Making good use of partners: Differential effects of managerial networking in the social care domain.

Public managers engage in networking relationships with a wide variety of external actors and organizations from which they can draw different types of support and resources. Most empirical studies on managerial networking merely present different intensities of external networking in general, as if it were a unidimensional concept. In practice, however, public managers strategically differentiate between functional or task-related groups of external partners, based on the specific policy context. Moreover, such differentiation in networking behavior can be expected to systematically impact agency and public program performance outcomes. This article derives contextualized hypotheses on how managerial networking affects the performance of Dutch local governments in the social care domain. Multilevel structural equation analyses of 3,257 social care clients in 71 local governments provide evidence that bilateral client-interest networking is more beneficial to the Social Support Act's overall goal of improving the level of social participation of clients than professional networking. Moreover, the effect is indirect: managerial networking with client interest groups improves the physical self-reliance of clients, enabling them to engage in social activities.The politics and administration of institutional chang

Predictive model for functional consequences of oral cavity tumour

The prediction of functional consequences after treatment of large oral cavity tumours is mainly based on the size and location of the tumour. However, patient specific factors play an important role in the functional outcome, making the current predictions unreliable and subjective. An objective prediction is necessary for better patient oriented care, where the choice between surgery or chemo- and radiotherapy could be made according to more reliable measures. In this project, work is being performed to create a tool to obtain this objective prediction. The aim is to develop a virtual biomechanical patient-specific model of the oral cavity for virtual surgery. By adjusting the model, so as to mimic the performed surgery, an accurate preoperative assessment of the postoperative functional consequences can be made for each individual patient

Predicting 3D lip shapes using facial surface EMG

Aim The aim of this study is to prove that facial surface electromyography (sEMG) conveys sufficient information to predict 3D lip shapes. High sEMG predictive accuracy implies we could train a neural control model for activation of biomechanical models by simultaneously recording sEMG signals and their associated motions. Materials and methods With a stereo camera set-up, we recorded 3D lip shapes and simultaneously performed sEMG measurements of the facial muscles, applying principal component analysis (PCA) and a modified general regression neural network (GRNN) to link the sEMG measurements to 3D lip shapes. To test reproducibility, we conducted our experiment on five volunteers, evaluating several sEMG features and window lengths in unipolar and bipolar configurations in search of the optimal settings for facial sEMG. Conclusions The errors of the two methods were comparable. We managed to predict 3D lip shapes with a mean accuracy of 2.76 mm when using the PCA method and 2.78 mm when using modified GRNN. Whereas performance improved with shorter window lengths, feature type and configuration had little influence

Agencies without borders: Explaining partner selection in the formation of transnational agreements between regulators

Transnational collaboration between regulatory agencies has proliferated rapidly within the last three decades. However, given that information regarding the motives, trustworthiness, and capabilities of potential partners is typically imperfect, decisions about with whom to collaborate are inevitably characterized by a degree of uncertainty. To better capture these dynamics, this article uses a network analytical perspective and hypothesizes that agencies are more likely to form agreements with agencies to whom they are already indirectly connected (transitivity), that are highly connected (preferential attachment), or with whom they share tie-characteristics (assortativity). To test these hypotheses, a stochastic actor-oriented model is used to analyze an original, self-coded data set in which bilateral information exchange agreements between national securities agencies (n = 143) are mapped out over a 18-year period. The results show that the formation of agreements between regulatory agencies is driven by (i) the number of shared partners (i.e. triadic closure); and (ii) similarity regarding agency characteristics (i.e. homophily)

Transnational networks and domestic agencies : making sense of globalizing administrative patterns

This dissertation studies how domestic regulatory agencies and the officials representing them are influenced by and deal with the increasingly complex transnational environments in which they have come to operate. Based on (social) network analysis it demonstrates how decisions of domestic agencies regarding standard adoption are strongly guided by decisions of regulators in other countries, particularly those to whom they are directly related through network relationships. In understanding the way in which transnational networks affect domestic agencies, we should explicitly measure the structure of relationships that constitute such networks. However, based on qualitative analysis, this thesis also demonstrates that agencies have different capacities and resources for (transnational) networking and they are likely susceptible to transnational network influences in varying degrees. The effects of transnational networks on domestic agencies are thus moderated by the way in which transnational network activities are structured and coordinated inside these agencies. Overall, given the increasing prevalence of transnational networks in various regulatory and policy sectors, this dissertation provides a basis for further theorizing about ongoing and future developments in the fields of regulatory governance and public administration. Gemeente Den Haag, Subsidie Kennisinvestering Den HaagThe politics and administration of institutional chang