The oystercatcher <i>Haematopus ostralegus</i> as a predator of the bivalve <i>Macoma balthica</i> in the Dutch Wadden Sea

The Oystercatcher is a specialised feeder on bivalves in estuarine areas. Among the different prey specics taken Macoma can be considered to be an important one. In this study some relations between Oystercatchers and this prey are described: the method of localization of Macoma, the consequences the way of localization has for the sizes of Macoma that are taken (selection for size), the way Macoma is opened and the role Macoma plays as bulk food for Oystercatchers. ... Zie Summar

Getting grip on complex water issues? : a case study: Rotterdam Mainport, Appropriate Assessment Wadden Sea

In Dutch water systems many human interventions are carried out. These interventions are designed to achieve management goals, like increase protection against flooding, improve environmental quality and/or stimulate the national economy. Decision-makers involved in these kinds of plans have to deal with ecological effects, physical effects, economic costs and benefits and technical feasibility. Furthermore, they operate within a complex web of interactions between policy, regulations, and social and political processes. This PhD-project aims at assisting decision-makers in constructing assessments of the impact of future human interventions in water systems

Centralization of pediatric surgical care in the Netherlands:Lessons learned

Centralization of care is a difficult process, as there are several stakeholders that are involved and should be heard. What can be the best option for a small group of patients may be detrimental to a larger group of patients that cannot be adequately treated close to home. The weighing of these factors is different in every environment. One universal rule however is: if you don't do it yourselves, others will do it for you. In the Netherlands, pediatric oncology, including surgery, is centralized in one center (Utrecht) with the help of several shared care centers scattered throughout the country for things that can be managed close to home. (c) 2021 Elsevier Inc. All rights reserved

BAIT:A New Medical Decision Support Technology Based on Discrete Choice Theory

We present a novel way to codify medical expertise and to make it available to support medical decision making. Our approach is based on econometric techniques (known as conjoint analysis or discrete choice theory) developed to analyze and forecast consumer or patient behavior; we reconceptualize these techniques and put them to use to generate an explainable, tractable decision support system for medical experts. The approach works as follows: using choice experiments containing systematically composed hypothetical choice scenarios, we collect a set of expert decisions. Then we use those decisions to estimate the weights that experts implicitly assign to various decision factors. The resulting choice model is able to generate a probabilistic assessment for real-life decision situations, in combination with an explanation of which factors led to the assessment. The approach has several advantages, but also potential limitations, compared to rule-based methods and machine learning techniques. We illustrate the choice model approach to support medical decision making by applying it in the context of the difficult choice to proceed to surgery v. comfort care for a critically ill neonate