Melanocortin-5 Receptor: Pharmacology and Its Regulation of Energy Metabolism

As the most recent melanocortin receptor (MCR) identified, melanocortin-5 receptor (MC5R) has unique tissue expression patterns, pharmacological properties, and physiological functions. Different from the other four MCR subtypes, MC5R is widely distributed in both the central nervous system and peripheral tissues and is associated with multiple functions. MC5R in sebaceous and preputial glands regulates lipid production and sexual behavior, respectively. MC5R expressed in immune cells is involved in immunomodulation. Among the five MCRs, MC5R is the predominant subtype expressed in skeletal muscle and white adipose tissue, tissues critical for energy metabolism. Activated MC5R triggers lipid mobilization in adipocytes and glucose uptake in skeletal muscle. Therefore, MC5R is a potential target for treating patients with obesity and diabetes mellitus. Melanocortin-2 receptor accessory proteins can modulate the cell surface expression, dimerization, and pharmacology of MC5R. This minireview summarizes the molecular and pharmacological properties of MC5R and highlights the progress made on MC5R in energy metabolism. We poInt. out knowledge gaps that need to be explored in the future.     

各向异性权重的模糊C均值聚类图像分割

传统的模糊C均值聚类算法(FCM)在图像分割中未考虑各个点的灰度特征及其邻域像素的关联程度,导致其对于噪声十分敏感.而各种改进算法虽然较好地克服了图像噪声的影响,但由于使用均值滤波等方法导致分割图像边缘模糊.为此,提出一种基于各向异性权重的FCM图像分割方法,通过引入新的邻域窗口权重的计算方法,使得中心点邻域内各点具有各向异性的权重;并使用基于灰度级的快速算法,提出了各向异性权重的模糊C均值聚类算法.实验结果表明,文中方法具有较强的抗噪性,对于噪声具有良好的稳定性,分割精度较高.     

Open-circuit fault detection for three-phase inverter based on backpropagation neural network

Neural Computing and Applications - To realize real-time fault detection in power devices and enhance reliability of inverter circuits, this paper proposes a detection method based on Park’s...     

基于结构L yapunov 矩阵的静态输出反馈镇定

线性时不变系统的静态输出反馈控制可行性等价于两个耦合的线性矩阵不等式解的存在性问题，这导致了一个非线性最优化问题，是无法直接求解的．针对线性时不变系统(LTI)，深入研究这两个矩阵不等式的关系，通过构造一个结构Lyapunov矩阵，给出了一个问题有解的充分条件，并在此基础上提出一个静态输出反馈镇定算法．利用线性矩阵不等式(LMI)方法，可直接求解出相应的输出反馈增益．数值实例证明了该方法的有效性．     

一种基于粗糙集理论的谱聚类算法

谱聚类算法利用特征向量构造简化的数据空间,在降低数据维数的同时,使得数据在子空间中的分布结构更加明显.现有谱聚类算法的聚类结果多为精确集,而真实数据集中重叠现象广泛存在.基于粗糙集理论提出了一种新的谱聚类算法,其主要思想是对谱聚类算法进行粗糙集扩展,使得聚类结果成为具有下近似和上近似定义的、类与类之间存在重叠区域的结构.实验表明,该算法与现有的谱聚类算法相比,稳定性和准确率都有一定的提高.     

需求管理及配置管理与项目范围管理

需求管理、配置管理和项目范围管理在软件项目管理中具有重要的地位和作用。透彻分析了需求管理、配置管理和项目范围管理知识理论中的基本概念,有助于形成对需求管理、配置管理和项目范围管理的深刻理解,有利于规范和促进日常项目管理工作。     

某铀矿井场抽注液控制的数字化技术应用

在地浸采铀生产过程中,控制抽注液平衡和高效识别抽注液异常状态是保障浸出效能和井场的安全重要措施。以内蒙古某铀矿为例,介绍了该铀矿抽注液平衡联动控制与抽注液异常监测方面数字化技术的应用情况,探讨了应用数字化技术前后该铀矿山抽注液管控效能的变化。结果表明,应用数字化技术进行抽注液平衡控制能有效解决抽注液调控过程中人工控制所存在的劳动强度大、调控不及时和精度不足的问题;合理的模型设计能够高效识别抽注液异常状态。建立抽注液数字化管控体系有助于实现精益化管控、提升井场生产效能、降低安全风险。     

贵州电网输电线路在线监测系统运行分析

通过介绍贵州电网输电线路在线监测系统的应用和运行情况,对系统在运行过程中发生的缺陷和故障进行了统计和梳理,通过对故障原因的分析,提出了相应的改进对策。     

Influence of hexapod robot foot shape on sinking considering multibody dynamics

Journal of Mechanical Science and Technology - Hexapod robots have attracted attention for their excellent terrain adaptabilities. When a robot walks on soft soil, dynamic subsidence and slippage...     

Green cell association for multimedia transmission in cognitive heterogeneous networks

With the introduction of low‐powered pico/femto‐base stations and relay nodes into the macro‐cell, recent heterogeneous networks provide an attractive approach for future wireless communication. Although it may achieve better coverage and higher capacity, several problems remain unsolved before practical deployment. For example, how to select the proper cell from neighbor low‐powered cells and then occupy the radio resource without interference on macro‐users is both important and challenging, especially for rigorous multimedia applications. The traditional cell access algorithms and quality‐control parameters such as delay or throughput no longer suit well in this complex environment. An effective approach should be pursued. In this paper, we investigate this interesting cell association problem and propose a complete green resolution on the basis of thorough discussions about the multimedia transmission under these concerns. Cognitive radio is introduced to share spectrum between macro‐cell and low‐powered cells while securing the transmission of authorized macro‐users. We also bring forth the concept of ‘interference balance’ to better manage the overall interference and energy consumption in the network. Restless bandit model is formulated on the basis of channel state, data rate, interference control, and the carefully chosen intra‐refreshing rate for multimedia traffic. Then the cell association scheme is designed to be efficient and practical because of the simple index property of our model output. Simulation results have proven the performance of our proposed resolution compared with existing algorithms on interference constraint, multimedia distortion, and overall network energy consumption balance. Copyright © 2013 John Wiley & Sons, Ltd.