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To fully realize the potential of solid oxide electrolysis (SOE) systems, improvements in long-term durability and scalability are required. Investigating and comparing different degradation mechanisms under different conditions is crucial. A multi-scale cell to system level time-dependent simulation framework for SOE systems including various degradation phenomena is presented. Galvanostatic, Potentiostatic, and Potentio-Galvanostatic operation, a combination of the two previous modes, are investigated. The time and space evolution of various performance and degradation parameters are compared. Potentio-Galvanostatic operation consistently maintains stable efficiency throughout its lifetime. Near thermoneutral condition is maintained in Potentiostatic and Potentio-Galvanostatic operations, while degradation eventually leads to exothermic operation in Galvanostatic mode. Cathode overpotential is higher in Galvanostatic operation, while in Potentio-Galvanostatic operation, it drops over time as the temperature increases. After 25,000 h of operation under specified conditions, the area-specific resistance (ASR) experiences a 51% and 62% increase in Galvanostatic and Potentiostatic operations, respectively, while Potentio-Galvanostatic operation results in only a 4% increase compared to the beginning of life. Interconnect oxidation is most pronounced in Potentio-Galvanostatic mode, highlighting the need for high-quality steels and coatings in this operation strategy. Over time, in Galvanostatic operation, the current density shifts from being highest at the inlet towards the outlet.

Purpose: This research aimed to identify some of the existing financial frictions in the Iran's digital economy. In particular, based on cases taken from digital and knowledge-based companies, it empirically investigated the importance of the role of base volume in the liquidity of those companies' stocks in Tehran Stock Exchange.Method: To evaluate the empirical implications of applying the base volume in daily stock market practice, retrospectively a quantitative estimate of the base volume was implied by the economic model within the rules imposed by the market regulator via MATLAB software programming. Then, using the Generalized Method of Moments (GMM), the effects of the estimated base volume, percentage of free-floating share, securities turnover, and the ratio of transaction volume to base volume on Amihud index were econometrically studied for the selected companies during the period 2015-2020.Findings: The findings indicate that the applying base volume on the selected digital and knowledge-based companies has had a negative effect on the calculation of the final price and on the liquidity of studied knowledge-based companies. Also, the results of using the machine learning method (decision tree) showed a importance coefficient of 32.6% for the base volume on the Amihud index of the selected companies.Conclusion: Our results suggest that base volume as an idiosyncratic financial friction induced by Iranian stock market regulator has aggravated the illiquidity of studied digital and knowledge-based companies and thereby could have raised the financing costs for those companies. This would ultimately impede those companies’ growth prospect.

In this article, the effects of productivity, foreign prices and oil exports shocks on the main variables including production and consumption were investigated, in a small open economy and in a situation where the country has adopted a policy of stabilizing the exchange rate. In this analytical space, under certain conditions, a cycle between the government and the financial and real sectors is created, which leads to the repeated reduction of the government primary surplus, and thus increases the probability of the government's inability to repay previously issued bonds and decreases the value of government bonds. This process ultimately leads to government debt-overhang, banking crisis and the reduction of total production and Consumption. For this purpose, the literature of "Fiscal Theory of the Price Level" (FTPL) has been used to analyze the performance of the government, which seems to be compatible with the institutional and legal conditions of Iran. According to this theory, the government, in some situations, can become the dominant actor in determining the general price level, and monetary policies are mainly regulated in accordance with the government fiscal policies. The above-mentioned process was implemented in a simple dynamic general equilibrium model that describes the behavior of actors in the economic environment, and the results on the variables of the model were analyzed. As a result, it was observed that the introduced shocks, such as nominal or real, even without any price stickiness and in conditions where domestic goods are priced based on global values, can have detrimental real impacts on key economic variables and public welfare.

Carbon storage in plant biomass is the simplest and most economically viable way to reduce atmospheric carbon dioxide carbon dioxide concentration. The objective of this study was to estimate and model the biomass and carbon storage of the stump and root in Populus deltoides trees in afforestation, Guilan Province of Iran. For this purpose, 93 trees with 25 years old were selected from different diameter classes and after cutting and removing the sections, an excavator was used to unearth the stumps and roots of the trees from the soil. In order to estimate the biomass and carbon storage of tree stumps and roots, samples of these components were isolated and weighed, and after drying in the oven, the dry weight of the samples was measured. The carbon content of stumps and roots of the trees were calculated after burning the dried samples in an electric furnace. The results showed that the biomass of stumps and roots was 7.99 and 65.5 kg per tree, respectively, and the carbon content of stumps and roots was estimated to be 3.92 and 32.32 kg per tree, respectively. The results of allometric equations showed that the models for estimating biomass and carbon storage of stumps and roots using the tree stump diameter variable had a high coefficient of determination, but the model using the stump height had no acceptable coefficient of determination. The evaluation results of different models also showed that the power model was more accurate than other models. In general, the results showed that the carbon stored in stumps and roots was 1.568 and 12.928 tons per hectare, respectively.

Abstract The valorization of new polymer sources from underutilized plants as structuring, encapsulating, and texturizing agents for food and nutraceutical applications is gaining attention. This provides an opportunity where inexpensive plant-sourced biopolymers can play an impactful role, on both ecological and economic aspects performing equivalently effectual yet cost-effective substitutes to synthetic polymers. With this aim, we explored the use of mucilage from Althea rosea and reveal its physicochemical, in vitro antidiabetic and antihypertensive activity. Besides, structural, micrometric, crystallization, and anti-microbial properties was also seen. We determined the probable structure of the extracted mucilage by FTIR which confirmed the residues of saccharides as galactose and uronic acid with α and β configurations. It consists of 78.26% carbohydrates, 3.51% ashes, and 3.72% proteins. Here, we show that the mucilage offered protection to DNA against the oxidative damage caused by (-OH) radicals and the morphology of the mucilage particles displayed a fibrillary material settled in a net-like, tangled structure. Our results demonstrate that the reconstituted mucilage powder exhibited good water holding capacity (2.89 g water/g mucilage), solubility (27.33%), and oil holding capacity (1.79 g oil/g mucilage). Moreover, high emulsifying property (95.83%) and foaming capacity (17.04%) was noted. Our results indicate that A.rosea mucilage can potentially serve as economical and eco-friendly hydrocolloid substitute for the food and nutraceutical industry owing to its functional, hypo-lipidemic, anti-hyperglycemic, antioxidant, and anti-bacterial properties.

This paper investigates the effects of rule-based prudential policies on the banks competition in the deposit market. Using the imperfect competition structure and focusing on heterogeneous banks, we develop a partial equilibrium model, under which implications of how capital adequacy ratio regulation is implemented either discriminatory between banks (micro) or non-discriminatory and uniformly for all banks (macro) will be analyzed. Among the features that are emphasized in this analytical model is the role of self-regulation of bank capital in building confidence in the banking network in a non-linear manner. This, in a range of capital adequacy ratios, has featured the use of that prudential policy tool as a self-defeating one for the policymaker's goal in curbing the portion of high-risk projects in the targeted bank's assets portfolio. Further, a channel to explain the role of monetary policy in establishing stability or fragility of the banking network is introduced. In particular, the role of investors' degree of risk aversion in motivating banks to set their monitoring efforts has been evaluated.

In recent decades, due to the importance of future values of macroeconomic variables, a range of predicting methods and models has been studied and evaluated. The main purpose of this paper is to compare different methods of predicting Iran's economic growth using seasonal time series data during 1990-2017. To this end, economic growth is predicted using dynamic model averaging (DMA), dynamic model selection (DMS), BMA, BVAR, TVP and AR models in three prediction horizons (one, four and eight seasons). The models used in this study are categorized into three spectra, large-scale (including 112 variables in nine factor blocks), average-scale (including 10 variables) and univariate models. The results show that the predictions of DMS and DMA are more efficient than other traditional prediction.

The aim of this paper is to investigate the responses of stock, gold and foreign exchange markets in Iran, with an emphasis on the spillover volatility effects. For this purpose, the rate of return of variables is calculated by using the daily data of Tehran Stock Exchange price index, exchange rate and gold price during the period of 25 March 2009 to 18 July 2018. The estimated model investigates volatility spillovers in the markets using the VAR-BEKK-GARCH approach. The impulse-response functions are estimated by including the possibility of the asymmetry of the coefficients of the cross terms of the errors in MGARCH-type equations. The results show two-way volatility spillover between foreign exchange and stock markets, one-way volatility spillover from the foreign exchange to gold markets and one-way volatility spillover from the gold to stock markets. Moreover, the findings obtained from the impulse-response functions confirm the spread of uncertainty among the financial markets in Iran.

This study aims to introduce the microstructure approach to the exchange rate as the 4th generation of exchange rate models and to apply it in a simulation model to study the effects of transparency of macroeconomic data on exchange rate fluctuations. The microstructure approach to the exchange rate is developed to include decentralized and multi-layer structure of currency markets along with information complexities in this market and the role of trading mechanisms in exchange rate determination. After introducing this approach, we have developed our theoretical model to use it for simulation. In this simulation, we have studied the effects of transparency of macro data release on exchange rate fluctuation. To achieve this goal, we have used two variables of “delay in macro data release” and “error in macro data release”. Our simulation results show that an increase in macro data release delay leads to higher volatility of The exchange rate. This is because of increasing uncertainty for economic agents. In addition, an increase in macro data release delay leads to a farther delay in responsiveness of the exchange rate to movements in its macro fundamental variables. Although we have found a non-linear relationship between the “error in macro data release” variable and exchange rate volatility, the magnitude of this effect is less than the effect of the “delay in macro data release” variable on exchange rate volatility. Based on our results, we recommend that to have lower exchange rate volatility, authorities should increase the transparency of macroeconomic data releases and especially they should lower the delay in macro data releases.

The results of many studies show that rigid regulations on product and labor markets are considered as a key factor in weakening the employment conditions and have led to high unemployment rates. Given the complicated regulations in the countries of the Middle East and North Africa (MENA), studying the great dynamics of deregulation can give useful guidelines for lawmakers and policy makers. The aim of this paper is to study the effect of deregulations of commodity and labor markets on the growth and the unemployment rate in 20 MENA countries using GMM method and Panel VAR approach during the period 2005 – 2017. The results of this study show that deregulation in product and labor markets in the short run will reduce economic growth, increase unemployment and lead to recession. But in the long run, it will increase economic growth and reduce unemployment. The labor market reforms, as opposed to product market reforms, do not lead to major dynamics in economic growth. For policy-making in MENA countries, deregulation in the product market has priority over the labor market, since it has a stronger impact on the wavelength and durability of the effects.

Banks as financial intermediaries play an important role in facilitating the economic cycle. The implications of the bank’s investment in the housing sector in Iran's economy, which is prone to Dutch disease, is a concern of the present study and we have designed a Keynesian dynamic stochastic general equilibrium model for it. The results of the model, which confirm the Dutch disease during a positive oil shock, suggest that banks' investment in the housing sector when production in the economy is growing and the amount of concessional facilities has increased, is a well-accepted and profitable. The positive shock of labor productivity in the manufacturing sector and the shock of monetary policy will put the economy in a position where production in the economy will increase and banks' investment in the housing sector will be profitable. But in a space where production is declining and the size of the granting of bank facilities is decreased, as the economy faces a positive shock to labor productivity in the housing sector or a positive shock to oil revenues, the freezing of banks' assets in the housing sector has not been favorable and, furthermore, putting them at risk by reducing profits and falling capital in banks.

The aim of this study is to estimate the amount of underground economy as well as to determine the effect of tax policy on it in Iran. For this purpose, a Dynamic Stochastic General Equilibrium (DSGE) model is developed incorporating the underground economy. Quarterly data for 1360-1393 in Iran are used for estimation. The results show that on the average 23 percent of household consumption during the examined period is from underground goods, and about 17 percent of these goods are imported into the country through underground import or smuggling. Real average amount of smuggling and underground production in Iran during the considered period is estimated as 29023 and 141702.5 billion Rials, respectively. In addition, the results show that the average share of underground employment in total employment over the period is about 18 percent. The average tax evasion of consumption tax, import tax and wage tax is estimated about 17.8 percent of average government tax revenue during this period. Comparing the effects of four different tax shocks on underground economy also shows that the profit tax shock has the largest effect on underground economy, and after that is import tax shock. The effects of tax shocks show that the severity and duration of the impact of tax shocks on underground production is more than that of the formal economy.

Two-dimensional computational fluid dynamics (CFD) is applied to better understand the effects of wing cross-sectional morphology on flow field and force production. This study investigates the influence of wing cross-section on insect scale flapping flight performance, for the first time, using a morphologically representative model of a bee (Bombus pensylvanicus) wing. The bee wing cross-section was determined using a micro-computed tomography scanner. The results of the bee wing are compared with flat and elliptical cross-sections, representative of those used in modern literature, to determine the impact of profile variation on aerodynamic performance. The flow field surrounding each cross-section and the resulting forces are resolved using CFD for a flight speed range of 1 to 5 m/s. A significant variation in vortex formation is found when comparing the ellipse and flat plate with the true bee wing. During the upstroke, the bee and approximate wing cross-sections have a much shorter wake structure than the flat plate or ellipse. During the downstroke, the flat plate and elliptical cross-sections generate a single leading edge vortex, while the approximate and bee wings generate numerous, smaller structures that are shed throughout the stroke. Comparing the instantaneous aerodynamic forces on the wing, the ellipse and flat plate sections deviate progressively with velocity from the true bee wing. Based on the present findings, a simplified cross-section of an insect wing can misrepresent the flow field and force production. We present the first aerodynamic study using a true insect wing cross-section and show that the wing corrugation increases the leading edge vortex formation frequency for a given set of kinematics.

Scombrid fish lunate caudal fins are characterized by a wide range of sweep angles. Scombrid that have small sweep-angle caudal fins move at higher swimming speeds, suggesting that smaller angles produce more thrust. Furthermore, scombrids occasionally use high angles of attack (AoA) suggesting this also has some thrust benefit. This work examined the hypothesis that a smaller sweep angle and higher AoA improved thrust in swimmers by experimentally analyzing a robophysical model. The robophysical model was tested in a water tunnel at speeds between 0.35 and 0.7 body lengths per second. Three swept caudal fins were analyzed at three different AoA, three different freestream velocities, and four different Strouhal numbers, for a total of 108 cases. Results demonstrated that the fin with the largest sweep angle of 50° resulted in lower thrust production than the 40° and 30° fins, especially at higher Strouhal numbers. Larger AoA up to 25° increased thrust production at the higher Strouhal numbers, but at lower Strouhal numbers, produced less thrust. Differences in thrust production due to fin sweep angle and AoA were attributed to the variation in spanwise flow and leading edge vortex dynamics.

The main objective of this study is to evaluate the impact of oil revenue, productivity and money growth rate shocks on macroeconomic variables, in the context of a DSGE model with the consideration of features such as big size of government activities in the economy, inefficiency of government investment, the need to invest in development of infrastructures, and existence of “National Development Fund” (NDF) to support private sector investment. The research findings based on RBC model, show that oil revenue shock has increased the consumption, government spending (both current and capital expenditures) and has decreased inflation in short-run; although because the oil shock is transferred to demand side, this situation leads to increase of inflation in medium-term. Our results show that when the oil revenue increases, the resources of NDF and consequently the share of credit granted to private sector will be raised and this can promote private sector production. In addition, because of the structure of Iranian economy, the increase in oil revenue has little effect on growth and development of production in non-oil producing sectors. Furthermore, the research findings show that when the inefficiency of public investments decreases, the investment of oil revenues has more positive effects on private sector production as a crowding-in effect phenomenon. Likewise, each of productivity and monetary shocks in the model has the same results as the theoretical expectations.

Empirical evidence about recent financial crisis revealed the prominent role of financial sector in transmission of different shocks to the real sector of economy. Due to the importance of banking sector behavior during business cycles and for the purpose of explaining the credit channel of monetary transmission mechanism in the economic literature, analyzing the role of banking sector during business cycles in Iran can help us to better understand how the shocks can have impacts on the economy. In this paper, we evaluated macroeconomic fluctuations and monetary transmission channels in Iranian economy using a standard New Keynesian dynamic stochastic general equilibrium model that includes banking sector. The results of the study show that inclusion of banking sector in a DSGE model can improve evaluation of macroeconomic fluctuations. Also, the results of simulation show that variables related to banking sector have pro-cyclical movements in Iranian economy and these results provided enough room to explain the role of banks as financial accelerator and monetary transmission channels in Iranian economy.

The main objective of this study was to evaluate the effects of oil revenue, productivity and money growth rate shocks in macro-economic variables, in the context of a DSGE model with features such as the needs of infrastructure development and the existence of public investment inefficiencies and its comparison with Permanent Income Hypothesis (PIH model). The results show that oil revenue shock has increased consumption, government current and capital spending and has reduced inflation in the short run, although has increased in the medium term due to the demand side push. The results revealed that the National Development Fund and consequently the Fund's concessional facilities to the private sector has been raised. In addition, because of the structure of the economy that was largely unproductive and the government activity in the economy would lead to crowding out effect, the oil revenue growth has little effect on the growth of non-oil producing sector. More over, each of the productivity and monetary shocks in the model has resulted the same theoretical expectations. Results also show that the implementation of fiscal policy based on PIH Scenario has better effects on macroeconomic variables in comparison with the business as usual scenario.

In this article, we examine Samuelson's hypothesis on maturity effect in gold coin futures contracts traded in Iran Mercantile Exchange (IME). According to this hypothesis, the volatility of futures prices increases as future contracts approaches expiration date. The results show that the maturity effect is so weak in future contracts under investigation. This effect is acceptable in 5 out of 29 contracts. These contracts have been traded from 25 November 2008 to 21 September 2012. There are two different hypotheses on maturity effect in future contracts; the state variable hypothesis and negative covariance hypothesis. The state variable hypothesis states that the variability of futures prices is systematically higher in those periods when relatively large amounts of supply and demand uncertainty are resolved, i.e., during periods in which the resolution of uncertainty is high. According to negative covariance hypothesis, maturity effect is more likely to hold in markets that exhibit negative covariance between changes in spot prices and changes in net carry costs. Using panel data and Ordinary Least Square (OLS) techniques, we conclude that no hypothesis is held for IME gold coin futures contracts.

In this paper by using a dynamic stochastic general equilibrium model we study how macroeconomic variables are affected by different shocks using fiscal reaction functions for Iran’s economy. For this purpose we compare the results of a real business cycles model in a baseline scenario, in which the government does not follow any specific reaction to the shocks and alternatives in which the government reacts counter and pro cyclically to the shocks. Results of the simulations indicate that when the government follows backward looking fiscal rules the deviation of the variables from steady state increases. In other words, in a real business cycle model for the Iranian economy, we show that the consequence of the government’s intervention in the economy is economic instability in Iran.

Tracing the impact of exchange rate movements on prices is one the most important issues in monetary policy making. In this paper by applying a SVAR model to a quarterly data set spanning from 1990q1 to 2013q4, we assess the effect of exchange rate variations on domestic prices in Iran. In addition to exchange rate growth and output gap, the growth of liquidity, consumer, producer, and import prices are also included in the model. Our findings suggest that: i) There is an asymmetry in exchange rate pass-through in Iran. ii) Although small appreciations have no effect on prices, depreciations, especially large ones, are significantly effective. iii) The effect of exchange rate on consumer price growth, lasts for relatively longer periods of time.

The present article discusses the impacts of selecting between different common auctions in electricity markets (system marginal price auction and pay as bid auction) on production efficiency, total efficiency and average expected price in an asymmetric information situation, where each player’s information about the marginal cost of the competitor is incomplete. A simple model is designed to conduct the comparative study of alternative auction mechanisms. The model is based on two profit maximizing players, with full information about their own marginal cost and incomplete information about their competitor. Assumptions which have been used to construct the model are based on Iran’s electricity market structure. The outcome indicates that although players bid functions in alternative auction mechanism differ from each other, the production efficiency, total efficiency and the average expected price are equivalent.

Using a New Keynesian dynamic stochastic general equilibrium of Iran with price rigidity and imperfect markets, this paper shows how different stochastic shocks affect main macroeconomic variables in presence of variety of reaction functions. In this way, we compare the response of those variables to the shocks in baseline scenario (which the government does not perform any reaction) with an alternative; when government reacts counter-cyclically through back ward looking fiscal rules. Our findings was in favor of active counter-cyclical fiscal policy, by showing that the deviations from target values decrease when government reacts actively.

This paper examines factors influencing the choice of exchange rate regime in oil producing countries. Prevailing theories in selecting exchange rate regime include optimum currency area, political economy theory, and currency crisis. In this survey the matter has been studied regarding political economy theory. The variables used in the economic and political structure of the considered countries indicate that from 1974 to 2011 as many as 31 countries by using Panel Logit model have been studied. The result suggests the influence of political structure, oil rent, government ideology and economic capacity on specifying the exchange rate regime. Thus, the more democratic political structure, as well as the more leftist government ideology and also the wider economic capacity increase, the likelihood of choosing a flexible regime , If oil rent and dependence on oil revenue increase there will be a higher probability of implementing a fixed regime.

Owing to importance of monetary and financial aspects of macroeconomic fluctuations, and the role of financial intermediaries, in this paper, we design a new Keynesian Dynamic Stochastic General Equilibrium (DSGE) model with regard to banking, to analyze the effect of oil, productivity and monetary shocks on Iran's economy. The effects of those shocks on different variables of the model appear to be consistent with our theoretical expectations and Iran's economy. In fact, inclusion of the banking sector in the model contributes positively to better explanation of Iran's business cycle features. By applying the model, we find that outstanding claims of banking sector reduce the impact of monetary shocks. Therefore, outstanding claims of banking sector is likely to weaken the efficiency of discretionary monetary policy against macroeconomic fluctuations.

countries. It seems that these effects have modified during the last four decades. In other words, the effects of the oil shocks of 1970s on the industrialized economies of the oil importing countries have been mostly followed by an overwhelming stagflation, although such severe effects have not appeared after the oil shocks of 1990s. In this paper, with the use of Autoregressive (VAR) model, the attempt is to investigate the critical effects of oil shocks on some oil exporting countries like Iran, Venezuela, Nigeria, Norway and Canada. Based on impulse response functions in these countries, we will arrive at the conclusion that just in Norway and Canada, the effects of oil shocks on growth rate, inflation and real exchange rate have been decreased. In this case, the paper will argue that the role of exchange rate systems, monetary policies and different macroeconomic structure of these countries have caused milder effects of oil shocks in 1990s.

We study the volatility of business cycle of Iranian economy base on the wavelet approach. we found some synchronic business cycles with different power and frequencies (two to four years cycles, and trend that indicates the low frequency) which is contradictory to the traditional approach that highlights classic definition of cycle (with three to eight years cycles).On the other hand, exception to 1971-1981, oil and non-oil cycles are approximately the same which means that the non-oil sector has been affected by the oil sector volatilities and neutralization of this affection by economic policies has been failed. The other point is that oil cycle has completely different asymmetry than the non-oil cycle. We also found that the energy of trend is sharply more than other elements of wavelet which indicates that the concealed long run volatilities is major part of the energy of economic time series. This finding is compatible with other related studies.

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.

Applying the SVAR method of 'Kilian' to the monthly data over the period of 1973-2007, in this paper, we decompose oil price shocks into five structural shocks, namely, Iran political supply shocks, OPEC political supply shocks, non- OPEC supply shocks, world demand shocks, and oil specific demand shocks. Then, estimating separate OLS regressions, based on annual data of Iranian Economy, the impact of these structural shocks on main macroeconomic variables, and outbreak of Dutch disease is studied. This paper finds that the symptoms of Dutch disease have not been observed, following different structural shocks, except for Iran political supply shocks. Owing to dominant role of government in production, and export of oil in Iran, it is evident that the effect of oil price shocks, to a large extent depends on the government conduct, and the Dutch disease is not an inevitable reality for the Iranian economy.

This paper examines the incidence of Dutch Disease symptoms in the agriculture sector of Iran, by applying SVAR modeling to quarterly data of twenty years span, from1367-1386 our findings do not reveal any significant relation between oil prices, and value added of agriculture sector, but indicate a significant negative effect of oil price on the relative price of agricultural products. Therefore, the incidence of Dutch Disease cannot be rejected. Although it seems that protective measures, in some extent, have been succeeded in insulating the production from harmful effects of decrease in the relative prices, but these measures, in no way will ensure the future development of the agriculture sector.

This paper presents a test of the P* model using Iran quarterly data over the period 1988-2005. The basic formulation of the P* model, which is derived from the quantity theory of money, is manipulated to obtain an equation for the price gap and level of output and velocity gaps. So the P-Star model implies that inflation is determined by the level of output gap and velocity gap. On the other hand real money gap can either be used instead of price gap, as the other approach. Estimation of the dynamic relation between the inflation rate and price gap are significant and price gap’s share is about 50 percent in inflation process.

The main concern in all economic activities is to obtain maximum output using minimum resources. That is the reason why the wages should be set with respect to productivity. To what extent the wages in practice are set in accordance with productivity is the main subject of our study. We use the survey of large manufacturing establishment’s data set for twenty two industries during 1373-1384 (1996-2005) to estimate the wage equation. Our findings indicate that there is some significant relation between wage, productivity, skills and education. However, labor productivity has trivial role in wage determination in comparison to other explanatory variables

ABSTRACT: After quite a while, hyperthermia (HT) will encounter a fresh resurgence as observed by the incredible after effects of a few randomized preliminaries all around the globe. Tumour resistance, in the same way, is proposed in light of the fact that the 4th methodology of treatment for metastatic tumours from the renal carcinoma and melanoma. An infinite quantity of information from animal and human beings individuals specify in away body and locoregional hyperthermia applies various organic furthermore restorative consequences on the immune system competent cells and also the cytokines. Among these results, hyperthermia proved to improve antigenic introduction in addition to this manner the experience of the dendritic cells. This development will be acquired through many{systems: a) raised lymphocyte enlistment and dealing keen on the tumour area (b) upgraded immune power of high temperature functioned tumour cells (c) raised generation from warmth stun protein and co-stimulatory substances. The results and frameworks of heat treatment on invulnerability, lymphocytic enlistment and also dendritic cell incitement through warmth stun protein part will be looked into here. Cytokines are usually intracellular peptides that function as immune system mediators. The degrees of both pro-and anti-inflammatory cytokines have already been demonstrated to increase in case of heatstroke both in} human and animal models. Various hyperthermic states, consisting of both regular exercise induced hyperthermia and traditional and exertional high temperature, bring about unique characteristic information of plasma cytokines. Moreover the utilization of HT being an intrinsic resistance sponsor in a joint effort with organic response modifiers is recommended. [ABSTRACT FROM AUTHOR]

In this research, we test for the factors that determine private saving in the Iranian economy during 1968-2001 using auto regressive distributed lag model (ARDL). In this model, we examine the effects of factors such as disposable income, social security costs, unemployment rate, long term interest rate, inflation, Gini coefficient, ratio of the value of stocks exchanges to the terms of trade GDP, and a dummy variable for the post-war years. The results show positive effects of income, improvement of income distribution, and more developed financial markets, and negative effect of social security costs on the saving of private sector. Our results also indicate that the best and the most secured way to increase private saving is to improve financial markets performance that leads to a better absurbtion of saving and to an increases in investment possibility.

Antibiotic tolerance in Mycobacterium tuberculosis reduces bacterial killing, worsens treatment outcomes, and contributes to resistance. We studied rifampicin tolerance in isolates with or without isoniazid resistance (IR). Using a minimum duration of killing assay, we measured rifampicin survival in isoniazid-susceptible (IS, n=119) and resistant (IR, n=84) isolates, correlating tolerance with bacterial growth, rifampicin minimum inhibitory concentrations (MICs), and isoniazid-resistant mutations. Longitudinal IR isolates were analyzed for changes in rifampicin tolerance and genetic variant emergence. The median time for rifampicin to reduce the bacterial population by 90% (MDK90) increased from 1.23 days (IS) and 1.31 days (IR) to 2.55 days (IS) and 1.98 days (IR) over 15-60 days of incubation, indicating fast and slow-growing tolerant sub-populations. A 6 log10-fold survival fraction classified tolerance as low, medium, or high, showing that IR is linked to increased tolerance and faster growth (OR = 2.68 for low vs. medium, OR = 4.42 for low vs. high, p-trend = 0.0003). High tolerance in IR isolates was associated with rifampicin treatment in patients and genetic microvariants. These findings suggest that IR tuberculosis should be assessed for high rifampicin tolerance to optimize treatment and prevent the development of multi-drug-resistant tuberculosis., Competing Interests: SV, NB, DV, LN, DT, NQ, LT, HN, VH, PT, DH, NL, MC, GT, BJ, NT No competing interests declared, (© 2024, Vijay, Bao et al.)