Profiling of Genes Related to Cross Protection and Competition for NbTOM1 by HLSV and TMV

10.1371/journal.pone.0073725PLoS ONE89-POLN

The complex remuneration of human resources for health in low-income settings: policy implications and a research agenda for designing effective financial incentives

Background Human resources for health represent an essential component of health systems and play a key role to accelerate progress towards universal health coverage. Many countries in sub-Saharan Africa face challenges regarding the availability, distribution and performance of health workers, which could be in part addressed by providing effective financial incentives. Methods Based on an overview of the existing literature, the paper highlights the gaps in the existing research in low-income countries exploring the different components of health workers' incomes. It then proposes a novel approach to the analysis of financial incentives and delineates a research agenda, which could contribute to shed light on this topic. Findings The article finds that, while there is ample research that investigates separately each of the incomes health workers may earn (for example, salary, fee-for-service payments, informal incomes, top-ups- and per diems, dual practice and non-health activities), there is a dearth of studies which look at the health workers' complex remuneration-, that is, the whole of the financial incentives available. Little research exists which analyses simultaneously all revenues of health workers, quantifies the overall remuneration and explores its complexity, its multiple components and their features, as well as the possible interaction between income components. However, such a comprehensive approach is essential to fully comprehend health workers' incentives, by investigating the causes (at individual and system level) of the fragmentation in the income structure and the variability in income levels, as well as the consequences of the complex remuneration- on motivation and performance. This proposition has important policy implications in terms of devising effective incentive packages as it calls for an active consideration of the role that complex remuneration- plays in determining recruitment, retention and motivation patterns, as well as, more broadly, the performance of health systems. Conclusions This paper argues that research focusing on the health workers' complex remuneration- is critical to address some of the most challenging issues affecting human resources for health. An empirical research agenda is proposed to fill the gap in our understanding.This article is about public relations expertise. It presents the results of an extensive empirical enquiry and is framed by the concept of profession and the sociological debates that surround it.sch_iih13pub3968pub6

Activity Recognition Using Biomechanical Model Based Pose Estimation

In this paper, a novel activity recognition method based on signal-oriented and model-based features is presented. The model-based features are calculated from shoulder and elbow joint angles and torso orientation, provided by upper-body pose estimation based on a biomechanical body model. The recognition performance of signal-oriented and model-based features is compared within this paper, and the potential of improving recognition accuracy by combining the two approaches is proved: the accuracy increased by 4–6% for certain activities when adding model-based features to the signal-oriented classifier. The presented activity recognition techniques are used for recognizing 9 everyday and fitness activities, and thus can be applied for e.g., fitness applications or ‘in vivo’ monitoring of patients