This work deals with the use of adjectives in the depiction of Kashmir in Pakistani and Indian Newspapers. This study investigates the differences between Pakistani and Indian media with reference to the representation of the issue of Kashmir. For this purpose, a corpus of newspaper editorial articles from both Pakistani and Indian newspapers was compiled. The data was tagged with help of AntTag and was analyzed using AntConc software to see the differences between Pakistani and Indian newspapers with reference to the representation of Kashmir. The findings suggest that there is a lot of differences between Pakistani and Indian media with reference to the use of adjectives for the depiction of Kashmir. The findings also suggest that the depiction of Kashmir in both newspapers is biased and subjective.

The present study analyzes the problems in learning English words through words formation processes by undergraduate students. The instrument of the test was used to collect data from one hundred seventeen undergraduate students selected through non-random convenient sampling. The findings of the study suggest that students had not acquired most of the English words through word-formation processes. The words formed through conversion, backformation, compounding and acronym were acquired less in number by students than the blending and abbreviation. The results show that undergraduate students had no significant difficulty in learning English common suffixes deriving English words as compared to the non-common ones. The common, occurring prefixes and suffixes forming new words were both difficult, but the suffixes were a bit more difficult than prefixes, while the non-common occurring prefixes and suffixes forming new words were both equally difficult for students. The idiomaticity of the words makes them difficult to learn.

The present paper is the discursive interpretation of dominance and barbarity in Bronte's Wuthering Heights. The researcher's main aim of the study is to explore the issues under consideration through Critical Discourse analysis (CDA). It is the best way to address power relations and dominance. Fairclough's (1989) CDA approach is the basic tool for the analysis of any kind of discourse/text, i.e., spoken or written. CDA is suitable for the analysis of texts which deals with power relations, hegemony and dominance, as well as violence. The research examines the relationship between cognitive, textual as well as Socio-cultural levels of discourse. Fairclough's (1989) framework of CDA has been used in the current research study so as to maintain diverse methods for analyzing ideological processes and power relations in the text. Research on Heathcliff and other characters is also recommended from the perspective of feminism, stylistic or marxism

The present study, based on Van Dijk (2005) ideological square model, aims to show how the two countries, i.e., Pakistan and India, represent each other through their newspaper's discourse. Using Van Dijk's (2005) framework (positive self-presentation, negative other-presentation) for discourse analysis, this study examines linguistic features in fifty editorials of three Pakistani and three Indian English newspapers. The aforementioned model adopted from Politics, Ideology and Discourse is used to detect discursive structures within editorials and to discover the hidden ideologies. Besides, the researchers have used different discursive strategies such as actor description, euphemism, evidentiality etc., for microanalysis. Moreover, the macro analysis has been done by using the macro strategies, i.e., positive self-presentation and negative other-presentation. The study revealed that Pakistani editorials used micro strategies more than that Indians. The study also revealed that Pakistani editorials relied mostly on positive self-presentation, while Indian editorials focused on negative other-presentation.

Modernist discourses centralize feminine sensuality as an indicator of a female’s autonomy; generally, they denounce religious or traditional constraints related to its expression. In particular, liberal feminism rejects normative constraints on female sensuousness, which are argued to enforce gendered restrictions. Amid these popular considerations, there has been a remarkable increase in interest in postcolonial women’s approach to sensuality. Being perceived as sensually submissive by their faith, the question which continually surfaces is: is the sensual ethics of postcolonial women shaped by their religion? Or are they shaped by the societal considerations and values of the society they are born into? This paper addresses this question by considering the varied choices of sensual behaviour adopted by female characters in the postcolonial text, Twilight in Delhi, written by Ahmad Ali. By approaching the decadent culture of Delhi in this novel from a feminist perspective, this paper analyses the feminine sensuality of the Indian women and considers their assumptions about what counts as an appropriate choice for them within the cultural context of Indian society. This paper concludes that the sensual inhibition of these women is conditioned by the cultural bias towards the female gender that connects shame and guilt with their sensual desires in a traditional Indian society.

This study explores the relationships between positive and negative Organizational Behaviors and Workaholism; and the relationship of these OBs with productivity and gender of engineering students in Pakistan. Most of the researchers have studied OBs among faculty or administrative staff in universities. The study of these behaviors among students is a new area. An eight-stage innovative qualitative codebook thematic analysis was used to analyze semi-structured interviews from 22 faculty members to explore the relationships of OBs with productivity and gender of engineering students. A comprehensive model of relationships between OCB, DB, WA, and the productivity of engineering students has been built which was previously missing from contemporary literature. Gender has also been found to have a relationship with various behaviors. The findings here are important for practitioners and scholars for a better understanding of the relationship of OBs with the productivity of engineering students, to enhance their productivity through the promotion of desired behaviors.

The current study explores the conceptual understanding of secondary level students in mathematics. The participants were 1320 students of 10th grade and 180 students of 11th grade randomly selected from 33 public secondary and 17 higher secondary schools of Lahore. The article describes the performance of students on six grade 1-7 level questions related to numbers, number operations, and algebra. One question was knowledge level and rest five were analysis level questions. Four questions were related to Knowledge of primary level Content and Students that required participants to analyze the error or explanations related to the problem. The other two questions were related to middle school content knowledge. The questions were adapted from Hill et. al. (2004)s instrument of Study of Instructional Improvement (SII). The success rate of students was ranging from 52.8 to 63.8 % on six questions and from 22 to 73.5 % on 15 sub-questions.

The war against terrorism was started by the Bush administration after the attacks of September 11th . In this context, America attacked Afghanistan in 2001 and Iraq in 2003 alongside British forces and NATO allies. The present article explored the agenda of the British press regarding War against Terrorism in British press. The study conducted thematic analysis of two mainstream British daily newspapers i.e. The Guardian and The Independent. The standpoint of the British press was inferred to find out either they supported the government stance or they adopted a critical viewpoint regarding these two wars. The results indicated that the British press advised their government to adopt responsible approach to deal with the crisis. Mostly, the issues related to terrorism, Al-Qaeda, US policies and British role in the war against terrorism dominated the news agenda of the British newspapers. The press stressed on the strong role of UNO during the war against terrorism.

The recent trend of rural-urban migration has consumed most of the open spaces in cities leading to higher build-up to open space ratio. This has adversely affected the ecological balance and environment. This paper is about the Spatio-temporal analysis of three major cities of Pakistan to find the impacts of reduced open spaces between 2000-2015. The data was collected using Google Earth Pro and Arc-GIS. The identified open spaces were classified into six different classes of open spaces. The extracted data was also validated by point data comparison on 30 different locations through Google Earth Pro. The results depict an interesting development as a decreasing trend in open spaces for the years 2005-2010 are shown, while an increasing trend is visible between 2010-2015. Moreover, consumption of open spaces has resulted in many social and economic impacts on the community. Finally, it is recommended that strict policy measures are needed to provide adequate proposition of open spaces in cities and to safeguard the existing stock of open space available in urban areas.

Data mining is a procedure of extracting the requisite information from unprocessed records by using certain methodologies and techniques. Data having sentiments of customers is of utmost importance for managers and decision-makers who intend to monitor the progress, to maintain the quality of their products or services and to observe the latest market trends for business support. Billions of customers are using micro-blogging websites and social media for sharing their opinions about different topics on daily basis. Therefore, it has become a source of acquiring information but to identify a particular feature of a product is still an issue as the information retrieves from varied sources. We proposed a framework for data acquisition, preprocessing, feature extraction and used three supervised machine-learning algorithms for classification of customers’ sentiments. The proposed framework also tested to evaluate the system’s performance. Our proposed methodology will be helpful for researchers, service providers, and decisionmakers.