The emergence and growth of short-term leasing in the Netherlands and other parts of Northwestern Europe (eleventh-seventeenth centuries). A chronology and a tentative investigation into its causes

2009 ◽  
pp. 179-213 ◽  
Author(s):  
Bas van Bavel
Keyword(s):  
The Netherlands ◽  
Short Term

KAMEDO Report No. 82 Explosion at the Fireworks Warehouse in the Netherlands in 2000

2006 ◽  
Vol 21 (2) ◽  
pp. 123-125 ◽  
Author(s):  
Viveka Björnhagen ◽  
Torbjörn Messner ◽  
Helge Brändström
Keyword(s):  
The Netherlands ◽  
Communication Networks ◽  
Psychosocial Support ◽  
Public Information ◽  
Short Term ◽  
Disaster Plan ◽  
Counselling Center

AbstractA fire and subsequent explosions occurred in a fireworks warehouse on 13 May 2000. A total of 947 persons were injured and 21 persons died, including four firefighters and one reporter. Communication networks became overloaded and impaired notification chains. The hospital disaster plan was followed, but was proved inadequate. Public information was a high priority. A counselling center was established early and was planned to continue operation for five years. The command function did not perform to expectations. Hospital triage was impaired as many responsible left the triage area. Short-term psychosocial support evolved to long-term programs. Liability issues were examined.

Nowcasting heavy precipitation over the Netherlands using a 13-year radar archive: a machine learning approach

2021 ◽  
Author(s):  
Eva van der Kooij ◽  
Marc Schleiss ◽  
Riccardo Taormina ◽  
Francesco Fioranelli ◽  
Dorien Lugt ◽  
...  
Keyword(s):  
Machine Learning ◽  
The Netherlands ◽  
Heavy Rainfall ◽  
Predictive Performance ◽  
Heavy Precipitation ◽  
Early Warning Systems ◽  
Training Data ◽  
Short Term ◽  
Data Set ◽  
Radar Images

<p>Accurate short-term forecasts, also known as nowcasts, of heavy precipitation are desirable for creating early warning systems for extreme weather and its consequences, e.g. urban flooding. In this research, we explore the use of machine learning for short-term prediction of heavy rainfall showers in the Netherlands.</p><p>We assess the performance of a recurrent, convolutional neural network (TrajGRU) with lead times of 0 to 2 hours. The network is trained on a 13-year archive of radar images with 5-min temporal and 1-km spatial resolution from the precipitation radars of the Royal Netherlands Meteorological Institute (KNMI). We aim to train the model to predict the formation and dissipation of dynamic, heavy, localized rain events, a task for which traditional Lagrangian nowcasting methods still come up short.</p><p>We report on different ways to optimize predictive performance for heavy rainfall intensities through several experiments. The large dataset available provides many possible configurations for training. To focus on heavy rainfall intensities, we use different subsets of this dataset through using different conditions for event selection and varying the ratio of light and heavy precipitation events present in the training data set and change the loss function used to train the model.</p><p>To assess the performance of the model, we compare our method to current state-of-the-art Lagrangian nowcasting system from the pySTEPS library, like S-PROG, a deterministic approximation of an ensemble mean forecast. The results of the experiments are used to discuss the pros and cons of machine-learning based methods for precipitation nowcasting and possible ways to further increase performance.</p>

Experience of Health-Related Problems during House Parties in the Netherlands: Nine Years of Experience and Three Million Visitors

2009 ◽  
Vol 24 (2) ◽  
pp. 133-139 ◽  
Author(s):  
Jan Krul ◽  
Armand R. J. Girbes
Keyword(s):  
The Netherlands ◽  
Prospective Observational Study ◽  
First Aid ◽  
Years Of Experience ◽  
Medical Support ◽  
Short Term ◽  
Unique Data ◽  
Paramedical Personnel ◽  
Health Related ◽  
The Mean

AbstractObjective:The objective of this study was to report on a nine years of experience of providing medical support during house parties (raves) in the Netherlands, where they can be organized legally.Design:This was a prospective, observational study of self-referred patients from 1997 to 2005. During raves, first aid stations are staffed with specifically trained medical and paramedical personnel. Self-referred patients were diagnosed, treated, and recorded using standardized methods.Results:During a nine-year period with 219 raves occurred, involving approximately three million participants, 23,581 patients visited the first aid stations. The medical usage rate (MUR) varied from 59–170 patients per 10,000 rave participants. The mean age increased from 1997 to 2005 from 18.7 ±2.7 to 23.3 ±5.7 years. The mean stay at the first aid station was 18 ±46 minutes. Most health problems were mild. Fifteen cases of severe incidents were observed with one death.Conclusions:Unique data from the Netherlands demonstrate a low number of serious, health-related, short-term problems during raves.

Influence of Minimally Invasive Resection Technique on Sphincter Preservation and Short-term Outcome in Low Rectal Cancer in the Netherlands

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Marieke L. Rutgers ◽  
Robin Detering ◽  
Sapho X. Roodbeen ◽  
Rogier M. Crolla ◽  
Jan Willem T. Dekker ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
The Netherlands ◽  
Minimally Invasive ◽  
Sphincter Preservation ◽  
Low Rectal Cancer ◽  
Short Term ◽  
Term Outcome ◽  
Short Term Outcome

Suspending re-offending? Comparing the effects of suspended prison sentences and short-term imprisonment on recidivism in the Netherlands

2014 ◽  
Vol 11 (6) ◽  
pp. 702-722
Author(s):  
Pauline G.M. Aarten ◽  
Adriaan Denkers ◽  
Matthias J. Borgers ◽  
Peter H. van der Laan
Keyword(s):  
The Netherlands ◽  
Short Term

scholarly journals Pancreatic cancer surgery in elderly patients: Balancing between short-term harm and long-term benefit. A population-based study in the Netherlands

2015 ◽  
Vol 55 (3) ◽  
pp. 278-285 ◽  
Author(s):  
Lydia G. M. van der Geest ◽  
Marc G. H. Besselink ◽  
Yvette R. B. M. van Gestel ◽  
Olivier R. C. Busch ◽  
Ignace H. J. T. de Hingh ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
The Netherlands ◽  
Elderly Patients ◽  
Population Based ◽  
Cancer Surgery ◽  
Short Term ◽  
Population Based Study ◽  
Term Benefit ◽  
Surgery In Elderly

scholarly journals Is Textbook Outcome a valuable composite measure for short-term outcomes of gastrointestinal treatments in the Netherlands using hospital information system data?A retrospective cohort study

BMJ Open ◽  
2018 ◽  
Vol 8 (2) ◽  
pp. e019405 ◽  
Author(s):  
Nèwel Salet ◽  
Rolf H Bremmer ◽  
Marc A M T Verhagen ◽  
Vivian E Ekkelenkamp ◽  
Bettina E Hansen ◽  
...  
Keyword(s):  
Information Systems ◽  
Cancer Screening ◽  
The Netherlands ◽  
Clinical Care ◽  
Gallstone Disease ◽  
Hospital Information Systems ◽  
Short Term ◽  
Patient Counselling ◽  
Clinical Indicator ◽  
Hospital Variation

ObjectiveTo develop a feasible model for monitoring short-term outcome of clinical care trajectories for hospitals in the Netherlands using data obtained from hospital information systems for identifying hospital variation.Study designRetrospective analysis of collected data from hospital information systems combined with clinical indicator definitions to define and compare short-term outcomes for three gastrointestinal pathways using the concept of Textbook Outcome.Setting62 Dutch hospitals.Participants45 848 unique gastrointestinal patients discharged in 2015.Main outcome measureA broad range of clinical outcomes including length of stay, reintervention, readmission and doctor–patient counselling.ResultsPatients undergoing endoscopic retrograde cholangiopancreatography (ERCP) for gallstone disease (n=4369), colonoscopy for inflammatory bowel disease (IBD; n=19 330) and colonoscopy for colorectal cancer screening (n=22 149) were submitted to five suitable clinical indicators per treatment. The percentage of all patients who met all five criteria was 54%±9% (SD) for ERCP treatment. For IBD this was 47%±7% of the patients, and for colon cancer screening this number was 85%±14%.ConclusionThis study shows that reusing data obtained from hospital information systems combined with clinical indicator definitions can be used to express short-term outcomes using the concept of Textbook Outcome without any excess registration. This information can provide meaningful insight into the clinical care trajectory on the level of individual patient care. Furthermore, this concept can be applied to many clinical trajectories within gastroenterology and beyond for monitoring and improving the clinical pathway and outcome for patients.

scholarly journals What are the treatment effects of a work-first participation programme on young unemployed people in the Netherlands?

2019 ◽  
Vol 66 (2) ◽  
pp. 203-217 ◽  
Author(s):  
Laura Juznik-Rotar
Keyword(s):  
The Netherlands ◽  
Educational System ◽  
Average Treatment Effect ◽  
Matching Method ◽  
Short Term ◽  
Independence Assumption ◽  
Unemployed People ◽  
Conditional Independence Assumption ◽  
Work First ◽  
Made In

This paper evaluates the effects of the employment programme on young unemployed people in the Netherlands. The effectiveness of the programme is measured by probability of both re-employment and participation within the regular educational system. This evaluation is made in comparison to that of an individual who would continue seeking employment as an openly unemployed person. The effects of the programme are evaluated a year/two years following the start of the programme. We apply a propensity score matching method. The identification of an average treatment effect is based on the conditional independence assumption. The effects on re-employment probability and the probability of participation in the regular educational system are statistically negative, applicable to both long and short-term scenarios.

scholarly journals Short-term career perspectives of young cardiologists in the Netherlands

2017 ◽  
Vol 25 (7-8) ◽  
pp. 455-460
Author(s):  
J. C. Vis ◽  
C. J. Borleffs ◽  
B. Zwart ◽  
R. J. Nuis ◽  
R. W. C. Scherptong
Keyword(s):  
The Netherlands ◽  
Short Term
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