260 results on '"van Zuylen P"'
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2. Varying (preferred) levels of involvement in treatment decision-making in the intensive care unit before and during the COVID-19 pandemic: a mixed-methods study among relatives
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Renckens, Sophie C., Pasman, H. Roeline, Jorna, Zina, Klop, Hanna T., Perron, Chantal du, van Zuylen, Lia, Steegers, Monique A.H., ten Tusscher, Birkitt L., van Mol, Margo M.C., Vloet, Lilian C.M., and Onwuteaka-Philipsen, Bregje D.
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- 2024
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3. The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces
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Lo, Kyle, Chang, Joseph Chee, Head, Andrew, Bragg, Jonathan, Zhang, Amy X., Trier, Cassidy, Anastasiades, Chloe, August, Tal, Authur, Russell, Bragg, Danielle, Bransom, Erin, Cachola, Isabel, Candra, Stefan, Chandrasekhar, Yoganand, Chen, Yen-Sung, Cheng, Evie Yu-Yen, Chou, Yvonne, Downey, Doug, Evans, Rob, Fok, Raymond, Hu, Fangzhou, Huff, Regan, Kang, Dongyeop, Kim, Tae Soo, Kinney, Rodney, Kittur, Aniket, Kang, Hyeonsu, Klevak, Egor, Kuehl, Bailey, Langan, Michael, Latzke, Matt, Lochner, Jaron, MacMillan, Kelsey, Marsh, Eric, Murray, Tyler, Naik, Aakanksha, Nguyen, Ngoc-Uyen, Palani, Srishti, Park, Soya, Paulic, Caroline, Rachatasumrit, Napol, Rao, Smita, Sayre, Paul, Shen, Zejiang, Siangliulue, Pao, Soldaini, Luca, Tran, Huy, van Zuylen, Madeleine, Wang, Lucy Lu, Wilhelm, Christopher, Wu, Caroline, Yang, Jiangjiang, Zamarron, Angele, Hearst, Marti A., and Weld, Daniel S.
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Computer Science - Human-Computer Interaction ,Computer Science - Artificial Intelligence ,Computer Science - Computation and Language - Abstract
Scholarly publications are key to the transfer of knowledge from scholars to others. However, research papers are information-dense, and as the volume of the scientific literature grows, the need for new technology to support the reading process grows. In contrast to the process of finding papers, which has been transformed by Internet technology, the experience of reading research papers has changed little in decades. The PDF format for sharing research papers is widely used due to its portability, but it has significant downsides including: static content, poor accessibility for low-vision readers, and difficulty reading on mobile devices. This paper explores the question "Can recent advances in AI and HCI power intelligent, interactive, and accessible reading interfaces -- even for legacy PDFs?" We describe the Semantic Reader Project, a collaborative effort across multiple institutions to explore automatic creation of dynamic reading interfaces for research papers. Through this project, we've developed ten research prototype interfaces and conducted usability studies with more than 300 participants and real-world users showing improved reading experiences for scholars. We've also released a production reading interface for research papers that will incorporate the best features as they mature. We structure this paper around challenges scholars and the public face when reading research papers -- Discovery, Efficiency, Comprehension, Synthesis, and Accessibility -- and present an overview of our progress and remaining open challenges.
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- 2023
4. The Semantic Scholar Open Data Platform
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Kinney, Rodney, Anastasiades, Chloe, Authur, Russell, Beltagy, Iz, Bragg, Jonathan, Buraczynski, Alexandra, Cachola, Isabel, Candra, Stefan, Chandrasekhar, Yoganand, Cohan, Arman, Crawford, Miles, Downey, Doug, Dunkelberger, Jason, Etzioni, Oren, Evans, Rob, Feldman, Sergey, Gorney, Joseph, Graham, David, Hu, Fangzhou, Huff, Regan, King, Daniel, Kohlmeier, Sebastian, Kuehl, Bailey, Langan, Michael, Lin, Daniel, Liu, Haokun, Lo, Kyle, Lochner, Jaron, MacMillan, Kelsey, Murray, Tyler, Newell, Chris, Rao, Smita, Rohatgi, Shaurya, Sayre, Paul, Shen, Zejiang, Singh, Amanpreet, Soldaini, Luca, Subramanian, Shivashankar, Tanaka, Amber, Wade, Alex D., Wagner, Linda, Wang, Lucy Lu, Wilhelm, Chris, Wu, Caroline, Yang, Jiangjiang, Zamarron, Angele, Van Zuylen, Madeleine, and Weld, Daniel S.
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Computer Science - Digital Libraries ,Computer Science - Computation and Language - Abstract
The volume of scientific output is creating an urgent need for automated tools to help scientists keep up with developments in their field. Semantic Scholar (S2) is an open data platform and website aimed at accelerating science by helping scholars discover and understand scientific literature. We combine public and proprietary data sources using state-of-the-art techniques for scholarly PDF content extraction and automatic knowledge graph construction to build the Semantic Scholar Academic Graph, the largest open scientific literature graph to-date, with 200M+ papers, 80M+ authors, 550M+ paper-authorship edges, and 2.4B+ citation edges. The graph includes advanced semantic features such as structurally parsed text, natural language summaries, and vector embeddings. In this paper, we describe the components of the S2 data processing pipeline and the associated APIs offered by the platform. We will update this living document to reflect changes as we add new data offerings and improve existing services., Comment: 8 pages, 6 figures
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- 2023
5. Open communication between patients and relatives about illness & death in advanced cancer—results of the eQuiPe Study
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Haaksman, Michelle, Ham, Laurien, Brom, Linda, Baars, Arnold, van Basten, Jean-Paul, van den Borne, Ben E. E. M., Hendriks, Mathijs P., de Jong, Wouter K., van Laarhoven, Hanneke W. M., van Lindert, Anne S. R., Mandigers, Caroline M. P. W., van der Padt-Pruijsten, Annemieke, Smilde, Tineke J., van Zuylen, Lia C., van Vliet, Liesbeth M., and Raijmakers, Natasja J. H.
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- 2024
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6. Experiences with and needs for aftercare following the death of a loved one in the ICU: a mixed-methods study among bereaved relatives
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Sophie C. Renckens, Bregje D. Onwuteaka-Philipsen, Zina Jorna, Hanna T. Klop, Chantal du Perron, Lia van Zuylen, Monique A.H. Steegers, Birkitt L. ten Tusscher, Margo M.C. van Mol, Wouter de Ruijter, and H. Roeline Pasman
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ICU ,Aftercare ,Bereavement ,COVID-19 ,Critical care ,Special situations and conditions ,RC952-1245 - Abstract
Abstract Background Bereaved relatives of intensive care unit (ICU) patients are at increased risk of psychological complaints. Aftercare might help them cope with processing the ICU admission and their loved one’s death. There is little (qualitative) evidence on how bereaved relatives experience aftercare. Also, the COVID-19 pandemic likely impacted aftercare provision. We aim to examine how many relatives in Dutch ICUs received aftercare before and during the pandemic and to qualitatively describe their experiences and needs regarding aftercare. Methods A mixed-methods study among relatives of patients who died in an ICU before or during the COVID-19 pandemic. Bereaved relatives in six ICUs completed a questionnaire (n = 90), including two items on aftercare. These were analyzed using descriptive statistics and Chi-squared tests. Subsequently, both relatives that received and relatives that did not receive aftercare were interviewed about their experiences and needs regarding aftercare. The interviews were thematically analyzed. Results After the passing of a loved one, 44% of the relatives were asked by a healthcare professional from the hospital how they were doing, and 26% had had a follow-up conversation. Both happened more often during the first wave of the pandemic than during the second wave or before the pandemic. The most common reason for not having had a follow-up conversation was not knowing about this option (44%), followed by not feeling a need (26%). Regarding the latter, interviewed relatives explained that this would not revive their loved one or that they had already discussed everything they wanted. Relatives who wanted a follow-up conversation, wanted this because this would help them realize the severity of their loved one’s illness, to exchange personal experiences, and/or to thank the ICU team. Those with a follow-up conversation said that they had reviewed the medical course of the admission and/or discussed their (mental) well-being. Conclusions ICU healthcare professionals may play a vital role in addressing aftercare needs by asking relatives how they are doing in the weeks following the death of their loved one and offering them a follow-up conversation with an ICU physician. We recommend to include aftercare for bereaved relatives in ICU guidelines.
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- 2024
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7. Varying (preferred) levels of involvement in treatment decision-making in the intensive care unit before and during the COVID-19 pandemic: a mixed-methods study among relatives
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Sophie C. Renckens, H. Roeline Pasman, Zina Jorna, Hanna T. Klop, Chantal du Perron, Lia van Zuylen, Monique A.H. Steegers, Birkitt L. ten Tusscher, Margo M.C. van Mol, Lilian C.M. Vloet, and Bregje D. Onwuteaka-Philipsen
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ICU ,Family support ,Decision-making ,Quality of life ,COVID-19 ,Critical care ,Computer applications to medicine. Medical informatics ,R858-859.7 - Abstract
Abstract Background In the intensive care unit (ICU) relatives play a crucial role as surrogate decision-makers, since most patients cannot communicate due to their illness and treatment. Their level of involvement in decision-making can affect their psychological well-being. During the COVID-19 pandemic, relatives’ involvement probably changed. We aim to investigate relatives’ involvement in decision-making in the ICU before and during the pandemic and their experiences and preferences in this regard. Methods A mixed-methods study among relatives of ICU patients admitted to an ICU before or during the COVID-19 pandemic. Relatives in six ICUs completed a questionnaire (n = 329), including two items on decision-making. These were analysed using descriptive statistics and logistic regression analyses. Subsequently, relatives (n = 24) were interviewed about their experiences and preferences regarding decision-making. Thematic analysis was used for analysing the qualitative data. Results Nearly 55% of the relatives indicated they were at least occasionally asked to be involved in important treatment decisions and of these relatives 97.1% reported to have had enough time to discuss questions and concerns when important decisions were to be made. During the first COVID-19 wave relatives were significantly less likely to be involved in decision-making compared to relatives from pre-COVID-19. The interviews showed that involvement varied from being informed about an already made decision to deliberation about the best treatment option. Preferences for involvement also varied, with some relatives preferring no involvement due to a perceived lack of expertise and others preferring an active role as the patient’s advocate. Discussing a patient’s quality of life was appreciated by relatives, and according to relatives healthcare professionals also found this valuable. In some cases the preferred and actual involvement was in discordance, preferring either a larger or a smaller role. Conclusions As treatment alignment with a patient’s values and preferences and accordance between preferred and actual involvement in decision-making is very important, we suggest that the treatment decision-making process should start with discussions about a patient’s quality of life, followed by tailoring the process to relatives’ preferences as much as possible. Healthcare professionals should be aware of relatives’ heterogeneous and possibly changing preferences regarding the decision-making process.
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- 2024
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8. A relational framework for microbiome research with Indigenous communities
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Bader, Alyssa C., Van Zuylen, Essie M., Handsley-Davis, Matilda, Alegado, Rosanna A., Benezra, Amber, Pollet, Rebecca M., Ehau-Taumaunu, Hanareia, Weyrich, Laura S., and Anderson, Matthew Z.
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- 2023
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9. Improving the Accessibility of Scientific Documents: Current State, User Needs, and a System Solution to Enhance Scientific PDF Accessibility for Blind and Low Vision Users
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Wang, Lucy Lu, Cachola, Isabel, Bragg, Jonathan, Cheng, Evie Yu-Yen, Haupt, Chelsea, Latzke, Matt, Kuehl, Bailey, van Zuylen, Madeleine, Wagner, Linda, and Weld, Daniel S.
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Computer Science - Digital Libraries ,Computer Science - Human-Computer Interaction - Abstract
The majority of scientific papers are distributed in PDF, which pose challenges for accessibility, especially for blind and low vision (BLV) readers. We characterize the scope of this problem by assessing the accessibility of 11,397 PDFs published 2010--2019 sampled across various fields of study, finding that only 2.4% of these PDFs satisfy all of our defined accessibility criteria. We introduce the SciA11y system to offset some of the issues around inaccessibility. SciA11y incorporates several machine learning models to extract the content of scientific PDFs and render this content as accessible HTML, with added novel navigational features to support screen reader users. An intrinsic evaluation of extraction quality indicates that the majority of HTML renders (87%) produced by our system have no or only some readability issues. We perform a qualitative user study to understand the needs of BLV researchers when reading papers, and to assess whether the SciA11y system could address these needs. We summarize our user study findings into a set of five design recommendations for accessible scientific reader systems. User response to SciA11y was positive, with all users saying they would be likely to use the system in the future, and some stating that the system, if available, would become their primary workflow. We successfully produce HTML renders for over 12M papers, of which an open access subset of 1.5M are available for browsing at https://scia11y.org/, Comment: 44 pages, 11 figures, 10 tables, 4 appendices; accessible PDF is available at https://llwang.net/publications/2021_wang_scia11y.pdf
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- 2021
10. MS2: Multi-Document Summarization of Medical Studies
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DeYoung, Jay, Beltagy, Iz, van Zuylen, Madeleine, Kuehl, Bailey, and Wang, Lucy Lu
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Computer Science - Computation and Language ,Computer Science - Artificial Intelligence ,Computer Science - Machine Learning - Abstract
To assess the effectiveness of any medical intervention, researchers must conduct a time-intensive and highly manual literature review. NLP systems can help to automate or assist in parts of this expensive process. In support of this goal, we release MS^2 (Multi-Document Summarization of Medical Studies), a dataset of over 470k documents and 20k summaries derived from the scientific literature. This dataset facilitates the development of systems that can assess and aggregate contradictory evidence across multiple studies, and is the first large-scale, publicly available multi-document summarization dataset in the biomedical domain. We experiment with a summarization system based on BART, with promising early results. We formulate our summarization inputs and targets in both free text and structured forms and modify a recently proposed metric to assess the quality of our system's generated summaries. Data and models are available at https://github.com/allenai/ms2, Comment: 8 pages of content, 20 pages including references and appendix. See https://github.com/allenai/ms2/ for code, https://ai2-s2-ms2.s3-us-west-2.amazonaws.com/ms_data_2021-04-12.zip for data (1.8G, zipped) Published in EMNLP 2021 @ https://aclanthology.org/2021.emnlp-main.594/
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- 2021
11. Support for relatives in the intensive care unit: lessons from a cross-sectional multicentre cohort study during the COVID-19 pandemic
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Sophie C. Renckens, H. Roeline Pasman, Hanna T. Klop, Chantal du Perron, Lia van Zuylen, Monique A. H. Steegers, Birkitt L. ten Tusscher, Floor C. H. Abbink, Wouter de Ruijter, Lilian C. M. Vloet, Stephanie C. E. Koster, and Bregje D. Onwuteaka-Philipsen
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Family Centred Care ,COVID-19 ,Relatives ,Critical care ,Family support ,ICU ,Public aspects of medicine ,RA1-1270 - Abstract
Abstract Background Support for relatives is highly important in the intensive care unit (ICU). During the first COVID-19 wave support for relatives had to be changed considerably. The alternative support could have decreased the quality and sense of support. We aimed to evaluate how support for relatives in Dutch ICUs was organised during the first COVID-19 wave and how this was experienced by these relatives in comparison to relatives from pre-COVID-19 and the second wave. Additionally, we aimed to investigate which elements of support are associated with positive experiences. Methods We performed a cross-sectional multicentre cohort study in six Dutch ICUs in the Netherlands. Written questionnaires were distributed among relatives of ICU patients from pre-COVID-19, the first wave and the second wave. The questionnaire included questions on demographics, the organisation of support, and the experiences and satisfaction of relatives with the support. Results A total of 329 relatives completed the questionnaire (52% partner, 72% woman and 63% ICU stay of 11 days or longer). Support for relatives of ICU patients during the first COVID-19 wave differed significantly from pre-COVID-19 and the second wave. Differences were found in all categories of elements of support: who, when, how and what. Overall, relatives from the three time periods were very positive about the support. The only difference in satisfaction between the three time periods, was the higher proportion of relatives indicating that healthcare professionals had enough time for them during the first wave. Elements of support which were associated with many positive experiences and satisfaction were: fixed timeslot, receiving information (e.g. leaflets) on ≥ 2 topics, discussing > 5 topics with healthcare professionals, and being offered emotional support. Conclusions Although, support for relatives in the ICU changed considerably during the COVID-19 pandemic, relatives were still positive about this support. The altered support gave insight into avenues for improvement for future comparable situations as well as for normal daily ICU practice: e.g. daily contact at a fixed timeslot, offering video calling between patients and relatives, and offering emotional support. ICUs should consider which elements need improvement in their practice.
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- 2023
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12. MedICaT: A Dataset of Medical Images, Captions, and Textual References
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Subramanian, Sanjay, Wang, Lucy Lu, Mehta, Sachin, Bogin, Ben, van Zuylen, Madeleine, Parasa, Sravanthi, Singh, Sameer, Gardner, Matt, and Hajishirzi, Hannaneh
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Computation and Language - Abstract
Understanding the relationship between figures and text is key to scientific document understanding. Medical figures in particular are quite complex, often consisting of several subfigures (75% of figures in our dataset), with detailed text describing their content. Previous work studying figures in scientific papers focused on classifying figure content rather than understanding how images relate to the text. To address challenges in figure retrieval and figure-to-text alignment, we introduce MedICaT, a dataset of medical images in context. MedICaT consists of 217K images from 131K open access biomedical papers, and includes captions, inline references for 74% of figures, and manually annotated subfigures and subcaptions for a subset of figures. Using MedICaT, we introduce the task of subfigure to subcaption alignment in compound figures and demonstrate the utility of inline references in image-text matching. Our data and code can be accessed at https://github.com/allenai/medicat., Comment: EMNLP-Findings 2020
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- 2020
13. Extracting a Knowledge Base of Mechanisms from COVID-19 Papers
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Hope, Tom, Amini, Aida, Wadden, David, van Zuylen, Madeleine, Parasa, Sravanthi, Horvitz, Eric, Weld, Daniel, Schwartz, Roy, and Hajishirzi, Hannaneh
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Computer Science - Computation and Language ,Computer Science - Information Retrieval ,Computer Science - Machine Learning - Abstract
The COVID-19 pandemic has spawned a diverse body of scientific literature that is challenging to navigate, stimulating interest in automated tools to help find useful knowledge. We pursue the construction of a knowledge base (KB) of mechanisms -- a fundamental concept across the sciences encompassing activities, functions and causal relations, ranging from cellular processes to economic impacts. We extract this information from the natural language of scientific papers by developing a broad, unified schema that strikes a balance between relevance and breadth. We annotate a dataset of mechanisms with our schema and train a model to extract mechanism relations from papers. Our experiments demonstrate the utility of our KB in supporting interdisciplinary scientific search over COVID-19 literature, outperforming the prominent PubMed search in a study with clinical experts., Comment: Accepted to NAACL 2021 (long paper). Tom Hope and Aida Amini made an equal contribution. Data and code: https://git.io/JUhv7
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- 2020
14. SciREX: A Challenge Dataset for Document-Level Information Extraction
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Jain, Sarthak, van Zuylen, Madeleine, Hajishirzi, Hannaneh, and Beltagy, Iz
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Computer Science - Computation and Language ,Computer Science - Information Retrieval ,Computer Science - Machine Learning - Abstract
Extracting information from full documents is an important problem in many domains, but most previous work focus on identifying relationships within a sentence or a paragraph. It is challenging to create a large-scale information extraction (IE) dataset at the document level since it requires an understanding of the whole document to annotate entities and their document-level relationships that usually span beyond sentences or even sections. In this paper, we introduce SciREX, a document level IE dataset that encompasses multiple IE tasks, including salient entity identification and document level $N$-ary relation identification from scientific articles. We annotate our dataset by integrating automatic and human annotations, leveraging existing scientific knowledge resources. We develop a neural model as a strong baseline that extends previous state-of-the-art IE models to document-level IE. Analyzing the model performance shows a significant gap between human performance and current baselines, inviting the community to use our dataset as a challenge to develop document-level IE models. Our data and code are publicly available at https://github.com/allenai/SciREX, Comment: ACL2020 Camera Ready Submission, Work done by first authors while interning at AI2
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- 2020
15. Fact or Fiction: Verifying Scientific Claims
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Wadden, David, Lin, Shanchuan, Lo, Kyle, Wang, Lucy Lu, van Zuylen, Madeleine, Cohan, Arman, and Hajishirzi, Hannaneh
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Computer Science - Computation and Language - Abstract
We introduce scientific claim verification, a new task to select abstracts from the research literature containing evidence that SUPPORTS or REFUTES a given scientific claim, and to identify rationales justifying each decision. To study this task, we construct SciFact, a dataset of 1.4K expert-written scientific claims paired with evidence-containing abstracts annotated with labels and rationales. We develop baseline models for SciFact, and demonstrate that simple domain adaptation techniques substantially improve performance compared to models trained on Wikipedia or political news. We show that our system is able to verify claims related to COVID-19 by identifying evidence from the CORD-19 corpus. Our experiments indicate that SciFact will provide a challenging testbed for the development of new systems designed to retrieve and reason over corpora containing specialized domain knowledge. Data and code for this new task are publicly available at https://github.com/allenai/scifact. A leaderboard and COVID-19 fact-checking demo are available at https://scifact.apps.allenai.org., Comment: EMNLP 2020. GitHub: https://github.com/allenai/scifact. Leaderboard and demo: https://scifact.apps.allenai.org
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- 2020
16. Potentially inappropriate end-of-life care and its association with relatives’ well-being: a systematic review
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Ham, Laurien, Slotman, Ellis, Burghout, Carolien, Raijmakers, Natasja JH, van de Poll-Franse, Lonneke V, van Zuylen, Lia, and Fransen, Heidi P
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- 2023
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17. Support for relatives in the intensive care unit: lessons from a cross-sectional multicentre cohort study during the COVID-19 pandemic
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Renckens, Sophie C., Pasman, H. Roeline, Klop, Hanna T., du Perron, Chantal, van Zuylen, Lia, Steegers, Monique A. H., ten Tusscher, Birkitt L., Abbink, Floor C. H., de Ruijter, Wouter, Vloet, Lilian C. M., Koster, Stephanie C. E., and Onwuteaka-Philipsen, Bregje D.
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- 2023
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18. Magnesium hydroxide versus macrogol/electrolytes in the prevention of opioid-induced constipation in incurable cancer patients: study protocol for an open-label, randomized controlled trial (the OMAMA study)
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Kistemaker, K.R.J., de Graeff, A., Crul, M., de Klerk, G., van de Ven, P.M., van der Meulen, M.P., van Zuylen, L., and Steegers, M.A.H.
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- 2023
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19. Moral distress and positive experiences of ICU staff during the COVID-19 pandemic: lessons learned
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Mark L. van Zuylen, Janine C. de Snoo-Trimp, Suzanne Metselaar, Dave A. Dongelmans, and Bert Molewijk
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COVID-19 ,Intensive care ,Critical care ,Multidisciplinary ,Medical ethics ,Moral challenges ,Medical philosophy. Medical ethics ,R723-726 - Abstract
Abstract Background The COVID-19 pandemic causes moral challenges and moral distress for healthcare professionals and, due to an increased work load, reduces time and opportunities for clinical ethics support services. Nevertheless, healthcare professionals could also identify essential elements to maintain or change in the future, as moral distress and moral challenges can indicate opportunities to strengthen moral resilience of healthcare professionals and organisations. This study describes 1) the experienced moral distress, challenges and ethical climate concerning end-of-life care of Intensive Care Unit staff during the first wave of the COVID-19 pandemic and 2) their positive experiences and lessons learned, which function as directions for future forms of ethics support. Methods A cross-sectional survey combining quantitative and qualitative elements was sent to all healthcare professionals who worked at the Intensive Care Unit of the Amsterdam UMC - Location AMC during the first wave of the COVID-19 pandemic. The survey consisted of 36 items about moral distress (concerning quality of care and emotional stress), team cooperation, ethical climate and (ways of dealing with) end-of-life decisions, and two open questions about positive experiences and suggestions for work improvement. Results All 178 respondents (response rate: 25–32%) showed signs of moral distress, and experienced moral dilemmas in end-of-life decisions, whereas they experienced a relatively positive ethical climate. Nurses scored significantly higher than physicians on most items. Positive experiences were mostly related to ‘team cooperation’, ‘team solidarity’ and ‘work ethic’. Lessons learned were mostly related to ‘quality of care’ and ‘professional qualities’. Conclusions Despite the crisis, positive experiences related to ethical climate, team members and overall work ethic were reported by Intensive Care Unit staff and quality and organisation of care lessons were learned. Ethics support services can be tailored to reflect on morally challenging situations, restore moral resilience, create space for self-care and strengthen team spirit. This can improve healthcare professionals’ dealing of inherent moral challenges and moral distress in order to strengthen both individual and organisational moral resilience. Trial registration The trial was registered on The Netherlands Trial Register, number NL9177.
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- 2023
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20. A duality based 2-approximation algorithm for maximum agreement forest
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Olver, Neil, Schalekamp, Frans, van der Ster, Suzanne, Stougie, Leen, and van Zuylen, Anke
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- 2023
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21. Structural Scaffolds for Citation Intent Classification in Scientific Publications
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Cohan, Arman, Ammar, Waleed, van Zuylen, Madeleine, and Cady, Field
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Computer Science - Computation and Language - Abstract
Identifying the intent of a citation in scientific papers (e.g., background information, use of methods, comparing results) is critical for machine reading of individual publications and automated analysis of the scientific literature. We propose structural scaffolds, a multitask model to incorporate structural information of scientific papers into citations for effective classification of citation intents. Our model achieves a new state-of-the-art on an existing ACL anthology dataset (ACL-ARC) with a 13.3% absolute increase in F1 score, without relying on external linguistic resources or hand-engineered features as done in existing methods. In addition, we introduce a new dataset of citation intents (SciCite) which is more than five times larger and covers multiple scientific domains compared with existing datasets. Our code and data are available at: https://github.com/allenai/scicite., Comment: NAACL 2019
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- 2019
22. Magnesium hydroxide versus macrogol/electrolytes in the prevention of opioid-induced constipation in incurable cancer patients: study protocol for an open-label, randomized controlled trial (the OMAMA study)
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K.R.J. Kistemaker, A. de Graeff, M. Crul, G. de Klerk, P.M. van de Ven, M.P. van der Meulen, L. van Zuylen, and M.A.H. Steegers
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Opioids ,Constipation ,Magnesium hydroxide ,Macrogol/electrolytes ,Laxative ,Cancer ,Special situations and conditions ,RC952-1245 - Abstract
Abstract Background Opioid-induced constipation (OIC) is a common symptom in cancer patients treated with opioids with a prevalence of up to 59%. International guidelines recommend standard laxatives such as macrogol/electrolytes and magnesium hydroxide to prevent OIC, although evidence from randomized controlled trials is largely lacking. The aim of our study is to compare magnesium hydroxide with macrogol /electrolytes in the prevention of OIC in patients with incurable cancer and to compare side-effects, tolerability and cost-effectiveness. Methods Our study is an open-label, randomized, multicenter study to examine if magnesium hydroxide is non-inferior to macrogol/electrolytes in the prevention of OIC. In total, 330 patients with incurable cancer, starting with opioids for pain management, will be randomized to treatment with either macrogol/electrolytes or magnesium hydroxide. The primary outcome measure is the proportion of patients with a score of
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- 2023
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23. The Options for Neuraxial Drug Administration
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Hermanns, Henning, Bos, Elke M. E., van Zuylen, Mark L., Hollmann, Markus W., and Stevens, Markus F.
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- 2022
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24. Elevated cerebrospinal fluid glucose levels and diabetes mellitus are associated with activation of the neurotoxic polyol pathway
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Tigchelaar, Celien, van Zuylen, Mark L., Hulst, Abraham H., Preckel, Benedikt, van Beek, André P., Kema, Ido P., Hermanides, Jeroen, and Absalom, Anthony R.
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- 2022
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25. A Duality Based 2-Approximation Algorithm for Maximum Agreement Forest
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Olver, Neil, Schalekamp, Frans, van der Ster, Suzanne, Stougie, Leen, and van Zuylen, Anke
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Computer Science - Data Structures and Algorithms ,68W25, 90C27, 92D15 - Abstract
We give a 2-approximation algorithm for the Maximum Agreement Forest problem on two rooted binary trees. This NP-hard problem has been studied extensively in the past two decades, since it can be used to compute the rooted Subtree Prune-and-Regraft (rSPR) distance between two phylogenetic trees. Our algorithm is combinatorial and its running time is quadratic in the input size. To prove the approximation guarantee, we construct a feasible dual solution for a novel linear programming formulation. In addition, we show this linear program is stronger than previously known formulations, and we give a compact formulation, showing that it can be solved in polynomial time
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- 2018
26. Construction of the Literature Graph in Semantic Scholar
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Ammar, Waleed, Groeneveld, Dirk, Bhagavatula, Chandra, Beltagy, Iz, Crawford, Miles, Downey, Doug, Dunkelberger, Jason, Elgohary, Ahmed, Feldman, Sergey, Ha, Vu, Kinney, Rodney, Kohlmeier, Sebastian, Lo, Kyle, Murray, Tyler, Ooi, Hsu-Han, Peters, Matthew, Power, Joanna, Skjonsberg, Sam, Wang, Lucy Lu, Wilhelm, Chris, Yuan, Zheng, van Zuylen, Madeleine, and Etzioni, Oren
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Computer Science - Computation and Language - Abstract
We describe a deployed scalable system for organizing published scientific literature into a heterogeneous graph to facilitate algorithmic manipulation and discovery. The resulting literature graph consists of more than 280M nodes, representing papers, authors, entities and various interactions between them (e.g., authorships, citations, entity mentions). We reduce literature graph construction into familiar NLP tasks (e.g., entity extraction and linking), point out research challenges due to differences from standard formulations of these tasks, and report empirical results for each task. The methods described in this paper are used to enable semantic features in www.semanticscholar.org, Comment: To appear in NAACL 2018 industry track
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- 2018
27. A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications
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Kang, Dongyeop, Ammar, Waleed, Dalvi, Bhavana, van Zuylen, Madeleine, Kohlmeier, Sebastian, Hovy, Eduard, and Schwartz, Roy
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Computer Science - Computation and Language ,Computer Science - Artificial Intelligence - Abstract
Peer reviewing is a central component in the scientific publishing process. We present the first public dataset of scientific peer reviews available for research purposes (PeerRead v1) providing an opportunity to study this important artifact. The dataset consists of 14.7K paper drafts and the corresponding accept/reject decisions in top-tier venues including ACL, NIPS and ICLR. The dataset also includes 10.7K textual peer reviews written by experts for a subset of the papers. We describe the data collection process and report interesting observed phenomena in the peer reviews. We also propose two novel NLP tasks based on this dataset and provide simple baseline models. In the first task, we show that simple models can predict whether a paper is accepted with up to 21% error reduction compared to the majority baseline. In the second task, we predict the numerical scores of review aspects and show that simple models can outperform the mean baseline for aspects with high variance such as 'originality' and 'impact'., Comment: NAACL 2018
- Published
- 2018
28. Cost-Utility of the eHealth Application ‘Oncokompas’, Supporting Incurably Ill Cancer Patients to Self-Manage Their Cancer-Related Symptoms: Results of a Randomized Controlled Trial
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Anouk S. Schuit, Karen Holtmaat, Veerle M. H. Coupé, Simone E. J. Eerenstein, Josée M. Zijlstra, Corien Eeltink, Annemarie Becker-Commissaris, Lia van Zuylen, Myra E. van Linde, C. Willemien Menke-van der Houven van Oordt, Dirkje W. Sommeijer, Nol Verbeek, Koop Bosscha, Rishi Nandoe Tewarie, Robert-Jan Sedee, Remco de Bree, Alexander de Graeff, Filip de Vos, Pim Cuijpers, Irma M. Verdonck-de Leeuw, and Femke Jansen
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palliative care ,eHealth ,cost-utility analysis ,cost evaluation ,incurable cancer ,quality of life ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Evidence on the cost-effectiveness of eHealth in palliative care is scarce. Oncokompas, a fully automated behavioral intervention technology, aims to support self-management in cancer patients. This study aimed to assess the cost-utility of the eHealth application Oncokompas among incurably ill cancer patients, compared to care as usual. In this randomized controlled trial, patients were randomized into the intervention group (access to Oncokompas) or the waiting-list control group (access after three months). Healthcare costs, productivity losses, and health status were measured at baseline and three months. Intervention costs were also taken into account. Non-parametric bootstrapping with 5000 replications was used to obtain 95% confidence intervals around the incremental costs and quality-adjusted life years (QALYs). A probabilistic approach was used because of the skewness of cost data. Altogether, 138 patients completed the baseline questionnaire and were randomly assigned to the intervention group (69) or the control group (69). In the base case analysis, mean total costs and mean total effects were non-significantly lower in the intervention group (−€806 and −0.01 QALYs). The probability that the intervention was more effective and less costly was 4%, whereas the probability of being less effective and less costly was 74%. Among patients with incurable cancer, Oncokompas does not impact incremental costs and seems slightly less effective in terms of QALYs, compared to care as usual. Future research on the costs of eHealth in palliative cancer care is warranted to assess the generalizability of the findings of this study.
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- 2022
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29. Layers and Matroids for the Traveling Salesman's Paths
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Schalekamp, Frans, Sebő, András, Traub, Vera, and van Zuylen, Anke
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Computer Science - Discrete Mathematics ,Mathematics - Combinatorics - Abstract
Gottschalk and Vygen proved that every solution of the subtour elimination linear program for traveling salesman paths is a convex combination of more and more restrictive "generalized Gao-trees". We give a short proof of this fact, as a layered convex combination of bases of a sequence of increasingly restrictive matroids. A strongly polynomial, combinatorial algorithm follows for finding this convex combination, which is a new tool offering polyhedral insight, already instrumental in recent results for the $s-t$ path TSP.
- Published
- 2017
30. Family support on intensive care units during the COVID-19 pandemic: a qualitative evaluation study into experiences of relatives
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Hanna T. Klop, Mana Nasori, Tjitske W. Klinge, Rianne Hoopman, Mirjam A. de Vos, Chantal du Perron, Lia van Zuylen, Monique Steegers, Birkitt L. ten Tusscher, Floor C. H. Abbink, Bregje D. Onwuteaka-Philipsen, and H. Roeline W. Pasman
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COVID-19 ,Critical care ,Family centred care ,Family support ,Health care innovation ,ICU ,Public aspects of medicine ,RA1-1270 - Abstract
Abstract Background During the first peak of the COVID-19 pandemic in the Netherlands, relatives of patients with COVID-19 admitted to Intensive Care Units (ICUs) were severely restricted in visiting their relatives and in communicating with treating physicians. Family communication is a core element of critical care, however, this pandemic forced medical ICU staff to arrange alternative family support for instance by Family Support Teams (FSTs), consisting of non-ICU affiliated staff who telephonically contacted relatives. This study aims to examine relatives’ experiences with FSTs on two ICUs of a Dutch university medical centre, and to evaluate its working strategies. . Methods In a semi-structured interview study, relatives of patients with COVID-19 admitted to ICU’s, who had been supported by the FSTs, were sampled purposively. Twenty-one interviews were conducted telephonically by three researchers. All interviews were topic list guided and audio-recorded. Data was analysed thematically. Results All participants indicated they went through a rough time. Almost all evaluated the FSTs positively. Four major themes were identified. First, three important pillars of the FSTs were providing relatives with transparency about the patients’ situation, providing attention to relatives’ well-being, and providing predictability and certainty by calling on a daily basis in a period characterised by insecurity. Second, relatives appeared to fulfil their information needs by calls of the FSTs, but also by calling the attending ICU nurse. Information provided by the FSTs was associated with details and reliability, information provided by nurses was associated with the patient’s daily care. Third, being a primary family contact was generally experienced as both valuable and as an emotional burden. Last, participants missed proper aftercare. Family support often stopped directly after the patient died or had left the ICU. Relatives expressed a need for extended support after that moment since they had strong emotions after discharge or death of the patient. Conclusions Family support in times of the extreme COVID-19 situation is important, as relatives are restricted in communication and have a strong need for information and support. Relatives feel encouraged by structure, frequency, support and understanding by FSTs. However, remote family support should be tailored to the needs of relatives. A fixed contact person on de ICU and video calling might be good extra options for family support, also in future post COVID-19 care, but cannot replace physical visits.
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- 2021
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31. The Salesman's Improved Paths: 3/2+1/34 Integrality Gap and Approximation Ratio
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Sebő, András and van Zuylen, Anke
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Computer Science - Discrete Mathematics ,Computer Science - Data Structures and Algorithms ,Mathematics - Combinatorics - Abstract
We give a new, strongly polynomial-time algorithm and improved analysis for the metric $s-t$ path TSP. It finds a tour of cost less than 1.53 times the optimum of the subtour elimination LP, while known examples show that 1.5 is a lower bound for the integrality gap. A key new idea is the deletion of some edges of Christofides' trees, which is then accompanied by novel arguments of the analysis: edge-deletion disconnects the trees, which are then partly reconnected by `parity correction'. We show that the arising `connectivity correction' can be achieved for a minor extra cost. On the one hand this algorithm and analysis extend previous tools such as the best-of-many Christofides algorithm. On the other hand, powerful new tools are solicited, such as a flow problem for analyzing the reconnection cost, and the construction of a set of more and more restrictive spanning trees, each of which can still be found by the greedy algorithm. We show that these trees can replace the convex combination of spanning trees in the best-of-may Christofides algorithm. These new methods lead to improving the integrality ratio and approximation guarantee below 1.53, as it is already sketched in the preliminary shortened version of this article that appeared in FOCS 2016. The algorithm and analysis have been significantly simplified in the current article, and details of proofs and explanations have been added.
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- 2016
32. Use of antithrombotics at the end of life: an in-depth chart review study
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Bregje A.A. Huisman, Eric C.T. Geijteman, Jimmy J. Arevalo, Marianne K. Dees, Lia van Zuylen, Karolina M. Szadek, Agnes van der Heide, and Monique A.H. Steegers
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Palliative Care ,End-of-life care ,Bleeding ,Anticoagulants ,Venous thromboembolism ,Special situations and conditions ,RC952-1245 - Abstract
Abstract Background Antithrombotics are frequently prescribed for patients with a limited life expectancy. In the last phase of life, when treatment is primarily focused on optimizing patients’ quality of life, the use of antithrombotics should be reconsidered. Methods We performed a secondary analysis of a retrospective review of 180 medical records of patients who had died of a malignant or non-malignant disease, at home, in a hospice or in a hospital, in the Netherlands. All medication prescriptions and clinical notes of patients using antithrombotics in the last three months of life were reviewed manually. We subsequently developed case vignettes based on a purposive sample, with variation in setting, age, gender, type of medication, and underlying disease. Results In total 60% (n=108) of patients had used antithrombotics in the last three months of life. Of all patients using antithrombotics 33.3 % died at home, 21.3 % in a hospice and 45.4 % in a hospital. In total, 157 antithrombotic prescriptions were registered; 30 prescriptions of vitamin K antagonists, 60 of heparins, and 66 of platelet aggregation inhibitors. Of 51 patients using heparins, 32 only received a prophylactic dose. In 75.9 % of patients antithrombotics were continued until the last week before death. Case vignettes suggest that inability to swallow, bleeding complications or the dying phase were important factors in making decisions about the use of antithrombotics. Conclusions Antithrombotics in patients with a life limiting disease are often continued until shortly before death. Clinical guidance may support physicians to reconsider (dis)continuation of antithrombotics and discuss this with the patient.
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- 2021
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33. Live well, die well – an international cohort study on experiences, concerns and preferences of patients in the last phase of life: the research protocol of the iLIVE study
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Birgit H Rasmussen, Vilma Tripodoro, Gabriel Goldraij, John Ellershaw, Stephen Mason, Agnes van der Heide, Carin C D van der Rijt, Lia van Zuylen, Judit Simon, Michael Berger, Raymond Voltz, Melanie Joshi, Claudia Fischer, Katrin Ruth Sigurdardottir, Julia Strupp, Berivan Yildiz, Valgerdur Sigurdardottir, Hugo M van der Kuy, Steffen Eychmüller, Simon Allan, Rosemary Hughes, Tamsin Mcglinchey, Ida J Korfage, Carl Johan Fürst, Anne Goossensen, Mark Boughey, Dagny Faksvåg Haugen, Urska Lunder, Pilar Barnestein-Fonseca, Misa Bakan, Andri Christen, Gustavo G De Simone, Martina Egloff, Eline E C M Elsten, Eric C T Geijteman, Svandis Iris Halfdanardottir, Christel Hedman, Tanja Hoppe, Grethe Skorpen Iversen, Hana Kodba-Ceh, Nora Lüthi, Maria Luisa Martín-Roselló, Silvi Montilla, Inmaculada Ruiz-Torreras, Maria E C Schelin, Ruthmarijke Smeding, Kjersti Solvåg, Verónica I Veloso, Eva Vibora-Martin, and Sofia C Zambrano
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Medicine - Abstract
Introduction Adequately addressing the needs of patients at the end of life and their relatives is pivotal in preventing unnecessary suffering and optimising their quality of life. The purpose of the iLIVE study is to contribute to high-quality personalised care at the end of life in different countries and cultures, by investigating the experiences, concerns, preferences and use of care of terminally ill patients and their families.Methods and analysis The iLIVE study is an international cohort study in which patients with an estimated life expectancy of 6 months or less are followed up until they die. In total, 2200 patients will be included in 11 countries, that is, 200 per country. In addition, one relative per patient is invited to participate. All participants will be asked to fill in a questionnaire, at baseline and after 4 weeks. If a patient dies within 6 months of follow-up, the relative will be asked to fill in a post-bereavement questionnaire. Healthcare use in the last week of life will be evaluated as well; healthcare staff who attended the patient will be asked to fill in a brief questionnaire to evaluate the care that was provided. Qualitative interviews will be conducted with patients, relatives and healthcare professionals in all countries to gain more in-depth insights.Ethics and dissemination The cohort study has been approved by ethics committees and the institutional review boards (IRBs) of participating institutes in all countries. Results will be disseminated through the project website, publications in scientific journals and at conferences. Within the project, there will be a working group focusing on enhancing the engagement of the community at large with the reality of death and dying.Trial registration number NCT04271085.
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- 2022
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34. Efficacy of the eHealth application Oncokompas, facilitating incurably ill cancer patients to self-manage their palliative care needs: A randomized controlled trial
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Anouk S. Schuit, Karen Holtmaat, Birgit I. Lissenberg-Witte, Simone E.J. Eerenstein, Josée M. Zijlstra, Corien Eeltink, Annemarie Becker-Commissaris, Lia van Zuylen, Myra E. van Linde, C. Willemien Menke-van der Houven van Oordt, Dirkje W. Sommeijer, Nol Verbeek, Koop Bosscha, Rishi Nandoe Tewarie, Robert-Jan Sedee, Remco de Bree, Alexander de Graeff, Filip de Vos, Pim Cuijpers, and Irma M. Verdonck-de Leeuw
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eHealth ,Palliative care ,Supportive care ,Incurable cancer ,Psychosocial oncology ,Public aspects of medicine ,RA1-1270 - Abstract
Summary: Background: Many patients with incurable cancer have symptoms affecting their health-related quality of life. The eHealth application ‘Oncokompas’ supports patients to take an active role in managing their palliative care needs, to reduce symptoms and improve health-related quality of life (HRQOL). This randomized controlled trial was conducted to determine the efficacy of Oncokompas compared to care as usual among incurably ill cancer patients with a life expectancy of more than three months. Methods: Patients were recruited in six hospitals in the Netherlands. Eligible patients were randomly assigned to the intervention (direct access to Oncokompas) or the control group (access to Oncokompas after three months). The primary outcome measure was patient activation (i.e., patients’ knowledge, skills and confidence for self-management). Secondary outcomes were general self-efficacy and HRQOL. Measures were assessed at baseline, two weeks after randomization, and three months after the baseline measurement. Linear mixed models were used to compare longitudinal changes between both groups from baseline to the three-month follow-up. Findings: In total, 219 patients were eligible of which 138 patients completed the baseline questionnaire (response rate 63%), and were randomized to the intervention (69) or control group (69). There were no significant differences between the intervention and control group over time in patient activation (estimated difference in change T0-T2; 1·8 (90% CI: -1·0 to 4·7)), neither in general self-efficacy and HRQOL. Of the patients in the intervention group who activated their account, 74% used Oncokompas as intended. The course of patient activation, general self-efficacy, and HRQOL was not significantly different between patients who used Oncokompas as intended versus those who did not. Interpretation: Among incurably ill cancer patients with a life expectancy of more than three months and recruited in the hospital setting, Oncokompas did not significantly improve patient activation, self-efficacy, or HRQOL. Funding: ZonMw, Netherlands Organization for Health Research and Development (844001105).
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- 2022
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35. A Duality Based 2-Approximation Algorithm for Maximum Agreement Forest
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Schalekamp, Frans, van Zuylen, Anke, and van der Ster, Suzanne
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Computer Science - Data Structures and Algorithms - Abstract
We give a 2-approximation algorithm for the Maximum Agreement Forest problem on two rooted binary trees. This NP-hard problem has been studied extensively in the past two decades, since it can be used to compute the Subtree Prune-and-Regraft (SPR) distance between two phylogenetic trees. Our result improves on the very recent 2.5-approximation algorithm due to Shi, Feng, You and Wang (2015). Our algorithm is the first approximation algorithm for this problem that uses LP duality in its analysis.
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- 2015
36. Improved Approximations for Cubic and Cubic Bipartite TSP
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van Zuylen, Anke
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Computer Science - Data Structures and Algorithms ,F.2.2 - Abstract
We show improved approximation guarantees for the traveling salesman problem on cubic graphs, and cubic bipartite graphs. For cubic bipartite graphs with n nodes, we improve on recent results of Karp and Ravi (2014) by giving a simple "local improvement" algorithm that finds a tour of length at most 5/4 n - 2. For 2-connected cubic graphs, we show that the techniques of Moemke and Svensson (2011) can be combined with the techniques of Correa, Larre and Soto (2012), to obtain a tour of length at most (4/3-1/8754)n.
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- 2015
37. Development and implementation of a transmural palliative care consultation service: a multiple case study in the Netherlands
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Marijanne Engel, Arianne Stoppelenburg, Andrée van der Ark, Floor M. Bols, Johannis Bruggeman, Ellen C.J. Janssens-van Vliet, Johanna H. Kleingeld-van der Windt, Ingrid E. Pladdet, Angelique E.M.J. To-Baert, Lia van Zuylen, and Agnes van der Heide
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Palliative care ,Continuity of patient care ,Integrated care ,Hospitals ,Home care services ,Generalist palliative care ,Special situations and conditions ,RC952-1245 - Abstract
Abstract Background In the Netherlands, healthcare professionals attending patients in the last phase of life, can consult an expert palliative care team (PCT) in case of complex problems. There are two types of PCTs: regional PCTs, which are mainly consulted by general practitioners, and hospital PCTs, which are mainly consulted by healthcare professionals in the hospital. Integration of these PCTs is expected to facilitate continuity of care for patients receiving care in different settings. We studied facilitators and barriers in the process of developing and implementing an integrated transmural palliative care consultation service. Methods A multiple case study was performed in four palliative care networks in the southwest Netherlands. We aimed to develop an integrated transmural palliative care consultation service. Researchers were closely observing the process and participated in project team meetings. A within-case analysis was conducted for each network, using the Consolidated Framework for Implementation Research (CFIR). Subsequently, all findings were pooled. Results In each network, project team members thought that the core goal of a transmural consultation service is improvement of continuity of palliative care for patients throughout their illness trajectory. It was nevertheless a challenge for hospital and non-hospital healthcare professionals to arrive at a shared view on goals, activities and working procedures of the transmural consultation service. All project teams experienced the lack of evidence-based guidance on how to organise the service as a barrier. The role of the management of the involved care organisations was sometimes perceived as unsupportive, and different financial reimbursement systems for hospital and out-of-hospital care made implementation of a transmural consultation service complex. Three networks managed to develop and implement a transmural service at some level, one network did not manage to do so. Conclusions Healthcare professionals are motivated to collaborate in a transmural palliative care consultation service, because they believe it can contribute to high-quality palliative care. However, they need more shared views on goals and activities of a transmural consultation service, more guidance on organisational issues and appropriate financing. Further research is needed to provide evidence on benefits and costs of different models of integrated transmural palliative care consultation services.
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- 2021
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38. Palliative care nurse champions’ views on their role and impact: a qualitative interview study among hospital and home care nurses
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Marijanne Engel, Lia van Zuylen, Andrée van der Ark, and Agnes van der Heide
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Palliative care ,Hospitals ,Home care services ,Nurses ,Generalist palliative care ,Specialist palliative care ,Special situations and conditions ,RC952-1245 - Abstract
Abstract Background One of the strategies to promote the quality of palliative care in non-specialised settings is the appointment of palliative care nurse champions. It is unclear what the most effective model to implement the concept of nurse champions is and little is known about palliative care nurse champions’ own views on their role and responsibilities. This paper aims to describe views of palliative care nurse champions in hospitals and home care on their role, responsibilities and added value. Methods In 2018, a qualitative interview study was conducted with 16 palliative care nurse champions in two hospitals and four home care organisations in the southwest of the Netherlands. The framework approach was used to analyse the data. Results Most palliative care nurse champions described their role by explaining concrete tasks or activities. Most nurse champions perceive their main task as disseminating information about palliative care to colleagues. A few nurses mentioned activities aimed at raising awareness of palliative care among colleagues. Most nurses were to a limited extent involved in collaboration with the palliative care expert team. Hospital nurse champions suggested that more support from the palliative care expert team would be helpful. Most nurse champions feel little responsibility for organisational tasks and inter-organisational collaboration. Especially hospital nurses found it difficult to describe their role. Conclusion The role of palliative care nurse champions in hospital and home care varies a lot and nurses have diverging views on palliative care in these settings. Comprehensively fulfilling the role of palliative care nurse champion is a challenge. Careful selection, training, support and task descriptions for nurse champions are needed to make the concept of nurse champions work in palliative care.
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- 2021
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39. Detection of Ganciclovir-Resistant Cytomegalovirus in a Prospective Cohort of Kidney Transplant Recipients Receiving Subtherapeutic Valganciclovir Prophylaxis
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Diana D. Wong, Wendy J. van Zuylen, Talia Novos, Sophie Stocker, Stephanie E. Reuter, Jane Au, Charles S. P. Foster, Richard O. Day, Andrea R. Horvath, Zoltan Endre, and William D. Rawlinson
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ganciclovir ,pharmacokinetics ,cytomegalovirus ,organ transplant ,drug monitoring ,resistance ,Microbiology ,QR1-502 - Abstract
ABSTRACT Cytomegalovirus infection during antiviral prophylaxis occurs in transplant recipients despite individualized regimens based on renal function. Fifty kidney transplant recipients were assessed between 2016 and 2019 for valganciclovir dosing, ganciclovir exposure, cytomegalovirus infection, and genotypic resistance markers during the first year posttransplant. Ganciclovir plasma concentrations were measured using mass spectrometry. Population pharmacokinetics was used to determine individual ganciclovir exposure and to evaluate the ability of manufacturer dosing guidelines to meet therapeutic target daily area under the curve (AUC24) of 40 to 50 μg·h/mL. Full-length UL54 and UL97 were assessed using high-throughput sequencing in cytomegalovirus DNA-positive patient specimens. Valganciclovir doses administered to recipients with creatinine clearance of
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- 2022
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40. Scheduling over Scenarios on Two Machines
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Feuerstein, Esteban, Marchetti-Spaccamela, Alberto, Schalekamp, Frans, Sitters, Rene, van der Ster, Suzanne, Stougie, Leen, and van Zuylen, Anke
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Computer Science - Data Structures and Algorithms - Abstract
We consider scheduling problems over scenarios where the goal is to find a single assignment of the jobs to the machines which performs well over all possible scenarios. Each scenario is a subset of jobs that must be executed in that scenario and all scenarios are given explicitly. The two objectives that we consider are minimizing the maximum makespan over all scenarios and minimizing the sum of the makespans of all scenarios. For both versions, we give several approximation algorithms and lower bounds on their approximability. With this research into optimization problems over scenarios, we have opened a new and rich field of interesting problems., Comment: To appear in COCOON 2014. The final publication is available at link.springer.com
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- 2014
41. An Upper Bound on the Number of Circular Transpositions to Sort a Permutation
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van Zuylen, Anke, Bieron, James, Schalekamp, Frans, and Yu, Gexin
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Computer Science - Discrete Mathematics ,Mathematics - Combinatorics - Abstract
We consider the problem of upper bounding the number of circular transpositions needed to sort a permutation. It is well known that any permutation can be sorted using at most $n(n-1)/2$ adjacent transpositions. We show that, if we allow all adjacent transpositions, as well as the transposition that interchanges the element in position 1 with the element in the last position, then the number of transpositions needed is at most $n^2/4$. This answers an open question posed by Feng, Chitturi and Sudborough (2010).
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- 2014
42. Understanding relatives’ experience of death rattle
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Harriëtte J. van Esch, Martine E. Lokker, Judith Rietjens, Lia van Zuylen, Carin C. D. van der Rijt, and Agnes van der Heide
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Psychology ,BF1-990 - Abstract
Abstract Background Death rattle is a frequently occurring symptom in the last phase of life. The experience of death rattle of relatives has been found to vary. It is unclear if treatment with medication is useful. The most fitting solution for this symptom is still under debate. Aim This study aims to better understand the experience of relatives of their loved ones’ death rattle. Design A qualitative interview study with a phenomenological approach was performed. Data were collected through semi-structured interviews which were audio recorded, transcribed and analyzed using qualitative content analysis. Participants Nineteen family members of 15 patients were interviewed. Results Most relatives had experienced death rattle as a distressing symptom. Concerns about how long the rattling would last resulted in more distress. Experience of death rattle was less fierce when other symptoms such as pain or dyspnea prevailed. Hearing the sound of death rattle sometimes reminded relatives of previously witnessed dying trajectories, which seemed to increase their current level of distress. The experience of death rattle is not always influenced by the amount and quality of information given about the symptom. Conclusion Death rattle is a stressful symptom and the experience of relatives is influenced by more factors than the sound itself. Communication and information alone seem inefficient to address relatives’ distress. The best approach for dealing with this symptom is unclear. Further research needs to show if prophylactically given drugs may be helpful in its prevention.
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- 2020
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43. Role of nurses in medication management at the end of life: a qualitative interview study
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Bregje A. A. Huisman, Eric C. T. Geijteman, Marianne K. Dees, Noralie N. Schonewille, Margriet Wieles, Lia van Zuylen, Karolina M. Szadek, and Agnes van der Heide
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Nursing ,Palliative care ,End-of-life care ,Polypharmacy ,Drug therapy ,Medication therapy management ,Special situations and conditions ,RC952-1245 - Abstract
Abstract Background Patients in the last phase of their lives often use many medications. Physicians tend to lack awareness that reviewing the usefulness of medication at the end of patients’ lives is important. The aim of this study is to gain insight into the perspectives of patients, informal caregivers, nurses and physicians on the role of nurses in medication management at the end of life. Methods Semi-structured interviews were conducted with patients in the last phase of their lives, in hospitals, hospices and at home; and with their informal caregivers, nurses and physicians. Data were qualitatively analyzed using the constant comparative method. Results Seventy-six interviews were conducted, with 17 patients, 12 informal caregivers, 15 nurses, 20 (trainee) medical specialists and 12 family physicians. Participants agreed that the role of the nurse in medication management includes: 1) informing, 2) supporting, 3) representing and 4) involving the patient, their informal caregivers and physicians in medication management. Nurses have a particular role in continuity of care and proximity to the patient. They are expected to contribute to a multidimensional assessment and approach, which is important for promoting patients’ interest in medication management at the end of life. Conclusions We found that nurses can and should play an important role in medication management at the end of life by informing, supporting, representing and involving all relevant parties. Physicians should appreciate nurses’ input to optimize medication management in patients at the end of life. Health care professionals should recognize the role the nurses can have in promoting patients’ interest in medication management at the end of life. Nurses should be reinforced by education and training to take up this role.
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- 2020
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44. On Some Recent MAX SAT Approximation Algorithms
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Poloczek, Matthias, Williamson, David P., and van Zuylen, Anke
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Computer Science - Data Structures and Algorithms - Abstract
Recently a number of randomized 3/4-approximation algorithms for MAX SAT have been proposed that all work in the same way: given a fixed ordering of the variables, the algorithm makes a random assignment to each variable in sequence, in which the probability of assigning each variable true or false depends on the current set of satisfied (or unsatisfied) clauses. To our knowledge, the first such algorithm was proposed by Poloczek and Schnitger; Van Zuylen subsequently gave an algorithm that set the probabilities differently and had a simpler analysis. She also set up a framework for deriving such algorithms. Buchbinder, Feldman, Naor, and Schwartz, as a special case of their work on maximizing submodular functions, also give a randomized 3/4-approximation algorithm for MAX SAT with the same structure as these previous algorithms. In this note we give a gloss on the Buchbinder et al. algorithm that makes it even simpler, and show that in fact it is equivalent to the previous algorithm of Van Zuylen. We also show how it extends to a deterministic LP rounding algorithm; such an algorithm was also given by Van Zuylen.
- Published
- 2013
45. Palliative care nurse champions’ views on their role and impact: a qualitative interview study among hospital and home care nurses
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Engel, Marijanne, van Zuylen, Lia, van der Ark, Andrée, and van der Heide, Agnes
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- 2021
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46. Development and implementation of a transmural palliative care consultation service: a multiple case study in the Netherlands
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Engel, Marijanne, Stoppelenburg, Arianne, van der Ark, Andrée, Bols, Floor M., Bruggeman, Johannis, Janssens-van Vliet, Ellen C.J., Kleingeld-van der Windt, Johanna H., Pladdet, Ingrid E., To-Baert, Angelique E.M.J., van Zuylen, Lia, and van der Heide, Agnes
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- 2021
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47. Use of antithrombotics at the end of life: an in-depth chart review study
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Huisman, Bregje A.A., Geijteman, Eric C.T., Arevalo, Jimmy J., Dees, Marianne K., van Zuylen, Lia, Szadek, Karolina M., van der Heide, Agnes, and Steegers, Monique A.H.
- Published
- 2021
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48. Split Scheduling with Uniform Setup Times
- Author
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Schalekamp, Frans, Sitters, Rene, van der Ster, Suzanne, Stougie, Leen, Verdugo, Victor, and van Zuylen, Anke
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Computer Science - Data Structures and Algorithms - Abstract
We study a scheduling problem in which jobs may be split into parts, where the parts of a split job may be processed simultaneously on more than one machine. Each part of a job requires a setup time, however, on the machine where the job part is processed. During setup a machine cannot process or set up any other job. We concentrate on the basic case in which setup times are job-, machine-, and sequence-independent. Problems of this kind were encountered when modelling practical problems in planning disaster relief operations. Our main algorithmic result is a polynomial-time algorithm for minimising total completion time on two parallel identical machines. We argue why the same problem with three machines is not an easy extension of the two-machine case, leaving the complexity of this case as a tantalising open problem. We give a constant-factor approximation algorithm for the general case with any number of machines and a polynomial-time approximation scheme for a fixed number of machines. For the version with objective minimising weighted total completion time we prove NP-hardness. Finally, we conclude with an overview of the state of the art for other split scheduling problems with job-, machine-, and sequence-independent setup times.
- Published
- 2012
49. A Proof of the Boyd-Carr Conjecture
- Author
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Schalekamp, Frans, Williamson, David P., and van Zuylen, Anke
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Computer Science - Data Structures and Algorithms ,90C27, 90C59, 90C05 ,F.2.0 - Abstract
Determining the precise integrality gap for the subtour LP relaxation of the traveling salesman problem is a significant open question, with little progress made in thirty years in the general case of symmetric costs that obey triangle inequality. Boyd and Carr [3] observe that we do not even know the worst-case upper bound on the ratio of the optimal 2-matching to the subtour LP; they conjecture the ratio is at most 10/9. In this paper, we prove the Boyd-Carr conjecture. In the case that a fractional 2-matching has no cut edge, we can further prove that an optimal 2-matching is at most 10/9 times the cost of the fractional 2-matching.
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- 2011
50. On the Integrality Gap of the Subtour LP for the 1,2-TSP
- Author
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Qian, Jiawei, Schalekamp, Frans, Williamson, David P., and van Zuylen, Anke
- Subjects
Computer Science - Data Structures and Algorithms ,90C27, 90C59, 90C05 ,F.2.0 - Abstract
In this paper, we study the integrality gap of the subtour LP relaxation for the traveling salesman problem in the special case when all edge costs are either 1 or 2. For the general case of symmetric costs that obey triangle inequality, a famous conjecture is that the integrality gap is 4/3. Little progress towards resolving this conjecture has been made in thirty years. We conjecture that when all edge costs $c_{ij}\in \{1,2\}$, the integrality gap is $10/9$. We show that this conjecture is true when the optimal subtour LP solution has a certain structure. Under a weaker assumption, which is an analog of a recent conjecture by Schalekamp, Williamson and van Zuylen, we show that the integrality gap is at most $7/6$. When we do not make any assumptions on the structure of the optimal subtour LP solution, we can show that integrality gap is at most $5/4$; this is the first bound on the integrality gap of the subtour LP strictly less than $4/3$ known for an interesting special case of the TSP. We show computationally that the integrality gap is at most $10/9$ for all instances with at most 12 cities., Comment: Changes wrt previous version: upper bound on integrality gap improved to 5/4 (using the same techniques as in the previous version)
- Published
- 2011
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