METHOD AND APPARATUS FOR ENHANCING OPERATION OF LEG PROTHESIS

    公开(公告)号:US20220265442A1

    公开(公告)日:2022-08-25

    申请号:US17632024

    申请日:2020-08-03

    Abstract: A method and apparatus for enhancing the operation of leg prothesis is provided. The apparatus includes a cable configured to be attached to the leg prosthesis worn by a subject to move through a plurality of gait phases. The apparatus also includes a module configured to be mounted to the leg prosthesis. The module includes a tension spring configured to engage the cable to maintain tension in the cable. The module also includes a locking mechanism configured to lock a position of the tension spring and maintain a length of the cable defined between the module and the leg prosthesis during at least one first gait phase of the plurality of gait phases. The locking mechanism is further configured to unlock the position of the tension spring to permit variation of the length of the cable during at least one second gait phase of the plurality of gait phases.

    ZINC-BASED ALLOYS FOR STABLE AND HIGH-PERFORMANCE SEAWATER-BASED AQUEOUS BATTERIES

    公开(公告)号:US20220223856A1

    公开(公告)日:2022-07-14

    申请号:US17571976

    申请日:2022-01-10

    Inventor: Yang Yang

    Abstract: An alloy anode for a seawater based aqueous battery and a universal strategy for preparing anodes for use in seawater based aqueous batteries. Zn-M alloys (where M can be manganese or other transition metal) were prepared by co-electrodeposition in the presence of hydrogen bubble formation to produce a porous nanostructured alloy that can serve as an anode for a seawater based aqueous battery. Exemplary Zn—Mn alloy anodes achieved stability over thousands of cycles even under harsh electrochemical conditions, including testing in seawater-based aqueous electrolytes and using a high current density of 80 mA cm−2. The anode design strategy allows for the production of durable electrodes for aqueous batteries and other applications.

    METHODS OF REAL-TIME SPATIO-TEMPORAL ACTIVITY DETECTION AND CATEGORIZATION FROM UNTRIMMED VIDEO SEGMENTS

    公开(公告)号:US20220222940A1

    公开(公告)日:2022-07-14

    申请号:US17647415

    申请日:2022-01-07

    Abstract: Methods of detecting and categorizing an action in an untrimmed video segment regardless of the scale of the action and the close proximity of other actions. The methods improve upon the prior art which either require trimmed video segments including only a single activity depicted therein, or untrimmed video segments including relatively few actions, persons, or objects of interest, thereby directing the classification. Instead, the methods utilize a plurality of tubelets used to represent discreet actions, persons, and objects of interest within the comprehensive untrimmed video segment. The tubelets are localized to correct for pixel-level foreground-background biases, which are then turned into short spatio-temporal action tubelets that are passed to a classification network to obtain multi-label predictions. After classification, the tubelets are be linked together to obtain the final detections with varying lengths, and the method merges the short action tubelets into final action detections.

    Method and apparatus for determining a presence of a microorganism in a sample

    公开(公告)号:US11327068B2

    公开(公告)日:2022-05-10

    申请号:US15952158

    申请日:2018-04-12

    Abstract: A method and apparatus for determining a presence of a microorganism in a sample is provided. The method includes storing electrophysiological and/or impedance signatures of a plurality of microorganisms in a memory of a processor. The method also includes obtaining a sample and generating an electrophysiological and/or impedance signature of the sample. The electrophysiological and/or impedance signature of the sample is compared with the electrophysiological and/or impedance signatures in the memory. A presence of one of the plurality of microorganisms in the sample is then identified based on a correlation between the electrophysiological and/or impedance signature of the sample and the electrophysiological and/or impedance signature of the one of the plurality of microorganisms. A method is also provided for determining a growth stage of a microorganism in a sample.

    Fiber imaging apparatus, methods, and applications

    公开(公告)号:US11321837B2

    公开(公告)日:2022-05-03

    申请号:US16898182

    申请日:2020-06-10

    Abstract: A flexible, artifact-free, and lensless fiber-based imaging system for biological objects. This system combines image reconstruction by a trained deep neural network with low-loss image transmission through disordered glass-air Anderson localized optical fiber. High quality images of biological objects can be obtained using short (few centimeters) or long (more than one meter) segments of disordered fiber with and without fiber bending. The deep neural network can also be designed to perform image classification. The system provides the unique property that the training performed within a straight fiber setup can be utilized for high fidelity reconstruction/classification of images that are transported through either straight or bent fiber making retraining for different bending situations unnecessary. In addition, high quality image transport and reconstruction is demonstrated for cells that are several millimeters away from the fiber input facet eliminating the need for additional optical elements at the distal end of the fiber. This novel imaging system shows great potential for practical applications in endoscopy including studies on freely behaving subjects.

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