Music therapy, knowledge of music and architecture: the effect of music on grief caused by mourning in Ilam Chamri religion

Background: The art of music and architecture are one of the most visible manifestations of culture and ethnicity in every historical period, and music has historically played a valuable role in softening human perception and spirits; thus, can play a decisive role in health life for a long time. Methods: Non-pharmacological therapies, have the potential to supplement medical treatment alternatives to aid recovery and well-being in health care. Music therapy is a relatively new discipline of musicology that has lately been able to assist individuals in the treatment of ailments that are inextricably linked to architecture. Is it possible for music and architecture, which have an unbreakable link with the past, to retain this bond and build a relationship of abuse and violation with the science of psychology and counselling? Results: This essay was written in a combined-analytical (comparative, descriptive, and analytical) style, using data collected via documentary, library, and field research approaches. The findings of this study reveal that music and architecture may have a similar effect on the human psyche, and the science of music therapy has been able to capitalize on these similarities in medicine. Conclusion: The current article first introduces the commonalities of music and architecture and expresses the importance of these two arts' commonalities, after which it will be addressed how these commonalities in an ancient ritual called Chamri, which is held in Ilam province

An Analysis of Arbaeen Pilgrims' Perception of Servitors' Behavior; An Anthropological Account of the Colossal Arbaeen March

The pilgrimage of Arbaeen, the 40th day of the martyrdom of ImamHussein (peace be upon him), which is exclusively reserved for and highlyrecommended by him, has continually been organized from Ashura in 61AH onward. In recent years, the pilgrimage of Arbaeen has become thelargest human congregation and a unique phenomenon in the world, so thatsome scholars consider it a miracle of the time. Those engaged in Arbaeenare highly diverse and demonstrate new behaviors and common normsduring this celebration.This article gives an account of the behavior of the hosting Iraqi peopleand servitors during Arbaeen from the point of view of those at place.The research is qualitative and of an anthropological type. The data wascollected through collaborative observation and both individual and groupinterviews conducted and classified by the researcher who has participatedin the event on numerous occasions.Research findings include three themes or categories of tradition,blessing and kindness, In other words, the pilgrims, the behavior of theIraqi people and their relentless service all along the path are ascribed totradition (the traditional roots of the people including their custom ofhospitality), blessing (the request for sustenance of blessings from Imams,in particular Imam Hussein) and ultimately an expression of disinterestedlove (devoting oneself to Imam (as) without any expectation ofreciprocation)

Presenting a Model of Crowdsourcing Cultural Policies with a Forward-Looking Approach

People's participation in decision-making and governance, as the factor that provides the most acceptance to governments, has always been one of the most important values in governing. On the other hand, the increasing complexity and multidimensionality of problems and needs, especially in recent times, has led governments to feel, more than ever, the need for public participation and benefit from their votes and increased innovation. Therefore, they seek to discover and design new up-to-date ways to attract public participation and address the shortcomings of previous ways. For a long time,the method of public participation has been representative democracy, in which people's representatives identify the problems and needs of society and design public policies to solve them. In the present study; The researcher seeks to provide a model of crowdsourcing cultural policies with a forward-looking approac

Designing a Model for Improving Banking Recommender Systems Based on Predicting Customers’ Interests: Application of Data Mining Techniques

Nowadays, banks require new devices such as recommender systems to attract and preserve customers. Unlike most recommender systems in which the given recommendation is based on similarities between the preferences of users, this research has employed the classification techniques where customer’s past interests is considered as the most important feature to provide proper banking services for them. In this research, four classifiers including MLP, SVM, KNN, and Naïve Bayes have been used.  Firstly, the data set which was related to the services used by different bank customers was pre-processed and four different classification methods were trained by using it. Then, their validations were assessed by the 10-fold cross validation and the best method was selected. Lastly, the final recommender system which was a combination of four classification methods including Naïve Bayes with performance P=%85.4, 5-nn with P=%83.3, MLP with P=%81.4, and MLP with P=%92.6 respectively proposed for recommendation of four banking services including the internet, mobile, internet transfer and paying on the phone is