Identification Of Effective Factors Research Articles

Job Satisfication and External Effective Factors in Operating Room Nurses Working Educational Hospitals in 2015: A Cross-Sectional Questionnaire Study

INTRODUCTION & AIM: Identification of effective factors on job satisfaction can impact the efficiency and quality of health services and personal life. The Aim of this study was to investigate, Job Satisfaction and External Effective Factors in Operating Room Nurses Educational Hospitals of Zahedan in 2015.MATERIALS & METHODS: This descriptive–analytical study was conducted on 137 operating room Nurses of Ali-Ebne-Abitaleb, Khatam-Al-Anbia and Alzahra hospital in Zahedan, Iran, enrolled through the convenience sampling in 2015. The data were collected by the valid and reliable job satisfaction standard questionnaire or Herzberg's Dual-Factor theory. To analyze the information, descriptive statistics, Chi-square & Pearson correlation test were applied by use of SPSS v. 21 software.FINDINGS: The results found that the most effective factors of job satisfaction were job safety with an average 4/78, work qualification with an average 4/32 and suitable salary with an average 3/91 respectively. Only 45.98% of the nurses experienced moderate job satisfaction, and only 25.54% of them had high job satisfaction. Moreover, job satisfaction was significantly related to the type of employment (p=0. 019), work background (p=0. 029) and turn of work (p=0. 034).CONCLUSION: The data of this study found that, notice and planning in preparing job safety, work qualification and proper salary may play a more effective role in improving employees’ performance than any other factors.

Five Years Survival of Patients After Liver Transplantation and Its Effective Factors by Neural Network and Cox Poroportional Hazard Regression Models

Background:Transplantation is the only treatment for patients with liver failure. Since the therapy imposes high expenses to the patients and community, identification of effective factors on survival of such patients after transplantation is valuable.Objectives:The current study attempted to model the survival of patients (two years old and above) after liver transplantation using neural network and Cox Proportional Hazards (Cox PH) regression models. The event is defined as death due to complications of liver transplantation.Patients and Methods:In a historical cohort study, the clinical findings of 1168 patients who underwent liver transplant surgery (from March 2008 to march 2013) at Shiraz Namazee Hospital Organ Transplantation Center, Shiraz, Southern Iran, were used. To model the one to five years survival of such patients, Cox PH regression model accompanied by three layers feed forward artificial neural network (ANN) method were applied on data separately and their prediction accuracy was compared using the area under the receiver operating characteristic curve (ROC). Furthermore, Kaplan-Meier method was used to estimate the survival probabilities in different years.Results:The estimated survival probability of one to five years for the patients were 91%, 89%, 85%, 84%, and 83%, respectively. The areas under the ROC were 86.4% and 80.7% for ANN and Cox PH models, respectively. In addition, the accuracy of prediction rate for ANN and Cox PH methods was equally 92.73%.Conclusions:The present study detected more accurate results for ANN method compared to those of Cox PH model to analyze the survival of patients with liver transplantation. Furthermore, the order of effective factors in patients’ survival after transplantation was clinically more acceptable. The large dataset with a few missing data was the advantage of this study, the fact which makes the results more reliable.

Effective factors to control of environmental contaminators in Iran with an emphasis on the significance of investment in information technology

With an escalation in economic activities green gases are known the most detrimental factors threatening the communities and natural ecosystems in the world as well as in Iran. Identification of effective variables in terms of greenhouse gases emission may shape programs aimed at control of pollutions. The research has aimed at identification of effective factors on carbon dioxide emission as an environmental destruction index for Iran and the years from 1979 to 2013. The Kuznets curve was used to determine the relationship between pollution and economic growth in different countries. With the use of Johansen co-integration approach the research was focused on the analysis of the factors effective on carbon dioxide gas emission. The results show that the variables like investment in information technology, energy price, the ratio of surplus value and gross domestic product and energy intensity have significant effects on carbon dioxide emission. Due to the accumulation of capitals in communicative technology the hypothesis affirmative of the applicability of the inverse U-shaped Kuznets curve to the economy of Iran cannot be rejected.

Administrative Health Forecasting, through the identification of effective factors within the organization (Case Study: Fiscal Organization in the South Khorasan province)

Today one of the most important damage that threatens the social new order in the bureaucratic and administrative is the issue of corruption and administrative chaos that in front of the office health is considered as one of the most basic concern of executive authorities. Administrative system in any society is the executive arm of the political system in that community and its true or false Performance can sustain the political system or put it away from legitimacy. The fundamental attention to the administrative system in each society and exact pathology (administrative corruption) can be a great help to the policy makers of that community in which with timely diagnosis, they think about required solutions. In this context, this study sought to examine the affecting organizational factors relationship on the administrative health in fiscal affairs of organization in South Khorasan. Due to the nature of this study and according to the intended purpose, this study in terms method is correlation type and from purpose view is a practical one. A questionnaire was used to collect data and obtained data were analyzed using SPSS software and statistical analysis methods. The validity of a questionnaire designed was approved by the expert opinions and professors in the relevant organization. Cranach's alpha of the questionnaire was 78/0 that confirmed its reliability. Finally, the relationship between determined organizational factors and health administrative was approved and the effectiveness of each of these factors was identified using regression methods.

Identification of effective factors on customer loyalty with mobile industry

Identification of effective factors on customer loyalty with mobile industry

Understanding of groundwater salinity using statistical modeling in a small tropical island, East Malaysia

This paper presents an understanding of groundwater salinity by identification of effective factors using chemometric methods (cluster analysis and multiple linear regressions) in Manukan Island, Sabah. Local groundwater and environmental properties were used to explore the effective factors of groundwater salinity. Cluster analysis showed salinity and chloride illustrated the highest similarities. Electrical conductivity and total dissolved solids were also grouped in the same cluster. Seawater is the only chloride source in groundwater of Manukan Island demonstrated an indication of seawater mixing in freshwater. It is an effect of upward movement of the seawater by pumping activities. Precipitation and evapotranspiration (environmental condition) with hydraulic heads were clustered together to show that they also influence salinity concentration in groundwater. Multiple linear regressions showed descending order of the factors from chloride (the largest contribution) to evapotranspiration (the smallest contribution) and illustrated the contribution to groundwater salinity in Manukan Island. The integrated results using chemometric methods have provided a way to identify the effective factors on groundwater salinity. This similar approach and resulting equation can be applied in other small tropical islands with alike hydrogeological condition and limited information available for a better understanding of its groundwater salinity.

The Role of Wind and Natural Ventilation in the Vernacular Architecture of Zavareh

The identification of effective factors in the historical formation of architecture can help develop architecture and its various aspects (Mofidi, 2005). These factors may be classified in the groups of cultural, historical and climatic. Specifically, the application of the native and traditional basis of past architecture can be highly significant for the improvement of contemporary architecture (Fathy, 1986).Zavareh is one of the most important and ancient cities of Iran which has partially retained its vernacular architectural structural texture. Historical factors such as social change and evolution, urban changes and climatic-morphological changes have all influenced its architecture (Vang and Grout, 2004). Wind is an important climatic factor for the ventilation of buildings, the provision of cooling and even the ventilation of the entire city. Therefore wind has played an important role in the city’s architecture. This paper considers the role of wind and its influence on residential architecture. Climatic changes are concluded to be a predominant factor in the creation of new styles within recent periods. By reviewing the evolution of buildings the recommendations for modern architecture are presented.