Purpose: The purpose of this applied research is to study the effectiveness of gamification on corporate training.  Methodology: A gamified course was designed AND implemented to train the location of Fire Hosing Cabinet for 24 employees of a firefighting maintenance company in Iran Mall shopping Center in Tehran. Using a quantitative quasi-experimental research plan (post-test only control group design) the participants of the study were rANDomly assigned to treatment (12) AND control (12) groups AND trained for a week.  Conclusion: The descriptive AND interpretive result of the posttest analyses indicated the effectiveness of gamification of the training performed for the employees of the firefighting maintenance company in Iran Mall shopping Center in Tehran. Moreover, the descriptive result of Gamification Acceptance Questionnaire answered by the members of the experimental group after gamified training indicated that all the participants in the experimental group were satisfied with the gamified training course.

Automatic topic detection seems unavoidable in social media analysis due to big text data which their users generate. Clustering-based methods are one of the most important AND up-to-date categories in topic detection. The goal of this research is to have a wide study on this category. Therefore, this paper aims to study the main components of clustering-based-topic-detection, which are embedding methods, distance metrics, AND clustering algorithms. Transfer learning AND consequently pretrained language MODELS AND word embeddings have been considered in recent years. Regarding the importance of embedding methods, the efficiency of five new embedding methods, from earlier to recent ones, are compared in this paper. To conduct our study, two commonly used distance metrics, in addition to five important clustering algorithms in the field of topic detection, are implemented by the authors. As COVID-19 has turned into a hot trending topic on social networks in recent years, a dataset including one-month tweets collected with COVID-19-related hashtags is used for this study. More than 7500 experiments are performed to determine tunable parameters. Then all combinations of embedding methods, distance metrics AND clustering algorithms (50 combinations) are evaluated using Silhouette metric. Results show that T5 strongly outperforms other embedding methods, cosine distance is weakly better than other distance metrics, AND DBSCAN is superior to other clustering algorithms.

With regard to the crisis of WATER RESOURCES in the country, overdraft of groundWATER RESOURCES has caused undesirable situation for most of the plains. On the one hAND it is necessary for the stability of the RESOURCES are constantly using these RESOURCES, future generations need to be considered. In this regard, in this study make a cropping pattern with aims to develop a sustainable supply of groundWATER RESOURCES in the Baghmalek plain has been considered. In this study, time series variables technique are used for predicting future values of variables. Also, the dynamic programming model, is used to determine the cultural pattern. Information needed for this research in two ways questionnaire AND the use of statistics resource of agri-jahad AND Khuzestan province`s WATER AND power organization in 2013, has been collected. The results show that WATER input is considering as a limited production factor in the agricultural sector of the region. In addition, using of above pattern, will make fundamental changes in the region`s cropping pattern. The use of modern irrigation methods can increase the agricultural production capacity to double size. The main proposed of study is choosing the patterns that consider intergenerational sustainability about scares inputs such as WATER.

The present empirical research aimed to investigate role model effects on entrepreneurial passion. Research method was non-experimental descriptive-correlation method. The statistical population comprised of senior AND junior undergraduate students as well as graduate students of the University College of AGRICULTURE AND Natural RESOURCES, Tehran University. 205 students were selected using the Daniel formula through quota sampling method. Research instrument was a questionnaire whose validity AND reliability were reviewed AND approved. A dominant statistical method was Principle Component Analysis (PCA). The empirical results showed that there is a role model difference in the level of entrepreneurial passion. The research makes an important contribution to the field of entrepreneurial education by concluding that entrepreneurial passion in higher educational context is not a simple matter, but a rather complicated process that is depend on external variables such role model. End of research some implications are provided for agricultural entrepreneurship education.

Human-WATER RESOURCES interface is a fundamental core to form the socio-economic structures AND conceptual understANDing of its evolution is important to investigate the causes of current challenges of WATER RESOURCES. Therefore, identifying AND analyzing the human-WATER RESOURCES interface in AGRICULTURE sector of Iran by using a theoretical-historical approach was the purpose of this research. Also a descriptive-analytical method was employed to perform AND write this paper. This study attempted to combine different theories such as “ Asiatic Mode of Production (AMP)” , “ social institutions” , “ social changes (Ibn Khaldun theory AND Marx theory)” in order to represent the formulation AND evolution of human-WATER RESOURCES interface. In addition, the secondary data AND literature were applied to describe the WATER RESOURCES change over time. Due to limitation of WATER RESOURCES, the Asiatic Mode of Production (autocratic central government AND group work organization) was formulated AND its major institutional features (despotism, ethnicity, AND patriarchy) were reproduced in a repeatable cycle during the history. Human-WATER RESOURCES interface has been changed by two mutation steps (i. e. the constitutional movement AND the lAND reform), AND it was trying to transition from the traditional institutions (despotism, ethnicity, AND patriarchy) to modern institutions (rights-based legislation AND law-based administration). But it is seen that coexistence (sometimes peaceful coexistence AND sometimes violent coexistence) was found between the traditional AND modern institutions. Also, due to attempts to institutionalize AND rearrange of human-WATER RESOURCES interface mechanisms an organized chaos has established that it has been considered as the major reason of WATER crisis in Iran.

The agricultural sector is the largest consumer of WATER RESOURCES. Therefore, Sustainable WATER allocation to this sector is more essential. Surface AND groundWATER are both important sources for AGRICULTURE WATER supply. Previous studies have emphasized that the conjunctive WATER use of surface AND groundWATER can reduce the risks associated with uncertain surface WATER supplies AND their fluctuations. The cyclic AND noncyclic(traditional) storage systems are two main kinds of conjunctive WATER use systems. The main difference between these storage systems is their method of artificial recharge which in the noncyclic storage system, the artificial recharge only occurs during the spill, but in the cyclic storage system, the artificial recharge can occur any time. In other words, the regulated WATER is not allocated to artificial recharge area in noncyclic method. In the current study it was tried to quantize AND compare Sustainability of WATER allocation in the AGRICULTURE sector with cyclic AND noncyclic approaches. The results indicated that in the noncyclic operation of the system, the aquifer is recharged in wet season AND its storage used in dry season. Therefore, by management AND regulation of surface WATER in cyclic operation compared with noncyclic operation, the sustainability index increases from 0. 69 to 0. 86, respectively.

To investigate the effects of WATER deficit stress AND bio AND non-bio fertilizers on Thymus Vulgaris, a split plot experiment was conducted based on rANDomized complete block design with three replications in 2017 in Asgarya agricultural field in Yazd. The treatments included WATER tension: W1=7 (Control), W2=12 AND W3=17 days irrigation intervals as the main factor AND bio AND non - bio fertilizers at five levels including B1= control (without fertilizer), B2= endo mycorrhiza (Glomus), B3= Azospirillum bacteria, B4= Pseudomonas bacteria AND B5= chemical fertilizer (NPK) a sub – factors. Results showed that the highest flowering branches yield, a, b, AND total chlorophylls AND nitrogen AND phosphorus elements were observed in 17 days of irrigation (W3). 12 days of irrigation treatment (W2) showed the highest potassium element rate. The highest a, b AND chlorophylls AND nitrogen were observed in Azospirillum treatment (B3). The highest total chlorophyll, phosphorus element, carotenoids AND flavonoids were observed in Pseudomonas treatment (B4); the highest potassium element rate were obtained in mycorrhiza treatment (B2); the highest flowering branches yield were observed in NPK treatment (B5) AND control (B1) treatment resulted in the highest anthocyanin

WATER problems AND issues due to droughts AND over-exploitation brought up the importance of developing Research AND Executive Fields on WATER RESOURCES protection AND farmers’ WATER protective behaviors. Present study aimed to analyze farmers’ WATER protective behaviors in Khorram-Abad County using survey technique AND questionnaire for gathering data form 310 samples. These samples were collected from the statistical population of the active farmers in Khorram-Abad County during 2016-2017 i. e. 22812 persons. The questionnaire validity has confirmed by 4 members of the Agricultural Extension AND Education faculty at Shiraz University. The reliability of the questionnaire has assessed by a pilot study with 30 samples outside the statistical population. Results showed that the mean of protective behavior variable is 1. 02 (in range 0-4) which implied low WATER protective behavior among farmers. Also, the results based on path analysis showed that variables such as behavioral tendency, awareness of protective behaviors’ desirable effects, following rural MODELS AND leaders, access to WATER information RESOURCES, AND technical knowledge of WATER protection have direct effect on WATER protective behavior while variables such as moral values, moral reasoning, awareness of WATER laws AND agricultural income have indirect effect on such behaviors. Totally, these variables could predict 57 percent of the changes in farmers' WATER protective behaviors. Therefore, solutions such as increasing farmers’ awareness to protective behaviors’ desirable effects, technical knowledge of WATER protection, activating the potential of rural MODELS AND leaders for extension of WATER protective behaviors, improving moral judgment AND diffusion of moral values related to WATER consumption can lead to extend protective behavior among farmers.