Temporary spinal cord stimulation (tSCS) can effectively reduce the pain and severity of postherpetic neuralgia (PHN). However, there are no effective and objective methods for predicting the effects of tSCS on PHN. Laser speckle contrast imaging (LSCI) is frequently used in neurology to evaluate the effectiveness of treatment. To assess the accuracy of LSCI in predicting the impact of tSCS on PHN, 14 adult patients receiving tSCS treatments for spinal nerve-innervated (C6-T2) PHN participated in this observational study. Visual analog scale (VAS) assessments and LSCI blood flow images of the fingers were recorded after the tSCS procedure. The results showed that the VAS scores of all patients decreased significantly. Moreover, the blood flow index (BFI) values were significantly higher than they were before the procedure. Increased blood flow and pain alleviation were positively correlated. The findings indicated that spinal nerve PHN (C6-T2) was significantly reduced by tSCS. Pain alleviation by tSCS was positively correlated with increased blood flow in the hand. The effect of tSCS on PHN may thus be predicted using an independent and consistent indicator such as LSCI.

为了解决压差式静力水准仪受温度密度等环境因素影响而导致使用过程复杂及测量误差大的问题, 该文以静力水准仪为核心传感器, 采用温度补偿和多基准校准的方法对系统进行了优化, 研发了一套沉降自动化监测系统。经验证测试结果表明, 该监测系统能减少系统误差, 降低工程复杂度, 并在某地铁线的安全监测中能够良好运行, 具有较高的工程实用价值。

针对复杂环境下无人机的动态航迹规划问题, 在量子粒子群优化算法基础上, 提出一种RHC-QPSO航迹规划算法。该算法采用四叉树建立实时环境模型, 以QPSO算法为基础进行无人机航迹寻优, 利用卡尔曼滤波对空间中动态威胁进行轨迹预估, 结合RHC方法, 对动态威胁采取主动规避策略, 选取最小化Φ, ψ, θ及a为过程性能指标, 并将其作为每一个滚动优化窗口的优化指标。仿真实验结果表明, 该算法不仅能够实时、有效地完成具有一定先验地图知识下无人机的动态航迹规划, 而且防止无人机在规划过程中为规避动态威胁进行大机动动作, 在一定程度上改善了航迹平滑度, 提高无人机安全性。

Exact interaction mechanism between Bax and Bcl-XL, two key Bcl-2 family proteins, is an interesting and controversial issue. Partial acceptor photobleaching-based quantitative fluorescence resonance energy transfer (FRET) measurement, PbFRET, is a widely used FRET quantification method in living cells. In this report, we implemented pixel-to-pixel PbFRET imaging on a wide-field microscope to map the FRET e±ciency (ET images of single living HepG2 cells co-expressing CFP-Bax and YFP-Bcl-XL. The E value between CFP-Bax and YFP-Bcl-XL was 4.59% in cytosol and 11.31% on mitochondria, conclusively indicating the direct interaction of the two proteins, and the interaction of the two proteins was strong on mitochondria and modest in cytosol.

中国科学院计划、高分专项;

利用三维荧光技术进行水质监测对干旱区绿洲河流水质的有效管理具有重要的意义。以三维荧光技术为手段，以艾比湖流域地表水为研究对象，结合平行因子(PARAFAC)法和自组织特征映射神经网络(SOM)方法，探讨了艾比湖流域地表水溶解性有机质的三维荧光特征及其与地表水水质指标之间的关系。通过PARAFAC法，有效提取了艾比湖流域地表水样中的4种荧光组分，C1荧光峰对应物质为紫外区类富里酸，C2荧光峰对应物质为类富里酸，C3包括2个峰C3(T1)和C3(T2)，其中C3(T1) 荧光峰对应物质为类蛋白，C3(T2)荧光峰对应物质为类腐殖酸，C4荧光峰对应物质为类腐殖质。经SOM训练，在不同聚类层中探讨水质参数分布情况，水质状况由差到好的顺序依次为博河上游、精河绿洲、乌苏周边农田、艾比湖周边。在艾比湖流域丰水期，酸碱度(pH)、电导率(EC)、溶解氧(DO)、化学需氧量(COD)和五日生化需氧量(BOD5)与水样的三维荧光峰具有较为显著的相关性，而总磷(TP)、总氮(TN)及氨氮(NH+3-N)与各荧光峰相关性较弱。分别建立pH、EC、DO、COD及BOD5与各荧光组分间的多元线性回归方程，求得相关系数R分别为0.579、0.632、0.502、0.762和0.785，可以在一定程度上利用各荧光组分模拟水质参数的变化情况。在利用PARAFAC探讨地表水荧光特征的基础上，SOM网络作为一种有效的水体荧光光谱分析工具，可为干旱区水质监测和河流水质污染治理提供科学依据。

为满足环境监测预警体系建设的需求,系统集成嵌入式技术、全光谱检测技术、电子舌检测技术,研制了基于物联网和光电子技术的环境自 动检测系统,实现对pH、电导率、氨氮、浊度、色度、COD的在线检测。经实验验证系统性能良好, pH、电导率、氨氮、浊度和COD的测量精度分别为-0.02, 0.4%, 2.9%, 2.1%, 1.1%; 电导率、浊度和COD的测量检出限分别为0.7 μS/cm, 0.9 NTU, 0.5 mg/L。实际水样比对测试符合要求,可满足水质在线快速监测的需求。

进行了风电叶片双轴静载试验, 全程采用数字图像相关技术监测其全场三维变形。结果表明, 在各工况荷载作用下, 风电叶片的三维位移分布具有良好规律, 而应变分布则无明显规律。3个方向位移中, 平面外位移远大于平面内位移。双轴荷载作用下, 风电叶片挥舞方向位移与摆振方向位移均随加载等级增大而增大。在风电叶片全场范围内, 挥舞方向位移沿叶片展向逐渐增大, 直至叶尖达到最大值。叶片各点的摆振方向位移均为负位移, 负位移最大值出现在叶片中部。在叶根至41%叶长(55 cm)区域内, 叶片各工况下的展向位移几乎接近于0; 而在41%叶长至叶尖区域, 当荷载较小时, 叶片迎风面纤维的受拉伸长量大于平面外弯曲的展向位移分量而产生正位移; 随着荷载增大, 叶片平面外弯曲变形的展向位移分量大于迎风面纤维的受拉伸长量而产生负位移。

为了提高传感器目标识别性能和近距空中目标识别准确性，结合雷达和红外传感器提出了一种目标融合识别模型：对于雷达传感器，提出基于参数学习贝叶斯网络的目标识别方法，首先采用EM算法对贝叶斯网络进行参数优化，然后根据获取的目标属性信息进行目标分类；对于红外成像传感器，采用基于小波矩特征的目标识别方法，首先对目标图像进行小波矩特征提取和选择，然后通过建立的BP神经网络分类器进行目标分类；最后通过DS证据组合法则对两部分识别结果进行融合处理，实现了基于雷达和红外数据融合的近距目标识别。仿真结果表明：和单传感器相比，所提出的模型可以更加精确地进行目标识别。

Osteoarthritis (OA), one of the most common joint diseases with unknown etiology, is characterized by the progressive destruction of articular cartilage and the apoptosis of chondrocytes. The purpose of this study is to elucidate the molecular mechanisms of H₂O₂-mediated rabbit chondrocytes apoptosis. CCK-8 assay showed that H₂O₂ treatment induced a remarkable reduction of cell viability, which was further verified by the remarkable phosphatidylserine externalization after H₂O₂ treatment for 1 h, the typical characteristics of apoptosis. H₂O₂ treatment induced a significant dysfunction of mitochondrial membrane potential (ΔΨm), but did not induce casapse- 9 activation, indicating that H₂O₂ treatment induced caspase-independent intrinsic apoptosis that was further verified by the fact that silencing of AIF but not inhibiting caspase-9 potently prevented H₂O₂-induced apoptosis. H₂O₂ treatment induced a significant increase of caspase-8 and -3 activation, and inhibition of caspase-8 or -3 significantly prevented H₂O₂-induced apoptosis, suggesting that the extrinsic pathway played an important role. Collectively, our findings demonstrate that H₂O₂ induces apoptosis via both the casapse-8-mediated extrinsic and the caspase-independent intrinsic apoptosis pathways in rabbit chondrocytes.