Introduction: Academic faculty members need to emphasize ethical principles in order to improve higher education, with the understanding of this importance, the current research was conducted with the aim of designing the ethical model of academic faculty members in Iran's higher education. Material & Methods: This research is a type of qualitative study that uses foundational data theory. The participants, including experts and faculty members of the country's public universities, who were responsible for the promotion of academic members, were selected as key informants through a targeted sampling method of 45 people. Data were collected through semi-structured interviews. The reliability and validity of the data were obtained from the two methods of reviewing the participants and recoding by experts. Data were analyzed by open, central and selective coding. Results: The results showed that the moral model of faculty members in Iran's higher education is explained in 10 main categories and 27 subcategories. Major and core categories in the form of 6 dimensions of causal conditions including (individual factors, organizational factors), core (cultural-educational, educational ethics, research ethics, scientific-executive), background conditions (higher education policies, moral activism), intervening conditions (environmental factors), strategies (micro level-university, macro level-higher education) and consequences (individual and organizational) were elevated to a higher abstract level and finally the research paradigm model was presented. Conclusion: The regulations for the promotion of academic staff members in Iran require a detailed revision of the content with an ethical and qualitative approach in order to make the indicators of the promotion regulations efficient and effective.

Partial Discharge (PD) measurement is one of the best solutions for condition assessment of Gas Insulated Switchgears (GISs). For having Condition-based maintenance of GIS, online PD monitoring is of great importance. For this aim, Ultra High Frequency (UHF) PD sensors should be installed inside the GIS during the installation. However, in most installed GISs in industries, the internal UHF PD sensors are not installed. In this paper, a new method for online defect type recognition according to external UHF PD sensors and based on the time-frequency representation of PD signal is proposed. In this case, four artificial defect types named protrusion on the main conductor, protrusion on the enclosure, free moving metal particle, and metal particle on spacer are implanted inside the 132 kV L-Shaped structure of one phase in enclosure GIS. The signal energy at each level of the decomposed signal by Discrete Wavelet Transform (DWT) is applied for features of each defect type. The trends of signal energy variations at each frequency range of signal are applied for discriminating between each defect type. The Deep Feed Forward Network (DFFN) classifier is applied for PD pattern recognition. The results show the benefits and simplicity of the proposed method for PD signal classification, independent from the position of the PD sensor, especially in the case of online PD monitoring of GIS.

Water application as a coolant in industry and its discharge in the water ecosystem causes thermal pollution. This study aimed at investigating the water temperature pattern affected by heated wastewater discharge rate changes using the three dimensional Coupled Hydrodynamical-Ecological model for Regional and Shelf Seas (COHERENS). The model was run for two years to reach a steady state employing a Cartesian grid (40 × 120), five sigma levels from the surface to the bottom, meteorological data, main components of the tide (O1, K1, M2, S2), and information related to the heated wastewater discharge rate and temperature of water body. The modeling results showed that the wastewater discharge rate affected the temperature at the discharge site and thermal plume expansion in the different seasons. The rate of temperature variations that were created in the environment by the heated wastewater depended on the temperature difference between the environment and wastewater. The results also showed the Coriolis force had an effect on the thermal plume. Consequently, the plume and its effects on water body had been diverted to the right. The results of this modeling can be used to manage thermal pollution in the environment and improve the efficiency of the cooling system used in industry.

This manuscript presents the patterns of surface discharge currents due to pressure influence on the porcelain insulator specimen. It was subjected by the high voltages in a hermetically sealed chamber, where the pressure could be adjusted and measured simultaneously. The applied voltage and discharge current waveforms were recorded by a storage digital oscilloscope, transferred and saved to a computer. The discharge current waveforms were analyzed by using FFT, correlation coefficient and principal component analyses.The yielded discharge currents were in intermittent conditions. After the fundamental, the second highest harmonics was third. The discharge current amplitude increased significantly as the pressure reduced. The characteristics between discharge current and applied voltage magnitudes were more extremely non-linear as the pressures reduced, especially they were lower than the atmospheric pressure. The discharge breakdown voltage increased as the air pressure rose. It required a voltage magnitude threshold to be discharge.Almost harmonics had the negative correlation coefficients on the pressure, except the THD which had 0.45. The increasing THD was more dominantly caused by the increasing first harmonics which was slighter than the increasing remaining harmonics.

River flow investigation is one of the main issues in hydrology and water resources studies. Chaos analyses can be used to analyze the river flow time series as a dynamic system with highly sensitive to initial conditions. The chaos theory, which is based on non-linear dynamic systems, has resulted in a great change in understanding and expressing different phenomena. This theory deals with the study of systems that at first glance may seem irregular; but in fact they are governed by clear rules. Such systems are very sensitive to initial conditions, such that minor inputs could have significant impacts. Since investigating the presence of different characteristics at different time-scales in rivers is one of the main challenges of hydrology, the aim of this paper was to study the behavior of river flow process at different time scales. Despite chaotic studies conducted on river-flow discharges, these analysis of Dez River discharge, located in southwest of Iran, has not been implemented for different time scales. In this study, based on the flow-discharge data of Bamdezh station on Dez River, the presence of chaos in daily, monthly and seasonal scales is discussed. Dez River consists of two main branches, namely Sezar and Bakhtiari, and after exiting from the mountainous region in the north of Andimeshk and Dezful cities, enters into the Khuzestan plain. After passing the city of Dezful, and running through a 186 km meandering path (from Dezful to Band-e Ghir), it joins Shotait and Gargar Rivers in Band-e Ghir and forms Great Karun River, which flows toward city of Ahvaz. Bamdezh is the last hydrometric station on Dez River, before joining the great Karun River. Daily and monthly discharge data of Bamdezh station during 31 water-years (1981 to 2011) were used. Four non-linear dynamic fallowing methods were used: 1) phase space reconstruction, 2) correlation dimension method, 3) determination the greatest Lyapunov exponent and 4) calculation the Hurst exponent. The state (phase) space is a useful tool to study the dynamic systems. According to this concept, a dynamic system can be described by means of a state space diagram. Each dynamic system consisted of differential equations with partial derivatives. To determine these equations and their type, the embedding dimension and delay time parameters have to be determined. The delay time could be obtained from the method of assessment of correlation function (ACF) or average mutual information (AMI). In this study, the average mutual information method was used to estimate delay time. In this method, time of the occurrence of first minimum in the average mutual information function is selected as the appropriate delay time. The embedding dimension is obtained from the false nearest neighbor (FNN) method. The obtained results showed that delay time for daily, monthly and seasonal time-scales is 80 days, 2 months and 2 seasons, respectively, and optimal embedding dimension is 10, 3 and 1, respectively. The correlation dimension was calculated to determine the chaotic nature of the system. Results revealed that correlation dimension at daily and monthly scales, due to saturation of the diagram, was 3. 765 and 3. 84, respectively. Therefore, Dez River system is chaotic in these two time scales. But at the seasonal time scale, the diagram trend was ascending and as a result the river discharge is random. Another indicative criterion of the chaotic system is the greatest Lyapunov exponent. By using this exponent, the behavior could be determined in each dimension; positive Lyapunov exponent is an important indicator of a chaotic system. In this study, the greatest Lyapunov exponent was calculated on the basis of proposed Rosenstein method. By having the value of optimal embedding dimension, this exponent is calculated. In the case of no optimal embedding dimension, this value is predicted. At the daily and monthly time scales, positive greatest Lyapunov exponent (0. 0149 and 0. 0373) was obtained. Hurst exponent is based on his studies on river data obtained from different time periods. By using this exponent, the presence of non-periodic variations in river water flow could be realized. Hurst showed that if the exponent is equal to 0. 5, it indicates an independent and completely random process; if 1> H> 0. 5, it implies a continuous time series with very long memory; finally, if 0. 5 > H> 0, it indicates that the process is not continuous. Based on the obtained results at daily and monthly scales, this exponent was 0. 7556 and 0. 7773, respectively, for Dez River discharge, and both confirm that the river behavior is chaotic at these two time scales. Besides, the Hurst exponent in a random process may be obtained as positive. Therefore, this river’ s discharge can be predicted at daily and monthly scale. Moreover, at seasonal time scale, due to lack of correlation dimension, the flow behavior was shown to be random.

The purpose of the present study was to investigate the effect of generative learning teaching based to pattern cognitive Load on the memorization math of 7th grade students of in the academic year of 2021- 2022. The research method is quasi-experimental with pre-test and post-test with four groups: two control group and two experimental groups. The statistical population of the study consisted of all 7th grade male and female students of District 2 of Mashhad city that 112 person sample was selected by single stage cluster sampling method. The subjects in the experimental group involved in generative learning based to cognitive Load in 16 sessions and the control group did not receive any interventions. The research instrument consisted of a 20-questions researcher-made test. To analyze the obtained data, Multivariate analysis of covariance and SPSS version 24 software were used. The results showed that generative learning teaching based to approach cognitive Load have a positive and significant effect on 7th grade students' memorization math. Based on the findings, it can be concluded that one of the effective training on math memorization students is the use of generative learning on the based load cognitive pattern.

In the present research, the flow over asymmetric rectangular Pianokey weirs with optimum geometrical ratio is modelled using experimental and numerical modeling. Effects of the water head on discharge distribution pattern over the weir crest is also studied. Effect of the relative height (P/Wu) is investigated on the efficiency of the Pianokey weir by changing the width of the unit key and keeping constant the weir height. The results showed that the weir efficiency increases by decreasing the relative weir height. Available analytical equations in the literature have been applied to compute the discharge passing over the hydraulically optimum weir and also the discharge coefficient for a given approach water head. Differences between the experimental and computed discharge coefficient values are considerable and thus the accuracy of the available equations is not sufficient. In this study, new equations have been developed to compute the discharge coefficient and discharge portions of the inlet key crest, outlet key crest and also the side crest of the asymmetric geometrically optimum Pianokey weirs against approach flow head. The consistency of the results of the new equations with experimental results is considerably higher than the results of available analytical equations in the literature.