How emotion communication guides reciprocity: establishing cooperation through disappointment and anger

Emotions fulfil many social functions, but data on their essential function of establishing cooperation are lacking. We investigated how communicating anger and disappointment guides reciprocal cooperative behavior. Although anger may force cooperation by announcing retaliation, we predicted that communicating disappointment was less likely to backfire. A laboratory study in which participants played against the reciprocal strategy of tit-for-tat showed that communicated disappointment established more cooperation than did anger. This effect also carried over to future cooperation decisions. Partners communicating disappointment evoked less anger, were evaluated more positively and as forgiving rather than retaliatory. Communication of disappointment thus appears conducive to establishing mutually beneficial relationships

When and how communicated guilt affects contributions in public good dilemmas

"Two laboratory studies investigated how groups may deal with the strong emotions that social dilemmas often elicit. A first study showed that a new group member evaluated guilt communicated by a fellow group member as more instrumental than neutral emotion feedback when the amount of required resources to obtain the public good (i.e., provision point) was perceived as difficult to obtain. A second study revealed that participants use communicated guilt to draw inferences about both past and future contributions from all fellow group members. Participants also contributed more themselves and adhered to equality more often when guilt versus no emotion was communicated, but only when the provision point was high. Expected contributions from fellow group members mediated this effect." [author's abstract

Incipient meandering and self-formed floodplains in experiments

River morphodynamics and sediment transportRiver morphology and morphodynamic

Effects of riparian vegetation on experimental channel dynamics

River morphodynamics and sediment transportBank erosion and protectio

Evaluatie Le Grand Départ Utrecht 2015

De evaluatie van Le Grand Départ Utrecht beoordeelt of de opdracht en hoofddoelstellingen zijn gerealiseerd en welke lessen de gemeente Utrecht hieruit kan trekken. Onderdelen die zijn onderzocht zijn een analyse van de waardering van de bezoekers, de economische impact van het evenement en de organisatorische en maatschappelijke legacy ervan

From nature to lab: scaling self-formed meandering and braided rivers

River morphodynamics and sediment transportRiver morphology and morphodynamic

Functional importance of angiotensin-converting enzyme-dependent in situ angiotensin II generation in the human forearm

To assess the importance for vasoconstriction of in situ angiotensin (Ang) II generation, as opposed to Ang II delivery via the circulation, we determined forearm vasoconstriction in response to Ang I (0.1 to 10 ng. kg(-1). min(-1)) and Ang II (0.1 to 5 ng. kg(-1). min(-1)) in 14 normotensive male volunteers (age 18 to 67 years). Changes in forearm blood flow (FBF) were registered with venous occlusion plethysmography. Arterial and venous blood samples were collected under steady-state conditions to quantify forearm fractional Ang I-to-II conversion. Ang I and II exerted the same maximal effect (mean+/-SEM 71+/-4% and 75+/-4% decrease in FBF, respectively), with similar potencies (mean EC(50) [range] 5.6 [0.30 to 12.0] nmol/L for Ang I and 3.6 [0.37 to 7.1] nmol/L for Ang II). Forearm fractional Ang I-to-II conversion was 36% (range 18% to 57%). The angiotensin-converting enzyme (ACE) inhibitor enalaprilat (80 ng. kg(-1). min(-1)) inhibited the contra

Study protocol of validating a numerical model to assess the blood flow in the circle of Willis

Introduction We developed a zero-dimensional (0D) model to assess the patient-specific haemodynamics in the circle of Willis (CoW). Similar numerical models for simulating the cerebral blood flow (CBF) had only been validated qualitatively in healthy volunteers by magnetic resonance (MR) angiography and transcranial Doppler (TCD). This study aims to validate whether a numerical model can simulate patient-specific blood flow in the CoW under pathological conditions. Methods and analysis This study is a diagnostic accuracy study. We aim to collect data from a previously performed prospective study that involved patients with aneurysmal subarachnoid haemorrhage (aSAH) receiving both TCD and brain Computerd Tomography angiography (CTA) at the same day. The cerebral flow velocities are calculated by the 0D model, based on the vessel diameters measured on the CTA of each patient. In this study, TCD is considered the gold standard for measuring flow velocity in the CoW. The agreement will be analysed using Pearson correlation coefficients. Ethics and dissemination This study protocol has been approved by the Medical Ethics Review Board of the University Medical Center Groningen: METc2019/103. The results will be submitted to an international scientific journal for peer-reviewed publication. Trial registration number NL8114

Patient-Specific Cerebral Blood Flow Simulation Based on Commonly Available Clinical Datasets

Cerebral hemodynamics play an important role in the development of cerebrovascular diseases. In this work, we propose a numerical framework for modeling patient-specific cerebral blood flow, using commonly available clinical datasets. Our hemodynamic model was developed using Simscape Fluids library in Simulink, based on a block diagram language. Medical imaging data obtained from computerized tomography angiography (CTA) in 59 patients with aneurysmal subarachnoid hemorrhage was used to extract arterial geometry parameters. Flow information obtained from transcranial Doppler (TCD) measurement was employed to calibrate input parameters of the hemodynamic model. The results show that the proposed numerical model can reproduce blood flow in the circle of Willis (CoW) per patient per measurement set. The resistance at the distal end of each terminal branch was the predominant parameter for the flow distribution in the CoW. The proposed model may be a promising tool for assessing cerebral hemodynamics in patients with cerebrovascular disease