Graph theory is one of those subjects that is a vital part of the digital world. It is used to monitor the movement of robots on a network, to debug computer networks, to develop algorithms, and to analyze the structural properties of chemical structures, among other things. It is also useful in airplane scheduling and the study of diffusion mechanisms. The parameters computed in this article are very useful in pattern recognition and image processing. A number d f, w = (...) min d w, t, d w, s is referred as distance between f = t s an edge and w a vertex. d w, f 1 ≠ d w, f 2 implies that two edges f 1, f 2 ∈ E are resolved by node w ∈ V. A set of nodes A is referred to as an edge metric generator if every two links/edges of Γ are resolved by some nodes of A and least cardinality of such sets is termed as edge metric dimension, e dim Γ for a graph Γ. A set B of some nodes of Γ is a mixed metric generator if any two members of V ∪ E are resolved by some members of B. Such a set B with least cardinality is termed as mixed metric dimension, m dim Γ. In this paper, the metric dimension, edge metric dimension, and mixed metric dimension of dragon graph T n, m, line graph of dragon graph L T n, m, paraline graph of dragon graph L S T n, m, and line graph of line graph of dragon graph L L T n, m have been computed. It is shown that these parameters are constant, and a comparative analysis is also given for the said families of graphs. (shrink)

The connected and acyclic components contained in a network are identified by the computation of its complexity, where complexity of a network refers to the total number of spanning trees present within. The article in hand deals with the enumeration of the complexity of various networks’ operations such as sum, product, difference K 2, n ⊖ K 2, and the conjunction of S n with K 2. All our computations have been concluded by implementation of the methods of linear algebra (...) and matrix theory. Our derivations will also be highlighted with the assistance of 3D plots at the end of this article. (shrink)

This communique presents the Q-S synchronization of two nonidentical complex nonlinear hyperchaotic systems with unknown parameters. An adaptive controller based on adaptive integral sliding mode control and parameter update laws are designed to realize the synchronization and parameter identification to a given map vector. The aforementioned strategy’s employment demands the transformation of a system into a specific structure containing a nominal part and some unknown terms. An integral sliding mode controller is used to stabilize the error system by designing nominal (...) control accompanied by compensator control. For chattering suppression, a continuous compensator of smooth nature is used instead of conventional control. The stability of the proposed algorithm is established in an impressive way, using Lyapunov criteria. A numerical simulation is performed to illustrate the validity of the proposed synchronization scheme. (shrink)

Reviewer: Ramizah Wan Muhammad, Associate Professor, Departmentof Islamic Law, Ahmad Ibrahim Kulliyyah of Laws, InternationalIslamic University Malaysia. Email: [email protected].

This article discusses the extension of ViewGen, an algorithm derived for belief ascription, to the areas of intensional object identification and metaphor. ViewGen represents the beliefs of agents as explicit, partitioned proposition sets known as environments. Environments are convenient, even essential, for addressing important pragmatic issues of reasoning. The article concentrates on showing that the transformation of information in metaphors, intensional object identification, and ordinary, nonmetaphorical belief ascription can all be seen as different manifestations of a single environment-amalgamation process. The (...) article also briefly discusses the extension of ViewGen to speech-act processing and the addition of a heuristic-based relevance-determination procedure, and justifies the partitioning approach to belief ascription. (shrink)

This article links three rarely considered dimensions related to the implementation of artificial intelligence (AI)-based technologies in the form of predictive policing and discusses them in relation to liberal democratic societies. The three dimensions are the theoretical embedding and the workings of AI within anomic conditions (1), potential normative disorders emerging from them in the form of thinking errors and discriminatory practices (2) as well as the consequences of these disorders on the psychosocial, and emotional level (3). Against this background, (...) AI-induced anomie is conceptualized as a field of tension that refers to a systematic deterioration of democratic norms that are supposed to create ‘normative orders’, but which, when implemented through AI-supported measures, can reproduce existing discriminations, and establish new kinds of discriminatory relations. In future, these AI-based measures have the potential to lead to opposing normative disorders by emerging in the form of false social norms to an equally false Second Nature. They deprive persons involved of the possibility of individual appropriation of social norms and the specific emotional development associated with it. (shrink)

The article argues that a critical encounter with pre-modern literatures from the national past is long overdue under the impact of a globalized discourse of sexuality. Its effects are already felt at the level of both pedagogy and literary reading, one reconstituting the other, in the ‘global classroom’, a self-conscious pedagogical space imagined by the new educational policy to bring about a globally accredited cultural homogeneity. The case study comes from teaching erotic poetry at an Indian university, from the joint (...) literary complex of Hindi and Urdu in South Asia, a theme uncomfortably located in national culture not just because of its sexuality but its association with non-national linguistic elements which the article terms ‘Indo-Islamic’. The overlapping of the sexual modern with the Indo-Islamic resurfaces a tension in the nationalized body of literary writing in Hindi/Urdu, the major ‘national’ languages of South Asia. This encounter of erotic poetry in old Hindi and Urdu with globalized sexuality, the article shows, offers a chance to reflect on how literary studies are being reshaped by the assumptions of a monolingual, monocultural global sexuality in our nationalist times. (shrink)

We examined the direct and indirect (via relational social capital) relationship between ethical leadership and knowledge hiding. We also tested the moderating role of instrumental thinking in the relationship between ethical leadership and knowledge hiding and the relationship between ethical leadership and relational social capital. Data were collected from 245 employees in different firms spanning different manufacturing and service sectors. The results showed that ethical leadership was negatively related to knowledge hiding, both directly and via relational social capital. The results (...) revealed that instrumental thinking moderated the positive relationship between ethical leadership and relational social capital, such that the relationship was weak when instrumental thinking was high. The results also showed that instrumental thinking moderated both direct and indirect relationships between ethical leadership and knowledge hiding, such that the relationships were weak when instrumental thinking was high. The study carries important practical implications for managers concerned about the destructive consequences of knowledge hiding. (shrink)

Mankind is faced with a number of serious problems that demand an effective solution. The prevalence of injustice and the frequency of financial crises are two of the most serious of these problems. Consisting of an in-depth introduction along with a selection of eight of Muhammad Umer Chapra's essays--four on Islamic economics and four on Islamic finance--this timely book raises the question of what can be done to not only minimize the frequency and severity of the financial crises, but (...) also make the financial system more equitable. The author considers the origins of Islamic economics and outlines its development and underlying principles. He compares the approach taken to ethics and economics in Islam with that taken in the West, considering whether lessons can be applied to the global financial architecture in order to mitigate against financial crises. The book also examines the case against interest and looks at both innovation in Islamic finance, as well as challenges facing the industry. Written by a leading authority in the field, this book will be a stimulating resource for students and researchers in Islamic economics and finance, as well as providing valuable insight to all of those with an interest in financial systems and their interaction with society. (shrink)

An iterative learning robust fault-tolerant control algorithm is proposed for a class of uncertain discrete systems with repeated action with nonlinear and actuator faults. First, by defining an actuator fault coefficient matrix, we convert the iterative learning control system into an equivalent unknown nonlinear repetitive process model. Then, based on the mixed Lyapunov function approach, we describe the stability of the nonlinear repetitive mechanism on time and trial indices and have appropriate conditions for the repeated control system’s stability in terms (...) of linear matrix inequality theory. Through LMI techniques, we have obtained satisfactory results and controller stability, and robustness against fault tolerance is also discussed in detail. Finally, the simulation results of the output tracking control of the two exemplary models verify the effectiveness of the proposed algorithm. (shrink)

Data analytics, machine intelligence, and other cognitive algorithms have been employed in predicting various types of diseases in health care. The revolution of artificial neural networks in the medical discipline emerged for data-driven applications, particularly in the healthcare domain. It ranges from diagnosis of various diseases, medical image processing, decision support system, and disease prediction. The intention of conducting the research is to ascertain the impact of parameters on diabetes data to predict whether a particular patient has a disease or (...) not. This paper develops an improved ANN model trained using an artificial backpropagation scaled conjugate gradient neural network algorithm to predict diabetes effectively. For validating the performance of the proposed model, we conduct a large set of experiments on a Pima Indian Diabetes dataset using accuracy and mean squared error as evaluation metrics. We use different number of neurons in the hidden layer, ranging from 5 to 50, to train the ANN models. The experimental results show that the ABP-SCGNN model, containing 20 neurons, attains 93% accuracy on the validation set, which is higher than using the other ANNs models. This result confirms the model’s effectiveness and efficiency in predicting diabetes disease from the required data attributes. (shrink)

This study investigates the significance of understanding police perspectives on community policing as a means of addressing insecurity, particularly within the context of localised and asymmetrical conflicts. It highlights the pivotal role of the police in shaping community security and the substantial impact they can have (positive or negative) in fragile environments. The study contends that the localised nature of the community policing effectively addresses security and development issues and empowering citizens. Qualitative interviews were conducted with senior police in Islamabad, (...) to assess the implementation and potential impacts of community policing in Pakistan’s Federal Capital Territory. The findings reveal how the historical foundations of police structures and operations – which date back to the colonial period – have led to the promotion of fear, mistrust and manipulation under successive regimes. Despite these challenges, the findings are promising highlighting enhanced human security through context-specific community policing. Finally, the paper argues that the movement towards community-oriented policing marks a departure from the control of elites within state systems, and encourages values such as local ownership, social cohesion, mutual engagement, accountability and agency. These developments have profound implications for global security and justice. (shrink)

This study analyzed and explored the cognitive load of Australian energy market operators managing one of the longest inter-connected electrical networks in the world. Each operator uses a workstation with seven screens in an active control room environment, with a large coordination screen to show information and enable collaboration between different control centers. Cognitive load was assessed during both training scenarios and regular control room operations via the integration of subjective and physiological measures. Eye-tracking glasses were also used to analyze (...) the operators gaze behavior. Our results indicate that different events, different participants for the same session, and different periods of one session all have varying degrees of cognitive load. The system design was observed to be inefficient in some situations and to have an adverse affect on cognitive load. In critical situations for instance, operator collaboration was high and the coordination screen was used heavily when collaborating between two control centers, yet integration with the system could be improved. Eye tracking data analysis showed that the layout of applications across the seven screens was not optimal for many tasks. Improved layout strategies, potential combination of applications, redesigning of certain applications, and linked views are all recommended for further exploration in addition to improved integration of procedures and linking alarms to visual cues. (shrink)

Topological indices are of incredible significance in the field of graph theory. Convex polytopes play a significant role both in various branches of mathematics and also in applied areas, most notably in linear programming. We have calculated some topological indices such as atom-bond connectivity index, geometric arithmetic index, K-Banhatti indices, and K-hyper-Banhatti indices and modified K-Banhatti indices from some families of convex polytopes through M-polynomials. The M-polynomials of the graphs provide us with a great help to calculate the topological indices (...) of different structures. (shrink)

With the growing call for private sector actors to address global challenges, it is necessary to first assess whether regions with the greatest needs are accessing corporate philanthropy. In this paper, we ask whether corporate philanthropy is reaching those with the greatest health-care needs. Drawing on economic geography and corporate homophily, we argue that corporate philanthropy tends to exacerbate health inequality as grants are destined for counties with fewer health problems. We test and find support for this hypothesis using data (...) on health grants made by US corporate foundations and county-level health data. Our results that corporate health grants are less likely to go to counties which have a lower proportion of medical service providers and insured citizens suggest that corporate foundations are unwittingly complicit in worsening the resource gap between small, poor, rural counties and large, wealthy, urban counties. From an ethical perspective, we provide some guidance as to how this may be corrected. (shrink)

While previous studies have examined the impact of informal institutions to determine entrepreneurial activities, this paper explores the different configurational paths of informal institutions to promote men’s and women’s entrepreneurial activities across factor-driven and efficiency-driven economies. We collected data from the Global Entrepreneurship Monitor for 56 countries for the years 2008-2013 and employed fuzzy-set qualitative comparative analysis to conduct the empirical analysis. The results confirm that a single antecedent condition is unable to produce an outcome while combination of different conditions (...) can produce an outcome. We find that cultural-cognitive institutional antecedents in combination with social-normative antecedents create configurations of conditions that lead to the higher levels of men’s and women’s entrepreneurial activities in factor-driven and efficiency-driven economies. Moreover, this study shows that these causal conditions configure differently to promote men’s and women’s entrepreneurial activities in factor-driven and efficiency-driven nations. This paper may create awareness in potential entrepreneurs regarding specific sets of institutional antecedents that can increase the emergence of entrepreneurship in different economic clusters. We show that institutional antecedents which are essential to promote entrepreneurship combine distinctly for men’s and women’s entrepreneurship and this combination varies in different stages of economic development. (shrink)

Muslim communities in the village facing the COVID-19 Pandemic attempts to find refuge from the plague and hope for survival. However, this led to more caution, which may lead to xenophobia. Via ethnography, this study unmasks the xenophobic attitude. This research discusses the root causes of panic in the community so that remedies can be implemented. The research attempts to explain, from a socio-anthropological viewpoint, how people and religious groups in the village perceive the pandemic of COVID-19 based on their (...) belief in their faith and in the science. The research takes place in Cigagak village, an area of approximately 7000 m2 on the outskirts of Bandung of West Java of Indonesia. This study examines the selected respondents from about 190 inhabitants who had close ties to managing places of worship and public places. This study utilises a collaborative self-ethnographic method and qualitative analysis. The influence of COVID-19 has moved to new exclusive and disintegrating practices from the inclusion-cohesive religious tradition. Therefore, this study tries to find out ways on how to reduce exclusive perception and religious practices to a minimum level and how to disappear xenophobia. Amid the COVID-19 Pandemic, inclusive awareness and actions were re-established, and even social cohesiveness was fostered. This study concludes that in its deep conviction nature, theology can change exclusive behaviour to be inclusive if it is based on the religious principles that are raised in response to human events. In this case, the Muslim community in a village can change the fear of COVID-19 pandemic to be a reducer of the panic based on the support of the religious doctrines.Contribution: This article used a collaborative self-ethnography with a religious socio-anthropological viewpoint. This study could help to solve social problems through theological convergence in Islamic milieu, especially that of the government’s formal Islamic organisation and organic Islamic leaders of the society. (shrink)

Saba Mahmood’s anthropological work studies the gain in skills, agency and capacity building by the women’s dawa movement in Egypt. These women increase their virtue toward the goal of piety by following dominant, often patriarchal norms. Mahmood argues that “teleological feminism” ignores this gain in agency because this kind of feminism only focuses on opposition or resistance to these norms. In this paper I defend Mahmood’s “anti-teleological” feminist work from criticisms that her project valorizes oppression and has no vision for (...) a nonoppressive feminist future. I argue the future envisioned by teleological feminists gets caught in “the Hegelian” trap of replicating past oppression in their feminist future. I find in Mahmood’s work the tools to escape this trap. I argue, rather than a movement of overcoming oppression, Mahmood’s work suggests an immanent and creative movement that emphasizes difference for a truly new future. I turn to a Bergsonian metaphor and argue that this movement can be seen as akin to the movement of biological evolution. I conclude using the work of Eve Sedgwick that the Egyptian women that Mahmood studies are being read in a “paranoid” fashion and demonstrate using Leila Ahmed a better “reparative” reading of these women. (shrink)

I begin the first part by showing how situationism should make us question traditional understandings of virtues as intrinsic dispositions. I concentrate specifically on situationist experiments related to mood. I then introduce Islamic virtue ethics and the dawa movement. In parts two and three I examine ethnography of the dawa movement to explore how they deal with worries about the influence of mood on their virtue. In part two I show how they train their habits in very traditional virtue ethics (...) ways in order to be more resilient when faced with virtue-diminishing affective situations. In part three I show how the situation, rather than hindering practitioners, is recruited into helping these women achieve piety. I conclude, in part four, by showing the dawa movement's creative use of the Islamic veil as a way to help these women deal with the objection that one cannot avoid all bad situations. Going beyond social psychological experiments, I examine two methodological sources not found in situationist debates. First, I argue for ethnography as an empirical method through which to study virtue. I draw on ethnography of the Islamic women's dawa movement. Secondly, the work in the philosophy of mind on ‘affective scaffolding’. (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)

This article examined the recent emergence of the national and international issue of religious polarisation and identity, which affects some groups’ populism and fanaticism. Regarding social phenomena, religion and identity are intertwined like the two sides of a coin. This discourse has an impact how to interpret diversity on religious issues that are caused by political influences. Given the polarisation of identity politics and religion, the national and state campaign slogan ‘unity in diversity’ is merely wishful thinking. The polarisation of (...) identity and religion is heavily implicated in the Indonesia–Philippines border case; consequently, in some instances, the ‘seeds’ of these cases are discovered, eventually resulting in group fanaticism. This article employed the historical way of writing while also taking a social science angle that interacts with the research being done. For some communities, religion and identity may take on symbolic meaning, affecting how well they adapt and are accepted. However, the qualities of a community group or region are also shaped by historical events. According to the study’s findings, religion and ethnic identity have played important roles in long-standing historical processes and impacted them. This study is anticipated to ‘suppress’ the problem of political division involving religion and identity because the identification of ‘border’ communities depends not only on entity and identity issues but also on the community’s culture.Contribution: The contribution in this study is that it has an impact on religious issues and cultural identity relations perspectives. (shrink)

In this paper we have defined neutrosophic ideals, neutrosophic interior ideals, netrosophic quasi-ideals and neutrosophic bi-ideals (neutrosophic generalized bi-ideals) and proved some results related to them. Furthermore, we have done some characterization of a neutrosophic LA-semigroup by the properties of its neutrosophic ideals. It has been proved that in a neutrosophic intra-regular LA-semigroup neutrosophic left, right, two-sided, interior, bi-ideal, generalized bi-ideal and quasi-ideals coincide and we have also proved that the set of neutrosophic ideals of a neutrosophic intra-regular LA-semigroup forms (...) a semilattice structure. (shrink)

The research addresses the effect of sense of control on perceived stress by controlling for the intervening effects of Religiosity and Materialism. A total of 609 emerging adults living in Dhaka city participated in the survey; surveyors used a 48-item structural closed-ended questionnaire to collect the responses. The elicited responses were quantified, and structural equation models were formulated to identify any associations among the variables of interest. The findings suggest that sense of control is a strong determinant of perceived stress; (...) neither religiosity nor materialism mediate the association. The study advances the transactional model of stress and coping. (shrink)

The notion of 'natural kinds' has been central to contemporary discussions of metaphysics and philosophy of science. Although explicitly articulated by nineteenth-century philosophers like Mill, Whewell and Venn, it has a much older history dating back to Plato and Aristotle. In recent years, essentialism has been the dominant account of natural kinds among philosophers, but the essentialist view has encountered resistance, especially among naturalist metaphysicians and philosophers of science. Informed by detailed examination of classification in the natural and social sciences, (...) this book argues against essentialism and for a naturalist account of natural kinds. By looking at case studies drawn from diverse scientific disciplines, from fluid mechanics to virology and polymer science to psychiatry, the author argues that natural kinds are nodes in causal networks. On the basis of this account, he maintains that there can be natural kinds in the social sciences as well as the natural sciences. (shrink)

Building on conservation of resource (COR) theory, this study adds to the business ethics literature by examining how employees' religiousness might help them cope with a stressful work environment. In doing so, this study examines the differential effects of challenge and hindrance stressors on employees’ job performance and their helping behaviors; and the moderating role of religiousness in this process. Findings from a multisource and three-wave survey data, collected from dyads of employees and their supervisors in Pakistan-based organizations, indicate that (...) challenge stressors positively predict employees' job performance; however, the link between challenge stressors and helping behavior was not significant. Religiousness invigorates both these relationships such that the employees with high religiousness exhibit higher job performance and helping behavior when confronted with challenging stressors. In contrast, hindrance stressors had a negative effect on employees' job performance and their propensity to engage in helping behaviors. Religiousness mitigates this negative effect of hindrance stressors such that the effect is weaker for employees who can draw strength from their religiousness. Finally, this paper discusses the theoretical and practical implications of the study’s findings and offers directions for future research. (shrink)

The aim of this work focuses on the relationship among the Dark Triad, perceptions of organizational politics, political skills, and counterproductive work behavior. This study empirically tests the mediating role of perceptions of organizational politics in the relationship between the Dark Triad and counterproductive work behavior. Furthermore, the study investigates the moderating role of political skills in strengthening the link between the Dark Triad and the perceptions of organizational politics. A sample of 149 participants was randomly selected. To analyze the (...) data of the present work, we employed a structural equation model using partial least square and PROCESS. From empirical findings, we imply an inference that perception of organizational politics partially mediates the Dark Triad's influence on the counterproductive work behavior. Moreover, the results identify the moderating role of political skills in strengthening the link between the Dark Triad and the perceptions of organizational politics. Empirical findings suggest important policy implications for the hospitality industry. (shrink)