Synergogy is an educational model derived from the constructivist approach, whose main foundation is based on group and collaborative planning. Synergogy is the most used model in teaching place-based courses because of its spatial data structure. The foundation of such courses is based on geographic content. This research, with an interpretative method based on gathering information from library-documentary sources, has investigated the synergistic method of teaching place-based courses in social science education at Farhangian University. The findings show that the synergistic model with the collaborative lever of the leader as well as the emphasis on the student's working group and the teacher's facilitation, can work effectively in memorizing and mentally visualizing spatial data. The synergy model recommends a step-by-step fashion through which the teacher acts as a facilitator with guiding, participation-oriented, knowledge-oriented, trust-building, cohesive and synergistic ability. Through the stages of grouping, definition, facilitation, synergization, validation, classification, rotation of concepts, sharing and evaluation, the student in a self-directed way, would learn the place-oriented course materials and by mental imagery, he could memorize them permanently. Synergogy model is the most effective educational model for sustainable learning of subjects on a general scale for all courses and on a special scale for spatial courses.

This study identifies and estimates the effective factors on housing prices over the years 1996 to 2017 in terms of model uncertainty and with BACE approach. The statistical data of 18 variables including 15 external variables (socioeconomic variables) and 3 internal variables (housing sector variables) affecting housing price according to the theoretical foundations and experimental studies have been used for this research. The results suggest that the growth of urban population, household income, the unemployment rate, the average cost of 1-square-meter building, expected inflation, income inequality, oil revenues growth, liquidity, and exchange rate are the most effective variables in housing price pattern in Iran. There is no strong evidence of effectiveness of other variables on housing price over the period of this research. The results can be used for creating appropriate patterns for explaining the issues related to housing price and better management of housing sector policies.

This paper examines the robust determinants of public sector size (government) in IRAN in the years 1979-2012 and the uncertainty condition of the model. For this purpose is used the Bayesian Averaging of Classical Estimates (BACE) approach due to favorable characteristics for the assumption of model uncertainty. With estimate 16,000 regression and Bayesian averaging from the coefficients, effective variables were identified. The results show that robust determinants of the public sector size were as follows: lag the government size, population, growth rate of oil revenues, the ratio of population less than 15 and over 65 years to total population, bureaucracy and economic globalization.

One of the most important targets in Alzheimer disease is Beta site amyloid precursor protein cleaving enzyme-1 (BACE-1). It is a membrane associated protein and is one of the main enzymes responsible for amyloid b (A b) production. Up to now, a considerable number of peptidic and non-peptidic inhibitors of BACE-1 have been developed. Recently, small molecule BACE-1 inhibitors have attracted the attention of scientists, because peptidic inhibitors have many pharmacokinetic problems. In the present study, several small molecule BACE-1 inhibitors were extracted from Brookhaven Protein Databank (PDB) and subjected to dissection analysis to achieve constructing fragments. Atom type, hybridization, and bond order were considered for generated constitutional fragments (simplified structures). AutoDock version 4.2 was applied to dock various chemical fragments into BACE-1 active site. The benefits of such studies have been well revealed in previous reports. On the basis of obtained binding affinities, fragment-based ligand efficiency (LE) indices were estimated. These theoretical binding efficiencies were applied to further elucidate the key structural features of BACE-1 inhibitors. Typical results of the study were elucidated and we suggested the ways these findings might be beneficial to guide rational bioactive molecular developments. Our study confirmed that the evaluation of ligand-receptor interactions in terms of ligand efficiency indices (binding energy per atom and pKi per MW) could be a helpful strategy in structure based drug discovery (SBDD) strategies.

The financial development of companies is a factor in attracting capital and a way for regional economic prosperity. Many indicators can be used to check the financial performance of companies. One of these indicators is the asset turnover index, which emphasizes both sales and company assets. This article aims to examine the financial development of important companies in creating the largest share of the added value of the province in terms of the growth of the industry's output. BACE and bootstrap quantile approach have been used to investigate the importance of the financial development of these companies on the output growth of the province's industry. In fact, modelling means choosing the model and variables which are uncertain. Therefore, the Bayesian averaging approach was initially used to reduce the concept of variable selection uncertainty to an acceptable level. After identifying the top 5 models and the most important effective variables, the quantile method was used to examine the effects of selected variables in high, medium and low growth on the model and their importance coefficients. To make estimates, the data of the desired industries were collected from 1389 to 1398 on a semi-annual basis. Based on the presented results, financial development with the help of improving asset turnover of Isfahan Pegah, Isfahan Zob Ahan, and Isfahan Polyacrylic companies affects the growth of Isfahan industry output. The financial development of Pegah Isfahan Company has had a negative relationship with the growth of the industrial output of Isfahan province. However, the financial development of iron smelting and polyacrylic companies have a positive relationship with the growth of the Isfahan province industry.

Due to uncertainty in economic growth theories, existence of various proxies for effective factors on economic growth, and lack of indication of the most appropriate econometric model for investigating effective variables on economic growth, the empirical growth regressions have always faced uncertainty. To investigate this phenomenon, we should move from the classical econometrics towards the approaches which can appropriately deal with uncertainty. One of these approaches is the ‘Bayesian Averaging of Classical Estimates Approach’ which has been used in this article to evaluate the uncertainty of the effects of trade openness on economic growth in developing countries (52 countries) during 1970 and 2006. The research findings indicate that the ‘Composite Trade Intensity’ which is considered as a suitable alternative for trade openness, has a positive and definite effect on economic growth of these countries in the long run. Furthermore, it is revealed that other criteria such as ‘Unweighted Averages of Tariff Rates’, ‘Terms of Trade Growth’ and ‘Sachs & Warner openness indicator’ (1995)-as proxies for trade openness-do not have definite and determining effects on economic growth of these countries in the long run.