With the development of wireless technology, two basic wireless network models that are commonly used, known as infrastructure and wireless ad hoc networks, have been developed. In the literature, it has been observed that channel contention is one of the main reasons for packet drop in WANETs. To handle this problem, this paper presents a routing protocol named CCBR. CCBR tries to determine a least contended path between the endpoints to increase packet delivery ratio and to reduce packet delay and (...) normalized routing overhead. Moreover, throughout the active data section, each intermediate node computes its channel contention value. If an intermediate node detects an increase in channel contention, it notifies the source node. Then the source node determines another least contended route for transmission. The advantages of CCBR are verified in our NS2-based performance study, and the results show that CCBR outperforms ad hoc on-demand distance vector in terms of packet delivery ratio, end-to-end delay, and routing overhead by 4% to 9%. (shrink)

Nowadays, online product reviews have been at the heart of the product assessment process for a company and its customers. They give feedback to a company on improving product quality, planning, and monitoring its business schemes in order to increase sale and gain more profit. They are also helpful for customers to select the right products in less effort and time. Most companies make spam reviews of products in order to increase the products sales and gain more profit. Detecting spam (...) product reviews is a challenging issue in NLP. Numerous machine learning approaches have attempted to detect and classify the product reviews as spam or nonspam. However, in order to improve the classification accuracy, this study has introduced an ensemble machine learning model that combines predictions from multilayer perceptron, K-Nearest Neighbour, and Random Forest and predicts the outcome of the review as spam or real, based on the majority vote of the contributing models. In order to accomplish the task of spam review classification, the proposed ensemble and other benchmark boosting approaches are tested with 25 statistical features extracted from mobile application reviews of Yelp Dataset. Then, three different selection techniques are exploited to diminish the feature space and filter out the top 10 optimal features. The effectiveness of the proposed ensemble, the individual models, and other benchmark boosting approaches is again evaluated with 10 optimal features in terms of classification accuracy. Experimental outcomes illustrate that the proposed ensemble model outperformed the individual classifiers and state-of-the-art boosting approaches like Generalized Boost Regression Model, Extreme Gradient Boost, and AdaBoost Regression Model in terms of classification accuracy. (shrink)

Recently the World Health Organization has highlighted the need to strengthen mental health systems following emergencies, including natural and manmade disasters. Mental health services need to be informed by culturally attuned evidence that is developed through research. Therefore, there is an urgent need to establish rigorous ethical research practice to underpin the evidence-base for mental health services delivered during and following emergencies.

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, (...) we have proved that PIR protocols are vulnerable to the QuPiD Attack. In this research, we proposed NN-QuPiD Attack, an improved version of QuPiD Attack that uses an Artificial Neural Network based model to associate queries with their original users. The results show that the NN-QuPiD Attack gave 0.512 Recall with the Precision of 0.923, whereas simple QuPiD Attack gave 0.49 Recall with the Precision of 0.934 with the same data. (shrink)

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, (...) Recall, Accuracy, and Quadratic Loss. The experiments are conducted on a dataset of four thousand blood smear samples. The results show that AlexNet was able to identify 88.9% of images correctly with 87.4% precision and 98.58% accuracy, whereas LeNet-5 correctly identified 85.3% of images with 83.6% precision and 96.25% accuracy. (shrink)

Online forums have become the main source of knowledge over the Internet as data are constantly flooded into them. In most cases, a question in a web forum receives several responses, making it impossible for the question poster to obtain the most suitable answer. Thus, an important problem is how to automatically extract the most appropriate and high-quality answers in a thread. Prior studies have used different combinations of both lexical and nonlexical features to retrieve the most relevant answers from (...) discussion forums, and hence, there is no standard/general set of features that could be effectively used for relevant answer/reply post classification. However, this study proposed an answer detection model that is exclusively relying on lexical features and employs a random forest classifier for classification of answers in discussion boards. Experimental results showed that the proposed answer detection model outperformed the baseline technique and other state-of-the-art machine learning algorithms in terms of classification accuracy on benchmark forum datasets. (shrink)

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 (...) proposed SiFSO algorithm’s performance is tested against state-of-the-art particle swarm optimization algorithms in Q-modularity and normalized mutual information. The results showed that the proposed SiFSO algorithm is 0.0014% better in terms of Q-modularity and 0.1187% better in terms of NMI than the other selected algorithms. (shrink)

Seasonal outbreaks have several different periods that occur primarily during winter in temperate regions, while influenza may occur throughout the year in tropical regions, triggering outbreaks more irregularly. Similarly, dengue occurs in the star of the rainy season in early May and reaches its peak in late June. Dengue and flu brought an impact on various countries in the years 2017–2019 and streaming Twitter data reveals the status of dengue and flu outbreaks in the most affected regions. This research work (...) presents that Social Media Analysis can be used as a detector of the epidemic outbreak and to understand the sentiment of social media users regarding various diseases. Providing awareness about seasonal outbreaks through SMA is an effective approach for researchers and healthcare responders to detect the early outbreaks. The proposed model aims to find the sentiment about the disease in tweets, and the seasonal outbreaks-related tweets are classified into two classes as disease positive and disease negative. This work proposes a machine-learning-based approach to detect dengue and flu outbreaks in social media platform Twitter, using four machine learning algorithms: Random Forest, K-Nearest Neighbor, Support Vector Machine, and Decision Tree, with the help of Term Frequency and Inverse Document Frequency. For experimental analysis, two datasets are analyzed individually. The experimental results show that the RF classifier has outperformed the comparison models in terms of improved accuracy, precision, recall, F1-measure, and Receiver Operating Characteristic curve. The proposed work offers favorable performance with total precision, accuracy, recall, and F1-measure ranging from 84% to 88% for conventional machine learning techniques. (shrink)

A modern classic of Universal Sufism that explores the mystical dimensions of music-and the musical dimensions of mysticism. Music, according to Sufi teaching, is really a small expression of the overwhelming and perfect harmony of the whole universe-and that is the secret of its amazing power to move us. The Indian Sufi master Hazrat Inayat Khan (1882-1927), the first teacher to bring the Sufi mystical tradition to the West, was an accomplished musician himself. His lucid exposition of music's divine (...) nature has become a modern classic, beloved not only by those interested in Sufism but by musicians of all kinds. This newly reissued edition includes a foreword by Pir Zia Inayat Khan, Hazrat Inayat Khan's grandson and the current leader of the Inayati Order, the widespread Western Sufi organization that Hazrat Inayat Khan founded. (shrink)

The New Towns Movement began in England and later spread world-wide in response to the increasing concern felt at the deterioration of the quality of life in the large cities under the impact of industrialization. The New Towns, it was felt, would combine the advantages of life in the country with that of life in the city. They would be small communities of between 30.000 and 60.000 inhabitants. Their principal characteristics were to be a balanced economy and a well-defined pattern (...) of industrial, commercial and residential zones. (shrink)

We show that the U.S. anti-discriminatory laws prohibiting discrimination in the workplace based on sexual orientation and gender identity identities) spur innovation, which ultimately leads to higher firm performance. We use the Human Rights Campaign’s Corporate Equality Index of 398 U.S. firms between 2011 and 2014, and find a significantly positive relationship between CEI and firm innovation. We also find that an interacting effect of CEI and firm innovation leads to higher firm performance. We use our understanding of Rawls’ Theory (...) of Justice and stakeholder theory to show that firms with workplace diversity policies are likely to be more innovative and perform better than those without such policies. Our results are robust to endogeneity, reverse causality and simultaneity issues. Our results will trigger debate in similar markets around the globe on the economic benefits of LGBT workplace diversity policies for firms. (shrink)

Iqbāl kī shāʻirī meṉ falsafah-yi ḵẖvudī.

This study sheds light on strategies for retaining skilled pharmacists in Pakistan's pharmaceutical sector, offering valuable insights for both academia and industry stakeholders by investigating the impact of human resource management practices, including training and development, compensation and rewards, job performance, and job satisfaction, on employee retention. It also examines the moderating role of career growth in this context. Theoretical foundations are grounded in international migration theories and social exchange theory, providing a comprehensive framework for the study. A cross-sectional survey (...) design was used to collect data from 254 pharmacists in southern Punjab, Pakistan. Structural equation modeling (SEM) was employed for data analysis. Findings reveal that training and development, compensation and rewards, job performance, and job satisfaction all have significant direct effects on employee retention. Additionally, career growth acts as a crucial moderator, strengthening the relationship between training and development and job performance, as well as compensation and rewards and job satisfaction in relation to employee retention. Theoretical implications emphasize the importance of tailored training programs, fair compensation practices, and career growth opportunities. Practical recommendations include creating a positive work environment, rewarding high-performing employees, and fostering career development. Future research directions encompass longitudinal studies, the influence of organizational culture and technology, regional variations, and additional factors affecting retention. (shrink)

This work is an exposition of Salighed, a concept at the heart of Kierkegaard's thought, and the dialectical starting point for his reflections on what it means to live a genuinely human life. Kierkegaard studies to date appear to have underestimated the importance of the word and the concepts that lie behind it—perhaps because the word appears easily translated into the English forms of "eternal happiness" or "blessedness." This, suggests Khan, does little justice to the concepts behind the word, (...) and does even less justice to the relationships of the concept of Salighed to other concepts crucial to Kierkegaard's thought. Khan's approach to this word/concept study has been greatly augmented by his use of the computer in analyzing word-relatedness, context, and frequency of occurrence, both within individual works and in comparing one work with a context of the Kierkegaard corpus. The volume will, of course, be of interest to students of Kierkegaard. It will also be of interest to those scholars intrigued by the possibilities of using computers in linguistic research and in literary studies. (shrink)

In an attempt to re-envision economics, the paper analyses Robert Heilbroner’s philosophy of economics through the lens of Max Weber’s philosophy of science. Specifically, Heilbroner’s position on vision, ideology and value-freedom is examined by contextualising it within a framework of … More ›.

Arsalan Khan offers an ethnography of the normative vision that drives Pakistani Muslim men from diverse social and economic backgrounds to participate in a transnational Islamic piety movement: Tablighi Jamaat. Khan examines how Tablighis constitute the domain of religion in ritual and semiotic practice, how they place an ethical commitment to hierarchy at the heart of religion, and how this, in turn, becomes the basis for restructuring domestic and political life.

The question of the development of aesthetic perception in relation to works of art and phenomena of nature suggests a differentiation between aesthetic education and art education which will be attempted in this study. At the same time the necessary interrelationship between the two will also be analysed.

When the Taliban destroyed the famous statues of the Buddha in the Bamiyan Valley in Afghanistan more than a decade ago, the outrage of the global community, including that of prominent Muslim religious leaders, was matched perhaps only by the pious euphoria of Afghanistan’s hardliners. They had finally succeeded in removing visible signs of idolatry from their landscape, and fulfilled, at least in their own eyes, a long overdue religious mission. In the words of the Taliban leader Mullah Omar, “Muslims (...) should be proud to destroy idols. Our destroying them was an act of praise for God.”1Yet such extreme acts of puritanical iconoclasm at the hands of Muslim fundamentalists, at least within modern history, have more.. (shrink)

The doctrine of sunyata, or emptiness, is the cornerstone of Buddhist metaphysics. This article explores the doctrine as elaborated by Nagarjuna, as it developed in Mahayana Buddhism and extended into Chinese Hua-Yen teachings. It is the key to understanding the relationship between the discontinuous and continuous aspects of reality, the inter-penetration and identity of “emptiness” and phenomena, the cosmic permeation of Buddhahood, and the role of the Bodhisattva.

The article examines the nature of tawba, usually translated as ‘repentance’, in the thought of Abū Țālib al-Makkī . Makkī’s most comprehensive discussion of this topic appears in the thirty-second chapter of his Qūt al-qulūb , one of the most widely reads works of the early Sufi tradition. It is the longest single sustained treatment of tawba, written from the perspective of Sufi spiritual psychology, currently available to us from the first four centuries of Islam. By drawing on Revelation as (...) well as the earlier Sufi tradition he is heir to, Makkī delineates certain conditions which have to be met in order for tawba to be sound. The article explores Makkī’s treatment of these conditions as well as their relation to notions of tawba in the broader Islamic tradition. (shrink)

The article presents an analysis of Ibn al-ʿArabī’s treatment of fasting and hunger as it appears in chapters 106 and 107 of al-­Futūḥāt al-­makkiyya. In the process of examining this very short section of the encyclopedic text, the essay both draws out the deeper theological significance of hunger and fasting and highlights the virtues and trappings of the spiritual exercise in the mystic’s thought. An attempt is also made to situate some of Ibn al-ʿArabī’s ideas within the broader context of (...) the earlier Sufi tradition to which he was heir. (shrink)

On November 2019, the world commemorated the 30th anniversary of the United Nations’ Convention on the Rights of the Child. The UNCRC noted that “the press and other media have essential fu...

Generally toxic employees are under performers, yet some get better salaries and excel at workplace, getting positioned at higher ranks. This research assesses the relationship between the dark triad (Narcissism, Machiavellianism, and Psychopathy) and perceived victimization with a focus on the mediating effect of abusive supervision and the moderating effect of mindfulness. The data were gathered in three waves. Both the structural equation model with partial least square and Process were used to analyze the data. The study findings suggest that (...) abusive supervision plays a mediating role in the association between the dark triad and perceived victimization. However, the results did not support the mediating role of abusive supervision in the association between narcissism and perceived victimization. Moreover, the findings suggest that mindfulness weakens the effect of abusive supervision on perceived victimization. Furthermore, our findings support the mediated-moderation model. Theoretical and practical implications of the results are also discussed. (shrink)

Existing work in the field of business ethics has explored how concepts in philosophy and other disciplines can be applied to blame at work, and considers blame’s potential impact on organisations and their employees. However, there is little empirical evidence of organisational blaming practices and their effects. This article presents an analysis of interviews with twenty-seven employees from a range of occupations, exploring their experience of blame, its rationale and impact. A diversity of blaming practices and perspectives is revealed, and (...) in making sense of these the authors draw on recent theoretical developments—Skarlicki, Kay, Aquino, and Fushtey’s concept of ‘swift-blame,’ and Fricker’s notion of ‘communicative blame.’ The study also reveals a tension between a desire to avoid ‘blaming’ on the one hand, and a need for ‘accountability,’ on the other, and the authors explore the implications of the findings for organisations in seeking to ‘manage’ blame. (shrink)

Mostly consists of works composed in Tibetan, with translations into Mongolian, on the Soyombo script.

This paper examines the effect of state-level culture in the US on the adoption of firms’ workplace diversity policies. Using firm-level panel data over the period 2011–2014, we document that firms in highly individualistic states are less likely to adopt workplace diversity policies, which in turn negatively affects firm performance. Our results are robust to alternative variables and econometric specifications. Our findings provide insights into the contemporary debate on the economic aspects of workplace diversity policies for firms operating in different (...) cultural backgrounds. (shrink)

Within the Ideological Surround Model of the social sciences and religion, so-called “universal” perspectives within the psychology of religion can dialogically clarify and be clarified by the “particular” elements of Muslim commitment. This study developed new scales for operationalizing the experience and behavior of Pakistani Muslims during Ramadan. In a sample of university students, one set of experiential factors apparently facilitated, whereas another interfered with the practices of Ramadan. Intrinsic and Extrinsic Personal Religious Orientations correlated with greater and the Extrinsic (...) Social motivation with lower levels of involvement in Ramadan. Relative to these religious orientation measures, Ramadan experience scales displayed incremental validity by explaining additional variance in Ramadan behavior. Women proved to be more religious than men. At the most general level, these data further supported the dialogic assumptions of the Ideological Surround Model of research in the psychology of religion. (shrink)

In step with rapid advancements in computer vision, vehicle classification demonstrates a considerable potential to reshape intelligent transportation systems. In the last couple of decades, image processing and pattern recognition-based vehicle classification systems have been used to improve the effectiveness of automated highway toll collection and traffic monitoring systems. However, these methods are trained on limited handcrafted features extracted from small datasets, which do not cater the real-time road traffic conditions. Deep learning-based classification systems have been proposed to incorporate the (...) above-mentioned issues in traditional methods. However, convolutional neural networks require piles of data including noise, weather, and illumination factors to ensure robustness in real-time applications. Moreover, there is no generalized dataset available to validate the efficacy of vehicle classification systems. To overcome these issues, we propose a convolutional neural network-based vehicle classification system to improve robustness of vehicle classification in real-time applications. We present a vehicle dataset comprising of 10,000 images categorized into six-common vehicle classes considering adverse illuminous conditions to achieve robustness in real-time vehicle classification systems. Initially, pretrained AlexNet, GoogleNet, Inception-v3, VGG, and ResNet are fine-tuned on self-constructed vehicle dataset to evaluate their performance in terms of accuracy and convergence. Based on better performance, ResNet architecture is further improved by adding a new classification block in the network. To ensure generalization, we fine-tuned the network on the public VeRi dataset containing 50,000 images, which have been categorized into six vehicle classes. Finally, a comparison study has been carried out between the proposed and existing vehicle classification methods to evaluate the effectiveness of the proposed vehicle classification system. Consequently, our proposed system achieved 99.68%, 99.65%, and 99.56% accuracy, precision, and F1-score on our self-constructed dataset. (shrink)

With the increase in market competition and dynamic work environment, work overload seems to have become a common issue suffered by almost every employee. Overload usually results in not only poor health conditions but also mental circumstances. These problems then become a threat to the organizations in the form of poor performance and lack of ability to reach standards. Workplace spirituality is one way to deal with stressful overload conditions. This research deals with the study of moderating affects of workplace (...) spirituality on job overload and employee’s satisfaction relationship. Having large piles of work in given targeted time results in employees becoming stressed out from their work as well as their organization. The motive of their job becomes to achieve targets and diminish the creativity within the employees. Workplace spirituality basic dimensions mentioned in this research help one achieve these targets and help employees cope with the symptoms caused by work overload. The research includes three variables, workplace spirituality, job overload, and job satisfaction. The samples of 76 respondents were asked to fill the questionnaire on all the three variables. The final results show interestingly different results then, as conceptualized according to theory. Workplace spirituality also showed to have quite an impact on job satisfaction. (shrink)

Drawing insight from affective events theory, this study presents a new dimension of perceived organizational politics and job attitudes. The motivation for this study was based on the fact that perceived organizational politics affect job attitudes and that personal resources moderate the direct relationship between perceived organizational politics and job attitudes in the context of the higher-education sector. In this regard, the data was collected through purposive sampling from 310 faculty members from higher-education institutions in Pakistan. To test the relationships (...) among the variables, we employed structural equation modeling via the AMOS software version 24.0. The results indicated that perceived organizational politics were significantly negatively related to job satisfaction. Moreover, perceived organizational politics were non-significantly related to job involvement. Political skill and work ethic weakened the relationship between perceived organizational politics and job satisfaction. We anticipated that these personal resources could mitigate the negative effect of perceived organizational politics and job attitudes. This study also suggests organizations to train their employees to develop essential personal skills. (shrink)