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Generic Transgression of Tragicomedy in Anton Chekhov＇s The Seagull and George Bernard Shaw＇s The Apple Cart

Journal of Literature and Art Studies 2016年第10期6卷 1140-1148页

作者： Sadia Riaz farhan ebadat yar khan Naheed Ashfaq ICCS University Of Management and Technology Lahore Pakistan Higher Education Department Government of Punjab Lahore Pakistan 1CCS University Of Management and Technology Lahore Pakistan

This paper delves into Anton Chekhov＇s The Seagull and George Bemard Shaw＇s The Apple Cart to extensively analyze their infusion of certain comical elements in depicting ostensibly tragic concerns. The paper aims at exploring the use of the comic elements that is not without purpose. Instead through this incorporation of farce, linguistic humor, witty repartee and exaggeration, the holistic vision of life is obtained which was earlier compartmentalized by the Greeks and Roman playwrights. Comic elements including slapstick humor, the singing of songs, and certain character portrayal are discussed as techniques employed at the hands of the playwrights to reflect over the real historical milieu of their respective times, yet giving a boost to realism as a theory and a practice. This is a qualitative study based upon hermeneutic theory of textual analysis. The paper establishes the similarities in Bernard Shaw＇s and Anton Chekhov＇s employment of comical elements as well as the difference between their essential purposes in generic transgression. Although the two writers have their roots in different countries, their humorous portrayal of various issues is seen to be similar. From the microanalysis of these plays, the same comic strains can be traced out in modern drama at macro level that will enhance the implication of this research paper. This paper therefore concludes that comic and tragic elements are not antagonistic rather complimentary to each other.

关键词： tragicomedy realism modem drama farce slapstick humor generic transgression

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Modelling and Simulation of COVID-19 Outbreak Prediction Using Supervised Machine Learning

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Computers, Materials & Continua 2021年第3期66卷 2397-2407页

作者： Rachid Zagrouba Muhammad Adnan khan Atta-ur-Rahman Muhammad Aamer Saleem Muhammad Faheem Mushtaq Abdur Rehman Muhammad farhan khan Department of Computer Information System College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia Department of Computer Science Riphah International UniversityLahore CampusLahore54000Pakistan Hamdard Institute of Engineering and Technology Hamdard UniversityIslamabad44000Pakistan Department of Information Technology Khwaja Fareed University of Engineering and Information TechnologyRahim Yar Khan64200Pakistan School of Computer Science NCBA&ELahore54000Pakistan Department of Forensic Sciences University of Health SciencesLahore54000Pakistan

Novel Coronavirus-19(COVID-19)is a newer type of coronavirus that has not been formally detected in *** is established that this disease often affects people of different age groups,particularly those with body disorders,blood pressure,diabetes,heart problems,or weakened immune *** epidemic of this infection has recently had a huge impact on people around the globe with rising mortality *** levels of mortality are attributed to their transmitting behavior through physical contact between *** is extremely necessary to monitor the transmission of the infection and also to anticipate the early stages of the disease in such a way that the appropriate timing of effective precautionary measures can be *** latest global coronavirus epidemic(COVID-19)has brought new challenges to the scientific *** Intelligence(AI)-motivated methodologies may be useful in predicting the conditions,consequences,and implications of such an *** forecasts may help to monitor and prevent the spread of these *** article proposes a predictive framework incorporating Support Vector Machines(SVM)in the forecasting of a potential outbreak of *** findings indicate that the suggested system outperforms cutting-edge *** method could be used to predict the long-term spread of such an outbreak so that we can implement proactive measures in *** findings of the analyses indicate that the SVM forecasting framework outperformed the Neural Network methods in terms of accuracy and computational *** proposed SVM system model exhibits 98.88%and 96.79%result in terms of accuracy during training and validation respectively.

关键词： Coronavirus outbreak machine learning artificial intelligence

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