构建多层次职业技能培训体系研究——高职IT类专业培训构建为例

文章首先阐述了多层次职业技能的特点以及构建多层次职业技能培训体系的意义,再分析我国目前的职业技能培训体系存在的问题,并以高职IT类专业培训构建为例来谈谈如何构建多层次的职业技能培训体系,最后做出总结.     

Social commerce research: An integrated view

Social commerce has quickly emerged as a new area of inquiry for both practitioners and researchers, suggesting the potential impacts of social media and social networking technologies and services in shaping commercial channels on and off the Internet. This essay starts by providing a brief overview of social commerce research and practice in light of the wide attention it has drawn in the industry. Then, we propose a research framework with an integrated view of social commerce that consists of four key components: business, technology, people, and information. The framework helps us understand the development of social commerce research and practice to date. Subsequently, we report some preliminary findings from a bibliometric study of academic and industry publications in social commerce to reveal recent trends and research topics, as well as some verification of the research framework. Finally, we discuss five articles in this special issue and categorize them in terms of the proposed social commerce research framework.     

基于HTMLParser的BT种子网页信息抽取

通过采用相对路径方法结合节点内容特征进行信息定位,利用HTMLParser解析器的信息转化功能对定位的信息块进行预处理,总结出抽取规则,实现了BT种子网页信息抽取,并以此建立了一种针对BT种子信息的抽取模型。     

一种柔性双足压力检测装置与步态分析系统设计研究

为了获取人机交互中的人体下肢运动信息,针对目前可穿戴助力机器人中感知系统可靠性差,信息特征模糊等缺点,在分析了机器人控制系统所需的交互信息的基础上,设计了一种适用于助力机器人的柔性双足压力信息采集与处理系统。该系统由前端的信息采集装置与终端的信号处理单元两部分组成,可以实时测量使用者行走过程中足底压力分布信息。相关实验结果表明,所设计的系统性能稳定,响应迅速,测得的数据信息特征明显,重复性好,能够较好的划分人体行走过程中的步态相位,为实现可穿戴助力机器人控制提供了保障。     

网络存储系统性能优化的设计和实现

数字化浪潮带来了海量的数据,全球正在迈入网络存储时代。NFS作为最常用的协议之一,默认基于同步UDP,因此无法实现流量控制,导致在大负载的网络存储系统中出现性能障碍。本文根据机载存储需求,选择稳定而且可靠的VxWorks实时操作系统环境,分析了NFS协议的特点,以排队论为思想基础,设计并实现了对于NFS协议的优化。     

SOA在法人库服务系统中的应用研究

针对法人库服务系统建设中存在的部门间信息标准不统一、共享程度低的问题,将SOA（Service-Oriented Architectures）思想贯穿于法人库服务系统建设当中,设计基于SOA模型的法人库服务系统建设方案,实现资源重用、松散耦合和分层开发,为实现法人库各部门间信息资源的互连互通,消除信息孤岛,提供有力的技术支持。     

利用POMDP模型来增强分布式系统的生存性

针对分布式系统存在的状态信息不完全问题,引入部分可观察的马尔可夫决策过程(POMDP)模型到生存控制系统中.在该控制系统的构造过程中,结合前瞻的思想,提出一种简易、有效的搜索算法(NSL算法)来作出决策,从而在一定程度上弥补了现有生存控制系统的不足,提高了分布式系统的可生存性.     

航空发动机静电传感器前置放大器设计

分析了静电监测传感器的原理和信号特点,设计了一种适用于发动机气路静电监测的传感器信号前置放大器,此放大器具有高输入阻抗、低输出阻抗、低噪声、高共模抑制比等特点,并给出了该放大器的电路分析与设计要点。发动机气路模拟实验表明：该放大器可以对微弱信号进行无失真放大,有效地实现对气路静电监测信号的调理,为后续的信号采集和处理奠定了基础。     

考虑天气类型和相似日的IWPA-LSSVM光伏发电功率预测

为了提高光伏发电功率预测精度,根据不同天气类型下光伏输出功率特点,确定光伏发电功率预测模型的输入量。针对狼群算法（wolf pack algorithm,WPA）缺陷,对狼群游走位置和奔袭步长进行改进,得到改进狼群算法（improved wolf pack algorithm,IWPA）,并通过IWPA对最小二乘支持向量机（least squares support vector machine,lSSVM）进行优化,建立了考虑天气类型和相似日的IWPA-LSSVM光伏发电功率预测模型。采用不同天气类型下的光伏发电功率数据进行仿真,结果表明：无论是晴天、多云还是阴雨天气,所提方法预测精度更高,回归拟合时的误差波动更小。     

Nanoheterojunction Engineering Enables NIR-II-Triggered Photonic Hyperthermia and Pyroelectric Catalysis for Tumor-Synergistic Therapy

Photodynamic therapy (PDT) as a non-invasive strategy shows high promise in cancer treatment. However, owing to the hypoxic tumor microenvironment and light irradiation-mediated rapid electron–hole pair recombination, the therapeutic efficacy of PDT is dramatically discounted by limited reactive oxygen species (ROS) generation. Herein, a multifunctional theranostic nanoheterojunction is rationally developed, in which 2D niobium carbide (Nb₂C) MXene is in situ grown with barium titanate (BTO) to generate a robust photo-pyroelectric catalyst, termed as BTO@Nb₂C nanosheets, for enhanced ROS production, originating from the effective electron–hole pair separation induced by the pyroelectric effect. Under the second near-infrared (NIR-II) laser irradiation, Nb₂C MXene core-mediated photonic hyperthermia regulates temperature variation around BTO shells facilitating the electron–hole spatial separation, which reacts with the surrounding O₂ and H₂O molecules to yield toxic ROS, achieving a synergetic effect by means of combinaterial photothermal therapy with pyrocatalytic therapy. Correspondingly, the engineered BTO@Nb₂C composite nanosheets feature benign biocompatibility and high antitumor efficiency with the tumor-inhibition rate of 94.9% in vivo, which can be applied as an imaging-guided real-time non-invasive synergetic dual-mode therapeutic nanomedicine for efficient tumor nanotherapy.