公开(公告)号：US20110306962A1

公开(公告)日：2011-12-15

申请号：US13161362

申请日：2011-06-15

Applicant: Karl H. Schoenbach ,  Lesley Greene

Inventor： Karl H. Schoenbach ,  Lesley Greene

IPC: A61B18/18

CPC classification number: A61B18/12 ,  A61B18/1492 ,  A61B2018/00446 ,  A61N1/205 ,  A61N1/327

Abstract: A method and device for treating a condition aggravated by the presence of amyloid fibrils is disclosed. The method includes applying a plurality of ultra-short pulses to target tissue comprising amyloid fibrils. The plurality of ultra-short pulses produce an electric field in the target tissue sufficient to change a molecular structure of the amyloid fibrils without causing the death, destruction, or serious injury of healthy cells surrounding the target tissue. For example, the plurality of ultra-short pulses can be sufficient to change the molecular structure of amyloid fibrils without causing apoptosis or necrosis of surrounding cells. The ultra-short pulses can be applied using an electrode device or a wideband antenna. The ultra-short pulses can have a duration ranging from 1 ps to 10 ns, an amplitude ranging from 100 V to 1 MV, and can apply an electrical field to the target tissue ranging from 1 kV/cm to 1 MV/cm.

Abstract translation: 公开了一种用于治疗由淀粉样蛋白原纤维存在而加重的病症的方法和装置。 该方法包括将多个超短脉冲应用于包含淀粉样蛋白原纤维的靶组织。 多个超短脉冲在目标组织中产生足以改变淀粉样蛋白原纤维的分子结构的电场，而不会导致靶组织周围的健康细胞的死亡，破坏或严重损伤。 例如，多个超短脉冲可以足以改变淀粉样蛋白原纤维的分子结构，而不引起周围细胞的凋亡或坏死。 可以使用电极装置或宽带天线来施加超短脉冲。 超短脉冲可以具有1ps至10ns的持续时间，振幅范围为100V至1MV，并且可以向1KV / cm至1MV / cm的目标组织施加电场。

公开(公告)号：US20110292208A1

公开(公告)日：2011-12-01

申请号：US12952896

申请日：2010-11-23

Applicant: Guoqing Zhou ,  Wenhan Xie

Inventor： Guoqing Zhou ,  Wenhan Xie

IPC: H04N7/18 ,  G06K9/00

CPC classification number: H04N7/18 ,  G01C11/02

Abstract: A method, system, and computer readable medium for producing orthoimages of the images of a (typically) high-resolution imager of an urban area, the orthoimages of high buildings being imaged with improved accuracy by increasing constraint conditions on the building edges, such as perpendicularity, collinearity. These constraint conditions are merged into an orthorectification model for orthorectifying the images captured at a predetermined elevation, whether by airborne or spaceborne. Constraint conditions may be formed by the building edge points, such as corners, and may be used with a digital building model. Thus, an aspect of embodiments is that the constraint conditions may be directly formed from the building themselves. The higher the buildings, the more effective the constraint controls.

Abstract translation: 一种用于产生市区（通常）高分辨率成像器的图像的正面图像的方法，系统和计算机可读介质，通过增加建筑物边缘上的约束条件，高建筑物的正面图像以更高的精度成像，例如 垂直度，共线性。 这些约束条件被合并到正射校正模型中，用于正面校正在预定高度捕获的图像，无论是通过机载还是空载。 约束条件可以由建筑边缘点（例如拐角）形成，并且可以与数字建筑模型一起使用。 因此，实施例的一个方面是可以从建筑物本身直接形成约束条件。 建筑物越高，约束控制越有效。

公开(公告)号：US5892228A

公开(公告)日：1999-04-06

申请号：US724726

申请日：1996-09-30

Applicant: John B Cooper ,  Roy R Bledsoe, Jr. ,  Kent L Wise ,  Michael B Sumner ,  William T Welch ,  Brian K Wilt

Inventor： John B Cooper ,  Roy R Bledsoe, Jr. ,  Kent L Wise ,  Michael B Sumner ,  William T Welch ,  Brian K Wilt

IPC: G01N21/65 ,  G01N33/28 ,  G01N21/35

CPC classification number: G01N33/2829 ,  G01N21/65

Abstract: A Fourier-Transform Raman spectrometer was used to collect the Raman spectra of (208) commercial petroleum fuels. The individual motor and research octane numbers (MON and RON, respectively) were determined experimentally using the industry standard ASTM knock engine method. Partial Least Squares (PLS) regression analysis can be used to build regression models which correlate the Raman spectra (175) of the fuels with the experimentally determined values for MON, RON, and pump octane number (the average of MON and RON) of the fuels. Each of the models was validated using leave-one-out validation. The standard errors of validation (SEV) are 0.415, 0.535, and 0.410 octane numbers for MON, RON, and pump octane number, respectively. By comparing the standard error of validation to the standard deviation for the experimentally determined octane numbers, it is evident that the accuracy of the Raman determined values is limited by the accuracy of the training set used in creating the models. The Raman regression models were used to predict the octane numbers for the fuels which were not used to build the models. The results compare favorably with the leave-one-out validation. Also, it is demonstrated that the experimentally determined Reid Vapor Pressures are highly correlated with the Raman spectra of the fuel samples and can be predicted with a standard error of 0.568 psi.

Abstract translation: 傅立叶变换拉曼光谱仪用于收集（208）商业石油燃料的拉曼光谱。 使用行业标准的ASTM爆震引擎法，实验地确定了单个运动和研究辛烷值（MON和RON）。 部分最小二乘法（PLS）回归分析可用于建立将燃料的拉曼光谱（175）与MON，RON和泵辛烷值（MON和RON的平均值）的实验确定值相关联的回归模型 燃料。 每个模型都使用一次性验证验证。 验证标准误差（SEV）分别为MON，RON和泵辛烷值的0.415,0.535和0.410辛烷值。 通过将验证的标准误差与实验确定的辛烷值的标准偏差进行比较，显然拉曼测定值的精度受到创建模型中使用的训练集的准确性的限制。 拉曼回归模型用于预测未用于构建模型的燃料的辛烷值。 结果与遗留一次验证相比较。 此外，证明了实验确定的Reid蒸汽压力与燃料样品的拉曼光谱高度相关，并且可以用0.568psi的标准误差预测。