striking disparities in access to healthcare and in health outcomes are major characteristics of health across the globe. this inequitable state of global health and how it could be improved has become a highly popularized field of academic study. in a series of articles in this journal the roles of power and politics in global health have been addressed in considerable detail. three points are...

gingivitis is an inflammatory destructive disease mainly caused by microbial plaques. gram-positive and gram-negative bacilli or cocci have been isolated from dental plaque and gingivitis. this study was going to isolate and characterize the pathogenic bacteria from gingival of 100 patients with oral gingivitis. enriched and specific media used for isolation of bacteria. identification of isola...

inequalities in the social determinants of health (sdh), which drive avoidable health disparities between different individuals or groups, is a major concern for a number of international organisations, including the world health organization (who). despite this, the pathways to changing inequalities in the sdh remain elusive. the methodologies and concepts within system science are now viewed ...

‎Rough extreme learning machines (RELMs) are rough-neural networks with one hidden layer where the parameters between the inputs and hidden neurons are arbitrarily chosen and never updated‎. ‎In this paper‎, ‎we propose RELMs with a stable online learning algorithm for the identification of continuous-time nonlinear systems in the presence of noises and uncertainties‎, ‎and we prove the global ...

There is a growing international consensus that African health systems need to improve, but no agreement on how to accomplish this. From the perspective of modern quality improvement (QI), a central issue for low performance in these health systems is the relative neglect of health-care processes. Both health system leaders and international donors have focused their efforts elsewhere, producin...

OBJECTIVES In this paper we aim to characterise the critical mass of linked data, methods and expertise required for health systems to adapt to the needs of the populations they serve - more recently known as learning health systems. The objectives are to: 1) identify opportunities to combine separate uses of common data sources in order to reduce duplication of data processing and improve info...