Kossmann.dejong in de Laurenskerk, verslag van een tentoonstelling

The exhibition 'A monument full of stories' in the Rotterdam church Laurenskerk was made by the design offi ce Kossmann.dejong exhibition architects, specialized in telling complex stories in theatrical, spatial designs. Form and contents of the exhibition were jointly developed, with the monumental church building itself and the history of Laurenskerk and the city of Rotterdam as starting points. The history of the building and its religious use were determinant factors for the choice of themes. Since Laurenskerk is not only used as a church but also as a music podium and generates income by means of commercial letting, the exhibition is set in the chapels of the church. Because of the diversity of subjects and the special character of the location, intensive consultations took place with third parties. The infl uence of the talks with the brainstorming group, stakeholders and users of the church, experts as regards contents, the buildings aesthetics Committee and the Committee on Monuments formed the design process to a great extent

The Response of Hemostatic Marker Levels to Activated Factor VII in a Neonate following Cardiopulmonary Bypass

The primary function of recombinant activated factor VII (rFVIIa) is to increase thrombin formation which leads to increased fibrin and less “bleeding.” As a result, most of literature utilizes “bleeding” as the outcome measure with respect to rFVIIa. However, we report the actual effect of rFVIIa on changes in hemostatic markers such as prothrombin activation peptide F1.2, thrombin antithrombin complex (TAT), D-dimer, tissue plasminogen activator (tPA), and plasminogen activator inhibitor (PAI) in a neonate after cardiopulmonary bypass. A single dose of rFVIIa caused a 5.5-fold increase in F1.2, 3.5-fold increase in TAT, and a small increase in d-dimer compared to only a 1.5-fold increase, no increase, and a decrease, respectively, in two neonates undergoing the same procedure having not received rFVIIa. The patterns of change for tPA and PAI were similar

Construction and validation of a patient- and user-friendly nursing home version of the Geriatric Depression Scale.

Objective To construct a patient- and user-friendly shortened version of the Geriatric Depression Scale (GDS) that is especially suitable for nursing home patients. Methods The study was carried out on two different data bases including 23 Dutch nursing homes. Data on the GDS (n¼410), the Mini Mental State Examination (n¼410) and a diagnostic interview (SCAN; n¼333), were collected by trained clinicians. Firstly, the items of the GDS-15 were judged on their clinical applicability by three clinical experts. Subsequently, items that were identified as unsuitable were removed using the data of the Assess project (n¼77), and internal consistency was calculated. Secondly, with respect to criterion validity (sensitivity, specitivity, area under ROC and positive and negative predictive values), the newly constructed shortened GDS was validated in the AGED data set (n¼333), using DSM-IV diagnosis for depression as measured by the SCAN as ‘gold standard’. Results The eight-item GDS that resulted from stage 1 showed good internal consistency in both the Assess data set (a¼0.86) and the AGED dataset (a¼0.80). In the AGED dataset, high sensitivity rates of 96.3% for major depression and 83.0% for minor depression were found, with a specificity rate of 71.7% at a cut-off point of 2/3. Conclusion The GDS-8 has good psychometric properties. Given that the GDS-8 is less burdening for the patient, more comfortable to use and less time consuming, it may be a more feasible screening test for the frail nursing home population

A computer-based automated algorithm for assessing acinar cell loss after experimental pancreatitis

The change in exocrine mass is an important parameter to follow in experimental models of pancreatic injury and regeneration. However, at present, the quantitative assessment of exocrine content by histology is tedious and operatordependent, requiring manual assessment of acinar area on serial pancreatic sections. In this study, we utilized a novel computer-generated learning algorithm to construct an accurate and rapid method of quantifying acinar content. The algorithm works by learning differences in pixel characteristics from input examples provided by human experts. HE-stained pancreatic sections were obtained in mice recovering from a 2-day, hourly caerulein hyperstimulation model of experimental pancreatitis. For training data, a pathologist carefully outlined discrete regions of acinar and non-acinar tissue in 21 sections at various stages of pancreatic injury and recovery (termed the ''ground truth''). After the expert defined the ground truth, the computer was able to develop a prediction rule that was then applied to a unique set of high-resolution images in order to validate the process. For baseline, non-injured pancreatic sections, the software demonstrated close agreement with the ground truth in identifying baseline acinar tissue area with only a difference of 1%±0.05% (p = 0.21). Within regions of injured tissue, the software reported a difference of 2.5%± 0.04% in acinar area compared with the pathologist (p = 0.47). Surprisingly, on detailed morphological examination, the discrepancy was primarily because the software outlined acini and excluded inter-acinar and luminal white space with greater precision. The findings suggest that the software will be of great potential benefit to both clinicians and researchers in quantifying pancreatic acinar cell flux in the injured and recovering pancreas

Student Showcase Concert

Ida GotkovskyRobert PlanelEdith Piaf & Louis GuglielmiJohnny MandelKen ThomsonBob Becke