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Shifting Process Control for Two-Speed Automated Mechanical Transmission of Pure Electric Vehicles
Datong Qin,Mingyao Yao,Shu-Jiang Chen,류성기 한국정밀공학회 2016 International Journal of Precision Engineering and Vol.17 No.5
Shifting processes are analyzed for a pure electric vehicle equipped with a two-speed automated mechanical transmission without a clutch in order to study the relationship between shifting jerk, shifting time, and synchronizer tooth grinding. Results show that shifting time has a negative correlation with shifting jerk, which is related to the torque variation rates of the driving and shifting motors. Tooth grinding of the synchronizer is related to the relative speed between the synchronizer sleeve and lock ring during shifting processes. Based on the analysis, a shifting control strategy for pure electric vehicles is proposed in order to decrease shifting jerk, avoid tooth grinding of the synchronizer, and shorten shifting time. Experimental results obtained show that the proposed control strategy can achieve smooth, reliable, and quick shifts for an electric vehicle.
Review : Alpha-Ketoglutarate: Physiological Functions and Applications
( Nan Wu ),( Mingyao Yang ),( Uma Gaur ),( Huailiang Xu ),( Yongfang Yao ),( Diyan Li ) 한국응용약물학회 2016 Biomolecules & Therapeutics(구 응용약물학회지) Vol.24 No.1
Alpha-ketoglutarate (AKG) is a key molecule in the Krebs cycle determining the overall rate of the citric acid cycle of the organism. It is a nitrogen scavenger and a source of glutamate and glutamine that stimulates protein synthesis and inhibits protein degradation in muscles. AKG as a precursor of glutamate and glutamine is a central metabolic fuel for cells of the gastrointestinal tract as well. AKG can decrease protein catabolism and increase protein synthesis to enhance bone tissue formation in the skeletal muscles and can be used in clinical applications. In addition to these health benefits, a recent study has shown that AKG can extend the lifespan of adult Caenorhabditis elegans by inhibiting ATP synthase and TOR. AKG not only extends lifespan, but also delays age-related disease. In this review, we will summarize the advances in AKG research field, in the content of its physiological functions and applications.
Alpha-Ketoglutarate: Physiological Functions and Applications
Wu, Nan,Yang, Mingyao,Gaur, Uma,Xu, Huailiang,Yao, Yongfang,Li, Diyan The Korean Society of Applied Pharmacology 2016 Biomolecules & Therapeutics(구 응용약물학회지) Vol.24 No.1
Alpha-ketoglutarate (AKG) is a key molecule in the Krebs cycle determining the overall rate of the citric acid cycle of the organism. It is a nitrogen scavenger and a source of glutamate and glutamine that stimulates protein synthesis and inhibits protein degradation in muscles. AKG as a precursor of glutamate and glutamine is a central metabolic fuel for cells of the gastrointestinal tract as well. AKG can decrease protein catabolism and increase protein synthesis to enhance bone tissue formation in the skeletal muscles and can be used in clinical applications. In addition to these health benefits, a recent study has shown that AKG can extend the lifespan of adult Caenorhabditis elegans by inhibiting ATP synthase and TOR. AKG not only extends lifespan, but also delays age-related disease. In this review, we will summarize the advances in AKG research field, in the content of its physiological functions and applications.
Multi-objective optimization of drive gears for power split device using surrogate models
Jixin Wang,Wanghao Shen,Zhongda Wang,Mingyao Yao,Xiaohua Zeng 대한기계학회 2014 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.28 No.6
Power split device (PSD) is a key component in the energy coupling and decoupling of parallel-series hybrid electric vehicle. This paperproposes a multi-objective optimization method to achieve optimal balance solution among the volume, contact stress, and frictionalenergy dissipation of PSD drive gears, some of which are implicit with respect to design variables. To avoid the time-consuming problemof finite element analysis used to solve nonlinear responses, surrogate models are adopted to generate approximate expressions of designvariables. Pareto-optimal solutions of PSD are obtained using multi-island genetic algorithm (GA), non-dominated sorting GA-II(NSGA-II), and multi-objective particle swarm optimization algorithm. The performances of PSD before and after optimization are compared. Results indicate that the proposed method is effective, and NSGA-II achieves higher optimizing efficiency in solving the multiobjectiveoptimization problem of PSD than the other algorithms.
Ming Yao,Jiali Zhou,Yicheng Zhu,Yinxin Zhang,Xia Lv,Ruixue Sun,Ao Shen,Haitao Ren,Liying Cui,Hongzhi Guan,Honglong Wu 대한신경과학회 2016 Journal of Clinical Neurology Vol.12 No.4
Background and Purpose Encephalitis caused by Listeria monocytogenes (L. monocyto¬genes) is rare but sometimes fatal. Early diagnosis is difficult using routine cerebrospinal flu¬id (CSF) tests, while next-generation sequencing (NGS) is increasingly being used for the detection and characterization of pathogens. Methods This study set up and applied unbiased NGS to detect L. monocytogenes in CSF collected from three cases of clinically suspected listeria meningoencephalitis. Results Three cases of patients with acute/subacute meningoencephalitis are reported. Magnetic resonance imaging and blood cultures led to a suspected diagnosis of L. monocy¬togenes, while the CSF cultures were negative. Unbiased NGS of CSF identified and se¬quenced reads corresponding to L. monocytogenes in all three cases. Conclusions This is the first report highlighting the feasibility of applying NGS of CSF as a diagnostic method for central nervous system (CNS) L. monocytogenes infection. Routine application of this technology in clinical microbiology will significantly improve diagnostic methods for CNS infectious diseases.