IntroductionThe pathogenesis between oxidative stress and periodontitis was correlated. The Oxidative Balance Score (OBS) is a systematic tool to assess the effects of diet and lifestyle in relation to oxidative stress. However, the association between OBS and periodontitis has not been reported previously.MethodsSixteen dietary factors and four lifestyle factors were selected to score the OBS. Multivariate logistic regression and sensitivity analysis were used to investigate the relationship between OBS and periodontitis based on data from the National Health and Nutrition Examination Survey (NHANES) 1999–2018. Subgroup analysis and interaction tests were used to investigate whether this association was stable across populations.ResultsThis study included 3,706 participants. There was a negative linear association between OBS and periodontitis in all participants [0.89 (0.80, 0.97)], and after converting OBS to a quartile variable, participants with OBS in the highest quartile had a 29% lower risk of periodontitis than those with OBS in the lowest quartile [0.71 (0.42, 0.98)]. This negative association differed with respect to age and diabetes.ConclusionThere is a negative association between OBS and periodontitis in US adults. Our results suggest that OBS may be used as a biomarker for measuring periodontitis.
Commutation failure (CF) is a frequent dynamic event at inverter of LCC-HVDC systems caused by AC side faults which can lead to inverter blocking, interruption of active power transfer, and even system blackout. To eliminate CFs and improve system performance, new Flexible LCC-HVDC topologies have been proposed in previous research but with limited analysis on its economic performance. Therefore, to further validate the applicability of Flexible LCC-HVDC topologies, this paper utilizes Life-Cycle Cost Analysis model to analyze the life-cycle cost of inverter stations for conventional LCC-HVDC, Capacitor Commutated Converter based HVDC (CCC-HVDC) topology and Flexible LCC-HVDC topologies including Controllable Capacitor based Flexible LCC-HVDC, AC Filterless Controllable Capacitor based Flexible LCC-HVDC and improved Flexible LCC-HVDC. Through a case study based on a 500 kV, 1000 MW LCC-HVDC scheme, comparison results show that the AC Filterless Controllable Capacitor based Flexible LCC-HVDC topology and the improved Flexible LCC-HVDC topology have lower cost than the conventional LCC-HVDC and CCC-HVDC topologies, which proves that the elimination of CFs can be achieved with reduced cost.
Purpose – The purpose of this paper is to analyze the key influencing factors which affect the performance of M & A and the key influencing factors by establishing grey relational sequence model. The results can not only perfect the current existing theoretical system, but also provide theoretical guide for M & A practice. Design/methodology/approach – First of all, this paper analyzes the M & A performance through the literature reviews, and then establishes the grey model about M & A performance from three influencing factors: profitability, operational and development capacity to analyze its key influencing factors which affect M & A performance. Furthermore, the key factors influencing of M & A performance are analyzed, the results can be obtained through the analysis of the grey relative degree based on six years’ data of state-owned enterprises. Findings – In this paper, some results can be found that ownership restriction and executive compensation can significantly affect corporate profitability and operation ability. M & A and institutional investors can be affected greater from the perspective of development ability and profitability. In general, enterprise scale has little affect on the performance after M & A. Practical implications – With the sustainable development of economic globalization, M & A has become an important strategy for the rapid growth of the enterprise, enlargement market and brand effect. But the performance after M & A in most enterprises does not improve. As the pillar of the national economy, state-owned enterprises have an important impact on China’s economic development and urgently need to be reformed. Originality/value – This paper analyzes the key factors through establishing grey relative sequence model to analyze the correlation of M & A performance and influencing factors, and finds key influencing factors which affect the performance of M & A. The conclusion can provide policy guidance for the improvement of M & A performance in the future.
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