scholarly journals Harmonic analysis PQM data in 150kV grid of TSO TenneT in Brabant, The Netherlands

2021 ◽  
Vol 19 ◽  
pp. 298-303
Author(s):  
W.L. Broekman ◽  
◽  
J.B.M. van Waes ◽  
V. Cuk ◽  
J.F.G. Cobben
Keyword(s):  
The Netherlands ◽  
Data Processing ◽  
Power Quality ◽  
Data Sources ◽  
Use Case ◽  
Multiple Use ◽  
Transmission Grid ◽  
The Impact ◽  
Measured Response ◽  
Insight Into

This paper aims to provide an insight into the measured background changes of harmonics due to operational changes in a typical Dutch transmission grid. Multiple use cases on different locations throughout a meshed 150kV grid have been considered. The nodes that were studied had measured exceedances of planning levels or were indicated to be critical for the future in earlier studies. This study provides an insight into the measured response of harmonics with respect to different operational changes such as specific scheduled outages that occurred and the impact of capacitor banks. Per use-case, individual conclusions are reported. The analysis was conducted on data of power quality meters (PQM) and various other data sources provided by the Dutch TSO TenneT. Data-processing, visualization, and computations were performed using Python. These results are useful for model validation, planning purposes, and maintaining power quality.

Double, triple or quadruple hits? Exploring the impact of cybercrime on victims in the Netherlands

2021 ◽  
pp. 026975802110106
Author(s):  
Raoul Notté ◽  
E.R. Leukfeldt ◽  
Marijke Malsch
Keyword(s):  
Public Opinion ◽  
Literature Review ◽  
The Netherlands ◽  
Public Discourse ◽  
Moral Judgments ◽  
Victim Blaming ◽  
High Prevalence ◽  
Different Types ◽  
The Impact ◽  
Insight Into

This article explores the impact of online crime victimisation. A literature review and 41 interviews – 19 with victims and 22 with experts – were carried out to gain insight into this. The interviews show that most impacts of online offences correspond to the impacts of traditional offline offences. There are also differences with offline crime victimisation. Several forms of impact seem to be specific to victims of online crime: the substantial scale and visibility of victimhood, victimisation that does not stop in time, the interwovenness of online and offline, and victim blaming. Victims suffer from double, triple or even quadruple hits; it is the accumulation of different types of impact, enforced by the limitlessness in time and space, which makes online crime victimisation so extremely invasive. Furthermore, the characteristics of online crime victimisation greatly complicate the fight against and prevention of online crime. Finally, the high prevalence of cybercrime victimisation combined with the severe impact of these crimes seems contradictory with public opinion – and associated moral judgments – on victims. Further research into the dominant public discourse on victimisation and how this affects the functioning of the police and victim support would be valuable.

scholarly journals Big Data Usage Patterns in the Health Care Domain: A Use Case Driven Approach Applied to the Assessment of Vaccination Benefits and Risks

2014 ◽  
Vol 23 (01) ◽  
pp. 27-35 ◽  
Author(s):  
S. de Lusignan ◽  
S-T. Liaw ◽  
C. Kuziemsky ◽  
F. Mold ◽  
P. Krause ◽  
...  
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Real Time ◽  
Predictive Analytics ◽  
Regulatory Compliance ◽  
Use Cases ◽  
Data Sources ◽  
Use Case ◽  
Crowd Sourcing ◽  
Big Data Processing

Summary Background: Generally benefits and risks of vaccines can be determined from studies carried out as part of regulatory compliance, followed by surveillance of routine data; however there are some rarer and more long term events that require new methods. Big data generated by increasingly affordable personalised computing, and from pervasive computing devices is rapidly growing and low cost, high volume, cloud computing makes the processing of these data inexpensive. Objective: To describe how big data and related analytical methods might be applied to assess the benefits and risks of vaccines. Method: We reviewed the literature on the use of big data to improve health, applied to generic vaccine use cases, that illustrate benefits and risks of vaccination. We defined a use case as the interaction between a user and an information system to achieve a goal. We used flu vaccination and pre-school childhood immunisation as exemplars. Results: We reviewed three big data use cases relevant to assessing vaccine benefits and risks: (i) Big data processing using crowd-sourcing, distributed big data processing, and predictive analytics, (ii) Data integration from heterogeneous big data sources, e.g. the increasing range of devices in the “internet of things”, and (iii) Real-time monitoring for the direct monitoring of epidemics as well as vaccine effects via social media and other data sources. Conclusions: Big data raises new ethical dilemmas, though its analysis methods can bring complementary real-time capabilities for monitoring epidemics and assessing vaccine benefit-risk balance.

scholarly journals FHIR PIT: an open software application for spatiotemporal integration of clinical data and environmental exposures data

2020 ◽  
Author(s):  
Hao Xu ◽  
Steven Cox ◽  
Lisa Stillwell ◽  
Emily Pfaff ◽  
James Champion ◽  
...  
Keyword(s):  
Environmental Health ◽  
Clinical Data ◽  
Environmental Exposures ◽  
Data Sources ◽  
Spatiotemporal Data ◽  
Use Case ◽  
Software Application ◽  
Individual Level ◽  
Health And Disease ◽  
The Impact

Abstract Background Informatics tools to support the integration and subsequent interrogation of spatiotemporal data such as clinical data and environmental exposures data are lacking. Such tools are needed to support research in environmental health and any biomedical field that is challenged by the need for integrated spatiotemporal data to examine individual-level determinants of health and disease. Results We have developed an open-source software application—FHIR PIT (Health Level 7 Fast Healthcare Interoperability Resources Patient data Integration Tool)—to enable studies on the impact of individual-level environmental exposures on health and disease. FHIR PIT was motivated by the need to integrate patient data derived from our institution’s clinical warehouse with a variety of public data sources on environmental exposures and then openly expose the data via ICEES (Integrated Clinical and Environmental Exposures Service). FHIR PIT consists of transformation steps or building blocks that can be chained together to form a transformation and integration workflow. Several transformation steps are generic and thus can be reused. As such, new types of data can be incorporated into the modular FHIR PIT pipeline by simply reusing generic steps or adding new ones. We have validated FHIR PIT in the context of a driving use case designed to investigate the impact of airborne pollutant exposures on asthma. Specifically, we replicated published findings demonstrating racial disparities in the impact of airborne pollutants on asthma exacerbations. Conclusions While FHIR PIT was developed to support our driving use case, the software can be used to integrate any type and number of spatiotemporal data sources at a level of granularity that enables individual-level study. We expect FHIR PIT to facilitate research in environmental health and numerous other biomedical disciplines.

scholarly journals FHIR PIT: an open software application for spatiotemporal integration of clinical data and environmental exposures data

2020 ◽  
Author(s):  
Hao Xu ◽  
Steven Cox ◽  
Lisa Stillwell ◽  
Emily Pfaff ◽  
James Champion ◽  
...  
Keyword(s):  
Environmental Health ◽  
Clinical Data ◽  
Environmental Exposures ◽  
Data Sources ◽  
Spatiotemporal Data ◽  
Use Case ◽  
Software Application ◽  
Individual Level ◽  
Health And Disease ◽  
The Impact

Abstract Background: Informatics tools to support the integration and subsequent interrogation of spatiotemporal data such as clinical data and environmental exposures data are lacking. Such tools are needed to support research in environmental health and any biomedical field that is challenged by the need for integrated spatiotemporal data to examine individual-level determinants of health and disease. Results: We have developed an open-source software application—FHIR PIT (Health Level 7 Fast Healthcare Interoperability Resources Patient data Integration Tool)—to enable studies on the impact of individual-level environmental exposures on health and disease. FHIR PIT was motivated by the need to integrate patient data derived from our institution’s clinical warehouse with a variety of public data sources on environmental exposures and then openly expose the data via ICEES (Integrated Clinical and Environmental Exposures Service). FHIR PIT consists of transformation steps or building blocks that can be chained together to form a transformation and integration workflow. Several transformation steps are generic and thus can be reused. As such, new types of data can be incorporated into the modular FHIR PIT pipeline by simply reusing generic steps or adding new ones. We have validated FHIR PIT in the context of a driving use case designed to investigate the impact of airborne pollutant exposures on asthma. Specifically, we replicated published findings demonstrating racial disparities in the impact of airborne pollutants on asthma exacerbations.Conclusions: While FHIR PIT was developed to support our driving use case, the software can be used to integrate any type and number of spatiotemporal data sources at a level of granularity that enables individual-level study. We expect FHIR PIT to facilitate research in environmental health and numerous other biomedical disciplines.

The Implications of E-Shopping for in-Store Shopping at Various Shopping Locations in the Netherlands

2009 ◽  
Vol 36 (2) ◽  
pp. 279-299 ◽  
Author(s):  
Jesse W J Weltevreden ◽  
Ton van Rietbergen
Keyword(s):  
The Netherlands ◽  
Adverse Effects ◽  
Empirical Literature ◽  
Shopping Centres ◽  
Geographical Factors ◽  
City District ◽  
Scant Attention ◽  
The Impact ◽  
City Centres ◽  
Insight Into

Thus far, the empirical literature on the impact of e-shopping on in-store shopping has paid scant attention to the implications of e-shopping for shopping centres. Using a nationwide sample of 3000 Dutch e-shoppers we provide more insight into this topic. Results indicate that city centres are most likely to face the substitution of e-shopping for in-store shopping, followed by city district centres. Surprisingly, village centres are less affected by e-shopping than city centres. Moreover, for neighbourhood and convenience centres the adverse effects of e-shopping are small. The probability of substituting e-shopping for in-store shopping at particular shopping locations is largely influenced by the extent to which people shop online, as well as personal and geographical factors.

scholarly journals A general method for estimating the prevalence of influenza-like-symptoms with Wikipedia data

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256858
Author(s):  
Giovanni De Toni ◽  
Cristian Consonni ◽  
Alberto Montresor
Keyword(s):  
Machine Learning ◽  
The Netherlands ◽  
State Of The Art ◽  
Data Sources ◽  
Learning Models ◽  
Personalized Pagerank ◽  
Web Searches ◽  
The Impact ◽  
Machine Learning Models ◽  
General Method

Influenza is an acute respiratory seasonal disease that affects millions of people worldwide and causes thousands of deaths in Europe alone. Estimating in a fast and reliable way the impact of an illness on a given country is essential to plan and organize effective countermeasures, which is now possible by leveraging unconventional data sources like web searches and visits. In this study, we show the feasibility of exploiting machine learning models and information about Wikipedia’s page views of a selected group of articles to obtain accurate estimates of influenza-like illnesses incidence in four European countries: Italy, Germany, Belgium, and the Netherlands. We propose a novel language-agnostic method, based on two algorithms, Personalized PageRank and CycleRank, to automatically select the most relevant Wikipedia pages to be monitored without the need for expert supervision. We then show how our model can reach state-of-the-art results by comparing it with previous solutions.

scholarly journals Capturing the personal through the lens of the professional: The use of external data sources in autoethnography

2019 ◽  
Vol 12 (1) ◽  
pp. 205979911982557 ◽  
Author(s):  
Catherine Lee
Keyword(s):  
Teacher Identity ◽  
Critical Incident ◽  
Data Sources ◽  
Professional Identities ◽  
Discursive Practices ◽  
Behaviour Therapy ◽  
External Data ◽  
Cognitive Behaviour ◽  
The Impact ◽  
Insight Into

This article shows how external data sources can be utilised in autoethnographic research. Beginning with an account of a critical incident that examines the incompatibility of private and professional identities, I show how, through the collection of data sources, I capture the impact of homophobic and heteronormative discursive practices on health, wellbeing and identity. In the critical incident, I explore how I prospered as a teacher at a British village school for almost 10 years by censoring my sexuality and carefully managing the intersection between my private and professional identities. However, when a malicious and homophobic neighbour and parent of children at the school exposed my sexuality to the Headteacher, I learned the extent to which the rural school community privileged and protected the heteronormative discourse. A poststructuralist theoretical framework underpins this article. My experience of being a subject is understood as the outcome of discursive practices. Sexual identity, teacher identity and autoethnographer identity are understood to be fluid, and constantly produced and reproduced in response to social, cultural and political influences. The article describes how email correspondence, medical records and notes from a course of cognitive behaviour therapy were deployed to augment my personal recollection and give a depth and richness to the narrative. As the critical incident became a police matter, examination takes place of how I sought to obtain and utilise data from the police national computer in the research. Attempts to collect data from the police and Crown Prosecution Service were problematic and provided an unexpected development in the research and offered additional insight into the nature of the British rural community and its police force.

scholarly journals In-Work Poverty in Times of COVID-19

2021 ◽  
pp. 35-40
Author(s):  
Sonja Bekker ◽  
Johanna Buerkert ◽  
Quirine Quirijns ◽  
Ioana Pop
Keyword(s):  
The Netherlands ◽  
Low Income ◽  
Basic Needs ◽  
Purchasing Power ◽  
Social Activities ◽  
Poverty Threshold ◽  
The Impact ◽  
Insight Into ◽  
Over Time

AbstractThe corona crisis has an unequal impact on worker’s income. Workers with unstable jobs prior to the crisis, have been affected hardest due to the loss of work and income (Börner, 2020). An example is the group of workers who cannot make ends meet, despite having a job. In order to explore the impact of the coronavirus crisis on in-work poverty, it is relevant to get a better insight into how low income is defined because in the Netherlands low income and poverty are calculated in various ways. For this chapter we use two indicators (Statistics Netherlands, 2018; SCP, 2018). The first is the poverty threshold, indicating whether or not the income is sufficient to meet basic needs such as buying food, housing, and participating in social activities. The second is the low-income threshold, representing stable purchasing power over time.

scholarly journals FHIR PIT: an open software application for spatiotemporal integration of clinical data and environmental exposures data

2019 ◽  
Author(s):  
Hao Xu ◽  
Steven Cox ◽  
Lisa Stillwell ◽  
Emily Pfaff ◽  
James Champion ◽  
...  
Keyword(s):  
Environmental Health ◽  
Clinical Data ◽  
Environmental Exposures ◽  
Data Sources ◽  
Spatiotemporal Data ◽  
Use Case ◽  
Software Application ◽  
Individual Level ◽  
Health And Disease ◽  
The Impact

Abstract Background Informatics tools to support the integration and subsequent interrogation of spatiotemporal data such as clinical data and environmental exposures data are lacking. Such tools are needed to support research in environmental health and any biomedical field that is challenged by the need for integrated spatiotemporal data to examine individual-level determinants of health and disease. Results We have developed an open-source software application—FHIR PIT (Health Level 7 Fast Healthcare Interoperability Resource Patient data Integration Tool)—to enable studies on the impact of individual-level environmental exposures on health and disease. FHIR PIT was motivated by the need to integrate patient data derived from our institution’s clinical warehouse with a variety of public data sources on environmental exposures and then openly expose the data via ICEES (Integrated Clinical and Environmental Exposures Service). FHIR PIT consists of transformation steps or building blocks that can be chained together to form a transformation and integration workflow. Several transformation steps are generic and thus can be reused. As such, new types of data can be incorporated into the modular FHIR PIT pipeline by simply reusing generic steps or adding new ones. We have validated FHIR PIT in the context of a driving use case designed to investigate the impact of airborne pollutant exposures on asthma. Specifically, we replicated published findings demonstrating racial disparities in the impact of airborne pollutants on asthma exacerbations. Conclusions While FHIR PIT was developed to support our driving use case, the software can be used to integrate any type and number of spatiotemporal data sources at a level of granularity that enables individual-level study. We expect FHIR PIT to facilitate research in environmental health and numerous other biomedical disciplines.

Stimulating Flexible Citizenship: The Impact of Dutch and Indian Migration Policies on the Lives of Highly Skilled Indian Migrants in the Netherlands

2020 ◽  
Vol 3 (1) ◽  
pp. 1-13
Author(s):  
Katherine Kirk ◽  
Ellen Bal
Keyword(s):  
The Netherlands ◽  
Transnational Migration ◽  
Unique Contribution ◽  
Indian Diaspora ◽  
Migration Literature ◽  
Corporate Rights ◽  
Highly Skilled Migrants ◽  
Highly Skilled ◽  
Migration Theories ◽  
The Impact

AbstractThis paper explores the relationship between migration and integration policies in the Netherlands, diaspora policies in India, and the transnational practices of Indian highly skilled migrants to the Netherlands. We employ anthropological transnational migration theories (e.g., Ong 1999; Levitt and Jaworsky 2007) to frame the dynamic interaction between a sending and a receiving country on the lives of migrants. This paper makes a unique contribution to migration literature by exploring the policies of both sending and receiving country in relation to ethnographic data on migrants. The international battle for brains has motivated states like the Netherlands and India to design flexible migration and citizenship policies for socially and economically desirable migrants. Flexible citizenship policies in the Netherlands are primarily concerned with individual and corporate rights and privileges, whereas Indian diaspora policies have been established around the premise of national identity.

Sign in / Sign up

Export Citation Format

Share Document