577 research outputs found

    Time-varying character for short-term capital flow from the interest rate aspect in China

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    This study investigates the causal link between short-term capital flow and interest rate differential with the bootstrap Granger full- sample causality and sub-sample rolling-window methods. The empirical results indicate that there is a unidirectional link from interest rate differential to short-term capital flow. However, when considering structural breaks in the above series, the full-sample causality test cannot be relied on. Hence, the time-varying rolling- window method is employed to examine the dynamic causal nexus. Being influenced by the U.S. monetary, world economic situation, Chinese intervention policies and other factors, interest rate differential has influences on short-term capital flow in some periods, but the reverse effect does not exist. Therefore, it is important for authorities to focus on specific backgrounds (e.g., economic situation, monetary policies) and further utilise interest rate and capital control to alleviate negative effects from violent fluctuation of short-term capital flow on the Chinese economy

    Green credit and PM2.5: a time-varying perspective of China

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    The causal link between green credit (GC) and particulate matter 2.5 (PM2.5) is discussed this paper for the case of China using the bootstrap rolling-window Granger causality test. The fresh empirical results show that GC had both positive and negative influences on PM2.5 in two separate sub-sample periods. In turn, PM2.5 positively and consistently affected GC in two sub-sample periods. In addition, time periods without causalities were also found in the sample. These inconsistent conclusions do not provide strong support for the hypothesis that GC and PM2.5 would affect each other throughout the whole sampling period. Government intervention, public environmental awareness, the domestic economic situation, and other factors were fully considered in interpreting the deviations in certain periods. Thus, the major contribution of this study is that the linear assumption of causality was relaxed, which is more in line with China’s realities. Some policies are suggested to further strengthen the construction of the GC framework and establish a multiparticipant GC system. Moreover, PM2.5 is an important reference and can be incorporated into enterprises’ green financing strategy

    Does the covered interest rate parity fit for China?

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    This paper aims to investigate whether the covered interest rate parity (C.I.P.) holds or not through examining the dynamic link between nominal interest rate differential (N.I.R.D.) and nominal exchange rate (N.E.R.) in China. With economic transitions and structural changes existing, we find that the C.I.P. condition using full-sample data does not always hold. Consequently, we apply a time-varying rolling-window approach to revisiting the dynamic causal relationship, and the results show that N.I.R.D. has both positive and negative impacts on N.E.R. in several sub-periods, and in turn, N.E.R. has the same effects on N.I.R.D. for China. Exchange regime reform, currency-specific market risk and capital control are considered in explaining the deviations in some subsample periods. Therefore, empirical results have important implications for distinguishing factors that bring about the C.I.P. deviations and further offers policy suggestions for the Chinese monetary authorit

    Does the purchasing power parity fit for China?

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    This paper aims to assess whether the purchasing power parity (PPP) holds by examining the dynamic link between nominal exchange rate (NER) and relative consumer price (RCP) in China. With economic transitions and structural changes existing, we discover that by using full sample data the PPP does not hold. Consequently, we apply the rolling window causality method in order to reconsider the dynamic causal link, and as a result we observe NER having both positive and negative impacts on RCP in some sub-periods. However, RCP has no effect on the NER, meaning that the PPP does not hold. Trade cost, restrictions and imperfect competition are considered in explaining the deviations in some sub-sample periods. Therefore, this empirical result has important implications for stakeholders to distinguish factors that bring about the PPP deviations and further offers policy suggestions for the Chinese monetary authorit

    Can onshore spot market progress influence offshore N.D.F. market development for the C.N.Y?

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    This study utilises a time-varying wavelet analysis to examine the relationship between the onshore spot market and the offshore non-deliverable forward (N.D.F.) market of the Chinese Yuan (C.N.Y.). Given the presence of structural changes in the two markets, we did not find any stable causality during the sample period. However, in some sub-samples, we found that there is a strong nonlinear causal relationship running from the onshore spot market to the offshore N.D.F. market. Ties between the two markets are closer after the widening of the onshore trading band, first in April 2012, second in March 2014 and again in August 2015. The onshore spot market is heavily influenced by interventions by the People’s Bank of China (P.B.C.). These findings imply that offshore N.D.F. market development is not divorced from onshore development, as developments in the onshore spot market influence the offshore N.D.F. market. The results show that the exchange rate markets for the C.N.Y. are not efficient. Thus, to successfully internationalise the C.N.Y., financial expansion of the onshore spot market should keep pace with the growing offshore N.D.F. market to minimise destabilisation of the C.N.Y

    Terminal Deletion of Chromosome 6q

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    Terminal deletions of chromosome 6q are rare. Clinical features associated with 6q terminal deletion syndrome include psychomotor retardation, seizures, hypotonia, short neck, and facial abnormalities, as well as various case-specific anomalies. Here, we describe a girl with 6q terminal deletion syndrome and unusually short stature. Features of previously described patients are also summarized

    Failure of PCR to Detect Treponema pallidum ssp. pertenue DNA in Blood in Latent Yaws.

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    Yaws, caused by Treponema pallidum ssp. pertenue, is a neglected tropical disease closely related to venereal syphilis and is targeted for eradication by 2020. Latent yaws represents a diagnostic challenge, and current tools cannot adequately distinguish between individuals with true latent infection and individuals who are serofast following successful treatment. PCR on blood has previously been shown to detect T. pallidum DNA in patients with syphilis, suggesting that this approach may be of value in yaws. We performed real-time PCR for Treponema pallidum ssp. pertenue on blood samples from 140 children with positive T. pallidum Particle Agglutination (TPPA) and Rapid Plasma Reagin (RPR) tests and 7 controls (negative serology), all collected as part of a prospective study of yaws in the Solomon Islands. All samples were also tested by a nested PCR for T. pallidum. 12 patients had clinical evidence of active yaws whilst 128 were considered to have latent yaws. 43 children had high titre rapid plasma reagins (RPRs) of ≥1:32. PCR testing with both assays gave negative results in all cases. It is possible that the failure to detect T. pallidum ssp. pertenue in blood reflects lower loads of organism in latent yaws compared to those in latent infection with T. pallidum ssp. pertenue, and/or a lower propensity for haematogenous dissemination in yaws than in syphilis. As the goal of the yaws control programme is eradication, a tool that can differentiate true latent infection from individuals who are serofast would be of value; however, PCR of blood is not that tool

    Impact of Community Mass Treatment with Azithromycin for Trachoma Elimination on the Prevalence of Yaws.

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    BACKGROUND: Community mass treatment with 30 mg/kg azithromycin is central to the new WHO strategy for eradicating yaws. Both yaws and trachoma--which is earmarked for elimination by 2020 using a strategy that includes mass treatment with 20 mg/kg azithromycin--are endemic in the Pacific, raising the possibility of an integrated approach to disease control. Community mass treatment with azithromycin for trachoma elimination was conducted in the Solomon Islands in 2014. METHODS: We conducted a study to assess the impact of mass treatment with 20 mg/kg azithromycin on yaws. We examined children aged 5-14 years and took blood and lesion samples for yaws diagnosis. RESULTS: We recruited 897 children, 6 months after mass treatment. There were no cases of active yaws. Serological evidence of current infection was found in 3.6% (95% CI= 2.5-5.0%). This differed significantly between individuals who had and had not received azithromycin (2.8% vs 6.5%, p=0.015); the prevalence of positive serology in 5-14 year-olds had been 21.7% (95% CI=14.6%-30.9%) 6 months prior to mass treatment. Not receiving azithromycin was associated with an odds of 3.9 for infection (p=0.001). National figures showed a 57% reduction in reported cases of yaws following mass treatment. DISCUSSION: Following a single round of treatment we did not identify any cases of active yaws in a previously endemic population. We found a significant reduction in latent infection. Our data support expansion of the WHO eradication strategy and suggest an integrated approach to the control of yaws and trachoma in the Pacific may be viable

    Computational modeling with forward and reverse engineering links signaling network and genomic regulatory responses: NF-κB signaling-induced gene expression responses in inflammation

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    <p>Abstract</p> <p>Background</p> <p>Signal transduction is the major mechanism through which cells transmit external stimuli to evoke intracellular biochemical responses. Diverse cellular stimuli create a wide variety of transcription factor activities through signal transduction pathways, resulting in different gene expression patterns. Understanding the relationship between external stimuli and the corresponding cellular responses, as well as the subsequent effects on downstream genes, is a major challenge in systems biology. Thus, a systematic approach is needed to integrate experimental data and theoretical hypotheses to identify the physiological consequences of environmental stimuli.</p> <p>Results</p> <p>We proposed a systematic approach that combines forward and reverse engineering to link the signal transduction cascade with the gene responses. To demonstrate the feasibility of our strategy, we focused on linking the NF-κB signaling pathway with the inflammatory gene regulatory responses because NF-κB has long been recognized to play a crucial role in inflammation. We first utilized forward engineering (Hybrid Functional Petri Nets) to construct the NF-κB signaling pathway and reverse engineering (Network Components Analysis) to build a gene regulatory network (GRN). Then, we demonstrated that the corresponding IKK profiles can be identified in the GRN and are consistent with the experimental validation of the IKK kinase assay. We found that the time-lapse gene expression of several cytokines and chemokines (TNF-α, IL-1, IL-6, CXCL1, CXCL2 and CCL3) is concordant with the NF-κB activity profile, and these genes have stronger influence strength within the GRN. Such regulatory effects have highlighted the crucial roles of NF-κB signaling in the acute inflammatory response and enhance our understanding of the systemic inflammatory response syndrome.</p> <p>Conclusion</p> <p>We successfully identified and distinguished the corresponding signaling profiles among three microarray datasets with different stimuli strengths. In our model, the crucial genes of the NF-κB regulatory network were also identified to reflect the biological consequences of inflammation. With the experimental validation, our strategy is thus an effective solution to decipher cross-talk effects when attempting to integrate new kinetic parameters from other signal transduction pathways. The strategy also provides new insight for systems biology modeling to link any signal transduction pathways with the responses of downstream genes of interest.</p
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