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Objective: To identify the 100 most-cited articles in DH and analyze their characteristics. Material and Methods: A search was performed on the Web of Science (WoS) and the 100 most-cited articles were selected. The following data were extracted: citations, year of publication, authorship, institution, country, journal, language, study design, topic of interest, conflict of interest (COI), and sponsorship. The VOSviewer software was used to visualize bibliometric networks. Poisson regression analysis was performed to measure associations between several citations and the characteristics of the studies. Results: The number of citations ranged from 346 to 48. The most-cited article was published in 1997 by Holland in the Journal of Clinical Periodontology. This journal published the most papers, followed by the Journal of Oral Rehabilitation and Journal of Dentistry. Laboratory research, review, and clinical trial were the study designs most prevalent. Reviews (p<0.05; PR= 1.853) and method development studies (p<0.05; PR= 1.853) had a more chance to present more citations. The main topics of interest were the clinical effectiveness of desensitizers and in vitro analysis of dentin morphology. Sponsorship and COI were underreported. England and USA presented the greatest number of citations and connections in the coauthorship network map. Conclusion: Most of the articles were original research, and their topics of interest were mainly the clinical effectiveness of desensitizing agents and dentin morphology. [ABSTRACT FROM AUTHOR]

The EU has set the ambitious target of raising the share of EU energy consumption produced from renewable resources to 32% by 2030, with a target of climate neutrality by 2050. The aim of this paper is to assess the role of biomass usage in the context of these targets. The paper identifies the progress made between 2013 and 2022 by focusing on a selection of EU countries. The largest bioenergy increments of 130, 77, and 60 PJ were reported for Poland, Sweden, and the Netherlands. This study evaluates the crucial role of co-generation and heat in EU regions, with biomass usage between 55 and 80% of the combined heat and power (CHP) energy in Nordic countries. The future perspectives for bioenergy based on EU policies, biomass resources, and technical issues were addressed. The EU possesses around 9% of the global biomass supply, ensuring a certain level of biomass resource dependence. Thus, the biomass usage demand in energy production, non-energy sectors, and transport is expected to rise, leading to increments of 13–76% on biomass imports. It appears that bioenergy development is mostly limited by economic issues and uneven support for bioenergy in different EU countries as well as environmental issues. The study shows a promising and sustainable potential of bioenergy in the EU as a renewable energy source while minimizing negative impacts on the environment and the economy. By 2050, liquid biofuels are likely to be increasingly used in the transport sector. Non-energy sector usage of biomass is still in an early stage of development, except for the pulp and paper industry, and significant use of biomass in non-energy sectors seems unlikely in the near future. [ABSTRACT FROM AUTHOR]

This paper traces the transnational entanglements in the Dutch digital media archive, with a focus on the propaganda battle between pro-Nazi and pro-Allied Dutch media during the Second World War. Reflecting on newspaper and radio source materials in the CLARIAH Media Suite, it points out significant differences in the availability of these two source collections. It argues that these imbalances can be explained by the historical context in which these sources were created as well as by archival policies after 1945. The main problem lies in the digitized radio archive which contains only a relatively small amount of audio and leaves out the enormous amount of documents, such as transcripts and monitoring reports. With our article, we ask for more attention for this form of 'audio on paper', which has previously been overlooked by scholars and archivists. In the conclusion we argue for the digitization of these source materials and inclusion in the Media Suite as a first step towards redrawing the borders of media archives, enabling a new research agenda aimed at studying transnational entanglements in war time propaganda. [ABSTRACT FROM AUTHOR]

A scrapbook compiled between 1660 and 1687 by Gesina ter Borch (1631–1690), a female artist from the small town of Zwolle in the Netherlands, contains an intriguing painting on paper of a full-length portrait of a young Iranian. Although the figure wears the attributes in vogue at the Safavid court of Isfahan, certain elements seem rather incongruous and peculiar. The general composition appears static and rigid, an impression reinforced by an unusual black painted background. Stylistic differences within the painting were also observed, hinting at alterations to the original painting. To investigate the history of the painting and to reconstruct the original composition and identify the later additions, perhaps made by Gesina herself, the painting was examined with different imaging and analytic techniques available at the Conservation and Science Department of the Rijksmuseum. This allowed the research team to discriminate between pigments used for the original composition and pigments used to conceal damaged areas of the painting and added pictorial elements. After interpreting scientific results, as well as historical findings, it was possible to shed light on the use of specific pigments, namely lead white and smalt, and on the possible misinterpretation of some details, such as the cup held by the young man. The results of macro X-ray fluorescence scanning (MA-XRF) and lead isotope analysis, viewed in the light of information about the economic and cultural exchanges between Iran and the Netherlands in the seventeenth century, fed new theories about the origin and history of this painting. The painting, originally made in Iran in the style of Riza Abbasi, the head of the Emperor Shah Abbas' library, ended up in Gesina ter Borch's workshop and may have been 'restored' by the artist to improve its condition and to match her tastes. [ABSTRACT FROM AUTHOR]

The study assesses highly cited research works in the area Business, Management and Accounting retrieving data from Scopus database for the period 1998-2017. It found total 49417 publications which received 769676 citations. The study identifies about one third (32.88%) of papers have remained uncited during the period. Among rest, papers' having one citation (10.60%) is higher. It is inferred from the analysis that older publications get more citations. Indian citation distribution is almost similar with global citation distribution pattern. The study identifies Cranfield University of UK has greater impact. International collaboration brings higher citations and Netherlands has higher citation per paper (27.33) due to its international collaborative research. Besides, language may be a barrier of research communication. Clusters and the new is highly cited paper. Out of top ten highly cited research papers, six papers are single authored and two papers have international collaboration. Maximum authors are from USA. Harvard business review is the quality journal. [ABSTRACT FROM AUTHOR]

Background: radiotherapy is one of the major treatments for lung cancer and has been a hot research area for years. This bibliometric analysis aims to present the research trends on lung cancer radiotherapy. Method: On August 31, 2022, the authors identified 9868 articles on lung cancer radiotherapy by the Web of Science (Science Citation Indexing Expanded database) and extracted their general information and the total number of citations. A bibliometric analysis was carried out to present the research landscape, demonstrate the research trends, and determine the most cited papers (top-papers) as well as top-journals on lung cancer radiotherapy. After that, the authors analyzed the recent research hotspots based on the latest publications in top-journals. Results: These 9868 papers were cited a total of 268,068 times. "Durvalumab after chemoradiotherapy in stage III non-small-cell lung cancer" published in 2017 by Antonia et al. was the most cited article (2110 citations). Among the journals, New England Journal of Medicine was most influential. Moreover, J. Clin. Oncol. and Int. J. Radiat. Oncol. Biol. Phys. was both influential and productive. Corresponding authors represented the USA (2610 articles) and China mainland (2060 articles) took part in most publications and articles with corresponding authors from Netherlands were most cited (46.12 citations per paper). Chemoradiotherapy was the hottest research area, and stereotactic body radiotherapy has become a research hotspot since 2006. Radiotherapy plus immunotherapy has been highly focused since 2019. Conclusions: This bibliometric analysis comprehensively and quantitatively presents the research trends and hotspots based on 9868 relevant articles, and further suggests future research directions. The researchers can benefit in selecting journals and in finding potential collaborators. This study can help researchers gain a comprehensive picture of the research landscape, historical development, and recent hotspots in lung cancer radiotherapy and can provide inspiration for future research. [ABSTRACT FROM AUTHOR]

Objectives: Dysfunction after transient ischaemic attack (TIA) and minor stroke is often underestimated by clinical measures. Patient-reported outcome measures used in value-based healthcare may help in detecting these problems. The Patient-Reported Outcomes Measurement Information System 10-Question Short Form (PROMIS-10 Global Health) is a concise patient-centred outcome measuring tool proposed for assessing health status in patients who had stroke. This study aims to address the validity of the Dutch PROMIS-10 in patients who had stroke in the Netherlands and also aims to compare telephone versus on-paper assessment., Design: Observational cohort study., Setting: Single-centre hospital in the Netherlands., Participants: 75 patients who were diagnosed with TIA or minor stroke and discharged without rehabilitation treatment 1 year ago (between December 2014 and January 2016) completed the study., Primary and Secondary Outcome Measures: PROMIS-10 physical (PH) and mental health (MH) scores assessed 1 year poststroke on paper (n=37) and by telephone (n=38) was compared with RAND-36 physical and mental component scores assessed on paper., Results: PROMIS-10 and RAND-36 correlated significantly in PH, r=0.81 (95% CI 0.69 to 0.88), and MH, r=0.76 (95% CI 0.64 to 0.85). Paper-and-pencil assessed correlations were r=0.87 and 0.79 for PH and MH, respectively. Telephone assessed correlations were r=0.76 and 0.73 for PH and MH, respectively. Internal consistency analysis indicated high reliabilities for both health components of the PROMIS-10, all Cronbach's α>0.70., Conclusions: The Dutch PROMIS-10 was found to strongly correlate with the RAND-36. Paper-and-pencil assessment was found to have a higher correlation than telephone assessment. This study provides support for the use of the Dutch PROMIS-10 in assessing health status in patients after TIA and minor stroke., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Across the European Union costs for the treatment of oral disease is expected to rise to €93 Billion by 2020 and be higher than those for stroke and dementia combined. A significant proportion of these costs will relate to the provision of care for older people. Dental caries severity and experience is now a major public health issue in older people and periodontal disease disproportionately affects older adults. Poor oral health impacts on older people's quality of life, their self-esteem, general health and diet. Oral health care service provision for older people is often unavailable or poor, as is the standard of knowledge amongst formal and informal carers. The aim of this discussion paper is to explore some of the approaches that could be taken to improve the level of co-production in the design of healthcare services for older people., Main Text: People's emotional and practical response to challenges in health and well-being and the responsiveness of systems to their needs is crucial to improve the quality of service provision. This is a particularly important aspect of care for older people as felt, expressed and normative needs may be fundamentally different and vary as they become increasingly dependent. Co-production shifts the design process away from the traditional 'top-down' medical model, where needs assessments are undertaken by someone external to a community and strategies are devised that encourage these communities to become passive recipients of services. Instead, an inductive paradigm of partnership working and shared leadership is actively encouraged to set priorities and ultimately helps improve the translational gap between research, health policy and health-service provision., Discussion: The four methodological approaches discussed in this paper (Priority Setting Partnerships, Discrete Choice Experiments, Core Outcome Sets and Experience Based Co-Design) represent an approach that seeks to better engage with older people and ensure an inductive, co-produced process to the research and design of healthcare services of the future. These methods facilitate partnerships between researchers, healthcare professionals and patients to produce more responsive and appropriate public services for older people.

Scientometrics is a sub field of bibliometrics. Mapping of research outputs on Dyslexia: A Scientometric study during 2015-2019. There are 1677 research papers were contributed by 7623 authors during 2015 - 2019, Single authors have contributed 134 research papers and Triple authors have contributed 314 research papers. The author Tzipi Horowitz-Kraus have contributed 12 research papers, Average relative growth rate is 0.027 and doubling time is 13.227. Country wide, United states have contributed 398 research papers on Dyslexia occupy the first rank and India have contributed 13 research papers occupy the 20th rank, Preferred language of authors are found to be English 1639(97.73%) on Dyslexia research. The journal "Dyslexia "(Chichester, England) have contributed 134(7.99%) research papers occupy 1st rank. Prolific contributed institutions, First Rank occupied by Behavioral Science Institute the Netherlands have contributed 15 research papers, the degree of collaboration by Subramaniam formula the mean degree of collaboration is 0.920. shows that 92% of contributions are from collaborative authors. Dyslexia research shows remarkably low by India, it is necessary to give awareness to people on Dyslexia. The funding agencies and Government of India should take initiation to encourage the researchers to contribute more research papers on Dyslexia. The researchers should collaborate with other countries to enrich their knowledge on Dyslexia. [ABSTRACT FROM AUTHOR]

Environmental classifications are of paramount importance for assessing the impacts of land-use changes, for prioritizing conservation efforts, and for developing effective management strategies to mitigate the negative impacts of human activities. The aim of our research was to provide as complete an analysis as possible of the studies that have been carried out using the Braun-Blanquet approach. The global review of studies based on the Braun-Blanquet approach includes 1168 papers and was conducted using the PRISMA 2009 methodological recommendations, strict criteria for the selection/quality of papers, and modern methods of data analysis and visualization using VOSviewer software developed by Nees Jan van Eck and Ludo Waltman (Centre for Science and Technology Studies (CWTS) of Leiden University in the Netherlands) (version 1.6.18), which ensures a representative sample, minimization of subjective judgements, and reliability of conclusions. It was noted that the number of publications on Braun-Blanquet is growing exponentially. This is an indication of the scientific interest in this methodology and its continuous further development. Based on a detailed analysis of the keywords, the main research directions and challenges are identified. These include improving the conceptual and methodological foundations of the Braun-Blanquet approach; improvement in regional vegetation classifications, synthesizing them and producing a comprehensive classification for large areas as a basis for biodiversity conservation and sustainable land use; expansion of the geography; compilation and updating of databases of phytosociological data; management of dynamics and vegetation; discussion of the important problem of continuity and discreteness of vegetation in the context of ecological classifications; and vegetation mapping. The top 20 journals publishing the most cited articles were identified, as well as the top 20 most cited journals whose high citation rate is due to the large number of high-quality articles. The analysis of the bibliographic network of papers in dynamics has shown that the structure of relationships is not constant and has changed significantly. The analysis of the authors' publication activity showed that the vast majority of researchers have a low publication activity and have published only one to three papers. A peculiarity also emerges: if all the most cited authors are concentrated in Eurasia, then most of the most actively published authors are outside Eurasia. The importance of the Braun-Blanquet approach for the study and classification of forest vegetation should be emphasized. In this case, the Braun-Blanquet approach is integrated into forest typologies, increasing their ecological validity and environmental relevance. [ABSTRACT FROM AUTHOR]

The dataset includes data from the two studies reported in our 'Terror Management in a Multicultural Society' paper. The data was collected at the psychology lab at the Vrije Universiteit Amsterdam in 2013/2014 among Dutch-speaking student samples. The dataset consists of the measures described in the paper. The data can be used for replication purposes, meta-analyses, and exploratory analyses, as well as cross-cultural comparisons of mortality salience effects. The authors also welcome collaborative research based on re-analyses of the data. [ABSTRACT FROM AUTHOR]

The article offers information on Physical therapy was no inferior to partial meniscectomy for improving knee function in patients with no obstructive meniscal tears.

Cardiac rehabilitation (CR) has evolved as an important part of the treatment of patients with cardiovascular disease. However, to date, its full potential is fairly underutilised. This review discusses new developments in CR aimed at improving participation rates and long-term effectiveness in the general cardiac population. It consecutively highlights new or challenging target groups, new delivery modes and new care pathways for CR programmes. These new or challenging target groups include patients with atrial fibrillation, obesity and cardiovascular disease, chronic coronary syndromes, (advanced) chronic heart failure with or without intracardiac devices, women and frail elderly patients. Also, the current evidence regarding cardiac telerehabilitation and loyalty programmes is discussed as new delivery modes for CR. Finally, this paper discusses novel care pathways with the integration of CR in residual risk management and transmural care pathways. These new developments can help to make optimal use of the benefits of CR. Therefore we should seize the opportunities to reshape current CR programmes, broaden their applicability and incorporate them into or combine them with other cardiovascular care programmes/pathways. [ABSTRACT FROM AUTHOR]

The use of radiation to treat keloid scars has gained popularity during the last few decades. However, few bibliometric analyses have been performed on the published articles. This research aimed to demonstrate and evaluate the trends, top-cited articles, and frontier areas. In this cross-sectional study, Web of Science (WOS) and Scopus database literature was searched for all MESH terms related to "keloid" and "radiotherapy." The bibliometric analysis was carried out by VOSviewer 1.6.15. Articles with Web of Science-based citations of ≥20 were included. The citation per year index (CPYI) of articles was calculated for further inclusion of papers if they had CPYI higher than the mean value. There were 95 papers on keloid radiation that satisfied the inclusion criteria and were published between 1942 and 2019. The CPYI ranged from 0.38 to 11.3. Most studies were published in the "International Journal of Radiation Oncology, Biology, and Physics" (9 papers). The United States has the most papers (14), followed by Japan (9), the Netherlands (7), and Germany (5). To the best of our knowledge, this is the first bibliometric analysis of top-cited papers on keloid radiotherapy. From 2014 to the present, it seems that this title has resurfaced as a popular topic, with radiotherapy within 24 h of surgery being the most commonly recommended treatment plan. Since around 2011, high-dose-rate brachytherapy (HDR-BT) has been used as an effective treatment for keloid control. Individualization of therapy and dose/technique based on the location is strongly suggested. [ABSTRACT FROM AUTHOR]

BACKGROUND: Posttraumatic stress disorder (PTSD) is often associated with impaired fear inhibition and decreased safety cue processing; however, studies capturing the cognitive aspect of inhibition and contextual cue processing are limited. In this fMRI study, the role of contextual cues in response inhibition was investigated. METHODS: Male medication-naive war veterans with PTSD, male control veterans (combat controls) and healthy nonmilitary men (healthy controls) underwent fMRI while performing the stop-signal anticipation task (SSAT). The SSAT evokes 2 forms of response inhibition: reactive inhibition (outright stopping) and proactive inhibition (anticipation of stopping based on contextual cues). RESULTS: We enrolled 28 veterans with PTSD, 26 combat controls and 25 healthy controls in our study. Reduced reactive inhibition was observed in all veterans, both with and without PTSD, but not in nonmilitary controls, whereas decreased inhibition of the left pre/postcentral gyrus appeared to be specifically associated with PTSD. Impaired behavioural proactive inhibition was also specific to PTSD. Furthermore, the PTSD group showed a reduced right inferior frontal gyrus response during proactive inhibition compared with the combat control group. LIMITATIONS: Most patients with PTSD had comorbid psychiatric disorders, but such comorbidity is common in patients with PTSD. Also, the education level (estimate of intelligence) of participants, but not of their parents, differed among the groups. CONCLUSION: Our findings of reduced proactive inhibition imply that patients with PTSD show reduced contextual cue processing. These results complement previous findings on fear inhibition and demonstrate that contextual cue processing in patients with PTSD is also reduced during cognitive processes, indicating a more general deficit. [ABSTRACT FROM AUTHOR]

This review is aimed at summarizing the current state of knowledge about the relationship between environmental exposure to the bioaerosol emitted by intensive livestock farming and changes in the microbiome of people living in livestock farm vicinity. The PubMed, Scopus and Web of Science databases were searched by crossing keywords from the following 3 groups: a) "livestock," "animal farms," "animal breeding"; b) "microbiome," "resistome"; c) "livestock vicinity," "farm vicinity," "neighborhoods and health" in 2010-2022. Literature screening did not reveal any paper related to the full microbiome composition in the population studied. In the study, the authors included 7 papers (5 from the Netherlands, 1 from the USA, and 1 from China). The studies confirmed the carriage of Staphylococcus aureus, including methicillin-resistant S. aureus (MRSA), livestockassociated MRSA (LA-MRSA MC398) and multidrug-resistant S. aureus (MDRSA) in the nasal microbiome of adults and children living within 500-2000 m from a livestock farm. Clostridium difficile, including LA-ribotype RT078 carriage, was detected in the intestinal microbiome of adults living within 500-1000 m. Extended-spectrum β-lactamase (ESBL) producing Enterobacteriaceae were confirmed in the intestinal microbiome of adults living within 500-6200 m. Knowledge on the composition of the microflora of people living in livestock farm vicinity is insufficient to conclude about changes in the microbiome caused by the environmental emission of bioaerosol. The carriage prevalence of the LA-bacteria, including both strains with antimicrobial resistance and antimicrobial resistance genes, confirms the presence of zoonotic bacteria in the human microflora in populations without occupational contact with animals. It cannot be ruled out that zoonotic bacteria, as a component of the microbiome, have a negative impact on people's health. Int J Occup Med Environ Health. 2024;37(2):138-52. [ABSTRACT FROM AUTHOR]

Background: Questionnaires are widely used in survey research, especially in cohort studies. However, participation in questionnaire studies has been declining over the past decades. Because high participation rates are needed to limit the risk of selection bias and produce valid results, it is important to investigate invitation strategies which may improve participation. Objectives: The purpose of this study is to investigate the effect of Web-based versus paper-based questionnaires on participation rates in a questionnaire survey on late effects among childhood cancer survivors (CCSs). Methods: A total of 750 CCSs were randomized across 3 study arms. The initial invitation in study arms 1 and 2 consisted of a Web-based questionnaire only, whereas in study arm 3 this invitation was complemented with a paper-based version of the questionnaire. The first postal reminder, sent to the nonresponding CCSs in all 3 study arms, consisted of either a reminder letter only (study arms 1 and 3) or a reminder letter complemented with a paper-based questionnaire (study arm 2). The second postal reminder was restricted to CCSs in study arms 1 and 2, with only those in study arm 1 also receiving a paper-based questionnaire. CCSs in study arm 3 received a second reminder by telephone instead of by mail. In contrast to CCSs in study arm 3, CCSs in study arms 1 and 2 received a third reminder, this time by telephone. Results: Overall, 58.1% (436/750) of the CCSs participated in the survey. Participation rates were equal in all 3 study arms with 57.4% (143/249) in arm 1, 60.6% (152/251) in arm 2, and 56.4% (141/250) in arm 3 (P=.09). Participation rates of CCSs who received an initial invitation for the Web-based questionnaire only and CCSs who received an invitation to complete either a paper-based or Web-based questionnaire did not differ (P=.55). After the first postal reminder, participation rates of CCSs invited for the Web-based questionnaire only also did not differ compared with CCSs invited for both the Web-based and paper-based questionnaires (P=.48). In general, CCSs preferred the paper-based over the Web-based questionnaire, and those completing the paper-based questionnaire were more often unemployed (P=.004) and lower educated (P<.001). Conclusion: Invitation strategies offering a Web-based questionnaire without a paper-based alternative at first invitation can be used without compromising participation rates of CCS. Offering the choice between paper- and Web-based questionnaires seems to result in the highest accrual participation rate. Future research should look into the quality of the data delivered by both questionnaires filled in by respondents themselves. Trial Registration: International Standard Randomized Controlled Trial Number (ISRCTN): 84711754; http://www.controlled-trials.com/ISRCTN84711754 (Archived by WebCite at http://www.webcitation.org/6c9ZB8paX) [ABSTRACT FROM AUTHOR]

Background: Few examples exist of research capacity building (RCB) in midwifery. As in other jurisdictions, at the turn of this century midwives in the Netherlands lagged in research-based practice. Dutch professional and academic organisations recognised the need to proactively undertake RCB. This paper describes how a large national research project, the DELIVER study, contributed to RCB in Dutch midwifery. Methods: Applying Cooke's framework for RCB, we analysed the impact of the DELIVER study on RCB in midwifery with a document analysis comprising the following documents: annual reports on research output, websites of national organizations that might have implemented research findings, National Institute for Public Health and the Environment (RIVM)), midwifery guidelines concerning DELIVER research topics, publicly available career information of the PhD students and a google search using the main research topic and name of the researcher to look for articles in public papers. Results: The study provided an extensive database with nationally representative data on the quality and provision of midwifery-led care in the Netherlands. The DELIVER study resulted in 10 completed PhD projects and over 60 publications. Through close collaboration the study had direct impact on education of the next generation of primary, midwifery care practices and governmental and professional bodies. Discussion: The DELIVER study was intended to boost the research profile of primary care midwifery. This reflection on the research capacity building components of the study shows that the study also impacted on education, policy, and the midwifery profession. As such the study shows that this investment in RCB has had a profound positive impact on primary care midwifery in the Netherlands. [ABSTRACT FROM AUTHOR]

Background: Physical activity surveillance systems are important for public health monitoring but rely mostly on self-report measurement of physical activity. Integration of device-based measurements in such systems can improve population estimates, however this is still relatively uncommon in existing surveillance systems. This systematic review aims to create an overview of the methodology used in existing device-based national PA surveillance systems. Methods: Four literature databases (PubMed, Embase.com, SPORTDiscus and Web of Science) were searched, supplemented with backward tracking. Articles were included if they reported on population-based (inter)national surveillance systems measuring PA, sedentary time and/or adherence to PA guidelines. When available and in English, the methodological reports of the identified surveillance studies were also included for data extraction. Results: This systematic literature search followed the PRISMA guidelines and yielded 34 articles and an additional 18 methodological reports, reporting on 28 studies, which in turn reported on one or multiple waves of 15 different national and 1 international surveillance system. The included studies showed substantial variation between (waves of) systems in number of participants, response rates, population representativeness and recruitment. In contrast, the methods were similar on data reduction definitions (e.g. minimal number of valid days, non-wear time and necessary wear time for a valid day). Conclusions: The results of this review indicate that few countries use device-based PA measurement in their surveillance system. The employed methodology is diverse, which hampers comparability between countries and calls for more standardized methods as well as standardized reporting on these methods. The results from this review can help inform the integration of device-based PA measurement in (inter)national surveillance systems. [ABSTRACT FROM AUTHOR]

Background: BERT models have seen widespread use on unstructured text within the clinical domain. However, little to no research has been conducted into classifying unstructured clinical notes on the basis of patient lifestyle indicators, especially in Dutch. This article aims to test the feasibility of deep BERT models on the task of patient lifestyle classification, as well as introducing an experimental framework that is easily reproducible in future research. Methods: This study makes use of unstructured general patient text data from HagaZiekenhuis, a large hospital in The Netherlands. Over 148 000 notes were provided to us, which were each automatically labelled on the basis of the respective patients' smoking, alcohol usage and drug usage statuses. In this paper we test feasibility of automatically assigning labels, and justify it using hand-labelled input. Ultimately, we compare macro F1-scores of string matching, SGD and several BERT models on the task of classifying smoking, alcohol and drug usage. We test Dutch BERT models and English models with translated input. Results: We find that our further pre-trained MedRoBERTa.nl-HAGA model outperformed every other model on smoking (0.93) and drug usage (0.77). Interestingly, our ClinicalBERT model that was merely fine-tuned on translated text performed best on the alcohol task (0.80). In t-SNE visualisations, we show our MedRoBERTa.nl-HAGA model is the best model to differentiate between classes in the embedding space, explaining its superior classification performance. Conclusions: We suggest MedRoBERTa.nl-HAGA to be used as a baseline in future research on Dutch free text patient lifestyle classification. We furthermore strongly suggest further exploring the application of translation to input text in non-English clinical BERT research, as we only translated a subset of the full set and yet achieved very promising results. [ABSTRACT FROM AUTHOR]

Sectorization of a water distribution network (WDN) into district meter areas (DMAs) is considered a key strategy for an efficient management of WDNs. Typically, it involves a two-stage procedure: a clustering stage, in which the division of the WDN into clusters is performed, and a dividing stage, which involves the placement of valves and flow meters on the cluster's boundary pipes to define the DMAs. While recently published methods attempt to enhance both the clustering and dividing stages, they fail to provide decision-making flexibility. They also neglect to consider the presence of existing valves in the WDN, which can significantly affect the evaluated implementation cost, often considered the primary decision-driving factor. This paper presents improvements to the previously introduced DeNSE method for sectorization of WDNs, aiming to address these deficiencies. The methodology consists of a clustering stage, based on the network uniformity index, and a dividing stage, in which the originally used heuristic procedure is replaced with Genetic Algorithm (GA) optimization, minimizing implementation cost. Consideration of existing valves in WDN and criteria for water supply security are also included in the dividing stage to offer a better estimate of implementation costs and post-sectorized operational efficiency of the WDN. Finally, GIS visualization is implemented, and a hydraulic model of the sectorized WDN (EPANET file) is generated, providing practitioners with valuable insights and decision-making flexibility. The methodology is tested on a part of the Amsterdam WDN in the Netherlands, serving as a pilot for methodology evaluation. A range of feasible sectorization solutions is generated and compared based on implementation cost and three performance indicators (PIs). The paper provides an in-depth discussion on the selection of preferable sectorization solution. The reported results demonstrate the method's efficiency in optimizing sectorization solutions with minimum implementation cost whilst preserving the WDN operational efficiency and meeting the local design criteria. [ABSTRACT FROM AUTHOR]

Background: The Disease Control Priorities 3 (DCP3) project provides long-term support to Pakistan in the development and implementation of its universal health coverage essential package of health services (UHC-EPHS). This paper reports on the priority setting process used in the design of the EPHS during the period 2019-2020, employing the framework of evidence-informed deliberative processes (EDPs), a tool for priority setting with the explicit aim of optimising the legitimacy of decision-making in the development of health benefit packages. Methods: We planned the six steps of the framework during two workshops in the Netherlands with participants from all DCP3 Pakistan partners (October 2019 and February 2020), who implemented these at the country level in Pakistan in 2019 and 2020. Following implementation, we conducted a semi-structured online survey to collect the views of participants in the UHC benefit package design about the prioritisation process. Results: The key steps in the EDP framework were the installation of advisory committees (involving more than 150 members in several Technical Working Groups [TWGs] and a National Advisory Committee [NAC]), definition of decision criteria (effectiveness, cost-effectiveness, avoidable burden of disease, equity, financial risk protection, budget impact, socio-economic impact and feasibility), selection of interventions for evaluation (a total of 170), and assessment and appraisal (across the three dimensions of the UHC cube) of these interventions. Survey respondents were generally positive across several aspects of the priority setting process. Conclusion: Despite several challenges, including a partial disruption because of the COVID-19 pandemic, implementation of the priority setting process may have improved the legitimacy of decision-making by involving stakeholders through participation with deliberation, and being evidence-informed and transparent. Important lessons were learned that can be beneficial for other countries designing their own health benefit package such as on the options and limitations of broad stakeholder involvement. [ABSTRACT FROM AUTHOR]

Background: The topic of minimal residual disease (MRD) has emerged as a crucial subject matter in the domain of oncology in recent years. The detection and monitoring of MRD have become essential for the diagnosis, treatment, and prognosis of various types of malignancy. Aims: The purpose of this study is to explore the research trends, hotspots, and frontiers of MRD in the last two decades through bibliometric analysis. Methods: We employed Web of Science databases to carry out a bibliometric visualization analysis of research on 8,913 academic papers about MRD research from 2002 to 2022. VOSviewer, CiteSpace, RStudio, and a bibliometric online analysis platform were mainly used to conduct co-occurrence analysis and cooperative relationship analysis of countries/regions, institutions, journals, and authors in the literature. Furthermore, co-occurrence, co-citation, and burst analyses of keyword and reference were also conducted to generate relevant knowledge maps. Results: In the past 20 years, the number of MRD research papers has presented an overall rising trend, going through three stages: a plateau, development, and an explosion. The output of articles in the United States was notably superior and plays a dominant role in this field, and the Netherlands had the highest average citation per article. The most productive and influential institution was the University of Texas MD Anderson Cancer Center. Blood published the most papers and was the most cited journal. A collection of leading academics has come to the fore in the research field, the most prolific of which is Kantarjian HM. It was found that the application of MRD in "acute myeloid leukemia", "acute lymphoblastic leukemia", "multiple myeloma", as well as the detection technology of MRD, are the research hotspots and frontiers in this domain. Furthermore, we analyzed the co-citation network of references and found that the top 10 co-cited references were all associated with MRD in hematological malignancies. Conclusion: This bibliometric visualization analysis conducted a thorough exploration into the research hotspots and trends in MRD from 2002 to 2022. Our findings can aid researchers in recognizing possible collaborations, guiding future research directions, and fostering the growth of MRD detection and monitoring technologies. [ABSTRACT FROM AUTHOR]

University Libraries play a crucial role in moving towards Open Science, contributing to more transparent, reproducible and reusable research. The Center for Digital Scholarship (CDS) at Leiden University (LU) library is a scholarly lab that promotes open science literacy among Leiden's scholars by two complementary strategies: existing top-down structures are used to provide training and services, while bottom-up initiatives from the research community are actively supported by offering the CDS's expertise and facilities. An example of how bottom-up initiatives can blossom with the help of library structures such as the CDS is ReproHack. ReproHack -- a reproducibility hackathon -- is a grass-root initiative by young scholars with the goal of improving research reproducibility in three ways. First, hackathon attendees learn about reproducibility tools and challenges by reproducing published results and providing feedback to authors on their attempt. Second, authors can nominate their work and receive feedback on their reproducibility efforts. Third, the collaborative atmosphere helps building a community interested in making their own research reproducible. A first ReproHack in the Netherlands took place on November 30th, 2019, co-organised by the CDS at the LU Library with 44 participants from the fields of psychology, engineering, biomedicine, and computer science. For 19 papers, 24 feedback forms were returned and five papers were reported as successfully reproduced. Besides the researchers' learning experience, the event led to recommendations on how to enhance research reproducibility. The ReproHack format therefore provides an opportunity for libraries to improve scientific reproducibility through community engagement. [ABSTRACT FROM AUTHOR]

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Background: This study takes on the challenge of quantifying a complex causal loop diagram describing how poverty and health affect each other, and does so using longitudinal data from The Netherlands. Furthermore, this paper elaborates on its methodological approach in order to facilitate replication and methodological advancement. Methods: After adapting a causal loop diagram that was built by stakeholders, a longitudinal structural equation modelling approach was used. A cross-lagged panel model with nine endogenous variables, of which two latent variables, and three time-invariant exogenous variables was constructed. With this model, directional effects are estimated in a Granger-causal manner, using data from 2015 to 2019. Both the direct effects (with a one-year lag) and total effects over multiple (up to eight) years were calculated. Five sensitivity analyses were conducted. Two of these focus on lower-income and lower-wealth individuals. The other three each added one exogenous variable: work status, level of education, and home ownership. Results: The effects of income and financial wealth on health are present, but are relatively weak for the overall population. Sensitivity analyses show that these effects are stronger for those with lower incomes or wealth. Physical capability does seem to have strong positive effects on both income and financial wealth. There are a number of other results as well, as the estimated models are extensive. Many of the estimated effects only become substantial after several years. Conclusions: Income and financial wealth appear to have limited effects on the health of the overall population of The Netherlands. However, there are indications that these effects may be stronger for individuals who are closer to the poverty threshold. Since the estimated effects of physical capability on income and financial wealth are more substantial, a broad recommendation would be that including physical capability in efforts that are aimed at improving income and financial wealth could be useful and effective. The methodological approach described in this paper could also be applied to other research settings or topics. [ABSTRACT FROM AUTHOR]

In times of climate change, periods of drought will occur more frequently. This causes challenges for water use, ranging from limitations on the navigability of water courses, limited availability of water for irrigation and drinking water supply, reduced hydropower production, increasing concentrations of pollutants, deteriorating water quality, and ecosystem degradation. Dealing with droughts, however, is a complex puzzle due to the multi-level governance characteristics of international river basins and the need to meet the freshwater demands of all sectors involved. This increases the need to address drought issues in a coordinated way, along all levels of decision making. Thus far, the way this must be executed has been under-researched. This paper addresses this knowledge gap as it aims to provide design principles for good multi-level drought risk governance in international river basins. In order to meet our aim, we first reviewed literature on multi-level and good governance and established an assessment framework. This framework was applied in a case study on drought risk governance in the international Rhine basin. Policy documents were analyzed and key informants interviewed. We found that although the governance practice in the basin meets most of our framework criteria, differences between the international level, the Netherlands, Germany, and Switzerland also occurred. We have synthesized our findings into a list of 10 design principles for good multi-level drought risk governance, which could function as a starting point for the analysis and improvement of other multi-level drought risk governance practices. [ABSTRACT FROM AUTHOR]

In The Netherlands, women who experience domestic violence can rely on public policies that aim to support them, such as shelters. Drawing on the lived experiences, through 10 interviews and observations, of women with different cultural backgrounds and nationalities staying in a shelter, and on 37 interviews with social workers working with these women, we observed that this support falls short for them. We argue that immigration rules, together with policies on domestic violence and housing, (unintentionally) often work in tandem with violent partners to prevent women with migration backgrounds from leaving violent relationships. The paper draws on a perspective of institutional considerations of solidarity to unpack the relations between domestic violence, cultural constraints, and public policies but looks also at the positive experiences of women of migrant backgrounds with these Dutch policies. This research indicates that there is a lack of institutional solidarity towards women, especially those arriving as marriage migrants, who have experienced domestic violence. In exploring the intersections of domestic violence and often exclusionary state policies, the paper reflects on how The Netherlands can provide more support to those women and how intersectional justice and solidarity might be expressed. [ABSTRACT FROM AUTHOR]

Flood defences are often situated in public spaces and are mostly multi‐functional, multi‐financed and multi‐managed. Cooperation in flood defence asset management is important because roles and responsibilities are fragmented within and between organisations. This complex context calls for mutual understanding from responsible role‐holders. Research has shown that serious games are instrumental to reflect situations in which technical and social complexity both play a role. Serious games motivate participants to learn and to change the way they learn. This paper presents the development, application, and results of a serious game 'Dike Dilemmas Under Pressure' that aims to create better mutual understanding between actors in flood defence asset management. The game was played with 67 professionals that fulfil a diversity of roles related to flood defence asset management in the Netherlands. The analysis of the results in this paper clearly shows different preferred cooperative attitudes between different groups of role‐holders and indicates potential misperceptions. The game participants were enthusiastic about the insights gained. They indicated that it helped them to recognise the broad variety of asset management dilemmas and become aware of their own cooperative attitudes and those of their colleagues towards dealing with these dilemmas. Future application of the game is recommended to monitor the cooperative attitudes of professionals in flood defence and to support the development of teams. [ABSTRACT FROM AUTHOR]

Flood defences are in practice often multi‐used, multi‐managed and multi‐financed. Flood defence asset management contains technical, organizational and spatial complex issues involving multiple organizations. In the literature, little attention has been given to the conditions for successful cooperation between organizations in flood defence asset management. This paper elaborates on this aspect of mature asset management from a practical point of view. Although the importance of a fit‐for‐purpose cooperation seems trivial, practice shows that the shape of cooperation is often the coincidental result of implicit or ad‐hoc choices and is not deliberately designed. This paper reports on empirical data gathered in a case consisting of five different situations related to collaboration in flood defence management. The management context consists of three main tasks: performance assessment, reinforcement and daily management, and three decision levels: strategic, tactical and operational, resulting in nine different management environments and related interfaces. For effectively achieving desired outcomes, the shape of cooperation has to be explicitly chosen dependent on the complexity of content and organizational context, and relevant external circumstances: situational cooperation. [ABSTRACT FROM AUTHOR]

Objective: To investigate whether the use of the think-aloud method with propositional analysis could be helpful in the design of a Clinical Decision Support System (CDSS) providing guideline recommendations about long-term follow-up of childhood cancer survivors.Materials and Methods: The think-aloud method was used to gain insight into healthcare professionals' information processing while reviewing a paper-based guideline. A total of 13 healthcare professionals (6 physicians and 7 physician assistants) prepared 2 fictitious patient consults using the paper-based guideline. Propositional analysis was used to analyze verbal protocols of the think-aloud sessions. A prototype CDSS was developed and a usability study was performed, again with the think-aloud method.Results: The analysis revealed that the paper-based guideline did not support healthcare practitioners in finding patient-specific recommendations. An information processing model for retrieving recommendations was developed and used as input for the design of a CDSS prototype user interface. Usability analysis of the prototype CDSS showed that the navigational structure of the system fitted well with healthcare practitioners' daily practices.Conclusions: The think-aloud method combined with propositional analysis of healthcare practitioners' verbal utterances while they processed a paper-based guideline was useful in the design of a usable CDSS providing patient-specific guideline recommendations. [ABSTRACT FROM AUTHOR]

Raw wastewater from livestock farms is a mixture of faeces, urine, bedding materials, and water from washing and cannot be distributed on agricultural land in this state, and not discharged in natural emissions. That is why it is necessary to purify them, in order to retain and neutralize the harmful substances present in these wastewaters from animal farms, which are not accepted in the aquatic environment where the treated water is discharged and which allow the physical-chemical properties of the water to be restored before use. The paper analyses the importance of wastewater treatment from livestock farms, respectively the need to build efficient treatment plants. The possibility of using the advanced hydroinformatic tool WEST, developed by DHI Holland, is presented for the design, exploitation and optimization of such a treatment plant. [ABSTRACT FROM AUTHOR]

This paper presents the methodology for the construction of the KNMI'23 national climate scenarios for the Netherlands. We have developed six scenarios, that cover a substantial part of the uncertainty in CMIP6 projections of future climate change in the region. Different sources of uncertainty are disentangled as much as possible, partly by means of a storyline approach. Uncertainty in future emissions is covered by making scenarios conditional on different SSP scenarios (SSP1‐2.6, SSP2‐4.5, and SSP5‐8.5). For each SSP scenario and time horizon (2050, 2100, 2150), we determine a global warming level based on the median of the constrained estimates of climate sensitivity from IPCC AR6. The remaining climate model uncertainty of the regional climate response at these warming levels is covered by two storylines, which are designed with a focus on the annual and seasonal mean precipitation response (a dry‐trending and wet‐trending variant for each SSP). This choice was motivated by the importance of future water management to society. For users with specific interests we provide means how to account for the impact of the uncertainty in climate sensitivity. Since CMIP6 GCM data do not provide the required spatial detail for impact modeling, we reconstruct the CMIP6 responses by resampling internal variability in a GCM‐RCM initial‐condition ensemble. The resulting climate scenarios form a detailed storyline of plausible future climates in the Netherlands. The data can be used for impact calculations and assessments by stakeholders, and will be used to inform policy making in different sectors of Dutch society. Plain Language Summary: To prepare society for the effects of future climate change, we need to know what the future climate will be like. In this paper we explain the method that is used to construct six different scenarios that describe possible future climates of the Netherlands. The scenarios make assumptions about future greenhouse gas emissions, and are based on the outcomes of climate models that simulate the response of the climate to these emissions. The KNMI'23 climate scenarios show that strongly reducing global emissions strongly reduces the expected changes in the climate of the Netherlands. In the scenario in which global emissions continue to rise until 2080, Dutch society will have to adapt to a much stronger increases in heat and precipitation extremes, increased risks of droughts with low river discharge in summer, and increased risk of flooding due to high river discharges in winter. In the coming years the climate scenario data will be used to evaluate what needs to be done to keep the country a safe place for people to live in and to thrive in, under changing climate conditions. Key Points: We present a methodology for the construction of regional climate scenarios using a storyline approach to partition uncertaintyResults from CMIP6 are reconstructed with a GCM‐RCM initial condition ensemble to produce high‐resolution scenario data for end‐usersSix scenario variants cover emission uncertainty (high, moderate, low) and uncertainty in the regional response (dry‐trending, wet‐trending) [ABSTRACT FROM AUTHOR]

Background: The role of patient participation and representation during crises, such as the COVID‐19 pandemic, has been under‐researched. Existing studies paint a pessimistic picture of patient representation during the pandemic. However, there are indications that patient representatives have adapted to the new situation and can contribute to the resilience of healthcare systems. This paper aims to further explore the potential contribution of patient representatives for healthcare system resilience during the COVID‐19 pandemic. Methods: The study used a qualitative approach. We conducted a thematic analysis on the following data: interviews with client council members (n = 32) and representatives from patient organizations (n = 6) and focus groups (n = 2) to investigate patient representation on both the national policy level and organizational level in the Netherlands. Results: We identified the crisis discourse, the dependent position, the diversity of patient perspectives and the layered decision‐making structure as themes that help to understand what made patient representation in pandemic times a struggle for national and local patient representatives. The analysis of the subjects these representatives put forward during decision‐making shows that their input can play an important role in broadening discussions, challenging decisions, and suggesting alternatives during a crisis. We identified several strategies (e.g., collaborating with other actors, proactively putting subjects on the policy agenda, finding new ways of contacting their 'constituency') used by the patient representatives studied to exert influence despite the difficulties encountered. Conclusions: The struggle for patient representation during pandemic decision‐making is a missed opportunity for resilient healthcare systems as these representatives can play a role in opening up discussions and putting different perspectives to the fore. Moreover, the adaptive strategies used by representatives to influence decision‐making offer lessons for future representation activities. However, adaptations to the crisis decision‐making structure are also needed to enable patient representatives to play their role. Patient Contribution: We conducted interviews with patient representatives and discussed our preliminary findings with patient representatives during the focus groups. Zorgbelang, a patient organization supporting client councils and enabling and organizing patient participation for organizations and municipalities, was partner in this research and contributed to the interview guide, conducting interviews and focus groups. Additionally, the analysis made by the first author was discussed and refined multiple times with the partners of Zorgbelang and one of them co‐authored this paper. [ABSTRACT FROM AUTHOR]

Sustainable intensification of agriculture requires understanding of the effect of soil characteristics and nutrient supply on crop growth. As farms are increasing in size by acquiring small fields from various farmers, the soil characteristics and nutrient supply might be very different from field to field, while at the same time specific soil properties might limit the nutrient uptake. As a result, there might be a large number of heterogeneous reasons why crop growth varies significantly. New data analysis techniques can help to explain variability in crop growth among fields. This paper introduces Exceptional Growth Mining (EGM) as a first contribution. EGM instantiates the data mining framework Exceptional Model Mining (EMM) such that subgroups of fields can be found that grow exceptionally in terms of three growth parameters (high/low maximum growth, steep/flat linear growth and early/late midpoint of maximum growth). As second contribution, we apply EGM to a case study by analyzing the dataset of a potato farm in the south of the Netherlands. EGM consists of (i) estimating growth curves by applying nonlinear mixed models, (ii) investigating the correlation between the estimated growth parameters, and (iii) applying EMM on these growth curve parameters using a growth curve-specific quality measure. By applying EGM on the data of the potato farm, we obtain the following results: 1) the estimated growth curves represent the variability in potato tuber growth very well (R2 of 0.92), 2) the steepness of the growth curve has a strong correlation with the maximum growth and the midpoint of maximum growth, and the correlation between the midpoint of maximum growth and maximum growth is weak, 3) the subgroup analyses indicate that: high values of K correspond to high maxima; low values of K correspond to low maxima, steep growth curves', and a late midpoint of halfway growth; Mg influences the midpoint of the growth curve; values of B are higher on dry soils with high tuber growth, while low values of B are found on wet soils with high tuber growth; high values of Zn, Mn, and Fe are found in subgroups with low tuber weight, probably related to the soil's low pH. In summary, this paper introduces EGM to obtain understanding in crop response to soil properties and nutrient supply. In addition, EGM provides a way to analyze only small parts of a large dataset, such that the impact of soil factors on growth can be analyzed on a more detailed level than existing methods. [ABSTRACT FROM AUTHOR]

This paper discussed two International Organization for Standardization (ISO) standards, namely, ISO 19152 – Land Administration Domain Model (LADM) and ISO 16739 – Industry Foundation Classes (IFC), to identify three-dimensional (3D) multi-floor building rights. These days, it is challenging to characterize all multifunctional structures due to the increase in complex buildings. High-rise building land and property information management is recommended through building information modeling (BIM). Countries like the Netherlands, Australia, and Turkey have considered adopting BIM for their land administration. A land administration standard, such as LADM, offers better legal and physical representation in identifying the rights, restrictions, and responsibilities (RRRs) of the spatial units and stakeholders. However, LADM falls short in representing all building elements, such as semantic information and invisible functional spaces. Hence, this paper reviews incorporating additional information from BIM to create a comprehensive three-dimensional building representation including legal information from LADM. Issues and challenges also being highlighted with some recommendations for possible future works. [ABSTRACT FROM AUTHOR]

Renewable energy infrastructures, such as wind and solar farms, require land on which they can be deployed. While politics and conflicts over accessing land for renewables are well documented, the role, conditions and potential agency of landownership have been often overlooked or oversimplified as a powerful terrain in the field of renewables development. In this paper, we explore the relationship between landed property and community renewable energy projects. In particular, we focus on how landed property variously influences the development modes of renewables by acting as a mediator, barrier and enabler for different types of wind energy projects. We show how this takes place through appropriation of rents in processes of assetisation and value grabbing by landowners. In this way, value grabbing acts as a vital intermediary process to understand green grabbing and wider processes of capital accumulation through renewables. We draw on insights from the Netherlands and Scotland to illuminate different mechanisms, social and historical conditions, and policies through which landed property constrains or enables community wind energy projects. The paper finishes by sketching out some alternative ways of allocating land for the deployment of renewable energy projects, which could help shift the balance of power in favour of community energy developments. [ABSTRACT FROM AUTHOR]

Background: Intervention planners use logic models to design evidence-based health behavior interventions. Logic models that capture the complexity of health behavior necessitate additional computational techniques to inform decisions with respect to the design of interventions. Objective: Using empirical data from a real intervention, the present paper demonstrates how machine learning can be used together with fuzzy cognitive maps to assist in designing health behavior change interventions. Methods: A modified Real Coded Genetic algorithm was applied on longitudinal data from a real intervention study. The dataset contained information about 15 determinants of fruit intake among 257 adults in the Netherlands. Fuzzy cognitive maps were used to analyze the effect of two hypothetical intervention scenarios designed by domain experts. Results: Simulations showed that the specified hypothetical interventions would have small impact on fruit intake. The results are consistent with the empirical evidence used in this paper. Conclusions: Machine learning together with fuzzy cognitive maps can assist in building health behavior interventions with complex logic models. The testing of hypothetical scenarios may help interventionists finetune the intervention components thus increasing their potential effectiveness. [ABSTRACT FROM AUTHOR]