Bifurcation analysis of stabilization circuits in an L-band LDMOS 60-W power amplifier

n this letter, the global stability analysis of an L-band push-pull power amplifier is presented. The analysis is carried out for the amplifier operating in different modes, such as Class AB, Class B, and Class E/F, considering variations in the bias voltages, the input power and the input frequency. After determination of the oscillation mode, three different stabilization techniques are applied and compared: feedback resistors, neutralization capacitors, and odd-mode stabilization resistor. The element values of each stabilization network, ensuring a stable behavior for all the operating conditions, are calculated with a bifurcation-analysis technique. Good agreement is found between measured and simulated results

End of the World Brane meets TTˉT\bar{T}

End of the world branes in AdS have been recently used to study problems deeply connected to quantum gravity, such as black hole evaporation and holographic cosmology. With non-critical tension and Neumann boundary condition, the end of the world brane often represents part of the degrees of freedom in AdS gravity and geometrically it is only part of the entire boundary. On the other hand, holographic $T\bar{T}$ deformation can also give a boundary as a cutoff surface for AdS gravity. In this paper we consider AdS gravity with both the end of the world boundary and the cutoff boundary. Using partial reduction we obtain a brane world gravity glued to a $T\bar{T}$ deformed bath. We compute both entanglement entropy and Page curve, and find agreement between the holographic results and island formula results.Comment: 1+26 pages, 11 figure

What Chinese Medicine Can Do for Liver Cancer?

Liver cancer is an international problem, especially in Asian countries. It is because that most liver cancers are already late stage when they are diagnosed, and also most liver cancers have various previous chronic liver diseases induced by alcoholic, virus, and steatosis, etc. In recent years, laboratory and clinical studies focusing on liver cancer by Chinese medicine has been extensively studied. What Chinese medicine treatment formalities can be used in liver cancer? How Chinese medicine can be employed in treatment of liver cancer? What Chinese medicine can contribute to liver cancer? To answer these questions in this chapter, we will review and discuss treatment of liver cancer from Chinese medicine’s perspective with scientific evidences as following three parts: (1) Chinese medicine as the source of discovering new treatment for liver cancer, (2) Chinese medicine as a complementary treatment of liver cancer, and (3) to discuss future research and application of Chinese medicine in liver cancer treatment

An Approach on the Evaluation of LNG Tank Container Transportation Safety

As a clean energy source, liquefied natural gas (LNG) has been widely accepted all around the world. As away to transport LNG, tank container transportation is becoming more and more popular. However, how to carry outsafety management for the whole transportation process of tank container is a problem troubling the whole industry.Therefore, this paper proposes a model based on the Recurrent Neural Networks(RNN) to evaluate the safetyperformance. First, find the factors affecting the safety of LNG transport by sea and construct an index system. Next,design a questionnaire and get scores from supporting experts. Then, this paper utilize the trained RNN to judge the safetystatue of LNG tank transportation. Through the comparison of training results and the final score got from experts, theresult shows that the MAE is negligible and prove the effectiveness of the RNN. Finally, a case study was conducted.From the analysis of the training results, it is known that enterprise safety management plays an important role intransportation safety and a better safety management systemwill greatly reduce the probability of accidents and improvethe transportation safety

Few-shot Domain Adaptation for IMU Denoising

Different application scenarios will cause IMU to exhibit different error characteristics which will cause trouble to robot application. However, most data processing methods need to be designed for specific scenario. To solve this problem, we propose a few-shot domain adaptation method. In this work, a domain adaptation framework is considered for denoising the IMU, a reconstitution loss is designed to improve domain adaptability. In addition, in order to further improve the adaptability in the case of limited data, a few-shot training strategy is adopted. In the experiment, we quantify our method on two datasets (EuRoC and TUM-VI) and two real robots (car and quadruped robot) with three different precision IMUs. According to the experimental results, the adaptability of our framework is verified by t-SNE. In orientation results, our proposed method shows the great denoising performance