Mapping and mining interictal pathological gamma (30-100 Hz) oscillations with clinical intracranial EEG in patients with epilepsy

Localizing an epileptic network is essential for guiding neurosurgery and antiepileptic medical devices as well as elucidating mechanisms that may explain seizure-generation and epilepsy. There is increasing evidence that pathological oscillations may be specific to diseased networks in patients with epilepsy and that these oscillations may be a key biomarker for generating and indentifying epileptic networks. We present a semi-automated method that detects, maps, and mines pathological gamma (30-100 Hz) oscillations (PGOs) in human epileptic brain to possibly localize epileptic networks. We apply the method to standard clinical iEEG (<100 Hz) with interictal PGOs and seizures from six patients with medically refractory epilepsy. We demonstrate that electrodes with consistent PGO discharges do not always coincide with clinically determined seizure onset zone (SOZ) electrodes but at times PGO-dense electrodes include secondary seizure-areas (SS) or even areas without seizures (NS). In 4/5 patients with epilepsy surgery, we observe poor (Engel Class 4) postsurgical outcomes and identify more PGO-activity in SS or NS than in SOZ. Additional studies are needed to further clarify the role of PGOs in epileptic brain.     

基于FPGA的激光探测自适应电路设计

激光以其方向性好、亮度高、单色性好等优点使得其应用越来越广泛，但是，因其受环境条件的影响较大，特别是在沙尘、雨雪、雾霾等不同天气情况下，激光探测性能受到很大干扰，该文针对这种状况，基于 FPGA 设计了激光探测自适应电路，表明随着传感信号输入的变化，则相应的阈值门限也随之变化，使得不同阈值对噪声的抑制能力达到最佳，从而达到一个自动调节、动态平衡的效果。     

现代检测技术在数控机床中的应用

介绍现代检测技术及检测装置在数控机床中的应用,详细分析位置检测装置在数控机床中的重要作用,归纳总结检测元件发生故障的原因,以达到经验共享的目的。     

润滑油中水分的危害及其检测研究

润滑油中的水分影响油品的质量、润滑能力和腐蚀机械设备;概述了润滑油中水分存在的三种形式,水分的来源、危害,及其水分含量的检测方法;最后指出红外检测、在线检测和快速检测是润滑油中水分含量检测的趋势。     

基于综合判断的高抗内部缺陷分析与处理

分析了一起1000kV线路高抗乙炔含量异常故障,阐述了故障的原因和机理,给出了针对故障采取的消除缺陷的方法,介绍了后续带电检测的情况及结果。     

一种空分设备主冷液氧中乙炔含量的检测方法

介绍武钢氧气公司氢火焰气相色谱仪利用Al2O3柱测定空分设备液氧中乙炔含量的方法。通过PQ柱和Al2O3柱的比较、检测器的对比和对样品气的测定试验,确定采用Al2O3柱对空分设备主冷液氧中乙炔杂质含量的检测方法的准确性和可靠性。阐述试验条件和测定结果。     

Rapid and standardized methods for detection of foodborne pathogens and mycotoxins on fresh produce

Due to the increase in consumption of fresh produce regarding to the health demand in the last decades, a considerable portion of foodborne outbreaks has been trackbacked to contaminated fresh produce, which have appeared as highly possible vehicles for foodborne outbreaks nowadays. Delays in detection of pathogens and mycotoxins on fresh produce hindered the trace-back investigations in finding the source and revealed the urgent need of rapid and reliable methods. In the frame of this review, we summarized available fast, reliable and standardized methods (conventional, molecular, rapid and recently developed methods) used for detection of the most common foodborne pathogens and mycotoxins which are the most likely causative agents of outbreaks caused by contaminated fresh produce.     

基于多种检测像素预测方式的LSB图像信息隐藏检测

本文突破了传统LSB隐写分析算法只针对图片整体特征提取、监测手段不够精细的缺陷,提出了针对每一像素点的针对性判断。算法主要利用图像函数估计、噪声判断、像素值估计等方法,通过预测每一像素是否被改动,来判断整张图片的嵌入情况,从而实现小嵌入率隐写分析与嵌入点大致估计的目标。算法的检测率较以往算法有明显提高,对低嵌入率（1%以内）的LSB嵌入检测效果尤为有效。同时对高嵌入率的嵌入,算法保证了99.9%以上的准确率。