Ribosomes are cellular machines essential for protein synthesis. The biogenesis of ribosomes is a highly complex and energy consuming process that initiates in the nucleolus. Recently, a series of ...studies applying whole-exome or whole-genome sequencing techniques have led to the discovery of ribosomal protein gene mutations in different cancer types. Mutations in ribosomal protein genes have for example been found in endometrial cancer (RPL22), T-cell acute lymphoblastic leukemia (RPL10, RPL5 and RPL11), chronic lymphocytic leukemia (RPS15), colorectal cancer (RPS20), and glioma (RPL5). Moreover, patients suffering from Diamond-Blackfan anemia, a bone marrow failure syndrome caused by mutant ribosomal proteins are also at higher risk for developing leukemia, or solid tumors. Different experimental models indicate potential mechanisms whereby ribosomal proteins may initiate cancer development. In particular, deregulation of the p53 tumor suppressor network and altered mRNA translation are mechanisms likely to be involved. We envisage that changes in expression and the occurrence of ribosomal protein gene mutations play important roles in cancer development. Ribosome biology constitutes a re-emerging vital area of basic and translational cancer research.
In a distributed spatial diversity wireless system, not all antennas are located at one station as in classical transmit diversity systems, but are dispersed at different, possibly mobile, stations ...in the network. Transmit diversity is created when the selected stations assist a sender by relaying its information signal to the destination. In this letter, we present an exact average symbol error rate analysis for the distributed spatial diversity wireless system with K amplifying relays in a Rayleigh-fading environment. The average symbol error rate formula allows us to clearly illustrate the advantage that the distributed diversity system has in overcoming the severe penalty in signal-to-noise ratio caused by Rayleigh fading. Using simple bounds on the probability of error, we show that the cooperative network presented in this letter achieves full diversity order.
Multi-Layer Perceptron Neural Network (MLP NN) is one of the most applicable tools in solving complicated problems as well as classifying between target and non-target in sonar applications. In this ...paper, we use Biogeography-based Optimization (BBO) to train the MLP NN. Due to improving the exploration ability and enhancing the diversity of the population, we propose mutation operators into BBO and call it Neighborhood Search Trainer (NST). In addition, these operators prepare more balance between exploration and exploitation ability of BBO and induce it to record best results for solving high-dimensional problems. To assess the performance of the proposed classifier, this network will be evaluated with three datasets with various sizes and complexities. The results are compared with some of the most popular meta-heuristic algorithms for verification. The simulation results show that the new classifier performs better than the other benchmark algorithms and also than original BBO in terms of avoidance trapping in local optima, classification accuracy, and convergence speed. This paper also implements the designed classifier on the FPGA substrate for testing the real-time application of the proposed method.
Analysis and design of multielement antenna systems in mobile fading channels require a model for the space-time cross correlation among the links of the underlying multiple-input multiple-output ...(MIMO) channel. In this paper, we propose a general space-time cross-correlation function for mobile frequency nonselective Rice fading MIMO channels, in which various parameters of interest such as the angle spreads at the base station and the user, the distance between the base station and the user, mean directions of the signal arrivals, array configurations, and Doppler spread are all taken into account. The new space-time cross-correlation function includes all the relevant parameters of the MIMO fading channel in a clean compact form, suitable for both mathematical analysis and numerical calculations/simulations. It also covers many known correlation models as special cases. We demonstrate the utility of the new space-time correlation model by clarifying the limitations of a widely accepted correlation model for MIMO fading channels. As another application, we quantify the impact of nonisotropic scattering around the user, on the capacity of a MIMO fading channel.
We demonstrate electrical control over coherent optical absorption in a graphene-based Salisbury screen consisting of a single layer of graphene placed in close proximity to a gold back reflector. ...The screen was designed to enhance light absorption at a target wavelength of 3.2 μm by using a 600 nm-thick, nonabsorbing silica spacer layer. An ionic gel layer placed on top of the screen was used to electrically gate the charge density in the graphene layer. Spectroscopic reflectance measurements were performed in situ as a function of gate bias. The changes in the reflectance spectra were analyzed using a Fresnel based transfer matrix model in which graphene was treated as an infinitesimally thin sheet with a conductivity given by the Kubo formula. The analysis reveals that a careful choice of the ionic gel layer thickness can lead to optical absorption enhancements of up to 5.5 times for the Salisbury screen compared to a suspended sheet of graphene. In addition to these absorption enhancements, we demonstrate very large electrically induced changes in the optical absorption of graphene of ∼3.3% per volt, the highest attained so far in a device that features an atomically thick active layer. This is attributable in part to the more effective gating achieved with the ion gel over the conventional dielectric back gates and partially by achieving a desirable coherent absorption effect linked to the presence of the thin ion gel that boosts the absorption by 40%.
Because of being imprecision and existence of uncertainty in input variables to fuzzy systems, and also their easy implementation, fuzzy controllers are introduced as one of useful optimization tools ...in industry especially in DC motors. Given to the growth of controller systems usages in industry, use of optimization methods has been noticed in the recent years; so that improve precision and performance of these systems. In addition to making improvement in their performance, real time implementation, less energy spending in comparison with other tools, having high speed in mathematical computation and decreasing hardware resources consumption are some serious challenges in this terrain. To optimize fuzzy controllers’ performance, various methods have been proposed by the researchers. This paper firstly focuses on applying improved Genetic Algorithm in regulating optimum parameters of fuzzy controller to rise convergence speed and accuracy. Secondly, a pipeline technique with specific strategies of diminishing required bit width for fuzzy controllers is provided to achieve maximum efficiency in fuzzy controller implementation. In general, it can be seen that optimized fuzzy controller in this paper has precise performance, high convergence speed and such advantages in efficient hardware implementation in comparison with other fuzzy controllers.
Nanostructured metallic films have the potential to replace metal oxide films as transparent electrodes in optoelectronic devices. An ideal transparent electrode should possess a high, broadband, and ...polarization-independent transmittance. Conventional metallic gratings and grids with wavelength-scale periodicities, however, do not have all of these qualities. Furthermore, the transmission properties of a nanostructured electrode need to be assessed in the actual dielectric environment provided by a device, where a high-index semiconductor layer can reflect a substantial fraction of the incident light. Here we propose nanostructured aluminum electrodes with space-filling fractal geometries as alternatives to gratings and grids and experimentally demonstrate their superior optoelectronic performance through integration with Si photodetectors. As shown by polarization and spectrally resolved photocurrent measurements, devices with fractal electrodes exhibit both a broadband transmission and a flat polarization response that outperforms both square grids and linear gratings. Finally, we show the benefits of adding a thin silicon nitride film to the nanostructured electrodes to further reduce reflection.
Building stone of Anahita Temple seriously suffers from weathering due to long term freezing-thawing and salt crystallization processes. This article investigates possible changes of physical and ...mechanical characteristics of this stone subjected to freeze–thaw and salt crystallization ageing tests. Fresh samples obtained from the Chelmaran quarry (the main quarry supplying for Anahita Temple stone) were tested under freeze–thaw and salt crystallization experiments. The freeze–thaw and sodium sulfate salt crystallization are suggested to be the most effective factors affecting in apparent deterioration of the stone in compare to the magnesium sulfate salt crystallization test. Significant decreases in mechanical properties of the stone were observed after freeze–thaw and salt crystallization tests. However, more mechanical losses were recorded after the salt crystallization cycles than the freeze–thaw cycles. This is probably due to crystallization pressure of salt crystals in compare to ice wedging force, which promoted more development of micro-fractures in the specimens. Probably, intrinsic factors of the stone such as frequent calcite veins and stylolites, are the main factors that control the durability of Anahita Temple stone. Preferential weakening along these features during freeze–thaw and salt crystallization cycles led to physical destruction and strength loss of the stone. Based on comparison between experimentally induced damages and field observations, reasonably freeze–thaw process is major factor in weathering of Anahita Temple stone. It should be noted that recorded 102 frozen days for the region imply high destruction potential of the stone during freeze–thaw cycles.
Objectives: To evaluate the effects of Allium cepa (A. cepa) on levels of oxidants, antioxidants, and immunological markers in bronchoalveolar lavage fluids (BALF) of sensitized rats. Materials and ...Methods: Oxidant/antioxidant markers and cytokines in BALF of control rats treated with saline (group C), ovalbumin-sensitized rats (group S), rats treated with 1.25 μg/mL dexamethasone and 3 doses of A. cepa extract (35, 70, and 140 mg/kg body weight BW/day) (S + AC) were investigated. Comparison of the results between groups was performed using analysis of variance with the Tukey-Kramer post hoc test. Results: The oxidant markers nitrogen dioxide (NO2), nitrate (NO3–), and malondialdehyde (MDA), and immunological markers interleukin (IL)-4 and immunoglobulin E (IgE) were significantly higher, but the antioxidant markers superoxide dismutase (SOD), catalase (CAT), thiol, and interferon (IFN)-γ, and the IFN-γ/IL-4 ratio were lower in sensitized rats compared to control rats (p < 0.001 to p < 0.01). Compared to group S, the levels of the following markers were significantly lower: NO2, NO3–, and IgE in groups treated with the A. cepa extract, MDA and IL-4 levels in groups treated with 70 and 140 mg/kg BW/day of the A. cepa extract, and all these markers as well as IFN-γ in rats treated with dexamethasone (p < 0.001 to p < 0.05). However, there were significantly higher levels of SOD and CAT and an increased IFN-γ/IL-4 ratio (groups treated with 70 and 140 mg/kg BW/day of the A. cepa extract), and levels of thiol and IFN-γ (group treated with 140 mg/kg BW/day of the A. cepa extract) as well as SOD, CAT, and thiol (dexamethasone-treated group) versus group S (p < 0.00 to p < 0.05). Conclusion: A. cepa showed antioxidant and immunomodulatory properties in sensitized rats.
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