Following the request of the Tehran municipality and in order to provide the spatial information required in their various projects, a real-time kinematic network has been designed for Tehran. Based on the existing measures such as the dilution of precision at the network point positions, two different designs have been proposed. A minimum number of six GNSS stations are used in both of the pro...

The concept of e-health gains rapid and widespread international acceptance as the most practical means of reducing burgeoning healthcare costs, improving healthcare delivery, and reducing medical errors. However, due to profit-maximizing forces controlling healthcare, the majority of e-based systems are characterized by non-existent or marginal compatibility leading to platformcentricity that ...

Background Iranian single women are deprived of reproductive healthcare services, though the provision of such services to the public has increased. This study aimed to explore the experiences of Iranian single women on their access to reproductive health services.   Methods A qualitative design using a conventional content analysis method was used. Semi-structured interviews were held with 17 ...

Logistics Network Design includes network configuration decisions having long-standing influences on other tactical and operational decisions. Recently, regarding environmental issues and customer awareness and global warming closed-loop supply chain network design is taken into consideration. The proposed network for the integrated forward and reverse logistics is developed by formulating a cy...

The business community has learned the value of design thinking as a way to innovate in addressing people's needs--and health systems could benefit enormously from doing the same. This paper lays out how design thinking applies to healthcare challenges and how systems might utilize this proven and accessible problem-solving process. We show how design thinking can foster new approaches to compl...

With the popularity of deep learning, hardware implementation platform learning has received increasing interest. Unlike general purpose devices, e.g., CPU or GPU, where algorithms are executed at software level, neural network accelerators directly execute to achieve higher energy efficiency and performance improvements. However, as evolve frequently, engineering effort cost designing greatly ...