Development of a hybrid system of artificial neural networks and artificial bee colony algorithm for prediction and modeling of customer choice in the market

With the increasing growth of technology and the emergence of various industries, numerous manufacturers have entered this field. In today's world, sellers and manufacturers find themselves among a vast number of competitors. Therefore, they need to adopt a variety of policies and strategies for their own survival and profitability. Companies should identify their customers’ needs and adopt their own policies based on customers’ purchase behaviors. To this end, attempts have been made to identify the customer choice model since the past decades. These models aim at modeling and predicting customer choice among several brands. Traditional models were of interest for many years and these methods were frequently used with the advent of artificial intelligence and machine learning systems. They could demonstrate very good results. In this study, it has been attempted to present a new method for the modeling and prediction of customer choice in the market using the combination of artificial intelligence and data mining. Indeed, the new model is to be applied in helping managers with decision-making. Hence, probabilistic neural networks have been combined with artificial bee colony algorithm.  The proposed model was tested in a real market and its efficiency and accuracy were finally compared with those of other models, including neural network trained with back-propagation, probabilistic neural networks, and the neural networks trained with genetic algorithm. The results reveal that the hybrid model shows better performance than the other models.Keywords: Consumer Choice Model, Data Mining, Artificial Intelligence, modeling, predicting, probabilistic neural network, artificial bee colony algorith

Active Flow Control of Lifting Surface With Flap-Current Activities and Future Directions

The main objective is to develop effective control strategies for separation control of an airfoil with a single hinge flap. The specific objectives are: Develop an active control architecture for flow control around an airfoil with flap. Design, fabricate, a wind tunnel test of a high lift wing (with flap) with integrated actuators and sensors. Design, development and fabrication of synthetic jet actuators. Develop appropriate control strategy for application to the airfoil. Wind tunnel testing of the high lift wing at various angles of attack and flap positions with closed loop control

Epistatic interaction between adiponectin and survivin gene polymorphisms in endometrial carcinoma

Adiponectin appears to play an important role in the development and progression of several obesity-related malignancies. Also, overexpression of survivin, an inhibitor of apoptosis protein, is associated with increased risk of cancers. The aim of this study was to investigate the association between two polymorphisms in the adiponectin gene and endometrial cancer (EC) risk. We also investigated whether epistasis between surviving and adiponectin gene polymorphisms are associated with EC risk in an Iranian population.The samples comprised formalin-fixed, paraffin-embedded tissue sections obtained from the archive of the pathology department, Imam-Khomeini Hospital and Firouzgar hospital. After DNA extraction the genotyping was performed using PCR-RFLP technique.Single nucleotide polymorphisms (SNPs) in adiponectin (rs1063539, rs2241766) and survivin (rs9904341) gene were evaluated in the study. The increased frequency of ADIPOQ rs1063539C allele (CC. +. CG genotype) was associated with decreased EC risk OR: 0.39(0.17-0.90). Survivin rs9904341C allele (CC. +. CG genotype) was associated with increased EC risk crude OR: 2.75(1.27-5.95), adjusted OR: 2.93(1.27-6.76). We observed an epistatic interaction between survivin rs9904341 CC. +. CG genotype and ADIPOQ rs1063539 GG genotype increasing the risk of EC compared to those with other genotypes OR: 4.86(1.88-12.54), P=0.001.Our findings indicate that adiponectin might have a modulatory effect on survivin role and function in EC, which requires further investigation. © 2014 Elsevier GmbH

Parallel In Vivo and In Vitro Melanoma RNAi Dropout Screens Reveal Synthetic Lethality between Hypoxia and DNA Damage Response Inhibition

SummaryTo identify factors preferentially necessary for driving tumor expansion, we performed parallel in vitro and in vivo negative-selection short hairpin RNA (shRNA) screens. Melanoma cells harboring shRNAs targeting several DNA damage response (DDR) kinases had a greater selective disadvantage in vivo than in vitro, indicating an essential contribution of these factors during tumor expansion. In growing tumors, DDR kinases were activated following hypoxia. Correspondingly, depletion or pharmacologic inhibition of DDR kinases was toxic to melanoma cells, including those that were resistant to BRAF inhibitor, and this could be enhanced by angiogenesis blockade. These results reveal that hypoxia sensitizes melanomas to targeted inhibition of the DDR and illustrate the utility of in vivo shRNA dropout screens for the identification of pharmacologically tractable targets

Computational Cancer Biology: An Evolutionary Perspective

ISSN:1553-734XISSN:1553-735

Production Scheduling Requirements to Smart Manufacturing

The production scheduling has attracted a lot of researchers for many years, however most of the approaches are not targeted to deal with real manufacturing environments, and those that are, are very particular for the case study. It is crucial to consider important features related with the factories, such as products and machines characteristics and unexpected disturbances, but also information such as when the parts arrive to the factory and when should be delivered. So, the purpose of this paper is to identify some important characteristics that have been considered independently in a lot of studies and that should be considered together to develop a generic scheduling framework to be used in a real manufacturing environment.authorsversionpublishe

Prevalence of iron deficiency anemia in the afghan refuge Semnan camp

Introduction: Anemia is one of the main problems of the public health in the world. The mostreason for its high prevalence is low iron diet which in progressive cases has notable complications.Due to high prevalence of iron deficiency anemia among Afghanistan inhabitant, the aim of this studywas to determine the prevalence of anemia in a afghan refugee camp in Semnan.Material and Method: This descriptive cross-sectional study was performed on 321 persons in theafghan refugee Semnan camp in 2004. A blood sample (two ml in EDTA coagulant) was taken fromeach person for performing CBC and HbA2 test and another five ml blood collected in a tube test formeasuring serum iron. MCV less than 80 femtoliter and serum iron less than 35 μg /dl in female and60 μg/dl in male and HbA2 less than 3.5% were considered as iron deficiency anemia.Results: Our results indicated that 29 cases (9%) including 12 male cases (8.6%) and 17 femalecases (9.4%) showed an iron deficiency anemia among 321 afghan refugee.Conclusion: Low prevalence of iron deficiency anemia in the afghan refugee camp with comparedto Afghanistan residents may indicate well nutrition of Afghan people who live in the afghan refugecamp of Semnan

Distribution of estrogen and progesterone receptors in Epulis Fissuratum

Statement of Problem: Epulides Fissurata (EF) are common proliferative and denture- induced lesions of the oral cavity with a predilection for female. This suggests a possible role for sex steroid hormones in the development and progression of these lesions. Purpose: The objective of this study was the immunohistochemical evaluation of epulis fissuratum of the oral cavity for estrogen and progesterone receptors expression in epithelial, stromal, inflammatory and endothelial cells populations. Materials and Methods: In this cross-sectional study, 15 samples of formalin- fixed, paraffin- embedded epulis fissuratums including marginal mucosal tissues in 4 cases as a control group, were immuno-histochemically evaluated for estrogen and progesterone receptors protein expression. Result: In 10 cases, estrogen receptor positivity was found within the epithelium and progesterone receptor immunoreactivity was present in 7 cases. Stromal cells exhibited estrogen and progesterone receptor immunostaining in many cases but only few cases showed expression of these receptors in the inflammatory and endothelial cells. Estrogen and progesterone receptors were also detected in some cases containing salivary glands tissue. Conclusion: Although chronic irritation may be the initiating factor for the occurence of epulis fissuratum, some of the cells in the lesion, could be potential targets for estrogen and progestrone hormones

Grey literature as Valuable Resources in National Library of Iran: From Organizing to Digitization

Grey literature is an important source of information due to the uniqueness of the content that gets published. Because commercial publishers are looking to make a profit on the materials they publish, they often overlook niche research areas that serve smaller populations. Grey literature is one way to search for information in emerging or less popular research areas. It seems that it reinforce research and accelerate continuous movement towards having a scientific society. Any source of information that has not been released to the market after printing is considered as grey literature. Grey literature is a special resource that is created for a specific purpose and audience and is replicated finitely. It is impermanent and invisible, and cannot be seen in the directory of publishers, bookshops and libraries. The National Library of Iran was founded in 1937. The main goal of this organization is collecting, preserving, organizing and disseminating information about printed and non-printed works in Iran, and taking measures and making decisions to guarantee the accuracy, ease and speed of research and study in all fields to promote national culture. In order to achieve these goals, and according to the law, all private and public publishers are required to submit a copy of their publications (book and non -book materials) to the National Library of Iran . There are more than 900 thousand issues in the grey literature group at the National Library, over 240,000 issues of which are digitized. After being collected, these resources are organized and made available to users. Report, research project, standard and dissertations are among the most important sources of the National Library of Iran ’s grey literature, used by many researchers daily.In this research, the process of collecting, organizing and disseminating of information of these sources in the National Library of Iran will be expressed as a successful practical experience. Besides, it will be shown how the National Library of Iran has dealt with the problems it faced with

Greenhouses Energy Supply Modeling Using Renewable Energy in Grid-Connected mode

IntroductionThe increasing global population on the one hand and limited water and soil resources on the other hand, contribute to the need for the supply of agricultural products by adopting modern methods. One of the modern methods of farming is the cultivation of products in commercial greenhouses. Despite favorable performance of greenhouses in the agricultural sector, high demand for direct and indirect energy is among the main considerations of developing them because the energy supply of greenhouses has the highest influence on the performance of greenhouses, quality of products, and market price of products. In this study, the energy supply of greenhouses in the case of using renewable resources is done in a grid connection state. Trading energy with main grid is enabled. Decision-makers’ objective is determining the optimal number of renewable resources and energy storage units for the purpose of income maximization.Materials and MethodsBasically, the supply of energy for greenhouses or in other terms supply of electric, cooling, and heating loads required by greenhouses is intended to cover lighting, internal temperature, emission of CO2, and relative humidity. Since many greenhouses have proper access to the main grid for the supply of their demanded load, the problem seeks maximum use of renewable energy rather than buying power from the grid for supplying the loads which greenhouses need to its secure revenues. To this, mathematical modeling has used to determine the optimal number of energy sources and storage units that revenues of using renewable energy resources be optimized based on existing limitations. These limitations include balancing generation and consumption of thermal and electrical power in each hour, logical relationship between charging and discharging of batteries, limit of power generation of renewable sources in each hour of the day and the level of capital available for investment.Results and DiscussionBased on the collected data, 9 different issues have been defined in terms of the proportion of costs of solar energy and wind energy and the proportion of purchasing and selling price of power. The obtained results suggest that in the case of equality of investment and maintenance costs of solar and wind energies, the use of wind energy rather than solar energy will be justified. The most significant reasons for this is considering proper conditions of wind speed which causes its inclusion in optimal solution of the problem since using solar energy during nightly hours is impossible. In addition, in the case of the equality of above costs, when purchasing and selling price of power cost is the same, the generated energy is completely used in the greenhouse. In the case of increasing the selling price, energy supply to the main grid will be economically justified. Since investment and maintenance costs of wind power are two times and 1.5 times higher than those of solar energy, using wind energy is cost-effective.ConclusionsThe results suggest that in the case of an equal price of selling power to the grid and buying power from it, all of the energy will be consumed in the greenhouse. In the case of an increase in selling price, the supply of energy to the main grid will be economically justified. In addition, the results imply the significant effect of geographic conditions of the region, since sometimes concurrent use of renewable energies is unjustified. Since the lack of supply of energy to greenhouses significantly influences the cultivation of products, considering the cost of lack of energy supply in modeling is one of the contributions of the present study. Another significant aspect of the study is the generalization of modeling from the greenhouse to greenhouse complexes. To do so, using the notion of micro-hub for greenhouses and their management will be useful