Politiebestel in balans? Politiek-bestuurlijke sturing, democratische verantwoording, samenwerking en maatschappelijke inbedding in een nationaal politiebestel

Op 1 januari 2013 trad de Politiewet 2012 in werking. Artikel 74 van de wet bepaalt dat de Minister van Justitie en Veiligheid binnen vijf jaar na inwerkingtreding een evaluatie van die wet aan de Staten-Generaal moet sturen over doeltreffendheid en effecten van de wet in de praktijk.In dit rapport staat de vraag centraal hoe de Politiewet 2012 in de praktijk is geïmplementeerd en welke consequenties zich voordoen voor de politieorganisatie en voor de verschillende externe partijen die bij het politiewerk betrokken zijn. De hoofdvraag die aan dit onderzoek ten grondslag ligt, luidt: Hoe kan de werking van de Politiewet 2012 inzake de thema’s (1) politiek bestuurlijke sturing en politiek-democratische verantwoording, (2) samenwerking en (3) maatschappelijke inbedding, worden geëvalueerd?Security and Global Affair

Life-prolonging treatment restrictions and outcomes in patients with cancer and COVID-19:an update from the Dutch Oncology COVID-19 Consortium

AIM OF THE STUDY: The coronavirus disease 2019 (COVID-19) pandemic significantly impacted cancer care. In this study, clinical patient characteristics related to COVID-19 outcomes and advanced care planning, in terms of non-oncological treatment restrictions (e.g. do-not-resuscitate codes), were studied in patients with cancer and COVID-19. METHODS: The Dutch Oncology COVID-19 Consortium registry was launched in March 2020 in 45 hospitals in the Netherlands, primarily to identify risk factors of a severe COVID-19 outcome in patients with cancer. Here, an updated analysis of the registry was performed, and treatment restrictions (e.g. do-not-intubate codes) were studied in relation to COVID-19 outcomes in patients with cancer. Oncological treatment restrictions were not taken into account. RESULTS: Between 27th March 2020 and 4th February 2021, 1360 patients with cancer and COVID-19 were registered. Follow-up data of 830 patients could be validated for this analysis. Overall, 230 of 830 (27.7%) patients died of COVID-19, and 60% of the remaining 600 patients with resolved COVID-19 were admitted to the hospital. Patients with haematological malignancies or lung cancer had a higher risk of a fatal outcome than other solid tumours. No correlation between anticancer therapies and the risk of a fatal COVID-19 outcome was found. In terms of end-of-life communication, 50% of all patients had restrictions regarding life-prolonging treatment (e.g. do-not-intubate codes). Most identified patients with treatment restrictions had risk factors associated with fatal COVID-19 outcome. CONCLUSION: There was no evidence of a negative impact of anticancer therapies on COVID-19 outcomes. Timely end-of-life communication as part of advanced care planning could save patients from prolonged suffering and decrease burden in intensive care units. Early discussion of treatment restrictions should therefore be part of routine oncological care, especially during the COVID-19 pandemic

An automated pulse programmer for NMR experiments

A new pulse programmer designed and built for an NMR spectrometer is described. Constructed from TTL circuits with 2 kbyte of on-board memory, the pulse programmer provides 100 ns pulse width resolution with a 10 MHz clock. It is specially designed to be interfaced to any computer with parallel I/O lines. Output consists of four independent channels, four trigger lines and a dedicated acquisition line. Operation is independent of the host computer to ensure precise timing. In conjunction with the hardware, a complete software system, with a number of innovations, has been written in FORTRAN to control the pulse programmer and manage the NMR experiment.</p

An automated framework for incorporating news into stock trading strategies

In this paper we present a framework for automatic exploitation of news in stock trading strategies. Events are extracted from news messages presented in free text without annotations. We test the introduced framework by deriving trading strategies based on technical indicators and impacts of the extracted events. The strategies take the form of rules that combine technical trading indicators with a news variable, and are revealed through the use of genetic programming. We find that the news variable is often included in the optimal trading rules, indicating the added value of news for predictive purposes and validating our proposed framework for automatically incorporating news in stock trading strategies

An automated framework for incorporating news into stock trading strategies

In this paper we present a framework for automatic exploitation of news in stock trading strategies. Events are extracted from news messages presented in free text without annotations. We test the introduced framework by deriving trading strategies based on technical indicators and impacts of the extracted events. The strategies take the form of rules that combine technical trading indicators with a news variable, and are revealed through the use of genetic programming. We find that the news variable is often included in the optimal trading rules, indicating the added value of news for predictive purposes and validating our proposed framework for automatically incorporating news in stock trading strategies

An Automated Framework for Incorporating News into Stock Trading Strategies

In this paper we present a framework for automatic exploitation of news in stock trading strategies. Events are extracted from news messages presented in free text without annotations. We test the introduced framework by deriving trading strategies based on technical indicators and impacts of the extracted events. The strategies take the form of rules that combine technical trading indicators with a news variable, and are revealed through the use of genetic programming. We find that the news variable is often included in the optimal trading rules, indicating the added value of news for predictive purposes and validating our proposed framework for automatically incorporating news in stock trading strategies