To accuse someone is to criticize them or to express the belief that they have done something wrong. Rejecting accusations involves other accusations leveled against the other party. In 2022 Russian –Ukrainian war, news agencies such as the pro-Kremlin Russian news agency Russia Today (RT) and the Cable Central Network (CNN) published an exchange of accusations about the conflict. This paper aims to find out how various news agencies express American accusations against Russia and Russian accusations against the USA linguistically. The study data include selected news headlines by various news agencies. The study identified the pragmatic devices that characterize the headlines of the selected news stories. It attempts to specify which speech act is most dominant in the selected news. It also attempts to find out what type of accusation is performed in each headline and which type is the most prominent. The data includes 10 news stories from various news agencies with focus on the headlines. The selected headlines are scrutinized in terms of the pragmatic perspective following Searle's (1969) theory of speech acts and Balmer and Brennenstuhl's (1981) accusation types. This study also tried to determine what type of accusation each headline represents depending on Bergstra and Düwell's (2023) classification. The analysis reveals that the writers of the news stories use the speech act of asserting in these headlines. The English verbs that denote the speech act of accusation in the study data are accuse, claim, etc. The English verbs that denote reaction to accusations in the selected data is condemns, etc. The speech act of accusation is an illocutionary act, namely representative. The headlines are too short to have any form of validation of the accusation. No self-accusations are expressed in the selected headlines. The headlines name the accuser and the accused in that their writers adopted a very clear style.
In this paper, estimation of system reliability of the multi-components in stress-strength model R(s,k) is considered, when the stress and strength are independent random variables and follows the Exponentiated Weibull Distribution (EWD) with known first shape parameter θ and, the second shape parameter α is unknown using different estimation methods. Comparisons among the proposed estimators through Monte Carlo simulation technique were made depend on mean squared error (MSE) criteria