To obtain large-scale sequence alignments in a fast and flexible way is an important step in the analyses of next generation sequencing data. Applications based on the Smith-Waterman (SW) algorithm are often either not fast enough, limited to dedicated tasks or not sufficiently accurate due to statistical …

How can university and city administration co-create the city? Where do their interests meet and diverge, and what is needed to exploit synergies? This report explores the potential for co-creation in five domains: urban economic development, internationalisation, urban attractiveness & city branding, …

Objective: To understand inactivity and relapse from PA, and to develop theory-based behaviour change strategies to stimulate and support maintenance of PA. Methods: We conducted a literature search to explore barriers to PA. Social cognitive theories and empirical evidence were evaluated and guided …

Poster over systematic review met als thema 'social impact and legacy of sport events'. Gepresenteerd tijdens de Hanze Research Day.

BACKGROUND: One-third of all medication errors causing harm to hospitalized patients occur in the medication preparation and administration phase, which is predominantly a nursing activity. To monitor, evaluate and improve the quality and safety of this process, evidence-based quality indicators can …

We present a method for measuring gait velocity using data from an existing ambient sensor network. Gait velocity is an important predictor of fall risk and functional health. In contrast to other approaches that use specific sensors or sensor configurations our method imposes no constraints on the elderly. …

This paper explores a method for deducing the affective state of runners using his/her movements. The movements are measured on the arm using a smartphone’s built-in accelerometer. Multiple features are derived from the measured data. We studied which features are most predictive for the affective state …

Ubiquitous computing, new sensor technologies, and increasingly available and accessible algorithms for pattern recognition and machine learning enable automatic analysis and modeling of human behavior in many novel ways. In this introductory paper of the 6th International Workshop on Human Behavior …

Most safety oriented organizations have established their accidents classification taking into account the magnitude of the combined adverse outcomes on humans, assets and the environment without considering the accidents‟ potential and the actual attempts of the involved persons to intervene with the …