Construction emissions have become a major concern that has risen extensively in the last few decades. This paper introduces a building information modeling (BIM)-based model to evaluate the environmental and economic consequences of different project alternatives. The model calculates direct, indirect emissions and primary energy for the overall project life cycle. A hybrid fuzzy multi-objective non-dominated sorting genetic algorithm II (NSGA-II) problem is designed to model the uncertainties associated with the quantification of the judging attributes, and consequently to find the most sustainable materials by minimizing the objective functions; project duration, project life cycle cost, project overall emissions and total project primary energy. Finally, TOPSIS is applied to select the most sustainable material for each construction component among the set of Pareto optimal solutions. A case study of an academic building in Saudi Arabia is presented in order to exemplify the practical features of the proposed model.

A series of novel 10-phenylsulfonyl-2-substituted-4,10 dihydrobenzo[4,5]imidazo[1,2-a]pyrimidin-4-one derivatives obtained from N-sulfonation of 2-substituted-pyrimido[1,2-a]benzimidazol-4(10H)-ones and screened for for their in vitro anti-tuberculosis activities against Mycobacterium tuberculosis H37Rv by Microplate Alamar Blue Assay (MABA) method. The structures were established on the basis of their IR, ¹H-NMR, ¹³C-NMR, ESI-MS data and also the compound with 3f were crystallized and analysed by single crystal X-ray diffraction studies.

The six GCC states share similar economic, geographic and socio-cultural characteristics and also face with similar challenges in terms of energy perspective. This study plans to focus on the eco-nomic and energy efficiency of the six GCC states. In the process, the study ranks the GCC states in terms of their efficiency scores. These efficiencies are computed through Data Envelopment Analysis. The economic efficiency is calculated for all six GCC states. Capital and labor are the inputs and GDP is the output. In this survey, Saudi Arabia maintains the highest efficiency score of 0.94, closely followed by Qatar (0.92), Kuwait (0.89), Bahrain (0.83), Oman (0.81) and UAE (0.67). There is a huge gap between the economic efficiency scores of Saudi Arabia and UAE. The environmental efficiency scores are calculated using CO2 emissions as output and electric power consumption and energy as input. Again, the highest efficiency score is for Saudi Arabia (0.91) followed by Oman (0.87), Kuwait and Bahrain have a tie for the 3rd position with a score of 0.74. Finally, the laggards are UAE (0.65) and Qatar (0.62). Again, there is a huge gap between the best and the worst performers. The case of two countries is worth mentioning. Qatar is ranked second in terms of economic efficiency while it was ranked sixth in terms of economic efficiency. Oman was ranked fifth in terms of economic efficiency while it was ranked second in terms of environmental efficiency. Finally, an average of economic and environmental efficiency are taken to compute the composite index. Saudi Arabia has the first place followed by Oman, Kuwait, Bahrain, Qatar and UAE.

Nowadays, process optimization has been an interest in engineering design for improving the performance and reducing cost. In practice, in addition to uncertainty or noise parameters, a comprehensive optimization model must be able to attend other circumstances which might be imposed in problems under real operational conditions such as dynamic objectives, multi-responses, various probabilistic distribution, discrete and continuous data, physical constraints to design parameters, performance cost, computational complexity and multi-process environment. The main goal of this paper is to give a general overview on topics with brief systematic review and concise discussions about the recent development on comprehensive robust design optimization methods under hybrid aforesaid circumstances. Both optimization methods of mathematical programming based on Taguchi approach and robust optimization based on scenario sets are briefly described. Metamodels hybrid robust design is discussed as an appropriate methodology to decrease computational complexity in problems under uncertainty. In this context, the authors’ policy is to choose important topics for giving a systematic picture to those who wish to be more familiar with recent studies about robust design optimization hybrid metamodels, also by attending real circumstances in practice. In particular, production and project management are considered as two important methodologies that could be improved by applications of advanced robust design combining with metamodel methods.

The purpose of this study was to analyse the effects of profit volatility (X1), income smoothing (X2), corporate governance (X3), and non-performing financing (X4) on profit quality (Y) of sharia banks in Indonesia. The samples of this study were 10 sharia commercial banks in the period of 2012-2018 with 66 panel data that had been tested for outliers and normality. This study used a purposive sampling method, and it used the classical assumption tests, namely multicollinearity, autocorrelation, heteroscedasticity, and normality tests. This study used panel data regression analysis. The results of the study showed that profit volatility was detrimental to profit quality as evidenced by a beta coefficient of 0.0929 and the significance level of 0.1100, income smoothing was detrimental to profit quality as evidenced by a beta coefficient of -0.015 and the significance level of 0.1009, corporate governance had a negative influence on profit quality as evidenced by a beta coefficient of 0.0468 and the significance level of 0.293, non-performing financing was detrimental to profit quality as evidenced by a beta coefficient of -0.0096 and the significance level of 0.9139. The predictive ability of the four variables on profit quality was 16.34% while the remaining 83.66% was influenced by other factors not included in the research model.

In this work, the Fe₃O₄@SiO₂@AMBI/Cu nanocatalyst was synthesized and used as a well-organized magnetic nanocatalyst for the click reaction. This nanocatalyst has effectively catalyzed the cyclization of terminal alkynes and sodium azide with aryl iodide/benzyl halide for the formation of 1,4-disubstituted 1,2,3-triazoles under mild reaction conditions with good to high yields in low reaction time.

Social commerce is an effective instrument for enterprises aiming to expand their customer base and enhance revenues. By mastering the implementation of social media platforms (SMPs) and surmounting the accompanying hurdles, brands may achieve significant achievements in social commerce. The article investigates the impact of social commerce information sharing (SCIN) on purchase intention and perceived risk in Turkey. This examines the influence of SCIN on customer relationship quality (CRQ) dimensions, including brand trust, commitment, and satisfaction. The study precisely intends to investigate the mediating of CRQ dimensions in the relationship between SCIN and purchase intention. The study also examines the mediator role of perceived risk in the relationship between SCIN and purchase intention. Also, the study examines how online reviews moderate the relationship between SCIN and customer outcomes such as purchase intention and perceived risk. The current study employs a sample of 314 participants from Turkey to explore the relationship between SCIN, brand trust, commitment, satisfaction, purchase intention, and perceived risk. The proposed conceptual model is tested using the Structural Equation Modeling-AMOS statistical approach. The results show that SCIN strongly predicts perceived risk, purchase intention, and CRQ dimensions, such as brand trust, commitment, and satisfaction. Furthermore, the study reveals that perceived risk does not directly mediate the relationship between SCIN and purchase intention. Instead, it confirms that purchase intention is a significant consequence of CRQ dimensions and perceived risk. The results also indicate that online reviews do not moderate the relationship between SCIN and customer outcomes, such as perceived risk and purchase intention. In summary, this study underscores the pivotal role of SCIN in influencing the decision-making process of Turkish customers, particularly in the context of making purchases. The findings carry significant practical implications for marketers of SMPs aiming to influence Turkish consumers, providing valuable insights to enhance their strategy in the Turkish market.

This study examines the impact of entrepreneurial orientation (EO) dimensions on the apparel industry's export performance. EO considers as innovativeness, proactiveness, and risk-taking dimensions. The determinants of export performance are firms' financial, strategic, and satisfaction levels of performance. A cross-sectional survey is carried out by providing a questionnaire to high-level managers and owners of the MLEs. Primary data of 339 treated by partial least squares (PLS-SEM) technique examines EO dimensions' impact on export performance. The findings of this study revealed that innovativeness and proactiveness positively and significantly impact export performance. However, risk-taking dimension does not affect export performance.

This work focusses on the crack growth behaviour of the compact tension specimen under mixed-mode loading, and numerical investigation using ANSYS Mechanical APDL 19.2 extended finite element software with different loading angles. The fatigue life is predicted under constant amplitude fatigue loading using the Paris’ law. The predicted values of the fatigue life in the present study provide consistency with the experimental and numerical results. In addition, the study showed that the direction of crack growth follows the same literature trend of experimental results. According to the results of the crack growth path, there is no effect of changing the geometries thicknesses on the crack growth trajectory. Its only effect is the resistance to higher plastic deformation which decreases as the thickness increases.

A constant concern of academic institutions has been to improve the customer satisfaction in university libraries. The service quality within academic library context is pivotal for satisfying customers by meeting the customers’ needs to create loyalty amongst customers. This research uses LibQual to analyze the gap between customer’s perception and expectation, concerned with the services at the University Sultan Zainal Abidin (UniSZA) Library. There are six dimensions in service quality; namely general services, search for materials, library collection, staff, environment and environment, considered for this empirical research. The purpose of this paper is to 1) know service quality dimensions that satisfy the customers and 2) to observe the impact of service quality on customer satisfaction. The research methodology is carried out using a questionnaire survey distributed among 170 samples through simple random sampling. The data obtained was analyzed by using covariance-based structural equation modeling and importance-performance analysis. The results suggest that quality of service had a significant impact on customer satisfaction. Among the service quality dimensions, library environment and general service were viewed as high importance and strong performance index. Implication for research and practice resulting from these findings were also discussed.