Takagi-Sugenos method and combines the advantages of neural controller and fuzzy multi-variable controller has been studied and developed for the real-time control of EGR and VGT in a diesel engine. In the AVL-BOOST and Matlab/Simulink co-simulation environment, the control performance of ANFIS controller has been compared with those optimal control strategies based on a fuzzy logic controller. Results show the new controller can have more active control to EGR position and the optimal emission levels can be maintained.

As a multi-resolution signal decomposition and analysis technique, the wavelet transforms have been already introduced to vibration signal processing. In this paper, a comparison on the time-scale map analysis is made between the discrete and the continuous wavelet transform. The orthogonal wavelet transform decomposes the vibration signal onto a series of orthogonal wavelet functions and the number of wavelets on one wavelet level is different from those on the other levels. Since the grids are unevenly distributed on the time-scale map, it is shown that a representation pattern of a vibration component on the map may be significantly altered or even be broken down into pieces when the signal has a shift along the time axis. On contrary, there is no such uneven distribution of grids on the continuous wavelet time-scale map, so that the representation pattern of a vibration signal component will not change its shape when the signal component shifts along the time axis. Therefore, the patterns in the continuous wavelet time-scale map are more easily recognised by human visual inspection or computerised automatic diagnosis systems. Using a Gaussian enveloped oscillation wavelet, the wavelet transform is capable of retaining the frequency meaning used in the spectral analysis, while making the interpretation of patterns on the time-scale maps easier.