Abstract: The present invention comprises compounds of Formula I. wherein: Z4, Z7, Z9, Z11, Z22, Z23, Z26, Z30, Z34, Z35, p, m, n, q, and BRIDGE are defined in the specification. The invention also relates to pharmaceutical compositions and methods for use thereof. The novel compounds are useful for preventing, treating or ameliorating diseases and disorders, such as obesity, type 2 diabetes, the metabolic syndrome, insulin resistance, and dyslipidemia, among others.

Abstract: Some embodiments provided herein include methods and compositions for the detection of target ligands on an array. In some embodiments, a capture probe specifically binds to a target ligand from a sample, the location of a bead comprising the capture probe in an array is determined, and the bead is decoded to identify the capture probe and the sample. In some embodiments, a barcode is indicative of a capture probe attached to a bead; and an index is indicative of a subpopulation of beads. Some embodiments relate to sequencing target polynucleotides from several different nucleic acids samples on a bead array.

Abstract: A method and apparatus for detecting a living body, an electronic device and a storage medium include: performing target object detection on a first image captured by a first image sensor in a binocular camera apparatus to obtain a first target region, and performing the target object detection on a second image captured by a second image sensor in the binocular camera apparatus to obtain a second target region; obtaining key point depth information of a target object according to the first target region and the second target region; and determining, based on the key point depth information of the target object, whether the target object is a living body.

Abstract: The present invention relates to aqueous compositions of associative polyelectrolyte complexes (PECs), optionally containing surfactants, biocidal agents and/or oxidants, which can provide surface protection to treated articles including reduced soiling tendency, reduced cleaning effort and improved soil repellancy, as well as providing bacteriostatic properties to treated surfaces that thereby gain resistance to water, environmental exposure and microbial challenge. Treatment means and compositions are provided that employ associative polyelectrolyte complexes formed by combining a water soluble cationic first polyelectrolyte with a water soluble second polyelectrolyte bearing groups of opposite charge to the first polyelectrolyte under suitable mixing conditions where the one polyelectrolyte present in molar excess is added in the form of a first aqueous solution during a mixing step to a second aqueous solution comprising the oppositely charged polyelectrolyte present in molar deficiency.

Abstract: An electronic device comprises a controller. The controller is configured to provide a first signal to a display of the electronic device to turn off the display. The controller is also configured to provide a second signal to the display to alter a gate source voltage of a drive transistor coupled to a light emitting diode (LED) of a pixel of the display while the display is turned off.

Abstract: Provided are a computer program product, system, and method for generation of tasks and retraining machine learning modules to generate tasks based on feedback for the generated tasks. A machine learning module processes an input text message sent in the communication channel to output task information including an intended action and a set of associated users. A task message is generated including the output task information of a task to perform. The task message is sent to a user interface panel in a user computer. Feedback is received from the user computer on the output task information in the task message. The machine learning module is retrained to output task information from the input text message based on the feedback to reinforce likelihood correct task information is outputted and reinforce lower likelihood incorrect task information is outputted.

Abstract: The present disclosure relates generally to systems and methods that may reduce a reduction in visual artifacts related to hysteresis of a light emitting diode (LED) electronic display. In one example, an electronic device may include a controller. The controller is may provide a signal to a pixel of a display of the electronic device while at least a portion of the display is turned off. The signal may include a first current and a second current. The first current may be designed to increase an ambient temperature corresponding to the pixel. The second current may be generated as part of an active panel conditioning operation. By applying the first current and the second current, hysteresis settling times from the pixel may improve, therefore improving speeds of sensing and compensation operations of the electronic device.

Abstract: Using a natural language analysis, a current message is classified into a current message class, the current message being a portion of an interaction in narrative text form. For the interaction using a state prediction model, an interaction outcome corresponding to the current message class is forecasted, the forecasting comprising computing a probability that the current message class will result in a successful message class. Using the state prediction model, a set of next message classes and a set of predicted interaction outcomes are determined, each message in the set of next message classes corresponding to the current message class, each predicted interaction outcome in the set of predicted interaction outcomes corresponding to a next message class in the set of next message classes. According to the corresponding predicted interaction outcome, the set of next message classes is ranked.

Abstract: A voiceprint authentication apparatus is provided, comprising: a voice receiving module configured to receive a user's voices in different speaking modes; a feature extraction module configured to extract respective sets of voice features from the user's voices in different speaking modes; a synthesis module configured to generate a first voiceprint template by synthesizing the respective sets of voice features; and a first communication module configured to send the first voiceprint template to a server to authenticate the user, wherein the user's voices and the respective sets of voice features are not sent to the server. A corresponding voice authentication method, as well as a computer readable medium, are also provided.

Abstract: Using a natural language analysis, a current message is classified into a current message class, the current message being a portion of an interaction in narrative text form. Using a trained message class prediction model, a probability of a previous message class having resulted in the current message class is determined. A previous message is extracted from the interaction using the probability, the previous message being a portion of the interaction occurring prior to the current message, the previous message being classified into the previous message class.

Abstract: The present disclosure describes a system and method for coaxial LiDAR scanning. The system includes a first light source configured to provide first light pulses. The system also includes one or more beam steering apparatuses optically coupled to the first light source. Each beam steering apparatus comprises a rotatable concave reflector and a light beam steering device disposed at least partially within the rotatable concave reflector. The combination of the light beam steering device and the rotatable concave reflector, when moving with respect to each other, steers the one or more first light pulses both vertically and horizontally to illuminate an object within a field-of-view; obtain one or more first returning light pulses, the one or more first returning light pulses being generated based on the steered first light pulses illuminating an object within the field-of-view, and redirects the one or more first returning light pulses.

Abstract: Various embodiments are provided for managing memory for image analysis in a computing environment by a processor. An estimated amount of memory may be reserved for an image analysis job. During a processing of the image analysis job, at least one thread of the image analysis job is partially suspended by restricting the image analysis job from requesting allocation of additional memory upon memory requirements for the image analysis job exceeding the estimated amount of memory. Commensurate with partially suspending the at least one thread, a state of the image analysis job is maintained in the memory notwithstanding the processing of the at least one thread associated with the state is suspended.

Abstract: A mechanism is provided in a data processing system comprising a processor and a memory, the memory comprising instructions executed by the processor to specifically configure the processor to implement a multi-atlas segmentation engine. An offline registration component performs registration of a plurality of atlases with a set of image templates to thereby generate and store, in a first registration storage device, a plurality of offline registrations. The atlases are annotated training medical images and the image templates are non-annotated medical images. The multi-atlas segmentation engine receives a target image. An image selection component selects a subset of image templates in the set of image templates based on the target image. An online registration component performs registration of the subset of image templates with the target image to generate a plurality of online registrations.

Abstract: Disclosed in the present disclosure are a pyrimidine-fused cyclic compound or a pharmaceutically acceptable salt, hydrate, prodrug, stereoisomer, solvate or isotope labeled compound thereof. Also provided in the present disclosure are a preparation method for the compound, a composition comprising the compound and a use of the compound for the preparation of a medicament for the prevention and/or treatment of a disease or condition associated with abnormal SHP2 activity.

Abstract: A method for detecting a living body includes: acquiring depth information of a target object sensed by a first sensor and a target image sensed by a second sensor; performing key point detection on the target image to obtain key point information of the target object; and obtaining a living body detection result of the target object based on the depth information of the target object and the key point information of the target object.

Abstract: The invention provides a piezoelectric micro-electromechanical system (MEMS) microphone includes a base with a cavity and a piezoelectric diaphragm arranged on the base. The base has a ring base and a support column. The piezoelectric diaphragm includes a plurality of diaphragm sheets. Each diaphragm sheet has a fixing end connected with the support column and a free end suspended above the cavity. The widths of the diaphragm sheets are gradually increased from the fixing ends to the free ends. According to the piezoelectric MEMS microphone provided by the invention, under sound pressure, the free ends vibrate, wide free ends drive short fixing ends, and the diaphragm sheets close the fixing ends generate greater deformation to generate more charge. Therefore, the sensitivity can be further improved.

Abstract: An apparatus receives current image frame data and data relating to at least one previous image frame for an electronic display. One or more parameters related to hysteresis of transistors in the electronic display are sensed. A correlation device, such as a look-up table, receives the sensed parameter or parameters and the data relating to one or more image frames, and uses this information, at least in part, to output an appropriate compensation signal for the current image frame data. The compensated current image frame data may then be supplied to the electronic display to reduce or eliminate the effects of hysteresis on the displayed image.

Abstract: The invention provides a piezoelectric micro-electromechanical systems (MEMS) microphone having a base with a cavity, a piezoelectric diaphragm, and a limit element. The base has a ring base, and a support column. The piezoelectric diaphragm includes diaphragm sheets. Each diaphragm sheet have a fixing end connected with the support column and a free end suspended above the cavity. The limit element includes a limit part arranged apart from the piezoelectric diaphragm to limit the free ends in vibration directions of the diaphragm sheets, and an edge fixing plate connected with the outer edge of the limit part and arranged on the ring base. When the diaphragm sheets greatly deform upwards under impact force, deformation of the diaphragm sheets can be controlled, and the diaphragm sheets are protected to prevent the diaphragm sheets from breaking, thereby improving the stability of the piezoelectric MEMS microphone.

Abstract: The present invention provides a piezoelectric MEMS microphone having a base with a cavity, a piezoelectric diaphragm, and a restraining element. The base has a ring base circumferentially forming a cavity, a support column. The piezoelectric diaphragm includes diaphragm sheets each having a fixing end connected to a support column and a free end suspended over the cavity. The restraining element has one end fixedly connected to the free end, the other end connected to the part on the base that is not connected to the fixing end. The piezoelectric MEMS microphone of the invention can constrain the deformation of the diaphragm sheet, thereby improving the resonant frequency of the piezoelectric diaphragm, reducing the noise of the whole piezoelectric MEMS microphone.

Abstract: Embodiments relate to an intelligent computer platform to build a federated learning framework including creating a hierarchy of machine learning models (MLMs). The hierarchy of MLMs has a primary MLM in a primary layer. Training the primary MLM includes capturing contributing model updates across at least one communication channel. A secondary MLM is created and logically positioned in a secondary layer of the hierarchy. The secondary MLM is operatively coupled to the primary MLM across the at least one communication channel. The created secondary MLM is initialized, including cloning weights and framework of the primary MLM into the secondary MLM, and populated with secondary data. The populated data has model updates local to the created secondary MLM. The secondary MLM is logically stored local to the secondary layer, and limits access to the secondary MLM to the secondary layer.