Spillover impact of the U.S. monetary policy shock on China\u27s economy: capital flow channel

This study builds an open economy theoretical model with financial frictions to analyse the spillover impact of the U.S. monetary policy shock on China’s economy through capital flow channel. Bayesian technique is employed to estimate the TVP-VAR model and obtain three main results. First, the increase in the U.S. nominal interest rate causes the decline in China’s capital inflow, which has a negative spillover impact on China’s economy and leads to the decline in China’s real output. Second, this negative spillover impact on China’s economy has no structural time-varying characteristics. Third, the pass-through effect from international capital flow to China’s real output is greater than that of international capital flow itsel

Utilisation of Health Services in Poor Rural China: An Analysis Using a Logistic Regression Model

The aim of this article is to explore the determinants of utilisation of health services in poor rural areas of China. Such a systematic identification of the factors which influence the demand for, and use of, health care services may provide information that policy makers can use to target services to those in greatest need and assist in the design of risk-sharing schemes to protect the poor from the adverse impact of health expenditures

The heterogeneity spillover impact of U.S. permanent and temporary monetary shocks on China’s economy

This study adopts the New Keynesian theoretical model to analyse the heterogeneity spillover effect of U.S. permanent and temporary monetary policy shock on China’s economy through an exchange rate channel. It also employs the Bayesian technique to estimate SVAR model and obtain two main results. First, the permanent increase in the nominal interest rate in the U.S. causes Chinese yuan appreciation and U.S. dollar depreciation, which has a negative spillover impact on China’s economy and leads to the decline in China’s real output. Second, the temporary increase in the nominal interest rate in the U. S. leads to Chinese yuan depreciation, which has a positive spillover impact on China’ s macroeconomy and leads to the rise of China’s real output

Probabilistic Charging Power Forecast of EVCS: Reinforcement Learning Assisted Deep Learning Approach

The electric vehicle (EV) and electric vehicle charging station (EVCS) have been widely deployed with the development of large-scale transportation electrifications. However, since charging behaviors of EVs show large uncertainties, the forecasting of EVCS charging power is non-trivial. This paper tackles this issue by proposing a reinforcement learning assisted deep learning framework for the probabilistic EVCS charging power forecasting to capture its uncertainties. Since the EVCS charging power data are not standard time-series data like electricity load, they are first converted to the time-series format. On this basis, one of the most popular deep learning models, the long short-term memory (LSTM) is used and trained to obtain the point forecast of EVCS charging power. To further capture the forecast uncertainty, a Markov decision process (MDP) is employed to model the change of LSTM cell states, which is solved by our proposed adaptive exploration proximal policy optimization (AePPO) algorithm based on reinforcement learning. Finally, experiments are carried out on the real EVCSs charging data from Caltech, and Jet Propulsion Laboratory, USA, respectively. The results and comparative analysis verify the effectiveness and outperformance of our proposed framework.Comment: Accepted by IEEE Transactions on Intelligent Vehicle

High mobility group box-1 in hypothalamic paraventricular nuclei attenuates sympathetic tone in rats at post-myocardial infarction

Background: Inflammation is associated with increased sympathetic drive in cardiovascular diseases. The paraventricular nucleus (PVN) of the hypothalamus is a key regulator of sympathetic nerve activity at post-myocardial infarction (MI). High mobility group box-1 (HMGB1) exhibits inflammatory cytokine like activity in the extracellular space. Inflammation is associated with increased sympathetic drive in cardiovscular diseases. However, the role of HMGB1 in sympathetic nerve activity at post-MI remains unknown. The aim of the present study is to determine the role and mechanism of HMGB1 in the PVN, in terms of sympathetic activity and arrhythmia after MI. Methods: Sprague-Dawley rats underwent left anterior descending coronary artery ligation to induce MI. Anti-HMGB1 polyclonal antibody or control IgG was bilaterally microinjected into the PVN (5 μL every second day for seven consecutive days). Then, renal sympathetic nerve activity (RSNA) was recorded. The association between ventricular arrhythmias (VAs) and MI was evaluated using programmedelectrophysiological stimulation. After performing electrophysiological experiments in vivo, immunohistochemistry was used to detect the distribution of HMGB1, while Western blot was used to detect the expression of HMGB1 and p-ERK in the PVN of MI rats. Results: HMGB1 and p-ERK were upregulated in the PVN in rats at post-MI. Moreover, bilateral PVN microinjection of anti-HMGB1 polyclonal antibody reversed the expression of HMGB1 and p-ERK, and consequently decreased the baseline RSNA and inducible VAs, when compared to those in sham rats. Conclusions: These results suggest that MI causes the translocation of HMGB1 in the PVN, which leads to sympathetic overactivation through the ERK1/2 signaling pathway. The bilateral PVN microinjection of anti-HMGB1 antibody can be an effective therapy for MI-induced arrhythmia