Recently, there has been a lot of interest in temporal granularity, and its applications in temporal dependency theory and data mining. Generalization hierarchies used in multi-dimensional databases and OLAP serve a role similar to that of time granularity in temporal databases, but they also apply to non-temporal dimensions, like space. In this paper, we first generalize temporal functional de...

BACKGROUND The interRAI-Home Care (interRAI-HC) instrument is commonly used in routine care to assess care and service needs, resource utilisation and health outcomes of community dwelling home care clients. Potentially, the interRAI-HC can also be used to calculate societal costs in economic evaluations. The purpose of this study was to assess the convergent validity of the interRAI-HC instrum...

AIM Physicians' inappropriate prescribing habits affect patients' lives both medically and financially. To avoid these unwanted situations, the World Health Organization defined the rational use of drugs (RUD) in 1985. This study aimed to investigate whether patients were as informed about their diagnosis and medication as anticipated and their knowledge about the RUD in general. METHODS A qu...

Background: Drilling is one of the most widely used process in orthopaedic surgical operation and the same drill bit is used a number of times in hospitals. Using the same drill bit a several times may be the cause of osteosynthesis and osteonecrosis. Methods: In the present work, the effect of repeated orthopaedic surgical twist drill bit on the tool wear, force, torque, temperature and chip m...

We study the economic cost of dementia in Chile, and its variation according to socioeconomic status (SES). We use primary data from a survey of 330 informal primary caregivers who completed both a RUD-Lite and a socio-demographic questionnaire to evaluate the severity of dementia and caregiver's burden. The costs of dementia are broken into three components: direct medical costs (medical care,...

Deep Deterministic Policy Gradient (DDPG) algorithm is one of the most well-known reinforcement learning methods. However, this method inefficient and unstable in practical applications. On other hand, bias variance Q estimation target function are sometimes difficult to control. This paper proposes a Regularly Updated (RUD) policy gradient for these problems. theoretically proves that procedur...

Developing a Model for the Integrated Management of Water and Soil Resources in Hableh-Rud River Basin Using System Dynamics Approach

Investigation of the Effective Factors on Improvement Stakeholders Relationships in Zayandeh-Rud Basin