Reprogramming Metabolism of Macrophages as a Target for Kidney Dysfunction Treatment in Autoimmune Diseases

Chronic kidney disease (CKD), as one of the main complications of many autoimmune diseases, is difficult to cure, which places a huge burden on patients’ health and the economy and poses a great threat to human health. At present, the mainstream view is that autoimmune diseases are a series of diseases and complications caused by immune cell dysfunction leading to the attack of an organism’s tissues by its immune cells. The kidney is the organ most seriously affected by autoimmune diseases as it has a very close relationship with immune cells. With the development of an in-depth understanding of cell metabolism in recent years, an increasing number of scientists have discovered the metabolic changes in immune cells in the process of disease development, and we have a clearer understanding of the characteristics of the metabolic changes in immune cells. This suggests that the regulation of immune cell metabolism provides a new direction for the treatment and prevention of kidney damage caused by autoimmune diseases. Macrophages are important immune cells and are a double-edged sword in the repair process of kidney injury. Although they can repair damaged kidney tissue, over-repair will also lead to the loss of renal structural reconstruction function. In this review, from the perspective of metabolism, the metabolic characteristics of macrophages in the process of renal injury induced by autoimmune diseases are described, and the metabolites that can regulate the function of macrophages are summarized. We believe that treating macrophage metabolism as a target can provide new ideas for the treatment of the renal injury caused by autoimmune diseases.     

OPC技术在工业控制中的应用

探讨当今工业控制系统设备信息化问题.针对工业控制系统各个厂商的设备相互不能通讯、应用受到限制等问题,提出将OLE for Process Control（OPC）作为FCS,DCS与PLC的中间件解决软件接口不标准的有效方法,并依据西门子产品介绍OPC结合以太网在工业控制系统中的应用.     

产品设计规划问题建模及遗传算法求解

针对目前产品设计过程规划研究中存在的不足,在充分考虑实际设计过程中存在的各种不确定因素的基础上,以产品开发过程中的全体任务为规划对象,以设计迭代时间和成本为目标,将设计过程规划问题描述为基于仿真的随机优化问题进行处理。提出一种模型求解的混合遗传算法,该算法引入最优计算量分配技术进行样本分配,极大地提高了算法的搜索效率,有效地改善了遗传算法搜索的可靠性。以汽轮机轴承转子系统的设计为例,对提出的方法的有效性进行了验证,仿真结果表明,该建模方法有效且算法求解效率高。该方法可推广应用于各种产品设计过程的规划,具有普遍意义。     

基于依赖矩阵的构件软件复杂性的度量模型

目前的构件软件复杂性度量模型未考虑构件之间不同依赖关系和软件构件内部复杂性两个重要因素,度量结果不够完整、准确.针对该问题,通过将软件体系结构抽象为加权的有向图,获得构件之间的依赖矩阵和影响矩阵,进而获取复杂性的度量公式.从度量公式分析和最后的示例可以得出,该度量模型可以更加真实、准确地反映构件之间不同的依赖关系和构件内部复杂性对软件复杂性的影响,而且具有简单、易于实现等特点.     

Mesh Denoising using Extended ROF Model with L1 Fidelity

This paper presents a variational algorithm for feature‐preserved mesh denoising. At the heart of the algorithm is a novel variational model composed of three components: fidelity, regularization and fairness, which are specifically designed to have their intuitive roles. In particular, the fidelity is formulated as an L₁ data term, which makes the regularization process be less dependent on the exact value of outliers and noise. The regularization is formulated as the total absolute edge‐lengthed supplementary angle of the dihedral angle, making the model capable of reconstructing meshes with sharp features. In addition, an augmented Lagrange method is provided to efficiently solve the proposed variational model. Compared to the prior art, the new algorithm has crucial advantages in handling large scale noise, noise along random directions, and different kinds of noise, including random impulsive noise, even in the presence of sharp features. Both visual and quantitative evaluation demonstrates the superiority of the new algorithm.     

Mining process models with non-free-choice constructs

Process mining aims at extracting information from event logs to capture the business process as it is being executed. Process mining is particularly useful in situations where events are recorded but there is no system enforcing people to work in a particular way. Consider for example a hospital where the diagnosis and treatment activities are recorded in the hospital information system, but where health-care professionals determine the “careflow.” Many process mining approaches have been proposed in recent years. However, in spite of many researchers’ persistent efforts, there are still several challenging problems to be solved. In this paper, we focus on mining non-free-choice constructs, i.e., situations where there is a mixture of choice and synchronization. Although most real-life processes exhibit non-free-choice behavior, existing algorithms are unable to adequately deal with such constructs. Using a Petri-net-based representation, we will show that there are two kinds of causal dependencies between tasks, i.e., explicit and implicit ones. We propose an algorithm that is able to deal with both kinds of dependencies. The algorithm has been implemented in the ProM framework and experimental results shows that the algorithm indeed significantly improves existing process mining techniques.     

基于分段地址结构的快速路由查找算法

根据IPV6地址结构和骨干路由表特点,分析了原有路由查找算法,基于IPV6的掩码长度和分段地址,采用Hash表和多分支Trie树结构,提出了一种快速的IPV6路由查找算法。根据分段地址和掩码将最常用到的路由前缀按前缀长度设置Hash表,并将前缀值有序存放在表结点中。不仅可以进行前缀长度的二分查找,同时又是其它前缀匹配的索引。对于其他的前缀匹配问题,根据Hash表中的索引到相应的多分支Trie树完成最长前缀匹配。实践证明该算法具有较好的时空效率,可以较好地提高路由查找速度。     

基于辅助阵元的二维波达方向估计算法

;针对任意平面阵列,提出了一种基于辅助阵元的二维波这方向估计算法.首先利用附加的一个辅助阵元及信号的空、时域信息,构造时空旋转矩阵实现对仰角的分离估计,再利用得到的仰角信息通过一维搜索获取方位角.与传统基于子空间的二维波达方向估计算法相比,该方法不需要进行二维谱峰搜索与参数配对,对阵元的幅相误差具有较强的鲁棒性,并具有...     

基于有理函数式镜头畸变模型的摄像机标定

摄像机成像模型是决定视觉测量精度的关键因素之一。随着视觉测量精度的要求越来越高,提高摄像机模型和标定的精度是解决该问题的主要手段。将一种新的有理函数式镜头畸变修正模型引入到摄像机的成像建模中,以更好地修正镜头畸变引起的误差,从而提高摄像机成像模型的精度;并提出一种两步求解以及分步迭代优化的方法精确求解成像模型中各参数,以解决有理函数式畸变模型参数无法直接求解的问题。实验结果表明,基于新畸变修正模型的摄像机成像模型比常规畸变修正模型的标定精度有显著的提高,并且新模型对大误差的控制更有效,从而可整体提高视觉测量的精度。     

High‐Performance Cathode Based on Self‐Templated 3D Porous Microcrystalline Carbon with Improved Anion Adsorption and Intercalation

Dual‐ion batteries (DIBs) have attracted much attention due to their advantages of low cost and especially environmental friendliness. However, the capacities of most DIBs are still unsatisfied (≈100 mAh g^?1) ascribed to the limited capacity of anions intercalation for conventional graphite cathode. In this study, 3D porous microcrystalline carbon (3D‐PMC) was designed and synthesized via a self‐templated growth approach, and when used as cathode for a DIB, it allows both intercalation and adsorption of anions. The microcrystalline carbon is beneficial to obtain capacity originated from anions intercalation, and the 3D porous structure with a certain surface area contributes to anions adsorption capacity. With the synergistic effect, this 3D‐PMC is utilized as cathode and tin as anode for a sodium‐based DIB, which has a high capacity of 168.0 mAh g^?1 at 0.3 A g^?1, among the best values of reported DIBs so far. This cell also exhibits long‐term cycling stability with a capacity retention of ≈70% after 2000 cycles at a high current rate of 1 A g^?1. It is believed that this work will provide a strategy to develop high‐performance cathode materials for DIBs.