As the global prevalence of obesity and chronic diseases continues to rise, the need for effective health promotion programs is imperative. Whilst research into effectiveness of health promotion programs is needed to improve population health outcomes, translation of these research findings into policy and practice is crucial. Translation requires not only efficacy data around what to implement...

BACKGROUND The Pacific TROPIC (Translational Research for Obesity Prevention in Communities) project aimed to design, implement and evaluate a knowledge-broking approach to evidence-informed policy making to address obesity in Fiji. This paper reports on the quantitative evaluation of the knowledge-broking intervention through assessment of participants' perceptions of evidence use and developm...

BACKGROUND Knowledge Translation is a process that includes synthesis, dissemination, exchange and application of knowledge to improve the health, services and products In this study we have attempted to examine the knowledge translation practice and its perceived barriers on the universalities and research institutes (research sector) in Iran. METHODS Both qualitative and quantitative approa...

Clinical testing of nanomedicines presents two challenges to prevailing, human subject-centered frameworks governing research ethics. First, some nanomedical applications may present risk to persons other than research subjects. Second, pressures encountered in testing nanomedicines may present threats to the kinds of collaborations and collective activities needed for supporting clinical trans...

INTRODUCTION Evidence-based policy plays an important role in prevention of cancer and other chronic diseases. The needs of actors involved in policy decision-making should inform knowledge translation strategies. This study examines the differences between state legislators and advocates in how they seek and use information and what their preferences are for how research information is framed....

This article argues that in public health research, standard approaches to knowledge translation are based on (1) an invalid model of the relationship between research knowledge and policy and (2) an oversimplified concept of ‘knowledge’. Standard approaches tend to focus primarily on communicating research knowledge to policy makers in order to increase the impact of research on policy making....

Abstract International NGOs (INGOs) are important agents in delivering the UN’s sustainable development agenda, but their linguistic practices have received little attention field of language policy and planning. This article aims to add new insights by exploring link between INGOs’ organisational value inclusiveness institutional approaches translation. It does so through a case study Oxfam GB...

Introduction As it was emphasized by Moed, H.F., Glänzel W. & Schmoch U. (2005) in their editors’ introduction to the Handbook of Quantitative Science and Technology Research: "A most important data source for analysis of the science system is the Science Citation Index (SCI) and related Citation Indexes published by the Institute for Scientific Information (ISI–Thomson Scientific, Philadelphia...

Recent research in neural machine translation has largely focused on two aspects; neural network architectures and end-toend learning algorithms. The problem of decoding, however, has received relatively little attention from the research community. In this paper, we solely focus on the problem of decoding given a trained neural machine translation model. Instead of trying to build a new decodi...