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Family violence is a universal problem which is beginning to grow to a significant scale in Syria. Although it has existed for a long time, the actual characteristics of this scourge in our country are not known. The main aim of this study was to evaluate the family violence in Syrian society.

This work consisted of an epidemiological approach to domestic violence in Syria during the year 2010. A questionnaire had been developed which is used for the study of the socio-demographic profile of families and the study of violence in the family. This study has been conducted on a survey of 365 women.

The analysis of the results reveals the following characteristics: 16% of the women in the sample were victims of physical violence. The youth is a risk factor for these women, the age range most affected by violence (45%) is that of women aged between 20 and 40 years. Violence affects all social, economic, and cultural classes; anger is an aggravating factor of domestic violence; in fact, 27.3% of spouses who assaulted their wives were in an angry state.

The violence in the family is a very sensitive issue and very common, but the exact prevalence of violence in the family is not known. Therefore, the violence in the family is underdiagnosed. An urgent response plan is needed to reduce the spread of this scourge and its consequences.

This paper aims to investigate the in vivo hypocholesterolemic property of fenugreek proteins (FP), Purafect-fenugreek protein hydrolysate (PFPH) and Esperase-fenugreek protein hydrolysate (EFPH) on high cholesterol (HC)-fed rats.

Rats were randomized into five groups: four were fed for four weeks a hypercholesterolemic diet and the tested products were given by gavage. The fifth group was taken as control (C) receiving the same diet without cholesterol.

Results showed that the elevated aspartate aminotransferase activity in HC group plasma was significantly corrected by FP and EFPH administration (−33 per cent; p = 0.0003). HC liver lipids and total cholesterol (TC) contents were not markedly affected by FP and EFPH. However, liver triglycerides (TG) contents trended to decrease in FP rats vs HC (p = 0.07), while, the TG decrease was significant in groups fed the proteins hydrolysates (p = 0.02). On the other hand, serum TC and TG decreased by 53 per cent (p = 0.0003) and 20 per cent (p = 0.04), respectively, in FP treated rats compared to HC group. This decrease was associated with a high fecal cholesterol excretion (2.5-fold higher in FP vs HC; p = 0.0001). Likewise, EFPH-treated rats exhibited lower TC compared to HC rats (p = 0.004). The very low density lipoprotins was the main affected fraction in these two groups, while there were no significant difference in apolipoproteins (Apo) B, A-I and A-IV contents between the different groups, except in FP group, where Apo A-I and A-IV decreased by 26 and 17 per cent, respectively, compared to C rats (p = 0.02). The high density lipoproteins (HDL) of rats treated with proteins hydrolysates showed a better antioxidant property compared to those of HC rats, which was accompanied with an increase in paraoxonase activity when compared to HC group.

Unlike PFPH which had almost no effect, FPs and EFPH could constitute a nutraceutical ingredient in cardiovascular disease management.

The purpose of this paper is to understand the effect of two types of reciprocity (restricted reciprocity and generalized reciprocity) on customers’ trust in social commerce (s-commerce) and trust performance (purchase intention and word-of-mouth intention). Furthermore, this study examines how individual and contextual moderators (personal shopping experience and community shared language) could impact the trust development process.

This study adopted a survey method and obtained data from 287 users in a customer-to-customer (C2C) s-commerce platform. Structural equation modeling was used to examine the research hypotheses.

The results demonstrate that two types of reciprocity positively affect trust in s-commerce. Customers’ trust performance is significantly affected by trust in s-commerce. Additionally, shopping experience in s-commerce is found to positively moderate the relationship between restricted reciprocity and trust in s-commerce.

The findings help to understand the nature and role of reciprocity in influencing trust and trust-related behaviors in the context of C2C s-commerce. The research also helps to explore the individual and contextual moderators that impact the effect of reciprocity on trust development.

The results offer a comprehensive view of trust building strategies for s-commerce practitioners, including shoppers, vendors and managers of s-commerce platforms.

This study is among the first few research studies that offers a theory-based conceptualization of reciprocity in C2C s-commerce and provides empirical support for the impact of reciprocity on customers’ trust in C2C s-commerce. In addition, this study devises a broader view of reciprocity based on restricted and generalized exchange principle to represent the interaction of vendor–shopper and shopper–shopper, respectively.

This study aims to examine the effect of socio-demographic, lifestyle and dietary factors on body composition among students from a private Lebanese University.

In this cross-sectional study, socio-demographic and lifestyle variables were collected. Height and waist circumference were measured. Inbody 720 (Biospace, Korea) was used to assess body composition (percentage body fat [PBF], visceral fat area [VFA], skeletal muscle mass [SMM]) and fitness score. Diet was assessed using the MEDFICTS (meats, eggs, dairy, fried foods, fat in baked goods, convenience foods, fats added at the table and snacks) questionnaire.

Out of 392 students, 3.1 per cent were underweight, 59 per cent were normal and 40 per cent were overweight and obese. In women,10.5 per cent adhered to the therapeutic lifestyle changes (TLC) compared to men (2.5 per cent), while 52.5 per cent of men needed dietary changes compared to 39.5 per cent of women, (p < 0.01). The most important predictors of PBF were being a woman, older age, lower fitness score and lower MEDFICTS score. The predictors of VFA were being a man, older age, less sleep time and lower fitness score. Being a man, smoking, higher fitness score and higher MEDFICTS score were predictors of SMM.

Upon university acceptance and as part of usual health screenings in universities, the authors’ study recommends screening of lifestyle and dietary habits of students, identifying students at risk and providing appropriate health interventions tailored to students’ needs.

This study is the first, in Lebanon, to assess the effects of sleep, stress, fitness and dietary habits on body composition of Lebanese university students.

Instagram is a social media platform that has quickly evolved from a photo-sharing application to a successful marketing tool. It holds various business opportunities, and its rapid growth helps showcase the business offerings. Its innovative use of adverts entices clients, and its visual nature complements the social media marketing strategy. Thus, looking at the dynamic nature and growth of the platform, this chapter outlines the past research trends in the literature of Instagram marketing as the primary objective. This structured review undertakes the study of 76 articles based on defined inclusion and exclusion criteria and analyzes the literature in different contexts. This chapter includes the hybrid review (narrative and framework-based), and findings from the literature highlight a significant influence of Instagram marketing on users. During the brief description of the literature in a different context, the numerous research gaps are outlined with future research directions based on the ADO framework. Lastly, it also presents a broader overview of the managerial and theoretical implications based on the literature of Instagram marketing.

The relationship between adherence to a Mediterranean diet and reduced mortality or a lower incidence of major chronic diseases has been widely studied. The purpose of this study was to assess the adherence of a Lebanese adult sample to the Mediterranean diet.

This cross-sectional dietary survey involved a Lebanese population sample aged 19 to 70 years. A total of 615 men and women were asked to fill a diet history questionnaire (144 items), assisted by trained nutrition research assistants. Data were analyzed and compared to the Mediterranean diet recommendations, and the Mediterranean diet score, a ten-point scale based on above and below median levels of consumption, was estimated.

There was no significant difference in terms of adherence between men and women participants below the age of 30 years, while women over 30 years had a poorer score than men within this age group. The surveyed sample was found to have a 4.2 Mediterranean diet score and, thus, has a low adherence to the Mediterranean dietary pattern. Consumption of fruits, vegetables, dairy products, legumes and nuts of this Lebanese sample met the Mediterranean diet recommendations, while whole grains, poultry and fish consumption was lower than the recommended Mediterranean diet intake, and meat consumption was found to be much higher than what was recommended.

Facing the fast increase in non-communicable disease incidence, and with a more spread Western-type culture, it is central to raise awareness about the role of traditional Mediterranean diet in preventing and protecting against these diseases. This study contributes to the limited literature on the adherence to the Mediterranean diet in Lebanon.

The internet creates ample opportunities to start a mobile social commerce business. The literature confirms the issue of customer trust for social commerce businesses is a challenge that must be addressed. Hence, this study aims to examine the antecedents of trust in mobile social commerce by applying linear and non-linear relationships based on partial least squares structural equation modeling and artificial neural network model.

This study applied a non-linear artificial neural network approach to provide a further understanding of the determinants of trust in mobile social commerce based on a non-linear and non-compensatory model. Besides, a questionnaire was distributed to 340 social commerce customers in Malaysia.

The conceptual framework for investigating trust in mobile social commerce has various advantages and contributions to predicting consumer behavior. The results of the study showed there is a positive and significant relationship between social support, presence and unified theory of acceptance and use of technology2 (UTAUT2). In addition, UTAUT2 has fully mediated the relationship between social support, presence and trust in social commerce. Finally, the results concluded the relationship between UTAUT2 and trust in social commerce would be stronger when the diffusion of innovation and innovation resistance is high and low, respectively.

The current study provides a novel perspective on how customers can trust social m-commerce to provide real solutions to managers of encouraging e-marketing among consumers.

This paper shows how businesses can develop trust in social m-commerce in Malaysian markets. The findings of this study probably could be extended to other businesses in Asia or other countries. Because trust in social e-commerce has a dynamic role in consumer behavior and intention to purchase.

This study provided a new perspective on mobile social commerce and paid more attention to an investigation of such emerging commerce. The originality of this study is embodied by investigating an integrated model that included different theories that presented new directions of trust in mobile social commerce through social and behavioral determinants.

Innovative modern technologies are utilised in the hospitality and tourist industry to attract prospective consumers. Travel vlogs have emerged as a type of visual travel blog which includes information regarding tourist destinations, accommodation, cuisine, touristic activities, mode of accessibility, etc. The current study aims to investigate the influence of vlogger credibility on triggering the tourist intention to visit an eco-tourism destination.

The present study is a quantitative study, and it was conducted by surveying 218 respondents. A structured, close-ended and self-administrated questionnaire was used to collect data from the respondents.

The findings indicated that vlogger trustworthiness, expertise and attractiveness significantly impact Bangladeshi tourists' intention towards visiting an eco-tourist destination.

The present study has several theoretical and practical contributions. Theoretically, the research framework illustrated how the vloggers' trustworthiness, expertise and attractiveness on Bangladeshi tourists' visit intention to eco-tourist destinations. Practically, tourism industry practitioners, particularly destination marketers, will get benefit from the present study.

The purpose of this paper is to examine the effect of flow experience on users’ social commerce intention.

Based on the 287 valid responses collected from a survey, structural equation modeling was used to examine the research model.

The results indicated that social interaction, which includes human–computer interaction and human–human interaction, has a significant effect on the flow experience, which in turn affects social purchase and social sharing intention.

The results imply that companies need to facilitate social interaction to improve users’ experience and promote their social commerce intention.

Although prior research has examined social commerce user behaviour from multiple perspectives such as trust, perceived value and technological perceptions, it has focused on the effect of cognitive beliefs and neglected the effect of affective beliefs such as flow experience. This research tries to fill the gap.

Claims have become an inseparable part of construction projects across the world. Construction claims often tend to result not only in time and cost overruns but in case of a dispute arising from the claim, it may result in erosion of the brand value and the working relationship between the parties. Thus, construction claim prediction is important but is complicated because of a large number of dependent factors and the complex inter-relations between them. With the aid of machine learning techniques, claim tenability assessment for real estate projects in India is attempted in this paper.

In this research, artificial neural network (ANN) and decision tree models are used for assessment of claims in the Indian real estate sector using project and claims data from 275 real estate projects.

The developed ANN model assesses the claim tenability in a project with a high degree of accuracy. Both ANN and decision tree models identify that “inconsistency between drawings and specification” as the most influencing factor in claim tenability assessment.

Notwithstanding the claim tenability assessment, the model, in its current form, cannot be used to predict the “extent of claim” in the real estate projects.

Claim tenability assessment in real estate projects, especially in India, is scantily discussed in literature. This research, by adding to the body of knowledge, helps in both claim assessment and identification of factors that need to be controlled to reduce the claim tenability in real estate construction projects in India.