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Towards a green world: how new urbanization affects green total factor carbon productivity
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Analysis of health expenditures in China from 2000 to 2019 compared with the world and upper-middle-income countries
Published 2025-02-01“…The goal is to provide a theoretical basis for the Chinese government to adjust and formulate health-related policies.MethodsAggregate time-series data were collected from the World Health Organization (WHO) and the World Bank (WB) Open Data sources from 2000 to 2019. …”
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QTFN: A General End-to-End Time-Frequency Network to Reveal the Time-Varying Signatures of the Time Series
Published 2024-09-01“…Nonstationary time series are ubiquitous in almost all natural and engineering systems. …”
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Robust Time-Series InSAR Deformation Monitoring by Integrating Variational Mode Decomposition and Gated Recurrent Units
Published 2025-01-01“…Then, by eliminating the seasonal component decomposed by VMD from the original time series, the time series is reconstructed, effectively removing the influence of annual seasonal variations. …”
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Uptake and safety of Sotrovimab for prevention of severe COVID-19 in a cohort and self-controlled case series study
Published 2025-01-01“…Trials have shown it to have mild to moderate side effects, however, evidence regarding its safety in real-world settings remains insufficient. Methods Descriptive and multivariable logistic regression analyses were conducted to evaluate uptake, and a self-controlled case series analysis performed to measure the risk of hospital admission (hospitalisation) associated with 49 pre-specified suspected adverse outcomes in the period 2–28 days post-Sotrovimab treatment among eligible patients treated between December 11, 2021 and May 24, 2022. …”
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Global Governance of Biogenic Threats
Published 2021-04-01“…The authors are convinced of the need to develop a project of an “ideal future” taking into account the identified trends in the transformation of the political organization of the world and the effects of megatrends, which implies the further development of scientific research and discussions, as well as a series of international negotiating forums on the future structure of the world and the corresponding pattern of global governance.…”
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Evaluating the World Health Organization’s Hearts Model for Hypertension and Diabetes Management: A Pilot Implementation Study in Guatemala
Published 2025-01-01“…When baseline data were available, we analyzed secondary outcomes as the net change from baseline or using an interrupted time series approach. Results: The study enrolled 964 patients, of whom 58.8% had hypertension only, 30.4% had diabetes only, and 10.8% had both conditions. …”
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Investigation of the Spatial Clustering Properties of Seismic Time Series: A Comparative Study from Shallow to Intermediate-Depth Earthquakes
Published 2018-01-01“…With this modified DFA, seismic time series (m≥4.5) pertaining to most seismically active regions of the world from the year 1972 up to the year 2016 are comparatively analyzed. …”
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Enhanced Adaptive Neural-Fuzzy Inference System for Dynamic Time Series Prediction Using Self-Feedback and Hybrid Training
Published 2024-03-01“…The proposed technique is applied to predict and model multiple nonlinear and chaotic time series from real-world scenarios. Comparative analyses with recent works demonstrate the superior performance of the proposed method, particularly in terms of the prediction total error criterion for time series modeling and forecasting. …”
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Geometric Brownian Motion-Based Time Series Modeling Methodology for Statistical Autocorrelated Process Control: Logarithmic Return Model
Published 2022-01-01“…Then, the model was employed and tested on a real-world autocorrelated data, whereby the results were assessed and benchmarked with the ARIMA model. …”
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Evaluating programmatic reactive focal drug administration impact on malaria incidence in northern Senegal: an interrupted time series analysis
Published 2025-01-01“…Abstract Background The World Health Organization conditionally recommends reactive drug administration to reduce malaria transmission in settings approaching elimination. …”
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Development of Deep Learning-Based Algorithm for Extracting Abnormal Deceleration Patterns
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Multi-task learning load time series situational prediction based on gated recurrent neural networks considering spatial correlations
Published 2025-01-01“…The results indicate that this method effectively captures complex relationships within the data, leading to more accurate load forecasting. …”
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Breast cancers with neuroendocrine differentiation: Retrospective case studies series from a single institution based on the 2019 WHO classification
Published 2024-01-01“…Background: The World Health Organization's fifth edition of tumor series classification was published in 2019 and adopted the term ‘Neuroendocrine neoplasm (NEN)’ to encompass all tumor classes with predominant neuroendocrine differentiation (NED). …”
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Interrupted time series datasets from studies investigating the impact of interventions or exposures in public health and social science: a data note
Published 2025-01-01“…There are many statistical methods that can be used to analyse ITS data and to meta-analyse their results. We undertook two empirical studies to investigate: (i) how effect estimates (and associated statistics) compared when six statistical methods were applied to 190 real-world datasets; and (ii) how meta-analysis effect estimates (and associated statistics) compared when the combinations of two ITS analysis methods and five meta-analysis methods were applied to 17 real-world meta-analyses including 283 ITS datasets. …”
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A Self-Adaptive Frequency Decomposition Approach for Denoising to Enhance Data-Driven Learning of Cyclic Time Series in Medical Signal Estimation
Published 2025-01-01“…In recent advancements within the data-driven world, cyclic time series have become indispensable in industries such as healthcare, manufacturing, and energy. …”
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