VFAST - Virtual Foundation for Advancement of Science and Technology (Pakistan)
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A Refinement of Ratio Estimation in Ranked Set Sampling and Stratified Ranked Set Sampling Approaches
No full textEstimation of population mean is a persistent subject issue in sampling surveys and many discrete efforts have been paid by various researchers to enhance the precision of the estimates by utilizing the correlated auxiliary information. In connection with this an improved version of ratio estimator are presented in this paper under the ranked set sampling scheme and stratified ranked set sampling scheme. Comparison amongst estimators is made in terms of Mean Square Errors ( ) and Percentage Relative Efficiencies ( ). The expression for of the proposed estimator is pinned-down to first order of approximations. It turns out from both simulation studies as well as real data set that the proposed estimator dominates its existing counterpart estimators
Moderated Mediation of Gender and Religiosity in the Procrastination and Stress of Researchers
No full textThe main purpose of the current research is to find the moderated mediation of gender and religiosity in the procrastination and stress of researchers. The study type is quantitative and survey research design is used in the current study. All public-sector universities in province Punjab are the population of the current research. The sample of current study is six public sector general universities of province Punjab. The sampling technique used in the current study is multistage sampling. Total data form from 303 respondents is collected using three adapted instruments, i.e., Religiosity Questionnaire Akhter (2020), “Depression, Anxiety and Stress Scale” (DASS-21) Lovibond and Lovibond, (1995) and Tuckman Procrastination Scale (TPS) Tuckman (1991) in the study. A Google Form is used for the process of online data collection. The collected data is analyzed using analysis techniques of regression, mediation, moderation and moderated mediation in SPPS V.23. The findings presented that the moderated mediation of gender and religiosity in procrastination and stress is insignificant. It is recommended that universities need to arrange workshops and seminars to aware the researchers about the negative consequences of procrastination and stress and to realize the coping nature of religiosity for balancing research work and other daily routines. It is also recommended that future research other than general public universitates’ should undertake to increase the generalizability of the findings
Mian Muhammad Nazir Hussain Muhaddis Dehlawi: A Pillar of Islamic Scholarship and Hadith Revival
Get PDFThis research provides an in-depth study of the life of Mian Muhammad Nazir Hussain Muhaddis Dehlawi, who was among the most prominent Hadith scholars and distinguished scholars in India at the beginning of the fourteenth Hijri century. Thousands of prominent scholars from India and the Arab world, who have made significant efforts and services in reviving and spreading the Prophetic Sunnah in their countries in this century, were his students. They also made effective scientific contributions by authoring books explaining Hadith texts and defending the Prophetic Sunnah against its deniers. This research introduces this eminent and towering scholar and highlights the most important aspects of his personal and academic biography, then sheds light on his valuable scholarly efforts in serving the Hadith through teaching and authoring
Postcolonial Identity and Discourse: Foucauldian Analysis of Shamsie’s A God in Every Stone
Get PDFThis research article delves into the intricate interplay between postcolonial identity and discourse in Kamila Shamsie\u27s novel, "A God in Every Stone," employing a Foucauldian analytical framework This paper presents a Foucauldian analysis of Kamila Shamsie\u27s novel, "A God in Every Stone." Drawing upon the works of Michel Foucault (2016), the paper examines the novel through the lens of power, knowledge, and the construction of historical narratives. Through a close reading of key characters and events, this analysis elucidates how colonial power structures and systems of knowledge production intersect in the novel to shape individual and collective identities. The present study has been conducted on Shamsie’s A God in Every Stone to highlight the process of colonization. The interpreter has examined the ways by which the colonized resisted colonial rule. Foucault’s model of Power has been used as the conceptual framework of the study to analyze the postcolonial aspects of Shamsie’s (2014) novel. The present study is qualitative in nature. The data has been collected through the close reading technique of the A God in Every Stone. For data analysis, those textual lines have been selected in which the elements of power and resistance are present covertly. The interpreter has explored different dimensions of Foucault’s power, i.e., Sovereign power and disciplinary power. British Empire justified its colonial rule over the colonized through the colonial discourse which was prejudiced against non-white people. The colonized people resist colonial rule through their dialogues in this novel. In A God in Every Stone, the major protagonist is Vivian Rose Spencer. She is an English woman who carried out digging in Turkey to unearth the ancient silver circlet. The interpreter has inferred that the colonizers used many disciplinary strategies to subjugate the colonized people. The Indian soldiers were trained by the British imperialists to fight in the battlefield on the Western Front. Many innocent Indian soldiers lost their lives in fighting the enemies of the British Empire. The major character of the novel Qayyum Gul, fought bravely in the battlefield. Unfortunately, he lost an eye during the battle. When he returned to Peshawar, he joined a freedom movement, which aimed to liberate India from the British colonizers. Ultimately, this Foucauldian analysis of "A God in Every Stone" underscores the intricate dynamics of power and knowledge in the colonial context and sheds light on the complexities of historical representation and identity formation in a postcolonial world.
Stock Market Prediction using LSTM Model on the News and Social Media Data
Get PDFAccurately predicting future trends in stock market is essential for investors because it increases the chances of a successful investment in the market. However, making precise predictions is challenging due to stock market volatility and influence of external factors from news and social media. Although various machine and deep learning techniques have been used to predict stock markets, none of them have been evaluated for short and medium-term forecasting. Therefore, we propose time series prediction method called Long Short-Term Memory (LSTM) to forecast stock markets over the short and medium terms, utilizing data sets with external variables. The proposed model is compared with baseline models including Multilayer Perceptron (MLP), Support Vector Machine (SVM), and K-Nearest Neighbor (KNN). The external features are collected from the news and social media after preprocessing and feature engineering of the textual data. The models are then applied on historical, social media, and financial news data from HPQ, IBM, ORCL, and MSFT stock markets. The experimental results demonstrate that LSTM performs best for medium-term predictions, with maximum accuracies of 81.5% and 87.5% on social media and news data, respectively, while MLP shows best performance for short-term predictions
TVET-SCon: A Unified Catalyst Framework for Enhancing Youth Employability
Get PDFTechnical and Vocational Education and Training (TVET) plays a vital role in fostering a skilled workforce, crucial for sustainable development, poverty alleviation, and enhancing youth employability. However, the employability of TVET graduates remains a significant challenge, particularly in Pakistan, where issues such as low employability rates, skill shortages, and misalignment between industry needs and TVET outputs are prevalent. This qualitative study aims to address these challenges by introducing the TVET Skills Connect (TVET-SCon) framework—a unified catalyst designed to improve employability within the TVET ecosystem. Utilizing the Design Science Research methodology and Evolutionary Prototyping, the research involved comprehensive data collection through interviews, focus groups, and expert observations. Specifically, the study engaged 132 industry employers, 20 TVET teachers, and 326 trainees, alongside a detailed analysis of Pakistan’s TVET placement infrastructure and data systems. The research uncovers significant fragmentation within Pakistan\u27s TVET placement system, revealing communication gaps, insufficient feedback channels, outdated job listings, and difficulties in aligning trainee skills with industry requirements. Data analysis further exposes a troubling mismatch where TVET programs supply 70\% more labor than the industry requires. The TVET-SCon framework addresses these issues by integrating stakeholders across the TVET ecosystem to enhance coordination and effectiveness. Its design not only tackles the specific problems identified but also offers a flexible model that can be adapted to similar contexts in other developing countries facing related challenges. The development and evaluation of this framework represent a significant step towards improving TVET outcomes and employability on a broader scale
Congestion and Energy Aware (CEAODV) Routing Protocol for Mobile Ad Hoc Network in Disastrous Situation
Get PDFIt is pain full and difficult for government and Non-Government Organizations to handle critical situations in dense and populous areas where high rising buildings are collapsed suddenly due to natural disaster. The telecommunication services were partially or fully damaged and did not responded accordingly. To reduce the losses of public property and save the lives of disaster victims in the disaster stricken areas, mobile ad hoc network is essential for launching rescue and relief operations. The CEAODV routing protocol has been designed and implemented in NS2.35 network simulator software. CEADOV routing protocol discover routes in such critical situations and share some related emergency information. The node mobility and network congestion badly degrade the performance of the mobile ad hoc network. This study has been designed the CEAODV routing protocol, evaluated its performance and compared with existing AODV reactive routing protocols in terms of Packet Delivery Ratio, End-to-End Delay and Energy Consumption. In the proposed scenarios CEAODV maximizes Packet Delivery Ratio in Traffic Load averagely by 34% and Node Mobility Speed by 17.12%. Network reduces End-to-End Delay in Traffic Load averagely by 23.24% and Node Mobility Speed by 22.38%. The network Energy Consumption reduces in Traffic Load averagely by 14.07% and Node Mobility Speed by 17.82%. The proposed routing protocol improves overall performance of the entire network, reduces packet losses, reduces network congestion and maximizes packet delivery ratio of the network
The Concept of Contradictory Hadiths According to Allama Shabbir Ahmad Usmani (may Allah have mercy on him) in light of His Book Fath ul Mulhim Sharh Sahih Al-Imam Muslim (may Allah have mercy on him)
Get PDFThis article examines the methodology of Allamah Shabbir Ahmad Usmani(R.A) in addressing conflicting Ahadith and reconciling apparent contradictions in the Prophetic traditions, as seen in his book Fath al-Mulhim. Usmani’s approach closely aligns with the established methodology of the majority of Hadith scholars, following a structured framework. He prioritizes reconciling conflicting narrations to ensure all evidence is utilized without disregarding any part of the Sunnah. When reconciliation is not possible, he examines the possibility of abrogation by identifying the nasikh (abrogating) and mansukh (abrogated), giving precedence to the nasikh if abrogation is proven. In cases where neither reconciliation nor abrogation is possible, he resorts to preference, weighing one Hadith over the other based on its alignment with the Qur\u27an, Sunnah, or established principles of Islamic jurisprudence (qiyas).The study reveals that Allamah Usmani consistently applies this methodology, demonstrating a commitment to preserving the integrity of the Sunnah while ensuring his conclusions align with the broader objectives of Islamic law. Usmani\u27s approach reflects the traditional framework upheld by Hadith scholars and underscores the need for a systematic methodology in addressing contradictions in the Sunnah.This study highlights the continued relevance of classical Hadith methodologies in contemporary Islamic scholarship, offering a model for scholars and students to approach conflicting narrations with precision and adherence to traditional principles, ensuring accurate application of the Sunnah in various fields of Islamic knowledge
Reconstructing Memory and Identity in Beloved by Toni Morrison: Application of Trauma Theory
Get PDFThe main objective of this article is to explore, among other things, Morrison\u27s work itself, with a deep examination of trauma theory and studies in memory, because it reveals just how complex the interrelationality is between historical injustices and personal suffering. The presence of slavery reverberates through the characters in Beloved (1987) by Toni Morrison, exposing the continuous impact of historical trauma on the making of individual and collective identities. This paper microscopically looks into great detail at the characters, narrative structure, and symbolic features of the novel to work out how the aftereffects of slavery impact the psychological and emotional brinks of Sethe, Paul D, and Denver. Those fragmented, often chilling memories realized in Beloved tell another broader process—one in which society comes to terms with a troubling legacy. This paper delves into how the novel represents collective memory within the underlined African American community and how storytelling functions through the double-speak of bearing witness to trauma and a pathway toward healing. Contextualizing Morrison\u27s work within current discourse about racial injustice and trauma, this study draws light on the relevancy of Beloved, as a novel that in its time advanced social knowledge and reconciliation. The study thus paves a way for how literature on historic trauma could be engaged with to open further dialogue
A Fine Grained Sentiment Analysis of Arabic Language
Get PDFThis work focuses on fine-grained sentiment analysis of Arabic text using recent Natural Language Processing methods. Arabic is a language rich in variation, spoken by over 400 million people, yet there is a significant lack of resources for sentiment analysis. To address these challenges, this study employs AraBERT, a model specifically fine-tuned for Arabic text. A corpus of one hundred thousand Arabic reviews across categories such as hotels, books, and movies was scraped and cleaned. These reviews were then categorized into positive, negative, and mixed sentiments. AraBERT was compared with traditional machine learning methods, including Logistic Regression, Decision Tree, Naïve Bayes, and Random Forest. AraBERT achieved superior accuracy of 88\%, along with higher precision, recall, and F1 scores for both positive and negative sentiment classes compared to the other models. This work demonstrates that AraBERT effectively analyzes the syntactic and semantic structure of Arabic, making it a valuable tool for Arabic sentiment analysis across various applications. Future work will extend the model to handle neutral sentiments and include additional dialects to further improve its performance