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This paper aims to evaluate the students’ perception of their learning experiences concerning serious gaming and gamification instructions and determines whether they were motivated enough and engaged during the educative process in a resource-poor context. Moreover, the study evaluated the impact of interactive instructional environment outcomes in terms of students’ perceptions of the learning catalysed by gamified systems, particularly in enhancing attitude change coupled with knowledge acquisition.

This study used a qualitative research design technique to collect the data. A total of 108 first year secondary school students participated in a sexual health literacy course that lasted for a five-week learning period. Using a cluster-sampling technique, three classes were randomly assigned to serious gaming, gamification and teacher-centred instructions. Individual face-to-face interviews were used to assess students’ perceives required satisfaction with three instructions. Data were audio-recorded, and coding analysis was used using NVivo software facilitated qualitative data analysis.

The results show that serious gaming and gamification instructions trumped the traditional teacher-centred instruction method. While intervention students were all positive about the serious gaming and gamification instructions, non-intervention students were negative about conservative teacher-centered learning whose limited interactivity also undermined learning relative to the two innovative interventions.

As a justification to limit face-to-face classes, this study may be useful during an emergency phenomenon, including the current situation of amid COVID-19. The implementation of serious gaming and gamification as remotely instructional options could be among the measures to protect educational communities through reducing close-proximity, and eventually, control contamination and the spread of viruses.

The application of serious gaming and game elements should not be conceptualised as universal but context-specific. This study shows that particularism is essential to optimise the results in terms of coming up with a specific design based on the scope of evaluation for positive results and develop an intervention that will work, especially in the resource-poor context of the developing world.

This paper aims to provide a predictive framework of customer churn through six stages for accurate prediction and preventing customer churn in the field of business.

The six stages are as follows: first, collection of customer behavioral data and preparation of the data; second, the formation of derived variables and selection of influential variables, using a method of discriminant analysis; third, selection of training and testing data and reviewing their proportion; fourth, the development of prediction models using simple, bagging and boosting versions of supervised machine learning; fifth, comparison of churn prediction models based on different versions of machine-learning methods and selected variables; and sixth, providing appropriate strategies based on the proposed model.

According to the results, five variables, the number of items, reception of returned items, the discount, the distribution time and the prize beside the recency, frequency and monetary (RFM) variables (RFMITSDP), were chosen as the best predictor variables. The proposed model with accuracy of 97.92 per cent, in comparison to RFM, had much better performance in churn prediction and among the supervised machine learning methods, artificial neural network (ANN) had the highest accuracy, and decision trees (DT) was the least accurate one. The results show the substantially superiority of boosting versions in prediction compared with simple and bagging models.

The period of the available data was limited to two years. The research data were limited to only one grocery store whereby it may not be applicable to other industries; therefore, generalizing the results to other business centers should be used with caution.

Business owners must try to enforce a clear rule to provide a prize for a certain number of purchased items. Of course, the prize can be something other than the purchased item. Business owners must accept the items returned by the customers for any reasons, and the conditions for accepting returned items and the deadline for accepting the returned items must be clearly communicated to the customers. Store owners must consider a discount for a certain amount of purchase from the store. They have to use an exponential rule to increase the discount when the amount of purchase is increased to encourage customers for more purchase. The managers of large stores must try to quickly deliver the ordered items, and they should use equipped and new transporting vehicles and skilled and friendly workforce for delivering the items. It is recommended that the types of services, the rules for prizes, the discount, the rules for accepting the returned items and the method of distributing the items must be prepared and shown in the store for all the customers to see. The special services and reward rules of the store must be communicated to the customers using new media such as social networks. To predict the customer behaviors based on the data, the future researchers should use the boosting method because it increases efficiency and accuracy of prediction. It is recommended that for predicting the customer behaviors, particularly their churning status, the ANN method be used. To extract and select the important and effective variables influencing customer behaviors, the discriminant analysis method can be used which is a very accurate and powerful method for predicting the classes of the customers.

The current study tries to fill this gap by considering five basic and important variables besides RFM in stores, i.e. prize, discount, accepting returns, delay in distribution and the number of items, so that the business owners can understand the role services such as prizes, discount, distribution and accepting returns play in retraining the customers and preventing them from churning. Another innovation of the current study is the comparison of machine-learning methods with their boosting and bagging versions, especially considering the fact that previous studies do not consider the bagging method. The other reason for the study is the conflicting results regarding the superiority of machine-learning methods in a more accurate prediction of customer behaviors, including churning. For example, some studies introduce ANN (Huang et al., 2010; Hung and Wang, 2004; Keramati et al., 2014; Runge et al., 2014), some introduce support vector machine ( Guo-en and Wei-dong, 2008; Vafeiadis et al., 2015; Yu et al., 2011) and some introduce DT (Freund and Schapire, 1996; Qureshi et al., 2013; Umayaparvathi and Iyakutti, 2012) as the best predictor, confusing the users of the results of these studies regarding the best prediction method. The current study identifies the best prediction method specifically in the field of store businesses for researchers and the owners. Moreover, another innovation of the current study is using discriminant analysis for selecting and filtering variables which are important and effective in predicting churners and non-churners, which is not used in previous studies. Therefore, the current study is unique considering the used variables, the method of comparing their accuracy and the method of selecting effective variables.

Despite the well-known positive effects of fruits and vegetables, their consumption in many countries is lower than those recommended. This study aims to systematically examine the effects of community-based interventions on fruits and vegetables consumption in adults.

To collect relevant publications, the authors searched electronic databases including PubMed/MEDLINE, Scopus and Web of Science from January 2000 to July 2021. Considering random models, this study analyzed the data using weighted mean differences (WMD) and 95% confidence intervals (CI).

Among 1,621 retrieved publications, 21 articles met the inclusion criteria. The overall effect size demonstrated that, at the end of the trials, the educational interventions increased the consumption of aggregated fruits and vegetables (WMD: 0.55 serving/day, 95%CI: 0.34, 0.77), and vegetables (WMD: 0.15, 95%CI: 0.09, 0.21, I2: 33.2%; p = 0.103) in the intervention groups, compared to the control groups.

The subgroup analyses that were based on the type of interventions (face-to-face education compared to online interventions), location (home-based compared to the other types of interventions) and duration (24 weeks and higher) of interventions, and accompanied financial support reduced between-group heterogeneity. An efficient interventional program on increasing fruits and vegetables consumption should be part of a multi-component project.

To the best of the authors’ knowledge, no systematic review and meta-analysis has provided a summary of the effects of community-based interventions on fruits and vegetables consumption in adult populations, and there is no fixed conclusion that could be drawn in this regard.

The onset of a crisis demands that businesses respond quickly and effectively. So, it might be helpful to examine the effect of business model innovation and how to increase its impact on better crisis management. This study aims to discuss the aforementioned objectives.

The present study is applied in terms of aim and a quantitative descriptive survey regarding the data collection method. The structural equation model with the partial least squares approach and Smart PLS 3 software was used for the structural analysis of the questionnaire.

The findings revealed that business model innovation could lead to better crisis management. In addition, the components of entrepreneurial capability, resilience and business performance played a mediating role.

Some factors may mediate the effect of business model innovation on crisis management. Thus, future research can investigate them and identify their impact.

The present study suggests that managers should re-examine business model processes and make them innovative to improve crisis management.

The present study examines the factors that affect crisis management with an emphasis on innovation, assesses the impact of mediating factors in this regard and attempts to provide a model to facilitate better crisis management.

The purpose of this paper is to present a computational fluid dynamic simulation for the investigation of the particles segregation phenomenon in the gas–solid fluidized beds.

These particles have the same size and different densities. The k–ε model and multiphase particle-in-cell method have been utilized for modeling the turbulent fluid flow and solid particles behaviors, respectively. The coupled equations of the velocity and pressure have been solved by using a combination of SIMPLE and PISO algorithms. After validating the simulation, different mixing indices, with different calculation bases, have been investigated, and it has been found that the Lacey mixing index, which was defined based on statistical concepts, is suitable to investigate the segregation/mixing phenomena of this bed in different conditions. Finally, the effects of parameters such as velocity, particle density ratio, jetsam concentration, and initial arrangement on the segregation/mixing behaviors of the bed have been studied.

The results show that the increase in the superficial gas velocity decreases the mixing index to a minimum value and then increases this index in the beds with mixed initial condition, unlike the beds with separated initial condition. Moreover, an increase in the particle density ratio increases the minimum fluidization velocity of the bed, and also the amount of segregation, and increase in the jetsam concentration increases the value of the mixing index.

A computational fluid dynamics simulation has been presented for the particles segregation phenomenon in the gas–solid fluidized beds.

Health-related issues are widely covered in news agencies by medical and health journalists. The quantity, format and quality of their coverage influence the general public as well as policymakers and professions. Current studies and observations suggest that news agencies are more dominated by medical topics (disease, symptoms, epidemiology, treatment and medicines) than general public health issues (risk prevention, health protection, education and promotion). This study explores the causes of the current situation in Iran and generates solutions for supporting health-promoting media that may also prove beneficial for other countries.

A qualitative study was conducted to explore the coverage of health-related topics in selected news agencies. Stakeholders, including health journalists, health professionals and public relations staff at the Iranian Ministry of Health and Medical Education were interviewed. Data were collected until data saturation was reached. The transcripts of all the 17 interviews conducted were analyzed using conventional content analysis.

Four groups of causes were identified, including individual factors, organizational factors, socioeconomic factors and the different nature of medicine and public health. The participants proposed several solutions that were classified into three categories, including the empowerment of stakeholders through capacity development, organizational change and mutual communication and culture change.

Creating health-promoting media is a complex but urgent task, and providing a comprehensive and deep understanding of the dynamic interdependencies of the multiple factors at play in it and developing and implementing the most effective interventions for it requires a systematic approach.

The aim of this paper is to examine gender role attitudes between Christian and Muslim college students towards 11 most heatedly debated cliches in Lebanon that concern equal access of men and women to political and social spheres including employment.

A three‐way MANOVA (gender by religion by class) was conducted on gender role items. Correlation of religiosity were performed between Christian and Muslim college students to explore associations between religiosity and gender role attitudes among respondents.

Main effects were found among respondents, with females consistently holding less gendered attitudes than males; hence attesting to the universality of gender role attitudinal differences. The gender by religion interaction showed that Christian respondents and Muslim females documented less “traditionally demarcated” gender roles in social and public domains than Muslim males. Furthermore, class appeared to be a weak predictor of gender beliefs compared to the impact gender and religion had on gender role attitudes. Finally, correlation results showed that religiosity was associated with traditional gender roles.

While the temptation is strong to generalize the attitudes of college students to the general public in Lebanon, the present study recognizes that its findings are only a mild reflection of gender role attitudes in Lebanon since it was exclusively limited to college students.

Comparing gender role attitudes between Lebanese Muslim and Christian college students is of particular importance to academics, public citizens and policymakers interested in the removal of gender inequalities.

Scarcely any research in the Arab World compared gender role attitudes among Arabs, particularly between Christian and Muslim samples.

The purpose of this paper is to present an overview of functional properties of the polysaccharide-based component and their application in developing edible film and coating for the food processing sector.

In this review study, approximately 271 research and review articles focusing on studies related to polysaccharide-based components and their film-forming properties. This article also focused on the application of polysaccharide-based edible film in the food sector.

From the literature reviewed, polysaccharide components and components-based edible film/coating is the biodegradable and eco-friendly packaging of the materials and directly consumed by the consumer with food. It has been reported that the polysaccharide components have excellent properties such as being nontoxic, antioxidant, antimicrobial, antifungal and with good nutrients. The polysaccharide-based edible film has lipid and gas barrier properties with excellent transparency and mechanical strength. In various studies, researchers worked on the development of polysaccharide-based edible film and coating by incorporating plant based natural antioxidants. This was primarily done for obtaining improved physical and chemical properties of the edible film and coating. In future, the technology of developing polysaccharide-based edible film and coating could be used for extending the shelf life and preserving the quality of fruits and vegetables at a commercial level. There is more need to understand the role of edible packaging and sustainability in the food and environment sector.

Through this review paper, possible applications of polysaccharide-based components and their function property in the formation of the edible film and their effect on fruits, vegetables and other food products are discussed after detailed studies of literature from thesis and journal article.

Although, smartphones have facilitated users to keep their personal information, nonetheless, less has been investigated about factors affecting personal information management (PIM) practices. Therefore, this study aims to investigate how personal innovativeness, perceived ease of use (PEOU) and mobile self-efficacy affect PIM (e.g. finding/re-finding, keeping, organizing and maintaining) practices.

Quantitative research design was used in this study. The authors collected data from 222 students of information management from public sector universities using a questionnaire. PLS modeling technique was used to analyze data.

The authors noted that personal innovativeness significantly impacts finding/refinding information, whereas it insignificantly affects keeping, organizing and maintaining information practices. In addition, smartphone PEOU significantly influences information finding and refinding, information keeping and organizing information, whereas insignificantly influences information maintaining. Moreover, mobile self-efficacy was noted to be significantly associated with finding and refinding information, information keeping, information organizing and information maintaining.

This research is an important contribution to the body of existing literature, as it proposed an integrated model based on constructs extracted from Technology Acceptance Model (TAM), Social Cognitive Theory, personal innovativeness and PIM. This study also has practical significance because the findings of this study would be helpful for smartphone application developers and LIS school directors to design programs for information literacy.