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117 results for “reaction time”
Detection of Chlamydia Trachomatis, Neisseria Gonorrhoeae and Mycoplasma Genitalium by Real-time Multiplex Polymerase Chain Reaction (PCR) After Pooling Pharyngeal, Anorectal and Urinary Samples
ClinicalTrials.gov study NCT03568695. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Effects of Dance on Reaction Time in Experienced Older Adults
ClinicalTrials.gov study NCT04680364. IPD Sharing: NO. Countries: 1. Publications: 3.
Emergence Times and Airway Reactions in General Laryngeal Mask Airway Anesthesia
ClinicalTrials.gov study NCT02322502. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Physiotherapy and Reaction Time in Hemophilia
ClinicalTrials.gov study NCT06331091. IPD Sharing: NO. Countries: 1. Publications: 1.
Reaction Time and Postural Control in Individuals With Cystic Fibrosis and Bronchiectasis
ClinicalTrials.gov study NCT03902236. IPD Sharing: NO. Countries: 1. Publications: 2.
Effect of Healthy Lunch and Snack Meal on Reaction Time and Well-being of Physicians and Nursing Staff (Go-No-Go)
ClinicalTrials.gov study NCT01739569. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Saccadic Reaction Time and Preterm Pre-eclampsia
ClinicalTrials.gov study NCT02613793. IPD Sharing: Not stated. Countries: 1. Publications: 11.
The Effects of Exercises With Pilates Ball on Balance, Reaction Time and Dual-task Performance of Kindergarten Children
ClinicalTrials.gov study NCT04575441. IPD Sharing: NO. Countries: 1. Publications: 1.
The Effect of Cognitive-Based Neuromuscular Exercises on Reaction Time, Joint Position Sense, Proprioceptive Force Sense and Balance in Individuals Who Had Anterior Cruciate Ligament Surgery
ClinicalTrials.gov study NCT06755398. IPD Sharing: NO. Countries: 1. Publications: 7.
Do genetic differences in growth thermal reaction norms maintain genetic variation in timing of diapause induction?
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Proton-transfer-reaction time-of-flight mass spectrometry (PTR-TOF-MS) as a tool for studying animal volatile organic compound (VOC) emissions
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Inferring quantity and qualities of superimposed reaction rates from single molecule survival time distributions
<div> <p>Actions of molecular species, for example binding of transcription factors to chromatin, may comprise several superimposed reaction pathways. The number and the rate constants of such superimposed reactions can in principle be resolved by inverse Laplace transformation of the corresponding distribution of reaction lifetimes. However, current approaches to solve this transformation are challenged by photobleaching-prone fluorescence measurements of lifetime distributions. Here, we present a genuine rate identification method (GRID), which infers the quantity, rates and amplitudes of dissociation processes from fluorescence lifetime distributions using a dense grid of possible decay rates. In contrast to common multi-exponential analysis of lifetime distributions, GRID is able to distinguish between broad and narrow clusters of decay rates. We validate GRID by simulations and apply it to CDX2-chromatin interactions measured by live cell single molecule fluorescence microscopy. GRID reveals well-separated narrow decay rate clusters of CDX2, in part overlooked by multi-exponential analysis. We discuss the amplitudes of the decay rate spectrum in terms of frequency of observed events and occupation probability of reaction states. We further demonstrate that a narrow decay rate cluster is compatible with a common model of TF sliding on DNA.</p> </div>
Dataset [ref. paper "Predictive modeling of drivers' brake reaction time through machine learning methods"]
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Fish fluoxetine reaction time
<p>Fluoxetine is an antidepressant medicine causing relaxation and mood improvement in people, with silencing certain personality traits in some cases. The question arise if such phenomena can be observed in non-target organisms like fish. Fluoxetine affects fishes behaviour, however, it is not known if the medicine affects its "personality". This study aimed to evaluate the reaction of the invasive <i>Neogobius fluviatilis</i> and native <i>Gobio gobio</i> individuals to fluoxetine at environmental concentration of 360 ng L<sup>-1</sup>. We prepared three variants of the experiments: (i) behavioural trials with unexposed fishes; (ii) behavioural trials with the same fishes after 21-day of fluoxetine exposure; (iii) behavioural trials with the same fishes after 21-day depuration period i.e. without fluoxetine. The fishes reaction time (RT) i.e. difference in time spent on reaching food with and without the necessity of overcoming the obstacle was analysed. Additionally, the personality: bold or shy, traits of each fish individual, was assigned. The results indicated that environmental concentrations of the antidepressant influenced RT. The average RT of the fishes cultured with fluoxetine was by 7 min shorter in comparison to the non- exposed control. Share of individuals exposed to fluoxetine assigned as bold raised to 71.4% in comparison to 46.4% in non-exposed control. This sheds new light on wild fishes behaviour caught from freshwater. Environmental concentrations of the antidepressant influenced the time of fishes reaction and share individuals assigned as bold. Moreover, 21 day recovery lasting might be not enough to get fluoxetine effect on fishes.</p>
Fig. 2. A-B in Species-level identification of trypanosomes infecting Australian wildlife by High-Resolution Melting - Real Time Quantitative Polymerase Chain Reaction (HRM-qPCR)
Fig. 2. A-B: (A) Derivative melt curves of T. copemani, T. noyesi G8, T. vegrandis G7; (B) Derivative melt curves of T. microti, T. cruzi and T. rangeli.
Fig. 6. A-D in Species-level identification of trypanosomes infecting Australian wildlife by High-Resolution Melting - Real Time Quantitative Polymerase Chain Reaction (HRM-qPCR)
Fig. 6. A-D: (A) Derivative melt curves of wildlife samples containing T. copemani and T. vegrandis G7 infections from woylie tissue and the (B) the respective normalised melt domains; (C) Derivative melt curves of wildlife samples containing mixed infections with T. copemani and T. noyesi G8 in woylie blood; (D) Derivative melt curves showing wildlife samples containing mixed infections of T. copemani, T. noyesi G8 and T. vegrandis G7 in woylie tissue.
Concreteness Effect in Morphosyntax (Reaction Times data)
<p>The data contains reaction times for Serbian sentences containing two types of clausal complements: infinitives and so-called "da+present" constructions (DPCs) combined with subjects with various degrees of concreteness (most concrete - proper names, intermediate - plural common nouns, most abstract - abstract nouns). The data was collected to test the hypothesis that more concrete subjects are processed faster when combined with the more concrete type of clausal complement - DPC, and more abstract subjects are processed faster with the more abstract type of clausal complement - infinitive. The data also contains basic demographic information where any possibility of discovering the personal idenitities of participants is blocked. </p>
Data from: Emerging Representational Geometries in the Visual System Predict Reaction Times for Object Categorization
Recognizing an object takes just a fraction of a second, less than the blink of an eye. Applying multivariate pattern analysis, or "brain decoding", methods to magnetoencephalography (MEG) data has allowed researchers to characterize, in high temporal resolution, the emerging representation of objects that underlie our capacity for rapid recognition. Shortly after stimulus onset, exemplar stimuli cluster by category in high-dimensional activation spaces. In these emerging activation spaces, the decodability of exemplar category varies over time, reflecting the brain's transformation of visual inputs into coherent categorical representations. How do these emerging representations relate to categorization behavior? Recently it has been proposed that the distance of an exemplar representation from a categorical boundary in an activation space is critical for perceptual decision-making, and that reaction times should therefore correlate with distance from the boundary. The predictions of this distance hypothesis have been born out in human inferior temporal cortex (IT), an area of the brain crucial for the representation of object categories. The time of peak decoding is the optimal time for category information to be "read out" from the brain's time varying representation of the stimuli. In this study, we tested the distance hypothesis, and specifically whether or not the brain reads out at the optimal time for choice behavior. Using MEG decoding methods, we show that the distance of a pattern of activity from a decision boundary through a high-dimensional activation space correlates with reaction times in a visual categorization task, but only during the period of peak decodability. Our results suggest the brain uses the optimal stimulus representation for choice behavior, and that neural representations for objects are partially constitutive of the decision process in visual perception.
Effects of Calisthenics and Life Kinetics on Reaction Time, Balance, and Swimming in Male Swimmers
ClinicalTrials.gov study NCT07089563. IPD Sharing: NO. Countries: 1. Publications: 0.
The Effects of Qigong Exercises on Acute Anxiety, Mood, and Reaction Time Among Occupational Therapy Students
ClinicalTrials.gov study NCT07178275. IPD Sharing: NO. Countries: 0. Publications: 5.
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Allen Brain Atlas
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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.
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