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The use of polysaccharides increases solubility and consistency and causes functions such as viscosity? Moisture and food emulsifier stabilizer. This study aims to enrich the formulation of low-fat mozzarella cheese using microcoated vitamin D3 (VD3).

This study investigates the addition of hydrocolloids to low-fat mozzarella cheese to enhance its properties and nutritional value. Tests were conducted on cheese samples with 0.05% and 0.25% hydrocolloid concentrations at various stages: before production and at three and six months’ postproduction. The samples were evaluated for elasticity, pH and solubility to select the best one, which was then fortified with VD3. The vitamin was microencapsulated using alginate and whey protein to shield it from light and oxygen, optimizing the formula using the response surface method. The fortified cheese was tested for VD3 content over its shelf life.

Results indicated that all hydrocolloids tested improved moisture and meltability of the cheese while higher protein levels increased stretchability two to threefold. Rice starch hydrocolloid at 0.05% concentration was chosen due to superior sensory scores and minimal oil separation. This study concluded that VD3 levels remained stable during the cheese’s shelf life, suggesting that this approach could enhance the nutritional value of low-fat cheese without compromising its quality. Therefore, after examining the obtained results and comparing the regression models, the results indicated that the Quadratic model was chosen to investigate the effect of independent variables on the response rate, which had a statistically significant difference with other models (p = 0.0019). Also the results of the area under the curve and using the encapsulation efficiency equation, the percentage of microencapsulated vitamin was obtained, and according to the simulation results, the encapsulation efficiency was reported as 89.02%.

Developing innovative functional dairy products fortified with VD3 could improve the vitamin D status in deficient populations. Therefore, these designs can be applied at industrial scales for functional cheese production.

Falling was distinguished as leading cause of fatal and non-fatal injuries among elderly; there is a lack of information regarding the falling risk factors in developing countries. The purpose of this paper is to investigate the falling risk and correlated factors in community-dwelling elderly.

This cross-sectional study was performed on 280 elderly using a multi-sectional questionnaire in Karaj, Iran. The simple stratified random sampling was used. Adult who were over the age of 60, living independently, able to ambulate independently and safely, no cognition problem and speaking in Persian entered in the study. Exclusion criteria were residing in assisted living facility or unwilling to participate. Several statistical tests including logistic regression analysis were used to analyse the data.

The mean age of participants was 69.55±8.82 and 51 per cent of them were female. The results showed that there are significant differences between low-, medium- and high-risk groups regarding age, marital status, diabetes, blood pressure and osteoarthritis (p<0.05). Due to finding, the main predictors to higher chance of falling were age (OR=1.61; 95% CI 1.025–1.097), marital status (OR=1.485; 95% CI 1.170–1.279), vision acuity (OR=1.603; 95% CI 1.297–2.223), activities of daily living (OR=2.10; 95% CI 1.047–3.859), heart disease (OR=1.448; 95% CI 1.268–1.728), osteoarthritis (OR=1.238; 95% CI 1.711–2.127), falling history (OR=1.026; 95% CI 1.015–1.089) and medication (OR=5.975; 95% CI 1.525–23.412).

Better understanding of falling risk factors can lead to the implementation of effective preventive intervention, thus reducing public health expenditure, and improving the quality of life.

This study was conducted for the first time to assess the risk of falling in older people in Iran.

The purpose of this paper is to establish the contextual factors that influence entrepreneurial intention to start the small and medium enterprises (SMEs) in Iran and to investigate why some manufacturing sector entrepreneurs achieve growth objectives while others do not.

In-depth semistructured interviews of 25 participants were used to investigate the contextual factors of entrepreneurship intention. On the basis of the data collected, a thematic content analysis has been carried out.

A set of contextual and cultural factors has been highlighted by the analysis. Data analysis led to the extraction of three main themes: external, internal and personal factors that were found to be significant determinants of entrepreneurship intention. In relation to the effect of these factors on their entrepreneurial behaviors, it emerged that there were the major barriers to entrepreneurial intentions including lack of resources, financial challenges and economic situation, which affected how they made strategic decisions about their plans. Moreover, the findings show that the key dimensions of organizational structure, public policies, social media, education and soft skills development are vital features and being influential in entrepreneurship.

The study has industry-specific, size-specific and region-specific limitations. The qualitative research approach affects the generalizable character of the results.

The research findings have important implications for practicing entrepreneurs, start-ups and policymakers. The manuscript suggests a transition to a more collaborative approach from experts and practitioners in the field through policymakers to tackling the underlying determinants of entrepreneurship intention in Iran as a motive to economic growth. This research is significant since its findings should help regulators and investors better understand the opportunities and threats among manufacturing SMEs. This study implies a step forward in research into the entrepreneurship intention and SMEs literature, since the results differ from the evidence found for large companies in developing countries such as Iran. There is also a great contribution toward the debate regarding the need to consider the context and the type of firm in enterprise development studies.

This is the first empirical study conducted in Iran that explores three key elements of entrepreneurship intention interactively in Iran through qualitative research analysis. The research study fills a literature gap on the determinants of manufacturing SMEs’ functions. This manuscript explores the contextual factors that influence on entrepreneurial behavior in a conflict country context, using a thematic analysis for in-depth results. A new approach to evaluating entrepreneurial opportunities was used. The advantage of this empirical strategy is that it takes into account in more detail the content observations and experiences with the industry-specific insights. It also gives more description about the contingent nature of practice. Moreover, this qualitative research acknowledged the areas of conflict and contradiction around entrepreneurship phenomena among SMEs.

The objective of this paper is to propose a new data envelopment analysis (DEA) model for assessing sustainability of suppliers with partial impacts between inputs, desirable outputs and undesirable outputs.

This paper examines partial impacts of inputs on desirable and undesirable outputs and applies weak disposability assumption to propose a novel DEA model to determine the sustainability of suppliers.

This paper shows the type of resource sharing in DEA models and takes into account sustainable development and sustainability assessment concepts for sustainable supplier selection problem and develops a DEA model for selecting the most sustainable suppliers with partial sharing of resources. To select the most sustainable suppliers, this model helps managers to consider aggregate efficiency, overall efficiency and bundle efficiency. The paper introduces the supplier which is efficient at all levels as the most sustainable supplier.

For the first time, this paper suggests a new DEA model by partial impact between inputs and good outputs/bad outputs for selecting sustainable supplier and deals with the situations in which each supplier has several subunits. The new model calculates aggregate efficiency, overall efficiency and subunit efficiency of supplier. paper introduces the supplier which is efficient in all levels including aggregate efficiency, overall efficiency and subunit efficiency as the best supplier.