Identifying the success factors of knowledge management tools in research projects (Case study: A corporate university)

This research investigates the factors affecting the success of KM tools in the research projects of a corporate university. The research method is descriptive and the statistical population of the study consisted of all professors and knowledge workers of a university. 147 of them were selected through a targeted sampling method. Data collection was conducted through a questionnaire. To determine the validity of the questionnaire, content and formal validity were used and its reliability was calculated by using Cronbach's alpha with the value calculated of 0.83. Data were analyzed by using descriptive statistics, t-test and Friedman test. In this study, the factors of culture, information technology, strategy and goal, organizational infrastructure, employee motivation, leadership and management support, human resources management, education, financial resources, measurement, processes and activities, structure and communications in the knowledge management cycle of research projects of the university studied were identified as the effective factors in the KM cycle

A two-stage method for assessing the efficiency of the three-stage series network data envelopment analysis model with two feedback

Data envelopment analysis models play an important role in decision making. In this paper, one-stage and two-stage nonlinear programming problems are investigated in order to evaluate the efficiency of two types of network data envelopment analysis model. The first type of network data envelopment analysis model has a series structure with three stages and a feedback between the last step and the middle step, the second model has a three-stage series structure with two feedback between the final step and the first step and the middle step. By examining the overall efficiency of the models based on the one-stage programming problem, a two-stage programming problem is also applied in order to evaluate the efficiency of each step. In order to solve one-stage nonlinear programming problems and two-stage linear and nonlinear programming problems derived from modeling, a linearization method based on coordinate transformation, and constant assumption and gradual growth of some variables is presented. In the last section, the proposed methods have been discussed using some numerical examples

Evaluation of residence time on nitrogen oxides removal in non-thermal plasma reactor

Non-thermal plasma (NTP) has been introduced over the last few years as a promising after- treatment system for nitrogen oxides and particulate matter removal from diesel exhaust. NTP technology has not been commercialised as yet, due to its high rate of energy consumption. Therefore, it is important to seek out new methods to improve NTP performance. Residence time is a crucial parameter in engine exhaust emissions treatment. In this paper, different electrode shapes are analysed and the corresponding residence time and NOx removal efficiency are studied. An axisymmetric laminar model is used for obtaining residence time distribution numerically using FLUENT software. If the mean residence time in a NTP plasma reactor increases, there will be a corresponding increase in the reaction time and consequently the pollutant removal efficiency increases. Three different screw thread electrodes and a rod electrode are examined. The results show the advantage of screw thread electrodes in comparison with the rod electrode. Furthermore,between the screw thread electrodes, the electrode with the thread width of 1 mm has the highest NOx removal due to higher residence time and a greater number of micro-discharges. The results show that the residence time of the screw thread electrode with a thread width of 1 mm is 21% more than for the rod electrode

Assessment of student’s talent management in a corporate university

The purpose of this study was to evaluate the student’s talent management of a corporate university in Iran by descriptive-analytic method. The statistical population of the study included all 2200 students of the university. Based on the estimated number at Morgan table, 202 respondents completed the survey instrument. The data collecting tool of the questionnaire was ascertained and its reliability was obtained 78 percent by Cronbach's alpha coefficient. Content validity of the tool was also veri-fied by the experts. For data analysis, the binomial test and Structural Equation Modeling (SEM) were used. The results show that none of the components of talent management (deployment and employment, career progression path, practical learning, performance management, knowledge sharing, self-development, training, appreciation and encouragement) in the studied university was in desire conditions. Other findings of the study also show that among organizational factors, compo-nents of “organizational culture”, “supervisor satisfaction”, “organizational dynamics”, “working environment conditions”, “colleagues”, “prestige and brand of the university” and “growth oppor-tunity” were influential on the students’ talent development. Also, the results of the data analysis show that among the components of job factors, the component of “person-job fitness” affects the development of students' talents

Application of cascade antenna array to diagnose plasma bullets and investigation the ‎velocity of bullets in an argon plasma jet

In this study, a new method for measuring the velocity of plasma bullets, based on receiving and detecting the electrical signal of the bullets using an array of cascading antennas in an argon plasma jet with a tip-ring structure is presented. In this structure, the tip electrode plays the role of igniter of plasma generation and the ring electrode plays the role of controlling the plasma jet. To study the variations in the plasma jet, the ring electrode was located at different distances from the tip electrode and the variations in the velocity of the bullets were measured. The experiments showed that if the two electrodes were 1.5 cm apart, at a distance of 15 cm from the plasma formation site, the velocity of the bullets would be about 140 km/s. If the two electrodes are 3.25 cm apart, the bullets will have a speed of about 120 km/s, and if the two electrodes are 5 cm apart, the bullets will have a speed of about 100 km/s. Examination of the results showed that by increasing the distance between the two electrodes, the velocity of plasma bullets also decreases significantly. The results also showed that by moving away from the plasma formation site in the jet tube, the average velocity of plasma bullets increases. For example, at a distance of 21 cm from it, the average speed of plasma bullets in all three configurations will be about 120 km/s. Finally, by varying the electrical power, we concluded that as the electrical power increases, the speed of the bullets increases. According to the obtained results, by doubling the applied power, it was observed that at a distance of 15 cm from the place of plasma formation, the velocity of the bullets will be about 40 km/s at lower power and about 90 km/s at higher power; These results are obtained if the distance between the two electrodes is 3.25 cm and the initial electrical power is 20 Watts

Optimization of ultrasonic Bath and cold plasma pre‐treatments in the spearmint essential oil isolation process

Abstract Spearmint essential oil (SEO), one of the economically valuable natural products, has special importance in the food, pharmaceutical, and perfumery industries due to its antifungal, antioxidant, and enzyme inhibitory properties. In this study, we optimized and evaluated the effect of three pre‐treatments on the extraction of SEO for quantity and quality: ultrasonic bath (UB), water to material ratio‐ultrasonic bath (W/M‐UB), and cold plasma‐ultrasonic bath (CP‐UB). Three experiments were designed using the central composite design (CCD) of response surface methodology (RSM). Experimental treatments included UB temperature (30–80°C) and time duration (1–30 min), cold plasma (CP) power (15–24 kV), and water/material ratio (10–40). Then, SEOs were extracted by hydro‐distillation using the Clevenger apparatus. The results showed that SEO yield in the optimal conditions of treatments was 119.7%, 206.6%, and 155.7% higher in UB, W/M‐UB, and CP‐UB pretreatments respectively, in comparison to control sample and optimized conditions were UB temperature: 37.3°C and UB time: 5.2 min at UB treatment, 33.9 of W/M ratio, 69.9°C of UB temperature and 6.9 min of UB time at W/M‐UB treatment and CP power: 22.176, UB temperature: 40.135 and UB time: 24.122 at CP‐UB treatment. Oxygenated monoterpenes were also higher in the essential oils (EOs) of all three treated plant materials. In conclusion, the SEO extraction yield improved by the application of the pretreatments in optimized conditions

Dynamics of ionisation wave propagation in an applied external electric field

This study presents spatio-temporal development of the ionisation waves (IWs) along one dielectric tube with an extra alternating electric field. A pulsed direct current power supply is used for generating the IWs, and another alternating current power supply is used for altering the distribution of electric fields along the dielectric tube. The measurements show that the propagation velocity and density of IWs are strongly affected by the external electric field. The direct relation between external electric field and the velocity of the IWs is demonstrated. Further analysis indicates that the external electric field can be utilised to control the propagation of the IWs, resulting in a change of their density and velocity

The effect of poly (Ethylene glycol) emulation on the degradation of pla/starch composites

10.3390/polym13071019Polymers137101

Grid dependency analysis of RTD.

<p>Grid dependency analysis of RTD.</p