Therapeutic Effects of Insulin-Producing Human Umbilical Cord-Derived Mesenchymal Stem Cells in a Type 1 Diabetes Mouse Model

In patients with type 1 diabetes (T1D), compromised pancreatic β-cell functions are compensated through daily insulin injections or the transplantation of pancreatic tissue or islet cells. However, both approaches are associated with specific challenges. The transplantation of mesenchymal stem cells (MSCs) represents a potential alternative, as MSCs have tissue-forming capacity and can be isolated from various tissues. The human umbilical cord (hUC) is a good source of freely available MSCs, which can be collected through pain-free, non-invasive methods subject to minimal ethical concerns. We sought to develop a method for the in vitro generation of insulin-producing cells (IPCs) using MSCs. We examined the potential therapeutic uses and efficacy of IPCs generated from hUC-derived MSCs (hUC-IPCs) and human adipose tissue (hAD)-derived MSCs (hAD-IPCs) through in vitro experiments and streptozotocin (STZ)-induced C57BL/6 T1D mouse models. We discovered that compared to hAD-IPCs, hUC-IPCs exhibited a superior insulin secretion capacity. Therefore, hUC-IPCs were selected as candidates for T1D cell therapy in mice. Fasting glucose and intraperitoneal glucose tolerance test levels were lower in hUC-IPC-transplanted mice than in T1D control mice and hAD-IPC-transplanted mice. Our findings support the potential use of MSCs for the treatment of T1D.     

薄煤层巷式充填开采应用研究

以店坪煤矿152302工作面巷式充填开采为工程背景,通过FLAC3D数值模拟,分析充填体的合理强度,并根据实际条件,设计巷式充填开采的工艺。结果表明:充填体材料合理的充填强度为3~5 MPa,充填后巷道顶板最大变形量为58 mm,两帮移近量为55 mm,巷道整体变形量较小。     

计算机技术在桥式自动采样系统中的研究与应用

本论文主要介绍了利用计算机和PLC控制系统,实现对矿粉等各种粉末原材料样品的自动采集实现的方法,并着重介绍了自动采样系统地组成以及控制功能,该系统组成主要有Siemens 300系列PLC控制系统,MicroMaster440系列变频器,绝对式编码器,三相异步电机及其他各种辅助设备。该系统的实现解决了原料厂人工采集样品的现状,在更好的完成生产的需要的同时,实现故障率低、准确、效率高、节省劳动力等诸多优点,使职工的工作环境大大提高,其重要性随着生产应用将更加突出。     

独轮移动机器人被动式避障和目标跟踪控制仿真实验

为了使移动机器人能在动态环境中安全地运动并探索周围的情况,针对动态变化的环境中,传感器范围有限的一类非完整系统-独轮移动机器人,提出了一种新的被动式目标跟踪控制方法,使其能在动态变化的环境中有效地避免静止和运动的障碍物.文中在极坐标下,考虑了移动机器人和障碍物的相对运动,首次将极坐标变换与李雅普诺夫分析方法结合起来,提出一种解决独轮机器人的位置跟踪和避障问题的方便实用的被动式控制算法:更重要的是,所提出的方法考虑了运动控制的饱和约束.通过仿真实验证明了提出的独轮机器人多目标控制的李亚普洛夫设计的有效性,为进一步研究多移动机器人或具更复杂的非完整约束机器人的多目标控制奠定了基础.     

Learning Structure from Data and Its Application to Ozone Prediction

In this paper we propose an algorithm for structure learning in predictive expert systems based on a probabilistic network representation. The idea is to have the simplest structure (minimum number of links) with acceptable predictive capability. The algorithm starts by building a tree structure based on measuring mutual information between pairs of variables, and then it adds links as necessary to obtain certain predictive performance. We have applied this method for ozone prediction in México City, where the ozone level is used as a global indicator for the air quality in different parts of the city. It is important to predict the ozone level a day, or at least several hours in advance, to reduce the health hazards and industrial losses that occur when the ozone reaches emergency levels. We obtained as a first approximation a tree-structured dependency model for predicting ozone in one part of the city. We observe that even with only three parameters, its estimations are acceptable.A causal network representation and the structure learning techniques produced some very interesting results for the ozone prediction problem. Firstly, we got some insight into the dependence structure of the phenomena. Secondly, we got an indication of which are the important and not so important variables for ozone forecasting. Taking this into account, the measurement and computational costs for ozone prediction could be reduced. And thirdly, we have obtained satisfactory short term ozone predictions based on a small set of the most important parameters.     

基于PDM的产品数据集成管理

本文在讨论了PDM（ProductDataManagement-产品数据管理）基本框架的基础上，建立了一个基于PDM的集成化数据管理的实用模型，集零件信息、材料库、标准件、产品结构及配置管理、CAD为一体。PDM是以实施为主要推动的技术．实施PDM要选择合适的软件和具有实力的合作伙伴，切实作好实施规划，确定阶段目标，由点到面，逐步展开。     

Survey of Intelligent Control Techniques for Humanoid Robots

This paper focusses on the application of intelligent control techniques (neural networks, fuzzy logic and genetic algorithms) and their hybrid forms (neuro-fuzzy networks, neuro-genetic and fuzzy-genetic algorithms) in the area of humanoid robotic systems. It represents an attempt to cover the basic principles and concepts of intelligent control in humanoid robotics, with an outline of a number of recent algorithms used in advanced control of humanoid robots. Overall, this survey covers a broad selection of examples that will serve to demonstrate the advantages and disadvantages of the application of intelligent control techniques.     

在网络层实现安全传输通道技术的研究

安全传输通道是对传输的原始信息进行加密和协议封装处理,从而实现安全传输的技术,本文在TCP/IP的网络层上提出了实现安全传输通道的技术和解决方案。并对网络层的安全传输通道技术提出了实现机制。     

动态系统描述语言的特性、设计和实现

介绍一种新型的动态系统描述语言,PDSDL.它比SystemC更加高效和灵活.(1)PDSDL使用了Python面向对象动态语言,(2)PDSDL创新性地提出了动态系统的概念.系统的建模、验证和综合全都依赖于运行时动态系统特性,而非传统的存储在非易失记忆体(例如文件)的静态描述.因此设计者能使用程序和高级人工智能方式来进行更高效的结构探索.本文的重点在于探讨动态系统描述语言的特性和实现机理.文末给出简要试验结果.     

安全能量效率优化的传感器网络传输研究

研究了射频无线充能传感器网络通信系统的安全传输及能量效率问题,针对传感器网络能量受限而无线通信容易被窃听的问题,利用物理层安全技术,提出了一种两阶段的安全传输协议。通过联合优化发送功率、射频能量协方差矩阵、敏感信息波束成型以及协作干扰协方差矩阵,使得传感器网络的安全能量效率达到最大。针对所提出的非凸问题,利用Dinkelbach方法将包含分式形式的目标函数简化,利用连续参数凸近似方法将非凸问题转化为可解形式,进而使用收敛迭代算法得到原问题的近似最优解。仿真结果表明,与对比方案相比,提出的传输方案可以在保证安全通信的基础上有效提高安全能量效率。