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  1. 1361
    “…Regardless of need for shorter denture processing time, bench cooling of rapid heat-cured PMMA is essential for acceptable denture base adaptation.…”
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    Comparison of cooling methods on denture base adaptation of rapid heat-cured acrylic using a three-dimensional superimposition technique
  2. 1362
    “…Recently, it has been shown that models identified by dynamic mode decomposition on time-delay coordinates provide linear representations of strongly nonlinear systems, in the so-called Hankel alternative view of Koopman (HAVOK) approach. …”
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    Structured time-delay models for dynamical systems with connections to Frenet–Serret frame
  3. 1363
    “…We applied both linear and non-linear dimensionality reduction algorithms on feature vectors and validated the findings that were obtained manually, namely by listening and examining the spectrograms visually. …”
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    Identification, Analysis and Characterization of Base Units of Bird Vocal Communication: The White Spectacled Bulbul (Pycnonotus xanthopygos) as a Case Study
  4. 1364
    “…Indeed such equations arise quite generally during imbibition processes in porous media. New early-time solutions based on the van Genuchten relative diffusivity function for soils are found and compared with the same for drainage in foams. …”
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    Similarity solutions for early-time constant boundary flux imbibition in foams and soils
  5. 1365
    “…In this paper, a novel approach using Hilbert-Huang transform (HHT) is proposed for joint bearing and range estimation of multiple targets based on a uniform linear array (ULA) of hydrophones. …”
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    Joint Bearing and Range Estimation of Multiple Objects from Time-Frequency Analysis
  6. 1366
    “…These measures are in the time domain, such as model-based and information measures, the frequency domain, and the phase domain. …”
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    Evaluation of Granger Causality Measures for Constructing Networks from Multivariate Time Series
  7. 1367
    por Nikolskaya, E., Hiltunen, Y.
    Publicado 2017
    “…In this paper, a method for the determination of carbon chain lengths of fatty acid mixtures is presented. The approach is based on proton relaxation rates measured by time domain nuclear magnetic resonance. …”
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    Determination of Carbon Chain Lengths of Fatty Acid Mixtures by Time Domain NMR
  8. 1368
    “…Secondly, the height errors are obtained in a slant-range plane between SRTM DEM and the GF-3 generated DEM, which can be used to estimate the baseline error with a linear variation. Then, the real-time orbit can be calibrated by the baseline error. …”
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    InSAR Baseline Estimation for Gaofen-3 Real-Time DEM Generation
  9. 1369
    “…Considering that the time series of the logistic sigmoid function is the solution to a reciprocal linear dynamic model, the exact expectation-maximization algorithm can be applied to infer the hidden states and to learn the parameters of the model. …”
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    Bayesian Sigmoid-Type Time Series Forecasting with Missing Data for Greenhouse Crops
  10. 1370
    “…This paper proposes a low-cost novel method for 2D real-time scan matching based on a reference key frame (RKF). …”
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    A Novel Real-Time Reference Key Frame Scan Matching Method
  11. 1371
    “…The model has been thoroughly tested, especially with infection data from different countries and two of the USA states California and New York, and predicts a linear infection–time relationship in the early stage of Covid infection. …”
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    Consecutive Rate Model for Covid Infections and Deaths and Prediction of Level-Off Time
  12. 1372
    “…A 2‐compartment model with linear and Michaelis‐Menten elimination and 3 transit compartments describing lag time in absorption was utilized. …”
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    Base and Covariate Population Pharmacokinetic Analyses of Dupilumab in Adolescents and Children ≥6 to <12 Years of Age Using Phase 3 Data
  13. 1373
    “…To achieve this goal, we developed a DON test strip based on time-resolved fluorescence immunoassay (TRFIA) and a specific DON monoclonal antibody for the rapid quantification of DON in food crops and feeds. …”
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    Development of a time-resolved immunochromatographic strip for rapid and quantitative determination of deoxynivalenol
  14. 1374
    por Sauppe, Sebastian
    Publicado 2017
    “…An eye tracking experiment on German testing the predictions from linear and hierarchical incrementality about the timing of event encoding and verb planning is reported. …”
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    Word Order and Voice Influence the Timing of Verb Planning in German Sentence Production
  15. 1375
    “…Features from the ERG recordings were extracted using two time–frequency extraction techniques based on the discrete wavelet transform (DWT) and the matching pursuit (MP) decomposition. …”
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    Time–Frequency Analysis of ERG With Discrete Wavelet Transform and Matching Pursuits for Glaucoma
  16. 1376
    “…We conducted CPVI+Line based on the Dallas lesion set (posterior box+anterior line) after baseline CFAE mapping in all patients. …”
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    Does Additional Electrogram‐Guided Ablation After Linear Ablation Reduce Recurrence After Catheter Ablation for Longstanding Persistent Atrial Fibrillation? A Prospective Randomized Study
  17. 1377
    por Brianne, Eldwan
    Publicado 2018
    “…The results of the testbeam data have been compared to various simulations.In the last part of this thesis, a study of the effects of timing cuts on calorimeter response, energy res- olution and shower topology is presented using a full GEANT4-based simulation of the International Large Detector (ILD) concept. …”
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    Time development of hadronic showers in a Highly Granular Analog Hadron Calorimeter
  18. 1378
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    Hydrogen peroxide release and acid-base status in exhaled breath condensate at rest and after maximal exercise in young, healthy subjects
  19. 1379
    “…METHODOLOGIES: We simulate the disease progression based on patient profiles using non‐linear survival methods—non‐linear Cox proportional hazard model (Cox‐PH) and neural multi‐task logistic regression (N‐MTLR). …”
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    Time‐to‐event prediction using survival analysis methods for Alzheimer's disease progression
  20. 1380
    “…Machine learning (ML) allows predictive models to be developed which use non-linear predictors and complex interactions between variables, thus allowing incorporation of trends in measured variables over time; this has made it possible to investigate prognosis throughout an admission. …”
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    Optimal intensive care outcome prediction over time using machine learning
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