Search results

Human health is strongly affected by diet. By the increased use of food industries products, public knowledge about health factors and side effects of chemical additives, the concepts of human health founded an important aspect during past years, and application of natural-based ingredients such as coloring, flavoring, texturizing and anti-oxidative agents was increased.

The aim of the present paper is to review the published scientific research studies about lycopene health benefits in different human disease or disorders and bold the necessity of study the health effects of lycopene after its formulation in food industrial products. About 190 papers were searched in Google Scholar, PubMed, Web of Science databases and 72 relevant papers were used. It was found that in medical studies, the lycopene oleoresin or powder is used directly to the subjects. However, it is necessary to study the effectiveness of lycopene in diet food products.

According to the literature, it has beneficial effects on cancers, glands, reproductive system, bone, gastric system, liver and fat reduction in the body. Also, it was concluded from the literature that lycopene oxidative cleavages make also its chemo protective effects which is a lost key element to study different food processing on lycopene products or its isomers in final food products and on human health.

Many ingredients in food formulations are substituted by natural products. Lycopene is a colorant but also, according to the literature, has a strong antioxidative and anti-inflammatory effect to reduce the risk of most important human disease and disorders. Future research in food science can emphasize the effect of different unit operations or formulations on lycopene effects on human health.

The purpose of this paper is to examine how digital literacy influences knowledge sharing and academic performance among graduate students in online learning environments.

Structural equation modeling via AMOS was utilized to test the research hypotheses in this cross-sectional study. Students’ digital literacy, their knowledge sharing, and their academic performance in online learning environments were surveyed by questionnaires. The sample of 330 graduate students was selected from a leading public university in Iran. Based on a stratified sampling approach, the recruited students answered questionnaires based on their degree level and field of study.

The results demonstrated that digital literacy was a positive and significant predictor of knowledge sharing and students' academic performance. Furthermore, the study revealed that knowledge sharing mediates the relationship between digital literacy and academic performance.

Our findings revealed that digital literacy positively and significantly predicts knowledge sharing and academic performance. This may be attributed to the fact that digital literacy is essential for developing digital learning in higher education. Conducting research on the antecedents and consequences of digital literacy in academic environments may prove attractive to future researchers.

Research on the influence of digital literacy on students’ knowledge sharing and academic performance in online learning environments is scarce. This study suggests that improving students’ digital literacy and knowledge sharing can enhance their performance in online learning environments, and it is a recommendation for university educators and educational technologists. Gaining insight into the influence of digital literacy on how students share knowledge and their academic achievements in virtual learning environments can have numerous managerial ramifications for administrators and instructors in higher education.

Increased dietary salt content is one of the effective factors of hypertension and a major public health challenge globally. Although the positive effects of dietary salt reduction on health are universally accepted, people can hardly reduce their salt intake. The purpose of this study is to identify the inhibitory factors of dietary salt reduction among 20–65-year-old women in Yazd City, Iran.

This study was conducted using a deductive content analysis approach based on the communication for the behavioral impact (COMBI) framework. The purposeful sampling method was applied with maximum variation in terms of different educational levels, age groups, occupational status and residential areas to select the participants. Snowball sampling was used to select health-care professionals. Furthermore, semi-structured interviews and focus-group discussions were conducted with 31 local women and 11 health-care professionals working in the City until data saturation was achieved. Data were analyzed using Graneheim and Landsman’s method.

After data analysis, 617 initial codes were extracted over the perceived barriers. After merging similar codes, 223 codes were extracted. The barriers were classified into five main categories of family, personal, organizational, educational and socio-cultural barriers.

Based on the COMBI framework, the results demonstrated that the most important barriers for reducing salt intake were negative attitude toward restrictions on dietary salt intake, insufficient and incorrect beliefs about the health risk of salt, lack of family support, inadequate health literacy and low self-efficacy in Yazd City. Among these barriers, lack of family support was considered as the most effective factor in reducing salt consumption. So, by focusing on this area and providing the community with the required education, the amount of salt consumed by families can be reduced.

Considering the direct impact of retailers' performance on the economy, this paper aimed to propose a comprehensive framework to evaluate the performance of different branches of a retailer.

Through a case study, the weights of indicators were calculated by the best-worst method (BWM) and the branches' performance was appraised using data envelopment analysis (DEA).

The branches were ranked in terms of performance, and sensitivity analysis and statistical tests were conducted to realize the weaknesses and strengths of the branches. Then, some strategies were proposed using strengths, weaknesses, opportunities and threats (SWOT) analysis to improve the performance of the weak branches.

This paper contributes to previous studies on the evaluation of retailers' performance by proposing a triple framework based on resilience, sustainability and sales-marketing indicators. This paper focused on branches' operations and branches' optimization by improving performance in terms of these three indicators. This paper also offers a qualitative and quantitative analysis of retailers' performance, which has received less attention in previous studies.

Established data revealed a relationship between obesity and increasing the risk of mortality and morbidity of chronic diseases. There are conflicting data regarding the association between adherence of dietary approach to stop hypertension (DASH) and obesity. Therefore, this study aims to investigate this relationship among a large sample of Iranian adults.

This cross-sectional study was performed by 10,693 individuals; 6750 individuals related to Yazd Health Study living in the urban area and 3943 individuals related to Shahedieh cohort study living in the suburb area. Dietary intake was evaluated by using a validated food frequency questionnaire. In all participants, anthropometric indices including body mass index were measured. The DASH score was considered using gender-specific quintiles of DASH items. To evaluate the relationship of DASH diet and obesity, multivariate logistic regression analysis was used.

By adjusting confounders, participants in highest quintiles of DASH diet were compared to the lowest have lower odds of obesity in suburb area (odds ratio [OR]: 0.78; 95% confidence interval [CI]: 0.63, 0.96), in urban (OR: 0.71; 95% CI: 0.52, 0.99) and in whole population of both studies (OR: 0.75; 95% CI: 0.63, 0.90). Besides, more compliance of women to this diet in urban (OR: 0.64; 95% CI: 0.48, 0.85) and population of both studies (OR: 0.77; 95% CI: 0.62, 0.96) were associated with reduced odds of central obesity.

Considering this study limitations, the following can be mentioned: in this cross-sectional study, the causal relationship between DASH diet and obesity could not be assessed. Consequently, further prospective studies are required in this area. Second, although a valid food frequency questionnaire was used, but there was a measurement error and an error in the classification of people participating in the study. Moreover, we cannot reject the possibility of residual confounding bias because unknown or unmeasured confounders may exist that affected our results. Finally, our participants with odds of obesity might have been advised to reduce their fat intake, which led them to alter their dietary habits. However, such possibility cannot be resolved in a cross-sectional study.

DASH dietary pattern could decrease odds of obesity in both urban and suburb area and central obesity in urban area only. Further prospective studies are needed for causal conclusion.

The purpose of this study is to develop a conceptual framework for defining the notion of “physical integration” regarding the Iranian bazaar as the main component in the structure of traditional Iranian cities. Applying this conceptual framework to the historical bazaars in the cities of Kerman and Shiraz, this study seeks to pave the way for restoring the physical integrity of such historical districts.

The research was conducted in two phases. First, there was a review of the theoretical background of physical integration followed by the analysis of the corresponding qualitative contents and the validation of the proposed conceptual framework as confirmed by 15 local experts. The second phase tested the validated framework in two case studies based on maps, historical documents and field observations.

The findings show that the physical integration of historical bazaars can be undertaken in morphological, visual-aesthetic and functional aspects. The proposed conceptual framework is capable of dealing with the different aspects of physical integration in historical districts on a meso-scale.

The theoretical implications of this study concerning the physical integration of traditional bazaars address urban design, urban planning and multi-disciplinary historical geography. The study also has practical implications for the integration of bazaars in historical urban regeneration projects via design guidelines.

This study emphasizes the importance of physical integration as a multi-dimensional concept, facilitating it to deal with the physical quality and the characteristics of historical districts, particularly bazaars. It also highlights the role of the Iranian bazaar as a unifying structure in the historical districts.

Natural food colors used in food are generally perceived as additives. Therefore, many studies have been conducted to prove the health benefits and risks of using natural food colors, which play an important role in the food industry, and to identify realistic stabilization methods. This paper aims to examine the health effects of natural food colors from a pharmacological approach.

The paper searches for relevant literature using keywords such as “natural food coloring”, “stabilization” and “antioxidant effects”. For the case study area, this paper added “food science and technology” to identify methods for stabilizing natural food coloring. From this review, the authors ultimately selected 79 articles that appeared to meet the research objectives.

When using natural food coloring in food, there are concerns about stabilization. However, with the development of food science and technology, the authors have found that there are multi-layer emulsification methods that can be applied before, during and after food manufacturing, and storage standards are also important. Natural food coloring is playing a diverse role in food science.

Natural food coloring has been reported in various types of literature to have antioxidant, anti-inflammatory and antitumor effects. The most common pigments are carotenoids. Considering the positive effects of natural food coloring on human health, the authors suggest future directions for the development of food science and technology and provide a perspective for changing consumer perceptions.

This research is about embedding service-based supply chain management (SCM) concepts in the education sector. Due to Canada's competitive education sector, the authors focus on Canadian universities.

The authors develop a framework for evaluating and forecasting university performance using data envelopment analysis (DEA) and artificial neural networks (ANNs) to assist education policymakers. The application of the proposed framework is illustrated based on information from 16 Canadian universities and by investigating their teaching and research performance.

The major findings are (1) applying the service SCM concept to develop a performance evaluation and prediction framework, (2) demonstrating the application of DEA-ANN for computing and predicting the efficiency of service SCM in Canadian universities, and (3) generating insights to enable universities to improve their research and teaching performances considering critical inputs and outputs.

This paper presents a new framework for universities' performance assessment and performance prediction. DEA and ANN are integrated to aid decision-makers in evaluating the performances of universities.

The findings suggest that higher education policymakers should monitor attrition rates at graduate and undergraduate levels and provide financial support to facilitate research and concentrate on Ph.D. programs. Additionally, the sensitivity analysis indicates that selecting inputs and outputs is critical in determining university rankings.

This research proposes a new integrated DEA and ANN framework to assess and forecast future teaching and research efficiencies applying the service supply chain concept. The findings offer policymakers insights such as paying close attention to the attrition rates of undergraduate and postgraduate programs. In addition, prioritizing internal research support and concentrating on Ph.D. programs is recommended.

The performance analysis of top 50 management institutions of India is conducted to understand their efficiency in utilizing available resources. The importance of different indicators is investigated to identify most preferred strategies of top management institutions in the country in order to meet the expectations of all stakeholders. Artificial neural networks models are applied for pattern recognition and classification purpose using self-organized map algorithms. A huge reservoir of young generation is being trained every year to meet the demand of business in different sectors of economies. It becomes a matter of concern to know the performance of the management institutes to ensure the overall national progress, which can be done by enabling organizations to improve their efficiency and effectiveness, provided the right information and skills are served. Data envelopment analysis (DEA) and self-organizing maps are utilized together to take advantages of optimization and prediction capabilities inherent in each method, and they may be beneficial to assess institution’s competitive position and design their own strategies in order to improve. The paper aims to discuss these issues.

The DEA is used to understand the utilization of resources by institutions on the bases of efficiency scores. Due to a greater flexibility and adaptability, neural technique, i.e. self-organized map, which is an artificial intelligence-based technique, a popular unsupervised learning model with a capability to capture patterns from data sets, is used. In this study, various parameters like qualification of faculty, research output of faculty members, expenditure made for functioning of the institution, etc., are considered. These academic and operational indicators are investigated in relation to the rank score and the efficiency score of top management institutions, and different strategies as a combination of input as well as output indicators are identified.

In the analysis, three types of strategies are identified. At present, the focus on salary packages of graduates seems the most utilized strategy. It is also observed that the strategy of having good performance, in terms of consultancy, peer and employer perception, has the highest success rate (in terms of score used for ranking). Results obtained using both techniques shows that due to high deviation and less explored research publications and sponsored research project is an opportunity that institutions can work upon to have maximum output. But to maintain consistency in terms of the high rank score and efficiency score, management institutions need to focus on consultancy, peer and employer perception.

This research identifies the different parameters categorized into various inputs and outputs for the management institutions in India for the benchmarking. It studies the importance of identified parameters in terms of success (rank score and efficiency score). Further investigation of relationship between parameters and success is conducted. Different strategies as a combination of parameters are identified. The current choice of top management institutions is revealed in terms of their preference and effectiveness of strategy. This research also provides some insight about long-term and short-term strategies, which may be beneficial to education managers or decision makers.

It is one of the rare papers in terms of performance measurement through data envelopment method and identification of strategy using artificial intelligence. This paper utilized a hybrid methodology that integrates these two data analytic methods to capture an innovative performance and strategies prediction in education system.

The purpose of this study is truck scheduling and assignment of trucks to the doors simultaneously since these issues were considered mainly separately in the previous research. Also, the door service time and its impact on truck scheduling were not taken into account, so this research endeavors to cover this gap.

In this research, a novel model has been presented for simultaneous truck scheduling and assignment problem with time window constraints for the arrival and departure of trucks, mixed service mode dock doors and truck queuing. To resolve the developed model, two meta-heuristic algorithms, namely, genetic and imperialist competitive algorithms, are presented.

The computational results indicate that the proposed framework leads to increased total costs, although it has a more accurate planning; moreover, these indicate that the proposed algorithms have different performances based on the criteria considered for the comparison.

There are some limitations in this research, which can be considered by other researchers to expand the current study, among them the specifications of uncertainty about arrival times of inbound and outbound trucks, number of merchandises which has been loaded on inbound trucks are the main factors. If so, by considering this situation, a realistic scheme about planning of cross docking system would be acquired. Moreover, the capacity of temporary storage has been considered unlimited, so relaxing this limitation can prepare a real and suitable situation for further study. Examining the capacity in the front of each type of doors of cross-dock and executive servers are the other aspects, which could be expanded in the future.

In this study, a mathematical programing model proposed for truck scheduling to minimize total costs including holding, truck tardiness and waiting time for queue of trucks caused by the interference of each carrier’s movement. At the operational levels, this research considered a multi-door cross-docking problem with mixed service mode dock doors and time window constraints for arrival and departure time of trucks. Moreover, M/G/C queue system was developed for truck arrival and servicing of carriers to trucks.