131 Works
Cross-validation of correlation networks using modular structure
Magnus Neuman, Viktor Jonsson, Joaquín Calatayud & Martin Rosvall
Abstract Correlation networks derived from multivariate data appear in many applications across the sciences. These networks are usually dense and require sparsification to detect meaningful structure. However, current methods for sparsifying correlation networks struggle with balancing overfitting and underfitting. We propose a module-based cross-validation procedure to threshold these networks, making modular structure an integral part of the thresholding. We illustrate our approach using synthetic and real data and find that its ability to recover a...
Additional file 1 of Conducting research with young people at the margins – lessons learnt and shared through case studies in Cambodia, India, Sweden and Zambia
Frida Jonsson, Puthy Pat, Chama Mulubwa, Bhoomikumar Jegannathan & Kaaren Mathias
Additional file 1: Bespoke template to compile details about the projects that provided a basis for the analyses.
Conducting research with young people at the margins – lessons learnt and shared through case studies in Cambodia, India, Sweden and Zambia
Frida Jonsson, Puthy Pat, Chama Mulubwa, Bhoomikumar Jegannathan & Kaaren Mathias
Abstract Building on the value of engaging with and enabling the participation of marginalised young people in research, the aim of this article was to profile practical and procedural issues faced when conducting studies with young people who experience some form of marginalisation. Drawing on observations and research experiences from four diverse case studies involving young people who were either imprisoned in Cambodia, living in informal urban communities in North India, residing in rural northern...
Additional file 1 of The NORMAN Suspect List Exchange (NORMAN-SLE): facilitating European and worldwide collaboration on suspect screening in high resolution mass spectrometry
Hiba Mohammed Taha, Reza Aalizadeh, Nikiforos Alygizakis, Jean-Philippe Antignac, Hans Peter H. Arp, Richard Bade, Nancy Baker, Lidia Belova, Lubertus Bijlsma, Evan E. Bolton, Werner Brack, Alberto Celma, Wen-Ling Chen, Tiejun Cheng, Parviel Chirsir, Ľuboš Čirka, Lisa A. D’Agostino, Yannick Djoumbou Feunang, Valeria Dulio, Stellan Fischer, Pablo Gago-Ferrero, Aikaterini Galani, Birgit Geueke, Natalia Głowacka, Juliane Glüge … & Emma L. Schymanski
Additional file 1: Summary of the NORMAN-SLE datasets (CSV format) as of 4 May 2022 [81].
Additional file 3 of The NORMAN Suspect List Exchange (NORMAN-SLE): facilitating European and worldwide collaboration on suspect screening in high resolution mass spectrometry
Hiba Mohammed Taha, Reza Aalizadeh, Nikiforos Alygizakis, Jean-Philippe Antignac, Hans Peter H. Arp, Richard Bade, Nancy Baker, Lidia Belova, Lubertus Bijlsma, Evan E. Bolton, Werner Brack, Alberto Celma, Wen-Ling Chen, Tiejun Cheng, Parviel Chirsir, Ľuboš Čirka, Lisa A. D’Agostino, Yannick Djoumbou Feunang, Valeria Dulio, Stellan Fischer, Pablo Gago-Ferrero, Aikaterini Galani, Birgit Geueke, Natalia Głowacka, Juliane Glüge … & Emma L. Schymanski
Additional file 3: Summary of Zenodo view and download statistics, plus citations (CSV format) as of 28 April 2022 [235].
Additional file 4 of The NORMAN Suspect List Exchange (NORMAN-SLE): facilitating European and worldwide collaboration on suspect screening in high resolution mass spectrometry
Hiba Mohammed Taha, Reza Aalizadeh, Nikiforos Alygizakis, Jean-Philippe Antignac, Hans Peter H. Arp, Richard Bade, Nancy Baker, Lidia Belova, Lubertus Bijlsma, Evan E. Bolton, Werner Brack, Alberto Celma, Wen-Ling Chen, Tiejun Cheng, Parviel Chirsir, Ľuboš Čirka, Lisa A. D’Agostino, Yannick Djoumbou Feunang, Valeria Dulio, Stellan Fischer, Pablo Gago-Ferrero, Aikaterini Galani, Birgit Geueke, Natalia Głowacka, Juliane Glüge … & Emma L. Schymanski
Additional file 4: Summary of Zenodo citations plus DOIs per list (CSV format) as of 1 May 2022 [236].
Additional file 5 of The NORMAN Suspect List Exchange (NORMAN-SLE): facilitating European and worldwide collaboration on suspect screening in high resolution mass spectrometry
Hiba Mohammed Taha, Reza Aalizadeh, Nikiforos Alygizakis, Jean-Philippe Antignac, Hans Peter H. Arp, Richard Bade, Nancy Baker, Lidia Belova, Lubertus Bijlsma, Evan E. Bolton, Werner Brack, Alberto Celma, Wen-Ling Chen, Tiejun Cheng, Parviel Chirsir, Ľuboš Čirka, Lisa A. D’Agostino, Yannick Djoumbou Feunang, Valeria Dulio, Stellan Fischer, Pablo Gago-Ferrero, Aikaterini Galani, Birgit Geueke, Natalia Głowacka, Juliane Glüge … & Emma L. Schymanski
Additional file 5: Authorship contributions and acknowledgements mapped to NORMAN-SLE lists (XLSX format).
ICD harm and benefit: risk scores applied to the Swedish ICD-treated LQTS population
Emilia Sundström, Steen M. Jensen, Ulla-Britt Diamant, Urban Wiklund & Annika Rydberg
Objectives. The use of implantable cardioverter defibrillators (ICDs) in long QT syndrome (LQTS) patients is essential in high-risk patients. However, it is sometimes used in patients without high-risk profiles for whom the expected benefit may be lower than the risk of ICD harm. Here, we evaluated ICD benefit and harm by assessing risk according to risk scores and pre-ICD clinical characteristics. Design. We studied 109 Swedish LQTS patients drawn from the Swedish ICD and Pacemaker...
Source data for “The effects of water column dissolved oxygen concentrations on lake methane emissions: Results from a whole-lake oxygenation experiment”
Gustav Pajala, Henrique Oliveira Sawakuchi, David Rudberg, Jonathan Schenk, Anna Sieczko, David Seekell, Ingrid Sundgren, Thanh Duc Nguyen, Karlsson Jan & David Bastviken
Lakes represent a major global source of the greenhouse gas methane (CH4) to the atmosphere. Dissolved molecular oxygen (DO) in lakes inhibits production of CH4 and promotes CH4 oxidation. DO is therefore often considered an important regulator of CH4 emissions from lakes. Presence or absence of DO in the water overlying sediments can affect lake CH4 production and emissions in multiple ways, including the extent of CH4 production in the most reactive top sediment layer,...
Additional file 1 of Pan-cancer analysis of pre-diagnostic blood metabolite concentrations in the European Prospective Investigation into Cancer and Nutrition
Marie Breeur, Pietro Ferrari, Laure Dossus, Mazda Jenab, Mattias Johansson, Sabina Rinaldi, Ruth C. Travis, Mathilde His, Tim J. Key, Julie A. Schmidt, Kim Overvad, Anne Tjønneland, Cecilie Kyrø, Joseph A. Rothwell, Nasser Laouali, Gianluca Severi, Rudolf Kaaks, Verena Katzke, Matthias B. Schulze, Fabian Eichelmann, Domenico Palli, Sara Grioni, Salvatore Panico, Rosario Tumino, Carlotta Sacerdote … & Vivian Viallon
Additional file 1. Supplementary material regarding (i) the definition of cancer cases for HCC, GBC, Adv.PrC and Loc.PrC; (ii) the definition and implementation of the data-shared lasso; (iii) the models used to derive point estimates and confidence intervals from the model selected by the data-shared lasso; and (iv) the univariate analysis conducted for comparison.
Additional file 1 of Computational phenotyping of obstructive airway diseases: protocol for a systematic review
Muwada Bashir Awad Bashir, Rani Basna, Guo-Qiang Zhang, Helena Backman, Anne Lindberg, Linda Ekerljung, Malin Axelsson, Linnea Hedman, Lowie Vanfleteren, Bo Lundbäck, Eva Rönmark & Bright I. Nwaru
Additional file 1: Supplementary file 1. Supplemental: Databases search strategies.
Computational phenotyping of obstructive airway diseases: protocol for a systematic review
Muwada Bashir Awad Bashir, Rani Basna, Guo-Qiang Zhang, Helena Backman, Anne Lindberg, Linda Ekerljung, Malin Axelsson, Linnea Hedman, Lowie Vanfleteren, Bo Lundbäck, Eva Rönmark & Bright I. Nwaru
Abstract Background Over the last decade, computational sciences have contributed immensely to characterization of phenotypes of airway diseases, but it is difficult to compare derived phenotypes across studies, perhaps as a result of the different decisions that fed into these phenotyping exercises. We aim to perform a systematic review of studies using computational approaches to phenotype obstructive airway diseases in children and adults. Methods and analysis We will search PubMed, Embase, Scopus, Web of Science,...
Additional file 1 of The expression of stromal biomarkers in small papillary thyroid carcinomas
Haytham Bayadsi, George Barghout, Moa Gustafsson, Malin Sund & Joakim Hennings
Additional file 1: Supplementary Table 1. Gender comparison of the mean values of the distribution and total scores of the different stromal biomarkers (Col1, Col4, a-SMA and MMP-9) regarding the different tumour groups (N0T and N1T). No significant differences were found between males and females regarding the expression of stromal biomarkers.
Quantitative 3D OPT and LSFM datasets of pancreata from mice with streptozotocin-induced diabetes: Dataset 1
Max Hahn, Christoffer Nord, Pim P. Van Krieken, Per-Olof Berggren, Erwin Ilegems, Abbas Cheddad & Ulf Ahlgren
Mouse models for streptozotocin (STZ) induced diabetes probably represent the most widely used systems for preclinical diabetes research, owing to the compound’s toxic effect on pancreatic ß-cells. However, a comprehensive view of pancreatic β-cell mass distribution subject to STZ administration is lacking. Previous assessments have largely relied on the extrapolation of stereological sections, which provide limited 3D-spatial and quantitative information. This data descriptor presents multiple ex vivo tomographic optical image data sets of the full...
Qualitative longitudinal research in health research: a method study
Åsa Audulv, Elisabeth O. C. Hall, Åsa Kneck, Thomas Westergren, Liv Fegran, Mona Kyndi Pedersen, Hanne Aagaard, Kristianna Lund Dam & Mette Spliid Ludvigsen
Abstract Background Qualitative longitudinal research (QLR) comprises qualitative studies, with repeated data collection, that focus on the temporality (e.g., time and change) of a phenomenon. The use of QLR is increasing in health research since many topics within health involve change (e.g., progressive illness, rehabilitation). A method study can provide an insightful understanding of the use, trends and variations within this approach. The aim of this study was to map how QLR articles within the...
ICD harm and benefit: risk scores applied to the Swedish ICD-treated LQTS population
Emilia Sundström, Steen M. Jensen, Ulla-Britt Diamant, Urban Wiklund & Annika Rydberg
Objectives. The use of implantable cardioverter defibrillators (ICDs) in long QT syndrome (LQTS) patients is essential in high-risk patients. However, it is sometimes used in patients without high-risk profiles for whom the expected benefit may be lower than the risk of ICD harm. Here, we evaluated ICD benefit and harm by assessing risk according to risk scores and pre-ICD clinical characteristics. Design. We studied 109 Swedish LQTS patients drawn from the Swedish ICD and Pacemaker...
Phospholipase C is a novel regulator at the early stages of microspore embryogenesis in Nicotiana tabacum
Pan Luo, Aixi Jiang, Yi Zhou, Mingchun Yang, Xiaotong Zhou, Yong Yang, Jun Yu & Xingchun Tang
Microspore transfers the developmental fate into embryogenesis in vitro regulated by determinant factors of stress-induced. However, the key regulators of microspore embryogenesis (ME) are still largely undiscovered to reveal the mechanism of cell fate transition. Here, we report that Phospholipase C (PLC) is involved at the early stages of ME in Nicotiana tabacum. NtPLC2/3/4 are expressed at the initial stages of ME. The expression levels of NtPLC2/3 are transient activated after 3 days in culture,...
Experimentally increased snow depth affects High Arctic microarthropods inconsistently over two consecutive winters
Eveline Krab, Erik Lundin, Stephen Coulson, Ellen Dorrepaal & Elisabeth Cooper
Climate change induced alterations to winter conditions may affect decomposer organisms controlling the vast carbon stores in northern soils. Soil microarthropods are abundant decomposers in Arctic ecosystems affecting soil carbon release through their activities. We studied whether increased snow depth affected microarthropods, and if effects were consistent over two consecutive winters. We sampled Collembola and soil mites from a snow accumulation experiment at Svalbard in early summer and used soil microclimatic data to explore to...
Quantitative 3D OPT and LSFM datasets of pancreata from mice with streptozotocin-induced diabetes: Dataset 2 & 3
Max Hahn, Christoffer Nord, Pim P. Van Krieken, Per-Olof Berggren, Erwin Ilegems, Abbas Cheddad & Ulf Ahlgren
Mouse models for streptozotocin (STZ) induced diabetes probably represent the most widely used systems for preclinical diabetes research, owing to the compound’s toxic effect on pancreatic ß-cells. However, a comprehensive view of pancreatic β-cell mass distribution subject to STZ administration is lacking. Previous assessments have largely relied on the extrapolation of stereological sections, which provide limited 3D-spatial and quantitative information. This data descriptor presents multiple ex vivo tomographic optical image data sets of the full...
Community-onset urosepsis: incidence and risk factors for 30-day mortality – a retrospective cohort study
Martin Holmbom, Maria Andersson, Magnus Grabe, Ralph Peeker, Aus Saudi, Johan Styrke & Firas Aljabery
Urosepsis is a life-threatening condition that needs to be addressed without delay. Two critical issues in its management are: (1) Appropriate empirical antibiotic therapy, considering the patients general condition, comorbidity, and the pathogen expected; and (2) Timing of imaging to identify obstruction requiring decompression. To identify risk factors associated with 30-day mortality in patients with urosepsis. From a cohort of 1,605 community-onset bloodstream infections (CO-BSI), 282 patients with urosepsis were identified in a Swedish county...
Landscape determinants of lake benthic and pelagic primary production
Isolde Callisto Puts
Global change affects gross primary production (GPP) in benthic and pelagic habitats of northern lakes by influencing catchment characteristics and lake water biogeochemistry. However, how changes in key environmental drivers manifest and impact total (i.e., benthic + pelagic) GPP and the partitioning of total GPP between habitats, here represented by the benthic share (autotrophic structuring) is unclear. This dataset presentes compiled data on summer gross primary productivity (GPP) in benthic and pelagic habitats sampled in...
Temporal and spatial changes in benthic invertebrate trophic networks along a taxonomic richness gradient
Julie Garrison, Marie Nordström, Jan Albertsson & Francisco Nascimento
Species interactions underlie most ecosystem functions and are important for understanding ecosystem changes. Representing one type of species interaction, trophic networks were constructed from biodiversity monitoring data and known trophic links to assess how ecosystems have changed over time. The Baltic Sea is subject to many anthropogenic pressures, and low species diversity makes it an ideal candidate for determining how pressures change food webs. In this study, we used benthic monitoring data from 20 years...
On the use of different linkage plans with different observed-score equipercentile equating methods
Marie Wiberg
The overall aim was to examine the equated values when using different linkage plans and different observed-score equipercentile equating methods with the equivalent groups (EG) design and the nonequivalent groups with anchor test (NEAT) design. Both real data from a college admissions test and simulated data were used with frequency estimation, chained equating, and kernel equating methods. The overall results were that different linkage plans gave different equated values and standard errors (SEs) both in...
sj-doc-1-acr-10.1177_02841851221140668 - Supplemental material for PET/MR versus PET/CT for locoregional staging of oropharyngeal squamous cell cancer
Lennart Flygare, Secil Telli Erdogan & Karin Söderkvist
Supplemental material, sj-doc-1-acr-10.1177_02841851221140668 for PET/MR versus PET/CT for locoregional staging of oropharyngeal squamous cell cancer by Lennart Flygare, Secil Telli Erdogan and Karin Söderkvist in Acta Radiologica
Additional file 1 of The NORMAN Suspect List Exchange (NORMAN-SLE): facilitating European and worldwide collaboration on suspect screening in high resolution mass spectrometry
Hiba Mohammed Taha, Reza Aalizadeh, Nikiforos Alygizakis, Jean-Philippe Antignac, Hans Peter H. Arp, Richard Bade, Nancy Baker, Lidia Belova, Lubertus Bijlsma, Evan E. Bolton, Werner Brack, Alberto Celma, Wen-Ling Chen, Tiejun Cheng, Parviel Chirsir, Ľuboš Čirka, Lisa A. D’Agostino, Yannick Djoumbou Feunang, Valeria Dulio, Stellan Fischer, Pablo Gago-Ferrero, Aikaterini Galani, Birgit Geueke, Natalia Głowacka, Juliane Glüge … & Emma L. Schymanski
Additional file 1: Summary of the NORMAN-SLE datasets (CSV format) as of 4 May 2022 [81].
Affiliations
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Umeå University131
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Aarhus University19
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International Agency for Research on Cancer18
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Swedish University of Agricultural Sciences16
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University of Copenhagen16
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Norwegian University of Science and Technology13
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Ersta Sköndal University College12
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University of Stavanger9
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Nord University9
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Helmholtz Centre for Environmental Research8