In the current era, a rapid increase in data volume produces redundant information on internet. This predicts appropriate items for users great challenge systems. As result, recommender systems have emerged this decade to resolve such problems. Various e-commerce platforms as Amazon and Netflix prefer using some decent recommend their users. literature, multiple methods matrix factorization col...

Credit rating agencies play a key role in financial markets, as they help to reduce asymmetric information among market participants via credit ratings. The ratings determined by the reflect opinion of whether country can fulfil liability or its reliability at particular time. Therefore, are very valuable tool, especially for investors. In addition, issue that generally criticised is unsuccessf...

We conducted a global study of the long-term issuer ratings of nonfinancial firms from Standard and Poor's Ratings Services (S&P) for the period 1998–2003. Specifically, we focused on the solicited versus unsolicited ratings and sample-selection bias in the analysis. Unlike the literature, we adopted an improved method using Wooldridge’s instrumentalvariable approach to mitigate the concern of ...

land use planning is the main core of urban planning and one of the main components of an urban system. this element has close relation with transportation system of the city, so if their interaction becomes insufficient, deterioration and chaos would have an adverse impact on the urban system and would cause serious environmental issues. the integrated land use-transportation models seem to b...

background and objectives: low fruit/vegetable (fv) diet seems to be a global public health problem. the trans-theoretical stages of change model have long been considered a useful interventional approach in lifestyle modification programs. the aim of this study was to find the most important intermediating factors of fv consumption in mashhad, iran. materials and methods: in this cross-section...