高速PCM码解调电路的设计

为了从接收到的PCM码中还原出原始信号，阐述了一种由硬件实现帧同步，由串并转换器完成PCM码解调器的高速PCM码解调器电路，该电路已用于某智能遥测系统检测中，具有工作稳定，抗干扰能力强的特点。     

智能材料与土木工程结构振动控制

结合国内外最新研究成果,综述了压电材料?电/磁流变液?形状记忆合金等智能材料的基本性能?工作原理及其在土木工程结构振动控制中的应用研究概况,并对研究及应用中存在的问题作了探讨.     

基于VC和VIP的面向对象知识表示

知识表示是人工智能研究的基本问题之一。通过在 Visual C+ +的类中引入Visual Prolog的推理机制提出了一种基于 VC和 VIP的面向对象知识表示方法 ,完善了 Visual C+ +对象的推理功能 ,进一步增强了面向对象的知识表示能力以及 VisualProlog的接口和计算能力 ,并通过实验验证了方法的性能     

我国电力电子技术产业化发展对策研究

为加快我国电力电子技术产业化进程，实现跨越式发展的战略目标，从影响我国电力电子技术产业化因素的分析入手，建立了相关的结构模型。运用改进的层次分析方法，对我国电力电子技术产业化发展对策问题展开研究，并提出了相应的政策建议。     

螯合絮凝法处理含锌污水

进行了用水溶性氨基二硫代甲酸型螯合树脂 ( DTCR)处理含锌废液的研究 ,探讨了 DTCR添加剂、Fe Cl3 加入量、反应时间及体系 p H值等对锌去除率的影响 .实验结果表明 :在锌废液中 ,当ρ( Zn) =1 0 .6mg· L-1,反应时间为 60 min,ν( Fe Cl3 ) ;ν( DTCR) =1 .7∶ 1 .0的条件下 ,处理后废液中残留锌的质量浓度为 0 .1 3mg·L-1,低于国家环保排放标准 1 .0 mg·L-1,去除率大于 98% .并对 DTCR去除锌离子的机理进行了探讨 .     

微晶蜡非催化氧化反应的神经网络模型

对微晶蜡进行了非催化空气氧化，并利用人工神经网络将氧化微晶蜡的酸值、酯值及微晶蜡的氧化条件（反应温度、空气流量和反应时间）进行关联，建立了微晶蜡非催化氧化的酸值、酯值的神经网络模型，并用该模型预测了反应条件对微晶蜡氧化反应过程的影响。结果表明，该模型不但具有较高的计算精度，而且具有满意的预测能力。     

The peripheral myelin protein gene PMP-22 is contained within the Charcot-Marie-Tooth disease type 1A duplication.

Charcot-Marie-Tooth disease (CMT1) is the most common form of inherited peripheral neuropathy. Although the disease is genetically heterogeneous, it has been demonstrated that the gene defect is the most frequent type (CMT1A) is the result of a partial duplication of band 17p11.2. Recent studies suggested that the peripheral hypomyelination syndrome in the trembler (Tr) mouse, a possible animal model for CMT1 disease, is associated with a point mutation in the peripheral myelin protein-22 gene (pmp-22). Expression of pmp-22 is particularly high in Schwann cells, and the protein is found in peripheral myelin. We now report that the human PMP-22 gene is contained within the CMT1A duplication. We therefore, suggest that increased dosage of the PMP-22 gene may be the cause of CMT1A neuropathy.     

Temporal difference models describe higher-order learning in humans

The ability to use environmental stimuli to predict impending harm is critical for survival. Such predictions should be available as early as they are reliable. In pavlovian conditioning, chains of successively earlier predictors are studied in terms of higher-order relationships, and have inspired computational theories such as temporal difference learning. However, there is at present no adequate neurobiological account of how this learning occurs. Here, in a functional magnetic resonance imaging (fMRI) study of higher-order aversive conditioning, we describe a key computational strategy that humans use to learn predictions about pain. We show that neural activity in the ventral striatum and the anterior insula displays a marked correspondence to the signals for sequential learning predicted by temporal difference models. This result reveals a flexible aversive learning process ideally suited to the changing and uncertain nature of real-world environments. Taken with existing data on reward learning, our results suggest a critical role for the ventral striatum in integrating complex appetitive and aversive predictions to coordinate behaviour.     

Mutations in a new member of the chromodomain gene family cause CHARGE syndrome

CHARGE syndrome is a common cause of congenital anomalies affecting several tissues in a nonrandom fashion. We report a 2.3-Mb de novo overlapping microdeletion on chromosome 8q12 identified by array comparative genomic hybridization in two individuals with CHARGE syndrome. Sequence analysis of genes located in this region detected mutations in the gene CHD7 in 10 of 17 individuals with CHARGE syndrome without microdeletions, accounting for the disease in most affected individuals.