Pulsed Electromagnetic Field (PEMF) Treatment Reduces Lipopolysaccharide-Induced Septic Shock in Mice

Despite advances in medicine, mortality due to sepsis has not decreased. Pulsed electromagnetic field (PEMF) therapy is emerging as an alternative treatment in many inflammation-related diseases. However, there are few studies on the application of PEMF therapy to sepsis. In the current study, we examined the effect of PEMF therapy on a mouse model of lipopolysaccharide (LPS)-induced septic shock. Mice injected with LPS and treated with PEMF showed higher survival rates compared with the LPS group. The increased survival was correlated with decreased levels of pro-inflammatory cytokine mRNA expression and lower serum nitric oxide levels and nitric oxide synthase 2 mRNA expression in the liver compared with the LPS group. In the PEMF + LPS group, there was less organ damage in the liver, lungs, spleen, and kidneys compared to the LPS group. To identify potential gene targets of PEMF treatment, microarray analysis was performed, and the results showed that 136 genes were up-regulated, and 267 genes were down-regulated in the PEMF + LPS group compared to the LPS group. These results suggest that PEMF treatment can dramatically decrease septic shock through the reduction of pro-inflammatory cytokine gene expression. In a clinical setting, PEMF may provide a beneficial effect for patients with bacteria-induced sepsis and reduce septic shock-induced mortality.     

Classification and prediction of burr formation in micro drilling of ductile metals

In the micro drilling of precision miniature holes, the formation of exit burrs is a topic of interest, especially for ductile materials. Because such burrs are difficult to remove, it is important to be able to predict various burr types and to employ burr minimisation schemes that consider burrs’ micro-scale characteristics. In the present work, an artificial neural network (ANN) was used to predict the formation of burrs in the micro drilling of copper and brass, along with burr formation/optimisation analysis specialised for micro drills. The influence of cutting conditions, including cutting speed, feed and drill diameter, upon exit micro burr characteristics such as burr size and type was observed, analysed and classified. Based on the results, an empirical equation to predict micro burr height is proposed herein. The classification results were compared with conventional burr cases using burr control charts. Then, micro burr types were predicted by means of an ANN, using the influential parameters as input vectors. The usefulness of the proposed scheme was demonstrated by comparing the experimental and prediction/analysis results.     

Structural control of Fe-based alloys through diffusional solid/solid phase transformations in a high magnetic field

Abstract

A magnetic field has a remarkable influence on solid/solid phase transformations and it can be used to control the structure and function of materials during phase transformations. The effects of magnetic fields on diffusional solid/solid phase transformations, mainly from austenite to ferrite, in Fe-based alloys are reviewed. The effects of magnetic fields on the transformation temperature and phase diagram are explained thermodynamically, and the transformation behavior and transformed structures in magnetic fields are discussed.     

油基岩屑残渣自悬浮支撑剂的制备及性能评价

目的为了安全有效地处置和利用页岩气开采过程中产生的油基岩屑残渣,采用其烧结陶粒支撑剂,同时,为提高支撑剂在清水中的悬浮性能、改善支撑剂在裂缝中的分布、简化压裂施工工艺、提高压裂增产效果,进行了自悬浮支撑剂的制备与研究。 方法通过聚合反应将聚丙烯胺树脂包覆在支撑剂表面,制得膨胀型自悬浮支撑剂,研究了交联剂用量、单体量、合成温度对自悬浮支撑剂膨胀性能的影响。 结果覆膜材料配比(质量比)为:m(陶粒)∶m(丙烯酰胺)∶m(N,N′-亚甲基双丙烯酰胺)∶m(过硫酸铵)∶m(N,N,N′,N′-四甲基乙二胺)=10.000∶2.000∶0.002∶0.020∶0.031时,自悬浮支撑剂性能最佳,其膨胀倍数为4.3,沉降速度为45 mm/s。 结论覆膜支撑剂自悬浮功能的实现主要与聚丙烯酰胺树脂的溶胀有关,树脂的体积膨胀和聚丙烯酰胺分子链向外延伸引起溶液黏度的增加,提升了支撑剂在溶液中的沉降阻力。该研究对拓宽油基岩屑烧结支撑剂的应用范围、提高油基岩屑残渣资源化利用产品附加值有十分重要的意义。      

非对称电阻场板场效应器件击穿特性仿真分析

利用TCAD仿真研究一种二维紧耦合电阻场板电流调制原理下的物理模型与最优化结构。通过优化关键工艺与材料参数,改善器件漂移区尖峰电场,最终在相同漂移区掺杂下击穿电压较一维PN结理论击穿电压提升273%,相同归一化击穿电压10%变化范围下,漂移区电荷变化允许冗余范围比现有传统PN超结拓宽15倍。相较于对称电阻场板场效应器件,在现有工艺下非对称优化电阻场板场效应器件能够更好的实现结构小型化与高密度的设计。     

一种沟槽-场限环复合终端结构的设计

为了改善硅功率器件击穿电压性能以及改善IGBT电流的流动方向,提出了一种沟槽-场限环复合终端结构。分别在主结处引入浮空多晶硅沟槽,在场限环的左侧引入带介质的沟槽,沟槽右侧与场限环左侧横向扩展界面刚好交接。结果表明,这一结构改善了IGBT主结电流丝分布,将一部分电流路径改为纵向流动,改变了碰撞电离路径,在提高主结电势的同时也提高器件终端结构的可靠性;带介质槽的场限环结构进一步缩短了终端长度,其横纵耗尽比为3.79,较传统设计的场限环结构横纵耗尽比减少了1.48%,硅片利用率提高,进而减小芯片面积,节约制造成本。此方法在场限环终端设计中非常有效。     

物联网背景下的数字化油田站控系统

随着传感器、RFID、通信网络、云计算等新技术的成熟和日益普及,物联网技术的应用越来越广泛,并逐渐在数字化油田、数字化医疗、智能电网、智能交通等多个领域中应用。石油行业是一个跨学科、多专业相互配合的技术高度密集型行业,石油行业的信息化一直伴随着行业的发展,并发挥着巨大的作用。数字化油田是油田信息化的高级阶段,是油田信息化达到网络化、数字化、模型化和科学化的全新标志。通过应用驱动和技术研发创新引领的互动式发展,基于物联网技术的数字化油田建设,在油田数据采集、远程监测、物资管理以及地面全面信息化等领域有非常广阔的应用前景。     

自净式电容器性能的研究

对自净式电容器性能,特别是安全性能的担心作出理论上的解释并以试验数据予以证明。     

基于RGBD数据与深度权重的压缩光场显示

使用多层空间光调制器的压缩光场(compressive light field,CLF) 显示技术具有空间带宽利用率高、图像分辨率好等优势,是一种很有前景的光场显示技术。传统的方法将光场分解视为超定问题并使用优化算法求解。随着重建光场的分辨率、深度、视角等性能参数的提升,优化算法的计算效率低、内存消耗大的缺陷被放大,难以实现快速计算。为此,本文提出了一种新型CLF分解算法,该算法将原始光场分解为物点进行存储,仅占用少量内存;利用深度权重和加权平均代替了优化算法,大幅提高了运算效率。在同等条件下,所提出的算法占用内存仅是传统方法的38.8%,计算时间缩短了93.7%,图像质量提高约1 dB。最后通过仿真和实验两种方式对比了该方法和传统方法的显示效果,验证了算法的有效性。