1. |
- Kattge, Jens, et al.
(author)
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TRY plant trait database - enhanced coverage and open access
- 2020
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In: Global Change Biology. - : Wiley-Blackwell. - 1354-1013 .- 1365-2486. ; 26:1, s. 119-188
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Journal article (peer-reviewed)abstract
- Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.
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2. |
- Henein, Michael Y., et al.
(author)
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Biomarkers predict in-hospital major adverse cardiac events in covid-19 patients : A multicenter international study
- 2021
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In: Journal of Clinical Medicine. - : MDPI. - 2077-0383. ; 10:24
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Journal article (peer-reviewed)abstract
- Background: The COVID-19 pandemic carries a high burden of morbidity and mortality worldwide. We aimed to identify possible predictors of in-hospital major cardiovascular (CV) events in COVID-19.Methods: We retrospectively included patients hospitalized for COVID-19 from 10 centers. Clinical, biochemical, electrocardiographic, and imaging data at admission and medications were collected. Primary endpoint was a composite of in-hospital CV death, acute heart failure (AHF), acute myocarditis, arrhythmias, acute coronary syndromes (ACS), cardiocirculatory arrest, and pulmonary embolism (PE).Results: Of the 748 patients included, 141(19%) reached the set endpoint: 49 (7%) CV death, 15 (2%) acute myocarditis, 32 (4%) sustained-supraventricular or ventricular arrhythmias, 14 (2%) cardiocirculatory arrest, 8 (1%) ACS, 41 (5%) AHF, and 39 (5%) PE. Patients with CV events had higher age, body temperature, creatinine, high-sensitivity troponin, white blood cells, and platelet counts at admission and were more likely to have systemic hypertension, renal failure (creatinine ≥ 1.25 mg/dL), chronic obstructive pulmonary disease, atrial fibrillation, and cardiomyopathy. On univariate and multivariate analysis, troponin and renal failure were associated with the composite endpoint. Kaplan–Meier analysis showed a clear divergence of in-hospital composite event-free survival stratified according to median troponin value and the presence of renal failure (Log rank p < 0.001).Conclusions: Our findings, derived from a multicenter data collection study, suggest the routine use of biomarkers, such as cardiac troponin and serum creatinine, for in-hospital prediction of CV events in patients with COVID-19.
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3. |
- Lissi, María Rosa, et al.
(author)
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El Enfoque Bilingüe en la Educación de Sordos : sus implicancias para la enseñanza y aprendizaje de la lengua escrita
- 2012
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In: Estudios pedagógicos. - 0716-050X .- 0718-0705. ; 38:2, s. 299-320
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Journal article (peer-reviewed)abstract
- This article reviews the background of the bilingual approach in deaf education, it describes more specifically how it has been implemented in Sweden, and it refers to the incorporation of this approach in deaf education in Chile. Further on, it analyzes the way in which Sign Language can be used to teach written language in bilingual education contexts, using examples from primary education classes for children at a school for the deaf. Finally the article emphasizes the implications of the bilingual model for the process of teaching and learning written language in deaf education, and it discusses some considerations for moving forward in this area in the Chilean education context.
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4. |
- Lozano, Manuel, et al.
(author)
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Prenatal Metals Exposure and pre-adolescents’ Emotional and Behavioral Problems
- 2024
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In: Exposure and Health. - 2451-9766. ; 16:3, s. 679-692
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Journal article (peer-reviewed)abstract
- Emotional and behavioral problems during childhood raise the risk of subsequent developmental of mental disorders. Our aim was to study the association between maternal metal and trace element concentrations during gestation and these problems in 9 year-old children. The study sample comprised Spanish mother-child pairs in the INMA project (n = 1003). Metals and trace elements (As, Cd, Co, Cu, Mo, Ni, Pb, Sb, Se, Tl and Zn) were measured in urine samples collected during pregnancy. Inorganic As metabolites were speciated in a subsample (n = 729). Emotional and behavioral problems were assessed using the Child Behavior Checklist (CBCL) composed of three scales: internalizing, externalizing and total problems. Sociodemographic, dietary and exposure to other environmental pollutants were obtained through questionnaires. Single nucleotide polymorphisms in brain- and metabolism-related genes APOE, BDNF, GSTP1, and PON1 were determined in cord blood. Multivariate negative binomial models were used. The interaction with sex and genotypes was evaluated including interaction terms. A multi-element analysis was carried out by a principal component analysis. Higher concentrations of Cu, monomethylarsonic acid, and Pb during pregnancy were associated with an increased incidence ratio risk (IRR) between 4.6 and 7.5% for internalizing and externalizing problems for all three CBCL scales in the children. Increasing Mo, Ni and Co concentrations were associated with higher IRR for internalizing problems (up to 8%), and Cd for externalizing problems (6.7%). Modifications by sex and genotypes were found for several associations. Multi-element analysis associated multiple metals and trace elements (Ni, Cu, Se, Cd and Pb) with higher internalizing problems.
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5. |
- Schaller, David, et al.
(author)
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Corrigendum to “Best match graphs”
- 2021
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In: Journal of Mathematical Biology. - : Springer Science and Business Media LLC. - 0303-6812 .- 1432-1416. ; 82:6
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Journal article (other academic/artistic)abstract
- Two errors in the article Best Match Graphs (Geiß et al. in JMB 78: 2015–2057, 2019) are corrected. One concerns the tacit assumption that digraphs are sink-free, which has to be added as an additional precondition in Lemma 9, Lemma 11, Theorem 4. Correspondingly, Algorithm 2 requires that its input is sink-free. The second correction concerns an additional necessary condition in Theorem 9 required to characterize best match graphs. The amended results simplify the construction of least resolved trees for n-cBMGs, i.e., Algorithm 1. All other results remain unchanged and are correct as stated.
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6. |
- Yalcinkaya, Ahmet, et al.
(author)
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No link between type I interferon autoantibody positivity and adverse reactions to COVID-19 vaccines
- 2024
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In: NPJ VACCINES. - : Springer Nature. - 2059-0105. ; 9:1
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Journal article (peer-reviewed)abstract
- Type I interferons act as gatekeepers against viral infection, and autoantibodies that neutralize these signaling molecules have been associated with COVID-19 severity and adverse reactions to the live-attenuated yellow fever vaccine. On this background, we sought to examine whether autoantibodies against type I interferons were associated with adverse events following COVID-19 vaccination. Our nationwide analysis suggests that type I interferon autoantibodies were not associated with adverse events after mRNA or viral-vector COVID-19 vaccines.
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