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The purpose of the paper is to study the effects of cooking on proximate composition, amino acids, fatty acids, minerals and total, heme and non‐heme iron content of camel meat.

A total of ten longissimus thoracis muscles (500 grams) were collected between the tenth and twelfth ribs of the left side. Samples were randomly collected from two to three year old camel carcasses chilled (1‐3°C) for 48 hours then stored at −20°C. The first portion was kept fresh while the second one was placed in plastic bags and cooked by immersion in a water bath at 70°C for 90 minutes. Both samples were freeze‐dried, and then ground to a homogeneous mass to be used for chemical analyses.

Cooked samples had significantly (p<0.05) higher dry matter by 27.7 per cent, protein by 31.1 per cent and fat by 22.2 per cent, but lower ash content by 8.3 per cent than the raw ones. Cooking had no significant effect on amino acid and fatty acid composition of the meat. The components of camel meat most significantly affected by cooking were macro‐ and micro‐minerals, which ranged between 13.1 and 52.5 per cent, respectively. Cooking resulted in a significant decrease in total, heme and non‐heme iron contents by 4.3, 8.7 and 4.0 per cent, respectively.

The research is restricted to camel meat but it is an exploratory study. The issue of research outcome as only longissimus thoracic muscle is another limitation. Further investigation is needed to include different muscles, temperatures, durations and cooking methods.

Amino acids and fatty acids of camel meat are not affected by cooking, while heating accelerated total and heme iron oxidation suggest camel meat to be a rich source of heme iron.

The paper is original in its findings and useful for both researchers and academics in the field of meat science.

The purpose of this paper is to elucidate the influences of the animal fat and fatty acid type on the formation of polycyclic aromatic hydrocarbons (PAHs) and to propose a formation mechanism of PAHs in fat during electric roasting, which is a method of non-direct-contact-flame heating.

The effects of animal fats and model fat on the formation of PAHs were valued on the basis of the ultra high-performance liquid chromatography data. The corresponding products of the FAME pyrolysis were detected by TG-FTIR. The proposal formation mechanism of PAHs was based on the summary of the literature.

Contrary to the International Agency for Research on Cancer, DF had higher risk with 280.53 ng/g of concentration after being roasted than the others animal fats of red meat in terms of PAHs formation. This research also ensured the importance of fat on PAHs formation, the concentration of PAHs in pure fats was higher after being electric roasted than that in meat patties and juice which made from corresponding animal fat. What is more, during pure animal fats and meat products being processed, less PAHs formed in the fat with lower extent of unsaturation and lower content of linolenate. In the same way, methyl linolenate demonstrated the significant increasement to PAHs formation compared to the other fatty acids. And, the number of carbon atom and the extent of unsaturation in fatty acid affects the formation of PAHs during roasting. The detection of alkene and alkane allows to propose a formation mechanism of PAHs during model fat being heated. Further study is required to elucidate the confirm moleculars during the formation of PAHs.

This work studied the effect of the carbon atom number and the unsaturation extent of fats and model fats on the formation of PAHs. This work also assure the important of alkene and alkane on the pyrolysis of model fats. This study also researched the formation and distribution of PAHs in pure fats and meat products after being heated.

The concept of Islamic banking (IB) as a discipline and the introduction of the full-fledged Islamic banks and Islamic windows are relatively newer developments in the banking sector in Oman. This paper aims to assess customers’ perceptions of the Islamic banks and IB windows in Oman.

Following the interpretive paradigm and an exploratory research design, data collected through personal interviews with a group of 60 respondents in two of the prominent cities in Oman were analysed qualitatively.

The study found that customers in Oman had mixed feelings about the Islamic Banks. While some of them were not sure if the banks follow the Islamic principles, a majority of them had not opened an account with the Islamic banks or Islamic windows. The study revealed some vulnerabilities in the areas of their operations, marketing practices, staff knowledge of products and customer-dealings, as well as customers’ understanding of Islamic banks, their principles and practices.

As the advent of IB is relatively new to Oman, the insights gained by this study will have wider implications for the growth of IB locally. The outcomes of this study would appraise the officials and regulators of Islamic banks and Islamic windows with customers’ perception of IB. The elimination of the identified weaknesses would help them to improve the knowledge, quality and the marketing and promotion of products and services while competing with the conventional banks.

This study is a pioneering effort to know the status of IB and customers’ motivations in Oman towards IB.

The COVID-19 pandemic, and the responses to it that were required from frontline healthcare providers and others working in healthcare settings including environmental, clerical, and security staff, has challenged our healthcare systems in unprecedented ways. The threats to the financial, physical, and psychological well-being of healthcare professionals – many of whom entered the field due at least in part to a deep commitment to caring for and helping others – will have profound and long-lasting personal and professional impacts. Early in the pandemic response, healthcare professionals knew little about the risks they, their patients, and their loved ones faced from COVID-19 as they operated under crisis standards of care and without adequate supplies of personal protective equipment. As the pandemic response progressed, the lack of clear, science-based guidance, and the politicization of the pandemic presented new medical, ethical, and moral dilemmas. New psychological support mechanisms, including crisis counseling and evidence-based interventions, are needed for all workers in healthcare settings, regardless of their job role.

The purpose of this study is to examine the impact of the marketing mix, customer perceptions, and religion on the buying decision of Islamic banking products in an emerging market namely the United Arab Emirates (UAE).

This study adopts a quantitative approach to analyze the data of 435 respondents collected through an online survey during January–February 2022. Data analysis of direct and moderating relationships are done through Smart PLS (partial least squares) using structural equation modelling (SEM) technique.

The results indicate that marketing mix (product, price, place and promotion) and customer perceptions have a positive direct relation with the buying decision of Islamic banking products in the UAE. However, moderation analysis shows that religion is a non-significant moderator for the above relationships.

This study combines potential variables from the perspectives of marketing, human mindset, and individual beliefs. The findings of this study provide a wider understanding of consumer behavior toward Islamic banking products. Marketers of the Islamic banking industry can utilize these findings for effective market segmentation and well-crafted marketing strategies. This will ultimately contribute to the sustainable growth and development of the Islamic banking industry in the UAE and other regions.

While the Noble Quran dictates the prohibition of interest, conventional banks promote Islamic banking by opening Islamic banking windows. Against this backdrop, this study aims to investigate the perceived gaps between managers and clients in Islamic marketing and banking, focusing on conventional banks’ Islamic banking windows.

Guided by a qualitative approach, semi-structured personal interviews and observations served as the data collection methods, involving 25 banks and 50 respondents in 3 different districts, namely, Shirajganj, Rajshahi and Chapainawabganj of Bangladesh from January to October 2023. The data were analysed using ATLAS.ti 2023 to explore codes and quotations derived from 14 interview questions. Further, ATLAS.ti 2023 facilitated synthesizing content, concepts, code occurrence, network analysis and thematic analysis.

Islamic and non-Islamic banks use Quranic verses, hadiths (prophetic traditions), images of mosques, the Kaaba and Arabic texts as Islamic marketing tools. These spiritual, divine and prescriptive tools are associated with Islamic banking. However, conventional banks receive criticism for having separate Islamic banking windows to serve religiously conscious clients, which generates tension among clients and bank managers.

The findings can theoretically assist academics in examining conventional banks’ Islamic marketing and banking practices, opening Islamic banking windows. Importantly, Shariah boards can play policy roles in safeguarding the function of Islamic marketing and banking. Managers can use the findings to anticipate client perceptions and enhance Islamic marketing and banking strategies. Likewise, the social implications include the explicit stance of Shariah to mitigate the mixture of halal and haram banking.

This pioneering study explores the perspectives of Islamic banking windows by non-Islamic banks. The combination of Islamic marketing and banking is a noteworthy novelty in this study and deserves recognition for its unique contribution to halal marketing and finance.

Depressive symptoms are a risk factor for loneliness, while sources of perceived social support from family and friends are protective factors; however, the complex mechanisms behind these factors have not been examined among health-care employees in Portugal. The purpose of this study is to evaluate the indirect effect of perceived social support from family and friends on the association between depressive symptoms and loneliness.

Health-care employees (n = 279; 242 female and 37 male) from 12 health-care institutions in Portugal participated in this cross-sectional study. The SPSS program with PROCESS macro (Model 6) was used to test the hypothesis regarding the indirect effect analysis.

Bootstrap analysis found that family as a source of social support had an indirect effect in the relationship between depressive symptoms and loneliness. Similarly, depressive symptoms had a significant indirect effect on loneliness through the indirect role of social support from friends. Moreover, it was found that the relationship of family and friends as sources of social support mediated the association of the aforementioned variables.

The findings of this study underscore the important role of depressive symptoms on perceived social support from family and friends, leading to loneliness, which is a public health concern among health-care employees in Portugal.

This study aims to identify the impact of intellectual capital (IC) on the bank’s performance using a cross-country approach with India and Gulf Cooperation Council (GCC) countries using the Skandia navigator model (SNM).

This study uses a mixed-methods research approach by taking financial and non-financial measures to assess the impact of the IC on the bank’s performance using the SNM. The study implies an analysis of the data from the top ten banks in India and twenty banks in GCC countries. The selection was done based on the volume of the bank’s business for three years (2019–2020, 2020–2021 and 2021–2022).

The research has three main findings: there is a positive impact of IC on the bank’s performance; amongst the factors of SNM, there is a direct impact of human capital and customer focus on the performance of the selected banks in both India and GCC countries; and the other factors of SNM such as structural capital and process focus, renewal and development focus also affect the selected banks.

The outcomes of the research may be useful for policymakers in India and GCC countries, as it identifies IC components that have a significant impact on the bank’s performance. This might enable them to develop policies that foster such factors, which, consequently, will improve the performance of the banks in the selected countries.

This study is an attempt to fill the gap in the existing literature on IC and bank’s performance for two different types of countries using the SNM.

Islamic finance is becoming a core part of the financial services economy in the Middle East countries. There is a strong likelihood that Islamic finance is also driving the expansion of trade in insurance services. However, research on Islamic finance’s effect on trade in insurance services is scant. This study aims to fill this gap by investigating if Islamic finance has promoted trade in insurance services.

This study adopts the gravity modelling framework and the panel data estimation procedure in understanding the effects of Islamic finance on trade in insurance.

The empirical results reveal a statistically significant positive correlation of Islamic finance with the exports and imports of insurance services. Economic sizes (domestic and trading partners), growth in trading partners, cost of doing business, legal rights and financial freedom are other statistically significant determinants.

It makes a positive contribution to the Islamic financial services literature. Islamic finance is an integral part of the conventional banking and financial sector in the Middle East that actively fosters the expansion of insurance services that need support, given its essential role in services trade.

This study is unique as it directs attention to the role of Islamic finance in fostering trade in insurance services within an inclusive modelling framework that has been overlooked in the Islamic finance literature.

Nowadays, in many organizations, products are not delivered instantly. So, the customers should wait to receive their needed products, which will form a queueing-inventory model. Waiting a long time in the queue to receive products may cause dissatisfaction and churn of loyal customers, which can be a significant loss for organizations. Although many studies have been done on queueing-inventory models, more practical models in this area are needed, such as considering customer prioritization. Moreover, in many models, minimizing the total cost for the organization has been overlooked.

This paper will compare several machine learning (ML) algorithms to prioritize customers. Moreover, benefiting from the best ML algorithm, customers will be categorized into different classes based on their value and importance. Finally, a mathematical model will be developed to determine the allocation policy of on-hand products to each group of customers through multi-channel service retailing to minimize the organization’s total costs and increase the loyal customers' satisfaction level.

To investigate the application of the proposed method, a real-life case study on vaccine distribution at Imam Khomeini Hospital in Tehran has been addressed to ensure model validation. The proposed model’s accuracy was assessed as excellent based on the results generated by the ML algorithms, problem modeling and case study.

Prioritizing customers based on their value with the help of ML algorithms and optimizing the waiting queues to reduce customers' waiting time based on a mathematical model could lead to an increase in satisfaction levels among loyal customers and prevent their churn. This study’s uniqueness lies in its focus on determining the policy in which customers receive products based on their value in the queue, which is a relatively rare topic of research in queueing management systems. Additionally, the results obtained from the study provide strong validation for the model’s functionality.