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The associations between legume consumption and cardiovascular events (CVEs) have extensively been studied. However, there are few studies that considered longitudinal association between legume consumption (with repeated measurements across time) and CVEs in low-income countries where legume consumption is lower than the Western countries. The authors aimed to investigate the long-term longitudinal relationship between soybean, non-soybean and overall legume consumption and CVEs using repeated measures of legumes and time-varying confounders in a cohort study of the general population.

The current study was performed within the framework of the Isfahan cohort study among 5,432 healthy participants. The participants were followed-up for fatal and non-fatal myocardial infarction, unstable angina, fatal and non-fatal stroke and sudden cardiac death for 13 years. Dietary intake was evaluated using a validated food frequency questionnaire in 2001, 2007 and 2013. The hazard ratios (HRs) and 95% confidence intervals (CI) for CVEs between categories of soybean, non-soybean and overall legumes intake were examined using marginal Cox's regression analysis.

Long-term consumptions of overall legumes more than three times per week and non-soybean three times or more per week compared with those who had less than once a week were associated with 19.5% (HR = 0.805, 95% CI: 0.650,0.998; p < 0.048) and a 18.5% (HR = 0.815, 95% CI: 0.673, 0.988; p < 0.037) lower risk of CVEs in the general population, respectively. However, our findings revealed no significant reduction in CVEs following a higher intake of soybeans.

In the long run, even modest consumption of legumes, but not soybeans alone, can be effective to reduce CVEs risk in a low-income population. Further studies are warranted to confirm our results in other populations, examine the associations by the type of cardiovascular events and determine any possible threshold effects in this regard.

This paper aims to propose a new method for evaluating the success of the recommender systems based on customer history, product classification and prices criteria in the electronic commerce. To evaluate the validity of the model, the structural equation modeling technique is employed.

A method has been suggested to evaluate the impact of customer history, product classification and prices on the success of the recommender systems in electronic commerce. After that, the authors investigated the relationship between these factors. To achieve this goal, the structural equation modeling technique was used for statistical conclusion validity. The results of gathered data from employees of a company in Iran is indicated the impact of the customer history on the success of recommender systems in e-commerce which is related with the user profile, expert opinion, neighbors, loyalty and clickstream. These factors positively influence the success of recommender systems in ecommerce.

The obtained results demonstrated the efficiency and effectiveness of the proposed model in term of the success of the recommender systems in the electronic commerce.

In this paper, the effective factors of success of recommender systems in electronic commerce are pointed out and the approach to increase the efficiency of this system is applied into a practical example.

The purpose of this paper is to test a model in which family-supportive organizational environment is associated with lower levels of turnover intention through higher levels of work-family enrichment and job satisfaction.

Based on a sample of 300 employees, the bootstrap procedure for estimating indirect correlations in multiple mediator models was used to test the research hypotheses.

The results suggest that employees experiencing high levels of family-supportive organizational environment are likely to report lower intention to leave their profession by virtue of their higher levels of job satisfaction and work-life enrichment.

The study is limited to public organization and sample size. Further research is needed to make comparison between large/state-owned and small/private organizations.

In the Iran context, work-family enrichment and job satisfaction are effective in reducing the employees' turnover intention. Organizations should show concerns for the employees' work-life enrichment and job satisfaction to reduce their turnover intention.

Turnover is one of the problems of organizations in many countries throughout the world including Iran, which has negative consequences through increasing the cost of organizations. The results of this study suggest ways in which staff retention could be improved.

The present study contributes to supportive organizational environment literature by addressing the relationship between family-supportive organizational environment and employee-related outcomes. Given some commonalities between Iran and other developing countries, the findings might be of potential interest in comparative studies dealing with the employees' turnover issue.

The purpose of this study was to develop and psychometrically evaluate a tool to measure nurses’ knowledge of, attitude toward and practice regarding the elder abuse phenomenon.

This study is methodological research that was conducted in two stages. In the first stage, the available tools related to knowledge, attitude and practice regarding elder abuse were identified through an extensive review of theoretical principles, previous research and related articles. The initial items were extracted and categorized. In the second stage, the psychometric properties of the tool were examined by assessing face validity, content validity, construct validity, internal consistency and stability. Four hundred nurses working in the hospitals of Shahid Beheshti University of Medical Sciences were selected to determine the validity of the structure.

The initial tool consisted of 114 items extracted, 34 of which were removed according to the experts’ opinions. The face validity of the 80-item questionnaire was then examined. The number of the items was reduced to 74 after measuring the face validity. After the qualitative measurement of the content validity, three items were eliminated. After measuring the content validity using a quantitative approach, 8 other items were removed and 63 items remained. According to the content validity index, 1 more item was removed, reducing the number to 62. The construct validity approved three dimensions of knowledge, attitude and practice. Cronbach's alpha coefficient was calculated to be 0.84. The stability was also confirmed through test–retest with a value of 0.85 for the whole scale.

The tool developed for assessing nurses’ knowledge, attitude and practice regarding elder abuse has acceptable dependability and credibility. Given the advantages of this tool, including the simplicity and fluency of sentences, and the comprehensive evaluation of nurses’ knowledge, attitude and practice regarding elder abuse, it is recommended to use this tool in relevant future studies.

The purpose of this paper is to determine patterns of sexual behaviors and related factors among prisoners in Iran, 2015.

This cross-sectional study was a part of a bio-behavioral surveillance survey conducted on 6,200 prisoners in 26 prisons in Iran. The subjects were selected through multi-stage sampling. Questionnaires and interviews were used to collect data on participant’s demographics and history of sexual behaviors. Using STATA-12 software, the collected data were analyzed through descriptive statistics, and crude and adjusted logistic regression.

A total of 5,508 prisoners with a response rate of 88.8 percent participated in this study. Of all prisoners, 55 percent (n=3,027) had a history of “unsafe sex in the lifetime” of whom 53.4 percent (n=1,549) never used condoms during unsafe sex in the lifetime. Based on the results of multivariate analysis, risk factors for “unsafe sex in lifetime” were the following: higher level of education (AOR=1.79, CI: 1.41–2.28), being single (AOR=1.32, CI: 1.18–1.47), unemployed before imprisonment (AOR=1.45, CI: 1.06–1.97), having history of previous imprisonment (AOR=1.31, CI: 1.17–1.47) and history of drug use in the lifetime (AOR=1.53, CI: 1.35–1.75).

Prisoners are high-risk groups that are prone to practice unsafe sex. Prisoners who are single, unemployed before imprisonment, a drug user, with a higher level of education and with a history of imprisonment are likely to be sexually active in their lifetime. Thus, they are a priority for receiving suitable interventions.

Movies critics believe that the diversity of Iranian cinematic genres has decreased over time. The paper aims to answer the following questions: What is the impact of the continuous cooperation between the key nodes on the audience's taste, uniformity of the cinematic genres and the box office? Is there any relationship between the importance of actors in the actors' network and their popularity?

In the artistic world, artists' relationships lead to a network that affects individuals' commercial or artistic success and defines the artwork's value. To study the issue that the diversity of Iranian cinematic genres has decreased over time, the authors utilized social network analysis (SNA), in which every actor is considered a node, and its collaboration with others in the same movies is depicted via edges. After preparing the desired dataset, networks were generated, and metrics were calculated. First, the authors compared the structure of the network with the box office. The results illustrated that the network density growth negatively affects box office. Second, network key nodes were identified, their relationships with other actors were inspected using the Apriori algorithm to examine the density cause and the cinematic genre of key nodes, and their followers were investigated. Finally, the relationship between the actors' Instagram follower count and their importance in the network structure was analyzed to answer whether the generated network is acceptable in society.

The social problem genre has stabilized due to continuous cooperation between the core nodes because network density negatively impacts the box office. As well as, the generated network in the cinema is acceptable by the audience because there is a positive correlation between the importance of actors in the network and their popularity.

The novelty of this paper is investigating the issue raised in the cinema industry and trying to inspect its aspects by utilizing the SNA to deepen the cinematic research and fill the gaps. This study demonstrates a positive correlation between the actors' Instagram follower count and their importance in the network structure, indicating that people follow those central in the actors' network. As well as investigating the network key nodes with a heuristic algorithm using coreness centrality and analyzing their relationships with others through the Apriori algorithm. The authors situated the analysis using a novel and original dataset from the Iranian actors who participated in the Fajr Film Festival from 1998 to 2020.

The purpose of this paper is to study what motivates small businesses to engage in collective action, especially in high-tech industry.

Application domain is smart living industry, in which installation companies offer ICT-enabled solutions for smart home services. A survey was conducted among 140 small/medium installation companies in smart living industry which are members of a major Dutch branch organization. Structural Equation Modelling (SEM) was used to model and analyse data from the survey.

The paper found that different types of motivations do not significantly increase the collective orientation of small businesses. Moreover, the current involvement of small companies in smart living projects is not directly related to their collective orientation.

The lack of collaboration is resulting in market fragmentation and lack of technological interoperability. The paper advise policy makers to provide selective incentives to stimulate collaboration and to facilitate knowledge sharing on best practices and collective business cases.

The motivational factors for collective action between small businesses in high-tech sectors have rarely been studied. Although many studies addresses collective action issues on an individual level, the literature lacks an integration of existing theories into a set of testable hypotheses that aim at motivators and inhibitors of inter-organizational collective action.

The purpose of the current study is to explore the potential possibility of acceleration in recognition, remedial process of heart disease and continuous electrocardiogram (ECG) signal acquisition. The textile-based ECG electrode is prepared by inkjet printing of activator followed by electroless plating of nickel (Ni) particle.

The electrical resistance shows a range of around 0.1 Ω/sq, which sounds quite proper for ECG signal acquisition, as the potential difference according to heart activity on skin surface is in milivolt range. Surface modifications of Ni–phosphorus (P)-plated polyester fiber were studied by scanning electron microscopy, energy dispersive X-ray spectroscopy and X-ray diffractionmethods. The quality of the acquired signal from printed square-shaped sensors in two sizes with areas of 9 and 16 cm2 compared with the standard Ag/Agcl electrode using commercial ECG with the patient in the sitting position.

Comparison of these data led to the consideration of small fabric sensor for better performance and the least disturbance regarding homogeneity and attenuation in electric field scattering. Using these types of sensors in textile surface because of flexibility will provide more freedom of action to the user. Wearable ECG can be applied to solve the problems of the aging population, increasing demand for health services and lack of medical expert.

In the present research, a convenient, inexpensive and reproducible method for the patterning of Ni features on commercial polyester fabric was investigated. Printed designs with high electrical conductivity can be used as a cardiac receiving signals’ sensor.

The purpose of this study is to investigate the factors affecting behaviour intention (BI) to use and actual usages of investment-related FinTech services among the zoomers (Gen Z) and millennials (Gen M) retail investors of India.

The study explores the predictive relevance of actual adoption behaviour among the two different age categories of Indian retail investors. It uses the Unified Theory of Acceptance and Use of Technology-2 and the prospect theory framework as guiding frameworks. Data has been collected from 294 retail investors, actively engaged in the investment-related FinTech services. The multi-group analysis using variance-based partial least square structured equation modelling has been used to compare the two groups. The invariance between the two groups was achieved through measurement invariance assessment.

The study reveals distinct factors significantly affecting BI to use investment-related FinTech services among Gen Z and Gen M retail investors are performance expectancy (PE) to BI, perceived risk (PR) to BI, price value (PV) to BI and PR to service trust (ST).

This study provides insights for financial providers and policymakers, emphasizing different factors influencing BI to use investment-related FinTech services in both age groups. Notably, habit emerges as a common factor influencing the actual usage of investment-related FinTech services across Gen M and Gen Z retail investors in India.

This study explores the heterogeneous behaviour of the heterogenous population in the domain of technological adoption of investment-related FinTech services in India.