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Bearing is the core component of high‐speed rotating machinery. However, the lubricating oil plays an important role in reducing the temperature and the collision between components. It can improve the performance of the bearing under high‐speed rotation. Therefore, based on the theory of oil‐air two‐phase flow, this paper establishes a numerical analysis flow‐heat model of ball bearing under different oil supply. At the same time, the vibration is calculated. The influence of internal oil‐air field and thermal characteristics on vibration is analyzed. The results show that the volume of oil is not uniformly distributed in the bearing chamber. The oil gradually decreases from the outer ring to the inner ring. It is mainly concentrated on the oil‐air inlet. With the increasing of oil supply speed, the temperature of the bearing decreases firstly and then increases, and there is an optimal oil supply speed. The inner ring vibration velocity is basically similar to the temperature trend. Meanwhile, the lowest temperature is mainly concentrated near the oil‐air inlet. The maximum error between simulation results and experimental results is 11.37%. Finally, the reliability of the simulation analysis is verified by the temperature and vibration experiment. It provides some theoretical support for the optimization of oil‐air lubrication parameters of angular contact ball bearings.

Although a number of proteins and genes relevant to schizophrenia have been identified in recent years, few are known about the exact metabolic pathway involved in this disease. Our previous proteomic study has revealed the energy metabolism abnormality in subchronic MK-801 treated rat, a well-established animal model for schizophrenia. This prompted us to further investigate metabolite levels in the same rat model to better delineate the metabolism dysfunctions and provide insights into the pathology of schizophrenia. Metabolomics, a high-throughput investigatory strategy developed in recent years, can offer comprehensive metabolite-level insights that complement protein and genetic findings. In this study, we employed a nondestructive metabolomic approach (1H-MAS-NMR) to investigate the metabolic traits in cortex and hippocampus of MK-801 treated rats. Multivariate statistics and ingenuity pathways analyses (IPA) were applied in data processing. The result was further integrated with our previous proteomic findings by IPA analysis to obtain a systematic view on our observations. Clear distinctions between the MK-801 treated group and the control group in both cortex and hippocampus were found by OPLS-DA models (with R(2)X = 0.441, Q(2)Y = 0.413 and R(2)X = 0.698, Q(2)Y = 0.677, respectively). The change of a series of metabolites accounted for the separation, such as glutamate, glutamine, citrate and succinate. Most of these metabolites fell in a pathway characterized by down-regulated glutamate synthesis and disturbed Krebs cycle. IPA analysis further confirmed the involvement of energy metabolism abnormality induced by MK-801 treatment. Our metabolomics findings reveal systematic changes in pathways of glutamate metabolism and Krebs cycle in the MK-801 treated rats' cortex and hippocampus, which confirmed and improved our previous proteomic observation and served as a valuable reference to the etiology research of schizophrenia.

R651.1+5; 心脏重症围手术期脑损伤是导致行心脏手术的重症患者临床治疗效果不佳、预后不良的重要因素.为了降低心脏重症围手术期脑损伤并发症的发生率,减少脑损伤导致的不良后果,促进心脏外科术后患者的神经系统康复,提高患者生活质量并获得最佳预后,中国医师协会心脏重症专业委员会、中国医药教育协会重症医学专业委员会、中国研究型医院学会神经再生与修复专业委员会心脏重症脑保护学组等组织制定此专家共识,旨在帮助临床医师提高心脏重症围手术期脑损伤诊治水平.本共识包括成人心脏外科围手术期脑损伤的中西医表征及发生机制、监测手段,以及中西医治疗与干预等方面,供临床工作参考.