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Showing 8 results for Targeting


Volume 12, Issue 2 (6-2009)
Abstract

Objective: The greatest challenge in cancer gene therapy is to achieve the high specificity and efficiency in targeting of cancer cells. Because the goal of cancer gene therapy is to eradicate cancer cells, many therapeutic genes could be detrimental if unintentionally expressed in normal cells. Using promoter of the genes which are expressed specifically in cancer cells or have much more expression in cancer cells than normal cells, is very noticeable tool in cancer gene therapy (CGT). In this study we were searching for cancer specific promoter which could highly express therapeutic gene. Materials and methods: In order to apply a cancer specific promoter for creating a CGT construct, a promoter which have 34% similarity to Survivin core promoter was amplified from human genome by using Nested-PCR. Survivin is a member of anti-apoptotic gene and its over-expression was observed in up to 70% of breast cancers. This gene fragment contains two transcriptional binding sites which were similar to Survivin promoter according to the evaluation of Promoter Scan, EPD, Transfac, Compel and TRRD program. These binding sites were recognized by STAT1 and E2F transcription factors. This promoter was cloned into pCDNA3.1/Hygro+ plasmid in along with hypoxia and estrogen modules and pro-apoptotic gene tBid. Results: Semi-quantitative RT-PCR results of transfected cancer cells showed that this gene fragment (Survivin like promoter) have relatively same potential as CMV promoter to direct tBid gene expression. Conclusion: Utilization of chimeric promoter containing Survivin like promoter could be a promising tool in killing cancer cells naturally by inducing apoptosis. This construct is highly effective in transcriptional targeting of tBid in comparison to control construct.
Vahideh Ansari, Habibollah Salami,
Volume 14, Issue 2 (5-2014)
Abstract

This study investigates alternative options for allocating incomes from targeting subsidy program to different production sectors and its consequences on income distribution among Iranian households. This research is performed by computing income multipliers derived from social accounting matrix for three income groups in urban as well as rural households and allocating income to different production sectors accordingly. Results indicate that allocating income based on income multiplier of the rural high income households leads to a reduction in income inequality between rural and urban households and generates the highest absolute income for all income groups. The only drawback of this option is that it raises the income gap among different income groups in rural as well as urban regions to some extent. In addition, results reveals that in order to reach the objective of reducing income inequality, the two agricultural subsectors, cropping and horticulture production sectors, and food industries can play important role and should be given special attention in allocating income to these sectors.   

Volume 16, Issue 2 (4-2016)
Abstract

A novel approach is presented for the reconfiguration of satellite constellations based on Lambert’s theorem. The reconfiguration problem, in this article, is considered with the constraint of overall fuel cost minimization. Hence, orbital maneuvers required for the operation of reconfiguration is designed in such a way that, transferring the satellites to the desired configuration of constellation will be possible at minimal cost. Also, the introduced method of orbital transfer for implementing the reconfiguration phase of satellite constellation has no limitation on the shape and orientation of initial and target orbits such as: co-planarity, coaxiality, circularity and/or the existence of a common point. Moreover, a method is offered for modeling the cost function of reconfiguration problem in which the two important tasks of optimal orbital transfer of satellites to the target configuration of constellation and optimal assignment of each satellite to a specific terminal position or final orbit will be done in one single step. For this purpose and in order to achieving the globally optimal solution of the reconfiguration problem of constellation the hybrid PSO/GA is used. Finally, two different scenarios of reconfiguration of satellite constellation will be modeled once by the presented approach and once by considering determined positions of flight and deployment for the satellites. The obtained results indicate the superiority of the idea presented in this article.
Soheila Parvin, Ali Asghar Banouei,
Volume 17, Issue 3 (9-2017)
Abstract

The implementation of any economic policy that has expansionary effects requires relatively stable economic conditions. Under such conditions it is expected that potential predictable effects of such policy implementation on welfare of households, especially low income households could be evaluated. The economic context of poverty in the Iranian economy and the ineffectiveness of supportive institutions in particular circumstances make the effects of economic policies on low-income households widespread. In some cases, these effects are so broad that policy-makers are forced to leave or select the opposite course of that policy. Under these conditions, analyzes that illustrate the effectiveness path of policy help the policy-maker to have a clearer picture of the probable consequences of a policy. The main aim of this article is to analyze quantitatively the effects of the recent subsidy targeting policy on the welfare index (cost of living index) in different deciles of urban and rural households using social accounting matrix (SAM) approach. For this purpose two updated social accounting matrices for the years 2009 and 2011 have been used. Both matrices include 40 economic sectors. Comparing the cost of living index, we find that welfare vulnerability of households has decreased in general, however the magnitude of welfare reduction differs between rural and urban households among income deciles. Our findings reveal that the cost of living index of rural households is more than the corresponding urban households. The vulnerability in the natural gas distribution sector has tripled in urban areas in 2011and in rural areas it is nearly four times higher than 2009 level. We also find that every 100-unit increase in cost of electricity will potentially increase welfare index of urban and rural household by 34 and 46 units, respectively. From the distribution viewpoint, the welfare loss is lower for high-income deciles. In addition, our findings show that the degree of vulnerability in middle income groups in majority of sectors is less than the other income groups. The structural path of changes shows that subsidy targeting has created wide complexity and entanglement in the path of the effectiveness of fuel price changes on price indices, especially on the household living cost index. Accordingly, before implementing subsidy targeting scheme, the increase in fuel prices was influencing the household cost index in five ways, while after targeting the increase in fuel prices affected it through the twenty different paths. 

Volume 17, Issue 4 (6-2017)
Abstract

Controlling the path of drugs movement is one of the processes that can effectively help to treat a variety of diseases. For example, in chemotherapy, small fraction of drug is delivered to the cancer cells and other amounts cause destruction of healthy tissues of body, as a result, before destruction of tumors, the body will be destroyed. Hence we cannot remove tumors from body completely. If we are able to control the path of drugs, we could remove tumors with the least injury. One of the ways through which we can control the movement of the drugs is MDT. In this project, we inspect movement of magnetic particles in the blood and their interactions with consideration of constant magnetic field gradient. After governing its equations and presenting a good model for the forces between particles we simulate these processes in the fluent software. The model we used here is a vein with 8 mm diameter. The simulation was done over 8 cm length of the vein, and from the moment of injection. The base fluid is blood which is considered none-Newtonian fluid. Distribution of magnetic particles in the base fluid has been governed by multiphase approach. The simulation results show that residence time of drug in the presence of magnetic field, increases which in turn increases the possibility of drug absorption.

Volume 18, Issue 2 (6-2015)
Abstract

Objective: Prostate cancer is the second cause of cancer-associated death in men. In recent years, targeted therapy for cancer has attracted the attention of researchers. Targeted therapy leads to a decrease in drug adverse effects. Studies indicate that targeting peptides for cancer cells represent valuable tools for diagnostics and therapeutics. Recently, phage display peptide libraries have been used to identify target peptides to a variety of cancer cells. In the current study, we aim to isolate peptides that target PC3 cells (human prostate adenocarcinoma cells). Methods: Four rounds of subtractive panning on control cells that included 5637 (bladder), Huh-7 (liver), SW480 (colon), AGS (stomach) and human fibroblast normal in addition to four rounds of positive panning on PC3 (target cell) were performed. Polyclonal phage ELISA was used to evaluate the process of enrichment during biopanning. Subsequently, phage clones were randomly selected from titer plates, amplified by plaque-PCR, and their genomic DNA was sequenced. We conducted bioinformatic analysis for further characterization of the isolated peptides. Results: Several rounds of panning resulted in the enrichment of a number of peptides. The results of polyclonal phage ELISA indicated that the biopanning process was successful. In silico analysis showed the presence of several consensus amino acid motifs in the peptides. Conclusion: The peptides identified through biopanning can be considered as potential specific binders to PC3 cells. Peptides with specificity binding to target cells can be used for targeted gene and drug delivery to malignant tumor cells. Further analyses of these peptides are required to show their capacity for targeted delivery of various genes and drugs into prostate cancer cells.
Dr Bagher Darvishi,
Volume 23, Issue 4 (12-2023)
Abstract

Introduction:
 In order to target the limited budgets of poverty alleviation programs and increase their efficiency, a wide range of targeting methods including means testing, proxy means testing, categorical targeting, geographical targeting, self-targeting, and community-based targeting has been used  in developing countries (Coady, Grosh and Hoddinott, 2004). However, targeting in Iran, in the best case, has been based on the proxy means testing. Kidd and Wylde (2011) have criticized this method due to lack of transparency and poor predictions in the field of identifying the poor. The main purpose of this article is to compare the different economic and social characteristics of Iran’s rural households with the aim of finding the best characteristics in order to target subsidies in Iran. In this context, the following questions are raised: In a situation where accurate information about household income or expenses is not available, how should households be prioritized to receive subsidies based on their characteristics? How much cash subsidy should each household receive in order to reduce the aggregate poverty? To answer these questions, by following, Kanbur (1987), Ravallion and Chao (1989), Elbers, Fujii, Lanjouw, Özler and Yin (2007), Glewwe (1992) and Araar and Luca (2019), I use a new numerical algorithm, which acts as optimal poverty group targeting. This method is conceived to find the optimal group transfers that allow the largest possible reduction in any additive poverty indexes, like the Foster, Greer, Thorbecke (FGT) class of poverty indexes.
Methodology:
This article uses a new numerical algorithm, which acts as optimal poverty group targeting. This method was first presented by Kanbur (1987), which focused on the theoretical rules of optimization. Then, based on the theoretical findings of Kanbur (1987), Ravallion and Chao (1989) have proposed numerical method that maximizes the reduction in the FGT (
α=2)  index by group transfers, subject to a fixed budget. After that, Glewwe (1992) improved it theoretically, and finally, Araar and Luca (2019) proposed the method of optimal group targeting by modifying Glewwe (1992) method. In fact, the methodology of Glewwe (1992) is a generalization of Kanbor (1987) and Ravallion and Chua (1989) Method, but the mentioned methodologies focused on a subset of poverty indicators (e.g., squared poverty gap index) for which an analytical solution was possible. Contrarily, Araar and Luca (2019) proposed a new method, which is applicable to all additive poverty indices (such as the headcount or poverty gap rates and squared poverty gap indexes).This article uses income-expenditure data of rural households of Iran in 2020, and follows Araar and Luca (2019) methodology. In addition, to check the efficiency of this method, three indicators including the quality of targeting, inclusion and exclusion errors will be used.
Results and Discussion:
In this article, economic and social characteristics of rural households in Iran were compared to targeted poverty alleviation programs. Based on the results, for the head count ratio, the targeting efficiency based on different household characteristics changes between 23.67 and 31.03 %, the population coverage rate changes between 38.93 and 100 %, and the sum of the inclusion and exclusion errors changes between 41.62 and 52.53%. Now, if the targeting is done based on the poverty gap index, the targeting efficiency will be between 42.18 and 48.02 %, the population coverage rate will be between 86.21 and 100 %, and the sum of the exclusion and inclusion errors will be between 46.96 and 52.53%. Finally, if the poverty severity index is used as the basis for targeting, the targeting efficiency will change between 53.99 and 59.51 %, the population coverage rate will change between 99.33 and 100 %, and the sum of the inclusion and exclusion errors will change between 48.92 and 52.53%. It is interesting to note that in targeting based on all three mentioned poverty indicators, the family size, number of members under 7 years old and the education of the household head are always the best characteristics for targeting poverty.
Conclusion:
The main purpose of this article is to compare the different economic and social characteristics of rural households with the aim of identifying the best characteristics in order to targeting subsidies in Iran. According to the results of this article, the characteristic that should be taken into account in targeting is the family size, which the efficiency of targeting based on this characteristic is equal to 51.59% of targeting with complete information. The rate of exclusion and inclusion errors are zero and 52.53%, respectively. Finally, in the targeting based on the family size and squared poverty gap index, the population coverage rate is 100, which is very acceptable from the social point of view.  Paying attention to the changes in the poverty indices based on the household demographic characteristics is very important, because if the family size increases, the poverty indices grow strongly. As a result, the headcount, poverty gap and squared poverty gap indexes for families with six and more people become 2.5, 3.5 and 2.4 times the same index for households with 1-2 people, respecti
vely.

Dr Sara Ghobadi,
Volume 24, Issue 3 (9-2024)
Abstract

     Introduction
The significance of inflation in the economic system and the production reduction or loss resulted from an anti-inflation policy as an integral part of inflation control policies, should never be underrated. It is critically important to study the sacrifice ratio and influencing factors which measure the accumulated losses in real production as a result of one percent permanent reduction in the inflation. It is considered as a criterion which makes it possible to somehow evaluate the effects of inflation control policies imposed by the central bank. Therefore, in the present research, the factors influencing the sacrifice ratio are identified by emphasizing the government debt in Iran and using seasonal data (1997-2021).
Methodology
In order to achieve the goal of the research, the following relationship is considered:

SRt=β0+β1(DebtGdp)t+β2Opent+β3Speedt +β4Transt+β5Itt+εt        (1)
SRt : The sacrifice ratio is equal to the cumulative amount of the reaction of economic growth to the monetary shock, while the denominator only shows the final effect of the change in inflation as a result of a monetary shock. This ratio is calculated as follows:
SR=S=0T∂yt+s∂εm1t+T∂εmt                                                                                                      (2)
Itt : Inflation targeting is defined as an optimal monetary policy. The optimal monetary policy is obtained by minimizing the social loss function according to the constraints of the monetary transmission mechanism. The inflation targeting policy is calculated as follows:
πt*=πt+yt-y+et-et-1                                                                      (3)
πt,πt*  are inflation rate and target inflation rate respectively, (yt-y)  is the deviation of the product from its potential level, et  is the exchange rate (dollar price of the country's currency).
(DebtGdp)t : The ratio of debt to GDP for governments shows their ability to repay their existing loans and repay the loans they will receive. Opent : The degree of trade openness is defined as the ratio of total exports and imports to GDP and reflects economic development and diversity.
 Speedt : The speed of deflation is equal to the ratio of the total amount of deflation to the length of time during which inflation has decreased.
Transt : The instrument of monetary policy is more transparent, which can reveal the actions of the monetary policy maker better and faster to the public. The index defined for transparency was considered as the following relationship:
TIBLt =110 -1INFibound-INFt if INFt =INFt* if INFilower-boundt <INFt Fiupper-boundif INFt INFiupper-bound or INFt ≤INFilower-bound               (4)
INFi  consumer price index, INFt* monthly inflation, INFibound  time interval of inflation in each year, INFi*  inflation was considered and calculated and the past transparency index. When transparency is high, this index is equal to one, and if inflation is very high and in other words, transparency is very low, the index above will be equal to zero.
To achieve the goal of this research, the Smooth Transition Regression Model (STR) is used.
Findings
The results obtained from the estimation of the model indicate that (DebtGdp)t-1  is the transition variable of the sacrifice ratio function. So that when (DebtGdp)t-1  reaches the threshold of 0.817, the function of the sacrifice ratio enters the second limit regime. The results indicate that (DebtGdp)t  and Opent  in both regimes have a positive effect on the sacrifice ratio and this effect is strengthened in the second regime. In the second regime, the Speedt  also had a positive effect on the sacrifice ratio. Also, Transt  and Itt  have had a negative effect on the sacrifice ratio in both regimes, but this effect has been strengthened in the second regime.
Discussion and Conclusion
In relation to the positive effect of (DebtGdp)t  on the sacrifice ratio, it can be said that an increase in government debt increases the wealth of bond holders, provided that other wealth items are constant, so the price of long-term bonds increases. The total demand and price level increase at the same time. In this case, the supply of money, which is endogenous and a function of the demand and the amount of government debt, increases in accordance with the demand for money. In this case, the price level, which is the balancing factor of the future nominal value of discounted wealth and the nominal value of public debt, increases. Therefore, the cost of deflationary policies has increased and ultimately leads to an increase in the sacrifice ratio.
Expansionary monetary policy can lead to excess demand in the economy and thus cause an increase in the general level of prices, and the pressure to increase prices can be reduced through imports and thus by changes in the balance of payments. In fact, trade openness may shift some of the inflationary pressure to the balance of payments, resulting in lower average increases in the general price level. The positive effect of increasing speed of reducing inflation, in the second regime has led to an increase in the sacrifice ratio.
In general, the improvement in the transparency index will be effective in reducing the sacrifice ratio. In case of transparency in Central Bank data, it could be potentially considered as one of the key tools in the field of monetary policy management. In fact, the transparency of information will lead to an increase in the commitment of Central Bank in dealing with inflation. It could also control inflation and ultimately lead to a reduction in the cost of deflationary policies, and sacrifice ratio decrease.
Inflation targeting by means of public announcement of official quantitative targets for the rate of inflation over one or more times horizons could be considered as a workable policy. By explicit declarations, low and stable inflation will be assumed as the main goal of monetary policy in the long run. Inflation targeting minimizes the motivation of Central Bank to show opportunistic behavior and this may increase the credibility of this regulatory institution in the loner term. Subsequently, the general public will adjust their inflation expectations in a fast state and therefore the costs of deflationary policies will decrease in return.
   


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