bearing capacity prediction of axially loaded piles is one of the most important problems in geotechnical engineering practices, with a wide variety range of methods which have been introduced to forecast it accurately. machine learning methods have been reported by many contemporary researches with some degree of success in modeling geotechnical phenomena. in this study, a fairly new machine l...

pierre-gerlier forest and his colleagues make a strong argument for the need to expand policy capacity among healthcare actors. in this commentary, i develop an additional argument in support of forest et al view. forest et al rightly point to the need to have embedded policy experts to successfully translate healthcare reform policy into healthcare change. translation of externally generated i...

In this paper, the problem of determining capacity a communication channel is formulated as cooperative game, between generator and discriminator, that solved via deep learning techniques. The task to produce input samples for which discriminator ideally distinguishes conditional from unconditional output samples. approach, referred (CORTICAL), provides both optimal signal distribution estimate...

today, organizations that increasingly involved with dynamic environment and change must predict future changes in order to survive and succeed in a competitive world. the aim of this article was survey of the effect of innovation strategies on organizational entrepreneurship development with emphasis on organizational learning capacity in lorestan industrial estates. the research objective was...

Pierre-Gerlier Forest and his colleagues make a strong argument for the need to expand policy capacity among healthcare actors. In this commentary, I develop an additional argument in support of Forest et al view. Forest et al rightly point to the need to have embedded policy experts to successfully translate healthcare reform policy into healthcare change. Translation of externally generated i...

in knowledge-based economy, knowledge has a public good and non-rivalry nature. firms build their own knowledge stock not only by means of internal r&d and collaboration with partners, but also by means of previously spilled over knowledge of other firms and public research laboratories (such as universities). firms based on their absorptive capacity, and level of intra-industry and extra-i...

In knowledge-based economy, knowledge has a public good and non-rivalry nature. Firms build their own knowledge stock not only by means of internal R&D and collaboration with partners, but also by means of previously spilled over knowledge of other firms and public research laboratories (such as universities). Firms based on their absorptive capacity, and level of intra-industry and extra-indus...