Critical study of the works of Sir Muhammad Iqbal, 1877-1938.

This article revisits the figure of the ‘third world sweatshop worker’, long iconic of the excesses of the global expansion of flexible accumulation in late twentieth-century capitalism. I am interested in how feminist activists concerned with the uneven impact of neo-liberal policies can engage in progressive political interventions without participating in the ‘culture of global moralism’ that continues to surround conventional representations of third world workers. I situate my analysis in the national space of Bangladesh, where the economy is heavily (...) dependent on the labour of women factory workers in the garment industry and where local feminist understandings of the ‘sweatshop economy’ have not always converged with global feminist/left concerns about the exploitation inherent in the (now not so new) New International Division of Labor. The tensions or disjunctures between ‘global’ and ‘local’ feminist viewpoints animate the concerns of this article. I argue that de-contextualized critiques derived from abstract notions of individual rights, and corresponding calls for change from above — calls on the conscience of the feminist and the consumer, for instance — can entail troubling analytical simplifications. They highlight some relations of power while erasing others, thereby enacting a different kind of violence and at times undermining mobilizations on the ground. I draw attention to the multiple fields of power through which much of the activism across borders continues to be produced and reproduced discursively. This kind of framing fits all too easily into existing cultural scripts about gender and race elsewhere, and produces ethical obligations to ‘save’ women workers. (shrink)

Identifying the writer of a handwritten document has remained an interesting pattern classification problem for document examiners, forensic experts, and paleographers. While mature identification systems have been developed for handwriting in contemporary documents, the problem remains challenging from the viewpoint of historical manuscripts. Design and development of expert systems that can identify the writer of a questioned manuscript or retrieve samples belonging to a given writer can greatly help the paleographers in their practices. In this context, the current study exploits (...) the textural information in handwriting to characterize writer from historical documents. More specifically, we employ oBIF(oriented Basic Image Features) and hinge features and introduce a novel moment-based matching method to compare the feature vectors extracted from writing samples. Classification is based on minimization of a similarity criterion using the proposed moment distance. A comprehensive series of experiments using the International Conference on Document Analysis and Recognition 2017 historical writer identification dataset reported promising results and validated the ideas put forward in this study. (shrink)

BackgroundInnovations in technology have contributed to rapid changes in the way that modern biomedical research is carried out. Researchers are increasingly required to endorse adaptive and flexible approaches to accommodate these innovations and comply with ethical, legal and regulatory requirements. This paper explores how Dynamic Consent may provide solutions to address challenges encountered when researchers invite individuals to participate in research and follow them up over time in a continuously changing environment.MethodsAn interdisciplinary workshop jointly organised by the University of Oxford (...) and the COST Action CHIP ME gathered clinicians, researchers, ethicists, lawyers, research participants and patient representatives to discuss experiences of using Dynamic Consent, and how such use may facilitate the conduct of specific research tasks. The data collected during the workshop were analysed using a content analysis approach.ResultsDynamic Consent can provide practical, sustainable and future-proof solutions to challenges related to participant recruitment, the attainment of informed consent, participant retention and consent management, and may bring economic efficiencies.ConclusionsDynamic Consent offers opportunities for ongoing communication between researchers and research participants that can positively impact research. Dynamic Consent supports inter-sector, cross-border approaches and large scale data-sharing. Whilst it is relatively easy to set up and maintain, its implementation will require that researchers re-consider their relationship with research participants and adopt new procedures. (shrink)

Leah Andress,1 Anjali Gupta,2 Nida Siddiqi,3 Kwaku Marfo2,3 1University at Buffalo School of Pharmacy and Pharmaceutical Sciences, Department of Pharmacy Practice, Buffalo, 2Montefiore Medical Center, The University Hospital for Albert Einstein College of Medicine Department of Abdominal Organ Transplant Program, Bronx, 3Montefiore Medical Center, Department of Pharmacy, Bronx, NY, USA: Rabbit anti-thymocyte globulin has proven benefit as induction therapy in renal transplant recipients, achieving reduced acute rejection rates and better short-term allograft function, with slightly higher rates of complications such as (...) infections and malignancy. Compared with other agents, the most benefit from rATG induction has been observed in renal transplant recipients at high immunologic risk for rejection. However, in special populations, such as pediatrics, the elderly, and hepatitis C-positive and human immunodeficiency virus-positive renal transplant recipients, additional information is needed to delineate the absolute benefit of rATG induction compared with other induction agents. Selection of rATG as the choice of induction therapy in renal transplant recipients should be guided by a cost-effective approach in balancing efficacy, safety, and cost. This review summarizes the published literature on efficacy, safety, and cost of rATG induction in renal transplantation. Keywords: anti-thymocyte globulin, renal transplantation, induction therapy. (shrink)

Every emerging technology has its pros and cons; health-conscious users pay more importance to healthy and environment-friendly technologies. Based on the UTAUT2 model, we proposed a comprehensive novel model to study the factors influencing consumers’ decision-making to adopt the technology. Compared to prior studies that focused on linear models to investigate consumers’ technology adoption intentions and use behavior. This study used a Structural Equation Modeling-fuzzy set qualitative comparative analysis approach to account for the complexity of customers’ decision-making processes in adopting (...) new technology. We collected valid responses from 830 consumers, analyzed them, and evaluated them using a deep learning SEM-fsQCA technique to capture symmetric and asymmetric relations between variables. We have extensively incorporated a health-consciousness attitude as a predictor and mediator to understand better the decision-making toward technology adoption, specifically 5G technology. All the factors tested in our model are statistically significant except the economic factors. Health-consciousness attitude and behavioral intention found significant predictors and valid mediators in the process of 5G technology adoption. FsQCA provided six configurations to achieve high 5G adoption. The findings have significant practical ramifications for telecom corporations, advertisers, government officials, and key policymakers. Additionally, the study added substantial theoretical literature to technology adoption, particularly the adoption of 5G technology. (shrink)

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

In association with the development of intermittent renewable energy generation, dynamic multiobjective dispatch faces more challenges for power system operation due to significant REG uncertainty. To tackle the problems, a day-ahead, optimal dispatch problem incorporating energy storage is formulated and solved based on a robust multiobjective optimization method. In the proposed model, dynamic multistage ES and generator dispatch patterns are optimized to reduce the cost and emissions. Specifically, strong constraints of the charging/discharging behaviors of the ES in the space-time domain (...) are considered to prolong its lifetime. Additionally, an adaptive robust model based on minimax multiobjective optimization is formulated to find optimal dispatch solutions adapted to uncertain REG changes. Moreover, an effective optimization algorithm, namely, the hybrid multiobjective Particle Swarm Optimization and Teaching Learning Based Optimization, is employed to seek an optimal Pareto front of the proposed dispatch model. This approach has been tested on power system integrated with wind power and ES. Numerical results reveal that the robust multiobjective dispatch model successfully meets the demands of obtaining solutions when wind power uncertainty is considered. Meanwhile, the comparison results demonstrate the competitive performance of the PSO-TLBO method in solving the proposed dispatch problems. (shrink)

Our objective is to examine the effects of Big Five personality traits on ethical ideologies using a time-lagged design of 406 employees of higher education institutions in Pakistan. Based on low/high idealism versus relativism, we investigate the conceptual linkage between each of the personality traits and moral philosophy. The results illustrate that extraversion and openness to experience believed on subjectivism moral philosophy, agreeableness believed on situationism, and neuroticism believed on absolutism moral philosophies. In addition, contentiousness believed on exceptionism moral philosophy. (...) Furthermore, managerial implications and future research directions are suggested. (shrink)

Sufism has two main dimensions: vertical (God’s pleasure) and horizontal (harmony with nature, society and local wisdom). In reality, many Sufis are considered less concerned about the balancing between vertical and horizontal dimensions. The research explores the concepts and practices of hybrid Sufism undertaken by Kyais (religious leaders) and their followers in improving quality of life. Ethnography was used for exploring the mindset and activities of Kyai and his followers. This study involved four Kyais in Java and Kalimantan, Indonesia. Research (...) data were obtained through participant observations, in-depth interviews and documentation. The data were analysed by Spadley’s ethnographic steps as follows: (1) domain analysis, (2) taxonomy analysis, (3) componential analysis and (4) cultural-thematic analysis. The results showed that hybrid Sufism could improve quality of life. Hybrid Sufism can better appreciate and interpret local wisdom with an attitude of preserving nature and a positive understanding of worldly wealth, increasing the hard work ethos to achieve material–spiritual qualities. Contribution: This article shows that hybrid Sufism encourages the life of Sufis in harmony between vertical and horizontal aspects. This understanding and lifestyle give rise to respect for others, being friendly to the environment and interpreting life and local wisdom. (shrink)

This article examines the risk and return profiles of stock indices composed of companies meeting environmental, social and governance screening criteria [such as the Dow Jones Sustainability Indices ] and conventional composite indices of eight Asian countries from 2002 to 2014. The results indicate that there are no significant differences in the returns or risk-adjusted returns between the ESG indices and the composite indices within countries. The results do reveal that the market volatility of the ESG indices is higher than (...) the market volatility of the conventional indices. Market betas of DJSI and ESG equity indices are significantly lower than betas of the composite equity indices. The overall results indicate that the performance of ESG equity indices of many Asian countries is similar to the performance of conventional indices, suggesting that investors can pursue socially responsible investing objectives without a material difference in portfolio performance from conventional investing. (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)

Advancements in science and technology have not only brought hope to humankind to produce disease-free offspring, but also offer possibilities to genetically enhance the next generation’s traits and capacities. Human genetic enhancement, however, raises complex ethical questions, such as to what extent should it be allowed? It has been a great challenge for humankind to develop robust ethical guidelines for human genetic enhancement that address both public concerns and needs. We believe that research about public concerns is necessary prior to (...) developing such guidelines, yet the issues have not been thoroughly investigated in many countries, including Malaysia. Since the novel often functions as a medium for the public to express their concerns, this paper explores ethical concerns about human genetic enhancement expressed in four Malay science fiction novels namely Klon, Leksikon Ledang, Transgenesis Bisikan Rimba and Transgenik Sifar. Religion has a strong influence on the worldview of the Malays therefore some concerns such as playing God are obviously religious. Association of the negative image of scientists as well as the private research companies with the research on human genetic enhancement reflects the authors’ concerns about the main motivations for conducting such research and the extent to which such research will benefit society. (shrink)

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)

This article aims to improve the understanding of corporate governance and environmental reporting literature by analyzing the impact of board gender diversity (BGD) on environmental performance, environmental disclosure, and greenwashing behavior. The panel regression estimation technique with fixed effects was applied to Chinese firm data. As a result, it was found that more women who served on corporate boards enhanced the company's environmental performance and disclosures while limiting greenwashing behavior. The result indicated that women in top management play a constructive (...) role in establishing firms' active environmental initiatives. Furthermore, this relationship was nonlinear and exponentially increased when women's representation reached the threshold of 33.5% representation on board or higher. Based on the findings, no internal bias was found even after other governance and firm-level control factors and probable endogenies were considered and variable biases were omitted. Notably, the results present important implications for regulators and policymakers by highlighting the influential role of BGD in promoting environmentally responsible practices and reducing greenwashing. (shrink)

Over the past couple of decades, research on the perks of corporate social responsibility has reported that it is a source of competitive advantage and can increase the bottom-line performance of the organization. However, a somewhat small proportion of this research is focused on the ‘greenwash’ side, which posits that not all CSR would lead to positive impacts. By extending this line of research, the current study is aimed at investigating the differential impacts of CSR by developing a scale for (...) the three-dimensional model of CSR attributions coined by Ahmad in 2017, that is, Embedded, P-Social, and P-Instrumental CSR, and testing the same with counterproductive sustainability behaviors. The attribution theory was used to explain the relationship between the study variables. Data (N = 311) were collected from the tourism and hospitality sectors. It was found that Embedded and P-Social CSR practices would be attributed to more genuine CSR and would lead to a reduction in counterproductive sustainability behaviors. Furthermore, the P-Instrumental CSR would be attributed to more selfish and instrumental practices and hence would be considered as greenwashing, which will consequently lead to enhancing counterproductive sustainability behaviors. The study further tested the mediating role of employees' organizational trust, which was also supported by the results. Several theoretical and practical implications are discussed. (shrink)

This study investigates the banking industry's resilience in maintaining its performance during a crisis by examining the impact of an income diversification strategy and considering the ownership structure. Moderated Regression Analysis was employed to explore bank performance proxy by Return on Assets (ROA) ratio as the dependent variable. For the Independent variable, we used income diversification and ownership structure. The research sample comes from 83 banks in Indonesia, consisting of 4 state-owned banks, 26 regional government banks, 30 private banks, and (...) 23 foreign banks in the 2020-2021 quarterly. The results indicate that diversification has no significant effect on bank performance during the Covid-19 pandemic at commercial banks in Indonesia but has a positive direction. The ownership structure was a pure moderator that weakened the relationship between income diversification and bank performance. Meanwhile, state-owned banks need to be more creative in exploring non-interest income sources than private and foreign banks. The Covid-19 pandemic has had a significant impact on the global economy, including the banking sector in Indonesia. However, the Indonesian banking industry has shown resilience during the pandemic. The Indonesian government has implemented several policies to support the banking sector during the pandemic. (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)

Sierpinski networks are networks of fractal nature having several applications in computer science, music, chemistry, and mathematics. These networks are commonly used in chaos, fractals, recursive sequences, and complex systems. In this article, we compute various connectivity polynomials such as M -polynomial, Zagreb polynomials, and forgotten polynomial of generalized Sierpinski networks S k n and recover some well-known degree-based topological indices from these. We also compute the most general Zagreb index known as α, β -Zagreb index and several other general (...) indices of similar nature for this network. Our results are the natural generalizations of already available results for particular classes of such type of networks. (shrink)

Handwritten text recognition is considered as the most challenging task for the research community due to slight change in different characters’ shape in handwritten documents. The unavailability of a standard dataset makes it vaguer in nature for the researchers to work on. To address these problems, this paper presents an optical character recognition system for the recognition of offline Pashto characters. The problem of the unavailability of a standard handwritten Pashto characters database is addressed by developing a medium-sized database of (...) offline Pashto characters. This database consists of 11352 character images. Enriched feature extraction techniques of histogram of oriented gradients and zoning-based density features are used for feature extraction of carved Pashto characters. K-nearest neighbors is considered as a classification tool for the proposed algorithm based on the proposed feature sets. A resultant accuracy of 80.34% is calculated for the histogram of oriented gradients, while for zoning-based density features, 76.42% is achieved using 10-fold cross validation. (shrink)

The mathematical model of physical problems interprets physical phenomena closely. This research work is focused on numerical solution of a nonlinear mathematical model of fractional Maxwell nanofluid with the finite difference element method. Addition of nanoparticles in base fluids such as water, sodium alginate, kerosene oil, and engine oil is observed, and velocity profile and heat transfer energy profile of solutions are investigated. The finite difference method involving the discretization of time and distance parameters is applied for numerical results by (...) using the Caputo time fractional operator. These results are plotted against different physical parameters under the effects of magnetic field. These results depicts that a slight decrease occurs for velocity for a high value of Reynolds number, while a small value of Re provides more dominant effects on velocity and temperature profile. It is observed that fractional parameters α and β show inverse behavior against u y, t and θ y, t. An increase in volumetric fraction of nanoparticles in base fluids decreases the temperature profile of fractional Maxwell nanofluids. Using mathematical software of MAPLE, codes are developed and executed to obtain these results. (shrink)

In this study, we first introduce polygonal cylinder and torus using Cartesian products and topologically identifications and then find their Wiener and hyper-Wiener indices using a quick, interesting technique of counting. Our suggested mathematical structures could be of potential interests in representation of computer networks and enhancing lattice hardware security.

This study discusses the teachings of Sunan Gunung Jati as the value of religious humanism in education and history for the people of Cirebon. The teachings of Sunan Gunung Jati are still tightly grasped by the people of Cirebon from ancient times to the present, namely martabat tembung wali because they contain moral teachings and noble cultural values. The teachings of Sunan Gunung Jati have the concept of religious humanism as a form of history. The concept of religious humanism has (...) implications for the educational process, with an orientation to developing human aspects. The purpose of this study is to explore the values of life reflected in the teachings of Sunan Gunung Jati’s life as the value of religious humanism in education and history for the people of Cirebon. This research uses an anthropolinguistic theoretical framework to examine the value of religious humanism in education and history for the people of Cirebon. This study uses a qualitative research paradigm. The results showed that the teachings of Sunan Gunung Jati contained the value of life in social rules. Sunan Gunung Jati has relevance to the process of human development. Humans have a personal side that continues to grow in line with the social side. Human development is also surrounded by spiritual components as a form of emotional intelligence. Contribution: This article contributes to the objective of HTS Teologiese Studies/Theological Studies to investigate the history of religions, as well as phenomenology, psychology, philosophy and sociology of religions. (shrink)

Diabetes is one of the most common metabolic diseases that cause high blood sugar. Early diagnosis of such a condition is challenging due to its complex interdependence on various factors. There is a need to develop critical decision support systems to assist medical practitioners in the diagnosis process. This research proposes developing a predictive model that can achieve a high classification accuracy of type 2 diabetes. The study consisted of two fundamental parts. Firstly, the study investigated handling missing data adopting (...) data imputation, namely, median value imputation, K-nearest neighbor imputation, and iterative imputation. Consequently, the study validated the implications of these imputations using various classification algorithms, i.e., linear, tree-based, and ensemble algorithms, to see how each method affected classification accuracy. Secondly, Artificial Neural Network was employed to model the best performing imputed data, balanced with SMOTETomek ensuring each class is represented fairly. This approach provided the best accuracy of 98% on the test data, outperforming accuracies achieved in prior studies using the same dataset. The dataset used in this study is concerned with gender and population. As a prospect, the study recommends adopting a larger population sample without geographic boundaries. Additionally, as the developed Artificial Neural Network model did not undergo any specific hyperparameter tuning, it would be interesting to explore tuning on top of normalized data to optimize accuracy further. (shrink)