Arthur Paul Pedrick – The man behind the patents

In the Intellectual Property community, the name of Arthur Paul Pedrick is mostly associated with the numerous patents he obtained in the 1960’s and 1970’s and which many regard as spoofs on the patent system as such. In reality, a few of his inventions have proven to be way ahead of his time, as subsequent technical developments have shown. He filed his first patent 50 years ago in 1961 and died 35 years ago in 1976. However, the person behind these patents is largely unknown and has to this date remained a mystery. The present article nevertheless attempts to reveal a compelling human story, as well as perspectives on his many patents.     

多层介质中装药起爆位置对爆炸能量传递影响的数值模拟

阐述的多层介质由半无限的混凝土、土壤层和岩石层组成。采用数值模拟软件LS-DYNA模拟了多层介质中带壳装药在其不同端面起爆时爆炸产生的应力波在半无限混凝土介质中的传播过程,得到了装药不同端面起爆时产生的应力波在混凝土中随时间和位置的变化规律。模拟结果表明,在装药底端面起爆时爆轰能量利用率较高,对混凝土的作用效果较好,为提高装药结构威力设计提供了参考依据。     

Classification of Arrhythmia Based on Convolutional Neural Networks and Encoder-Decoder Model

As a common and high-risk type of disease, heart disease seriously threatens people’s health. At the same time, in the era of the Internet of Thing (IoT), smart medical device has strong practical significance for medical workers and patients because of its ability to assist in the diagnosis of diseases. Therefore, the research of real-time diagnosis and classification algorithms for arrhythmia can help to improve the diagnostic efficiency of diseases. In this paper, we design an automatic arrhythmia classification algorithm model based on Convolutional Neural Network (CNN) and Encoder-Decoder model. The model uses Long Short-Term Memory (LSTM) to consider the influence of time series features on classification results. Simultaneously, it is trained and tested by the MIT-BIH arrhythmia database. Besides, Generative Adversarial Networks (GAN) is adopted as a method of data equalization for solving data imbalance problem. The simulation results show that for the inter-patient arrhythmia classification, the hybrid model combining CNN and Encoder-Decoder model has the best classification accuracy, of which the accuracy can reach 94.05%. Especially, it has a better advantage for the classification effect of supraventricular ectopic beats (class S) and fusion beats (class F).     

核壳型量子点-纳米金颗粒组装体高效检测神经性毒剂模拟剂

实验设计制备了一种由12层硫化锌包覆硒化镉的核壳型量子点(CdSe/12ZnS QDs)和纳米金颗粒(Au NPs)自组装形成的CdSe/12ZnS QDs/Au NPs复合结构, 并将其应用于神经性毒剂模拟剂氰基磷酸二乙酯(Diethyl Cyanophosphonate, DCNP)的高效检测。QDs由于与Au NPs存在荧光共振能量转移作用(Fluorescence Resonance Energy Transfer, FRET)而发生荧光猝灭, 乙酰胆碱酯酶(AChE)水解氯化硫代乙酰胆碱(ATC)生成的硫胆碱能够将量子点取代而使量子点荧光恢复。当QDs与Au NPs的摩尔浓度比为20 : 1时, QDs荧光猝灭效果最佳, AChE浓度为1.0×10 ^-3 U/L时, QDs荧光恢复效果最好。DCNP的存在会抑制AChE的活性, 减少硫胆碱的生成并降低QDs的荧光恢复效率, 通过对QDs荧光恢复效率测定能够检测DCNP。在最优条件下对DCNP的检测结果表明, 量子点的荧光恢复效率与DCNP浓度的对数在5.0×10 ^-9~5.0×10 ^-4mol/L的范围内存在良好的线性关系, 检出限达5.0×10 ^-9mol/L。     

如何建立计量确认体系

结合实例分析并总结了计量确认体系的基本要求及建立过程.     

温度敏感性聚甲基丙烯酸N,N-二甲基氨基乙酯(PDMAEMA)水凝胶的合成及性能研究

采用热化学聚合法制备了聚甲基丙烯酸N,N-二甲基氨基乙酯(PDMAEMA)水凝胶,并对其溶胀性能进行了研究.研究结果表明,PDMAEMA水凝胶具有温度敏感性,在去离子水中其ICST约为50℃;水凝胶的温度敏感性与介质的pH值有关,在碱性溶液中凝胶表现出典型的温度敏感性,而在酸性溶液中凝胶的溶胀率受温度的影响很小,没有温度敏感性.     

Oxygen vacancies facilitated photocatalytic detoxification of three typical contaminants over graphene oxide surface embellished BiOCl photocatalysts

A conventional solvothermal way was used to synthesize graphene oxide (GO)/BiOCl photocatalytic nanomaterials with enhanced photocatalytic performance. Due to the introduction of GO, there are intuitive changes in morphology, indicating that GO can guide the growth of GO/BiOCl catalysts. The results of X-ray photoelectron spectroscopy (XPS) and Raman show that a strong chemical interaction occurs around GO and BiOCl. The results of trapping experiments show that O₂^– is the major active species. XPS analysis confirms that the 0.75% GO/BiOCl produces the highest level of oxygen vacancies (OVs). All the GO/BiOCl photocatalysts possess better photocatalytic properties than the neat BiOCl, and 0.5% GO/BiOCl exhibits the highest photoactivity. The photocatalytic activity of 0.5% GO/BiOCl composite for detoxification of rhodamine B (RhB) and tetracycline (TC) under visible light illumination is 4.6 and 6.3 times of that on the reference BiOCl, separately, the photocatalytic activity of 0.5% GO/BiOCl for detoxication of perfluorooctanoic acid (PFOA) is 1.25 times of that of the single BiOCl under UV light illumination, which can be credited to the high separation rate of carriers and the strong interaction between GO and BiOCl. Combining with the results, a separation and transfer mechanism of carriers was revealed.     

金属-碳复合材料的制备及其非线性光学性质研究

基于浸渍法,成功制备了铁含量为10.7 wt％、铜含量为12.9 wt％的金属-碳复合材料,通过扫描电子显微镜、X射线粉末衍射谱、电感耦合等离子体原子发射光谱等手段表征了金属-碳复合材料的结构、形貌、晶型以及元素组成.通过开孔Z扫描实验和光限幅实验对该材料的非线性光学性质进行测试,该材料表现出优秀的反饱和吸收型非线性光...