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Jingdong Suo,Xianlei Shen,Jinyu He,Haoran Sun,Yu Shi,Rongxin He,Xiao Zhang,Xijie Wang,Yuandi Xi,Wannian Liang 한국역학회 2023 Epidemiology and Health Vol.45 No.-
OBJECTIVES: The long-term trends of cognitive function and its associations with physical performance remain unclear, particularly in Asian populations. The study objectives were to determine cognitive trajectories in middle-aged and elderly Chinese individuals, as well as to examine differences in physical performance across cognitive trajectory groups. METHODS: Data were extracted from the China Health and Retirement Longitudinal Study. A total of 5,701 participants (47.7% male) with a mean age of 57.8 (standard deviation, 8.4) years at enrollment were included. A group-based trajectory model was used to identify cognitive trajectory groups for each sex. Grip strength, repeated chair stand, and standing balance tests were used to evaluate physical performance. An ordered logistic regression model was employed to analyze differences in physical performance across cognitive trajectory groups. RESULTS: Three cognitive trajectory groups were identified for each sex: low, middle, and high. For both sexes, higher cognitive trajectory groups exhibited smaller declines with age. In the fully adjusted model, relative to the low trajectory group, the odds ratios (ORs) of better physical performance in the middle cognitive group were 1.37 (95% confidence interval [CI], 1.17 to 1.59; p<0.001) during follow-up and 1.40 (95% CI, 1.20 to 1.64; p<0.001) at the endpoint. The ORs in the high trajectory group were 1.94 (95% CI, 1.61 to 2.32; p<0.001) during follow-up and 2.04 (95% CI, 1.69 to 2.45; p<0.001) at the endpoint. CONCLUSIONS: Cognitive function was better preserved in male participants and individuals with higher baseline cognitive function. A higher cognitive trajectory was associated with better physical performance over time.
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Ordinal Optimization Theory Based Planning for Clustered Wind Farms Considering the Capacity Credit
Yi Wang,Ning Zhang,Chongqing Kang,Qianyao Xu,Hui Li,Jinyu Xiao,Zhidong Wang,Rui Shi,Shuai Wang 대한전기학회 2015 Journal of Electrical Engineering & Technology Vol.10 No.5
Wind power planning aims to locate and size wind farms optimally. Traditionally, wind power planners tend to choose the wind farms with the richest wind resources to maximize the energy benefit. However, the capacity benefit of wind power should also be considered in large-scale clustered wind farm planning because the correlation among the wind farms exerts an obvious influence on the capacity benefit brought about by the combined wind power. This paper proposes a planning model considering both the energy and the capacity benefit of the wind farms. The capacity benefit is evaluated by the wind power capacity credit. The Ordinal Optimization (OO) Theory, capable of handling problems with non-analytical forms, is applied to address the model. To verify the feasibility and advantages of the model, the proposed model is compared with a widely used genetic algorithm (GA) via a modified IEEE RTS-79 system and the real world case of Ningxia, China. The results show that the diversity of the wind farm enhances the capacity credit of wind power.
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Ordinal Optimization Theory Based Planning for Clustered Wind Farms Considering the Capacity Credit
Wang, Yi,Zhang, Ning,Kang, Chongqing,Xu, Qianyao,Li, Hui,Xiao, Jinyu,Wang, Zhidong,Shi, Rui,Wang, Shuai The Korean Institute of Electrical Engineers 2015 Journal of Electrical Engineering & Technology Vol.10 No.5
Wind power planning aims to locate and size wind farms optimally. Traditionally, wind power planners tend to choose the wind farms with the richest wind resources to maximize the energy benefit. However, the capacity benefit of wind power should also be considered in large-scale clustered wind farm planning because the correlation among the wind farms exerts an obvious influence on the capacity benefit brought about by the combined wind power. This paper proposes a planning model considering both the energy and the capacity benefit of the wind farms. The capacity benefit is evaluated by the wind power capacity credit. The Ordinal Optimization (OO) Theory, capable of handling problems with non-analytical forms, is applied to address the model. To verify the feasibility and advantages of the model, the proposed model is compared with a widely used genetic algorithm (GA) via a modified IEEE RTS-79 system and the real world case of Ningxia, China. The results show that the diversity of the wind farm enhances the capacity credit of wind power.
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Jin Yu,Xiao-Yan Wang,Qiang Wei,Ben-Ke Kuai 한국식물학회 2010 Journal of Plant Biology Vol.52 No.4
Probenazole (PBZ) is a highly effective chemical inducer of systemic acquired resistance (SAR). We found that the transcript level of NPR1, a key regulator of SAR,was significantly up-regulated upon PBZ treatment in Arabidopsis. To identify cis-elements involved in this response, a series of 5′ deleted fragments in the upstream region of NPR1 were fused to the GUS gene, and the resultant constructs were then introduced into tobacco plants. We have shown that even the shortest of these fragments was able to drive the expression of GUS at a similar level to that of the largest fragment after PBZ treatment. Further mutation analysis within the fragment showed only when both of the two W-boxes present at -128and -123 were mutated could the responsiveness to PBZ treatment be completely abolished. These results suggest that these two W-boxes are necessary for the full responsiveness of AtNPR1 to PBZ treatment in tobacco plants. This requirement implies that one or more of WRKY transcription factors may play a key role in the positive regulation of PBZ-induced SAR, mediated by AtNPR1. Moreover, the characteristic cross-species responsiveness of the AtNPR1 upstream region to PBZ treatment demonstrates that a conserved regulatory mechanism of PBZinduced SAR may exist in diverse plant species.
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The Pathway and Regulation of Salicylic Acid Biosynthesis in Probenazole-Treated Arabidopsis
Jin Yu,Jiong Gao,Xiao Yan Wang,Qiang Wei,Li Feng Yang,Kai Qiu,Ben Ke Kuai 한국식물학회 2010 Journal of Plant Biology Vol.53 No.6
Probenazole (PBZ; 3-allyloxy-1,2-benzisothiazole-1,1-dioxide) is a highly effective chemical inducer of systemic-acquired resistance (SAR). It has been used widely to protect rice plants against the rice blast fungus Magnaporthe grisea. Previous studies have shown that PBZ induces SAR through enhanced accumulation of salicylic acid (SA). Plants synthesize SA by either a pathway that uses phenylalanine as substrate or another that involves isochorismate. To clarify how SA is produced in PBZ-treated Arabidopsis, we examined the expression patterns and enzyme activities of phenylalanine ammonia lyase (PAL) and isochorismate synthase (ICS), which are the main components of the phenylalanine and isochorismate pathways, respectively. PBZ exposure significantly improved the accumulation of SA and increased ICS activity. In the sid2–2 mutant, which has a defect in ICS1,PBZ had no effect on the level of endogenous SA or activity of ICS. In contrast, PAL activity and the expression of most PAL genes were down-regulated by such treatment in wild-type plants. These results suggest that SA is mainly synthesized via the ICS-mediated pathway in Arabidopsis.
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