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Formwork design and construction for reinforced concrete buildings take significant time, effort and money. Construction procedures are time-consuming for designers and costly for the contractor. Poor engineering decisions have led to several workplace accidents in the construction industry. This paper aims to present an integrated building information modeling – genetic algorithm (BIM-GA) model to automate formwork design, 3D visualization and optimization.

Data are precisely extracted from a 3D structural model and used to optimize formwork design based on available formwork components and prices. Optimization models are made using GA approach. A library of 3D formwork components was modeled and stored using Revit. The optimized design solution thereafter would be visualized automatically in Revit to readily acquire formwork quantities schedules and shop drawings.

A case study illustrating the proposed approach demonstrated that using BIM will reduce formwork design, quantification and drawing time by more than 50% of the traditional approach with safer design and accurate results due to process automation and optimize cost for the given data.

This research introduces an innovative integrated BIM and GA model for the optimization and automation of slab formwork design, which has significantly benefited the construction industry. The utilization of GA in the optimization process allows for the attainment of an optimal formwork design, ultimately leading to a reduction in construction cost and time.

Introduction: Coronavirus-19 (COVID-19) global outbreak poses a danger to millions of people’s health and the uncertainty and financial prudence around the world. Without a doubt, the sickness will place a tremendous strain on healthcare systems, which existing or traditional-based treatments cannot adequately handle. Only intelligence derived from diverse data sources can provide the foundation for rigorous clinical and social responses that optimise the use of constrained healthcare resources, create tailored patient treatment plans, educate policy-makers, and accelerate clinical trials

Purpose: This chapter aims to incorporate innovative practices of artificial intelligence (AI) into local, national, and global healthcare systems that can save lives of people and as well helps in human capital management ways that may be deployed rapidly and effectively with minimal errors.

Methodology: AI technologies and tools play a crucial part in COVID-19 crisis response by assisting with the virus discovery, early detection, and the development of effective medications and therapies. In this chapter, significant issues related to COVID-19 and how they may be addressed by applying HRM practices with recent advances in AI. Also, through a literature review of the recent studies implemented in a similar context, an AI solution is proposed by formulating a conceptual model.

Findings: This chapter offers that the latest AI techniques can assist policy-makers in implementing modern human capital management practices to fight against COVID-19. The goal is to remotely monitor patients utilising gadgets that are embedded with state-of-the-art medical technology. To limit hospital visits, or at least cut them down to a minimum, on the one hand, the health clinic also wants to deliver reliable health information to the doctors before or during virtual consultations.

This paper aims to systematically review the literature on digital supply chain (DSC), big data (BD) and manufacturing lead time (MLT) in industrial companies.

This study provides a systematic review of the 99 research on this subject that was published between 2015 and 2022. Studies were found in the Scopus database. This review also identifies gaps in the literature, highlights conflicting results, examines prospective data sources for empirical researchers and offers suggestions for choosing promising research subjects in the future.

This study performed a thorough literature review to a developing field of inquiry in order to identify the impact of the digital supply chain, BD and manufacturing lean time, an area that has received little attention in the literature. Future pathways and ramifications are also offered based on the literature content search. The results showed that BD improves DSC performance through resilience and innovation of the DSC. MLT and DSC integration were found to be positively correlated, according to the results.

Although the production lead time is preferable to boost customer value and supply reliability, the long lead time hurts the DSC’s ability to compete. DSC integration also improves coordination and streamlines processes. The researchers suggest fostering organizational flexibility, information exchange to accomplish DSC integration and adaptable behaviors including responsiveness and alertness.

This study aims to investigate the connections between the adoption of technology, user experience (UX), financial transparency and accountability, specifically focusing on the moderating influence of cultural sensitivity in the Jordanian context.

This study gathered data from 272 participants who are working in the operational Islamic banks in Jordan. Partial least squares structural equation modeling (PLS-SEM) is used for the hypotheses testing.

The results indicate that cultural sensitivity plays a significant role in shaping the UX, consequently influencing perceptions of financial transparency and accountability in e-Islamic finance within the metaverse. This study underscores the intricate interplay between technological advancements, adherence to Sharia principles and diverse cultural expectations, forming the crux of the research.

This research brings a novel perspective by examining the complex connections among technology adoption, UX, financial transparency and accountability, specifically within the distinctive context of Jordan. This research study innovates by checking out how social sensitivity moderates these partnerships, specifically in the context of e-Islamic finance in the metaverse. It adds value to the academic area by shedding light on the intricate interaction between technological development, adherence to Sharia concepts and differing cultural expectations. Ultimately, this adds to a much deeper understanding of the multifaceted nature of this domain.

The purpose of this study is to successfully apply ultrasonic waves for the quick extraction of flax seed gum from flaxseed hull or whole seed and compare it to the standard technique of extraction.

The effect of the heating source, extracted time, temperature and pH of extracted solution on the extraction was studied. The obtained gum is subsequently used for silk screen printing on cotton, linen and viscous fabrics. Rheological properties and viscosity of the printing paste were scrutinized in the current study to get a better insight into this important polysaccharide. The output of this effort aimed to specify the parameters of the processes for printing textiles to serve in women’s fashion clothes by applying innovated handmade combinations of Islamic art motives using a quick and affordable method. Seven designs are executed, and inspiring from them, seven fashion designs of ladies’ clothes were designed virtually by Clo 3D software.

The result recorded that the new gum has excellent printing properties. In addition, they have better rheological properties, viscosity, chromatic strength and fastness qualities, all of which could help them in commercial production.

Flaxseed and three different fabric types (Cotton, Linen and Viscous) were used.

Synthesis of a new biodegradable thickener from a natural resource, namely, flaxseed, by applying new technology to save time, water and energy.

Synthesis of eco-friendly biodegradable thickener and used in textile printing alternative to the synthetic thickener.