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Search: WFRF:(Becker Thomas) > (2020-2024)

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11.
  • Biurrun, Idoia, et al. (author)
  • Benchmarking plant diversity of Palaearctic grasslands and other open habitats
  • 2021
  • In: Journal of Vegetation Science. - Oxford : John Wiley & Sons. - 1100-9233 .- 1654-1103. ; 32:4
  • Journal article (peer-reviewed)abstract
    • Journal of Vegetation Science published by John Wiley & Sons Ltd on behalf of International Association for Vegetation Science.Aims: Understanding fine-grain diversity patterns across large spatial extents is fundamental for macroecological research and biodiversity conservation. Using the GrassPlot database, we provide benchmarks of fine-grain richness values of Palaearctic open habitats for vascular plants, bryophytes, lichens and complete vegetation (i.e., the sum of the former three groups). Location: Palaearctic biogeographic realm. Methods: We used 126,524 plots of eight standard grain sizes from the GrassPlot database: 0.0001, 0.001, 0.01, 0.1, 1, 10, 100 and 1,000 m2 and calculated the mean richness and standard deviations, as well as maximum, minimum, median, and first and third quartiles for each combination of grain size, taxonomic group, biome, region, vegetation type and phytosociological class. Results: Patterns of plant diversity in vegetation types and biomes differ across grain sizes and taxonomic groups. Overall, secondary (mostly semi-natural) grasslands and natural grasslands are the richest vegetation type. The open-access file ”GrassPlot Diversity Benchmarks” and the web tool “GrassPlot Diversity Explorer” are now available online (https://edgg.org/databases/GrasslandDiversityExplorer) and provide more insights into species richness patterns in the Palaearctic open habitats. Conclusions: The GrassPlot Diversity Benchmarks provide high-quality data on species richness in open habitat types across the Palaearctic. These benchmark data can be used in vegetation ecology, macroecology, biodiversity conservation and data quality checking. While the amount of data in the underlying GrassPlot database and their spatial coverage are smaller than in other extensive vegetation-plot databases, species recordings in GrassPlot are on average more complete, making it a valuable complementary data source in macroecology. © 2021 The Authors.
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12.
  • Bousquet, Jean, et al. (author)
  • ARIA digital anamorphosis : Digital transformation of health and care in airway diseases from research to practice
  • 2021
  • In: Allergy. European Journal of Allergy and Clinical Immunology. - : John Wiley & Sons. - 0105-4538 .- 1398-9995. ; 76:1, s. 168-190
  • Research review (peer-reviewed)abstract
    • Digital anamorphosis is used to define a distorted image of health and care that may be viewed correctly using digital tools and strategies. MASK digital anamorphosis represents the process used by MASK to develop the digital transformation of health and care in rhinitis. It strengthens the ARIA change management strategy in the prevention and management of airway disease. The MASK strategy is based on validated digital tools. Using the MASK digital tool and the CARAT online enhanced clinical framework, solutions for practical steps of digital enhancement of care are proposed.
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14.
  • Mahajan, Anubha, et al. (author)
  • Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation
  • 2022
  • In: Nature Genetics. - : Springer Nature. - 1061-4036 .- 1546-1718. ; 54:5, s. 560-572
  • Journal article (peer-reviewed)abstract
    • We assembled an ancestrally diverse collection of genome-wide association studies (GWAS) of type 2 diabetes (T2D) in 180,834 affected individuals and 1,159,055 controls (48.9% non-European descent) through the Diabetes Meta-Analysis of Trans-Ethnic association studies (DIAMANTE) Consortium. Multi-ancestry GWAS meta-analysis identified 237 loci attaining stringent genome-wide significance (P < 5 x 10(-9)), which were delineated to 338 distinct association signals. Fine-mapping of these signals was enhanced by the increased sample size and expanded population diversity of the multi-ancestry meta-analysis, which localized 54.4% of T2D associations to a single variant with >50% posterior probability. This improved fine-mapping enabled systematic assessment of candidate causal genes and molecular mechanisms through which T2D associations are mediated, laying the foundations for functional investigations. Multi-ancestry genetic risk scores enhanced transferability of T2D prediction across diverse populations. Our study provides a step toward more effective clinical translation of T2D GWAS to improve global health for all, irrespective of genetic background. Genome-wide association and fine-mapping analyses in ancestrally diverse populations implicate candidate causal genes and mechanisms underlying type 2 diabetes. Trans-ancestry genetic risk scores enhance transferability across populations.
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15.
  • Schnitzbauer, Andreas A., et al. (author)
  • mTOR Inhibition Is Most Beneficial After Liver Transplantation for Hepatocellular Carcinoma in Patients With Active Tumors
  • 2020
  • In: Annals of Surgery. - : LIPPINCOTT WILLIAMS & WILKINS. - 0003-4932 .- 1528-1140. ; 272:5, s. 855-862
  • Journal article (peer-reviewed)abstract
    • Objective: The aim of this study was to evaluate the survival benefit of sirolimus in patients undergoing liver transplantation (LT) for hepatocellular carcinoma (HCC) (exploratory analysis of the SiLVER-trial). Summary and Background Data: Patients receiving LT) for HCC are at a high risk for tumor recurrence. Calcineurin inhibitors have shown evidence to promote cancer growth, whereas mammalian target of rapamycin (mTOR) inhibitors like sirolimus have anticancer effects. In the SiLVER-trial (Clinicaltrials.gov:NCT00355862), the effect of sirolimus on the recurrence of HCC after LTwas investigated in a prospective randomized trial. Although the primary endpoint of improved disease-free survival (DFS) with sirolimus was not met, outcomes were improved for patients in the sirolimus-treatment arm in the first 3 to 5 years. To learn more about the key variables, a multivariate analysis was performed on the SiLVER-trial data. Patients and Methods: Data from 508 patients of the intention-to-treat analysis were included in exploratory univariate and multivariate models for overall survival (OS), DFS and a competing risk analysis for HCC recurrence. Results: Sirolimus use for >= 3 months after LT for HCC independently reduced the hazard for death in the multivariate analysis [hazard ratio (HR): 0.7 (95% confidence interval, CI: 0.52-0.96, P = 0.02). Most strikingly, patients with an alpha-fetoprotein (AFP) >= 10 ng/mL and having used sirolimus for >= 3 months, benefited most with regard to OS, DFS, and HCC-recurrence (HR: 0.49- 0.59, P = 0.0079- 0.0245). Conclusions: mTOR-inhibitor treatment with sirolimus for >= 3 months improves outcomes in LT for HCC, especially in patients with AFP-evidence of higher tumor activity, advocating particularly for mTOR inhibitor use in this subgroup of patients. Clinical Trial Registration: EudraCT: 2005-005362-36 Clinicaltrials.gov: NCT00355862.
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16.
  • Schott, Ryan K., et al. (author)
  • Diversity and Evolution of Frog Visual Opsins : Spectral Tuning and Adaptation to Distinct Light Environments
  • 2024
  • In: Molecular biology and evolution. - 0737-4038. ; 41:4
  • Journal article (peer-reviewed)abstract
    • Visual systems adapt to different light environments through several avenues including optical changes to the eye and neurological changes in how light signals are processed and interpreted. Spectral sensitivity can evolve via changes to visual pigments housed in the retinal photoreceptors through gene duplication and loss, differential and coexpression, and sequence evolution. Frogs provide an excellent, yet understudied, system for visual evolution research due to their diversity of ecologies (including biphasic aquatic-terrestrial life cycles) that we hypothesize imposed different selective pressures leading to adaptive evolution of the visual system, notably the opsins that encode the protein component of the visual pigments responsible for the first step in visual perception. Here, we analyze the diversity and evolution of visual opsin genes from 93 new eye transcriptomes plus published data for a combined dataset spanning 122 frog species and 34 families. We find that most species express the four visual opsins previously identified in frogs but show evidence for gene loss in two lineages. Further, we present evidence of positive selection in three opsins and shifts in selective pressures associated with differences in habitat and life history, but not activity pattern. We identify substantial novel variation in the visual opsins and, using microspectrophotometry, find highly variable spectral sensitivities, expanding known ranges for all frog visual pigments. Mutations at spectral-tuning sites only partially account for this variation, suggesting that frogs have used tuning pathways that are unique among vertebrates. These results support the hypothesis of adaptive evolution in photoreceptor physiology across the frog tree of life in response to varying environmental and ecological factors and further our growing understanding of vertebrate visual evolution.
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17.
  • Tews, Ingo, et al. (author)
  • Nuclear Forces for Precision Nuclear Physics: A Collection of Perspectives
  • 2022
  • In: Few-Body Systems. - : Springer Science and Business Media LLC. - 1432-5411 .- 0177-7963. ; 63:4
  • Journal article (peer-reviewed)abstract
    • This is a collection of perspective pieces contributed by the participants of the Institute for Nuclear Theory's Program on Nuclear Physics for Precision Nuclear Physics which was held virtually from April 19 to May 7, 2021. The collection represents the reflections of a vibrant and engaged community of researchers on the status of theoretical research in low-energy nuclear physics, the challenges ahead, and new ideas and strategies to make progress in nuclear structure and reaction physics, effective field theory, lattice QCD, quantum information, and quantum computing. The contributed pieces solely reflect the perspectives of the respective authors and do not represent the viewpoints of the Institute for Nuclear theory or the organizers of the program.
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  • Result 11-20 of 56
Type of publication
journal article (50)
research review (2)
conference paper (1)
Type of content
peer-reviewed (47)
other academic/artistic (3)
pop. science, debate, etc. (3)
Author/Editor
Ali, M (13)
Price, C (10)
Ahmed, A (7)
Howard, D (7)
Marshall, RS (7)
Becker, M (6)
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Schmidt, K. (6)
Yamada, Y. (6)
Moreau, D (6)
Abo, M (6)
Feldman, G. (6)
Gill, T (6)
Becker, F. (6)
Visch-Brink, E (6)
Kukkonen, T (6)
Palmer, R (6)
Godecke, E (6)
Breitenstein, C (6)
Bowen, A (6)
Laska, AC (6)
Hilari, K (6)
Brady, MC (6)
VandenBerg, K (6)
Williams, LJ (6)
Williams, LR (6)
Bruehl, S (6)
Copland, DA (6)
Cranfill, TB (6)
Di Pietro-Bachmann, ... (6)
Enderby, P (6)
Fillingham, J (6)
Galli, FL (6)
Gandolfi, M (6)
Glize, B (6)
Hawkins, N (6)
Hinckley, J (6)
Horton, S (6)
Jaecks, P (6)
Jefferies, E (6)
Kambanaros, M (6)
Kang, EK (6)
Khedr, EM (6)
Kong, APH (6)
Laganaro, M (6)
Leemann, B (6)
Leff, AP (6)
Lima, RR (6)
Lorenz, A (6)
Meinzer, M (6)
Nilipour, R (6)
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University
Karolinska Institutet (28)
Lund University (14)
Uppsala University (10)
Stockholm University (7)
University of Gothenburg (6)
Chalmers University of Technology (5)
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Umeå University (4)
Högskolan Dalarna (2)
Halmstad University (1)
University of Gävle (1)
Linköping University (1)
Linnaeus University (1)
Swedish University of Agricultural Sciences (1)
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Language
English (53)
Swedish (3)
Research subject (UKÄ/SCB)
Medical and Health Sciences (24)
Natural sciences (16)
Social Sciences (5)
Engineering and Technology (1)

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