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    • 1. 发明授权
    • Dynamical and smart positioning of help overlay graphics in a formation of user interface elements
    • 动态和智能定位帮助覆盖图形在形成用户界面元素
    • US09367199B2
    • 2016-06-14
    • US13714026
    • 2012-12-13
    • Oliver KlemenzPeter Eberlein
    • Oliver KlemenzPeter Eberlein
    • G06F3/0481G06F9/44
    • G06F3/0481G06F9/453
    • In some example implementations, there is provided a method. The method may include selecting an action element located on a user interface, wherein the user interface includes a plurality of action elements, whereby each action element corresponds to an action performable by a user and causing a change in a state of the user interface; identifying a help overlay graphics element for each selected action element in the plurality of action elements, the help overlay graphics element describing the action corresponding to the selected action element; and dynamically positioning a plurality of help overlay graphics elements identified for at least a portion of the plurality of selected action elements on the user interface, wherein the plurality of help overlay graphics elements are positioned proximate to associated action elements. Related systems, methods, and articles of manufacture are also provided.
    • 在一些示例实现中,提供了一种方法。 所述方法可以包括选择位于用户界面上的动作元素,其中所述用户界面包括多个动作元素,由此每个动作元素对应于用户可执行的动作,并导致所述用户界面的状态的改变; 识别所述多​​个动作元素中的每个所选动作元素的帮助重叠图形元素,所述帮助重叠图形元素描述与所选择的动作元素相对应的动作; 以及在所述用户界面上动态地定位为所述多个所选择的动作元素的至少一部分识别的多个帮助重叠图形元素,其中所述多个帮助覆盖图形元素被定位成接近相关联的动作元素。 还提供了相关系统,方法和制品。
    • 2. 发明授权
    • Variable learning rate automated decisioning
    • 可变学习率自动化决策
    • US08706545B2
    • 2014-04-22
    • US11963501
    • 2007-12-21
    • Deenadayalan NarayanaswamyMarc-david CohenZhenyu Yan
    • Deenadayalan NarayanaswamyMarc-david CohenZhenyu Yan
    • G06Q30/02G06Q40/02
    • G06Q30/02G06Q10/06G06Q10/10G06Q20/108G06Q40/02
    • Methods and related system are described for making decisions. A described method includes selecting a choice from the available choices, receiving an outcome relating to the selected choice, and automatically learning from the received outcome by incorporating the received outcome into subsequent steps of selecting a choice. The method may also include calculating estimated probabilities associated with the each choice using Bayesian networks. The automated learning can be based on a learning rate which is variable with time, and influences the degree on which prior outcomes are relied upon when calculating an estimated probability associated with a choice. The learning rate can be a function of time and an estimate of drift of the probability associated with the selected choice.
    • 描述方法和相关系统作出决策。 所描述的方法包括从可用选择中选择选择,接收与所选择的选择相关的结果,以及通过将接收到的结果并入随后的选择选择的步骤中而从接收到的结果中自动学习。 该方法还可以包括使用贝叶斯网络来计算与每个选择相关联的估计概率。 自动学习可以基于随时间变化的学习率,并且在计算与选择相关联的估计概率时影响先前结果依赖的程度。 学习率可以是时间的函数,也可以是与所选择的选择相关联概率的漂移估计。
    • 3. 发明授权
    • Sorption micro-array
    • 吸附微阵列
    • US08192697B2
    • 2012-06-05
    • US12079334
    • 2008-03-25
    • Christoph FattingerPeter Berndt
    • Christoph FattingerPeter Berndt
    • B01L3/00G01N21/01G01N21/51G01N23/10G01N23/12
    • G01N1/28B01L3/0255B01L3/5023B01L3/5025B01L3/502753B01L3/5085B01L2300/069B01L2300/0819G01N2001/282G01N2001/2826
    • A sorption micro-array (1) for sorbing a substance off an assay sample comprises a support (11) and a plurality of sorption elements (14). The plurality of sorption elements (14) is arranged in a well defined geometry in connection with the support (11), wherein the distance between each sorption element (14) and its adjacent sorption element (14) is predefined. Since all of the sorption elements (14) are arranged at a well defined location of the sorption micro-array (1), e.g. in a row with well defined distances from each other, the output of an analysis of substances sorbed by each of the sorption elements (14) can exactly be allocated to a well defined location of an assay sample from which the substances have been sorbed. Like this, it is possible to provide an exact chemical output image of the micro-distribution of the substances of the assay sample. The sorption micro-array according to the invention allows a gentle fluidic pick up of substances essentially without impairing the substances wherein the location of the pick up on the assay sample is well defined.
    • 用于从测定样品上吸附物质的吸附微阵列(1)包括支撑体(11)和多个吸附元件(14)。 多个吸附元件(14)以与支撑件(11)连接的良好限定的几何形状布置,其中每个吸附元件(14)与其相邻的吸附元件(14)之间的距离是预定义的。 由于所有吸附元件(14)都布置在吸附微阵列(1)的明确定义的位置,例如, 在彼此具有良好限定的距离的情况下,由每个吸附元件(14)吸收的物质的分析的输出可以精确地分配给已经从其吸收的物质的测定样品的明确定义的位置。 像这样,可以提供测定样品的物质的微量分布的精确化学输出图像。 根据本发明的吸附微阵列允许温和地流体吸收物质,基本上不损害物质,其中检测样品上的拾取位置被很好地限定。