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357 results for “Functional performance”
The PERFECOAT Project Infographic – High Performance Bio-based Functional Coatings for Wood and Decorative Applications
<p><strong>The PERFECOAT Project</strong></p><p>The pursuit of a climate-neutral Europe and a truly circular economy requires attention to virtually all fields of production if fossil-based materials are to be eliminated. This relates not only to manufactured goods but also the paints and coatings used to protect them; of the almost 1 million tonnes of paints and coating produced in Europe each year, more than 80% are derived from fossil resources. Reducing the impact of these coatings would represent a major advance in Europe's climate ambitions.</p><p>To address this challenge, the PERFECOAT project will develop and validate a new generation of industrial wood and decorative coatings with significantly more than 25% bio-based components. The project will address three important markets for coatings, high-volume, UV-curable clear coatings, waterborne trim paints for DIY and waterborne wall paints. These coatings will reach, and even surpass, the current quality and sustainability standards.</p><p><a href="https://perfecoat-project.eu">https://perfecoat-project.eu</a></p>
Data from: Does the number of functional olfactory receptor genes predict olfactory sensitivity and discrimination performance in mammals?
<p>The number of functional genes coding for olfactory receptors differs markedly between species and has repeatedly been suggested to be predictive of a species' olfactory capabilities. To test this assumption, we compiled a database of all published olfactory detection threshold values in mammals and used three sets of data on olfactory discrimination performance that employed the same structurally related monomolecular odor pairs with different mammal species. We extracted the number of functional olfactory receptor genes of the 20 mammal species for which we found data on olfactory sensitivity and/or olfactory discrimination performance from the Chordata Olfactory Receptor Database. We found that the overall olfactory detection thresholds significantly correlates with the number of functional olfactory receptor genes. Similarly, the overall proportion of successfully discriminated monomolecular odor pairs significantly correlates with the number of functional olfactory receptor genes. These results provide the first statistically robust evidence for the relation between olfactory capabilities and their genomics correlates. However, when analysed individually, of the 44 monomolecular odorants for which data on olfactory sensitivity from at least five mammal species are available, only five yielded a significant correlation between olfactory detection thresholds and the number of functional olfactory receptors genes. Also, for the olfactory discrimination performance, no significant correlation was found for any of the 74 relationships between the proportion of successfully discriminated monomolecular odor pairs and the number of functional olfactory receptor genes. While only a rather limited amount of data on olfactory detection thresholds and olfactory discrimination scores in a rather limited number of mammal species is available so far, we conclude that the number of functional olfactory receptor genes may be a predictor of olfactory sensitivity and discrimination performance in mammals.</p>
Performances (survival and growth) and functional traits of tree seedlings along light and water gradients
<p>A foundational assumption of trait-based ecology is that individual performances should be predicted by its functional traits. However, the trait-performance relationships reported in literature were typically weak, probably due to the ignorance of interactions between traits and environments, intraspecific trait variability and hard traits (directly linked to physiological processes of interest). We conducted an experiment of planting 900 seedlings of six tree species separately (one seedling per pot) along experimentally manipulated light and water gradients, monitored their survival and growth, and measured their morphological, photosynthetic and hydraulic traits. Most trait-performance relationships depended on the environments, either marginally changing (weak trait × environment interaction) or even reversing (strong trait × environment interaction) along light or water gradients in our experiment. Such trait × environment interactions were more likely to be detected in growth models using individual-level traits than models using species mean traits, but seedling growth was not better modelled with individual-level traits than species mean traits. Additionally, none of the hard traits (photosynthetic and hydraulic traits) were better predictors than soft traits (morphological traits) modeling seedling growth and survival along light and water gradients. Our study highlights the necessities of considering trait × environment interactions when predicting response of plants to changing environments. The benefits of using individual-level traits or hard traits to predict plant performance might be reduced or even cancelled if their measurement errors are not well controlled.</p>
Data from: Functional traits underlying performance variations in the overwintering of the cosmopolitan invasive plant water hyacinth (Eichhornia crassipes) under climate warming and water drawdown
<p><span>Reports of the Intergovernmental Panel on Climate Change (IPCC) indicate that temperature rise is still the general trend of the global climate in the 21st century. Invasive species may benefit from the increase in temperature, as climate can be viewed as a resource, and the increase in the available resources favors the invasibility of invasive species. This study aimed to assess the overwintering growth of the cosmopolitan invasive plant water hyacinth (<em>Eichhornia crassipes</em>) at its northern boundary. Using <em>E. crassipes</em> as a model plant, a cross-year mesocosm experiment was conducted to determine 17 plant functional traits, including growth, morphological, root topological, photosynthetic and stoichiometric traits, under climate warming (ambient, temperature rises of 1.5°C and 3.0°C) and water drawdown or water withdrawal (water depths of 1 cm, 10 cm and 20 cm) treatments. The overwintering growth of <em>E. crassipes</em> was facilitated by climate warming and proper water drawdown, and climate warming played a leading role. A temperature rises of 3.0°C and a water depth of 10 cm were the most suitable conditions for the overwintering and rooting behavior of the plant. Controlling the temperature to within 1.5°C, an ambitious goal for China, still facilitated the overwintering of <em>E. crassipes</em>. With climate warming, the plant can overwinter successfully, which possibly assists it in producing and spreading new ramets in the vernal flood season. The new rooting behavior induced by ambient low temperature may be viewed as a unique growth adaptation strategy for a niche change, as it helps these plants invade empty niches left by dead free-floating plants on the water surface following winter freezes. With continued global warming, the distribution of the plant may expand northward, and eradication of the plant during the winter water drawdown period may be a more effective strategy.</span></p>
The Effects of Cycle and Treadmill Desks on Work Performance and Cognitive Function in Sedentary Workers: data repository of a review and meta-analysis.
<p>This repository contains additional files related to the review and meta-analysis. The first dataset contains list of search terms. The second dataset contains list od studies included in the meta-analysis. The third dataset contains study evaluation using PEDro scale tool. The fourth dataset contains two additional forrest plots (Effect of cycle and treadmill desks on typing errors and Effect of cycle and treadmill desks on congruent Eriksen Flanker test).</p>
Trade-offs Between Performance Efficiency and Costs While Using Function as a Service for Machine Learning Tasks: A Systematic Literature Review
<p>This repository contains all artifacts that were used for the systematic literature review (SLR) related to a the cost and performance trade-offs when Function as a Service (FaaS) for machine learning (ML) tasks.</p> <p>We selected and analyzed 65 papers and publications that were optained via Scopus. The study took place in 2024 from January to August 2024.</p>
Optical traits perform equally well as directly-measured functional traits in explaining the impact of an invasive plant on litter decomposition
<p>1. Functional traits can help elucidate and predict the impact of invasive plant species on ecosystem functioning. Yet, this approach requires comprehensive and labor-intensive trait collection campaigns, covering intraspecific trait variation of both the invader and native species in the invaded community. One potential way to overcome these logistic constraints is using hyperspectral remote sensing technology to efficiently quantify functional trait values. Although such spectrally derived or 'optical' traits are known to closely link to directly-measured functional traits, little research has explored how well these optical traits perform in assessing invader-induced ecosystem impact. 2. Here, we explored the trait-mediated impact of the invasive Rosa rugosa on litter decomposition and evaluated whether optical traits perform equally well as directly-measured traits in predicting litter decomposition variation. We collected data on species-specific functional traits, leaf hyperspectral reflectance and standardized 'tea bag index' litter decomposition across 25 invaded and 25 uninvaded coastal grassland plots. The selected traits were all potentially related to litter decomposition and covered the leaf economics spectrum, additional leaf structural components and competitive ability. Optical traits were quantified through a combination of a physical radiative transfer model inversion and vegetation indices calculations. 3. Invasion significantly increased the stabilization factor, i.e. the amount of resulting recalcitrant litter. Invader impact on litter decomposition could be entirely explained by changes it induced in the functional traits of the native community, rather than by the invader's traits itself. More specifically, the invader pushed the invaded community towards traits associated with high litter quality. Optical traits performed equally well as directly-measured traits in explaining the invasion impact on the stabilization factor (R2= 41.9% vs. 38.5%). Furthermore, the interpretation of the results based on optical traits resulted in a similar functional understanding of the invader impact. 4. Synthesis: Our results indicate the potential of hyperspectral data to explain changes in ecosystem functioning. The combination of radiative transfer models and vegetation indices allowed to extract all relevant trait information from the hyperspectral data. This framework thus presents a practical short-cut to assess relevant leaf traits, requiring only a limited amount of field trait measurements.</p>
Functional consequences of phenotypic variation between locally adapted populations: swimming performance and ventilation in extremophile fish
<p>Natural selection drives the evolution of traits to optimize organismal performance, but optimization of one aspect of performance can often influence other aspects of performance. Here, we asked how phenotypic variation between locally adapted fish populations affects locomotion and ventilation, testing for functional trade-offs and trait-performance correlations. Specifically, we investigated two populations of livebearing fish (<em>Poecilia mexicana</em>) that inhabit distinct habitat types (hydrogen-sulfide-rich springs and adjacent nonsulfidic streams). For each individual, we quantified different metrics of burst swimming during simulated predator attacks, steady swimming, as well as gill ventilation. Coinciding with predictions, we documented significant population differences in all aspects of performance, with fish from sulfidic habitats exhibiting higher steady swimming performance and higher ventilation capacity, but slower burst swimming. There was a significant functional trade-off between steady and burst swimming, but not between different aspects of locomotion and ventilation. While our findings about population differences in locomotion performance largely parallel the results from previous studies, we provide novel insights about how morphological variation might impact ventilation and ultimately oxygen acquisition. Overall, our analyses provided insights into the functional consequences of previously documented phenotypic variation, which will help to disentangle the effects of different sources of selection that may coincide along complex environmental gradients.</p>
The associations of gene-gene interactions among the 6 variants in 3 genes related to inflammation and endothelial function with carotid stenosis were performed by the GMDR approach
<p><span>The associations of gene-gene interactions among the 6 variants in 3 genes related to inflammation and endothelial function with carotid stenosis were performed by the GMDR approach. The best model for carotid stenosis including <em>ITGA2</em> rs4865756 and <em>HABP2</em> rs7923349 scored 8/10 for cross-validation consistency and 10/10 for sign testing. </span></p>
Data from: Functional Frogs: Using swimming performance as a model to understand natural selection and adaptations
<p>The 'Functional Frogs' 5E lesson plan is an outcome of a Research Experience for Teachers (RET) program funded by the National Science Foundation (NSF). The NSF project integrates research on swimming locomotion in frogs with broader goals of improving science education. The aim of this RET program was to increase scientific literacy in secondary school teachers in Oklahoma, so that they can transfer knowledge from academic research experience to the classroom and thus improve their students' understanding of science. In the this lesson, we focus primarily on comparing the peak velocity of five species of frogs, guiding students to collect data from videos of frogs swimming. The students then make evidence-based interpretations about the morphological traits that may underlie differences in swimming velocity across species. The five species differ both in morphology and ecology, with some inhabiting the aquatic environment more than others. Therefore, the lesson helps guide students through important steps of the scientific method to achieve a greater understanding of how adaptations arise in nature through examining variation in ecology, morphology, and locomotor performance.</p>
Functional Performance Evaluation of NU-FlexSIV Socket
ClinicalTrials.gov study NCT02678247. IPD Sharing: YES. Countries: 1. Publications: 2.
Efficacy and Safety of 4-aminopyridine on Cognitive Performance and Motor Function of Patients With Multiple Sclerosis
ClinicalTrials.gov study NCT02280096. IPD Sharing: NO. Countries: 1. Publications: 6.
Immersive Virtual Reality and Physical Exercise on Cognitive and Functional Performance in Hospitalized Older Patients
ClinicalTrials.gov study NCT06340282. IPD Sharing: YES. Countries: 1. Publications: 2.
Effects of Inspiratory Muscle Training on the Functional Gait Performance of Individuals After Stroke
ClinicalTrials.gov study NCT03171272. IPD Sharing: YES. Countries: 1. Publications: 1.
Study to Assess Functionality, Reliability, and Performance of a Pre-filled Syringe With Benralizumab Administered at Home
ClinicalTrials.gov study NCT02417961. IPD Sharing: Not stated. Countries: 2. Publications: 1.
Multicomponent Training on Functional and Cognitive Performance of Hospitalized Older People
ClinicalTrials.gov study NCT06682598. IPD Sharing: YES. Countries: 1. Publications: 4.
Optical traits perform equally well as directly-measured functional traits in explaining the impact of an invasive plant on litter decomposition
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Data from: Selection for functional performance in the evolution of cuticle hardening mechanisms in insects
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Data from: Will like replace like? linking thermal performance to ecological function across predator and herbivore populations
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Data from: Does the number of functional olfactory receptor genes predict olfactory sensitivity and discrimination performance in mammals?
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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.