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 thirteenth volume of Collected Papers is an eclectic tome of 88 papers in various fields of sciences, such as astronomy, biology, calculus, economics, education and administration, game theory, geometry, graph theory, information fusion, decision making, instantaneous physics, quantum physics, neutrosophic logic and set, non-Euclidean geometry, number theory, paradoxes, philosophy of science, scientific research methods, statistics, and others, structured in 17 chapters (Neutrosophic Theory and Applications; Neutrosophic Algebra; Fuzzy Soft Sets; Neutrosophic Sets; Hypersoft Sets; Neutrosophic Semigroups; Neutrosophic Graphs; Superhypergraphs; Plithogeny; (...) Information Fusion; Statistics; Decision Making; Extenics; Instantaneous Physics; Paradoxism; Mathematica; Miscellanea), comprising 965 pages, published between 2005-2022 in different scientific journals, by the author alone or in collaboration with the following 110 co-authors (alphabetically ordered) from 26 countries: Abduallah Gamal, Sania Afzal, Firoz Ahmad, Muhammad Akram, Sheriful Alam, Ali Hamza, Ali H. M. Al-Obaidi, Madeleine Al-Tahan, Assia Bakali, Atiqe Ur Rahman, Sukanto Bhattacharya, Bilal Hadjadji, Robert N. Boyd, Willem K.M. Brauers, Umit Cali, Youcef Chibani, Victor Christianto, Chunxin Bo, Shyamal Dalapati, Mario Dalcín, Arup Kumar Das, Elham Davneshvar, Bijan Davvaz, Irfan Deli, Muhammet Deveci, Mamouni Dhar, R. Dhavaseelan, Balasubramanian Elavarasan, Sara Farooq, Haipeng Wang, Ugur Halden, Le Hoang Son, Hongnian Yu, Qays Hatem Imran, Mayas Ismail, Saeid Jafari, Jun Ye, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Darjan Karabašević, Abdullah Kargın, Vasilios N. Katsikis, Nour Eldeen M. Khalifa, Madad Khan, M. Khoshnevisan, Tapan Kumar Roy, Pinaki Majumdar, Sreepurna Malakar, Masoud Ghods, Minghao Hu, Mingming Chen, Mohamed Abdel-Basset, Mohamed Talea, Mohammad Hamidi, Mohamed Loey, Mihnea Alexandru Moisescu, Muhammad Ihsan, Muhammad Saeed, Muhammad Shabir, Mumtaz Ali, Muzzamal Sitara, Nassim Abbas, Munazza Naz, Giorgio Nordo, Mani Parimala, Ion Pătrașcu, Gabrijela Popović, K. Porselvi, Surapati Pramanik, D. Preethi, Qiang Guo, Riad K. Al-Hamido, Zahra Rostami, Said Broumi, Saima Anis, Muzafer Saračević, Ganeshsree Selvachandran, Selvaraj Ganesan, Shammya Shananda Saha, Marayanagaraj Shanmugapriya, Songtao Shao, Sori Tjandrah Simbolon, Florentin Smarandache, Predrag S. Stanimirović, Dragiša Stanujkić, Raman Sundareswaran, Mehmet Șahin, Ovidiu-Ilie Șandru, Abdulkadir Șengür, Mohamed Talea, Ferhat Taș, Selçuk Topal, Alptekin Ulutaș, Ramalingam Udhayakumar, Yunita Umniyati, J. Vimala, Luige Vlădăreanu, Ştefan Vlăduţescu, Yaman Akbulut, Yanhui Guo, Yong Deng, You He, Young Bae Jun, Wangtao Yuan, Rong Xia, Xiaohong Zhang, Edmundas Kazimieras Zavadskas, Zayen Azzouz Omar, Xiaohong Zhang, Zhirou Ma.‬‬‬‬‬‬‬‬. (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)

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)

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 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)

A number of anthropologists have argued that religious concepts are minimally counterintuitive and that this gives them mnemic advantages. This paper addresses the question of why people have the memory architecture that results in such concepts being more memorable than other types of concepts by pointing out the benefits of a memory structure that leads to better recall for minimally counterintuitive concepts and by showing how such benefits emerge in the real‐time processing of comprehending narratives such as folk tales. This (...) model suggests that memorability is not an inherent property of a concept; rather it is a property of the concept, the context in which the concept is presented, and the background knowledge that the comprehendor possesses about the concept. The model predicts how memorability of a concept should change if the context containing the concept were changed. The paper also presents the results of experiments carried out to test these predictions. (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)

The purpose of the study is to empirically examine moral ideology, ethical beliefs, and moral intensity in the context of Pakistan. Jones (Academy of Management Review, 16(2), 366–395, 1991) model and Muncy and Vitell (Journal of Business Research, 24, 297–311, 1992) have extensively been investigated and validated in west for examining ethical decision-making process. This study examines and validates these models in a collectivist cultural settings, i.e., Pakistan. A self-administered online survey technique using convenience sampling technique was used to gather (...) data from a sample of 1000 consumers in Pakistan. Final analysis was carried out on 338 valid responses. Data was analyzed using from descriptive analysis, correlation analysis, confirmatory factor analysis (CFA), exploratory factor analysis (EFA), and model estimation carried out AMOS. Cronbach’s α was used to test the reliability of the instrument. A majority of the consumers were high on idealism and low on relativism. Consumers dejected questionable activities that have harmful outcomes more than ones that have harmless outcomes. Both idealism and relativism are found to significant predict moral intensity. However, no relationship has been found between moral ideology and ethical beliefs. Consumer’s ethical beliefs are found to significantly affect moral intensity and behavioral intention. Social moral intensity is found to mediate the relationship of relativism and harmful ethical beliefs. The study is among the pioneer studies in Pakistan that examines the link of moral ideology, moral intensity, and ethical beliefs. The study provides an Urdu version of scales that can be utilized for further exploration and validation. (shrink)

Much experimental evidence shows that minimally counterintuitive concepts, which violate one intuitive ontological expectation of domain-specific natural kinds, are remembered as well as or better than intuitive concepts with no violations of ontological expectations, and much better than maximally counterintuitive concepts with more than one violation of ontological violations. It is also well established that concepts rated as high in imagery, are recalled better than concepts that are low in imagery. We conducted three studies to test whether imagery levels affected (...) recall rates of intuitive, minimally counterintuitive, and maximally counterintuitive concepts. In study 1, we obtained imagery level ratings for 48 three-word items. In study 2, we used the ratings obtained in study 1 in a 2 × 3 recall task in which imagery was manipulated along with counterintutiveness. High imagery items were recalled significantly better than low imagery items for intuitive and maximally counterintuitive items but not for minimally counterintuitive items. Study 3, replicated the findings from study 2 in a 2 × 2 study using a larger number of intuitive and minimally counterintuitive items. In both studies, High imagery items were recalled significantly better than low imagery items for intuitive but not for minimally counterintuitive items. Thus, minimally counterintuitive concepts appear insulated from imagery effects on recall. (shrink)

The emerging field of cognition and culture has had some success in explaining the spread of counterintuitive religious concepts around the world. However, researchers have been reluctant to extend its findings to explain the widespread occurrence of culturally counterintuitive ideas in general. This article develops a broader notion of social counterintuitiveness to include ideas that violate shared expectations of a group of people and argues that the notion of social counterintuitiveness is more crucial to explaining cultural success of surprising ideas (...) than the traditional notion of individual counterintuitiveness. Building on the context-based account of individual counterintuitiveness, the article also outlines how the once unorthodox cultural ideas become conventionalized over time only to be swept under the next wave of cultural innovation. By helping us peel away the layers of tradition that weave together the multilayered tapestry of culture, this account can be useful for understanding the development of cultural scaffolding that is needed to support the spread of maximally counterintuitive concepts such as widespread religious concepts of God and ghosts. (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)

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)

Ethics issues in the areas of science, technology and medicine have emerged during the last few decades. Many countries have responded by establishing ethics committees at the national level. Identification of National Ethics Committees (NECs) in the Eastern Mediterranean (EM) region and the extent of their functions and capacity would be helpful in developing capacity building programs that address the needs of these committees. Accordingly, we conducted a survey to determine the characteristics of existing NECs in the EM region.

In this research, the He-Laplace algorithm is extended to generalized third order, time-fractional, Korteweg-de Vries models. In this algorithm, the Laplace transform is hybrid with homotopy perturbation and extended to highly nonlinear fractional KdVs, including potential and Burgers KdV models. Time-fractional derivatives are taken in Caputo sense throughout the manuscript. Convergence and error estimation are confirmed theoretically as well as numerically for the current model. Numerical convergence and error analysis is also performed by computing residual errors in the entire fractional (...) domain. Graphical illustrations show the effect of fractional parameter on the solution as 2D and 3D plots. Analysis reveals that the He-Laplace algorithm is an efficient approach for time-fractional models and can be used for other families of equations. (shrink)

Alzheimer’s disease is an example of age-related dementia, and there are still no known preventive or curative measures for this disease. Obesity and associated metabolic changes are widely accepted as risk factors of age-related cognitive decline. Insulin is the prime mediator of metabolic homeostasis, which is impaired in obesity, and this impairment potentiates amyloid-β accumulation and the formation of neurofibrillary tangles. Obesity is also linked with functional and morphological alterations in brain mitochondria leading to brain insulin resistance and memory deficits (...) associated with AD. Also, increased peripheral inflammation and oxidative stress due to obesity are the main drivers that increase an individual’s susceptibility to cognitive deficits, thus doubling the risk of AD. This enhanced risk of AD is alarming in the context of a rapidly increasing global incidence of obesity and overweight in the general population. In this review, we summarize the risk factors that link obesity with AD and emphasize the point that the treatment and management of obesity may also provide a way to prevent AD. (shrink)

The novel coronavirus (COVID-19) has imperatively shaken the behavior of the global financial markets. This study estimated the impact of COVID-19 on the behavior of the financial markets of Europe and the US. The results revealed that the returns of the S&P 500 index have been greatly affected by a lockdown in the US owing to COVID-19. However, the health crisis generated due to the novel coronavirus significantly decreased the stock returns of the Nasdaq Composite index. The results also showed (...) that the economic crisis generated from the pandemic in Spain has had more impact on the IBEX 35 as compared to the health crisis itself. On the other hand, in the long-run, Italy’s stock markets are more affected by the health crisis as contrasted with the economic crisis, while, in the short-run, both lockdown conditions and economic instability lower the stock returns of FTSE MIB. The UK stock markets witnessed that in the short-run, deficiency of health management systems imperatively damaged the stock returns of the London Stock Exchange. The investigation revealed that deficiency of health systems and lockdown conditions have imperatively damaged the structure of financial markets, inferring that sustainable development of these nations is at risk due to COVID-19. The study suggested that governments should allocate more of their budget to the health sector to overcome a health crisis in the future. (shrink)

Value Co-Creation plays a major role in engaging knowledgeable individuals in a community via innovation, problem solving, and new service/product development. This study investigates the personal factors that influence individuals’ engagement in value co-creation in Higher Education Institutions through the use of online platforms. Some higher education institutions have successfully established or used appropriate online platforms, such as online forums, web applications, and mobile applications to engage their community in ideation or crowdsourcing as a part of the value co-creation process. (...) On the other hand, some HEIs have failed to engage their community in value co-creation activities, and even if they managed to engage some individuals in value co-creation once, they failed to sustain these individuals’ engagement in value co-creation using online platforms. Using the Stimulus Organism Response framework, this study examines the relationship between relevant personal factors and other motivational factors that provide perceived benefits with value co-creation engagement. Data was collected from 308 respondents at five Malaysian research universities. The software analysis tool Smart PLS is used for data analysis and validation. The results demonstrate that personal factors and perceived benefits as a motivational factor has a significant effect on individual engagement in value co-creation. However, the significance of these findings varies from one individual to another. The implications of these findings are discussed. (shrink)

We studied the impact of teachers’ ethical leadership on students’ moral identity and academic citizenship behaviors. Data from 256 student–teacher matching dyads were collected from one of the top 5 Pakistani business schools. Confirmatory factor analysis was used to ensure factorial validity of the measures that were employed, and the hypothesized relationships were tested using structural regression models that utilized structural equation modeling in AMOS with 5,000 bootstrap samples. Based on social learning theory, the results supported the hypothesis that teachers’ (...) ethical leadership had significant direct and indirect positive effects on the students’ academic citizenship behaviors that were directed toward other students and the school. This study contributes to existing literature on ethical leadership and organizational citizenship behavior by highlighting useful implications of these organization-based constructs in an academic context. (shrink)

Social media advertisement is a growing phenomenon designed to reach and engage customers. However, despite their continued adoption, less remains known regarding the effectiveness of social media ads to co-create brand value. In response to this gap, this study aims to deepen the theoretical understanding of consumer value co-creation through social media advertising value. The data were collected using purposive sampling from 286 experienced social-media users, and the model was tested using partial least square -based structural equation modeling. The results (...) indicate that entertainment, aesthetic appeal, interactivity, and trendiness significantly affect the adverting value of social media ads. In turn, ad value affects consumers’ intention for value co-creation. Consequently, our findings suggest the importance of social media advertising value where marketers may enhance consumer-brand engagement by incorporating interesting content, which may encourage the customer’s interaction with the social media ads and strengthen value co-creation behavior. The results further contribute to nascent marketing literature by demonstrating that value co-creation acts as an antecedent to generating positive electronic word-of-mouth on social media platforms to drive consumers’ online brand purchase intention. (shrink)

The application of game elements of gamification in online shopping is attracting interest from researchers and practitioners. However, it remains unclear how gamification affects and improves consumer purchase intention on online shopping platforms, which still leaves a gap in our knowledge. To narrow this theoretical gap, a theoretical model has been built in this study. This model adopts cognitive evaluation theory to explain the impact of gamification elements on consumer purchase intention. Data was collected from 322 online shopping consumers who (...) used a flash game to test their purchase intention after playing games. The results show that game rewards, absorption and autonomy of gamification positively enhance sense of enjoyment, and that it helps people meet their psychological needs, which ultimately affects the online purchase intention of consumers. This study is helpful in analyzing the factors involved in the successful introduction of gamification on online shopping platforms in more detail. (shrink)

Includes an introd. of 49 p. by S. G. Abbas.

Using the assumptions of Sternberg Duplex Theory of Hate, the present study reveals the combined effects of similar competitor offer and narcissistic personality on brand equity through the underlying mechanism of brand hate. Specifically, we hypothesize that brand hate mediates the relationship between similar competitor offer and brand equity. Moreover, we propose that similar competitor offer and brand hate relationship are stronger for narcissistic individuals. By employing a multi-wave time-lagged research design, we collected data from a sample of dairy product (...) consumers in Pakistan. The findings of moderated-mediation regression analyses indicate that Brand hate mediates the relationship between similar competitor offer and brand equity; and Narcissistic personality moderates a similar competitor offer and brand hate relationship such that a high similar competitor offer led to greater brand hate when narcissism was high. Furthermore, conditional indirect effects reveal that brand hate mediates the relationship between similar competitor offer and brand equity only with individuals exhibiting narcissistic personality traits. The current study offers great insights to managers that by managing similar competitor offer, they can manage the development of brand hate, which can subsequently effect brand equity. Moreover, by profiling customers on the basis of their personalities, marketing managers can effectively invest only in customers with positive tendencies. The current study is unique in that it highlights new avenues in existing research by extending the nascent domain of brand hate in consumer–brand relationships. (shrink)

Nūr Muḥammad is one of the teachings in Sufism that studies the beginning of the creation of the universe. The Sufis discussed Nūr Muḥammad through God's tajallī (manifestation), and they believed that only Insan Kamil (Perfect Humans) possessed the perfection of His tajallī. This Sufi theory can be comprehended through the dhawqi approach. This research will deal with Nūr Muḥammad's theory of Sufism through the perspective of Tijaniyah Tarekat. The data for this study was obtained through library research utilizing a (...) documentary technique. The collected data will be analyzed using the descriptive analysis method. This study finds that the Tijaniyah Tarekat is a Sufism institution that bases its teachings and practices on the concept of Nūr Muḥammad in the form of ṣalawāt al-fātiḥ and ṣalawāt jawharah al-kamāl. This Tarekat's elucidation of Nūr Muḥammad is also built on and consistent with the explication of authoritative Sufis in Islam's intellectual and spiritual tradition. (shrink)

This study develops a conceptual framework and investigates green human resource practices —green recruitment and selection, green training and development, and green reward and compensation? effects on pro-environmental psychological climate and pro-environmental behavior, which cause green corporate social responsibility. We employ information technology capabilities as a moderator between the GHRM and pro-environmental behavior. It applies a convenience sampling technique and survey questionnaire to collect data from 388 employees at CPEC projects. Results demonstrate that GHRM positively influences pro-environmental psychological climate and (...) pro-environmental behavior that significantly develops GCSR. IT capabilities significantly moderate the relationships between GHRM and pro-environmental behavior. The study findings add to the body of green HRM practices, strategic management, and information processing and policy makers better postulate, align, and exercise their green HRM practices for its synergetic effects for green CSR and sustainability. We also acknowledge some limitations and provide future directions. (shrink)

Due to the advance computer technology, the use of probability distributions has been raised up to solve the real life problems. These applications are found in reliability engineering, computer sciences, economics, psychology, survival analysis, and some others. This study offers a new probability model called Marshall–Olkin Extended Gumbel Type-II which can model various shapes of the failure rate function. The proposed distribution is capable to model increasing, decreasing, reverse J-shaped, and upside down bathtub shapes of the failure rate function. Various (...) statistical properties of the proposed distribution are derived such as alternate expressions for the density and distribution function, special cases of MOEGT-II distribution, quantile function, Lorenz curve, and Bonferroni curve. Estimation of the unknown parameters is carried out by the method of maximum likelihood. A simulation study is conducted using three different iterative methods with different samples of sizes n. The usefulness and potentiality of the MOEGT-II distribution have been shown using three real life data sets. The MOEGT-II distribution has been demonstrated as better fit than Exponentiated Gumbel Type-II, Marshall–Olkin Gumbel Type-II, Gumbel Type-II, Marshall–Olkin–Frechet, Frechet, Burr III, Log Logistic, Beta Inverse Weibull, and Kumaraswamy Inverse Weibull distributions. (shrink)

Since the outbreak of COVID-19, reaction quarantine, social distancing, and economic crises have posed a greater risk to physical and psychological health. Such derogatory mental health stigma is associated with adverse outcomes in the student population. The purpose of the current study is to provide a timely evaluation of the COVID-19 pandemic and its adverse effects on students’ psychological well-being to sustain economic sustainability. A thorough review of the literature and current studies, significant emphasis of socio-demographic indicators, interpretation of physical (...) symptoms, home quarantine activities, and COVID-19 unique stressors were extracted. Data were collected through electronic surveys from 640 university students at local and foreign universities. The findings revealed substantial adverse effects resulting in varying levels of stress, symptoms of depression, and specific discomfort in the case. Among COVID-19 stressors, financial instability, unpredictability toward future/career, and media exposure have been described as common factors that cause poor psychological well-being and weaken economic sustainability. COVID-19, quarantine, self-isolation, and onerous interventions primarily weaken university students’ mental health. The emphasis on this vulnerable category, however, is substantially absent from the literature. This research addresses the urgent need to develop possible solutions and preventive measures to promote economic sustainability by ensuring students’ psychological well-being. (shrink)

This paper describes our solution to the problem of inducing ontological information from metadata provided informally. The metadata is in the form of linguistic tags attached to items in an on-lin...