Abstract: Media, methods, and systems are disclosed for automatically calculating predicted values using deep learning models. One or more input forms having a plurality of input form field values are received. The input form field values are automatically parsed into a set of computer-generated candidate standard field values. The set of candidate standard field values are automatically normalized into a data frame having a set of normalized field values. In response to determining which portions of the data frame to apply to a line calculation neural network, a corresponding line calculation neural network is applied. At least one output form line calculation is performed. A natural language explanation regarding the at least one output form line calculation is generated. Additional user provided inputs are received in response to the natural language explanation, and at least one remaining calculation is carried out based on the one or more additional user provided inputs.

Abstract: Systems and methods for dynamically encrypting requests in accordance with embodiments of the invention are disclosed. In one or more embodiments, a computer-implemented method includes obtaining an updated private key been issued for a third-party service, storing, in a caching system, a routing entry comprising a security token for the third-party service, receiving a request to access the third-party service, and redirecting the client device to the third-party service.

Abstract: This invention presents an ocean observation platform with an integrated, highly reliable wave energy generation mechanism, relevant to power supply technology in marine environments. It includes a platform floating body and a power generation mechanism located at the platform's bottom. The mechanism features disassemblable power generation piles, arranged in a circular array on the floating body. This design ensures that if one pile fails, the others continue generating electricity, enabling a long-term, stable, and continuous power supply. This is particularly useful for monitoring meteorological, temperature, salinity, and ocean current data in complex marine conditions.

Abstract: Media, methods, and systems are disclosed for automatically calculating predicted values using deep learning models. One or more input forms having a plurality of input form field values are received. The input form field values are automatically parsed into a set of computer-generated candidate standard field values. The set of candidate standard field values are automatically normalized into a data frame having a set of normalized field values. In response to determining which portions of the data frame to apply to a line calculation neural network, a corresponding line calculation neural network is applied. At least one output form line calculation is performed. A natural language explanation regarding the at least one output form line calculation is generated. Additional user provided inputs are received in response to the natural language explanation, and at least one remaining calculation is carried out based on the one or more additional user provided inputs.

Abstract: The vital sign detection device of the present invention includes one or more sensors, which can detect a plurality of vital sign signals of a test subject in a non-contact manner, and output corresponding a plurality of vital sign information, thereby achieving fast and accurate vital sign detection. The invention also relates to a combined multi-functional detection device, which includes a camera, a radar sensor, an infrared sensor and a sensor driving unit, used for measuring vital signs. The invention also provides a non-contact blood pressure measurement method and device. The method includes receiving radar echoes and video signal streams at first and second parts, extracting first and second pulse wave signals therefrom, obtaining a measured pulse wave transit time, matching the measured pulse wave transit time with a reference pulse wave transit time, and obtaining a blood pressure value.

Abstract: A motor coil, which is a metal coil formed by a metal wire, the thickness of the metal wire is gradually decreased from the first end portion of the metal wire to the second end portion of the metal wire and any cross-sectional area of the metal wire is equal. The metal coil is a plural laminated layer of the metal wires forming a spiral shape along a surrounding direction. A motor stator comprises a stator core set having a plurality of teeth and the metal coil being sleeved on the outer surface of each stator core set, so that the first and the second end portion will face toward a motor core portion and outer portion respectively. The metal wire has a polymer layer on the outer surface, and an insulative coating is provided between the polymer layer and the metal wire.

Abstract: A motor stator has an annular stator core, and a plurality of tooth portions spaced on the inner surface of the annular stator core which has a slot formed on each of two sides of each of the tooth portions. Each of the tooth portions has a coil wound and a portion of the coil is located in the two slots of each of the tooth portions. Each of the coils is formed by a metal wire coiled around a bobbin several times from the inner side to the outer side. The bobbin has an inner guide frame and an outer guide frame, both of them have a structure with a bottom plate and a side plate that are arranged vertically so that the coil can be attached to the bobbin to miniaturize the motor stator.

Abstract: The present application provides a true three-dimensional dynamic and static combination shear device under high-temperature, high pore pressure and chemical coupling and a method therefor, specifically designed for the rock indoor loading test technical field. The device includes a hydraulic system, a pore pressure coupling system, an annular frame, a frame base, a lateral horizontal support platform, a lateral floating frame, a normal dynamic and static combination loading cylinder, a lateral dynamic and static combination loading cylinder, a tangential hydrostatic loading cylinder, a tangential disturbance loading cylinder, a high-temperature box, and a true three-dimensional high-temperature, high pore pressure and chemical coupling shear box.

Abstract: Provided is a siRNA targeting a NOX1 protein for inhibiting the production of reactive oxygen species (ROS) to treat hepatic fibrosis. In addition, the siRNA has an improved effect on the treatment of hepatic fibrosis and non-alcoholic fatty liver.

Abstract: Apparatus and methods are provided for determining AR filter coefficient and numbers of synchronization. In one novel aspect, the AR filter coefficient and times of synchronization are determined based on the temperatures of the oscillator. In one embodiment, the UE determines a temperature drift rate by collecting sets of temperatures before and after the UE in the sleep mode of the CDRX, generates one or more threshold look-up tables and performs an optimization selection based on the temperature drift rate and the one or more threshold of look-up tables, wherein the optimization selection comprising selecting an alpha coefficient and a number of subframes for synchronization. In another embodiment, the optimization selection is further determined based on a subcarrier spacing, and a channel type of being a static channel type and a fading channel type. The UE further performs an on-the-fly oscillator S-curve calibration based on the set of temperatures.

Abstract: Systems and methods for dynamically encrypting requests in accordance with embodiments of the invention are disclosed. In one or more embodiments, a computer-implemented method includes obtaining an updated private key been issued for a third-party service, storing, in a caching system, a routing entry comprising a security token for the third-party service, receiving a request to access the third-party service, and redirecting the client device to the third-party service.

Abstract: Media, methods, and systems are disclosed for applying a computer-implemented model to a table of computed values to identify one or more anomalies. One or more input forms having a plurality of input form field values is received. The input form field values are automatically parsed into a set of computer-generated candidate standard field values. The set of candidate standard field values are automatically normalized into a corresponding set of normalized field values, based on a computer-automated input normalization model. An automated review model controller is applied to automatically identify a review model to apply to the set of normalized field values, based on certain predetermined target field values. The automatically identified review model is then applied to the set of normalized inputs, and in response to detecting an anomaly, a field value is flagged accordingly.

Abstract: An interconnection structure used for sequentially bonding at least two cell slices and forming an excellent electrical connection. At least one of a front electrode and a back electrode of the cell slice is in a hollow structure, and the back electrode of the previous back electrode is connected with the front electrode of the next cell slice adjacent thereto through a conductive adhesive, thereby saving a large amount of front and back electrode paste, and reducing the cost of the shingled cell.

Abstract: Systems and methods for dynamically encrypting requests in accordance with embodiments of the invention are disclosed. In one embodiment, a computer-implemented method includes obtaining a notification indicating an updated private key has been issued for a third-party service, obtaining, based on the notification, an updated public encryption key associated with the third-party service, generating a security token for the third-party service, the security token associated with a caching system, obtaining, from a secured database and based on the security token, the updated private key, storing, using the caching system, a routing entry comprising the security token and encrypted based on the updated private key, receiving, from a client device, a request to access the third-party service, authenticating the request with the third-party service using the routing entry, and redirecting the client device to the third-party service.

Abstract: Media, methods, and systems are disclosed for automatically calculating predicted values using deep learning models. One or more input forms having a plurality of input form field values are received. The input form field values are automatically parsed into a set of computer-generated candidate standard field values. The set of candidate standard field values are automatically normalized into a data frame having a set of normalized field values. In response to determining which portions of the data frame to apply to a line calculation neural network, a corresponding line calculation neural network is applied. At least one output form line calculation is performed. A natural language explanation regarding the at least one output form line calculation is generated. Additional user provided inputs are received in response to the natural language explanation, and at least one remaining calculation is carried out based on the one or more additional user provided inputs.

Abstract: Media, methods, and systems are disclosed for automatically calculating predicted values using deep learning models. One or more input forms having a plurality of input form field values are received. The input form field values are automatically parsed into a set of computer-generated candidate standard field values. The set of candidate standard field values are automatically normalized into a data frame having a set of normalized field values. In response to determining which portions of the data frame to apply to a line calculation neural network, a corresponding line calculation neural network is applied. At least one output form line calculation is performed. A natural language explanation regarding the at least one output form line calculation is generated. Additional user provided inputs are received in response to the natural language explanation, and at least one remaining calculation is carried out based on the one or more additional user provided inputs.

Abstract: Media, methods, and systems are disclosed for applying a computer-implemented model to a table of computed values to identify one or more anomalies. One or more input forms having a plurality of input form field values is received. The input form field values are automatically parsed into a set of computer-generated candidate standard field values. The set of candidate standard field values are automatically normalized into a corresponding set of normalized field values, based on a computer-automated input normalization model. An automated review model controller is applied to automatically identify a review model to apply to the set of normalized field values, based on certain predetermined target field values. The automatically identified review model is then applied to the set of normalized inputs, and in response to detecting an anomaly, a field value is flagged accordingly.

Abstract: Media, methods, and systems are disclosed for automatically calculating predicted values using deep learning models. One or more input forms having a plurality of input form field values are received. The input form field values are automatically parsed into a set of computer-generated candidate standard field values. The set of candidate standard field values are automatically normalized into a data frame having a set of normalized field values. In response to determining which portions of the data frame to apply to a line calculation neural network, a corresponding line calculation neural network is applied. At least one output form line calculation is performed. A natural language explanation regarding the at least one output form line calculation is generated. Additional user provided inputs are received in response to the natural language explanation, and at least one remaining calculation is carried out based on the one or more additional user provided inputs.

Abstract: Systems and methods for dynamically encrypting requests in accordance with embodiments of the invention are disclosed. In one embodiment, a computer-implemented method includes obtaining a notification indicating an updated private key has been issued for a third-party service, obtaining, based on the notification, an updated public encryption key associated with the third-party service, generating a security token for the third-party service, the security token associated with a caching system, obtaining, from a secured database and based on the security token, the updated private key, storing, using the caching system, a routing entry comprising the security token and encrypted based on the updated private key, receiving, from a client device, a request to access the third-party service, authenticating the request with the third-party service using the routing entry, and redirecting the client device to the third-party service.

Abstract: A shingled photovoltaic module with bypass diodes, includes four regions. Each region includes a plurality of cell strings consisting of crystalline silicon cells or crystalline silicon slice cells; the cell strings in the each region are connected in parallel with each other, and circuits between the regions are connected in series with each other; a first region and a second region are protected by one bypass diode, and a third region and a fourth region are protected by another bypass diode; the bypass diodes are positioned in a central part of the module; and positive electrode and negative electrode cables of the module are led out from a junction box which is located on a back side of the module and is close to an edge of the module.