The subject of the research are companies IT sector, as a strategically important sector in information age. Their development is associated with high risks and requires large volumes investments, including attracting bank loans. In this regard, purpose study was to develop an adequate sectoral methodology for rating by level creditworthiness using mathematical statistical tools that make it po...

As a financial institution that is very vulnerable to negative issues, Bali Governor Regulation No 44/2017, which regulates the management of an LPD (Village Credit Institution) directs LPDs be managed carefully. Performance indicators must considered are level health and risk rating LPD, determined by number factors/components related condition procedures for managing LPD. The procedure determ...

Many recent studies of trust and reputation are made in the context of commercial reputation or rating systems for online communities. Most of these systems have been constructed without a formal rating model or much regard for our sociological understanding of these concepts. We first provide a critical overview of the state of research on trust and reputation. We then propose a formal quantit...

For more than 30 years, underrepresentation of certain racial, cultural, and income groups in gifted and talented programs has been documented as a serious problem. Not only does this issue make gifted programs appear as if they are designed solely for upper class, dominant-culture individuals, but it also means that talented students from diverse backgrounds are not having their needs met. Thi...

OBJECTIVES/HYPOTHESIS Despite the transition to competency-based education in surgery, few standardized assessment tools exist in otolaryngology training. In particular, myringotomy and tympanostomy tube insertion (M+T) is a common surgical procedure with few validated assessment tools available. Our objectives were to develop an objective structured assessment of operative skills in M+T and to...

An user-specific tendency of biased movie rating is investigated, leading six identified types of rating pattern in a massive movie rating dataset. Based on the observed bias assumption, we propose a rescaling method of preferential scores by considering the rating types. Experimental results show significant enhancement for movie recommendation systems.

iv CHAPTER