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814 results for “Time Analysis”
Data from: Novel Fourier quadrature transforms and analytic signal representations for nonlinear and non-stationary time series analysis
The Hilbert transform (HT) and associated Gabor analytic signal (GAS) representation are well-known and widely used mathematical formulations for modeling and analysis of signals in various applications. In this study, like the HT, to obtain quadrature component of a signal, we propose novel discrete Fourier cosine quadrature transforms (FCQTs) and discrete Fourier sine quadrature transforms (FSQTs), designated as Fourier quadrature transforms (FQTs). Using these FQTs, we propose sixteen Fourier quadrature analytic signal (FQAS) representations with following properties: (1) real part of eight FQAS representations is the original signal and imaginary part of each representation is FCQT of real part, (2) imaginary part of eight FQAS representations is the original signal and real part of each representation is FSQT of imaginary part, (3) like the GAS, Fourier spectrum of the all FQAS representations has only positive frequencies, however unlike the GAS, real and imaginary parts of FQAS representations are not orthogonal. The Fourier decomposition method (FDM) is an adaptive data analysis approach to decompose a signal into a set Fourier intrinsic band functions. This study also proposes new formulations of the FDM using discrete cosine transform with GAS and FQAS representations, and demonstrate its efficacy for improved time-frequency-energy representation and analysis of many real-life nonlinear and non-stationary signals.
Data from: A phylogenomic analysis of the role and timing of molecular adaptation in the aquatic transition of cetartiodactyl mammals
Recent studies have reported multiple cases of molecular adaptation in cetaceans related to their aquatic abilities. However, none of these has included the hippopotamus, precluding an understanding of whether molecular adaptations in cetaceans occurred before or after they split from their semi-aquatic sister taxa. Here, we obtained new transcriptomes from the hippopotamus and humpback whale, and analysed these together with available data from eight other cetaceans. We identified more than 11 000 orthologous genes and compiled a genome-wide dataset of 6845 coding DNA sequences among 23 mammals, to our knowledge the largest phylogenomic dataset to date for cetaceans. We found positive selection in nine genes on the branch leading to the common ancestor of hippopotamus and whales, and 461 genes in cetaceans compared to 64 in hippopotamus. Functional annotation revealed adaptations in diverse processes, including lipid metabolism, hypoxia, muscle and brain function. By combining these findings with data on protein–protein interactions, we found evidence suggesting clustering among gene products relating to nervous and muscular systems in cetaceans. We found little support for shared ancestral adaptations in the two taxa; most molecular adaptations in extant cetaceans occurred after their split with hippopotamids.
Data from: Phylogeny, ecology and deep time: 2D outline analysis of anuran skulls from the Early Cretaceous to Recent
Anurans have a long fossil record, spanning from the Early Jurassic to Recent. However, specimens are often severely flattened, limiting their inclusion in quantitative analyses of morphological evolution. We perform a two-dimensional morphometric analysis of anuran skull outlines, incorporating 42 Early Cretaceous to Miocene species, as well as 93 extant species in 32 families. Outlines were traced in tpsDig2 and analysed with elliptical Fourier analysis. Fourier coefficients were used in MANOVAs, phylogenetic MANOVAs (as significant phylogenetic signal was found) and disparity analyses across multiple ecological and life history groupings. The Neotropical realm showed higher disparity than the Australian, Palearctic and Oriental realms (p = 0.007, 0.013, 0.038, respectively), suggesting concordance of disparity and diversity. Developmental strategy had a weak effect on skull shape (R2 = 0.02, p = 0.039), and disparity was similar in metamorphosing and direct developing frogs. Ecological niche was a significant discriminator of skull shape (F = 1.43, p = 0.004), but not after phylogenetic correction. Evolutionary allometry had a small but significant influence on the cranial outlines of the combined extant and fossil dataset (R2 = 0.05, p = 0.004). Finally, morphospace occupation appears to have changed over time (F = 1.59, p = 5 × 10-10). However, as with ecological signal, this shift appears to be largely driven by phylogeny and was not significant after phylogenetic correction (R2 = 0.26, p = 0.22). This study thus suggests that frog skull evolution is shaped more by phylogenetic constraints than by ecology.
Toothbrushing behavior over time: a correlational analysis of repeatedly assessed brushing performance
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Supplementary material 1 from: Gruntman M, Segev U (2024) Effect of residence time on trait evolution in invasive plants: review and meta-analysis. NeoBiota 91: 99-124. https://doi.org/10.3897/neobiota.91.109251
Supplementary information
Analysis of the performance of Faster R-CNN and YOLOv8 in detecting fishing vessels and fishs in real time
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СOMPARATIVE ANALYSIS OF THE VERBALIZERS OF THE LINGUOCULTURAL CONCEPT OF "TIME" IN ENGLISH AND UZBEK
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RESTORATION AND ANALYSIS OF ENGLISH TRANSLATIONS OF LEXEMAS OF MEASUREMENT OF TIME UNITS IN "BOBURNOMA"
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Cleaned data, cleaning code and analysis code for 'Feedback timing affects L2+ perceptual vowel acquisition'
<p>This dataset uses 4.3.1 and the analysis code requires use of the groundhog package (Simonsohn & Gruson, 2021) to aid reproducibility.</p>
The time between symptom onset and various clinical outcomes: A statistical analysis of MERS-CoV patients in Saudi Arabia
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The Chinese Pulsar Timing Array Data Release I: Single pulsar noise analysis
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Single time-point analysis of product and substrate inhibition
<p>Spectrophotometric Monitoring of Hydrolysis Kinetics</p>
Data from: Analysis and prediction of effects of the Manchester Triage System on patient waiting times in an emergency department by means of agent-based simulation
A simulation of complex clinical processes is a challenging task and suitable methods need to be found which can capture the influence of relevant factors and their relationships. The Manchester triage system (MTS) is widely used in German emergency departments (ED), however the impact on patient waiting times remain difficult to predict. The purpose of this work is the assessment of MTS particularly with regard to the waiting times of different degrees of severity. The methodology of agent based simulation was found suitable for the ED domain and the agent based simulation tool SeSAm was chosen due to its intuitive user interface and easy adaption of the simulation models. Altogether four agent classes could be implemented based on the information derived from a process model. The model permits a dynamic simulation of the ED processes and a reliable assessment of patient waiting times. In addition, the implementation of a triage nurse allowed the simulation of the triage process and a direct comparison to the current state without a standardized triage procedure. Essential influencing factors (e.g. number of patients, manning level) were implemented and their effects on the ED processes and patient waiting times assessed. The simulation runs delivered correct results based on the underlying process model and the collected statistical data. The process flow and the waiting times of an ED could be mapped exactly. In all simulation runs the waiting times of high triage levels (MTS-levels 1 and 2) could be reduced. Especially patients of MTS-level 2 in the waiting area of the ED benefit significantly from the implementation of a standardized triage procedure and the associated permanent monitoring.
Simulation Circuits for A Time-Domain Approach to Electrical Impedance Tomography using Numerical Analysis of the Step Response
<p>SImulation circuits for the paper of the same name presented in the conference.</p>
Fig. 3 in Global metabolome analysis of Dunaliella tertiolecta, Phaeobacter italicus R11 Co-cultures using thermal desorption - Comprehensive two-dimensional gas chromatography - Time-of-flight mass spectrometry (TD-GC×GC-TOFMS)
Fig. 3. Example Total Ion Current (TIC) chromatograms from each sample class.
A Time to Cardiovascular Event Analysis Comparing Tocilizumab to Other Biologics in Patients With Rheumatoid Arthritis (RA)
ClinicalTrials.gov study NCT02797769. IPD Sharing: Not stated. Countries: 0. Publications: 2.
Time-Dynamic Analysis of Gait Variability in Children With Spastic Cerebral Palsy ( SCP-TIME )
ClinicalTrials.gov study NCT07316985. IPD Sharing: YES. Countries: 1. Publications: 0.
Effect of Caloric Content and Timing of Meal on Postprandial Substrate Oxidation and Pulse Wave Analysis
ClinicalTrials.gov study NCT07122765. IPD Sharing: YES. Countries: 1. Publications: 0.
An Outcome Analysis for Stereotactic Body Radiation Therapy (SBRT) Treatment of Non-Small Lung Cancer Patients Using 4D PET/CT With Real-Time Position Management (RPM™) System and a Concomitant Evalua
ClinicalTrials.gov study NCT02067858. IPD Sharing: NO. Countries: 1. Publications: 0.
Data for analysis of snowmelt timing as a determinant of inflow mixing in Lake Tahoe
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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.