单值度量广义逆的扰动分析

本文利用有界齐性算子给出Banach空间上的有界线性算子的单值度量广义逆的扰动分析.     

ESR测年法在黄土中的应用及存在的一些问题

ESR测年法近年来迅速发展,填补了铀系不平衡法及14C法所遗留下来的一些空白.介绍ESR法测年的基本原理及特点,重点阐述在黄土测年中的实际应用及存在的一些问题:石英类型的选择,年龄较轻黄土的ESR信号的选择,初始剂量的测定,宇宙射线对样品的贡献,石英重结晶作用对年剂量的影响,放射性元素的衰变规律的校正,含水量的校正,样品周围放射性元素的迁移等.     

基于有限时间LaSalle不变集的PMSM混沌控制

为有效地抑制永磁同步电动机系统的混沌行为,基于有限时间理论和LaSalle不变集定理设计了一种自适应控制器。分析了永磁同步电动机系统的混沌动力学特性,确定了系统处于不同运动状态的参数域;在理论上证明该控制器能够在有限时间内稳定到平衡点且能自动跟踪系统平衡点;仿真实验证明,该控制方案形式简单,快速性更好,稳定性更高。研究结果对保证永磁同步电动机的稳定运行具有重要意义。     

Forecasting stock volatility in the presence of extreme shocks: Short-term and long-term effects

This paper introduces a novel generalized autoregressive conditional heteroskedasticity–mixed data sampling–extreme shocks (GARCH-MIDAS-ES) model for stock volatility to examine whether the importance of extreme shocks changes in different time ranges. Based on different combinations of the short- and long-term effects caused by extreme events, we extend the standard GARCH-MIDAS model to characterize the different responses of the stock market for short- and long-term horizons, separately or in combination. The unique timespan of nearly 100 years of the Dow Jones Industrial Average (DJIA) daily returns allows us to understand the stock market volatility under extreme shocks from a historical perspective. The in-sample empirical results clearly show that the DJIA stock volatility is best fitted to the GARCH-MIDAS-SLES model by including the short- and long-term impacts of extreme shocks for all forecasting horizons. The out-of-sample results and robustness tests emphasize the significance of decomposing the effect of extreme shocks into short- and long-term effects to improve the accuracy of the DJIA volatility forecasts.     

NGDcrm:a numeric graph dependency-based conflict resolution method for knowledge graph

Knowledge graph(KG)conflict resolution is to solve knowledge conflicts problem in the con-struction of KG.Aiming at the problem of KG conflict resolution,a KG c...     

Engineering of multiferroic BiFeO3 grain boundaries with head-to-head polarization configurations

Confined low dimensional charges with high density such as two-dimensional electron gas (2DEG) at interfaces and charged domain walls in ferroelectrics show gre...     

云仿真系统可信度评估问题探讨

云仿真平台支持“云仿真”模式,能够自动查找仿真资源、动态构建云仿真系统。由于云仿真平台具有按需构建仿真服务、多粒度资源共享等特点,云仿真系统的可信度评估工作在仿真资源的可信度、仿真子系统的可信度、仿真运行环境的可靠性等方面面临新的问题。从云仿真系统全生命周期角度,建立了云仿真系统的可信度评估过程模型和云仿真系统可信度评估指标体系,并给出了一种仿真资源排序评估方法,为云仿真系统可信度评估工作提供参考。     

求解变分不等式与不动点问题的惯性次梯度外梯度算法

提出了一种求解变分不等式与不动点问题的惯性次梯度外梯度算法,证明了其弱收敛性定理,通过数值实验验证所得的理论结果.     

The emerging link between O-GlcNAcylation and neurological disorders

O-linked β-N-acetylglucosaminylation (O-GlcNAcylation) is involved in the regulation of many cellular cascades and neurological diseases such as Alzheimer’s disease (AD), Parkinson’s disease (PD), and stroke. In the brain, the expression of O-GlcNAcylation is notably heightened, as is that of O-linked N-acetylglucosaminyltransferase (OGT) and β-N-acetylglucosaminidase (OGA), the presence of which is prominent in many regions of neurological importance. Most importantly, O-GlcNAcylation is believed to contribute to the normal functioning of neurons; conversely, its dysregulation participates in the pathogenesis of neurological disorders. In neurodegenerative diseases, O-GlcNAcylation of the brain’s key proteins, such as tau and amyloid-β, interacts with their phosphorylation, thereby triggering the formation of neurofibrillary tangles and amyloid plaques. An increase of O-GlcNAcylation by pharmacological intervention prevents neuronal loss. Additionally, O-GlcNAcylation is stress sensitive, and its elevation is cytoprotective. Increased O-GlcNAcylation ameliorated brain damage in victims of both trauma-hemorrhage and stroke. In this review, we summarize the current understanding of O-GlcNAcylation’s physiological and pathological roles in the nervous system and provide a foundation for development of a therapeutic strategy for neurological disorders.