Motivation of human capital management issues and concepts in the writings of many of the incentives proposed by different scientists have been discussed. Effective management of human resources, organizational theorists believe the key to success and the rapid movement of organizations toward technology as a vital and strategic role of human agency is further considered. This issue is more important and intriguing because of the nature of the project in employee motivation or incentive for these organizations to reduce their ability to demonstrate creativity and does not create. This study intends to identify factors influencing satisfaction with the use of statistical methods and techniques to provide guidelines for improving job satisfaction. The results show that job security and surveillance activities director on staff can be effective in increasing job satisfaction.

Pre-existing malnutrition has been reported to affect a high percentage of cancer patients. Various methods are being used to assess nutritional status in hospitalized patients. The aim of this study was to apply two different nutritional assessment techniques to determine the prevalence of malnutrition in GI cancer patients and to assess their nutritional status, at admission and seven days after surgery. For this purpose, the nutritional status of fifty one patients who underwent major intraabdominal surgery was assessed. The Subjective Global Assessment (SGA), Nutritional Risk Index (NRI), anthropometric measurements, serum albumin, prealbumin, lymphocyte count and hematocrit were used to assess nutritional status of the patients. At the time of admission, based on the SGA and NRI, 70.6% and 74.5% of the patients were malnourished respectively. Both anthropometric and laboratory data, including weight, body mass index, mid arm circumference, triceps skin fold, mid arm muscle circumference, albumin, prealbumin, hematocrit and lymphocyte decreased significantly seven days after surgery (p<0.01). The malnutrition rates increased significantly to 98% with both the SGA and NRI, seven days after surgery (p<0.01). From the findings of this study it is concluded that there was a high prevalence of malnutrition in GI cancer patients and in almost all patients, nutritional status deteriorated seven days after surgery. Both methods proved useful for detection of the prevalence and development of malnutrition. Based on these results it is suggested that nutritional care after surgery should be improved by providing enough calories via enteral and/or parenteral route.

Introduction: We launched this study to compare subjective global assessment (SGA) and nutrition risk index (NRI) as malnutrition screening tools for nurses to use in the care of End-stage Liver Disease (ESLD) patients. Methods: This pilot study was conducted on liver transplant patients in two hospitals in Iran from May to September 2021. Sensitivity, specificity, and predictive values of NRI were evaluated compared with SGA in ESLD patients. Results: Sixty-five cirrhotic patients were assessed. The sensitivity, specificity, positive and negative predictive values for NRI in detecting malnutrition based on SGA were 97. 67%, 31. 82%, 77. 68%, and 87. 5%, respectively. However, the agreement between NRI and SGA was low (k=0. 349). Changing the NRI cut-off value to 83. 7 could yield acceptable sensitivity (72. 7%) and specificity (58. 1%). Conclusion: NRI can be used as a screening tool in ESLD patients, but a different cut-off might be required to improve its validity against SGA in ESLD patients.

Since Iran has an average of 256 sunny days a year, solar energy in Iran can be used on a large scale. There are many mathematical models for measuring radiation on the surface, but choosing the best model can help measurement accuracy. In this article, first, direct and diffused radiation in Shiraz, Isfahan, Kerman, and Yazd, which are the central cities of Iran, has been calculated. The calculation has been done using the NRI model in MATLAB software. The powers received from this bench are computed in each city and their maximum efficiency is shown. The mentioned solar bench was built with a fixed angle. By comparing the efficiency between the mentioned cities, we identified the city with the most suitable place for building this solar bench. In Kerman, we can receive the highest amount of power throughout the year by using the optimum angle which measured. Due to the location of this city, it was expected to have the highest amount. This article examines the technical methods of using solar systems in urban architecture, emphasizing integration methods. The proposed and implemented model of the solar tree has the options to adjust the optimal angle and beautify passages, parks, and recreation centers. All these features make it useful to charge electronic equipment such as mobile phones, tablets, and electric bicycles through clean solar energy.

Introduction: The Frequency-based method is commonly used to estimate the Net Reclassification Improvement (NRI)-and Integrated Discrimination Improvement (IDI) indices. These indices measure the magnitude of the performance of statistical models when a new biomarker is added. This method has poor performance in some cases, especially in small samples. In this study, the performance of two Bayesian and Frequentist methods were evaluated and compared for the diabetes prediction model in pre-diabetic women. Materials and Methods: A total of 734 pre-diabetic women aged 20 years, participated in the first and second phases of the Tehran Lipid and Glucose Study (TLGS) were enrolled in this research and the logistic regression model was used with variables of the Atherosclerosis Risk in Communities (ARIC) in order to estimate the probability of diabetes. Predictors of diabetes in the ARIC study were waist circumference, hypertension, height, weight, age, family history of diabetes, smoking and pulse rate. The Frequentist and Bayesian methods were used to estimate the NRI and IDI. In addition these methods were compared in a small sample size selected randomly from the primary sample. Statistical analyses were performed using R-software version 3. 1. 3. Results: Estimates of the NRI and IDI indices by the Bayesian and Frequentist methods provided almost similar results. Adding new markers of wrist size, history of macrosomia, and history of preeclampsia to the ARIC model did not show significant effect on the improvement indices. In the small sample size, IDI and NRI showed better performance in the Bayesian method compared to the frequentist method. Conclusion: The Bayesian method had a more reliable performance in comparison with the frequency-based method, especially in small samples.

The level of information today is decisive in the socio-economic development of the country. The purpose of the article is to identify the most influential factors in the process of developing informatization in the context of international globalization. The assessment of factors influencing world information is based on the following stages: forming incoming information about the state of world information, a methodical approach to assessing the impact of world information, modeling the interrelation of components, the influence of world information as hidden factors in the development of information. Factor and correlation analyses are carried out within each cluster with a single level of information by groups of countries. Based on the calculation of factor loads, the most influential indicators have been determined, which serve as the basis for the formation of the informatization process mechanism in the countries of each cluster group. Accordingly, for example, from Innovations and Improvement Factors the major ones were only for second cluster: Government efficiency and Efficiency of goods market and for third cluster was Global Competitiveness Index. The study allowed to determine the main priorities for the development of information in the context of clusters, formed in accordance with the level of information development in the country of each group. Interpretation of the results allowed determining the most influential factors in the development of informatization of the countries of each group, which is the basis for forming recommendations on organizational measures to increase the level of informatization in the context of international globalization.

Due to the high costs of running a water supply network, designing networks with the lowest cost and highest reliability is of great engineering importance. One issue that has been the focus of recent years' research is the comparison of indexes and their relative success in measuring the reliability of water distribution networks. In this paper, a survey was conducted on the nodal pressure performance index, velocity, pressure difference, combined velocity and node pressure index, network flexibility performance index (NRI), minimum head surplus index (MSH) and entropy performance index (ERI) on the Hanoi water distribution network and Pescara juice were performed using the NSGA-II optimization algorithm and EPANET software. Performance of the indexes were tested for three scenarios of 5%, 10% and 20% pipe failure and four different cost levels and 100 iterations. The results showed that in the design of small water distribution network (Hanoi water network) at high and low cost level, NRI performance index and at medium water distribution network (Pescara water network) and at high cost level, NRI performance index and at low cost level, Node pressure performance index (PIP), Provided water requirements of network nodes more than other indexes, and the average pressure in these indexes is higher and causes less pressure drop in the network. Therefore, the use of these indexes in the design and modernization of the network provides greater reliability in the event of unexpected events such as sudden failure or failure of the pipes.