论资产与实验室管理机构改革

管理机构的精简，职能的调整是高校内部管理体制改革的重要组成部分，本文简析了资产与实验室管理机构的现行模式，论述了设置独立管理机构的必要性，提出了管理机构改革的思路。     

原发性高血压病靶器官损害的预测仿真研究

研究原发性高血压病靶器官损害准确预测问题,由于原发性高血压病靶器官损害的影响因子之间存在着高度冗余和非线性,导致传统方法预测准确率低,为提高预测精度,构建了一种改进的基因表达式编程算法的原发性高血压病靶器官损害预测模型,首先设计了适合靶器官损害预测的适应度函数,然后为克服早熟现象提出了以平均适应度形式自适应的改变重组算子概率和变异算子概率,通过数据训练得到靶器官损害的2年预测模型。采用对山东中医药大学第二附属医院原发性高血压病历史数据进行验证性仿真,结果表明,方法的预测精度更高,在原发性高血压病靶器官损害的预测中有着广泛的应用前景。     

Segmentation of abdominal organs from CT using a multi-level,hierarchical neural network strategy

Precise measurements on abdominal organs are vital prior to the important clinical procedures. Such measurements require accurate segmentation of these organs, which is a very challenging task due to countless anatomical variations and technical difficulties. Although, several features with various classifiers have been designed to overcome these challenges, abdominal organ segmentation via classification is still an emerging field in order to reach desired precision. Recent studies on multiple feature–classifier combinations show that hierarchical systems outperform composite feature–single classifier models. In this study, how hierarchical formations can translate to improved accuracy, when large size feature spaces are involved, is explored for the problem of abdominal organ segmentation. As a result, a semi-automatic, slice-by-slice segmentation method is developed using a novel multi-level and hierarchical neural network (MHNN). MHNN is designed to collect complementary information about organs at each level of the hierarchy via different feature–classifier combinations. Moreover, each level of MHNN receives residual data from the previous level. The residual data is constructed to preserve zero false positive error until the last level of the hierarchy, where only most challenging samples remain. The algorithm mimics analysis behaviour of a radiologist by using the slice-by-slice iteration, which is supported with adjacent slice similarity features. This enables adaptive determination of system parameters and turns into the advantage of online training, which is done in parallel to the segmentation process. Proposed design can perform robust and accurate segmentation of abdominal organs as validated by using diverse data sets with various challenges.     

水果蔬菜中有机磷农药残留的快速检测技术研究

利用有机磷杀虫剂敌百虫属酯类化合物在碱性条件下易水解成醇类、酚类和磷酸的性质,将水解产物醇类、酚类与具氧化性的KMnO4有色液反应使溶液的颜色发生改变,根据试液颜色的改变程度与敌百虫量的关系制成标准比色卡,用色卡法快速检测水果蔬菜中有机磷农药残留量。研究表明,该方法对敌百虫的检测灵敏度为0．058mg／kg,单个样品全过程检测只需5min,具有检测时间短、成本低、简单方便、快捷等特点,适用一般家庭或农贸市场、超市快速检测水果、蔬菜中有机磷农药残留量。     

燃油增压锅炉配风器三维流动特性数值计算

采用RNGκ-ε模型,对船用燃油增压锅炉配风器流场进行了三维冷态数值模拟研究。将常温常压工况下的数值计算结果与PIV试验值进行了对比,两者结果的一致说明了计算模型的正确性。用此计算模型计算并对比了100%BMCR和50%BMCR两个工况下的流场,结果表明:垂直轴的截面上无量纲切向速度与无量纲轴向速度分布呈"M"型,但受稳焰器小孔非轴对称性的影响,无量纲切向速度轴对称性不强。相对于100%BMCR工况,50%BMCR工况回流区轴向和径向尺寸分别下降1.59%、4.55%,最大回流速度下降53%,压损下降75%。两工况下压降的模拟计算值与经验公式计算值均一致,计算结果为配风器的设计和优化运行提供参考依据。     

以加强高校机关作风和效能建设推进高等教育改革发展

高校机关是大学中枢部门,其作风和效能建设直接关乎学校的建设发展,一定程度上代表了一所大学发展水平。机关工作作风出现问题,办公效能低下,是当前高等学校面临的一个普遍性矛盾。必须高度重视,以人为本,从制度、文化等方面推进高校机关改革,不断加强机关作风建设,提高机关效能。     

基于VB的MIDI电子琴

本文提出了MIDI电子琴的实现方法,给出了多媒体API时间函数。该MIDI电子琴支持鼠标和键盘弹奏,并且具有录制和回放功能,有利于电子琴的学习和指导。实践表明,该MIDI电子琴实用、易操作。     

An Artificial Autonomic Nervous System That Implements Heart and Pupil as Controlled by Artificial Sympathetic and Parasympathetic Nerves

The autonomic nervous system maintains homeostasis in organisms through complex neural pathways and responds adaptively to changes in the external and internal environment. The fabrication of an artificial autonomic nervous system is reported that replicates combined effects of sympathetic and parasympathetic nerves on cardiac activity and pupillary control, to mimic the regulation of autonomic nervous system to external changes. The artificial autonomic nerve-controlled pupil contraction and relaxation, modulating the rate of heartbeats for normal cardiac rhythm and arrhythmia as reflected by blink rates of a signal indicator. These functions are switched by using a parallel-channeled synaptic transistor with a special n-i-p heterostructure that has a 2D h-BN insulator in the middle to provide barrier against ion injection into the 2D MoS₂ bottom n-channel and enable short-term plasticity as induced by acetylcholine, and the electrochemical doping reaction occurred at the P3HT nanowire p-channels on top to enable relatively long-term plasticity as induced by noradrenaline. Low-energy consumption down to femtojoule and an ultrahigh paired-pulse facilitation index up to ≈455% are demonstrated. An artificial neural network based on device characteristics achieves a high recognition accuracy for electrocardiogram patterns. This study extends insights into artificial nerves-inspired biological signal processing and recognition.