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    System and method for continuous transesterification of oils
    1.
    发明授权
    System and method for continuous transesterification of oils 有权
    油的连续酯交换的系统和方法

    公开(公告)号：US09468899B2

    公开(公告)日：2016-10-18

    申请号：US13950499

    申请日：2013-07-25

    Applicant: Masdar Institute Of Science And Technology

    Inventor： Isam M. Janajreh ,  Rasha Abd Rabu

    IPC: B01J19/24 ,  B01J8/06 ,  C10L1/02

    CPC classification number: B01J19/243 ,  B01J8/065 ,  B01J8/067 ,  B01J19/2425 ,  C10L1/026 ,  C10L2200/0476 ,  C10L2290/56 ,  Y02E50/13 ,  Y02P30/20

    Abstract: A multi-chamber continuous tubular reactor for the transesterification of oil (e.g., waste cooking oil and the like) and methanol into glycol and fatty acid methyl (ethel) ester. The reactor includes a plurality of tubes, a plurality of fluidly coupled chambers, an inlet fluidly coupled to a first chamber of the plurality of chambers for receiving reactants, and an outlet fluidly coupled to a second chamber of the plurality of chambers for receiving products generated during a reaction within the plurality of chambers. At least one of the plurality of tubes is at least partially disposed within a lumen of another one of the plurality of tubes. The plurality of fluidly coupled chambers are defined, at least in part, by the plurality of tubes. The reactor is configured to generate a generally helical flow pattern through at least one of the plurality of chambers.

    Abstract translation: 用于将油（例如，废食油等）和甲醇酯交换成二醇和脂肪酸甲酯（ethel）酯的多室连续管式反应器。 反应器包括多个管，多个流体耦合的腔室，流体耦合到多个腔室中用于接收反应物的第一腔室的入口以及流体耦合到多个腔室中的第二腔室的出口，用于接收所产生的产物 在多个室内的反应期间。 所述多个管中的至少一个至少部分地设置在所述多个管中的另一个管的内腔中。 多个流体耦合的腔室至少部分地被多个管子限定。 反应器构造成通过多个室中的至少一个产生大致螺旋状的流动模式。

    FABRICATION OF ENHANCED SUPERCAPACITORS USING ATOMIC LAYER DEPOSITION OF METAL OXIDE ON NANOSTRUCTURES
    2.
    发明申请
    FABRICATION OF ENHANCED SUPERCAPACITORS USING ATOMIC LAYER DEPOSITION OF METAL OXIDE ON NANOSTRUCTURES 有权
    使用原子层沉积金属氧化物对纳米结构的增强超吸收剂的制备

    公开(公告)号：US20150303001A1

    公开(公告)日：2015-10-22

    申请号：US14602104

    申请日：2015-01-21

    Applicant: Masdar Institute of Science and Technology ,  The Regents of the University of California

    Inventor： Roseanne Warren ,  Firas Sammoura ,  Liwei Lin

    IPC: H01G11/46 ,  C25D11/26 ,  C25D11/34 ,  H01G11/04 ,  H01G11/86

    CPC classification number: H01G11/46 ,  C25D11/26 ,  C25D11/34 ,  H01G11/04 ,  H01G11/26 ,  H01G11/36 ,  H01G11/70 ,  H01G11/86 ,  Y02E60/13

    Abstract: A method to a fabricate high surface area, high performance supercapacitor includes include applying a metal layer to at least a portion of a nanostructure; after applying the metal layer, oxidizing the metal layer; applying a plurality of additional metal layers onto a previously oxidized metal layer; and after applying each additional metal layer, oxidizing the additional metal layer prior to applying a successive additional metal layer. The metal layers may include a composition comprising at least one metal, the at least one metal selected from the group consisting of ruthenium, titanium, manganese, vanadium, iron, tin, cobalt and nickel. Optionally, each of the additional metal layers may be applied using atomic layering deposition (ALD).

    Abstract translation: 制造高表面积的高性能超级电容器的方法包括将金属层施加到纳米结构的至少一部分; 在施加金属层之后，氧化金属层; 将多个附加金属层施加到先前氧化的金属层上; 并且在施加每个附加金属层之后，在施加连续的附加金属层之前氧化附加金属层。 金属层可以包括包含至少一种金属，至少一种选自钌，钛，锰，钒，铁，锡，钴和镍的金属的组合物。 任选地，可以使用原子层析沉积（ALD）来施加每个附加金属层。

    MACHINE-BASED PATIENT-SPECIFIC SEIZURE CLASSIFICATION SYSTEM
    9.
    发明申请
    MACHINE-BASED PATIENT-SPECIFIC SEIZURE CLASSIFICATION SYSTEM 有权
    基于机器的患者特异性分类系统

    公开(公告)号：US20140235990A1

    公开(公告)日：2014-08-21

    申请号：US14182570

    申请日：2014-02-18

    Applicant: Masdar Institute of Science and Technology

    Inventor： Jerald Yoo ,  Muhammad Awais Bin Altaf

    IPC: A61B5/04 ,  A61B5/00 ,  A61B5/0478

    CPC classification number: A61B5/04017 ,  A61B5/0478 ,  A61B5/4094 ,  A61B5/4836 ,  A61B5/725 ,  A61B2503/04 ,  A61B2503/06

    Abstract: This disclosure is directed to a machine-based patient-specific seizure classification system. In general, an example system may comprise a non-linear SVM seizure classification system-on-chip (SoC) with multichannel EEG data acquisition and storage for epileptic patients is presented. The SoC may integrate a hardware-efficient log-linear Gaussian Basis Function engine, floating point piecewise linear natural log, and low-noise, high dynamic range readout circuits. In at least one example implementation, the SoC may consume 1.83W/classification while classifying 8 channel results with an average detection rate, average false alarm rate and latency of 95.1%, 0.94% and

    Abstract translation: 本公开涉及基于机器的患者特异性发作分类系统。 一般来说，示例系统可以包括用于癫痫患者的具有多通道EEG数据采集和存储的非线性SVM癫痫发作分类系统级芯片（SoC）。 SoC可以集成硬件高效的对数线性高斯基函数引擎，浮点分段线性自然对数和低噪声，高动态范围读出电路。 在至少一个示例实现中，SoC可以消耗1.83W /分类，同时对平均检测率，平均误报率和等待时间分别为95.1％，0.94％和<2s的8个信道结果进行分类。

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