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    • 1. 发明授权
    • Bicycle pedal range adjusting device
    • 自行车踏板范围调节装置
    • US5458022A
    • 1995-10-17
    • US151968
    • 1993-11-15
    • Raymond MattfeldJeffrey Cohen
    • Raymond MattfeldJeffrey Cohen
    • A63B22/06B62M3/02G05G1/14
    • B62M3/02A63B2022/0623A63B2208/12Y10T74/2164
    • A device is provided for range adjusting bicycle pedals in a bicycle having a frame with a crank hub, a drive sprocket and drive chain. The device consists of a crank axle extending through the crank hub, with the drive sprocket mounted on the crank axle to operate the drive chain. A pair of crank arms extend in opposite directions from the crank axle. A pair of pedals are provided. A structure is for mounting each pedal in an adjustable manner to each crank arm, so as to change the distance of the pedals to the crank axle. Someone who cannot fit on a standard bicycle properly, such as a child, an adult and an elderly person that has limited knee, hip and ankle movement, can still pedal the bicycle. In addition, status-post surgical patients would also benefit from the range adjusting device. In a modification the crank arms are adjustable to the crank axle instead of the pedals to the crank arms.
    • 提供了一种用于在具有带有曲柄毂,驱动链轮和驱动链的框架的自行车中用于范围调节自行车踏板的装置。 该装置包括一个延伸穿过曲柄毂的曲柄轴,驱动链轮安装在曲柄轴上以操作驱动链。 一对曲柄臂从曲柄轴向相反方向延伸。 提供一对踏板。 一种结构用于以可调节的方式将每个踏板安装到每个曲柄臂上,以便改变踏板与曲柄轴的距离。 无法适应标准自行车的人,例如膝盖,髋关节和脚踝运动有限的儿童,成年人和老年人,仍然可以踩踏自行车。 此外,状态后手术患者也将受益于范围调整装置。 在一个修改中,曲柄臂可以调节到曲柄轴而不是曲柄臂的踏板。
    • 5. 发明授权
    • Method for correlating spectroscopic measurements with digital images of contrast enhanced tissue
    • 将光谱测量与对比增强组织的数字图像相关联的方法
    • US07477378B2
    • 2009-01-13
    • US11527839
    • 2006-09-27
    • Jeffrey CohenJohn S. Maier
    • Jeffrey CohenJohn S. Maier
    • G01N3/44
    • G01J3/02G01J3/0264G01J3/0289G01J3/0291G01N21/6458G01N21/6486G01N21/65G01N21/658G01N2021/6417G01N2021/6423G01N2021/656
    • A system and method of correlating Raman measurements with digital images of a sample so to classify the sample's disease state. A spectroscopic data set is obtained for the sample positioned in the field of view of a spectroscopic device. With the sample removed from the field of view, the sample is treated with a contrast enhancing agent. The treated sample is repositioned in the spectroscopic device's field of view and a digital image of the treated sample is obtained. The spectroscopic data set is linked with the digital image by defining a transformation to map the image spatial coordinates of the digital image to the spectral spatial coordinates of the spectroscopic data. For the spectroscopic data set of the sample, a database is searched to identify a spectroscopic data set, of a known sample having well characterized pathology, which matches the sample's spectroscopic data set.
    • 将拉曼测量与样本的数字图像相关联的系统和方法,以对样本的疾病状态进行分类。 对于位于分光装置的视野中的样品获得光谱数据集。 从样品中取出样品后,用对比度增强剂处理样品。 经处理的样品在分光装置的视野中重新定位,并获得处理过的样品的数字图像。 通过定义将数字图像的图像空间坐标映射到光谱数据的光谱空间坐标的变换,光谱数据集与数字图像相关联。 对于样本的光谱数据集,搜索数据库以识别具有良好表征的病理学的已知样品的光谱数据集,其与样品的光谱数据集相匹配。
    • 8. 发明申请
    • Digitizing biology
    • 数字化生物学
    • US20060253261A1
    • 2006-11-09
    • US11484040
    • 2006-07-11
    • John MaierPatrick TreadoJeffrey CohenJason Neiss
    • John MaierPatrick TreadoJeffrey CohenJason Neiss
    • G06F19/00A61B5/00
    • G01N21/65
    • A method and apparatus for determining the progress of a disease. A pre-determined vector space is determined where the vector space mathematically describes a reference set of wavelength resolved data at a plurality of time intervals. A sample containing at least one cell is irradiated with light. Target data is collected where the target data corresponds to at least one of light emitted from or scattered by the sample and includes a plurality of spatially accurate wavelength resolved measurements of light. The target data is transformed into the pre-determined vector space for each spatially accurate wavelength resolved measurement of light. A distribution of transformed points is analyzed in the plurality of pre-determined vector space. Based on the analysis, a transition of a disease condition of the sample is classified.
    • 用于确定疾病进展的方法和装置。 确定矢量空间,其中矢量空间以多个时间间隔数学地描述波长分辨数据的参考集合。 用光照射含有至少一个电池的样品。 收集目标数据,其中目标数据对应于由样本发射或散射的光中的至少一种,并且包括多个空间上精确的波长分辨的光测量。 每个空间精确的波长分辨光测量,将目标数据转换成预定向量空间。 在多个预定向量空间中分析变换点的分布。 根据分析,对样本的疾病状况进行分类。
    • 10. 发明授权
    • Computerized method of identifying and locating resonating, self-hybridizing nucleic acid elements
    • 识别和定位共振,自我杂交核酸元件的计算机化方法
    • US06194155B1
    • 2001-02-27
    • US09305408
    • 1999-05-05
    • Jeffrey Cohen
    • Jeffrey Cohen
    • C12Q168
    • G06F19/22G06F19/16
    • The present invention is a computerized method of identifying self-hybridizing sequences in nucleic acid strands. Once the sequences are identified, genetic information frequently residing in or near the sequences can be more easily identified. A computer program is used to automatically and rapidly conduct the steps of the method. Under the method, a practical minimum possible length of a stem sequence is first determined and entered into a program. A maximum loop size is then determined and entered. Subsequently, a mismatch factor is determined as well as whether to include G-T base pairs in total energy calculations. The calculations are then made by identifying a potential upstream stem sequence and iterating through possible downstream stem sequences. Once all possible downstream stem sequences have been compared to the upstream sequence, the upstream sequence is incremented by one base location, and once again all possible downstream sequences are compared. The total number of bonds is calculated using a look-up matrix for every possible combination of downstream and upstream stem sequences. If a sufficient number of possible base pairs exist, together creating sufficient energy for an R-structure to form, the potential R-structure is stored to a file. The R-structure is then analyzed to determine its maximum length. The total located R-structures are then printed out. The located R-structures may also be examined to locate all possible wing structure sequences within each R-structure using a similar iterative process.
    • 本发明是识别核酸链中自身杂交序列的计算机化方法。 一旦识别出序列,可以更容易地识别频繁存在于序列中或附近的遗传信息。 使用计算机程序来自动且快速地执行该方法的步骤。 在该方法下,首先确定茎序列的实际最小可能长度并将其输入到程序中。 然后确定并输入最大循环大小。 随后,确定不匹配因子以及是否在总能量计算中包括G-T碱基对。 然后通过鉴定潜在的上游茎序列并重复通过可能的下游茎序列来进行计算。 一旦所有可能的下游干细胞序列已经与上游序列进行比较,则上游序列增加一个碱基位置,并且再次比较所有可能的下游序列。 使用用于下游和上游茎序列的每个可能组合的查找矩阵来计算结合的总数。 如果存在足够数量的可能的碱基对,一起为R结构形成足够的能量,则将潜在的R结构存储到文件中。 然后分析R结构以确定其最大长度。 然后打印出总位置的R结构。 也可以使用相似的迭代过程来检查定位的R结构以定位每个R结构内的所有可能的翼结构序列。