intellectual capital (ic) is organizational intangible asset which is frequently associated with performance. ic is commonly categorized into three core components: human capital, structural capital and relational capital. this study takes a step further in the evolution of the ic model for the hotel industry and divides relationship capital into two categories: end customer- relationship capit...

the aim of this study is designing a model for the optimal development of human resources in academic libraries. to this end, the university of tehran library as a case study is investigated. with regard to the four independent variables- organizational structure, organizational culture, leadership and strategic perspective, and mediator variables of attitude, behavior and creativity of staff- ...

Intellectual capital (IC) is organizational intangible asset which is frequently associated with performance. IC is commonly categorized into three core components: human capital, structural capital and relational capital. This study takes a step further in the evolution of the IC model for the hotel industry and divides relationship capital into two categories: End customer- relationship capit...

in the recent years, advances in medical technologies for end stage cancer patients' care have affected the end-of-life decision-making in clinical practice and exposed oncologists to serious ethical dilemmas. but little is known about oncologists' viewpoints in our country regarding their ethical problems in this mention. we aimed to clarify the ethical dilemmas which iranian oncologists may f...

Current Internet is not able to deploy advanced end-to-end services to support new applications, like interactive multimedia. The best effort service, supported by the Internet, does not offer Quality of Service (QoS) performance guarantees to these applications. Although technology for providing QoS-based services inside domains (networks) is available, the challenge is how domains should inte...

In this paper, we introduce a novel approach for modeling n-grams in a latent space learned from supervised signals. The proposed procedure uses only unigram features to model short phrases (n-grams) in the latent space. The phrases are then combined to form document-level latent representation for a given text, where position of an n-gram in the document is used to compute corresponding combin...