The effect of static external magnetic field on the nonlinear absorption of the S-polarised short laser pulse in collisional underdense plasma

A new, user-friendly, linear plasma device has been developed in our laboratory where a quiescent (\(\Delta n/n \approx 1\%\)), low temperature (1–10 eV), pulsed (3–10 ms) plasma can be produced over a large uniform region of 30–40 cm diameter and 40 cm length. Salient features of the device include the flexibility of tuning the plasma density in the range of \(10^{10}\) to \(10^{12}\,\hbox {cm}^{-3}\) and capability of scanning the plasma and field parameters in two dimensions with a precision of < 1 mm. The plasma is produced by a multifilamentary cathode and external magnetic field by Helmholtz coils, both designed and constructed in-house. The plasma parameters can be measured by Langmuir probes and electromagnetic field parameters by miniature magnetic probes and Rogowski coils. The plasma produced is uniform and essentially unbounded for performing experiments on waves and turbulence. The whole device can be operated single-handedly by undergraduate or graduate students. The device can be opened, serviced, new antennas/probes installed and ready for operation in a matter of hours. Some results on the excitation of electromagnetic structures in the context of electron magnetohydrodynamics (EMHD) are also presented to demonstrate the suitability of the device for carrying out such experiments.     

Qualitative and quantitative assessment of extracted oil from Camelina sativa seed treated by dielectric-barrier discharge cold plasma

This study aimed to investigate the effects of dielectric-barrier discharge (DBD) cold plasma (CP) pretreatment on Camelina sativa “Soheil cultivar” seed. A DBD plasma reactor system was employed for this purpose. The experiments were performed by taking into account variables including voltages of 15, 18, and 21 kV and times of 2, 4, 8, and 16 min. The measured properties were oil yield extraction (%), oil colour parameters (CIEL*a*b*), protein content (meal) (%), surface analysis using Scanning Electron Microscopy (SEM), and fatty acids profile of Camelina sativa. The results revealed that the CP treatment had a significant improvement in different properties of the extracted oil. It was observed that the extracted oil was increased, with the increasing time of CP exposure. The treatments of CP enhanced the oil yield from 24.3 to 31.5%, and the optimal conditions were identified as 21 kV and 16 min. Also, the maximum protein amount was observed for the samples treated by CP (39.5%). The SEM analysis showed that the cell structures of pre-treated Camelina samples were damaged, thereby improved the oil extraction efficiency. The variations in the values of L*, a*, and b* (max-min) were calculated to be 3.9, −2.5, and 9.7, respectively, which indicated minor changes of CP treatment on the oil colour parameters. The treated samples showed considerable changes of enhancement in linolenic and linoleic acids among poly-unsaturated fatty acids; and a reduction in palmitic acid content, among saturated fatty acids.     

Hybridizing local search algorithms for global optimization

In this paper, we combine two types of local search algorithms for global optimization of continuous functions. In the literature, most of the hybrid algorithms are produced by combination of a global optimization algorithm with a local search algorithm and the local search is used to improve the solution quality, not to explore the search space to find independently the global optimum. The focus of this research is on some simple and efficient hybrid algorithms by combining the Nelder–Mead simplex (NM) variants and the bidirectional random optimization (BRO) methods for optimization of continuous functions. The NM explores the whole search space to find some promising areas and then the BRO local search is entered to exploit optimal solution as accurately as possible. Also a new strategy for shrinkage stage borrowed from differential evolution (DE) is incorporated in the NM variants. To examine the efficiency of proposed algorithms, those are evaluated by 25 benchmark functions designed for the special session on real-parameter optimization of CEC2005. A comparison study between the hybrid algorithms and some DE algorithms and non-parametric analysis of obtained results demonstrate that the proposed algorithms outperform most of other algorithms and their difference in most cases is statistically considerable. In a later part of the comparative experiments, a comparison of the proposed algorithms with some other evolutionary algorithms reported in the CEC2005 confirms a better performance of our proposed algorithms.