abolfazl kazemi

Today, human resources are considered as the key factor and development of any organization, in this regard, the importance of human resources management in third sector organizations is of double importance due to its characteristics such as voluntary and non-selective nature. Therefore, this research has addressed the modeling of human resource management in voluntary organizations and has used the mixed exploratory research method.In the qualitative part, theme analysis is done in NVIVO software, and the statistical community of the research consists of experts from the Imam Relief Committee. In terms of expertise, the size of the expert community was 15 people and the number of samples was determined using the snowball sampling technique of 15 people, and finally 8 dimensions with 29 indicators were identified. Care and maintenance are human resource infrastructure, perceptual and functional results and consequences, internal environment and external environment.In the quantitative part, the statistical community was the experts of the Imam Relief Committee (R.A.), in this regard, 175 questionnaires were collected and the analysis was done with the confirmatory factor analysis method in AMOS software.The obtained results confirm that voluntary organizations also need human resource management systems and processes in accordance with their nature. The results of the quantitative part showed that all dimensions and components of the proposed research model were confirmed.

The purpose of this article is to present and validate the human resources recruitment model in the Social Security Organization of Iran. The paper is exploratory in terms of its goal, basic in terms of audience and cross- sectional in terms of time. The research approach is mixed. The statistical population in the qualitative part of the research were 11 Head  Deputies of the Organization, General Directors and human resource Managers (Administrative and Finance, Human Resources Development and Support) who were selected  on a purposive sampling method. The research population in the quantitative part of the research include 384 employees  of the Social  Security Organization. Based on the Cochran formula, we selected 361 employees who participated in this stage of the research and filled out the research questionnaire. As for collection of data in qualitative stage, we used the semi- structured interviews with those 11 pre-mentioned experts. The grounded theory method was the research tool for analysis of the collected data, that was done through MAXQDA software. We could identify, the basic categories of the human resource development. The final model was validated with SMART PLS. The results showed that the main aspects of recruiting human resources in the country's Social Security Organization are: causal conditions (constitutional law, vision of the development plans and organizational culture); Intervening conditions (lack of competence); background conditions (selection and recruitment system); the central phenomenon (recruitment of human resources); Strategies (development of professional skills of human resources) and Consequences( the Country economic growth and development,, improvement of organizational performance, efficiency and gaining competitive advantage).|

This research has addressed the modeling of knowledge-based human resource management with a qualitative approach in voluntary organizations. According to the theory of resource-based perspective, human resources can be considered rare and non-repeatable assets that provide a sustainable competitive advantage to the company. The researcher is trying to answer a practical problem and in this regard, to develop practical knowledge and discover new knowledge in voluntary organizations. The method used was theme analysis in NVIVO software. The statistical population consists of experts from voluntary organizations with at least the position of deputy; over 20-year work experience; experience in voluntary activities; at least 45 years old with a doctorate degree or higher. The size of the community of experts was 10 people. The number of samples was determined using the purposive sampling technique. In this research, an 8-dimensional model with 29 indicators was identified. These 8 dimensions are supply, growth and training, motivation, maintenance, human resources infrastructure, consequences, internal environment, and external environment. These 8 criteria indicate that the creation of a suitable structure and organization of human resources causes the employees to move towards their main specialties and consequently increases the organization's productivity. Therefore, by giving importance to human resources, developing and implementing new knowledge strategies, the productivity of knowledge workers, and the use of approaches based on information technology, can improve the knowledge management of human resources.

Acquiring knowledge and using it effectively based on education is the only way to gain a competitive advantage and productivity in today's market. This research has focused on modeling training-oriented human resource management in voluntary organizations.

The research method is quantitative. The community of experts was Imam Khomeini's committee, based on Cochran's formula, 148 people were identified as a sample. At first, the validity of the questionnaire was checked using CVR and CVI indices. The questionnaire was given to 10 experts. The CVR value was 0.88 and the CVI value was 0.81. Based on the acceptable limit, both content validity indices were confirmed. The reliability of the questionnaire was obtained based on Cronbach's alpha index of 0.92, which was approved. The questionnaire was distributed among the sample members and the analysis was done by the confirmatory factor analysis method in AMOS software.

The 8 dimensions identified in the theme analysis are supply, growth and training, motivation, maintenance, human resource infrastructure, consequences, internal environment, and external environment. The obtained results indicate that the creation of a suitable structure and organization of human resources causes the employees to move towards their main specialties and consequently increases the productivity of the organization.

The results of the quantitative section showed that all dimensions and components of the proposed research model were confirmed.

The purpose of this paper is to innovate new processes, including understanding social demand, capturing its industrialization, and innovatively reconfiguring integrated knowledge in order to create sustainable development in the community business context. With the emergence of new approaches in social networks, definitions and behavioral models of businesses have undergone structural changes.And with modernization in some of its dimensions has led to a redefinition of concepts in the field of business. For this purpose, a model for organizational entrepreneurship based on corporate governance has been used as an economic solution. Since banks and their subsidiaries have the necessary potential to operate in these areas and are involved in business in some way due to new approaches. Therefore, banks should think about integrating the organizational entrepreneurship structure with corporate governance to use this approach in their business ecosystem. Therefore, research was conducted in the context of one of the developed banks in Iran from this perspective. In order to test the findings of this descriptive study, data collection method through a questionnaire was used. And raw data were analyzed using statistical techniques. In order to validate the model, the structural equation method has been used. Based on the results of statistical studies, all factors had the necessary validity.

This article aims to provide a model of human resource absorption with the development of human resources in government organizations. In terms of purpose, the present study is an applied-developmental research and in terms of data collection method, it is a cross-sectional research. To achieve the research goal, a mixed exploratory design has been used. The statistical population in the qualitative section includes managers of government organizations in Khorasan Razavi province. Purposeful sampling was performed and 15 people achieved theoretical love. The statistical population also includes 6000 human resources of government organizations, which with the Cochran's formula is estimated at a sample size of 345 people. The required sample size was provided by stratigraphic sampling method in four regions of Khorasan Razavi province. Interviews and questionnaires were used to collect data. The basic categories of human resource development were identified by content analysis method and the final model was identified by validation equation modeling method. Qualitative data analysis was performed with Maxqda software and quantitative data with LISREL. The results of comprehensive categories are categorized in terms of technical, human and value factors. Organizing factors also include skill, knowledge, attitude, behavior, adherence to values, pragmatism, economic, technological, social, cultural, revolutionary, powerful. Technical factors consist of knowledge, skills, economic factors and technology. Human factors include attitudes, behaviors, social and cultural factors. Finally, value factors include adherence to values, pragmatism, revolutionary factors, and authority.

The purpose of this research is to identify and rank sustainable HRM indicators for developing a tool for assessing the sustainability of HRM in Iran's administrative system. Research is applied in terms of purpose, and in terms of collecting data, descriptive-survey. Statistical population includes experts and specialists in the field of organizational behavior management and HR with managerial background in governmental organizations located in Tehran or with a degree in management of 25 people who were selected through a judiciary (targeted) and snowball method. In the first step, by examining and evaluating the theoretical foundations, 31 factors were identified as indicators of sustainable HRM. Next step, questionnaire was used to collect experts' opinions for implementation in the Fuzzy Delphi technique, with 7indicators lower than the average and were eliminated for the priority determination stage. Subsequently, using a pairwise matrix and in the form of verbal phrases, a checklist questionnaire was developed to determine the weight of the skills and distributed among the experts. The validity of the questionnaire was confirmed using expert opinions. Then, based on the weights obtained by fuzzy AHP method, using the ARAS technique, prioritized the HRM indicators. Based on the results, 5indicators have been taken into account: employees' expectations, the move toward the development of teleworking business, Alignment of human resources policies, policies and infrastructure with the goals of strategic organization sustainability, Localization of HR Recruitment, and expanding the culture and development of environmentally friendly behaviors among employees. The order of the highest priority was achieved.

The purpose of this study is to identify and evaluate the antecedents and consequences related to the desired organizational image in the Iran's oil industry as a government organization.

This research is descriptive-correlational in terms of applied purpose and in terms of research type. The statistical population of the research included managers and experts of the Iran's oil industry, and a sample of 426 was extracted from this population based on Cochran's formula for limited societies and random cluster sampling. Also, the collected data based on a standard questionnaire were analyzed based on the structural equation modeling method in Emus version 18 software.

The findings of structural equation modeling and related tests showed that internal and external image in the Iran's oil industry have an effect on the desired organizational image and this desired image can also lead to positive consequences inside and outside the organization.

The results of this research showed that organizational communication, organizational policies and procedures, and organizational commitment are the most important key antecedents in order to achieve a positive organizational image in the Iran's oil industry.

Human resource managers are the most important factor in determining the success and failure of organizations, which, based on their competencies, are crucial to their environment and achieve the goals of the organization. Effective management seems to be an essential need. Therefore, the main purpose of this study is to provide a competency model for human resource managers in crisis situations. This research is applied in terms of purpose and is descriptive-survey in terms of implementation. The statistical population of this study includes 35 experts and managers and 2430 employees of Red Crescent, Tehran Municipality and Governorate. Data were collected by a questionnaire. To analyze them, Delphi method and interpretive structural modeling, factor analysis method were used. From the experts' point of view, 5 main components include: Iranian-Islamic, individual personality component, interpersonal component, organizational component and extra-organizational component and 18 competency sub-components through Delphi method and using expert panel as competency components of human resource managers in Crisis conditions were selected. According to the results of research on Iranian-Islamic components (rule of religious values - Iranian Islamic morality - central justice) in individual components of personality (pragmatism - adherence to ethics - jihadi spirit) in organizational components (strategic leadership - optimal resource management - intelligence Organizational-citizen-oriented-crisis management) as well as in extra-organizational components (political intelligence-business intelligence-cultural intelligence) were approved as priority indicators.

Carbon emissions related to energy consumptions from the manufacturing industry have become a substantial part of environmental burdens. Carbon emissions related to energy consumptions from the manufacturing industry have become a substantial part of environmental burdens. This study presents carbon emission constraint into the economic lot scheduling problem to reduce carbon emissions. The aim of this research to satisfy customer demand for various items over the planning horizon, with an objective to minimize total costs, includes setup, production, rework and holding costs. In this problem, it is assumed that the production process is defective, and during the process some of the goods are produced with undesirable quality. Defective products can be sold using a rework process. This proposed model has been proven to be a nonlinear convex programming problem. Hence, the optimal solution of this proposed model can be obtained using the derivative method. Finally, a hypothetical example is solved to demonstrate the performance of the proposed exact solution algorithm.

Order picking operation is one of the most well-known labor and cost intensive internal logistics processes. Withdrawal of the order in response to customer need is defined in order to collect a set of orders from storage zone in the shortest possible time. The purpose of this research is to provide a scientific and practical basis considering the constraints that enforce to achieve an acceptable level of performance in order picking systems. This is done by building a Mixed Integer Linear Programming (MILP) formulation and developing an adapted solution method suited to the structure of the problem

First, by reviewing the literature in the field of order picking systems, sufficient knowledge has been obtained at the operational level, and with emphasis on warehouse management constraints, a MILP formulation is proposed by integrating order batching and picker routing. After validating the model and solving it through GAMS software, due to the nature of the problem, which is an NP-hard type, the problem is solved with an efficient algorithm, which is a grouping version of the league championship algorithm, and the results are compared. To develop the algorithm, operators are fit to the specific structure of the problem, i.e., the assignment of orders (items) to order pickers (groups)

Developing a multi-period MILP formulation for multi-trip picker routing, assuming for the first time the possibility of product replenishment and limited access to pickers. For large-scale problem instances, the league championship algorithm is used. The results indicate the effective capability and efficiency of this algorithm for solving large test problem instances.

The issue of multi-period order picking and multi-trip routing of pickers is considered for the first time ‎in this paper. Because of the limited number of pickers, this must be taken into account in modeling. ‎The assumption of product replenishment is also considered for the first time in this article and its ‎modeling has been done. In this way, orders enter the warehouse over time, during different periods, ‎and are placed in a predetermined positions. The limited access to pickers in each period is also ‎discussed for the first time in this paper. Finally, the objective function of minimizing the total ‎tardiness, which is in line with the needs of the industry, is also introduced in this paper. Regarding the ‎solution method, a league championship metaheuristic algorithm is presented which takes into ‎account the problem structure (which corresponds to the structure of grouping problems) and ‎solution generation operators have been developed to maintain the new solution.‎

Home Healthcare provides a wide range of home care services from prevention to rehabilitation and primary care to professional nursing services. This research presents a two-objective mathematical model based on the mixed integer linear programming approach for the home healthcare routing and scheduling problem (HHCRSP) with the objectives of minimization the nurses’ travel costs and the maximal working time difference among nurses. Considering the multimodal transportation, several initial health centers and one final health center and patient and nurse time windows are important features of the studied mathematical model. Small-sized problems have solved by using the Ɛ-constraint method on GAMS software. Also, due to the NP-hardness of the problem, MOPSO and NSGA-II algorithms have used to solve the medium and large-sized problems. The statistical results showed that the NSGA-II performed better than the MOPSO for medium and large sizes of problems in both MID and NOS performance metrics. Overall, Results of the performance metrics on different sizes of problems indicate the efficient and effective performance of NSGA-II in solving the understudied problem.

Today, in most hospitals in Iran, there is an extensive database of patient characteristics that includes a large amount of information related to medical, family and medical records. Finding a knowledge model of this information can help to predict the performance of the medical system and improve educational processes.

Data mining techniques are analytical tools that are used to extract meaningful knowledge from a large data set. In this study, the information of 500 people referred to Shahid Bolandian Health Center in Qazvin has been used. In this research, a predicted model has been performed using decision tree data mining methods and neural network and Bayesian network.

The decision tree model has the highest accuracy and the Bayesian network has the lowest accuracy in diagnosing diabetic patients, and consequently the decision tree has the least error and the Bayesian network has the highest error. The decision tree model with 95.68% had the highest accuracy in prediction.

Fat has the greatest effect in predicting diabetes and gender has the least effect in predicting diabetes. Based on the decision tree analysis, the rules obtained among the stated characteristics of age and sugar variables have the greatest effect in predicting the occurrence of diabetes (according to software analysis) and by creating a proper diet can prevent this disease Prevented.

Hubs facilitate aggregation of connection, and switching points of material and people flow to reduce costs as well as environmental pollution. Hub Location Problem (HLP) is a relatively new research field of classical location issues. In this regard, this paper provides a tourist hub location problem to procure essential commodities, which characterized with non-negligible dynamics of demand. Dealing with a high level of change in demand for these goods over time, the possibility of establishment, renovation, or renting the distribution centers have been formulated in the proposed mathematical model. Finding the best location for distribution centers, the model aims to minimize the routing cost between production centers and retailers, along with emitting pollution from vehicles as less as possible. As the proposed model is bi-objective, that is minimizing costs and pollution emission, two Pareto-based solution methodologies, namely the non-dominated sorting genetic algorithm (NSGA-II) and non-dominated ranking genetic algorithm (NRGA), are used. Since the obtained results from these algorithms are highly dependent on the value of parameters, the Taguchi method is adopted to tune the parameters of two solution methodologies. Finally, to verify the proper performance of two solution methodologies, numerical examples in different scales are generated. The obtained results from all scales and solution methodologies indicate that the new modeling approach to the possibility of establishment, renovation, or renting the distribution centers results in lower costs and pollution emission. The results indicate that supply chain costs and environmental impacts increase by increasing the demand. The number of established distribution hubs also increases by increasing the demand.

This research has been conducted to design a model for Sustainable Human Resources Management (SHRM) aligned with sustainable good goverance in Iran’s administrative system.

This research is an applied one which was done using a mixed method. The intended strategy for this research method was a sequential-heuristic one. The qualitative part of the study was done through theme analysis method, and the quantitative part was conducted using descriptive-survey method. In this research, triangulation strategy was used for validation. The method of intrasubject agreement of two encoders (raters) was used to calculate the reliability. The reliability of the encoders for the articles in this study was 0.87.

The analysis of qualitative data resulted in the identification of 39 basic themes, 8 organizing themes and 3 global themes that were presented in the format of a model. Also, one-sample T-test was used to decide on elimination of the themes that are not well connected to the model. Since the mean of all indexes was above 3.66, it can be concluded that according to the experts’ view, all identified themes are related to SHRM model in Iranian administrative system and there is a consensus on their importance among all HRM and administrative managers.

The study showed that the current view in SHRM is not inclusive and value driven. Therefore the the desired model is presented based on the Upstream policies of Iranian Administrative System to achieve good goverance.

The present scenario of supply chain management is full of uncertainty due to the intrinsic complexity of operating environments. A perishable products supply chain is not an exception and is often vulnerable to disruptive incidents throughout all stages from upstream to downstream. To deal with such a challenge, a resilient structure of the supply chain with the capability to recover from or react to disruptions is approached in this study. To secure the supply chain operations, we investigate a set of proactive strategies, including signing contracts with backup suppliers, reserving extra capacity in production facilities, lateral transshipment, and keeping inventory. Using a two-stage stochastic programming model, this study examines the extent to which supply chain responsiveness and resilience are supportive. The proposed model is validated through a numerical example, and managerial insights are derived. The computational results are based on three analyses: (1) extracting the relationship between the cost function and the acceptable service levels, (2) examining the effectiveness of different strategies in managing disruptions, (3) and evaluating the accuracy of the two-stage stochastic programming approach in comparison with other approaches.

Human resource (HR) managers are the most decisive factors in the success or failure of organizations and realize the organization’s goals with their competency.  Since managers competency under crisis is completely different from that under normal circumstances and recognizing these competencies seems essential for effective management, this research was conducted to propose a competency model for human resources management [HRM] under crisis. This study applied a descriptive survey in terms of methodology and objective. The population comprised 35 experts and 2430 employees of Red Crescent, Municipality, and Provincial Government of Tehran, Iran. Two methods used to analyze research data and obtain results were the Delphi technique with interpretive structural modelling and factor analysis. According to the analysis, as viewed by experts, 5 factors, including Iranian-Islamic, personality, interpersonal, organizational, and extra-organizational components, along with 18 subcomponents were determined as components of competence for HR managers in crises.   Results showed that the following were accepted as priority indices from each component: domination of religious values, Iranian-Islamic morality, and fairness from the Iranian-Islamic components; pragmatism, adherence to morality, and assiduousness from the personality components; strategic leadership, efficient resource allocation, organizational intelligence, citizen orientation, and crisis management from the organizational component; and political intelligence, business acumen, and cultural Intelligence from the extra-organizational components.

One of the factors affecting the prognosis of distal radius fracture is anatomical correction. Several studies conducted in connection with the reconstruction of anatomical and functional consequences, which have had conflicted results. This study has been designed and implemented aimed to investigate the relationship between radiological index (anatomical) after displaced distal radius fractures with function and clinical outcomes.

This is a retrospective cohort study to assess the association of radiological indices with clinical and functional outcomes of distal radius fractures. In this study, radiological indices, including the radius, volar tilt, tear drop angle, articular cavity depth and AP Distance were investigated. Pinch and grip strength were measured and Quick DASH questionnaire evaluated the performance.

Pain score significantly correlated with radial shortening (P=0,038), but it was not independent of treatment method. Patients’ satisfaction rate was significantly lower in patients with abnormal articular depth, independent of age and treatment method (P=0.004). Quick-DASH score significantly correlated with radial shortening and articular cavity depth, independent of treatment method and age (P=0.006). Percutaneous pinning associated significantly with less pain, less disability and more satisfaction (P<0.05).

Radial shortening, articular cavity depth had a correlation with the clinical and functional outcomes. While Some studies suggested radiological indices in the elderly is not necessarily have a correlation with functional outcomes, in this study correlation of radiologic indices with clinical and functional outcome was independent of age.

Locational decisions, routing and allocation in supply chain management philosophy is undoubtedly one of the most important issues that affect the frequency of the supply chain cost reduction and customer satisfaction. This paper presents an integrated approach to the distribution network. The objective function of the proposed mathematical model consists of minimizing the total costs associated with transportation and warehouse rental costs and also minimize the risk of system. The model has high computational complexity and the exact method of solving it is not possible in a reasonable time. The result is an innovative multi-objective algorithm known as the objective harmony search algorithm is presented. To demonstrate the effectiveness and efficiency of the proposed algorithm to solve the model using the Taguchi method algorithm parameters are adjusted in the best possible rates. Then a random sample of the issues and the performance of the proposed algorithm with NSGA-ǁ and NRGA evaluated.

In today’s world, there are different building performance assessment standards, which mostly adopt an environmental approach to buildings. Standards are the common language of countries and the world. By providing a common language, a standard can guarantee health and safety for the entire consumers, products, and services. The global village determines a wide range of rights and responsibilities for citizens, including the areas of safety, health, environment, and saving energy. In the building industry, different performance assessment methods are practiced in the world to promote the culture of a healthy life, including the ranking systems BEAM, LEED, and BREEAM. Assessment of building performance is a complex issue because it has to meet several criteria and it is necessary to establish consistency and consistency between these criteria. These include energy consumption, acoustic performance, thermal comfort, indoor air quality and many other issues. Building performance is a critical aspect of organizational activity that is influenced by building maintenance policies and practices.Today, the measurement of building HSE performance assessment criteria is becoming an essential exercise due to legal processes and rules and individuals’ increased knowledge of the safety, health, environment, energy consumption, welfare, and elegance of buildings. Building performance assessment criteria may be employed to assess the effects of different management activities in this area, consequently providing a good mechanism to supervise the building’s performance to move toward HSE. One of the most important issues in the performance appraisal process is the impact of evaluatorschr('39') personal judgment on performance appraisal results. Research by some researchers has addressed the impact of appraisal judgments on the appraisal process and has identified this as one of the most important challenges of performance appraisal processes.The use of multi-criteria decision making models can be very effective in this regard. One of the best practices that can be addressed in this regard is DEMATEL, in which it considers the intrinsic relationships between factors affecting performance indicators. Structural models can be used to determine relationships between evaluation criteria. Interpretive structural modeling approach has been used to increase data analytics capability and reduce system complexity. ISM is an interactive learning process introduced by Warfield in 1973. Interpretive structural models are able to determine the relationship between indices that are interdependent individually or in groups, and to analyze the relationship between indices by analyzing criteria at several different levels.This study aims to identify and rank factors impacting buildings’ HSE performance via the Fuzzy DEMATEL Approach and Interpretive Structural Modeling (ISL).

This study is applicable in terms of objectives and descriptive-casual in terms of methodology. Using available resources and eight experts’ views, 24 factors were identified in four areas: 1) structure, 2) architecture, 3) mechanical, and 4) electrical. Then, they were scored by the experts on the 9-point Likert scale. Those with a mean score above 5 were selected. The experts’ selection criteria were classified into four groups. Then, their relationships and ranks were determined by using DEMATEL and ISM methods. Moreover, the relationships’ strengths and the criteria’s effectiveness and susceptibility were explored via the Fuzzy DEMATEL technique. The ISM and FDEMATEL results were used for two

first, to confirm and verify the results of both methods and second, to improve the obtained results. In this study, the prioritization derived from the FDEMATEL method confirmed and improved the ISM prioritization. By combining the two methods, a conceptual model of building HSE performance assessment can be defined. The reason for using both interpretive structural modeling and DEMATEL is that the interpretive structural modeling method only determines the level of impact of the overlapping factors. And it helps to identify the internal relationships between the factors. In other words, interpretive structural modeling is a good technique for analyzing the influence of one factor on other factors and can help to prioritize and determine the level of factors in a system. Whereas, the DEMATEL method has the ability to quantify the intensity of the interactions among the factors and to show how effective the factors are with each other. Penetration-Dependency Analysis (MICMAC) Impact-dependency power analysis is used to analyze the driving forces and the dependent forces of the variables. The sum of the values ​​in the final access matrix for each element indicates the extent of penetration and the column sum will indicate the degree of dependence. Due to their dependence on conductor factors, they are considered followers. Based on the power of influence and dependency, four groups of identifiable elements will be:1- Autonomous Attributes: Factors that have weak influence and dependence.2- Dependent Attributes: Factors that have low penetration power but are highly dependent.3- Linkage Attributes: Factors that have high influence and dependence.4- Driver Attributes: Factors that have strong influence but weak dependence.

The FDEMATEL findings suggested that the structure’s safety, electrical safety, and saving energy in the mechanical area were the most effective factors, respectively, while architectural environment protection, saving architectural energy, and architectural elegance were the least important impacting factors. At the same time, ISM findings indicated that mechanical elegance and electrical welfare in the dependent group were factors with low influence but high dependence, while mechanical environment protection, saving electrical energy, and mechanical health in the independent group were factors with a strong influence but weak dependence. Based on the power of influence and dependency, four groups of identifiable elements will be:1-Structural health factors, environmental protection of structures, energy conservation of structures, architectural health, electrical health, electrical environment and electrical beauty in the autonomous group: factors that have weak influence and dependence.2- Mechanical aesthetic factors and electrical welfare in the dependent group: factors that have low penetration power but are highly dependent.3- Structural safety factors, structural well-being, structural beauty, architectural safety, architectural environmental protection, architectural energy saving, architectural well-being, architectural beauty, mechanical safety, mechanical energy saving, mechanical well-being and electrical safety in Interconnected Group: Factors that have high influence and dependence.4- Environmental protection, electrical energy saving, and mechanical health factors in the independent group: Factors that have strong penetration power but poor dependency.

There are different performance assessment standards in the building industries of countries in the world to improve health, including the BEAM, LEED, and BREEAM ranking systems. These standards are mostly concerned with environmental problems and energy consumption and none of them consider building performance assessment with safety, health, environment protection, saving energy, and elegance. Performance criteria ranking with the consideration of conditions governing the studied area enables material producers and suppliers in the building industry construct buildings according to the views on the area to enhance comfort feeling in them. Furthermore, the consideration of safety and health criteria in the material provision, construction, and use processes of buildings may increase the health and safety levels of the construction industry, which is referred to as one of the most dangerous industries. The combination of the HSE criteria with energy, comfort, and elegance is one of the most important practices in the performance assessment of the building industry, which was considered in this study. The determination of their relationships, as well as the effectiveness and susceptibility of each criterion and its sub criteria, can be very essential in building performance control and management, which was considered by this study.

The weaknesses in the proactivity of Iranian governmental organizations have led the researcher to present a model for proactive organizations in Iranian governmental agencies. The research method is a descriptive survey, with the applied objective. By reviewing the theoretical basics and literature, and interviewing with the experts, a conceptual model has been designed for the research that demonstrates the desired state of proactivity in the Provincial Government, agriculture jihad organization, property office, Department of Culture and Islamic Guidance; including four dimensions of human relations, open system, rational goals and internal process, and six components of mindfulness, learning, stakeholder interest (government referees), resilience, inter-organizational communication, monitoring and scrutiny, which are repeated in all four dimensions.
Accordingly, a questionnaire was designed and after collecting questionnaires at the Fars provincial governorate, Fars Department of Culture and Islamic Guidance, Fars Agricultural Jihad Organization, Fars General Department of Economics and Finance, data were analyzed. For each organization, the numbers obtained for dimensions were entered into the MATLAB software and have been analyzed with deduction fuzzy control method. The results showed that, the Agricultural Jihad Organization of Fars province is ranked first regarding proactivity in 1397 And the other three organizations were in second place, then the analytical model (current state of the proactivity) with the conceptual model (desired status of proactivity) is compared for each organization and suggestions are made to fill the gap between the current situation with the desired one for each dimension.

Organizational responsiveness is a necessity in a changing world and since the Islamic Republic of Iran's law enforcement should be able to prevent future problems from occurring and lead to change in order to build a good future, the present study aimed to determine the optimal response rate. The Islamic Republic of Iran was detained.

The research method was quantitative, the purpose of applied research and the type of descriptive survey. The statistical population of the study consisted of 200 police personnel in Fars province. 200 questionnaires were distributed and 199 questionnaires were collected. The research instrument was a researcher-made questionnaire. The validity of the questionnaire was confirmed by face validity and content validity. The reliability of the questionnaire was obtained by calculating Cronbach's alpha coefficient of 0.8. The statistical method of data analysis was fuzzy control.

The findings of the study showed that the desirable situation for having a proactive organization in the Islamic Republic of Iran police force came from the combination of human relations, open system, internal process and rational goals. Also in the Fars province police, the existing situation is more than anticipated in terms of human relations and open system. In terms of rational goals and the internal process, the status quo is less than needed.
 

The desirable level of proactivity of IRI police was 91.5 out of 100; considering the fact that the present situation is not in accordance with the desirable situation in Fars Province Police, it is concluded that the weakness in proactivity in this organization.

Supplier selection is the process by which firms identify, evaluate, and contract with suppliers. The supplier selection process deploys a tremendous amount of a firm's financial resources. Nowadays, supplying the required resource of organizations has become an important business approach so a competitive advantage may be gained by the selection of the best suppliers to provide products/services more effectively and efficiently. Many models have been developed for solving supplier selection problem. In this paper, in addition to considering the incremental discount strategies, cost of shortages is also considered so far has not been considered. In this model, two objective functions of cost minimization of the buyer, and maximize quality of product is considered. To solve the proposed supplier selection model, an improved harmony search algorithm is used. The results show that the proposed algorithm works properly in the term of both CPU time and the quality of solutions. Finally, some numerical examples for model analyses are presented.

Distal radius fracture (DRF) is one of the most common upper limb fractures, which is associated with osteoporosis and vitamin D deficiency, especially in old adults.

The aimof this studywas to evaluate the effectof supplementary vitaminDongrip strength, pinchpower, painintensity, and DASH score in post-menopausal females after distal radius fractures.

Fifty-two post-menopausal women with distal radius fractures were enrolled in a randomized single-blinded multicenter trial from January 2015 to January 2016 (IRCT registration number: IRCT20160830029603N7). Patients with pre-operative serum vitamin D level of 30 to 100 ng/mL were enrolled in the study. Patients were divided into two randomized groups including groups with and without supplementation of vitamin D [25 women in intervention group (50,000 IU supplementary vitamin D, every 4 weeks for 6 months) and 27 women in placebo group]. Grip strength, pinch power, pain intensity, and DASH score pre-operatively and at three and six months after the surgery were measured; the obtained data were analyzed using SPSS version 16.

The subjects’ mean age in vitamin D supplemented and placebo group was 57.98 ± 7.15 and 59.15 ± 8.03, respectively. The mean grip strength of patients in vitamin D supplemented group was significantly higher than the placebo group on both the third and sixth months (P = 0.011 and P = 0.003, respectively). The pinch power was significantly increased on the sixth month compared to the third month in patients with revised vitamin D supplementation (1.32 ± 2.14 and 0.67 ± 0.96 respectively, P = 0.0001). There was no statistically significant difference between the two groups in terms of mean VAS and DASH scores at the end of the study (P = 241, P = 0.665, respectively).

Vitamin D supplementation was significantly helpful in improving grip strength recovery in post-menopausal women after distal radius fracture, however, no significant differences were observed in supplementation of vitamin D on pinchpower and pain intensity after distal radius fractures.

Non-syndromic bilateral humeroradial synostosis is a very rare congenital anomalies of the upper limbs. This condition often occurs in conjunction with various syndromes and is associated with a positive family history. Herein, we report a 6 year old boy with non-syndromic bilateral humeroradial synostosis, without aplasia, hypoplasia or family history. Both elbows were constant at 90 degrees flexion and the patient was not able to perform supination and pronation. Internal rotation, external rotation, and abduction movements of shoulder were normal. Except bilateral humero radial synostosis, findings of physical examinations, lab tests, and imaging were normal. Parents rejected surgical treatment.