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This work aims to concentrate on the mixed convection of the stagnation point flow of ternary hybrid nanofluids towards vertical Riga plate. Aluminum trioxide (Al₂O₃), silicon dioxide (SiO₂) and titanium dioxide (TiO₂) are regarded as nanoparticles, with water serving as the base fluid. The mathematical model incorporates momentum boundary layer and energy equations. The Grinberg term for the viscous dissipation and the wall parallel Lorentz force coming from the Riga plate are taken into consideration in the context of the energy equation.

Through the use of appropriate nonsimilar transformations, the governing system is transformed into nonlinear nondimensional partial differential equations (PDEs). The numerical method bvp4c (built-in package for MATLAB) is used in this study to simulate governing equations using the local non-similarity (LNS) approach up to the second truncation level.

Numerous graphs and numerical tables expound on the physical properties of the nanofluid temperature and velocity profiles. The local Nusselt correlations and the drag coefficient for pertinent parameters have been computed in tabular form. Additionally, the temperature profile drops while the velocity profile increases when the mixed convection parameter is included to oppose the flow.

The fundamental goal of this work is to comprehend how ternary nanofluids move towards a vertical Riga plate in a mixed convective domain with stagnation point flow.

This study investigates the flow and heat transfer in a magnetohydrodynamic (MHD) ternary hybrid nanofluid (HNF), considering the effects of viscous dissipation and radiation.

The transport equations are transformed into nondimensional partial differential equations. The local nonsimilarity (LNS) technique is implemented to truncate nonsimilar dimensionless system. The LNS truncated equation can be treated as ordinary differential equations. The numerical results of the equation are accomplished through the implementation of the bvp4c solver, which leverages the fourth-order three-stage Lobatto IIIa formula as a finite difference scheme.

The findings of a comparative investigation carried out under diverse physical limitations demonstrate that ternary HNFs exhibit remarkably elevated thermal efficiency in contrast to conventional nanofluids.

The LNS approach (Mahesh et al., 2023; Khan et al., 20223; Farooq et al., 2023) that we have proposed is not currently being used to clarify the dynamical issue of HNF via porous media. The LNS method, in conjunction with the bvp4c up to its second truncation level, yields numerical solutions to nonlinear-coupled PDEs. Relevant results of the topic at hand, obtained by adjusting the appropriate parameters, are explained and shown visually via tables and diagrams.

The purpose of the present work is to propose a wavelet method for the numerical solutions of Caputo–Hadamard fractional differential equations on any arbitrary interval.

The author has modified the CAS wavelets (mCAS) and utilized it for the solution of Caputo–Hadamard fractional linear/nonlinear initial and boundary value problems. The author has derived and constructed the new operational matrices for the mCAS wavelets. Furthermore, The author has also proposed a method which is the combination of mCAS wavelets and quasilinearization technique for the solution of nonlinear Caputo–Hadamard fractional differential equations.

The author has proved the orthonormality of the mCAS wavelets. The author has constructed the mCAS wavelets matrix, mCAS wavelets operational matrix of Hadamard fractional integration of arbitrary order and mCAS wavelets operational matrix of Hadamard fractional integration for Caputo–Hadamard fractional boundary value problems. These operational matrices are used to make the calculations fast. Furthermore, the author works out on the error analysis for the method. The author presented the procedure of implementation for both Caputo–Hadamard fractional initial and boundary value problems. Numerical simulation is provided to illustrate the reliability and accuracy of the method.

Many scientist, physician and engineers can take the benefit of the presented method for the simulation of their linear/nonlinear Caputo–Hadamard fractional differential models. To the best of the author’s knowledge, the present work has never been proposed and implemented for linear/nonlinear Caputo–Hadamard fractional differential equations.

The purpose of this paper is to provide a critical appraisal of the theme of zulm (injustice/exploitation) in light of the Islamic finance literature and the general attitude and approach of the Islamic finance industry and its advocates.

Based on an expanding theoretical and empirical knowledge base about Islamic finance and banking movement, and the emerging understanding about the role of profit and corporate behavior, a critical analysis of the role of riba, interest and profit in widespread injustice and exploitation is presented.

On the basis of the behavior of the Islamic finance industry, it seems that the industry's current practices are either neutral to the issue of injustice/exploitation or mirrors the tendencies of the conventional finance. Furthermore, when comparing the exploitative role of interest and profit, the latter seems to be more consequential than generally understood and acknowledged.

Islamic economics/finance literature should have more empirical research in identifying and understanding the nature of exploitation in the contemporary world and in how the current practices or tendencies are minimizing or abetting the challenge of exploitation.

The larger goal of the Islamic finance and banking movement should be to be in harmony with the maqasid of Islam to minimize zulm (injustice/exploitation) in the society.

The larger goal of the Islamic finance and banking movement should be to be in harmony with the maqasid of Islam to minimize zulm (injustice/exploitation) in the society.

While the literature of Islamic economics and finance is rather robust, this might be the first work that critically examines the riba‐interest reductionism, especially to focus on its implication for attention of the industry being away from exploitation in general and the relationship between profit and exploitation in particular.

Lesbian, gay, bisexual, transgender, and queer (LGBTQ+) individuals face an elevated level of prejudice in various social settings like sports. These biases can relate to internalized stigma, which might prompt LGBTQ+ athletes to implement numerous identity coping strategies. Muslim LGBTQ+ athletes are likely to experience these dynamics more than others. However, there remains a dearth of scholarship on understanding how Muslim LGBTQ+ athletes employ different identity development coping strategies to tackle the prevalent stigma against them and use their visible identity development process as a means of social activism. Hence, in this book chapter, the authors explore the development of Muslim LGBTQ+ sportspersons' visible identity by defining the forces that shape their identity. The first author of the book chapter sheds light on his experiences while working with the LGBTQ+ community in the Islamic Republic of Pakistan and his recent interactions with the Muslim LGBTQ+ community in North America. The authors then highlight how Muslim LGBTQ+ athletes might use different identity coping strategies to show personal agency against the heteronormative system. Furthermore, the authors elucidate how sexual orientation intersects with religion within the sociocultural domain in shaping the identity and present global Muslim LGBTQ+ identity typology. Finally, the authors argue that Muslim LGBTQ+ athletes' visible identity depends upon two factors: religious negative/positive self-beliefs about religion Islam's openness toward LGBTQ+ rights and social acceptance, bounded by time and space.

Financial technology (fintech) has emerged as a major player in the global financial system, providing a range of services such as payments, digital currencies, money transfers, loans, crowdsourcing, and insurance. Fintech startups in Arab countries have also gained traction due to economic openness and globalization. However, concerns remain about the safety, durability, and security of traditional financial services, especially with the increasing use of artificial intelligence (AI) and digitization. The Central Bank of Bahrain and other regulatory authorities need to balance risk avoidance with the global trend toward innovation in fintech, as well as ensure that these technologies are not used for fraud, money laundering, piracy, or terrorist financing. The Bahraini government and supervisory authorities must strike a balance between preserving the integrity and robustness of the financial and banking sector and developing innovation. This can be achieved by adjusting the rhythm of comparison, strengthening and enhancing the safety of banks, achieving financial stability, and ensuring compliance with laws and legislation. It is important to address gaps in regulatory rules, information security, and the business environment, and launch financial awareness at the community level before embracing the potential of fintech and its unseen future development at the level of cryptocurrencies and others. The current work examines the impact of Fintech on the Future of banking in Bahrain and the opportunities and challenges.

Risk assessment is imperative for disaster risk reduction. The risk is rooted to various physical, social, economic, demographic and environmental factors that determine the probable magnitude of loss during an extreme event. By way of bringing a conceptual model into practice, this paper aims to examine the flood risk of the Srinagar city.

The “risk triangle” model has been adopted in the present investigation evaluating parameters, reflective of hazard (intensity), exposure (spatial) and vulnerability (sensitivity) using Landsat-8 operational land imager scene (10 September 2014), global positioning system, Cartosat-1 digital elevation model and socioeconomic and demographic data (Census of India, 2011). The authors characterise flood hazard intensity on the basis of variability in water depth during a recent event (September 2014 Kashmir flood); spatial exposure as a function of terrain elevation; and socioeconomic structure and demographic composition of each municipal ward of the city as a determinant factor of the vulnerability. Statistical evaluation and geographic information system-based systematic integration of all the multi-resolution data layers helped to develop composite flood risk score of each ward of the city.

Principal deliverable of this study is flood risk map of the Srinagar city. The results reveal that approximately 46 per cent of the city comprising 33 municipal wards is at high risk, while rest of the area, i.e. 17 and 37 per cent, exhibit moderate and low levels of risk, constituting 23 and 12 municipal wards, respectively. It is very likely that the municipal wards expressing high risk may witness comparatively more damage (impact) during any future flood event. Thus, there is a need of planned interventions (structural and non-structural) to minimise the emergent risk.

Very rare attempts have been made to bring theoretical models of disaster research in practice; this is mainly because of the complexities associated with the data (selection, availability and subjectivity), methodology (integration, quantification) and resolution (spatial scales). In this direction, this work is expected to have considerable impact, as it provides a clear foundation to overcome such issues for the studies aiming at disaster risk assessment. Furthermore, using varied primary and secondary data, this paper demonstrates the relative (municipal wards) flood risk status of the Srinagar city, which is one of the key aspects for flood hazard mitigation.

This paper aims to investigate how employees’ perceptions of psychological contract violation or sense of organizational betrayal, might diminish their job satisfaction, as well as how their access to two critical personal resources – emotion regulation skills and work-related self-efficacy – might buffer this negative relationship.

Two-wave survey data came from employees of Pakistani-based organizations.

Perceived contract violation reduces job satisfaction, but the effect is weaker at higher levels of emotion regulation skills and work-related self-efficacy.

For organizations, these results show that the frustrations that come with a sense of organizational betrayal can be contained more easily to the extent that their employees can draw from relevant personal resources.

This investigation provides a more complete understanding of when perceived contract violation will deplete employees’ emotional resources, in the form of feelings of happiness about their job situation. A sense of organizational betrayal is less likely to escalate into reduced job satisfaction when employees can control their negative emotions and feel confident about their work-related competencies.

The purpose of this study is to investigate the impact of COVID-19 on conventional and Islamic stocks by using the data spanning from February 25, 2020, to February 3, 2021, and employing a panel regression approach.

In this study a panel regression approach has been used.

The study finds a negative association between COVID-19 and stock (both Islamic and conventional). After splitting the data into 1st and 2nd waves, the relationship between COVID-19 and stock (both Islamic and conventional) remains the same (negative) in the case of the 1st wave. In contrast, in the case of the 2nd wave, the relationship turned out to be positive. During both waves of the pandemic, the magnitude of the effect is found to be higher for conventional stocks. Additionally, the study also analyzes the aggregate influence of COVID-19 on different sectors and finds that commercial banks, oil and gas exploration and marketing companies are the most influenced sectors. At the same time, automobiles and pharma are the least affected sectors.

The study suggests that markets start gaining momentum to reach their prepandemic level after absorbing the initial shock (emergence of a pandemic). The study also provides thorough insights for market regulators and policymakers by implying the dynamic relations between markets (conventional and Islamic) and financial crisis, which would allow them more effective control of crisis in future endeavors.

This is one of the first studies to investigate the impact of COVID-19 on both conventional and Islamic stocks, especially in the context of Pakistan.

This paper investigates the role of psychological contract violation (PCV) as the antecedent of employee turnover intention. It also explores the role of job dissatisfaction and work disengagement as the sequential underlying mechanism of a positive effect of PCV on employee turnover intention.

Drawing on social exchange theory (SET), the authors postulate that PCV triggers negative reciprocity behaviour in employees, which leads to job dissatisfaction and work disengagement, which in turn develop into turnover intentions. The authors tested the research model on time-lagged data from 200 managers working in the banking sector of Pakistan.

The findings confirmed the hypothesis that employees experiencing PCV raise their turnover intentions because of a feeling of organisational betrayal which makes them dissatisfied and detached from their work.

This research advances the body of knowledge in the area of psychological contracts by identifying the mechanisms through which PCVs translate into employee turnover intentions.