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The purpose of this paper is to examine the dynamical behavior of a combined three-story building with a 3D panel wall system including a soft story irregularity at the very first floor by doing a shaking table test. The upper two stories of the model were made out of the 3D panel system, while the first story was constructed only with moment-resisting RC frames.

Besides the experimental program, the numerical finite element method was implemented for the verification of the experimental results. In the experimental study, the building responses including the floors’ accelerations and drifts were considered, and the seismically vulnerable zones were reported and compared with that provided by the implemented FEM-based program.

After the shaking table test, the major cracks appeared at the end of each column and beam-column connections. Some negligible cracks were also visible around the beam-panel connections. However, no crack was seen in the upper stories. The lateral deformation of the studied building was investigated under the applied ELC25 and NGH135 earthquakes. Under the both aforementioned ground motion records, the first story drift was larger than two upper stories, since the moment-resisting frame was a soft story. The hysteretic relation between the shear and displacement for each story was studied. Under the applied ELC25 earthquake, the system remains linear and the stiffness of each story is obtainable as well.

This is the first time when the dynamical behavior of a combined system is studied and tested experimentally and numerically for data validation. Regarding the response of the assumed combined structure, the 3D panel system has a remarkable rigidity with respect to the conventional RC frames, also 3D panels have less weight than the moment-resisting frames.

The purpose of this paper is to provide a method to predict the situation of a loaded element in the compressive stress curve to prevent failure of crucial elements in load-bearing masonry walls and to propose a material model to simulate a compressive element successfully in Abaqus software to study the structural safety by using non-linear finite element analysis.

A Weibull distribution function was rewritten to relate between failure probability function and axial strain during uniaxial compressive loading. Weibull distribution parameters (shape and scale parameters) were defined by detected acoustic emission (AE) events with a linear regression. It was shown that the shape parameter of Weibull distribution was able to illustrate the effects of the added fibers on increasing or decreasing the specimens’ brittleness. Since both Weibull function and compressive stress are functions of compressive strain, a relation between compressive stress and normalized cumulative AE hits was calculated when the compressive strain was available. By suggested procedures, it was possible to monitor pretested plain or random distributed short fibers reinforced adobe elements (with AE sensor and strain detector) in a masonry building under uniaxial compression loading to predict the situation of element in the compressive stress‒strain curve, hence predicting the time to element collapse by an AE sensor and a strain detector. In the predicted compressive stress‒strain curve, the peak stress and its corresponding strain, the stress and strain point with maximum elastic modulus and the maximum elastic modulus were predicted successfully. With a proposed material model, it was illustrated that the needed parameters for simulating a specimen in Abaqus software with concrete damage plasticity were peak stress and its corresponding strain, the stress and strain point with maximum elastic modulus and the maximum elastic modulus.

The AE cumulative hits versus strain plots corresponding to the stress‒strain curves can be divided into four stages: inactivity period, discontinuous growth period, continuous growth period and constant period, which can predict the densifying, linear, non-linear and residual stress part of the stress‒strain relationship. By supposing that the relation between cumulative AE hits and compressive strain complies with a Weibull distribution function, a linear analysis was conducted to calibrate the parameters of Weibull distribution by AE cumulative hits for predicting the failure probability as a function of compressive strain. Parameters of m and θ were able to predict the brittleness of the plain and tire fibers reinforced adobe elements successfully. The calibrated failure probability function showed sufficient representation of the cumulative AE hit curve. A mathematical model for the stress–strain relationship prediction of the specimens after detecting the first AE hit was developed by the relationship between compressive stress versus the Weibull failure probability function, which was validated against the experimental data and gave good predictions for both plain and short fibers reinforced adobe specimens. Then, the authors were able to monitor and predict the situation of an element in the compressive stress‒strain curve, hence predicting the time to its collapse for pretested plain or random distributed short fibers reinforced adobe (with AE sensor and strain detector) in a masonry building under uniaxial compression loading by an AE sensor and a strain detector. The proposed model was successfully able to predict the main mechanical properties of different adobe specimens which are necessary for material modeling with concrete damage plasticity in Abaqus. These properties include peak compressive strength and its corresponding axial strain, the compressive strength and its corresponding axial strain at the point with maximum compressive Young’s modulus and the maximum compressive Young’s modulus.

The authors were not able to decide about the effects of the specimens’ shape, as only cubic specimens were chosen; by testing different shape and different size specimens, the authors would be able to generalize the results.

The paper includes implications for monitoring techniques and predicting the time to the collapse of pretested elements (with AE sensor and strain detector) in a masonry structure.

This paper proposes a new method to monitor and predict the situation of a loaded element in the compressive stress‒strain curve, hence predicting the time to its collapse for pretested plain or random distributed short fibers reinforced adobe (with AE sensor and strain detector) in a masonry building under uniaxial compression load by an AE sensor and a strain detector.

The purpose of this paper is to focus on the influences of residual stresses which were induced during roll-forming sections on lateral-torsional buckling of thin-walled cold-formed steel channel and built-up I-sections beams. Built-up I section is made up of two back-to-back cold-formed channel beams. In this direction, at the primary stage, the roll-forming process of a channel section was simulated in ABAQUS environment and the accuracy of the result was verified with those existing experiments. Residual stresses and strains in both longitudinal and circumferential transverse directions were extracted and considered in the lateral-torsional buckling analysis under uniform end moments. The contribution of the current research is devoted to the numerical simulation of the rolling process in ABAQUS software enabling to restore the remaining stresses and strains for the buckling analysis in the identical software. The results showed that the residual stresses decrease considerably the lateral-torsional buckling strength as they have a major impact on short-span beams for channel sections and larger span for built-up I sections. The obtained moment capacity from the buckling analysis was compared to the predictions by American Iron and Steel Institute design code and it is found to be conservative.

This paper has explained a numerical study on the roll-forming process of a channel section and member moment capacities related to the lateral-torsional buckling of the rolled form channel and built-up I-sections beams under uniform bending about its major axis. It has also investigated the effects of residual stresses and strains on the behaviour of this buckling mode.

The residuals decrease the moment capacities of the channel beams and have major effect on shorter spans and also increase the local buckling strength of compression flange. But the residuals have major effect on larger spans for built-up I sections. It could be seen that the ratio of moment (with residuals and without residuals) for singly symmetric sections is more pronounced than doubly symmetric sections. So it is recommended to use doubly symmetric section of cold-formed section beams.

The incorporation of residual stresses and strains in the process of numerical simulation of rolled forming of cold-formed steel sections under end moments is the main contribution of the current work. The effect of residual stresses and strains on the lateral-torsional buckling is, for the first time, addressed in the paper.

This study examines the moderating effects of low and high levels of voluntary disclosures (VDs) between corporate governance and information asymmetry (IA).

The study used PROCESS macro to construct bootstrap confidence intervals at the 95% level to estimate the model, and “simple slope analysis” to visualize the model.

The better corporate governance provides a monitoring mechanism that disseminates private information and reduces IA. The effect of corporate governance on IA is contingent on the levels of VDs within a firm, and this relationship is strengthened when the level of VDs within a firm is high, and results remain consistent when levels of sub-indices are high. Additional analysis reveals that effective boards and audit committees reduce IA. Increased inside, an associated company, family and foreign ownership exacerbate IA, whereas institutional owners act as effective monitors to overcome informational disadvantages.

The findings provide implications for policymakers to promote corporate governance and more relevant reporting practices as effective mechanisms for protecting shareholders' rights and attenuating IA in capital markets.

The study is valuable to understand the strength of the relationship between corporate governance and information asymmetries based on the moderating role of different VD levels.

This paper aims to examine the impact of corruption and money laundering (ML) on the profitability and stability of Islamic banks.

This study used the data of 53 conventional and 19 Islamic banks of Pakistan and Malaysia to have comparative insights. The empirical methods include the fixed effect and random effect regression and generalized methods of moment for robust results.

The results indicate that Islamic banks gain from corruption and ML. Corruption and ML affect bank profitability and stability positively in a less corrupt environment, i.e. Malaysia; however, corruption hurts Islamic banks’ performance, and ML favours Islamic banking profitability and stability in a more corrupt environment, i.e. Pakistan.

The present study pioneers the debate on corruption and ML related to Islamic banking profitability and stability. This study provides important insights to regulators and Shariah advisors to build a real model of Islamic banking.

This paper aims to assess the impact of the training program on fish traders in building awareness about formalin abuse in food items.

Primary data was collected from the fish traders in Bangladesh by using simple random sampling technique. Binary logistic regression was used to assess the opinions of the fish traders about training in building awareness of formalin abuse.

This study showed that the training of the fish traders played a positive role in improving their awareness level of formalin abuse.

Enhancement of both training and educational support could be an effective strategy in preventing formalin abuse in food.

This study helps in assessing the opinions of the fish traders about the effectiveness of the training programs in building awareness of formalin abuse.

The chapter aims to investigate the link between COVID-19 and Islamic finance, investigating how Islamic countries respond to the impact of the pandemic and how Islamic banks have responded in consideration of their financial statements. The study proposes a novel perspective based on thematic analysis of blogs and newspapers to validate the relevant literature. Moreover, the documentary analysis will allow researchers to investigate Islamic banks' financial statements. We find that Islamic countries have used extraordinary Sukuk issuances both at government and cross-border level. Moreover, traditional instruments such as the Zakat have been converted for even more social uses. Concerning the literature, we find that there have been temporary tax suspensions and commodity supply measures to deal with the pandemic crisis's uncertainty. Finally, financial statements analysis reveals prudent behaviour with decreases in profits aimed at increasing risk provisions. The results provide theoretical evidence to researchers and practical evidence to policymakers, public policy investors and citizens.

This study aims to explore the Islamic accounting literature and attempts to identify the worldwide research trends of accounting for Islamic financial institutions.

This study adopts a mixed review approach combining the bibliometric method with content analysis. Consulting Scopus database, the authors collect 195 documents (articles and reviews) relative to the Islamic accounting field from 1982 to 2020. VOSviewer, RStudio (biblioshiny) and Excel analysed the data.

The study revealed the influential scientific actors in the Islamic accounting field, categorising the intellectual structure into seven streams: accounting for Waqf, accounting for Zakat, Shariah auditing, corporate Shariah governance and screening, accounting for different modes of Islamic financing, education and ethics. The study further provides future research directions for researchers.

The findings highlight the efforts of academicians, researchers and practitioners in this emerging field. This effort provides awareness to different stakeholders on Islamic accounting, which will lead to better stewardship, accountability and information-based decision in line with Islamic economic principles.

This study is among the first Islamic accounting bibliometric papers that would help researchers stand on a firm basis concerning the development of the literature in this scientific domain.

Institutional changes, in a historical context, through simultaneous evolutionary and metamorphic processes either deform or reform long-enduring institutions. The chapter delves into the Persian history from the early days of the reign of Nāṣer al-Dīn Shāh-e Qājār in 1848 to the recent years and traces Persian institutions' historical transformations, which culminated to the Persian women entrepreneurship. Thus, the chapter first sets the historical context in each period and then sheds light on the pivotal issues of each period's women. The undergirding base of the discussions is the assumption of the change in institutions as natural metamorphosis in the animate. Finally, the discussions contribute to the conceptualization of the Institutional Triangulation and in the case of Persia, a cultural-driven triangulation, which has paved the way to the formation of a stupendously hegemonic patriarchal and masculine sociopolitical economy in Persia, that has historically affected women's institutionalization, subjugation, subordination, marginalization, socialization, emancipation, and most recently Islamization phases.

This study aims to examine how audit committee (AC) attributes influence quality and quantity disclosure of energy consumed by the listed nonfinancial firms for the period of five years (2016–2020). The study aims at providing empirical evidence on how board of director’s independence influences the relationship between AC attributes and firms’ energy in achieving sustainable development goals (SDGs) on world climate policy.

The study obtained data from a sample of 83 listed nonfinancial firms, content analysis technique was used to compute energy disclosure indexes using global reporting initiative standards, while regression analysis was conducted to test the relationship among research variables.

The study revealed that AC independence, diversity and meetings were significantly related with energy disclosure. Also, the study found that other variables were insignificantly related with energy disclosure.

The study is constrained for not considering all listed firms in the country. Furthermore, the study considered selected attributes, other important audit-committee size attributes such as audit-committee size, audit-committee size tenure could be study in by the future study.

The study’s findings would have practical implications for corporations and other business organizations seeking to actively involve the energy-related SDGs 7 and 13 in their business models and successfully communicate these efforts to stakeholders.

To the best of author’s knowledge, this is the first study that provides empirical evidence on the effect of AC attributes on the energy disclosure using effect of board independence as moderator in Nigeria.