Abstract: A method and apparatus for achieving anti-strain via routing, which mainly includes a receiving section for firstly receiving a first external force and a strain generated from the first external force before extensible inclined sections disposed at two ends of the receiving section route a subsequently resulted stress into a groove section for absorption, so as to generate a uniformized stress, which provides an advantageous method capable of flexibly reducing strain by a routing process. The apparatus can be embedded in water-stopping components such as rubber anti-shock connectors, rubber soft joint shock absorbers, waterproof washers or O-rings, which reinforces the effects of water-stoppage and waterproof, and effectively prevents rubber components from fracturing caused by aging and external pressure.

Abstract: A method of manipulating droplet in a programmable EWOD microelectrode array comprising multiple microelectrodes, comprising: constructing a bottom plate with multiple microelectrodes on a top surface of a substrate covered by a dielectric layer; the microelectrode coupled to at least one grounding elements of a grounding mechanism, a hydrophobic layer on the top of the dielectric layer and the grounding elements; manipulating the multiple microelectrodes to configure a group of configured-electrodes to generate microfluidic components and layouts with selected shapes and sizes, comprising: a first configured-electrode with multiple microelectrodes arranged in array, and at least one second adjacent configured-electrode adjacent to the first configured-electrode, the droplet disposed on the top of the first configured-electrode and overlapped with a portion of the second adjacent-configured-electrode; and manipulating one or more droplets among multiple configured-electrodes by sequentially activating and de-

Abstract: Disclosed herein is a device A device of the microelectrode array architecture, comprising: (a) a bottom plate comprising an array of multiple microelectrodes disposed on a top surface of a substrate covered by a dielectric layer; wherein each of the microelectrode is coupled to at least one grounding elements of a grounding mechanism, wherein a hydrophobic layer is disposed on the top of the dielectric layer and the grounding elements to make hydrophobic surfaces with the droplets; (b) a field programmability mechanism for programming a group of configured-electrodes to generate microfluidic components and layouts with selected shapes and sizes; and, (c) a system management unit, comprising: (i) a droplet manipulation unit; and (ii) a system control unit.

Abstract: A surgical kit comprising a suture retriever comprising a handle element coupling with an extending element, wherein the extending element is coupled with a hook portion; wherein the hook portion comprises a spiral structure and a suture collector comprising suture collecting elements forming one or more slits configured to receive a suture from the suture retriever and a base coupling both sides of the suture collecting elements.

Abstract: The system relates to filed-programmable lab-on-chip (FPLOC) microfluidic operations, fabrications, and programming based on Microelectrode Array Architecture are disclosed herein. The FPLOC device by employing the microelectrode array architecture may include the following: (a) a bottom plate comprising an array of multiple microelectrodes disposed on a top surface of a substrate covered by a dielectric layer; wherein each of the microelectrode is coupled to at least one grounding elements of a grounding mechanism, wherein a hydrophobic layer is disposed on the top of the dielectric layer and the grounding elements to make hydrophobic surfaces with the droplets; (b) a field programmability mechanism for programming a group of configured-electrodes to generate microfluidic components and layouts with selected shapes and sizes; and, (c) a FPLOC functional block, comprising: (i) I/O ports; (ii) a sample preparation unit; (iii) a droplet manipulation unit; (iv) a detection unit; and (iv) a system control unit.

Abstract: The system relates to filed-programmable lab-on-chip (FPLOC) microfluidic operations, fabrications, and programming based on Microelectrode Array Architecture are disclosed herein. The FPLOC device by employing the microelectrode array architecture may include the following: (a) a bottom plate comprising an array of multiple microelectrodes disposed on a top surface of a substrate covered by a dielectric layer; wherein each of the microelectrode is coupled to at least one grounding elements of a grounding mechanism, wherein a hydrophobic layer is disposed on the top of the dielectric layer and the grounding elements to make hydrophobic surfaces with the droplets; (b) a field programmability mechanism for programming a group of configured-electrodes to generate microfluidic components and layouts with selected shapes and sizes; and, (c) a FPLOC functional block, comprising: (i) I/O ports; (ii) a sample preparation unit; (iii) a droplet manipulation unit; (iv) a detection unit; and (iv) a system control unit.

Abstract: Disclosed herein is a device A device of the microelectrode array architecture, comprising: (a) a bottom plate comprising an array of multiple microelectrodes disposed on a top surface of a substrate covered by a dielectric layer; wherein each of the microelectrode is coupled to at least one grounding elements of a grounding mechanism, wherein a hydrophobic layer is disposed on the top of the dielectric layer and the grounding elements to make hydrophobic surfaces with the droplets; (b) a field programmability mechanism for programming a group of configured-electrodes to generate microfluidic components and layouts with selected shapes and sizes; and, (c) a system management unit, comprising: (i) a droplet manipulation unit; and (ii) a system control unit.

Abstract: A method of manipulating droplet in a programmable EWOD microelectrode array comprising multiple microelectrodes, comprising: constructing a bottom plate with multiple microelectrodes on a top surface of a substrate covered by a dielectric layer; the microelectrode coupled to at least one grounding elements of a grounding mechanism, a hydrophobic layer on the top of the dielectric layer and the grounding elements; manipulating the multiple microelectrodes to configure a group of configured-electrodes to generate microfluidic components and layouts with selected shapes and sizes, comprising: a first configured-electrode with multiple microelectrodes arranged in array, and at least one second adjacent configured-electrode adjacent to the first configured-electrode, the droplet disposed on the top of the first configured-electrode and overlapped with a portion of the second adjacent-configured-electrode; and manipulating one or more droplets among multiple configured-electrodes by sequentially activating and de-

Abstract: A search engine and system for data, such as Internet web pages, including a query analyser for processing a query to assign respective weights to terms of the query and to generate a query vector including the weights, and an index network responsive to the query vector to output at least one index to data in response to the query. The index network is a self-generating neural network built using training examples derived from a feature extractor. The feature extractor is used during both the search and training phase. A clusterer is used to group search results.

Abstract: A search engine and system for data, such as Internet web pages, including a query analyser for processing a query to assign respective weights to terms of the query and to generate a query vector including the weights, and an index network responsive to the query vector to output at least one index to data in response to the query. The index network is a self-generating neural network built using training examples derived from a feature extractor. The feature extractor is used during both the search and training phase. A clusterer is used to group search results.

Abstract: A search engine and system for data, such as Internet web pages, including a query analyser for processing a query to assign respective weights to terms of the query and to generate a query vector including the weights, and an index network responsive to the query vector to output at least one index to data in response to the query. The index network is a self-generating neural network built using training examples derived from a feature extractor. The feature extractor is used during both the search and training phase. A clusterer is used to group search results.