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Dietary inflammatory potential (DIP) is a novel dietary index designed to evaluate individuals’ diets with considering inflammation and anti-inflammation score. In addition, adhesion molecules including soluble intracellular adhesion molecules-1 (sICAM-1), soluble cellular adhesion molecules-1 (sVCAM-1) and E-selectin are important biomarkers to assess endothelium dysfunction which are related to atherosclerosis and cardiovascular complications. Also, there is no study for assessing the association between adhesion molecules and DIP until now as well as other studies that assessed the relationship between dietary inflammatory index or DIP has controversy. The purpose of this cross-sectional study was to determine the correlation between DIP and endothelial markers such as E-selectin, sICAM-1 and sVCAM-1 among female nurses from Isfahan. In this study, DIP was used instead of DII.

This study was performed on 420 healthy nurses. The nurses were selected by random cluster sampling method from private and public Isfahan hospitals. A validated food frequency questionnaire (FFQ) was applied to assess the DIP. A fasting blood sample was collected for measuring the plasma levels of the endothelial markers and other variables.

After adjusting different potential confounders, no statistical association was found between DIP and sICAM-1, E–selectin and sVCAM-1 in Model I (P = 0.57, 0.98 and 0.45), Model II (P = 0.57, 0.98 and 0.45) and Model III (P = 0.67, 0.92 and 0.50) in comparison to the crude group (P = 0.35, 0.83 and 0.49, respectively).

The results revealed that the plasma levels of endothelial markers including E-selectin, sICAM-1 and sVCAM-1 were not significantly associated with DIP in female nurses.

Purchase intention of consumers depends on their perception of the extent to which his expectations will be met through the product. This issue, in the context of the products that are immediately purchased by consumer, depends on the extent of relationship in the point of sale. Packaging is one of the most significant factors influencing purchase decision in the point of sale. In this research, the purpose is evaluating the impact of using Islamic symbols in food packaging on the purchase intention of Muslim consumers.

The authors surveyed Muslim consumers through a questionnaire and analyzed the gathered data through partial least squares (PLS).

The findings reveal the positive impact of Islamic symbols in food packaging on purchase intention of Muslim consumers. However, this effect was confirmed regarding people with high religiosity. The findings show that religious symbol in packaging increases perceived religious symbolic-value of the product among the customers with high religiosity.

Findings of this paper help marketers that are seeking to promote their products in Islamic markets identify the importance of religious symbols and understand when and how to use these symbols in packaging.

This study aims to describe the effect of magnetic field (MF) on the corrosion rate of N-80 carbon steel [N-80 carbon steel (CS)] in concentrated (12.5 Wt.%, 3.8 M) hydrochloric acid (HCl) using gravimetric weight loss (WL) measurements and potentiodynamic polarization (PDP) in various conditions at ambient temperature.

The effects of MF intensity, magnetization time and elapsed time on corrosion rate (CR) reduction (η) were studied.

The experimental results show that pre-magnetization of HCl sharply decreases the corrosion rate of N-80 carbon steel (CS) in acid. The maximum η was found to be 94%. The surface of CS was analyzed with scanning electron microscope in normal and magnetized acid.

To the best of the authors’ knowledge, no studies have delved into the effects of magnetization on the corrosion rate of CS in concentrated HCl solutions. All of the previous research studies deal with an external MF that is applied on the reaction cell, but the magnetization of fluid before coming in contact with CS is investigated for the first time. In the present work, the influence of MF on the corrosion rate of CS in HCl is illustrated using gravimetric WL and PDP methods. The effects of MF intensity as well as period of magnetization and elapsed time were verified in more than 35 tests.

Lot-sizing is among the most important problems in the production and inventory management field. The purpose of this paper is to move one step forward in the direction of the real environment of the dynamic, multi-period, lot-sizing problem. For this purpose, a two-warehouse inventory system, imperfect quality and supplier capacity are simultaneously taken into consideration, where the aim is minimization of the system costs.

The problem is formulated in a novel continuous nonlinear programming model. Because of the high complexity of the lot-sizing model, invasive weed optimization (IWO), as a population-based metaheuristic algorithm, is proposed to solve the problem. The designed IWO benefits from an innovative encoding–decoding procedure and a heuristic operator for dispersing seeds. Moreover, sequential unconstrained minimization technique (SUMT) is used to improve the efficiency of the IWO.

Taking into consideration a two-warehouse system along with the imperfect quality items leads to model nonlinearity. Using the proposed hybrid IWO and SUMT (SUIWO) for solving small-sized instances shows that SUIWO can provide satisfactory solutions within a reasonable computational time. In comparison between SUIWO and a parameter-tuned genetic algorithm (GA), it is found that when the size of the problem increases, the superiority of SUIWO to GA to find desirable solutions becomes more tangible.

Developing a continuous nonlinear model for the concerned lot-sizing problem and designing a hybrid IWO and SUMT based on a heuristic encoding–decoding procedure are two main originalities of the present study.

Supplier segmentation provides companies with suitable policies to control each segment, thereby saving time and resources. Sustainability has become a mandatory requirement in competitive business environments. This study aims to develop a clustering-based approach to sustainable supplier segmentation.

The characteristics of the suppliers and the aspects of the purchased items were considered simultaneously. The weights of the sub-criteria were determined using the best-worst method. Then, the K-means clustering algorithm was applied to all company suppliers based on four criteria. The proposed model is applied to a real case study to test the performance of the proposed approach.

The results prove that supplier segmentation is more efficient when using clustering algorithms, and the best criteria are selected for sustainable supplier segmentation and managing supplier relationships.

This study integrates sustainability considerations into the supplier segmentation problem using a hybrid approach. The proposed sustainable supplier segmentation is a practical tool that eliminates complexity and presents the possibility of convenient execution. The proposed method helps business owners to elevate their sustainable insights.

The purpose of this paper that will address in this paper are: how to implement and test a reliable Block-chain-based energy system for the EU energy payments and logistic? What are the main results, impacts and implications of a Block-chain-based energy system for the EU energy payments and logistic?

The main aim of this study is to propose a Block-chain-based method to offer a secure, reliable and transparent method for energy logistic and payments for European Energy Transactions. To accomplish that aim, the research method of the study follows the design science research approach of smart contracts in the EU Energy logistic and payments. This research approach mainly consists of five sequential steps which are (1) problem and motivation identification, (2) solution objectives definition, (3) design and development and (4) demonstration and evaluation.

Results of data model demonstrate that the Block-chain-based energy system here can be used for any EU energy payments and logistics. Based on the data results of the model that mentioned above enhance the security and the integrity of the energy payments and logistic by using cryptographic techniques and consensus mechanisms to prevent and detect any tampering or falsification of the data on the Block-chain.

This paper represents a genuine piece of research that contributes to the field by providing new insights and understanding. The findings presented are the result of rigorous analysis and have not been previously published or submitted elsewhere for consideration.

The mine sequencing problem is NP-hard. Therefore, simplifying it is necessary. One way to do this is to employ clusters as input instead of individual blocks. The mining cut clustering problem has been little addressed in the literature, and the solutions used are almost always heuristic. We solve the mining cut clustering problem, which is NP-hard, through single- and multi-objective optimization, finding results that are local optima in acceptable computational time.

We first elaborate an ILP-based model to address the mining cut clustering problem. We employ a mono-objective approach and two multi-objective approaches, solving all these models by constraint programming. To choose the best solutions generated by multi-objective approaches, we employ two multi-criteria decision analysis approaches, considering different weight configurations. We developed a case study using real data.

We verified that the approaches based on multi-objective optimization performed better than the mono-objective approach for the economic return criterion. The weighted-sum multi-objective approach presented the best results considering all objective functions used. Once viable solutions were obtained through multi-objective optimization, multi-criteria decision analysis approaches almost always selected the same solution. We obtained solutions that are local optima in acceptable computational time.

This study solves an instance with 80 blocks. Consequently, it is aimed at short-term mine planning. The methodology has not yet been evaluated in large instances related to medium- and long-term mine planning.

This is the first time that multi-objective optimization has been employed to solve the mining cut custering problem. Even other problems related to mine planning were, at most, solved by goal programming, so that multi-objective optimization is a knowledge that is not widespread among mining researchers. The results are consistent, and the study achieves the objective of finding quality solutions to an NP-hard problem in an acceptable computational time.

This study aims to design a national innovation capability appraisal model. This would indicate Iran’s competitiveness situation among regional countries and suggest factors influencing Iran’s performance promotion.

The methodology included four sections: bibliometric analysis to discover intellectual evolution of innovation capability and related concepts; construction of a multi-division structure of national innovation capability according to the clusters extracted from bibliometric results, and experts’ opinions; creating dynamic network data envelope analysis (DEA) according to designed structure, and analysis of Iran’s performance among regional countries; identification and prioritization of the factors extracted from experts’ opinions that improve Iran’s performance in created network using Fuzzy decision-making trial and evaluation laboratory method.

The contemporary bibliometric analysis by its extracted clusters proved the necessity of a multi-division for measuring national innovation capability performance that each division and indicators of each step were designed according to clusters concepts. In designed structure, dynamic network DEA results revealed the weakness of Iran’s performance in the third division in the transformation of patents and high-tech imports to high-tech and creative exports, which led to proposing improving factors by getting experts’ opinions to enhance Iran’s performance in this division by prioritizing them.

One of the limitations of this research was that the indicators used in three phases of national innovation capability in DEA were extracted only from the World Intellectual Property Organization database. Another limitation was the number of experts in focus group sessions because due to the difficulty of gathering them in one session, the researchers lost the participation of some of these recognized experts. Also, the research concentration was on the improvement of the third phase of national innovation capability, in which Iran’s performance was weak.

Creating a relationship between the divisions of dynamic network DEA, as a national innovation capability appraisal model, and the concepts of clusters extracted from reviewing the intellectual structure and evolution of innovation capability and related concepts.

Hospitals need highly trained and competent managers to be responsible for the strategic development, overall operation and service provision. The identification and confirmation of core management competency requirements is a fundamental first step towards developing the competent management workforce for sustainable hospital service provision. This paper reports on the finding of a recent study focusing on identifying managerial competencies required by middle and senior-level managers in the public hospitals in Iran.

The qualitative research design included position description analysis and focus group discussions with middle and senior-level public hospital managers in Iran. When analysing the identified knowledge, skills and attitudes, the validated MCAP framework was used to guide the grouping of them into associating management competencies.

The study identified 11 to 13 key tasks required by middle and senior-level managers and confirmed that the position descriptions used by current Iranian hospitals might not truly reflect the actual core responsibilities of the management positions. The study also confirmed seven core managerial competencies required to perform these tasks effectively. These core competencies included evidence-informed decision-making; operations, administration and resource management; knowledge of healthcare environment and the organisation; interpersonal, communication qualities and relationship management; leading people and organisation; enabling and managing change and professionalism.

Competencies were identified based on managers' perceptions. Views and experiences of other stakeholders were not captured.

The seven core management competency identified in the current study provides a clear direction of competency development among senior and middle-level managers working at the Iranian public hospitals. The study also confirms that position descriptions do not reflect the actual responsibilities of current hospital managers, which are in need to urgent review.

This is the first study that has identified the core managerial competencies required by middle and senior-level hospital managers in Iran.

Considering the important role of public libraries in providing health information service as well as user feedback in improving the quality of health information services, the purpose of this study is to evaluate the quality of health information service in public libraries of Hamadan, Iran, on the basis of the modified LibQUAL model

This practical research was conducted in an analytic-survey method. The statistical population consists of all members of public libraries of Hamadan over 18 years old (12,237 people), and the sample size is calculated to be 373 people. The stratified sampling method was used, and within each class, a convenience sampling method was used. The modified LibQUAL questionnaire was used to gather data. For checking normality of data distribution, the Kolmogorov–Smirnov test and for analyzing date, descriptive statistics and also Chi-square and Wilcoxon tests were applied using SPSS 25.

The users' minimum level of public libraries in all three dimensions is an average level. The users' desired level of “information control” is higher than other dimensions. The users' perceived level in dimensions of “human resources” and “information control” is high level, while users' perceived level in “educational service” is an “average” level. There is a superiority gap between desired and perceived level in all dimensions, but the adequacy gap was seen only in the dimension of “educational service.”

In this study, the quality of health information services provided in public libraries is evaluated by the LibQUAL model.

The results of this research can help managers and librarians of public libraries in measuring the quality of health information services and improving the quality of services provided by libraries. Besides, they can take a more accurate planning and pathologic approach, to eliminate the gap between minimum and desired expectations of users and libraries’ real services.

In this study, the quality of health information services provided in public libraries is evaluated by LibQUAL tool.