Zhenwen Li
A5051763025- Pulsars and Gravitational Waves Research
- Gamma-ray bursts and supernovae
- Astrophysical Phenomena and Observations
- Energy Load and Power Forecasting
- Geriatric Care and Nursing Homes
- Intergenerational Family Dynamics and Caregiving
- Power Systems and Renewable Energy
- Machine Learning and ELM
- Dementia and Cognitive Impairment Research
Zhuhai Institute of Advanced Technology
2024
Shanxi University
2023
Institute of High Energy Physics
2020
Chinese Academy of Sciences
2020
No robust detection of prompt electromagnetic counterparts to fast radio bursts (FRBs) has yet been obtained, in spite several multi-wavelength searches carried out so far. Specifically, X/gamma-ray are predicted by some models. We planned on searching for gamma-ray the Insight-Hard X-ray Modulation Telescope (Insight-HXMT) data, taking advantage unique combination large effective area keV-MeV energy range and sub-ms time resolution. selected 39 FRBs that were promptly visible from...
A link between magnetars and fast radio burst (FRB) sources has finally been established. In this context, one of the open issues is whether/which extra galactic FRBs exhibit X/gamma-ray outbursts whether it correlated with activity. We aim to constrain possible activity from nearest extragalactic FRB currently known over a broad energy range, by looking for bursts range timescales energies that are compatible being powerful flares magnetars. followed up as-yet source at mere 149 Mpc...
<title>Abstract</title> <bold>Aim: </bold>To provide an overview of the various influencing factors related to positive aspects caring for dementia patients by family caregivers. <bold>Design:</bold> Mixed-methods systematic review. <bold>Methods: </bold>The Preferred Reporting Items Systematic Reviews and Meta-Analyses guided this protocol as reported. Peer-reviewed studies published in English from 1997 present will be searched via information sources, gray literature, following databases:...
In response to the insufficient accuracy of load forecasting in power system and wide range intervals, a combined short-term model considering interval construction historical data is proposed. First, are decomposed into relatively stable subsequences using extreme-point symmetric mode decomposition (ESMD), adaptive dispersion entropy (DE) C–C algorithm proposed recombine similar subsequences. Then, periodicity correlation analysis used determine input set each reconstructed component,...