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Cracks are prevalent signs of pavement distress found on highways globally. The use of artificial intelligence (AI) and deep learning (DL) for crack detection is increasingly considered as an optimal solution. Consequently, this paper introduces a novel, fully connected, optimised convolutional neural network (CNN) model using feature selection algorithms for the purpose of detecting cracks in highway pavements.

To enhance the accuracy of the CNN model for crack detection, the authors employed a fully connected deep learning layers CNN model along with several optimisation techniques. Specifically, three optimisation algorithms, namely adaptive moment estimation (ADAM), stochastic gradient descent with momentum (SGDM), and RMSProp, were utilised to fine-tune the CNN model and enhance its overall performance. Subsequently, the authors implemented eight feature selection algorithms to further improve the accuracy of the optimised CNN model. These feature selection techniques were thoughtfully selected and systematically applied to identify the most relevant features contributing to crack detection in the given dataset. Finally, the authors subjected the proposed model to testing against seven pre-trained models.

The study's results show that the accuracy of the three optimisers (ADAM, SGDM, and RMSProp) with the five deep learning layers model is 97.4%, 98.2%, and 96.09%, respectively. Following this, eight feature selection algorithms were applied to the five deep learning layers to enhance accuracy, with particle swarm optimisation (PSO) achieving the highest F-score at 98.72. The model was then compared with other pre-trained models and exhibited the highest performance.

With an achieved precision of 98.19% and F-score of 98.72% using PSO, the developed model is highly accurate and effective in detecting and evaluating the condition of cracks in pavements. As a result, the model has the potential to significantly reduce the effort required for crack detection and evaluation.

The proposed method for enhancing CNN model accuracy in crack detection stands out for its unique combination of optimisation algorithms (ADAM, SGDM, and RMSProp) with systematic application of multiple feature selection techniques to identify relevant crack detection features and comparing results with existing pre-trained models.

Studying the shear stress and pressure resulting on the walls of blood vessels, especially during high-pressure cases, which may lead to the explosion or rupture of these vessels, can also lead to the death of many patients. Therefore, it was necessary to try to control the shear and normal stresses on these veins through nanoparticles in the presence of some external forces, such as exposure to some electromagnetic shocks, to reduce the risk of high pressure and stress on those blood vessels. This study aims to examines the shear and normal stresses of electroosmotic-magnetized Sutterby Buongiorno’s nanofluid in a symmetric peristaltic channel with a moderate Reynolds number and curvature. The production of thermal radiation is also considered. Sutterby nanofluids equations of motion, energy equation, nanoparticles concentration, induced magnetic field and electric potential are calculated without approximation using small and long wavelengths with moderate Reynolds numbers.

The Adomian decomposition method solves the nonlinear partial differential equations with related boundary conditions. Graphs and tables show flow features and biophysical factors like shear and normal stresses.

This study found that when curvature and a moderate Reynolds number are present, the non-Newtonian Sutterby fluid raises shear stress across all domains due to velocity decay, resulting in high shear stress. Additionally, modest mobility increases shear stress across all channel domains. The Sutterby parameter causes fluid motion resistance, which results in low energy generation and a decrease in the temperature distribution.

Equations of motion, energy equation, nanoparticle concentration, induced magnetic field and electric potential for Sutterby nano-fluids are obtained without any approximation i.e. the authors take small and long wavelengths and also moderate Reynolds numbers.

This study underscores the critical importance of knowledge management (KM) in the context of small and medium entrepreneurial firms (SMEFs) that aim to leverage their organisational learning capability (OLC) to enhance their product innovation performance (PIP). Drawing on the foundations of resource-based and contingency theories, this study delves into the impact of OLC on SMEFs' PIP through the intermediary role of KM, focussing on an emerging economy perspective. Additionally, this investigation explores how market dynamism (MDY) moderates the indirect connection between OLC and PIP via KM.

The study involved 262 SMEFs in Ghana, with data analysis conducted using PROCESS macros in SPSS 23.0 and LISREL 8.50.

This study's findings underscore the mediating role of KM in shaping the relationship between OLC and PIP. Furthermore, they reveal that, particularly in high MDY environments, the link between KM and PIP through KM is significantly strengthened.

The study clarifies that responding to MDY's demands is a complementary managerial capability enabling firms to channel their KM activities to improve PIP. Effectively, understanding the relationship between MDY and KM could substantially influence the policies and strategies managers adopt to improve PIP for organisational growth and survival.

This study extends the OLC–PIP research and contributes to the growing literature by offering a strong account of how OLC influences PIP and the prevailing boundary conditions that impact the KM-PIP relationship.

This research aims to examine how health consciousness, social identity, self-identity, trust and willingness to pay premium impact individuals’ intention to make green purchases, which in turn influences organic purchasing behavior. Additionally, the study tried to examine the moderating effect of willingness to pay premium.

Utilizing a purposive sampling approach, a questionnaire survey was used to gather information from 452 customers in India. The conceptual model was assessed, and the research hypotheses were examined using partial least squares structural equation modeling.

The results of this study showed that the intention to make green purchases is strongly influenced by consumers health consciousness, social identity and trust. However, self-identity did not influence consumers green purchase intention. Furthermore, the moderating effect of willingness to pay premium was significant, except for self-identity, in the relationship of health consciousness, willingness to pay premium social identity and trust with green purchase intention.

The research will help producers and marketers refine food and marketing tactics to promote a favorable perception of organic food products.

This study is pioneering in (1) investigating the moderating impact of willingness to pay premium (WLPP) in the relationship of health consciousness, social identity, self-identity and trust with green purchase intention and (2) investigating the influence of consumer identities on green purchase intention in the Indian context.

This research aims to develop and validate a framework for eradicating women’s discrimination in architectural design firms (ADFs) in Egypt and propose strategies for prospective adoption in the Gulf Cooperation Council (GCC) countries to increase the transformational impact of women on the architectural and urban developments of the Gulf region.

A combined qualitative and quantitative research approach was designed to accomplish four objectives. Firstly, to investigate the nature of business in ADFs, women’s discrimination and policies for gender equity (PGE) in architecture. Secondly, to analyse three case studies to validate the identified causes and impacts of women’s discrimination and examine the role of PGE towards eradicating women’s discrimination in ADFs. Thirdly, to conduct a survey questionnaire with a representative sample of ADFs to investigate their perception of women’s discrimination and the correlation between PGE towards eradicating women’s discrimination in ADFs. Based on the above, the research developed and validated a framework to eradicate women’s discrimination in ADFs in Egypt and suggested strategies for potential application in the GCC countries to increase the transformational role of women in the architectural and urban developments of the Gulf region.

Through literature review and case studies, the research identified and validated the causes and impacts of women’s discrimination as well as PGE in Architecture. The findings of data analysis showed that the highest-ranked causes of women discrimination in ADFs were “customs and beliefs” followed by “Underestimating women’s work” and “Recruiting males more than females”. Moreover, the highest-ranked impacts of women’s discrimination were “career shift and leaving the profession” followed by “decrease in creativity and innovation” and “decrease in economic growth”. Furthermore, the Spearman correlation test showed that while some PGE were correlated, others were not. These findings helped in the development of the proposed framework and proposed strategies.

This research presents a practical framework to eliminate women’s discrimination in ADFs in Egypt based on the findings of literature review, case studies and survey questionnaire. The framework explained in a workable way the objectives of the framework functions; activities; tools and techniques; involved personnel and needed resources as well as enforcing mechanisms. It was validated by a representative sample of ADFs in Egypt to ensure its practicability and viability and suggested strategies for implementation in the GCC countries to increase women’s role in architectural and urban development.

The research identified and validated the causes and impacts of women’s discrimination as well as PGE in Architecture. Moreover, the research investigated the perception of women’s discrimination and the correlation between PGE through conducting a survey questionnaire with a representative of ADFs in Egypt. The research tackled a topic that received scant attention in construction literature, especially in Egypt and the GCC countries. The research developed and validated a framework to eradicate women’s discrimination in ADFs in Egypt. It represents a synthesis that is novel and creative in thought and adds value to the knowledge in a manner that has not previously occurred. The research suggested several strategies for the prospective implementation of the framework in the GCC countries as an approach to enhancing the transformational role of women in the architectural and urban developments of the Gulf region.

This study investigates the influence of social media marketing (SMM) functionalities on perceived destination image (DI) and its dimensions, which in turn impact residents’ support for sustainable tourism development (SSTD). The study also examines the moderated mediation effect of the residency length and resident’s income in the indirect relationship between SMM and SSTD through the DI.

The best technique found appropriate for this study was the survey approach. To gather empirical data, people who currently reside in Alexandria completed 351 questionnaires via an online survey. The questionnaire was translated into Arabic while adhering to back-translation guidelines. SPSS and AMOS software were used to analyze the collected data.

It is found that there is a direct effect of SMM and its functionalities on overall DI and its dimensions. In addition, DI mediates the relationship between SMM and SSTD. These results hold valuable insights for academicians and practitioners in the tourism industry, potentially informing SMM strategies to support tourism activities.

This research introduces a novel framework emphasizing the functionalities of the SMM as a tool for enhancing both affective and cognitive DI and supporting sustainable tourism development. It contributes to the SMM and SSTD literature by examining the links between SMM functionalities and sustainable tourism development in emerging countries such as Egypt.

The key purpose of this study is to investigate the use of information and communication technologies (ICTs) among farmers in Qena Governorate of Upper Egypt farmers' use of ICTs in Qena Governorate, one of Upper Egypt's largest agricultural governorates.

A semi-structured questionnaire survey, as well as some personal interviews, was used to collect detailed information about farmers' use or non-use of ICTs. The study's participants included 131 farmers.

Respondents were mostly males who were married and had an average level of education and age. The majority of respondents had 26–30 years of work experience. The majority of them used ICTs for 4–6 h per day. All respondents used ICTs to learn about new agricultural products, increase land productivity, gather market information and learn about livestock. Mobile phones, social media and the internet were identified as the most useful and simple-to-use technologies by all respondents. Illiteracy, a lack of knowledge and awareness and the cost of CITs were discovered to have an impact on respondents' use of information.

The significance of this study stems from the hotly debated topic of the need to use technology tools in agriculture, whether for agricultural work or communication with others. ICTs provide a variety of new ways to communicate and exchange information and knowledge.

The global economic downturn has greatly impacted the construction industry and architectural design firms (ADFs). Social media, however, provides a strategic avenue to enhance the visibility and resilience of ADFs. This paper aims to develop a framework integrating social media as an innovative marketing approach for mitigating the impacts of the global economic downturn on ADFs in Egypt.

A qualitative and quantitative research approach was designed to accomplish four objectives. The literature review examined the global economic downturn and marketing ADFs. Three case studies investigated the role of social media in marketing ADFs during economic uncertainties. A survey questionnaire was conducted with a representative sample of ADFs to assess their perception and application of social media as a marketing approach. Based on the above, the research developed a framework integrating social media as a novel approach for marketing ADFs in Egypt to alleviate the impacts of the global economic downturn.

The research explored the causes and impacts of the global economic downturn, focusing on marketing strategies and the use of social media in promoting ADFs. Case studies demonstrated that ADFs that utilized social media effectively succeeded in navigating the economic downturn and enhancing market performance, reputation and profitability. Data analysis highlighted “generating leads” as the top marketing strategy, followed by “attracting potential clients.” “Instagram” emerged as the most widely used platform, with “analytics and reporting” identified as the most impactful tool. However, “limited resources” was recognized as the primary challenge in implementing successful social media marketing for ADFs in Egypt.

This research developed a practical framework to navigate the impacts of the global economic downturn on ADFs in Egypt based on the findings of a literature review, case studies and a survey questionnaire. The framework practically detailed the objectives of the framework’s functions, activities, tools and techniques, involved personnel, needed resources and implementation mechanisms.

The research examined the causes and impacts of the global economic downturn, with a focus on how ADFs in Egypt use social media as a marketing tool and identified the implementation challenges. The study, which fills a gap in construction literature, developed a framework to help ADFs mitigate the global economic downturn effects. The framework offers a practical solution to improve the resilience and marketing of ADFs in Egypt by providing new insights into the architecture and construction sectors and adding significant value to existing knowledge.

This paper aims to focus on the synthesis of the macrocyclic complexes (Cu and Zn) and their applications as anticorrosive materials in epoxy paint formulation for surface coating application.

A selected macrocyclic Cu(II) and Zn(II) complexes were prepared via template synthesis and characterized using Fourier transform infrared, thermal gravimetric analysis, scanning electron microscope, flexibility, hardness and adhesion of coating films prepared using epoxy paint.

The corrosion resistance of the epoxy-painted films was improved due to the incorporation of the Zn and Cu complexes into the formulation.

It was found that the metal complex-based formulation with Cu(II) and Zn(II) had outperformed the sample blank.