Ontwikkeling van natuur in de Nederlandse steden

Analayse van stedelijke ecologie; inventarisatie voor het Natuurplanburea

Cortisol exposure, cognition and clinical course of bipolar disorder

In this dissertation, we aimed to identify the influence of cortisol exposure and cognitive performance on the clinical course of bipolar disorder. Data regarding sociodemographics, disease characteristics and genetic analysis of the cortisol receptors, were collected of 366 patients with bipolar disorder (BD). Part of this cohort participated in the longitudinal study, including the Test for Attentional Performance, prospectively registration of mood, and the collection of hair samples to assess long term cortisol. The main findings are as follows: 1) Several Glucocorticoid Receptor (GR) gene polymorphisms, in particular the 9β polymorphism (rs6198), relate with clinical characteristics of BD. The most important relations were with the number of (hypo)manic episodes, and second, with seasonal patterns of mood episodes, especially hypomania. 2) Higher long term cortisol exposure is associated with more psychiatric co morbidity in BD patients., and with an older age at onset, indicating a subgroup of patients. 3) Medication as potential confounder on cognitive performance, appeared to relate with the type (mainly antipsychotics) and the number of different types of medication used. Summarizing, cortisol exposure is associated with several clinically relevant phenomena defining course of BD and give insight in possible subgroups of patients with higher cortisol exposure.LEI Universiteit LeidenFonds Nuts Ohra; Parnassia Groep; PsyQFSW - Self-regulation models for health behavior and psychopathology - ou

Special boundedness properties in numerical initial value problems

For Runge-Kutta methods, linear multistep methods and other classes of general linear methods much attention has been paid in the literature to important nonlinear stability properties known as total-variation-diminishing (TVD), strong stability preserving (SSP) and monotonicity. Stepsize conditions guaranteeing these properties were studied by Shu \& Osher (1988) and in numerous subsequent papers. Unfortunately, for many useful methods it has turned out that these properties do not hold. For this reason attention has been paid in the recent literature to the related and more general properties called total-variation-bounded (TVB) and boundedness. In the present paper we focus on stepsize conditions guaranteeing boundedness properties of a special type. These boundedness properties are optimal, and distinguish themselves also from earlier boundedness results by being relevant to sublinear functionals, discrete maximum principles and preservation of nonnegativity. Moreover, the corresponding stepsize conditions are more easily verified in practical situations than the conditions for general boundedness given thus far in the literature. The theoretical results are illustrated by application to the two-step Adams-Bashforth method and a class of two-stage multistep methods

Stepsize Restrictions for Boundedness and Monotonicity of Multistep Methods

In this paper nonlinear monotonicity and boundedness properties are analyzed for linear multistep methods. We focus on methods which satisfy a weaker boundedness condition than strict monotonicity for arbitrary starting values. In this way, many linear multistep methods of practical interest are included in the theory. Moreover, it will be shown that for such methods monotonicity can still be valid with suitable Runge-Kutta starting procedures. Restrictions on the stepsizes are derived that are not only sufficient but also necessary for these boundedness and monotonicity properties

A distantly supervised dataset for automated data extraction from diagnostic studies

International audienceSystematic reviews are important in evidencebased medicine, but are expensive to produce.Automating or semi-automating the data extractionof index test, target condition, and referencestandard from articles has the potentialto decrease the cost of conducting systematicreviews of diagnostic test accuracy, but relevanttraining data is not available. We create adistantly supervised dataset of approximately90,000 sentences, and let two experts manuallyannotate a small subset of around 1,000sentences for evaluation. We evaluate the performanceof BioBERT and logistic regressionfor ranking the sentences, and compare theperformance for distant and direct supervision.Our results suggest that distant supervision canwork as well as, or better than direct supervisionon this problem, and that distantly trainedmodels can perform as well as, or better thanhuman annotators

Mechanism of atomic force microscopy imaging of three-dimensional hydration structures at a solid-liquid interface

Here we present both subnanometer imaging of three-dimensional (3D) hydration structures using atomic force microscopy (AFM) and molecular dynamics simulations of the calcite-water interface. In AFM, by scanning the 3D interfacial space in pure water and recording the force on the tip, a 3D force image can be produced, which can then be directly compared to the simulated 3D water density and forces on a model tip. Analyzing in depth the resemblance between experiment and simulation as a function of the tip-sample distance allowed us to clarify the contrast mechanism in the force images and the reason for their agreement with water density distributions. This work aims to form the theoretical basis for AFM imaging of hydration structures and enables its application to future studies on important interfacial processes at the molecular scale