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

Exploring the influence of trust relationships on motivation in the health sector: a systematic review.

BACKGROUND: Dedicated and motivated health workers (HWs) play a major role in delivering efficient and effective health services that improve patients' experience of health care. Growing interest in HW motivation has led to a global focus on pay for performance strategies, but less attention has been paid to nurturing intrinsic motivation. Workplace trust relationships involve fair treatment and respectful interactions between individuals. Such relationships enable cooperation among HWs and their colleagues, supervisors, managers and patients and may act as a source of intrinsic motivation. This paper presents findings from a qualitative systematic review of empirical studies providing evidence on HW motivation, to consider what these studies suggest about the possible influence of workplace trust relationships over motivation. METHODS: Five electronic databases were searched for articles reporting research findings about HW motivation for various cadres published in the 10-year period 2003 to 2013 and with available full free text in the English language. Data extraction involved consideration of the links between trust relationships and motivation, by identifying how studies directly or indirectly mention and discuss relevant factors. RESULTS: Twenty-three articles from low- and middle-income countries and eight from high-income countries that met predetermined quality and inclusion criteria were appraised and subjected to thematic synthesis. Workplace trust relationships with colleagues, supervisors and managers, employing organisation and patients directly and indirectly influence HW motivation. Motivational factors identified as linked to trust include respect; recognition, appreciation and rewards; supervision; teamwork; management support; autonomy; communication, feedback and openness; and staff shortages and resource inadequacy. CONCLUSION: To the authors' knowledge, this is the first systematic review on trust and motivation in the health sector. Evidence indicates that workplace trust relationships encourage social interactions and cooperation among HWs, have impact on the intrinsic motivation of HWs and have consequences for retention, performance and quality of care. Human resource management and organisational practices are critical in sustaining workplace trust and HW motivation. Research and assessment of the levels of motivation and factors that encourage workplace trust relationships should include how trust and motivation interact and operate for retention, performance and quality of care

Contribution of a mutational bias in hepatitis C virus replication to the genetic barrier in the development of drug resistance

The development of resistance to direct-acting antivirals (DAAs) targeting the hepatitis C virus (HCV) can compromise therapy. However, mechanisms that determine prevalence and frequency of resistance-conferring mutations remain elusive. Here, we studied the fidelity of the HCV RNA-dependent RNA polymerase NS5B in an attempt to link the efficiency of mismatch formation with genotypic changes observed in vivo. Enzyme kinetic measurements revealed unexpectedly high error rates (approximately 10-3 per site) for G∶U/U∶G mismatches. The strong preference for G∶U/U∶G mismatches over all other mistakes correlates with a mutational bias in favor of transitions over transversions. Deep sequencing of HCV RNA samples isolated from 20 treatment-naïve patients revealed an approximately 75-fold difference in frequencies of the two classes of mutations. A stochastic model based on these results suggests that the bias toward transitions can also affect the selection of resistance-conferring mutations. Collectively, the data provide strong evidence to suggest that the nature of the nucleotide change can contribute to the genetic barrier in the development of resistance to DAAs