Abstract: Symmetrically and asymmetrically branched homopolymers are modified at the surface level with functional groups that enable forming aggregates with a taxane, such as, paclitaxel and derivatives thereof, which are water insoluble or poorly water soluble. The aggregates are formed by interaction of a taxane and a homopolymer. Such aggregates improve drug solubility, stability, delivery and efficacy.

Abstract: Embodiments of the present invention relate to a method, system and computer program product for application programming interface (API) management. According to the method, in response to a first response from an API provider indicating a failure of a first API request initiated by an API requestor, a second API request is generated at least based on the first API request. The second API request is transmitted to the API provider. A second response to the second API request is received from the API provider. A third response is provided to the API requestor based on the second response.

Abstract: An inertial measurement unit (IMU) device includes an IMU sensor, a controller, a temperature sensor electrically connected to the controller, a heat source, and a heat conductive member. The controller is configured to, in response to a temperature of the IMU sensor detected by the temperature sensor falling below a threshold temperature, control the heat source to generate heat. The heat conductive member is configured to transfer heat from the heat source to the IMU sensor, and includes an electrically insulating and thermally conductive material.

Abstract: The invention provides an automatic stop method and device for a can opener. When a first rotation frequency of a bearing in a first preset time is smaller than a second rotation frequency of the bearing in a subsequent second preset time in the process of opening a can by a can opener blade and a difference between the second and first frequency reaches a preset value, it is determined that repeated cutting occurs, and the blade will be stopped in time to avoid problems caused by repeated cutting. Meanwhile, mean values of multiple data acquired within the first and second preset time are calculated, avoiding the problems of an excessively high and long instant processing burden of one time of data acquisition and errors caused by data acquired once, improving the timeliness and accuracy of the first and second frequency, and can opening can be controlled more accurately.

Abstract: The application provides an air purifier comprising a shell assembly having air inlets and air outlets, and a filter assembly, an air inflow guide assembly, a fan and a diffusion air outflow assembly sequentially arranged from back to front. The filter assembly can purify air entering the filter assembly via the air inlets and flowing through the filter assembly. The air inflow guide assembly defines a guide channel between the filter assembly and the fan. The fan generates an air flow that flows into a first receiving cavity via the air inlets and sequentially flows through each assembly. The diffusion air outflow assembly can rotate to guide the air flow to the air outlets, enable the air flow to diffuse outwards and decrease the flow velocity of the air flow. The air purifier expands the purification range of the air purifier and improves the purification effect of the air purifier.

Abstract: A local activation method and system based on a binary neural network, said method including: during forward propagation, comparing the difference between a center pixel and an adjacent pixel to determine a local activation value; during forward propagation, setting an appropriate number of local activation channels and an activation direction to obtain a local activation feature map having different activation directions; during forward propagation, using weighting coefficients, which can be learned, to perform channel fusion on the output feature map after local activation and direct activation, and obtaining an output feature map containing both texture features and contour features; during backpropagation, using an asymptotic sine function to update the weights of the binary neural network.

Abstract: The present application discloses an electric cutter assembly, including a handle component and a blade component configured movably on the handle component, wherein the handle component is provided therein with a driving component for driving the blade component to reciprocate relative to the handle component and a storage battery electrically connected to the driving component, and the handle component is further provided with a charging interface electrically connected to the storage battery. The electric cutter assembly provided in the present application has the driving component powered with a built-in storage battery so that the handle component can drive the blade component to reciprocate and cut food materials without connecting to an external power source, which effectively avoids the hindrance of the power cord in the use of the electric cutter assembly, and the user can move the electric cutter assembly to any desired position to perform food material processing, which is convenient for the user.

Abstract: A multi-task deep learning network and a generation method thereof are provided. The generation method of a multi-task deep learning network includes: building at least one shared layer, where the shared layer is configured to receive a plurality of pieces of input information and generate a plurality of pieces of processed feature information; building a plurality of groups of task-specific layers, wherein the groups of task-specific layers compute and generate a plurality of groups of output information corresponding to a plurality of different tasks according to the pieces of processed feature information; and activating at least one of the groups of task-specific layers in stages according to a power supply state of an electronic apparatus.

Abstract: A semantic recognition method and a semantic recognition device are provided. A spectrogram of a speech signal is generated. At least one keyword of the spectrogram is detected by inputting the spectrogram into a neural network model. A semantic category to which each of the at least one keyword belongs is distinguished. A semantic intention of the speech signal is determined according to the at least one keyword and the semantic category of the at least one keyword.

Abstract: The invention provides an automatic stop method and device for a can opener. When a first rotation frequency of a bearing in a first preset time is smaller than a second rotation frequency of the bearing in a subsequent second preset time in the process of opening a can by a can opener blade and a difference between the second and first frequency reaches a preset value, it is determined that repeated cutting occurs, and the blade will be stopped in time to avoid problems caused by repeated cutting. Meanwhile, mean values of multiple data acquired within the first and second preset time are calculated, avoiding the problems of an excessively high and long instant processing burden of one time of data acquisition and errors caused by data acquired once, improving the timeliness and accuracy of the first and second frequency, and can opening can be controlled more accurately.

Abstract: A tiered machine learning-based infrastructure comprises a first machine learning (ML) tier configured to execute within an enterprise network environment and that learns statistics for a set of use cases locally, and to alert deviations from the learned distributions. Use cases typically are independent from one another. A second machine learning tier executes external to the enterprise network environment and provides further learning support, e.g., by determining a correlation among multiple independent use cases that are running locally in the first tier. Preferably, the second tier executes in a cloud compute environment for scalability and performance.