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| http://dx.doi.org/10.3389/fnmol.2018.00340 | DOI Listing |
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Commentary on "Multiscale hamstring muscle adaptations following 9 weeks of eccentric training".
J Sport Health Sci
October 2024
Department of Human Movement Science, Sport and Health, University of Graz, 8043 Graz, Austria. Electronic address:
Improving wood carbon fractions for multiscale forest carbon estimation.
Carbon Balance Manag
August 2024
Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, ON, Scarborough, M1C 1A4, Canada.
Background: Wood carbon fractions (CFs)-the proportion of dry woody biomass comprised of elemental carbon (C)-are a key component of forest C estimation protocols and studies. Traditionally, a wood CF of 50% has been assumed in forest C estimation protocols, but recent studies have specifically quantified differences in wood CFs across several different forest biomes and taxonomic divisions, negating the need for generic wood CF assumptions. The Intergovernmental Panel on Climate Change (IPCC), in its 2006 "Guidelines for National Greenhouse Gas Inventories", published its own multitiered system of protocols for estimating forest C stocks, which included wood CFs that (1) were based on the best available literature (at the time) and (2) represented a significant improvement over the generic 50% wood CF assumption.
View Article and Find Full Text PDFMultiscale simulations of DNA from electrons to nucleosomes: 22 years of the Ascona B-DNA Consortium.
Biophys Rev
June 2024
Computational Biophysics Group, Department of Biological Sciences, CENUR Litoral Norte, Universidad de la República, Salto, Uruguay.
This commentary provides a retrospective on the Ascona B-DNA Consortium (ABC) initiative and on the conference held in April 2023 at Ascona, Switzerland, where we celebrated 22 years of the consortium, sharing the latest advances in simulations and experiments of the effects of sequence on the mechanical properties of DNA from electrons to nucleosomes.
View Article and Find Full Text PDFReproducibility Analysis of Radiomic Features on T2-weighted MR Images after Processing and Segmentation Alterations in Neuroblastoma Tumors.
Radiol Artif Intell
July 2024
From the Grupo de Investigación Biomédica en Imagen, Instituto de Investigación Sanitaria La Fe, Avenida Fernando Abril Martorell, 106 Torre A planta 7, 46026 Valencia, Spain (D.V.C., M.F.P., L.C.A., A.G.M., L.M.B.); Área Clínica de Imagen Médica (D.V.C., C.S.N., L.M.B.) and Department of Pediatric Oncology (B.M.d.l.H., A.C.), Hospital Universitari i Politècnic La Fe, Valencia, Spain; Quantitative Imaging Biomarkers in Medicine, QUIBIM SL, Valencia, Spain (A.J.P., A.A.B.); Departamento de Estadística e Investigación Operativa Aplicadas y Calidad, Universitat Politècnica de València, Valencia, Spain (J.M.C.S.); St. Anna Children's Cancer Research Institute, Vienna, Austria (U.P., S.T.M., R.L.); Division of Academic Radiology, Department of Translational Research, University of Pisa, Pisa, Italy (E.N.); and Department of Pediatric Oncology and Hematology, University Children's Hospital of Cologne, Medical 18 Faculty, University of Cologne, Cologne, Germany (B.H.).
Purpose To evaluate the reproducibility of radiomics features extracted from T2-weighted MR images in patients with neuroblastoma. Materials and Methods A retrospective study included 419 patients (mean age, 29 months ± 34 [SD]; 220 male, 199 female) with neuroblastic tumors diagnosed between 2002 and 2023, within the scope of the PRedictive In-silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging biomarkers (ie, PRIMAGE) project, involving 746 T2/T2*-weighted MRI sequences at diagnosis and/or after initial chemotherapy. Images underwent processing steps (denoising, inhomogeneity bias field correction, normalization, and resampling).
View Article and Find Full Text PDFThrough the haze: unveiling the link between smoking and atrial fibrillation.
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Institute of Pharmacology and Toxicology, University Medical Center Göttingen, Göttingen, Germany.
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