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978 results for “Instability”
Data from: Historical climatic instability predicts the inverse latitudinal pattern in speciation rate of modern mammalian biota
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cGAS suppresses genomic instability as a decelerator of replication forks
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Increasing Instability of a Rocky Intertidal Meta-Ecosystem
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Data from: Host-induced genome instability rapidly generates phenotypic variation across Candida albicans strains and ploidy states
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Data from: Developmental instability is genetically correlated with phenotypic plasticity, constraining heritability, and fitness
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Habitat instability and oxidative stress
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Translin facilitates RNA polymerase II dissociation and suppresses genome instability during RNase H2- and Dicer-deficiency (data files)
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Data from: Structural variation and its potential impact on genome instability: novel discoveries in the EGFR landscape by long-read sequencing
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Data from: Total duplication of the small single copy region in the angiosperm plastome: rearrangement and inverted repeat instability in Asarum
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Data from: Range instability leads to cytonuclear discordance in a morphologically cryptic ground squirrel species complex
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Data from: Body size, developmental instability and climate change
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Data from: Rapid movement and instability of an invasive hybrid swarm
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Viral protein instability enhances host-range evolvability
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Deep learning models to detect microsatellite instability in colorectal cancer from histological images
<p>This repository contains trained deep learning models (based on shufflenet) for detecting microsatellite instability (MSI) in histological images of colorectal cancer. Expected input is 512x512x3, output is categorical (MSI vs. not MSI).</p> <p>The models are provided as MAT (Matlab R2019a) files. All models are described in detail in the publication "Clinical-grade detection of microsatellite instability in colorectal cancer by deep learning: an international multicenter study"</p> <p>More information on the original model: <a href="https://www.mathworks.com/help/deeplearning/ref/shufflenet.html">https://www.mathworks.com/help/deeplearning/ref/shufflenet.html</a></p>
The potential for low-grade metamorphism to facilitate fault instability in a geothermal reservoir
<p>Swarms of earthquakes during shale gas exploitation in the Changning area of the Sichuan Basin indicate that hydraulic fracturing induces seismicity both within the target reservoir formation but also to depths of several kilometers below the horizontal well. These remote earthquakes are possibly triggered by total stress perturbations resulting from the hydraulic fracturing. We use a dislocation-based analytical model to simulate multistage hydraulic fracturing of three horizontal wells at a single well pad to explore the spatiotemporal evolution of the total stress perturbations. Results show that the number and distribution of fracturing stages affect both the distribution and magnitude of stress changes and that the stress change diminishes with distance. The undrained injection-induced stress change is less than 10<sup>-3</sup> <i>MPa</i> at distances ≥1 <i>km</i> for single-stage fracturing but reach 10<sup>-1</sup> <i>MPa</i> for multistage fracturing of 30 stages in all three wells. Undrained stress changes scale linearly with the magnitude of fluid leak-off into the formation – halving the effective fracture width halves the induced stress magnitudes and with an identical distribution – limiting the potential for fault reactivation. Scaling analysis for pressure diffusion distal from the reservoir indicates that the short-term (days to weeks) impact is indeed essentially undrained. Estimates for long-term reservoir depletion (months to years) identify a similar induced stress signal of opposite sign but with similar Coulomb potential for reactivation in the long term. Such magnitudes of Coulomb stress changes suggest the possibility of fault reactivation on deep critically-stressed faults at kilometer separation from the injection both in the short term due to stimulation and in the long term as a result of reservoir depletion.</p>
A simulation of stratified shear instabilities in an idealized diurnal warm layer
<p>An animation created from 1-minute snapshots of an MITgcm simulation of a diurnal warm layer forced by 4 m/s winds.</p> <p>Full details in the paper entitled "Stratified shear instabilities in diurnal warm layers" by Kenneth G. Hughes, James N. Moum, Emily L. Shroyer, and William D. Smyth</p>
Data from: The Electric Honeycomb; an investigation of the Rose window instability
The Rose-window instability is a little-explored electrohydrodynamic instability that manifests when a layer of low-conducting oil is placed in an electric field generated by corona discharge in a point-toplane configuration. Above a critical voltage, the instability starts as a single dimple in the oil layer right below the point electrode and subsequently evolves into a characteristic pattern of polygonal cells. In this study we experimentally explore governing parameters that guide the instability and document geometric attributes of the characteristic cellular pattern. The driving force for the instability has been attributed to the buildup of charged ions which in-turn apply an electric pressure on the oil surface. We confirm the charged surface distribution using thermal imaging and demonstrate that the instability can be locally inhibited by preventing charge buildup under an ion shadow.
Data from: Artificial selection reveals heritable variation for developmental instability
Fluctuating (nondirectional) asymmetry (FA) of bilaterally paired structures on a symmetrical organism is commonly used to assay the developmental instability (DI) caused by environmental or genetic factors. Although evidence for natural selection to reduce FA has been reported, evidence that FA (and by extension DI) is heritable is weak. We report the use of artificial selection to demonstrate heritable variation in the fluctuating asymmetry of wing veins in an outbred population of Drosophila melanogaster. Our estimates for the heritability of FA range from 0% to 1% and result in estimates for the heritability of DI as large as 20%, comparable to values typical for life-history traits. These values indicate the existence of evolutionarily relevant genetic variation for DI and the effectiveness of selection for reduced FA suggests that natural selection has not fixed all the genetic variants that would improve developmental stability in these populations.
Data from: Modulation of the cutaneous silent period in the upper-limb with whole-body instability
The silent period induced by cutaneous electrical stimulation of the digits has been shown to be task-dependent, at least in the grasping muscles of the hand. However, it is unknown if the cutaneous silent period is adaptable throughout muscles of the entire upper limb, in particular when the task requirements are substantially altered. The purpose of the present study was to examine the characteristics of the cutaneous silent period in several upper limb muscles when introducing increased whole-body instability. The cutaneous silent period was evoked in 10 healthy individuals with electrical stimulation of digit II of the right hand when the subjects were seated, standing, or standing on a wobble board while maintaining a background elbow extension contraction with the triceps brachii of ~5% of maximal voluntary contraction (MVC) strength. The first excitatory response (E1), first inhibitory response (CSP), and second excitatory response (E2) were quantified as the percent change from baseline and by their individual durations. The results showed that the level of CSP suppression was lessened (47.7 ± 7.7% to 33.8 ± 13.2% of baseline, p = 0.019) and the duration of the CSP inhibition decreased (p = 0.021) in the triceps brachii when comparing the seated and wobble board tasks. For the wobble board task the amount of cutaneous afferent inhibition of EMG activity in the triceps brachii decreased; which is proposed to be due to differential weighting of cutaneous feedback relative to the corticospinal drive, most likely due to presynaptic inhibition, to meet the demands of the unstable task.
Data from: Fragility of foot process morphology in kidney podocytes arises from chaotic spatial propagation of cytoskeletal instability
The kidney podocyte's function depends on finger-like projections (foot processes) that interdigitate with those from neighboring cells to form the glomerular filtration barrier. The integrity of the barrier depends on spatial control of dynamics of actin cytoskeleton in the foot processes. We determined how imbalances in regulation of actin cytoskeletal dynamics can result in pathological morphology. We obtained 3-D electron microscopy images of podocytes and used quantitative features to build dynamical models to investigate how regulation of actin dynamics within foot processes controls local morphology. We find that imbalances in regulation of actin bundling, lead to chaotic spatial patterns that could impair the foot process morphology. Simulation results are consistent with experimental observations for cytoskeletal reconfiguration by dysregulated RhoA or Rac1, and they predict compensatory mechanisms for biochemical stability. We conclude that podocyte morphology, optimized for filtration, is intrinsically fragile, whereby local transient biochemical imbalances may lead to permanent morphological changes associated with pathophysiology.
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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.