e. najafi

Resilience of the innovation ecosystem as a driving force of knowledge-based economies, provides relative stability against environmental disruptions. Currently, finding a comprehensive framework of factors influencing innovation ecosystem resilience is a major concern of policymakers to effectively select policies of resilience improvement. This research analyzes and presents a comprehensive framework of factors influencing innovation ecosystem resilience by using meta-synthesis approach, confirmatory factor analysis and structural equation modelling. These factors include Adaptability, Innovation Management, Recovery Capability, Culture, Resource, Robustness, Strategic Planning, and Vulnerability. In this paper, Iranian Power Innovation Ecosystem is considered as a case study. The computational results indicate that vulnerability and adaptability are the most influential factors on innovation ecosystem resilience, while recovery capacity and resiliency culture are less impactful factors. The innovative aspects of this study include the use of meta-Synthesis method for systematic review, content analysis, and categorization of influential factors, as well as the presentation of a comprehensive framework based on factor analysis and structural modelling. The findings of this research assist innovation ecosystem policymakers in evaluating various factors and planning accordingly to achieve their desired goals based on the aforementioned framework.

Marital satisfaction can affect both life satisfaction and mental health. Adequate sexual health literacy level can maintain and improve sexual health in individuals. This study aimed to compare the level of marital satisfaction and sexual health literacy in fertile and infertile couples.

This descriptive-cross-sectional study was conducted on 262 couples (including 136 fertile couples and 126 infertile couples) in the north and northwest of Iran during 2020-2021. The data were collected using a demographic characteristics questionnaire, a sexual health literacy for adult questionnaire, and a short-form enrich marital satisfaction scale. The collected data were analyzed using descriptive and inferential statistics in SPSS 26 Software.

The mean±SD of marital satisfaction in fertile and infertile couples was 36.93±6.58 and 36.05±6.25, respectively and this mean difference was not statistically significant (p=0.121). The mean±SD of sexual health literacy score in fertile and infertile women was 75.69±17.29, and 67.76±20.26 respectively, and it was calculated 76.89±16.22, and 67.66±20.46, in fertile and infertile men respectively. This mean difference was statistically significant (p=0.001) in both groups.  Furthermore, the husband’s education level and duration of marriage were regarded as determinants of marital satisfaction among all participants (p<0.05).

The sexual health literacy level in fertile couples is higher than in infertile ones.

According to the high importance of the university in the growth and development of the country, the evaluation performance of educational and research groups in universities is very important. The black-box Data Envelopment Analysis (DEA) model is mathematical programming for measuring the relative efficiency of a set of DMUs, without considering the operations of the component processes that may have misleading results. To overcome this defect, network models are recommended. This paper intends to propose a hybrid Intuitionistic Fuzzy Analysis Network Process (IFANP) and Network DEA (NDEA) technique to evaluate the efficiency of the faculty of basic sciences of Islamic Azad University. The IFANP method is used to evaluate the overall weights among all the criteria and sub-criteria and these weights are used in the NDEA model to measure the relative efficiency of a system. The hypothetical example shows that the efficiency of all DMUs is equal to 1 by using the DEA, and there is no ranking between DMUs. The results of the IFANP-NDEA are more meaningful because of the full ranking of DMUs, considering component process operations. Also, it can prioritize efficient DMUs, provide the efficiencies of the DMU’s functions which enables managers to identify areas of weakness.

One of the goals of the Islamic Revolution of Iran is conceptual use of Islamic knowledge and values ​​in all pillars of the system and at different levels of the people. One of the most important factors that can achieve this holy goal is the efficiency of the holy system of the Islamic Republic.In political science, efficiency or effectiveness indicates the ability to run a country by competent managers and perform the special work of government specialties and gain the maximum satisfaction of the people. In present study using descriptive-analytical methods and applied type, an attempt has been made to ask the question "What is the effect of efficient factors on the formulation of the internal conceptual using strategy of the Islamic Revolution?" to be answered. For this purpose, in order to confirm the enumerated factors on the development of the above strategy, two types of questionnaires were completely distributed among a statistical population of 40 people and after gathering datas from the statistical population data analysis and Friedman test were used for analyzing. The results include 29 factors affecting the efficiency of the system (10 factors of strength, 5 factors of weakness, 9 factors of opportunity and 5 factors of threat) for deepening (conceptual using)  the internal part of the Islamic Revolution.

To reduce urolithiasis and its socioeconomic burden for people at risk, adopting preventive strategies aimed at modifying lifestyle factors may be effective. Therefore, the present study aimed to determine the status of health-promoting lifestyle in patients with urolithiasis and its relationship with some socio-demographic factors.

This cross-sectional study is descriptive-analytical in which 300 patients with urolithiasis referred to Rasht medical centers were studied as sample. Data were collected using a socio-demographic and health-promoting lifestyle questionnaire. To interpret the data, SPSS software and descriptive statistical methods, independent t-test, one-way analysis of variance, Spearman, and multiple linear regressions were used.

Mean and standard deviation of overall health-promoting lifestyle score was 2.57±0.47, which indicates a downward average lifestyle status. The highest score was related to the dimension of responsibility towards health (2.92±0.47) and the lowest score was related to interpersonal relationships (2.03±0.64). Multiple linear regression model showed that the variables of family history of kidney stones (p=0.019, β=-1.38) and income (p=0.019, β=0.176) are predictors of health promoting lifestyle (R2=0.21).

Considering that the health-promoting lifestyle score and its dimensions were close to the average score and low in the patients participating in the study, it is better to consider the health-promoting lifestyle as a factor in educating patients with urolithiasis. Also, since the family history of the disease and the amount of income were predictive factors in the lifestyle of these patients, it seems that by increasing awareness about kidney stones and its causative factors and financial support of these patients, their lifestyle can be improved.

Missed nursing care includes all aspects of the partial and general care needed by the patient that has been forgotten or delayed. The aim of this study was to determine the missed care and its related factors in nurses of Ardabil and Khalkhal educational and medical centers in 2020.

The present study was a descriptive-analytical study performed on 414 nurses of Ardabil and Khalkhal educational centers who were selected by random sampling method. Data collection tools were questionnaire of Kalish missed nursing care and its related factors. Data were analyzed using SPSS software and t-test, Chi-square, Pearson correlation and Mann-Whitney tests.

The mean and standard deviation of total score of missed nursing care was 40.47± 9.68 and the highest mean score of missed care was assigned to "rotating the patient every 2 hours" and the highest mean score of related factors with missed care was "the unavailability of drugs when needed". Also, there was no statistically significant difference between the views of nurses working in two universities in missed nursing care and its related factors.

The findings of this study showed that status of missed nursing care was moderate, which can be improved by planning and principled management. Also, the unavailability of all the medicines needed by the patients was the main related factor in the missed nursing care. These medicines and equipment needed by the patients can be provided by managing financial resources. It seems that providing the drugs needed by patients will play a key role in reducing neglected care.

One of the most important issues in the health sector, especially in medical centers, is the quality of care. The quality of care consists of a set of elements, among which patient safety is one of the most important. Nursing error, which is an unintentional error, affects the safety and quality of patient care. This study was performed to determine the relationship between patient safety culture and medication errors of nurses in Ardabil and Khalkhal hospitals.

This was a correlational study conducted in 2020. The study population included all nurses working in Ardabil and Khalkhal educational and medical centers, among them 300 samples were randomly selected. To collect data, the standard questionnaire of patient safety culture and self-made medication error tool were used. Data analysis was performed using Mann-Whitney, Kruskal-Wallis and Spearman tests using SPSS software version 16.

The results showed that the mean score of safety culture was 144.94 14 ±14.82 and the mean score of drug error were 38.96 6±6.04, which indicates the mean status of safety culture and less medication error, respectively. In regard to marital status, single nurses (p=0.001), working in surgery room (p=0.001) and people with promissory employment status (p=0.001) had fewer errors. There was an inverse relationship between age (p=0.001), work experience (p=0.001) and patient safety culture (p=0.001) with the rate of medication error.

The results of this study indicated that the high level of patient safety culture can reduce medication error. Therefore, health officials and hospitals, by holding classes and workshops and briefing programs, should work to promote patient safety culture in staffs of hospitals including doctors and nurses.

In this paper, a new high step-up DC-DC converter is proposed for renewable energy systems. The proposed converter is based on active-network and coupled inductors. Using the coupled inductors alongside active-network leads to high step-up voltage gain in low duty cycle of power switches in such a way that with the same duty cycle and turns ratio of coupled inductors, the voltage gain of the proposed converter is nearly two times more than other counterpart converters. Furthermore, the voltage stress of the semiconductor switches is very low and slightly dependent on the power switches duty cycle and with the same voltage gain, it is less than half of the voltage stress of the other counterpart converters. The steady state operation of the proposed converter is investigated under continuous conduction mode (CCM), discontinuous conduction mode (DCM) and boundary conduction mode (BCM) and also the voltage gain is calculated in CCM and DCM modes. Voltage stress across all semiconductor devices is also achieved in CCM mode. The simulation results confirm the validity of theoretical analysis as well as the proper performance of the proposed converter.

Evidence suggests that underlying diseases increase the severity of influenza and lead to hospitalization or death. This study was conducted to determine the risk factors associated with hospitalization of patients in Afzalipour Hospital, Kerman, Iran during an outbreak of H1N1 influenza in December 2015.

In this case-control study, the case group comprised 85 patients who were hospitalized for influenza and the control group included 51 patients who had influenza symptoms and were discharged after required evaluations and check-up. The data were collected from both groups on a daily basis for two weeks. For data analysis, descriptive analysis, logistic regression analysis, Lasso Regression, and likelihood ratio were used. Analysis was performed using the Stata version 12 and R software.

Among the variables examined, after removal of additional variables, 12 variables were introduced into the multivariate regression. The history of pulmonary disease and diabetes increased the odds of hospitalization following influenza by more than 11 (OR = 11.6, P. value = 0.003) and 9 times (OR = 9, P. value = 0.01), respectively.

Underlying disease and factors play a major role in exacerbating the disease. Therefore, the health system should take the necessary preventive measures when outbreaks occur

Recently the concept of facility efficiency, which defined by data envelopment analysis (DEA), introduced as a location modeling objective, that provides facilities location’s effect on their performance in serving demands. By combining the DEA models with the location problem, two types of “efficiencies” are optimized: spatial efficiency which measured by finding the least cost location and allocation patterns for facilities, and the facility efficiency in serving demands which measured by DEA efficiency score. In this paper, location-allocation models with DEA in interval inputs and outputs environments are combined. A new pair of interval DEA/location models are constructed and run.

Control chart is the most well-known chart to monitor the number of nonconformities per inspection unit where each sample consists of constant size. Generally, the design of a control chart requires determination of sample size, sampling interval, and control limits width. Optimally selecting these parameters depends on several process parameters, which have been considered from statistical and/or economic aspects in the literature. This study presents a multi-objective economic-statistical design (MOESD) of the C control chart. An algorithm using data envelopment analysis (DEA) is employed to solve this model. A numerical example is used to illustrate the algorithm procedure.

Data Envelopment Analysis )DEA( is a technique for measuring the efficiency of decision making units. In all models of the DEA, for each unit under assessment, the numerical efficiency which may be less than or equal to one is obtained. Given the possible large number of efficiency units for evaluating units, we use various methods of ranking. span style="font-family: Cambria Math;font-size:8pt;color:rgb(0,0,0);font-style:normal;font-variant:normal L1 norm is one of the methods of ranking. This method has been used for categorical data. In this paper, we assume data as interval and introducespan style="font-family: Cambria Math;font-size:8pt;color:rgb(0,0,0);font-style:normal;font-variant:normal L1 norm andrun it on a single example.

Measuring the performance of a production system has been an important task in management for purposes of control, planning, etc. Lord Kelvin said :“When you can measure what you are speaking about, and express it in numbers, you know something about it; but when you cannot measure it, when you cannot express it in numbers, your knowledge is of a meager and unsatisfactory kind.” Hence, management knowledge is measurable science and if we can’t measure each subject we can’t control it so management is impossible. We know, the major criteria performance is productivity and we should be able to measure it. Data Envelopment Analysis (DEA), as an evaluation method, can estimate the relative efficiency of organizations systematically. The efficiency of an organization can be benchmarked by using DEA. DEA presents a model for evaluating the performance of a set of comparable decision making units (DMUs). In this paper we developed a new model for calculating productivity with Two-stage data envelopment analysis.

Data envelopment analysis (DEA) is a technique for measuring the efficiency of decision making units. In all models of the DEA, for each unit under assessment, the numerical efficiency is obtained which may be less than or equal to one. Given the possible large number of functional units, we use various ranking methods for evaluating units. One of the rating methods is Balance index and Topsis. This method has been used for categorical data. In this paper, we assume data as interval, introduce the interval Balance index and the interval Topsis and run it on a single example.

Measuring the performance of a production system has been an important task in management forpurposes of control, planning, etc. The Balanced Scorecard allows us to do just that. BSC is widelyused in government and industry because of the clear representation of the relationship and logicbetween the key performance indicators(KPI) of 4 perspectives - financial, customer, internal process,and learning and growth. in the other hand , Traditional studies in data envelopment analysis (DEA)view systems as a whole when measuring the efficiency, ignoring the operation of individualprocesses within a system. We present and demonstrate a multi-criteria approach for evaluating everyprojects in different stages. Our approach integrates the balanced scorecard (BSC) and dataenvelopment analysis (DEA) and develops an extended DEA model. The input and output measuresfor the integrated DEA–BSC model are grouped in “cards” which are associated with " B S C ". Withefficiency decomposition, the process which causes the inefficient operation of the system can beidentified for future improvement. finally we illustrate the proposed approach with a case studyinvolving six banking branches.