Abstract: This specification discloses model running methods, apparatuses, computer-readable storage media and systems. In an example method, an original model is split to obtain a basic model and a trusted execution environment (TEE) model; and data of the basic model and data of the TEE model are delivered to a terminal device, so that a rich execution environment (REE) in the terminal device runs the data of the basic model, and a TEE in the terminal device runs the data of the TEE model.

Abstract: Example methods, apparatuses, and computer-readable media for offline transaction processing are disclosed.

Abstract: A water tank mounting structure and a ventilation treatment apparatus is provided. The water tank mounting structure comprises a cavity for containing a water tank, a back wall for defining the cavity, at least one side wall for defining the cavity, and a guiding assembly for guiding the water tank to assemble to the cavity. The back wall is provided with at least one opening for transmitting a respiratory gas between a main unit of the ventilation treatment apparatus and the water tank. The guiding assembly is set such that when the water tank is assembled into the cavity, at least one gas port of the water tank is aligned to the at least one opening of the back wall. The guiding assembly includes at least one first guiding component provided on the back wall and a second guiding component provided on the at least one side wall.

Abstract: A sample is analyzed to determine a set of events that should be selected for performing by a dynamic analyzer executing the sample in an instrumented, emulated environment. The set of selected events is performed. In some cases, at least one emulator detection resistance action is performed. A maliciousness verdict is determined for the sample based at least in part on one or more responses taken by the sample in response to the set of selected events being performed by the dynamic analyzer.

Abstract: A pulsed magnetic particle imaging system includes a magnetic field generating system that includes at least one magnet, the magnetic field generating system providing a spatially structured magnetic field within an observation region of the magnetic particle imaging system such that the spatially structured magnetic field will have a field-free region (FFR) for an object under observation having a magnetic nanoparticle tracer distribution therein. The pulsed magnetic particle imaging system also includes a pulsed excitation system arranged proximate the observation region, the pulsed excitation system includes an electromagnet and a pulse sequence generator electrically connected to the electromagnet to provide an excitation waveform to the electromagnet, wherein the electromagnet when provided with the excitation waveform generates an excitation magnetic field within the observation region to induce an excitation signal therefrom by at least one of shifting a location or condition of the FFR.

Abstract: The present invention discloses an adaptive cooling allocation system for multiple motors and a junction motor assembly. The key points of the technical solution comprise: a plurality of cooling groups, wherein each cooling group comprises a motor and a regulating valve, a cooling channel is arranged in the motor, a liquid inlet channel and a liquid outlet channel are arranged in the regulating valve, respectively, and an outlet end of the liquid inlet channel communicates with an inlet end of the cooling channel; and a main liquid inlet channel, wherein inlet ends of the plurality of liquid inlet channels communicate with the main liquid inlet channel, respectively; a regulating channel is also arranged in the regulating valve; a valve block is arranged in the regulating channel, and extends into the liquid inlet channel, so that a regulating hole is formed between the valve block and the liquid inlet channel.

Abstract: The present disclosure relates to a thermoplastic pulverulent composition comprising (a) at least one silica particle treated with alkoxysilane; and (b) at least one thermoplastic polymer. The present disclosure also relates to a 3D-printed object formed from the thermoplastic pulverulent composition and a process of forming the 3D-printed object. The thermoplastic pulverulent composition shows good powder flowability and the printed object obtained from said thermoplastic pulverulent composition surprisingly shows high elongation at break, high impact strength, good toughness and low surface roughness.

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.

Abstract: A method and a system for reducing current noise of a touch terminal are provided. The method includes: determining that a user receives a voice call via an earpiece of the touch terminal, and controlling the touch terminal to switch from a first touch scan frequency to a second touch scan frequency, where the second touch scan frequency is less than the first touch scan frequency. As can be seen, if the user receives the voice call via the earpiece of the touch terminal, the touch terminal is controlled to switch from the first touch scan frequency to the second touch scan frequency, to effectively reduce the current noise heard by the user by decreasing the touch scan frequency of the touch terminal, so that the periodic current noise is outside a frequency band perceptible to a human ear, thereby improving user experience when receiving the voice call.