Since safety, performance and outcome indicators can improve the quality of care, patient safety indicators are required to monitor and provide safety in care. The aim of this study was to compile a set of patient safety indicators for monitoring in patient safety dashboard.
A set of patient safety indicators was collected by reviewing such indicators presented in Australia, England and OECD, ESQH, and AHRQ organizations. Then, the indicators were validated during Delphi process in two stages by the staff of patient safety and quality improvement unit of governmental hospitals and patient safety experts at Tehran University of Medical Sciences treatment deputy office. Data analysis was performed by SPSS version 13 and descriptive statistics.
The present study was conducted on 62 patient safety indicators and eight main categories were classified as follows: safe hospital indicators, childbirth indicators, surgery-related indicators, mortality indicators, infection-control indicators, drug and prescription error indicators, falling indicator, and other special indicators.
Considering the identification of patient safety indicators in different dimensions, measuring the importance of these indicators and using them in the form of dashboard software in health centers will have a significant role in improving patient safety and the quality of health care.

The purpose of this study is to identify the most important joint indicators in order to evaluate the performance of executive bodies in public sector. To carry out this research, the meta-synthesis qualitative method was used to extract the most important indicators from prior studies. To extract researches in the meta-synthesis method, studies from 2003 to 2022 (last 20 years), and to screen researches, the critical appraisal skills program, and to extract the performance assessment indicators of governmental organizations, the seven-step technique of Barroso and Sandlowski (2007) were used. The results of the meta-synthesis method led to identifying 10 groups of indicators, which are as follow: 1.Ethical organizational culture: containing 5 indicators; 2.Effective information and communication system: containing 4 indicators; 3.Risk and performance evaluation system: containing 5 indicators; 4.Transparent, efficient and effective laws and regulations: containing 3 indicators; 5.Provision, allocation and appropriate use of resources: containing 5 indicators; 6.Human resources efficiency: containing 6 indicators; 7.Rule of law: containing 1 indicator; 8.Appropriate planning: containing 4 indicators; 9.Effective and efficient guidance: containing 5 indicators; 10.Concrete results, realized goals and significant works: containing 5 indicators. These indicators can be used in the joint evaluation of all executive bodies of any type of activity.

The purpose of this study was to design and explain a good governance model for the general public libraries departments of the country using a integrated approach. The results of Delphi technique based on confirmatory factor analysis as a good governance model consisted of two dimensions, 9 components and 28 indicators: Political Dimension (Including 5 Components and 14 Indicators): Accountability and Transparency Component (Including 3 Indicators), Social Justice Component (Including 3 Indicators), Ethical Law Component Component (Including 4 Indicators), Participatory Component (Including 2 Indicators) and Corruption Component (Including 2 Indicators). Includes 2 indicators). Managerial Dimension (4 components and 14 indicators): Interactive justice component (including 4 indicators), Efficiency and empowerment component (including 5 indicators), Creative development component (including 2 indicators) and Professional Virtual Networks component (including 3 indicators). According to experts, Creative rules was as the top priority and social justice was as the least priority component of the political dimension. Also, creative development was as the top priority and professional virtual networks was as the least priority component of good governance in public libraries in the country. This is an applied-developmental research that identifies basic indicators by analyzing documents and interviews

Estimation of the amount of soil loss measurement of field indicators is a low-cost method, is easy to learn and can be simply applied. In order to measure and make assessment of soil loss amount by field indicators method in Shahrak Watershed, first map of the work units was prepared and then, measurements of the relevant field indicators were carried out within these units. Then, EPM model was calibrated and verified. Then the measured data for the amount of the soil loss obtained by using field indicators were analysed and assessed using EPM experimental model. Mean of relative error and correlation coefficient between values from filed indicators method and EPM model were around 7.6 and 0.9, respectively which these results verify field indicators method for estimation of soil loss intensity. Estimation of the average of soil loss amounts relevant to each of the field indicators shows the following soil losses: Rock exposure indicator: 47.61 (ton/ha), Pedestal indicator: 22.61 (ton/ha), Rill indicator: 5.67 (ton/ha), Sediment in drains indicator: 2.21 (ton/ha), Gully indicator: 2.17 (ton/ha) and Build up against barriers indicator: 34.78 (ton/ha).

Aim and introduction. Today’s business leaders are seeking to achieve sustainable development in order to succeed in the competitive market. Based on the theoretical framework, research background and experts' opinions, it can be concluded that despite the increase in the number of free zones in Iran, they have mainly focused on importing different products to the country. In other words, there is not a balanced growth in these areas in terms of sustainable development indicators, including economic, environmental and social indicators. In addition, the performance of the free zones has not been satisfactory from attracting foreign investment and employment viewpoints. Therefore, considering the high potential of free trade-industrial zones in economic growth of the country, it is necessary to take the all dimensions of sustainable development into account. Methodology.The main purpose of this study is to identify and analyze the indicators of sustainable development in  free zones of Iran. To accomplish that, considering three main areas including commercial, industrial and tourism, the sustainable development indicators of free zones under both internal and external dimensions from three aspects of environmental, economic and social are studied using fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) technique. This technique is a structural method that is able to represent the causal relationships among factors which uses a straightforward diagram and some matrices. This technique contains eight steps of 1) defining appropriate scales, 2) establishing the direct-influence matrix, 3) normalizing the direct-influence matrix, 4) constructing the total-influence matrix, 5) deriving the influential relation map (IRM), 6) designing a scatter diagrams, 7) setting the threshold values, 8) building cause and effect relationship diagrams.In this regard, a DEMATEL questionnaire based on the 5-choice verbal values ​​scale consisting of 44 internal and 24 external indicators is designed. Then, the results received from eight experts are analyzed in MATLAB and Excel software. The obtained results show that the variability of internal indicators is more than the that of external indicators which implies that the internal indicators have a wider range of relationships than the external indicators. Moreover, the dispersion of internal effect indicators is more than that of internal cause ones while there is a slight difference between the dispersions of external cause and effect indicators. Besides, the existence of complex relations among both internal and external indicators is confirmed. The obtained results from internal indicators show that three indicators: 1) separation, collection, transportation, recycling and disposal of industrial waste, 2) reducing the use of hazardous industrial waste, and 3) Satisfaction of supply chain stakeholders, respectively, have the most relationship with other internal indicators. In other words, focusing on the mentioned indicators can make a significant improvement in other internal indicators. Furthermore, three internal indicators of 1) providing interest and services for stakeholders, 2) proper strategy to increase market share, and 3) encouragement of employees to participate in sustainable development, respectively, have the least relations with other internal indicators. Consequently, concentrating on these indicators leads to little changes in other internal indicators. The results obtained from external indicators confirm that three indicators of 1) culture of compliance with safety and environmental standards by companies, 2) prevention of marine pollution by ships, and 3) raising the awareness of tourists and customers regarding traffic issues, respectively, are the most related indicators to other external ones. As a result, changes in these indicators can significantly affect the other external indicators.Discussion and Conclusion.In addition, three indicators of: 1) encouraging tourists and customers to buy eco-friendly products, 2) cooperating with charities and organizations to support the local community, and 3) informing tourists and customers to respect the customs, traditions and comfort of the local community, respectively have the least interaction with the other external ones. Hence, paying attention to these three indicators results in a little changes in other external indicators. As another important finding, it can be referred to the influential internal and external indicators. In this regard, the indicators: 1) providing sustainable development policies, 2) air quality monitoring and reduction of greenhouse gas emissions, and 3) establishment of industries are the most effective internal indicators, respectively, while 1) educating local community regarding sustainable development, 2) reducing energy consumption by companies, and 3) cooperation with international companies are the most influential foreign indicators, respectively.Finding. Although, this study determines the complex causal structure and identifies influential and influenced internal and external indicators, it does not calculate the relative importance of the indicators. Besides, despite the internal relation among internal and external indicators of sustainable development, the proposed method ignores the multiple relations among them. Therefore, future researchers can be directed to use of multi-criteria decision-making techniques to quantify the relative importance of sustainable development criteria of free trade-industrial zones.

The main purpose of this study is to investigate and evaluate the status of energy indicators for sustainable development in Iran in three areas: social, economic, and environmental. For this study, energy indicators for sustainable development have been studied and calculated based on the method introduced by the International Atomic Energy Agency. In this method, 30 indicators in three areas of social (4 indicators), economic (16 indicators), and environmental (10 indicators) are introduced. The research method in this study was applied in terms of purpose and library (documentary) and field (qualitative and quantitative) in terms of collecting statistics and information. The statistical population of the research in the stage of identifying and measuring energy sustainability indicators was experts in the field of energy and environment. Out of 30 energy indicators for sustainable development, according to experts, 17 indicators were selected as the final energy indicators for sustainable development in Iran (2 social indicators, 11 economic indicators, 4 environmental indicators) and 13 indicators due to lack of statistics were deleted. The amount and size of each of the indicators were measured and evaluated separately. Regarding the status of the indicators, the results obtained indicate that: The status of electricity access indicators and the share of household income paid for electricity is favorable. Also, the status of the indicators of the ratio of reserves to production, areas whose acidity is too critical and the ratio of radioactive solid waste to the unit of energy produced is relatively favorable. Status of other indicators, including: per capita energy consumption, the ratio of resources to production, the intensity of energy consumption in industry, agriculture, services, households, and transportation, the share of fuel in energy and electricity, the share of non-carbon energy in energy and electricity, the share of renewable energy in energy and concentration of air pollution in urban areas are undesirable.

The present study aimed to identify the indicators, components, and dimensions of empowerment of the heads of centers of the Comprehensive Applied Science University. The research, in terms of purpose, was applied, and in terms of data type, it was a meta-synthesis and content analysis of interview texts. The study population included theoretical foundations and related literature from domestic databases (2012-2022) and international databases (2013-2023), as well as experts and specialists from the Comprehensive Applied Science University. The sample size was determined by systematic elimination based on the PRISMA model flowchart, and the content analysis section included 13 interviewees selected through purposive sampling and based on the principle of saturation. The data collection tools were library documents and semi-structured interviews with experts. To calculate the validity, a 27-item checklist based on the PRISMA model was used, and for reliability, Cohen's kappa coefficient method was applied for the meta-synthesis section, along with content validity, retest reliability, and inter-coder agreement. The data analysis method was thematic analysis (basic, comprehensive, and organizing themes) using Maxqda2020 software. The findings revealed that the dimensions of empowerment for heads of centers in higher education include managerial abilities (with components such as human resource management ability with 5 indicators, financial management ability with 5 indicators, research and development management ability with 4 indicators, and information technology management ability with 4 indicators), communication abilities (with components such as active listening ability with 6 indicators, effective speaking ability with 5 indicators, ability to communicate with others with 4 indicators, ability to use various communication methods with 5 indicators, and negotiation and conflict resolution ability with 4 indicators), professional abilities (with components such as mastery of current knowledge and technologies with 5 indicators, ability to plan and manage educational courses with 4 indicators, ability to develop relationships with industry with 4 indicators, ability to enhance organizational culture with 5 indicators, and ability to manage transformations with 5 indicators), and personal abilities (with components such as communication ability with 4 indicators, technical ability with 5 indicators, leadership ability with 5 indicators, and educational ability with 6 indicators).

The aim of this research was to evaluate and select of appropriate indicators for different zones of Baghe shadi region where it have six different zones (restricted zone, protected zone, restored zone, inhibition zone, recreational zone and other uses zone). To do so, first top-down approach and Likert scale questionnaire was used for voting from 32 experts. After that using influence matrix, influence and importance of indicators were determined and the most important indicators as well. Then using system analysis and influence matrix, for the first five indicators of each criterion, influence and importance of indicators were determined in different zones and indicators were evaluated and then appropriate indicators were determined for each zones. Regarding to results of indicators evaluation, indicators related to area of forests and protective functions have the most importance and application in restored zone. Area of forests and other wooded lands, extent of area by forest type relative to total forest area, area of natural forests with healthy regeneration were appropriate indicators in restricted and protected zones. Also, Existence & implementation of management plan & protection for spectacular landscape area in region, extent of forest lands considered for recreation, accessibility for recreation and expenditure for access to tourism area were appropriate indicators in recreational zone.

Effectiveness and efficiency of investment is related to the use of technical analysis tools to maximize returns and minimize trading risks as the two challenges researchers commonly face. In the present study, the daily stock price information of 135 companies listed on Tehran Stock Exchange (TSE) during the period of 2010-2020 was used to investigate their investment strategies based on technical indicators in both short-term and medium-term periods. Investor behavioral reactions were indicated by the utilized technical indicators. The relationship between the values of the technical indicators and stock returns showed that the signals represented by the three indicators of Moving Average (MA), Exponential Moving Average (EMA), and Relative Strength Index (RSI) over a weekly to 6-month period to buy or sell the stocks (as a strategy) performed better than the other indicators. Therefore, investors can use a combination of these three indicators to determine their strategies of buying and selling so as to obtain more returns.IntroductionBehavioral finance is one of the new topics that has been raised and considered by some financial researchers over the past few decades. The behavioral financial perspective states that most investors’ behaviors depend on judgment, emotional tendency, and informal sources of information. A significant number of studies has shown that investors’ emotional behaviors affect the stock market. According to the traditional view of stock returns, changes in the stock price are related to systematic changes in the firm’s core values. However, recent studies have shown that investor’s emotional tendency plays an important role in setting prices and determining time-series returns. The effectiveness and efficiency of technical analysis tools can be determined by their applications to maximize returns and minimize transaction risks as the challenges researchers frequently face. There are several strategies for stock trading in a financial markets. Most of these strategies are based on some technical indicators. This study examined the performance of 11 technical indicators to find which ones better represent the investors’ behavioral reactions and finally provide an optimal investment strategy by combining them.   Method and DataTo investigate the relationship between the values of the technical indicators and stock returns, we extracted the daily stock price data of 135 companies listed in Tehran Stock Exchange (TSE) during the period of 2010-2020 and accordingly used the regression method and panel data. FindingsThe values of investments in the weekly to 6-month modes showed that the 6-month information led to higher returns compared to the weekly information, indicating significantly increased returns represented by the 11 studied indicators with the increasing time of the period. The indicators of Moving Average (MA), Exponential Moving Average (EMA), and Relative Strength Index (RSI) had the highest return values ​​in both the weekly and monthly information modes. In the mode of 6-month data, the true strength index (TSI) had a lower coefficient of variation, but better performance than the other indicators. Among the 11 indicators studied, the indicators of MA and EMA had a higher coefficient with stock returns in the short- and medium-term investments. The higher coefficient meant that the returns were enhanced by increasing these indicators of buying and selling. Therefore, they had more power or strength than the other indicators and could better represent the stock returns. The relationship between the values of the technical indicators and returns in the short run revealed that the indicator of MA better represented the stock returns compared to the other indicators. In the medium term, the mentioned indicator was a better indicator for representing the stock returns. When comparing performance of the strategies by the use of the technical indicators, moving from a weekly to 6-month period demonstrated more returns related to the mentioned indicators that were significantly different from the returns represented by the other indicators. Conclusion and discussion In all the investment periods, the indicator of MA had more power to influence on the returns and better represented the stock returns as compared to the other indicators. The signals that were given by the three indicators of MA, EMA, and RSI in the different short and medium-term periods to buy or sell the stocks (as a strategy) better showed the investors’ behavioral reactions and could be thus utilized with higher confidence in comparison to the other indicators since leading to higher returns and profitability. As the trend of the returns represented by the mentioned indicators moved from weekly to the 6-month mode, a larger difference was achieved in terms of significance, indicating that the relationship between the values of the technical indicators and stock returns could provide better buying-selling signals in a longer period.

Native housing is a particular pattern of housing that fits the characteristics of the economic, social and cultural residents and also fits with natural and environmental characteristics are the desired location; In order to evaluate native housing in the city Meybod is used four indicators of socio-cultural, economic, physical, and service - infrastructural. Kruskal-Wallis and U Mann-Whitney test results indicate that Socio-cultural and physical indicators is relatively better condition and economic indicator on average and infrastructural - services indicator is well below its than average. also between the neighborhoods of the Meybod city in native housing indicators, there is a significant difference. Indicators of socio-cultural and economic indicator in the Old neighborhoods Meybod city have better situation, But in the physical indicator and infrastructural services indicator and situation is reversed and the old neighborhood in these indicators weaker and new neighborhoods are relatively stronger. Results obtained of the factor analysis technique shows in order to achieve native housing in the Meybod city, 33 factors following four factors: the first factor: social, physical and environmental, the second factor: the economic, the third factor: services and infrastructural, the fourth factor: the cultural, be considered in the design and build housing in this city.