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39 results for “performance curve”
Experimental evolution on heat tolerance and thermal performance curves under contrasting thermal selection in Drosophila subobscura
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Thermal performance curves dataset based on <em>Littorina littorea</em> from different locations along a latitudinal gradient: Physiological and life history traits
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Data from: Connecting thermal performance curve variation to the genotype: a multivariate QTL approach
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Data from: Quantitative genetics of temperature performance curves of Neurospora crassa
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Data from: Grow where you thrive, or where only you can survive? An analysis of performance curve evolution in a clade with diverse habitat affinities
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Performance Curves for better Performance Predictions of Parallel Applications in Multicore Environments
<p><br> Model-based performance prediction for parallel applications on architectural models suffers from significant inaccuracies. <br> A major reason is that current model-based performance prediction approaches consider CPU speed as a single metric for multicore performance. </p> <p>Thus, in this paper, we investigate performance-influencing factors for multicore environments, execute extensive experiments to determine their impact on the performance, and extract performance curves for characteristic behaviours.</p> <p>As a result, we present a set of performance curves to software engineers which enables them to increase the performance prediction power in an easy to use manner. <br> Further, we evaluate the approach using 13 SPEC Benchmarks and could show that our approach reduces the prediction error by up to 60% and increases the accuracy by up to 98% for certain scenarios. </p>
Data from: Comparing thermal performance curves across traits: how consistent are they?
Thermal performance curves (TPCs) are intended to approximate the relationship between temperature and fitness, and are commonly integrated into species distributional models for understanding climate change responses. However, TPCs may vary across traits because selection and environmental sensitivity (plasticity) differ across traits or because the timing and duration of the temperature exposure, here termed time-scale, may alter trait variation. Yet the extent to which TPCs vary temporally and across traits is rarely considered in assessments of climate change responses. Using a common garden approach, we estimate TPCs for standard metabolic rate (SMR), and activity in Drosophila melanogaster at three test temperatures (16, 25 and 30 ˚C), using flies from each of six developmental temperatures (16, 18, 20, 25, 28 and 30 ˚C). We examined the effects of time-scale of temperature exposure (mins/hours vs days/weeks) in altering the TPC shape, position and commonly used descriptors of the TPC- thermal optimum (TOPT), thermal limits (TMIN and TMAX) and thermal breadth (TBR). In addition we collated previously published estimates of TPCs for fecundity and egg-to-adult viability in D. melanogaster. We found that the descriptors of the TPCs varied across traits (egg-to-adult viability, SMR, activity and fecundity), but variation in TPCs within these traits was small across studies when measured at the same time-scales. The time-scale at which traits were measured contributed to greater variation in TPCs than the observed variance across traits, although the relative importance of time-scale differed depending on the trait (activity vs fecundity). Variation in the TPC across traits and time-scales suggests that TPCs using single traits may not be an accurate predictor of fitness and thermal adaptation across environments.
Data from:Microgeographic differentiation in thermal performance curves between rural and urban populations of an aquatic insect
The rapidly increasing rate of urbanization has a major impact on the ecology and evolution of species. While increased temperatures are a key aspect of urbanization ("urban heat islands"), we have very limited knowledge whether this generates differentiation in thermal responses between rural and urban populations. In a common garden experiment, we compared the thermal performance curves (TPCs) for growth rate and mortality in larvae of the damselfly Coenagrion puella from three urban and three rural populations. TPCs for growth rate shifted vertically, consistent with the faster-slower theoretical model whereby the cold-adapted rural larvae grew faster than the warm-adapted urban larvae across temperatures. In line with costs of rapid growth, rural larvae showed lower survival than urban larvae across temperatures. The relatively lower temperatures, hence expected shorter growing seasons in rural populations compared to the populations in the urban heat islands likely impose stronger time constraints to reach a certain developmental stage before winter, thereby selecting for faster growth rates. In addition, higher predation rates at higher temperature may have contributed to the growth rate differences between urban and rural ponds. A faster-slower differentiation in TPCs may be a widespread pattern along the urbanization gradient. The observed microgeographic differentiation in TPCs supports the view that urbanization may drive life history evolution. Moreover, because of the urban heat island effect, urban environments have the potential to aid in developing predictions on the impact of climate change on rural populations.
Shape of species climate performance curves affects community response to climate change
<p>Understanding how community composition is reshaped by changing climate is important for interpreting and predicting patterns of community assembly through time or across space. Community composition often does not perfectly correspond to expectations from current environmental conditions, leading to community-climate mismatches. Here, we combine data analysis and theory development to explore how species climate response curves affect the community response to climate change. We show that strong mismatches between community and climate can appear in the absence of demographic delays or limited species pools. Communities simulated using species response curves showed temporal changes of similar magnitude to those observed in natural communities of fishes and plankton, suggesting no overall delays in community change despite substantial unexplained variation from community assembly and other processes. Our approach can be considered as a null model that will be important to use when interpreting observed community responses to climate change and variability.</p>
Safety and Performance of the SUTUREFIX ULTRA and SUTUREFIX CURVED Suture Anchors in Shoulder and Hip Arthroscopic Repair
ClinicalTrials.gov study NCT03691298. IPD Sharing: NO. Countries: 6. Publications: 0.
Data from: Climatic predictors of temperature performance curve parameters in ectotherms imply complex responses to climate change
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Data from:Microgeographic differentiation in thermal performance curves between rural and urban populations of an aquatic insect
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Data from: Comparing thermal performance curves across traits: how consistent are they?
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Shape of species climate performance curves affects community response to climate change
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Data from: Beyond thermal performance curves: modeling time-dependent effects of thermal stress on ectotherm growth rates
Thermal performance curves have been widely used to model the ecological responses of ectotherms to variable thermal environments and climate change. Such models ignore the effects of time dependence—the temporal pattern and duration of temperature exposure—on performance. We developed and solved a simple mathematical model for growth rate of ectotherms, combining thermal performance curves for ingestion rate with the temporal dynamics of gene expression and protein production in response to high temperatures to predict temporal patterns of growth rate in constant and diurnally fluctuating temperatures. We used the model to explore the effects of heat shock proteins on larval growth rates of Manduca sexta. The model correctly captures two empirical patterns for larval growth rate: first, maximal growth rate and optimal temperature decline with increasing duration of temperature exposure; second, mean growth rates decline with time in diurnally fluctuating temperatures at higher mean temperatures. These qualitative results apply broadly to cases where proteins or other molecules produced in response to high temperatures reduce growth rates. We discuss some of the critical assumptions and predictions of the model and suggest potential extensions and alternatives. Incorporating time-dependent effects will be essential for making more realistic predictions about the physiological and ecological consequences of temperature fluctuations and climate change.
Urinary Procedures Performed by Gynecologists, Results and Learning Curves.
ClinicalTrials.gov study NCT05150262. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Learning Curve of Emergency Physicians Performed Lower-extremity Ultrasonography in the Diagnosis of DVT
ClinicalTrials.gov study NCT04913688. IPD Sharing: NO. Countries: 1. Publications: 0.
Junior Emergency Physician Learning Curve to Perform Transcranial Doppler on Brain-damage Patients
ClinicalTrials.gov study NCT03827421. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Beyond thermal performance curves: modeling time-dependent effects of thermal stress on ectotherm growth rates
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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.