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The graphical technique for nonlinear circuits was described that enable us to optimize circuits to obtain maximum output power, maximum efficiency or minimum intermodulation. According to this method a high power amplifier in the Ka band was designed. Using a nonlinear model of the transistor, optimum slope for load-line was determined so that maximum power at the output was obtainable, then the output matching circuit was synthesized. Finally, the nonlinear network of the high power amplifier was analyzed by the harmonic balance method and the output load cycles were optimized by modification of the bias point or output matching network.

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 ABSTRACT
Aims: Epithelial to mesenchymal transition (EMT) is an essential step in the developmental process, wound healing and cancer progression. In many cancers, EMT can increase aggressive properties including invasion, metastasis and Tumor resistance to apoptosis. Recently, miRNAs as a new class of non-coding RNAs that post-transcriptionally regulate gene expression have been demonstrated to have a crucial role in the regulation of EMT. However, the detailed mechanisms of miRNAs involvement in EMT in human cancer cells are still unclear. This study aimed to clarify this issue by using bioinformatics tools for predicting competent miRNAs target the main gens in EMT.
Materials and Methods:  To ascertain an effective miRNA for the EMT, we assessed five genes from EMT/MET as key genes. Then, to predict the most suitable miRNA: target interactions, different online databases including DIANA, TargetScan, and miRSystem were applied.
Results: Possible targeting effects of different miRNAs on candidate genes were analyzed. Merging data from databases has shown that 11 miRNAs with strong possibility communally can be involved in EMT/MET.
Conclusion: To conclude, it can be predicted that according to high interaction scores of these elected miRNAs with candidate genes in the above-mentioned databases, these miRNAs probably can have critical roles in EMT/MET. Hence, these miRNAs can be introduced as appropriate candidates for future investigations.

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Gastric cancer is one of the most common cancers in the world. Its treatments are costly and can cause severe side effects. As a result, treatments with natural compounds, well-established therapeutics, or combinations of both groups may be effective alternatives. p-Coumaric acid (pCA) and metformin (Met) are among such anticancer treatments. Epithelial-mesenchymal transition (EMT) is a multi-purpose process that plays a critical role in gastric cancer. This process involves a complex network of biological markers participating in gastric cancer initiation and metastasis. Subsequently, the agents downregulating the expression of EMT markers may be potential anti-gastric cancer therapeutics. Because the effects of pCA, Met, and their combination on the expression of EMT markers ZEB1, Snail2, Vimentin, and VEGFA have not been inspected, the present study aimed at assessing these effects. MTT assay determined the cytotoxicity of pCA and Met on the AGS cells for 48 hours. Real-time PCR was used to evaluate the changes in the expression levels of these EMT genes after 48 hours. A combination of pCA and Met downregulated the expression of ZEB1 and Vimentin genes at low, non-cytotoxic concentrations. Therefore, they may be potential candidates for further investigations in fighting against gastric cancer.
 

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This paper investigates the Tri-Tilt Rotor VTOL UAV. The aim of this study is to represent a comprehensive dynamic model, eleven degree of freedom at six flight phases (hover, descend, climb, forward, transient and cruise) and control the vehicle to reach best flight condition. For this purpose, the vehicle equations of motion are derived in tensor form and have been expanded in the coordinate systems, based on multi-body (vehicle and three electric motors) modeling approach in order to consideration of motors gyroscope effects on flight dynamic. Depending on vehicle flight phase, propulsion and aerodynamic forces and moments are determined separately. Blade Element Momentum Theory (BEMT) is used to obtain motors propulsion forces and moments at hover, descend, climb and forward phases. After that, with utilizing of controller for each channel flight, the trim condition is calculated and then for the sake of linearization using analytical method, dynamic and control matrixes are derived. This calculated model is qualified as linear model in order to design the model predictive and adaptive controller. For climb phase, as the nonlinear model receding from linear model, the linear model predictive controller performance was diminishing whereas the function of model reference adaptive control in spite of the uncertainties was better.