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Sökning: WFRF:(Sage A) > (2020-2024)

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  • Ali, M, et al. (författare)
  • Protocol for the development of the international population registry for aphasia after stroke (I-PRAISE)
  • 2022
  • Ingår i: Aphasiology. - : Informa UK Limited. - 0268-7038 .- 1464-5041. ; 36:4, s. 534-554
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: We require high-quality information on the current burden, the types of therapy and resources available, methods of delivery, care pathways and long-term outcomes for people with aphasia.Aim: To document and inform international delivery of post-stroke aphasia treatment, to optimise recovery and reintegration of people with aphasia.Methods & Procedures: Multi-centre, prospective, non-randomised, open study, employing blinded outcome assessment, where appropriate, including people with post-stroke aphasia, able to attend for 30 minutes during the initial language assessment, at first contact with a speech and language therapist for assessment of aphasia at participating sites. There is no study-mandated intervention. Assessments will occur at baseline (first contact with a speech and language therapist for aphasia assessment), discharge from Speech and Language Therapy (SLT), 6 and 12-months post-stroke. Our primary outcome is changed from baseline in the Amsterdam Nijmegen Everyday Language Test (ANELT/Scenario Test for participants with severe verbal impairments) at 12-months post-stroke. Secondary outcomes at 6 and 12 months include the Therapy Outcome Measure (TOMS), Subjective Index of Physical and Social Outcome (SIPSO), Aphasia Severity Rating Scale (ASRS), Western Aphasia Battery Aphasia Quotient (WAB-AQ), stroke and aphasia quality of life scale (SAQoL-39), European Quality of Life Scale (EQ-5D), lesion description, General Health Questionnaire (GHQ-12), resource use, and satisfaction with therapy provision and success. We will collect demography, clinical data, and therapy content. Routine neuroimaging and medication administration records will be accessed where possible; imaging will be pseudonymised and transferred to a central reading centre. Data will be collected in a central registry. We will describe demography, stroke and aphasia profiles and therapies available. International individual participant data (IPD) meta-analyses will examine treatment responder rates based on minimal detectable change & clinically important changes from baseline for primary and secondary outcomes at 6 and 12 months. Multivariable meta-analyses will examine associations between demography, therapy, medication use and outcomes, considering service characteristics. Where feasible, costs associated with treatment will be reported. Where available, we will detail brain lesion size and site, and examine correlations with SLT and language outcome at 12 months.Conclusion: International differences in care, resource utilisation and outcomes will highlight avenues for further aphasia research, promote knowledge sharing and optimise aphasia rehabilitation delivery. IPD meta-analyses will enhance and expand understanding, identifying cost-effective and promising approaches to optimise rehabilitation to benefit people with aphasia.
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  • Kirschbaum, Miko U.F., et al. (författare)
  • Is tree planting an effective strategy for climate change mitigation?
  • 2024
  • Ingår i: Science of the Total Environment. - : Elsevier B.V.. - 0048-9697 .- 1879-1026. ; 909
  • Tidskriftsartikel (refereegranskat)abstract
    • The world's forests store large amounts of carbon (C), and growing forests can reduce atmospheric CO2 by storing C in their biomass. This has provided the impetus for world-wide tree planting initiatives to offset fossil-fuel emissions. However, forests interact with their environment in complex and multifaceted ways that must be considered for a balanced assessment of the value of planting trees. First, one needs to consider the potential reversibility of C sequestration in trees through either harvesting or tree death from natural factors. If carbon storage is only temporary, future temperatures will actually be higher than without tree plantings, but cumulative warming will be reduced, contributing both positively and negatively to future climate-change impacts. Alternatively, forests could be used for bioenergy or wood products to replace fossil-fuel use which would obviate the need to consider the possible reversibility of any benefits. Forests also affect the Earth's energy balance through either absorbing or reflecting incoming solar radiation. As forests generally absorb more incoming radiation than bare ground or grasslands, this constitutes an important warming effect that substantially reduces the benefit of C storage, especially in snow-covered regions. Forests also affect other local ecosystem services, such as conserving biodiversity, modifying water and nutrient cycles, and preventing erosion that could be either beneficial or harmful depending on specific circumstances. Considering all these factors, tree plantings may be beneficial or detrimental for mitigating climate-change impacts, but the range of possibilities makes generalisations difficult. Their net benefit depends on many factors that differ between specific circumstances. One can, therefore, neither uncritically endorse tree planting everywhere, nor condemn it as counter-productive. Our aim is to provide key information to enable appropriate assessments to be made under specific circumstances. We conclude our discussion by providing a step-by-step guide for assessing the merit of tree plantings under specific circumstances.
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  • Frohlich, Michael W., et al. (författare)
  • Molecular phylogenetics of Euploca (Boraginaceae) : homoplasy in many characters, including the C-4 photosynthetic pathway
  • 2022
  • Ingår i: Botanical journal of the Linnean Society. - : Oxford University Press (OUP). - 0024-4074 .- 1095-8339. ; 199:2, s. 497-537
  • Tidskriftsartikel (refereegranskat)abstract
    • We present a phylogenetic analysis using plastid (matK, rbcL) and nuclear (nrITS) DNA for diverse Euploca spp. (formerly Heliotropium section Orthostachys) from the worldwide distribution of a genus and including species encompassing the wide physiological and morphological diversity of the genus. Our results indicate that some remarkably complex features arose multiple times in parallel in Euploca, including attributes of its subsections under section Orthostachys, notably plants that, above ground, consist almost entirely of inflorescences. To elucidate in greater detail the distribution of C-4 species in Euploca and Heliotropium s.s., we made > 800 delta C-13 determinations, including some from the traditional genus Tournefortia. We greatly increase the number of proven C-4 species in Euploca, but found none outside Euploca. Of the tested Euploca spp., c. 28% are C-3 or intermediate in carbon fixation pathway. Our phylogenetic results indicate four parallel/convergent acquisitions of C-4 photosynthesis or fewer origins with subsequent loss in some species.
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  • Gómez-de-Mariscal, E., et al. (författare)
  • DeepImageJ : A user-friendly environment to run deep learning models in ImageJ
  • 2021
  • Ingår i: Nature Methods. - : Springer Nature. - 1548-7091 .- 1548-7105. ; 18:10, s. 1192-1195
  • Tidskriftsartikel (refereegranskat)abstract
    • DeepImageJ is a user-friendly solution that enables the generic use of pre-trained deep learning models for biomedical image analysis in ImageJ. The deepImageJ environment gives access to the largest bioimage repository of pre-trained deep learning models (BioImage Model Zoo). Hence, nonexperts can easily perform common image processing tasks in life-science research with deep learning-based tools including pixel and object classification, instance segmentation, denoising or virtual staining. DeepImageJ is compatible with existing state of the art solutions and it is equipped with utility tools for developers to include new models. Very recently, several training frameworks have adopted the deepImageJ format to deploy their work in one of the most used softwares in the field (ImageJ). Beyond its direct use, we expect deepImageJ to contribute to the broader dissemination and reuse of deep learning models in life sciences applications and bioimage informatics.
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