Results for 'Kashif Ullah Khan'

804 found
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  1. Signaling Green: Impact of Green Product Attributes on Consumers Trust and the Mediating Role of Green Marketing.Kashif Ullah Khan, Fouzia Atlas, Muhammad Zulqarnain Arshad, Sadia Akhtar & Farhan Khan - 2022 - Frontiers in Psychology 13.
    The purpose of this research is to highlight the relationship between green product attributes and consumer trust that influence consumers’ decision to purchase green products in the context of Pakistan. This study contributes to determining quantitatively how green product attributes such as physical, perceptual, and reflexive attributes influence consumers’ trust to purchase a green product and investigates the mediating role of green marketing. Data was collected from different industrial sectors through a survey questionnaire. We employed Structural Equation Modeling using the (...)
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  2.  20
    Social Media for Knowledge Acquisition and Dissemination: The Impact of the COVID-19 Pandemic on Collaborative Learning Driven Social Media Adoption.Muhammad Naeem Khan, Muhammad Azeem Ashraf, Donald Seinen, Kashif Ullah Khan & Rizwan Ahmed Laar - 2021 - Frontiers in Psychology 12.
    During the COVID-19 outbreak, educational institutions were closed, and students worldwide were confined to their homes. In an educational environment, students depend on collaborative learning to improve their learning performance. This study aimed to increase the understanding of social media adoption among students during the COVID-19 pandemic for the purpose of CL. Social media provides a learning platform that enables students to easily communicate with their peers and subject specialists, and is conducive to students' CL. This study addresses the key (...)
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  3.  26
    A State-Dependent Impulsive Nonlinear System with Ratio-Dependent Action Threshold for Investigating the Pest-Natural Enemy Model.Ihsan Ullah Khan, Saif Ullah, Ebenezer Bonyah, Basem Al Alwan & Ahmed Alshehri - 2022 - Complexity 2022:1-18.
    Based on the Lotka–Volterra system, a pest-natural enemy model with nonlinear feedback control as well as nonlinear action threshold is introduced. The model characterizes the implementation of comprehensive prevention and control measures when the pest density reaches the nonlinear action threshold level depending on the pest density and its change rate. The mortality rate of the pest is a saturation function that strictly depends on their density while the release of natural enemies is also a nonlinear pulse term depending on (...)
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  4.  20
    An Application of Hybrid Models for Weekly Stock Market Index Prediction: Empirical Evidence from SAARC Countries.Zhang Peng, Farman Ullah Khan, Faridoon Khan, Parvez Ahmed Shaikh, Dai Yonghong, Ihsan Ullah & Farid Ullah - 2021 - Complexity 2021:1-10.
    The foremost aim of this research was to forecast the performance of three stock market indices using the multilayer perceptron, recurrent neural network, and autoregressive integrated moving average on historical data. Moreover, we compared the extrapolative abilities of a hybrid of ARIMA with MLP and RNN models, which are called ARIMA-MLP and ARIMA-RNN. Because of the complicated and noisy nature of financial data, we combine novel machine-learning techniques such as MLP and RNN with ARIMA model to predict the three stock (...)
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  5.  22
    Fake Detect: A Deep Learning Ensemble Model for Fake News Detection.Nida Aslam, Irfan Ullah Khan, Farah Salem Alotaibi, Lama Abdulaziz Aldaej & Asma Khaled Aldubaikil - 2021 - Complexity 2021:1-8.
    Pervasive usage and the development of social media networks have provided the platform for the fake news to spread fast among people. Fake news often misleads people and creates wrong society perceptions. The spread of low-quality news in social media has negatively affected individuals and society. In this study, we proposed an ensemble-based deep learning model to classify news as fake or real using LIAR dataset. Due to the nature of the dataset attributes, two deep learning models were used. For (...)
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  6.  22
    Analytical Solutions of Fractional Walter’s B Fluid with Applications.Qasem Al-Mdallal, Kashif Ali Abro & Ilyas Khan - 2018 - Complexity 2018:1-10.
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  7.  33
    AI-Enabled Sensing and Decision-Making for IoT Systems.Hao Qinxia, Shah Nazir, Ma Li, Habib Ullah Khan, Wang Lianlian & Sultan Ahmad - 2021 - Complexity 2021:1-9.
    The influential stage of Internet of Things has reformed all fields of life in general but specifically with the emergence of artificial intelligence has drawn the attention of researchers into a new paradigm of life standard. This revolution has been accepted around the globe for making life easier with the use of intelligent devices such as smart sensors, actuators, and many other devices. AI-enabled devices are more intelligent and capable of doing a specific task which saves a lot of resources (...)
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  8.  20
    Identification of Influential Nodes via Effective Distance-based Centrality Mechanism in Complex Networks.Aman Ullah, Bin Wang, Jinfang Sheng, Jun Long & Nasrullah Khan - 2021 - Complexity 2021:1-16.
    Efficient identification of influential nodes is one of the essential aspects in the field of complex networks, which has excellent theoretical and practical significance in the real world. A valuable number of approaches have been developed and deployed in these areas where just a few have used centrality measures along with their concerning deficiencies and limitations in their studies. Therefore, to resolve these challenging issues, we propose a novel effective distance-based centrality algorithm for the identification of influential nodes in concerning (...)
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  9.  16
    A Deep Neural Network-Based Approach for Sentiment Analysis of Movie Reviews.Kifayat Ullah, Anwar Rashad, Muzammil Khan, Yazeed Ghadi, Hanan Aljuaid & Zubair Nawaz - 2022 - Complexity 2022:1-9.
    The number of comments/reviews for movies is enormous and cannot be processed manually. Therefore, machine learning techniques are used to efficiently process the user’s opinion. This research work proposes a deep neural network with seven layers for movie reviews’ sentiment analysis. The model consists of an input layer called the embedding layer, which represents the dataset as a sequence of numbers called vectors, and two consecutive layers of 1D-CNN for extracting features. A global max-pooling layer is used to reduce dimensions. (...)
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  10.  56
    A Comparison of Autometrics and Penalization Techniques under Various Error Distributions: Evidence from Monte Carlo Simulation.Faridoon Khan, Amena Urooj, Kalim Ullah, Badr Alnssyan & Zahra Almaspoor - 2021 - Complexity 2021:1-8.
    This work compares Autometrics with dual penalization techniques such as minimax concave penalty and smoothly clipped absolute deviation under asymmetric error distributions such as exponential, gamma, and Frechet with varying sample sizes as well as predictors. Comprehensive simulations, based on a wide variety of scenarios, reveal that the methods considered show improved performance for increased sample size. In the case of low multicollinearity, these methods show good performance in terms of potency, but in gauge, shrinkage methods collapse, and higher gauge (...)
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  11.  23
    USAD: An Intelligent System for Slang and Abusive Text Detection in PERSO-Arabic-Scripted Urdu.Nauman Ul Haq, Mohib Ullah, Rafiullah Khan, Arshad Ahmad, Ahmad Almogren, Bashir Hayat & Bushra Shafi - 2020 - Complexity 2020:1-7.
    The use of slang, abusive, and offensive language has become common practice on social media. Even though social media companies have censorship polices for slang, abusive, vulgar, and offensive language, due to limited resources and research in the automatic detection of abusive language mechanisms other than English, this condemnable act is still practiced. This study proposes USAD, a lexicon-based intelligent framework to detect abusive and slang words in Perso-Arabic-scripted Urdu Tweets. Furthermore, due to the nonavailability of the standard dataset, we (...)
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  12.  13
    Caricature Face Photo Facial Attribute Similarity Generator.Muhammad Irfan Khan, Muhammad Kashif Hanif & Ramzan Talib - 2022 - Complexity 2022:1-14.
    Caricatures can help to understand the perception of a face. The prominent facial feature of a subject can be exaggerated, so the subject can be easily identified by humans. Recently, significant progress has been made to face detection and recognition from images. However, the matching of caricature with photographs is a difficult task. This is due to exaggerated features, representation of modalities, and different styles adopted by artists. This study proposed a cross-domain qualitative feature-based approach to match caricature with a (...)
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  13.  21
    Design and implementation of real-time object detection system based on single-shoot detector and OpenCV.Fazal Wahab, Inam Ullah, Anwar Shah, Rehan Ali Khan, Ahyoung Choi & Muhammad Shahid Anwar - 2022 - Frontiers in Psychology 13.
    Computer vision and human–computer interaction are essential in many technological fields. Researchers in CV are particularly interested in real-time object detection techniques, which have a wide range of applications, including inspection systems. In this study, we design and implement real-time object detection and recognition systems using the single-shoot detector algorithm and deep learning techniques with pre-trained models. The system can detect static and moving objects in real-time and recognize the object’s class. The primary goals of this research were to investigate (...)
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  14.  82
    Servant Leadership and Followers Prosocial Rule-Breaking: The Mediating Role of Public Service Motivation.Naqib Ullah Khan, Muhammad Zada, Asad Ullah, Afraseyab Khattak, Heesup Han, Antonio Ariza-Montes & Luis Araya Castillo - 2022 - Frontiers in Psychology 13:848531.
    This research explores the effect of servant leadership on prosocial rule-breaking (PSRB) and the mediating mechanism of public service motivation (PSM) between the association of servant leadership and PSRB. The said phenomenon is examined in the civil service context of Pakistan during the continuing crises of the COVID-19 pandemic, a situation where the traditional civil service policy and rule system has become highly complicated for passionate employees’ service performance and efficiency, and where servant leadership has received greater attention for inspiring (...)
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  15.  66
    Predicting Young Imposter Syndrome Using Ensemble Learning.Md Nafiul Alam Khan, M. Saef Ullah Miah, Md Shahjalal, Talha Bin Sarwar & Md Shahariar Rokon - 2022 - Complexity 2022:1-10.
    Background. Imposter syndrome, associated with self-doubt and fear despite clear accomplishments and competencies, is frequently detected in medical students and has a negative impact on their well-being. This study aimed to predict the students’ IS using the machine learning ensemble approach. Methods. This study was a cross-sectional design among medical students in Bangladesh. Data were collected from February to July 2020 through snowball sampling technique across medical colleges in Bangladesh. In this study, we employed three different machine learning techniques such (...)
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  16.  18
    Parallel Computing for Efficient and Intelligent Industrial Internet of Health Things: An Overview.Xin Yang, Shah Nazir, Habib Ullah Khan, Muhammad Shafiq & Neelam Mukhtar - 2021 - Complexity 2021:1-11.
    Internet of Things is expanding and evolves into all aspects of the society. Research and developments in the field of IoT have shown the possibility of producing huge volume of data and computation among different devices of the IoT. The data collected from IoT devices are transferred to a central server which can further be retrieved and accessed by the service providers for analyzing, processing, and using. Industrial Internet of Health Things is the expansion of the Internet of Health Things (...)
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  17.  51
    NN-QuPiD Attack: Neural Network-Based Privacy Quantification Model for Private Information Retrieval Protocols.Rafiullah Khan, Mohib Ullah, Atif Khan, Muhammad Irfan Uddin & Maha Al-Yahya - 2021 - Complexity 2021:1-8.
    Web search engines usually keep users’ profiles for multiple purposes, such as result ranking and relevancy, market research, and targeted advertisements. However, user web search history may contain sensitive and private information about the user, such as health condition, personal interests, and affiliations that may infringe users’ privacy since a user’s identity may be exposed and misused by third parties. Numerous techniques are available to address privacy infringement, including Private Information Retrieval protocols that use peer nodes to preserve privacy. Previously, (...)
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  18.  21
    Impact of employees’ perceived threat of market competition on unethical marketing and selling practices: Moral disengagement and ethical leadership.Salim Khan, Abdul Karim Khan, Adnan Muhammad Shah, Liaqat Ali & Rizwan Ullah - 2021 - Business Ethics, the Environment and Responsibility 30 (4):758-771.
    Business Ethics, the Environment & Responsibility, EarlyView.
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  19.  11
    The Transmission Dynamics of Hepatitis B Virus via the Fractional-Order Epidemiological Model.Tahir Khan, Zi-Shan Qian, Roman Ullah, Basem Al Alwan, Gul Zaman, Qasem M. Al-Mdallal, Youssef El Khatib & Khaled Kheder - 2021 - Complexity 2021:1-18.
    We investigate and analyze the dynamics of hepatitis B with various infection phases and multiple routes of transmission. We formulate the model and then fractionalize it using the concept of fractional calculus. For the purpose of fractionalizing, we use the Caputo–Fabrizio operator. Once we develop the model under consideration, existence and uniqueness analysis will be discussed. We use fixed point theory for the existence and uniqueness analysis. We also prove that the model under consideration possesses a bounded and positive solution. (...)
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  20.  12
    A Hybrid Deep Learning-Based Network for Photovoltaic Power Forecasting.Altaf Hussain, Zulfiqar Ahmad Khan, Tanveer Hussain, Fath U. Min Ullah, Seungmin Rho & Sung Wook Baik - 2022 - Complexity 2022:1-12.
    For efficient energy distribution, microgrids provide significant assistance to main grids and act as a bridge between the power generation and consumption. Renewable energy generation resources, particularly photovoltaics, are considered as a clean source of energy but are highly complex, volatile, and intermittent in nature making their forecasting challenging. Thus, a reliable, optimized, and a robust forecasting method deployed at MG objectifies these challenges by providing accurate renewable energy production forecasting and establishing a precise power generation and consumption matching at (...)
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  21.  24
    SiFSO: Fish Swarm Optimization-Based Technique for Efficient Community Detection in Complex Networks.Yasir Ahmad, Mohib Ullah, Rafiullah Khan, Bushra Shafi, Atif Khan, Mahdi Zareei, Abdallah Aldosary & Ehab Mahmoud Mohamed - 2020 - Complexity 2020:1-9.
    Efficient community detection in a complex network is considered an interesting issue due to its vast applications in many prevailing areas such as biology, chemistry, linguistics, social sciences, and others. There are several algorithms available for network community detection. This study proposed the Sigmoid Fish Swarm Optimization algorithm to discover efficient network communities. Our proposed algorithm uses the sigmoid function for various fish moves in a swarm, including Prey, Follow, Swarm, and Free Move, for better movement and community detection. The (...)
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  22.  11
    Acute Myeloid Leukemia (AML) Detection Using AlexNet Model.Maneela Shaheen, Rafiullah Khan, R. R. Biswal, Mohib Ullah, Atif Khan, M. Irfan Uddin, Mahdi Zareei & Abdul Waheed - 2021 - Complexity 2021:1-8.
    Acute Myeloid Leukemia is a kind of fatal blood cancer with a high death rate caused by abnormal cells’ rapid growth in the human body. The usual method to detect AML is the manual microscopic examination of the blood sample, which is tedious and time-consuming and requires a skilled medical operator for accurate detection. In this work, we proposed an AlexNet-based classification model to detect Acute Myeloid Leukemia in microscopic blood images and compared its performance with LeNet-5-based model in Precision, (...)
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  23.  36
    Personalized Movie Summarization Using Deep CNN-Assisted Facial Expression Recognition.Ijaz Ul Haq, Amin Ullah, Khan Muhammad, Mi Young Lee & Sung Wook Baik - 2019 - Complexity 2019:1-10.
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  24.  48
    Evaluation of the Economic Relationships on the Basis of Statistical Decision-Making in Complex Neutrosophic Environment.Abdul Nasir, Naeem Jan, Abdu Gumaei, Sami Ullah Khan & Mabrook Al-Rakhami - 2021 - Complexity 2021:1-18.
    Fuzzy sets and fuzzy logics are used to model events with imprecise, incomplete, and uncertain information. Researchers have developed numerous methods and techniques to cope with fuzziness or uncertainty. This research intends to introduce the novel concepts of complex neutrosophic relations and its types based on the idea of complex neutrosophic sets. In addition, these concepts are supported by suitable examples. A CNR discusses the quality of a relationship using the degree of membership, the degree of abstinence, and the degree (...)
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  25.  19
    Muslims in Telangana: A Discourse on Equity, Development, and Security.G. Sudhir, M. A. Bari, Amir Ullah Khan & Abdul Shaban (eds.) - 2021 - Springer Singapore.
    This book analyses the state of development of Muslims at the regional level. It explains the linkages between the findings of global, national, and state-level studies with regard to the current status of Muslims and broadens understanding of Muslims and their participation in virtually all major sectors, including the economy, housing, demography, health, migration, state policy, and affirmative action. The book presents the challenges faced by the community and reflects upon the socio-economic and educational conditions of Muslims in Telangana State. (...)
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  26.  11
    Unlocking the Effect of Supervisor Incivility on Work Withdrawal Behavior: Conservation of Resource Perspective.Sidra Khalid, Hammad Bin Azam Hashmi, Kashif Abbass, Bilal Ahmad, Abdul Aziz Khan Niazi & Monica Violeta Achim - 2022 - Frontiers in Psychology 13.
    Workplace incivility has gotten a lot of attention in recent decades. Researchers have looked at many forms of aggressive conduct in the workplace and their negative impacts on individuals and businesses. The goal of this study was to see how incivility among supervisors leads to work withdrawal and when this link might be mitigated. We argued that supervisor incivility indirectly influences work withdrawal behavior through job insecurity, and that emotional intelligence moderates this connection. This study attempted to evaluate the influence (...)
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  27.  14
    Epistemic (in)justice, social identity and the Black Box problem in patient care.Muneerah Khan & Cornelius Ewuoso - 2024 - Medicine, Health Care and Philosophy 27 (2):227-240.
    This manuscript draws on the moral norms arising from the nuanced accounts of epistemic (in)justice and social identity in relational autonomy to normatively assess and articulate the ethical problems associated with using AI in patient care in light of the Black Box problem. The article also describes how black-boxed AI may be used within the healthcare system. The manuscript highlights what needs to happen to align AI with the moral norms it draws on. Deeper thinking – from other backgrounds other (...)
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  28.  12
    A study of modal logic with semantics based on rough set theory.Md Aquil Khan, Ranjan & Amal Talukdar - 2024 - Journal of Applied Non-Classical Logics 34 (2):223-247.
    Volume 34, Issue 2-3, June - September 2024.
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  29.  9
    Dielectric behavior and PTCR effect in nanocrystallite PMN ferroelectric ceramics.I. Kashif, Samy A. Rahman, A. Abdelghany & R. El-Said - 2010 - Philosophical Magazine 90 (15):2115-2123.
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  30.  27
    Towards Exploration of Social in Social Internet of Vehicles Using an Agent-Based Simulation.Kashif Zia, Arshad Muhammad, Abbas Khalid, Ahmad Din & Alois Ferscha - 2019 - Complexity 2019:1-13.
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  31.  13
    Ethical Aspects of the Internet of Things in eHealth.Kashif Habib - 2014 - International Review of Information Ethics 22:83-91.
    While the current Internet has brought comforts in our lives, the future of the Internet that is the Internet of Things promises to make our daily living even much easier and convenient. The IoT presents a concept of smart world around us, where things are trying to assist and benefit people. Patient monitoring outside the hospital environment is one case for the IoT in healthcare. The healthcare system can get many benefits from the IoT such as patient monitoring with chronic (...)
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  32.  17
    Women’s Entrepreneurial Contribution to Family Income: Innovative Technologies Promote Females’ Entrepreneurship Amid COVID-19 Crisis.Taoan Ge, Jaffar Abbas, Raza Ullah, Azhar Abbas, Iqra Sadiq & Ruilian Zhang - 2022 - Frontiers in Psychology 13.
    Women entrepreneurs innovate, initiate, engage, and run business enterprises to contribute the domestic development. Women entrepreneurs think and start taking risks of operating enterprises and combine various factors involved in production to deal with the uncertain business environment. Entrepreneurship and technological innovation play a crucial role in developing the economy by creating job opportunities, improving skills, and executing new ideas. It has a significant impact on the income of the household. The study focused on investigating the role of women’s entrepreneurship (...)
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  33. Soëmbyn nuut︠s︡ ba sinergetik: tu̇vėd, mongol bichgiĭn ėkhiĭg orchuulan khavsargav.B. Boldsaĭkhan - 2005 - Ulaanbaatar: Admon. Edited by B. Batsanaa, T︠S︡ Oi︠u︡unt︠s︡ėt︠s︡ėg & T. Bulgan.
    Mostly consists of works composed in Tibetan, with translations into Mongolian, on the Soyombo script.
     
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  34.  10
    Education, from before birth to maturity.Inayat Khan - 1962 - San Bernardino, Calif.: Borgo Press.
  35.  14
    Music.Inayat Khan - 1977 - San Bernardino, Calif.: Borgo Press.
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  36.  11
    Musik: aus mystischer Sicht.Inayat Khan - 2015 - Weinstadt: Heilbronn. Edited by Christa Muckenheim & Katharina Hess.
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  37.  2
    World humanism: cross-cultural perspectives on ethical practices in organizations.Shiban Khan & Wolfgang Amann (eds.) - 2013 - Houndmills, Basingstoke, Hampshire: Palgrave-Macmillan.
    The purpose of World Humanism: Cross-cultural Perspectives on Ethical Practices in Organizations is to discover what is distinctive about humanistic management practices around the world. It examines the nature and occurrence of humanistic management practices within businesses and other organizations across the world.
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  38.  27
    Avicenna (Ibn Sina): Muslim physician and philosopher of the eleventh century.Aisha Khan - 2006 - New York: Rosen Pub. Group.
    Prince of philosophers -- The emergence of Islam -- Boy genius -- Court physician -- A traveling philosopher -- Death of an intellectual -- A lasting legacy.
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  39.  20
    Time and Fantasy in Narratives of Jihad: The Case of the Islami Jamiat-I-Tuleba in Karachi.Nichola Khan - 2010 - Human Affairs 20 (3):241-248.
    Time and Fantasy in Narratives of Jihad: The Case of the Islami Jamiat-I-Tuleba in Karachi This article proposes an analytical framework for thinking about violence in the Islami Jamiat-i-Tuleba (IJT), the student organization of Jamaat e Islami (JI), Pakistan's longstanding Islamist party. It prioritises the intersection of the psychic and the social, and the role of politics, history and biography in mediating the modalities, narration and praxis of violence in the city of Karachi. The dominant explanations tend to emphasise political (...)
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  40. Muslim rule in medieval india: Power and religion in the delhi sultanate.Kashif Iqbal - 2018 - Journal of Social Sciences and Humanities 57 (1):167-168.
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  41. Muhammad: A prophet for our time.Kashif Iqbal - 2020 - Journal of Social Sciences and Humanities 59 (2):157-158.
    Book Name MUHAMMAD: A PROPHET FOR OUR TIME Review written by Mr Kashif Iqbal.
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  42.  18
    Analysis of the Fractional-Order Delay Differential Equations by the Numerical Method.Saadia Masood, Muhammad Naeem, Roman Ullah, Saima Mustafa & Abdul Bariq - 2022 - Complexity 2022:1-14.
    In this study, we implemented a new numerical method known as the Chebyshev Pseudospectral method for solving nonlinear delay differential equations having fractional order. The fractional derivative is defined in Caputo manner. The proposed method is simple, effective, and straightforward as compared to other numerical techniques. To check the validity and accuracy of the proposed method, some illustrative examples are solved by using the present scenario. The obtained results have confirmed the greater accuracy than the modified Laguerre wavelet method, the (...)
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  43. The Nine Lives of Pakistan: Dispatches From A Divided Nation.Kashif Iqbal - 2021 - Journal of Social Sciences and Humanities 60 (1):189-192.
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  44. The policy failures of central governments during east bengal crisis, 1947-71.Kashif Iqbal - 2019 - Journal of Social Sciences and Humanities 58 (2):107-119.
    The incident of 1971 is a historical concern. Both wings of Pakistan were united at the time of the creation of Pakistan but some policies that were adopted after the creation of Pakistan were inadequate to resolve the growing differences between the both wings. Writers are divided regarding the causes of the Fall of Dhaka. Indian involvement has been highlighted frequently and it is also said that East Bengal was on the distance of 1000 km from West Pakistan. Apart from (...)
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  45.  20
    Exploring Women’s Multi-Level Career Prospects in Pakistan: Barriers, Interventions, and Outcomes.Ambreen Sarwar & Muhammad Kashif Imran - 2019 - Frontiers in Psychology 10.
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  46. Modelling and Analysis of Virotherapy of Cancer Using an Efficient Hybrid Soft Computing Procedure.M. Fawad Khan, Ebenezer Bonyah, Fahad Sameer Alshammari, Syed Muhammad Ghufran & Muhammad Sulaiman - 2022 - Complexity 2022:1-29.
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  47.  18
    Understanding the dynamic nexus between ethical leadership and employees’ innovative performance: the intermediating mechanism of social capital.Irfan Ullah, Bilal Mirza & Raja Mazhar Hameed - 2022 - Asian Journal of Business Ethics 11 (1):45-65.
    Research suggests that ethical leadership influences employees’ behavior and organizational functioning. Thus, the purpose of this study is to investigate the role of ethical leadership in the improvement of employees’ innovative performance. Specifically, this research developed and tested a framework about the intermediating mechanism of social capital in the relationship between ethical leadership and employees’ innovative performance. The current study integrated assumptions of social learning and social exchange theories, which postulate that the leadership has a direct effect on the employees’ (...)
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  48.  9
    Man's Predicament—The Unique Indian Experience and the Neoplatonic Tradition.Gopal Chandra Khan - 2002 - In Paulos Gregorios (ed.), Neoplatonism and Indian philosophy. Albany, NY: State University of New York Press. pp. 223.
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  49.  45
    Socially responsible investment: insights from Shari'a departments in Islamic financial institutions.Shakir Ullah, Dima Jamali & Ian A. Harwood - 2014 - Business Ethics 23 (2):218-233.
    Islamic financial institutions (IFIs) are emerging as prominent players in the financial world and are increasingly known for their conservative socially responsible investment (SRI). Being the Shari'a regulators and monitors of IFIs, the Shari'a departments are expected to implement the Islamic perspective of SRI – drawn from Shari'a principles – in their respective institutions. The purpose of this paper is to develop an SRI framework applicable to IFIs and other Shari'a compliant entities and assess its applicability within Shari'a departments of (...)
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  50.  25
    ‘Fatwa Repositioning’: The Hidden Struggle for Shari’a Compliance Within Islamic Financial Institutions.Shakir Ullah, Ian A. Harwood & Dima Jamali - 2018 - Journal of Business Ethics 149 (4):895-917.
    Islamic Financial Institutions have recently witnessed remarkable growth driven by their holistic business model. The key differentiator of IFIs is their Shari’a-based business proposition which often requires some financial sacrifices, e.g. being ethical, responsible and philanthropic. It also requires them to refrain from investments in tobacco, alcohol, pornography or earning interest. For IFIs’ sponsors and managers, however, the key motivational factor for entering the Islamic financial market is not the achievement of Shari’a objectives through the holistic business model, but rather (...)
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