Swimming exercise improves short‐ and long‐term memories: Time‐course changes
Physiological Reports, 2021 The beneficial effects of exercise training on memory formation are well documented. However, the memory enhancement profile following the time‐course of exercise training remains unknown.
Mahmoud A. Alomari +2 more
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Lower bounds for blow up time of the p-Laplacian equation with damping term [PDF]
Mathematica Moravica, 2021 In this work deals with the p-Laplacian wave equation with damping terms in a bounded domain. Under suitable conditions, we obtain a lower bounds for the blow up time.
Dınç Yavuz +2 more
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Synchronizations of fuzzy cellular neural networks with proportional time-delay
AIMS Mathematics, 2021 In this article, finite-time and fixed-time synchronizations (FFTS) of fuzzy cellular neural networks (FCNNs) with interaction and proportional delay terms have been investigated.
Ankit Kumar +5 more
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Time lags: insights from the U.S. Long Term Ecological Research Network
Ecosphere, 2021 Ecosystems across the United States are changing in complex ways that are difficult to predict. Coordinated long‐term research and analysis are required to assess how these changes will affect a diverse array of ecosystem services.
Edward B. Rastetter +12 more
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Short Term Forecast of COVID-19 cases in Japan Using Time Series Analysis Models
Journal of Computing Research and Innovation, 2022 The new strain of coronavirus (COVID-19) was found to have started in Wuhan, China in late December 2019. The virus has spread to countries all over the world including Japan.
Nor Azriani Mohamad Nor +4 more
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Identification of short-term and long-term time scales in stock markets and effect of structural break [PDF]
Physica A: Statistical Mechanics and its Applications, Volume 545,
1 May 2020, 123612, 2019 The paper presents the comparative study of the nature of stock markets in short-term and long-term time scales with and without structural break in the stock data. Structural break point has been identified by applying Zivot and Andrews structural trend break model to break the original time series (TSO) into time series before structural break (TSB ...
arxiv +1 more source
Novel robust time series analysis for long-term and short-term prediction
Scientific Reports, 2021 Nonlinear phenomena are universal in ecology. However, their inference and prediction are generally difficult because of autocorrelation and outliers.
Hiroshi Okamura +3 more
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Homogenization in elastodynamics with force term depending on time
International Journal of Mathematics and Mathematical Sciences, 2000 We extend the study on the homogenization problem for an elastic material containing a distributed array of gas bubbles to the case when the body force depends on time.
Ping Wang
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Time continuum and true long-term ecology: from theory to practice
Frontiers in Ecology and Evolution, 2014 The need for long-term studies to understand ecological dynamics is widely recognised but has not been satisfactorily addressed to date. The development of long-term (LT) observatories has aimed to improve the situation, but the main handicaps are that ...
Valentí eRull
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Integrating Long and Short‐Term Time Dependencies in Simulation‐Based Seismic Hazard Assessments
Earth and Space Science, 2022 Conventional probabilistic seismic hazard analysis (PSHA) only considers mainshock events and uses a time‐independent earthquake rupture forecast to describe the occurrence of mainshocks. This approach neglects the long‐term time‐dependency of mainshocks
Salvatore Iacoletti +2 more
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