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1,453 results for “Outcome research”
Figure 1 from: Cassetta L, Rodrigues PM, Andreu T, Botta B, Brandau S, Brierley C, Wilson C, Dadeshidze I, Forzi L, Ortelli F, Quintas MA.C (2020) Beating Cancer by 2030: Mission Impossible? Research Ideas and Outcomes 6: e61662. https://doi.org/10.3897/rio.6.e61662
Figure 1 Dr Wolfgang Burtscher, Deputy Director General at DG Research and Innovation (EC) (L) opened the event presenting an overview of the state of play of current Horizon Europe negotiations and the planned Mission in the field of Cancer. Dr Sanja Damjanovic, Minister for Science in Montenegro (R), presented the roadmap for establishing The South East European International Institute for Sustainable Technologies (SEEIIST), which aims developing Hadron Cancer Therapy and Biomedical Research with Protons and Heavy Ions.
Figure 2b from: Cirillo M (2020) Ring-first Mitral Valve Repair. Research Ideas and Outcomes 6: e62369. https://doi.org/10.3897/rio.6.e62369
Figure 2b The two most frequent types of mitral pathology: Barlow's disease (a and b) and fibroelastic deficiency (c and d). The pathological pictures are shown and the advantage of implanting the prosthetic ring before performing the repair of the valve leaflets is illustrated. - By implanting the ring as a first step, the valve is arranged in the correct elliptical shape, the leaflets are spatially redistributed, then the judgment on any other necessary surgical act is taken in the final shape of the valve.
Figure 2a from: Cirillo M (2020) Ring-first Mitral Valve Repair. Research Ideas and Outcomes 6: e62369. https://doi.org/10.3897/rio.6.e62369
Figure 2a The two most frequent types of mitral pathology: Barlow's disease (a and b) and fibroelastic deficiency (c and d). The pathological pictures are shown and the advantage of implanting the prosthetic ring before performing the repair of the valve leaflets is illustrated. - In Barlow's disease, the mitral valve takes on a more rounded shape than the normal elliptical one and the tissue is very redundant;
Figure 2 from: Raes N, Casino A, Goodson H, Islam S, Koureas D, Schiller EK, Schulman L, Tilley L, Robertson T (2020) White paper on the alignment and interoperability between the Distributed System of Scientific Collections (DiSSCo) and EU infrastructures - The case of the European Environment Agency (EEA). Research Ideas and Outcomes 6: e62361. https://doi.org/10.3897/rio.6.e62361
Figure 2 The current and required implementation readiness levels for DiSSCo to enter the construction phase of the DiSSCo RI. The grey arrows indicate the tasks for the DiSSCo Prepare project.
Figure 2d from: Cirillo M (2020) Ring-first Mitral Valve Repair. Research Ideas and Outcomes 6: e62369. https://doi.org/10.3897/rio.6.e62369
Figure 2d The two most frequent types of mitral pathology: Barlow's disease (a and b) and fibroelastic deficiency (c and d). The pathological pictures are shown and the advantage of implanting the prosthetic ring before performing the repair of the valve leaflets is illustrated. - By implanting the ring as the first step, the valve area is reduced and assumes a more correct geometry, therefore the resection can be less extensive (triangular, dashed lines).
Figure 1 from: Cirillo M (2020) Ring-first Mitral Valve Repair. Research Ideas and Outcomes 6: e62369. https://doi.org/10.3897/rio.6.e62369
Figure 1 Normal anatomy of the left heart atrioventricular mitral valve (from https://commons.wikimedia.org/wiki/File:Mitral_Valve_RK.png, licensed CC0).
Figure 2c from: Cirillo M (2020) Ring-first Mitral Valve Repair. Research Ideas and Outcomes 6: e62369. https://doi.org/10.3897/rio.6.e62369
Figure 2c The two most frequent types of mitral pathology: Barlow's disease (a and b) and fibroelastic deficiency (c and d). The pathological pictures are shown and the advantage of implanting the prosthetic ring before performing the repair of the valve leaflets is illustrated. - In fibroelastic deficiency the mitral annulus is dilated by chronic regurgitation, widening the valvular area and this may induce a quite large (quadrangular, dashed lines) resection;
Figure 3 from: Raes N, Casino A, Goodson H, Islam S, Koureas D, Schiller EK, Schulman L, Tilley L, Robertson T (2020) White paper on the alignment and interoperability between the Distributed System of Scientific Collections (DiSSCo) and EU infrastructures - The case of the European Environment Agency (EEA). Research Ideas and Outcomes 6: e62361. https://doi.org/10.3897/rio.6.e62361
Figure 3 An example of a simple Digital Specimen (Hardisty 2020). Arrows point to identifiers of linked information that was derived from or is related to the physical specimen it represents. dissco.tech blog post.
Figure 4 from: Raes N, Casino A, Goodson H, Islam S, Koureas D, Schiller EK, Schulman L, Tilley L, Robertson T (2020) White paper on the alignment and interoperability between the Distributed System of Scientific Collections (DiSSCo) and EU infrastructures - The case of the European Environment Agency (EEA). Research Ideas and Outcomes 6: e62361. https://doi.org/10.3897/rio.6.e62361
Figure 4 The links and interactions between the EEA, ETCs (European Topic Centres), NFPs (National Focal Points), and NRCs (National Reference Centres) - image from EEA website*25.
Supplementary material 3 from: Padilla-Sanchez V (2021) SARS-CoV-2 Structural Analysis of Receptor Binding Domain New Variants from United Kingdom and South Africa. Research Ideas and Outcomes 7: e62936. https://doi.org/10.3897/rio.7.e62936
United Kingdom variant interactions
Supplementary material 1 from: Padilla-Sanchez V (2021) SARS-CoV-2 Structural Analysis of Receptor Binding Domain New Variants from United Kingdom and South Africa. Research Ideas and Outcomes 7: e62936. https://doi.org/10.3897/rio.7.e62936
RBD-ACE2 complexes
Supplementary material 2 from: Padilla-Sanchez V (2021) SARS-CoV-2 Structural Analysis of Receptor Binding Domain New Variants from United Kingdom and South Africa. Research Ideas and Outcomes 7: e62936. https://doi.org/10.3897/rio.7.e62936
RBD-ACE2 interface detail
Figure 1 from: Padilla-Sanchez V (2021) SARS-CoV-2 Structural Analysis of Receptor Binding Domain New Variants from United Kingdom and South Africa. Research Ideas and Outcomes 7: e62936. https://doi.org/10.3897/rio.7.e62936
Figure 1 SARS-CoV-2 viral infection at atomic resolution. Counting eight viruses, each of which has spikes (big protrusions) and E membrane proteins (small protrusions) rainbow colored and a core in sienna color, this picture shows how the viruses approach the cell membrane (green). The ACE2 receptors are colored magenta. The field of view is 1 micrometer.
Figure 3 from: Padilla-Sanchez V (2021) SARS-CoV-2 Structural Analysis of Receptor Binding Domain New Variants from United Kingdom and South Africa. Research Ideas and Outcomes 7: e62936. https://doi.org/10.3897/rio.7.e62936
Figure 3 Detail of interface between ACE2 and SARS-CoV-2 RBD. Amino acids are labeled as well as distances. For more details please see the movies in supplementary files. Wild type is beige, UK variant is light blue and SA variant is pink (Suppl. material 2, Suppl. material 3).
Figure 2 from: Padilla-Sanchez V (2021) SARS-CoV-2 Structural Analysis of Receptor Binding Domain New Variants from United Kingdom and South Africa. Research Ideas and Outcomes 7: e62936. https://doi.org/10.3897/rio.7.e62936
Figure 2 Spike glycoprotein bound to ACE2 receptor. PDB 7DF4 (Xu et al. 2020) where ACE2 is cyan and the spike has been colored red, yellow and blue for each subunit of the trimer. This structure has been recently determined at atomic resolution. In spheres, we can see the mutations in the spike glycoprotein from the United Kingdom variant but the only mutation in the receptor binding domain (magenta) is N501Y which is labeled.
Data from: The relationship between risk of bias criteria, research outcomes, and study sponsorship in a cohort of preclinical thiazolidinedione animal studies: a meta-analysis
Introduction: There is little evidence regarding the influence of conflicts of interest on preclinical research. This study examines whether industry sponsorship is associated with increased risks of bias and/or effect sizes of outcomes in published preclinical thiazolidinedione (TZD) studies. Methods: We identified preclinical TZD studies published between January 1, 1965, and November 14, 2012. Coders independently extracted information on study design criteria aimed at reducing bias, results for all relevant outcomes, sponsorship source and investigator financial ties from the 112 studies meeting the inclusion criteria. The average standardized mean difference (SMD) across studies was calculated for plasma glucose (efficacy outcome) and weight gain (harm outcome). In subgroup analyses, TZD outcomes were assessed by sponsorship source and risk of bias criteria. Results: Seven studies were funded by industry alone, 17 studies funded by both industry and non-industry, 49 studies funded by non-industry alone and 39 studies had no disclosures. None of the studies used sample size calculations, intention-to-treat analyses, blinding of investigators or concealment of allocation. Most studies reported favourable results (88 of 112) and conclusions (95 of 112) supporting TZD use. Efficacy estimates were significantly larger in six studies sponsored by industry alone (−3.41; 95% CI −5.21, −1.53; I2 = 93%) versus 42 studies sponsored by non-industry sources (−0.97; 95% CI −1.37, −0.56; I2 = 81%; p-value = 0.01). Harms estimates were significantly larger in four studies sponsored by industry alone (5.00; 95% CI 1.22, 8.77; I2 = 93%) versus 38 studies sponsored by non-industry sources (0.30; 95% CI −0.08, 0.68; I2 = 79%; p-value = 0.02). TZD efficacy and harms did not differ by disclosure of financial COIs or risks of bias. Conclusions: Industry-sponsored TZD animal studies have exaggerated efficacy and harms outcomes compared with studies funded by non-industry sources. There was poor reporting of COIs.
Figure 6 from: Mattsson BJ, Toth W, Penker M, Kieninger P, Vacik H (2020) Drivers and value tradeoffs of regional-scale adaptation in rural landscapes of central Europe. Research Ideas and Outcomes 6: e53608. https://doi.org/10.3897/rio.6.e53608
Figure 6 Gantt chart showing tasks (T), milestones (M), and deliverables (D) as well as involvement of human resources according to the time plan – T, M and D are described in the text.
Figure 4 from: Mattsson BJ, Toth W, Penker M, Kieninger P, Vacik H (2020) Drivers and value tradeoffs of regional-scale adaptation in rural landscapes of central Europe. Research Ideas and Outcomes 6: e53608. https://doi.org/10.3897/rio.6.e53608
Figure 4 Example classifications of tradeoffs from the perspective of regional stewardship programs: Distributed: each ecosystem service category is 20-30% (exclusive); Emphasized: ≥ 1 category is 30-50% (exclusive); Dominant: one categories is >50%.
Figure 2 from: Mattsson BJ, Toth W, Penker M, Kieninger P, Vacik H (2020) Drivers and value tradeoffs of regional-scale adaptation in rural landscapes of central Europe. Research Ideas and Outcomes 6: e53608. https://doi.org/10.3897/rio.6.e53608
Figure 2 Two hypotheses regarding drivers of adaptation, illustrated by simulated effects of individual drivers on an adaptation index (see below Tasks 1.1, 1.2, 3.2 in the Work Plan). Categories of drivers distinguished by symbols: diamond (u) = science; square (■) = culture; circle (●) = climate; triangle (▲) = cross-border; and × = regional program capacity. Whiskers represent 95% Bayesian credibility intervals; open symbols illustrate significant positive effects. Cx = communication.
Figure 3 from: Mattsson BJ, Toth W, Penker M, Kieninger P, Vacik H (2020) Drivers and value tradeoffs of regional-scale adaptation in rural landscapes of central Europe. Research Ideas and Outcomes 6: e53608. https://doi.org/10.3897/rio.6.e53608
Figure 3 Two hypotheses regarding drivers of adaptation, illustrated by simulated values representing absence (A) or presence (B) of interactions between effects on an adaptation index (see below Tasks 1.1, 1.2, 3.2 in Work Plan). Simulated effects include progress toward adaptation by countries of focal regions and by neighbors of these regions. Categories of progress toward adaptation defined as 'more advanced' (at or above median index value) or 'less advanced' (below median index value). Whiskers represent 95% Bayesian credibility intervals; non-overlapping whiskers illustrate statistically significant contrasts.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.