Maliciously false information (disinformation) can influence people's beliefs and behaviors with significant social and economic implications. In this study, we examine news articles on crowd‐sourced digital platforms for financial markets. Assembling a unique dataset of financial news articles that were investigated and prosecuted by the Securities and Exchange Commission, along with the propagation data of such articles on digital platforms and the financial performance data of the focal firm, we develop a well‐justified machine learning system to detect financial disinformation published on social media platforms. Our system design is rooted in the truth‐default theory, which argues that communication context and motive, coherence, information correspondence, propagation, and sender demeanor are major constructs to assess deceptive communication. Extensive analyses are conducted to evaluate the performance and efficacy of the proposed system. We further discuss this study's theoretical implications and its practical value.

In this paper, a synthesized algorithm for flaw classification in ultrasonic guided waves signal is presented, in which Wavelet Transform is utilized in the process of noise suppression and envelop extraction, and the Probabilistic Neural Network (PNN) is introduced for flaw classification of the ultrasonic testing signal. Besides, in the process of feature extraction, the necessity of attenuation correction and feature selection of ultrasonic signal is discussed. The comparison of the performances of PNN and BP classifier is made in the last chapter, which demonstrates that the performance of flaw classification is significantly improved by the synthesized algorithm presented in this paper.

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Under the new situation, the implementation of the "One Belt and One Road" and the "going out" strategy have enabled Shaanxi literature to produce a vigorous vitality. In 2011, the English-language overseas promotion program compiled the English version of the "Shaanxi Writer Short Film Novel Collection". In the process of introducing these literary works, the translation organization of the authorities, the translator, the translation strategy adopted by the translator, and the publisher of the translation all have an impact on the choice of words, the quality of the translation, and the distribution scope. All of these respects belong to the category of translation ethics research. Exploring these translation processes and combining them with English translation teaching to improve teaching theory research, and cultivate more practical translation talents have an important role in the development of the translation industry. Therefore, this article is guided by the translation ethics theory, through the analysis of the current situation of English translation teaching, combined with the translation ethics theory to guide translation teaching activities. Taking Gao Jianqun's "Six Six Towns" and English version as the research object, analyzing the translator's translation strategy and applying it to the translation classroom to improve the quality of translation teaching.