Abstract: A compound represented by structural formula (I) and a pharmaceutically acceptable salt thereof and a pharmaceutical composition comprising the compound or the pharmaceutically acceptable salt thereof, can be used for treating diseases such as obesity, hyperlipidemia, hypercholesterolemia, and diabetes and also for treating other diseases such as NASH, atherosclerosis, cardiovascular diseases, hypothyroidism, thyroid cancer and other related disorders and diseases

Abstract: A code adaptation mechanism automatically integrates the variable names of a pasted source code snippet into variable names defined in a pre-existing partial source code program. The variable names from the pasted source code snippet are replaced with anonymized values. A deep learning model predicts the most likely variable name from the pre-existing partial source code program to replace each anonymized value. The deep learning model is trained on numerous variable usage patterns from various source code programs to learn to predict the most likely mapping of an undefined variable name from the pasted source code snippet to a variable name in the pre-existing partial source code program thereby generating a syntactically and semantically correct program.

Abstract: A constrained decoding technique incorporates token constraints into a beam search at each time step of a decoding process in order to generate viable candidate sequences that are syntactically and semantically correct. The token constraints identify source code tokens or sequences of tokens that should appear in a candidate sequence. The token constraints are generated from checking whether a token predicted at each decoding step is feasible for a partial solution based on the production rules of the grammar of the programming language, the syntactic correctness of a partial sequence, and/or static type correctness.

Abstract: A false positive vulnerability system detects whether a software vulnerability identified by a static code vulnerability analyzer is a true vulnerability or a false positive. The system utilizes deep learning models to predict whether an identified vulnerability is accurate given the source code context of the identified vulnerability. A neural encoder transformer model is trained to classify a false positive given the method body including the identified vulnerability. A neural decoder transformer model is trained to predict a candidate line-of-code to complete a prompt inserted into the context of the identified vulnerability. The candidate line-of-code that successfully completes the prompt is used as a signal to identify that the identified vulnerability is a false positive.

Abstract: The invention relates to a compound represented by general Formula I, a stereoisomer thereof, a pharmaceutically acceptable salt thereof, a pharmaceutically acceptable ester thereof, a pharmaceutically acceptable hydrate thereof or pharmaceutically acceptable solvate thereof and the invention also relates to a pharmaceutical composition comprising the compound, and a preparation method for the compound and a use of the compound.

Abstract: Provided are a video processing method and apparatus, an electronic device, a storage medium and a program product. The method includes steps described below. A to-be-processed video is acquired, and a first face key point of a first target object in the to-be-processed video is recognized, where the first face key point corresponds to a mask key point in a three-dimensional human face mask special effect; and the three-dimensional human face mask special effect is added to video frames of the to-be-processed video to obtain a target video, where the mask key point in the three-dimensional human face mask special effect moves with the corresponding first face key point.

Abstract: The present invention relates to a substituted benzimidazole derivative as represented by formula (I) and a pharmaceutically acceptable salt, a polymorph, a tautomer, a stereoisomer, a hydrate, a solvate or an isotopic variant of the derivative.

Abstract: Disclosed is a method for preparing a C-nucleoside compound represented by Formula (III) or salt thereof. The present method has a high reaction yield, is simple to operate, uses a single metal reagent, has stable reaction temperature conditions, does not require frequent changes to the reaction system during the operation process, is suitable for scale-up synthesis, is suitable for large-scale production of Remdesivir, and has low costs.

Abstract: Embodiments of the present disclosure disclose a mounting bracket and a self-propelled robot. The mounting bracket includes a housing, a rotating shaft and a magnetic positioning assembly. The housing is provided with an inner cavity. The rotating shaft is configured to rotate about an axis in the inner cavity. The magnetic positioning assembly includes a first magnetic element and a second magnetic element which are respectively arranged on the housing and the rotating shaft. The laser distance sensor is attached to the rotating shaft and configured to rotate about the axis. The mounting bracket is configured to prevent the rotating shaft from deviating from the axis by generating a force between the first magnetic element and the second magnetic element in a radial direction of the rotating shaft.

Abstract: A method and a system for diagnosing an open circuit (OC) fault of an insulated gate bipolar transistor (IGBT) of a T-type three-level (T23L) inverter under multiple power factors based on instantaneous current distortion are provided. Similar characteristics of current distortion may be caused by an OC fault of a T23L inverter, making it is difficult to locate the fault. The method for diagnosing an OC fault of a grid-connected T23L inverter, can diagnose the OC fault hierarchically; four switch transistors in a phase can be divided into two groups according to the similarity analysis of current distortion under different power factors; group-based fault diagnosis is realized by half cycles in which a zero domain occurs; and then, a specific switching signal is injected to realize equipment-based OC fault diagnosis. The OC fault diagnosis of a T23L inverter is realized without additional hardware circuits.

Abstract: A domain adaptation module is used to optimize a first domain derived from a second domain using respective outputs from respective parallel hidden layers of the domains.

Abstract: The present invention provides a range-finding method, apparatus, system, and non-transitory computer-readable storage medium. The method includes: acquiring a predicted number of interrupts of a single-chip microcomputer; acquiring a to-be-measured signal; triggering a first output of a comparator according to a strength of the to-be-measured signal and a preset trigger threshold; recording an ultrasonic signal and acquiring an actual number of interrupts according to the first output; and adjusting the trigger threshold according to the predicted number of interrupts and the actual number of interrupts, where the adjusted trigger threshold is used to trigger the first output next time.

Abstract: Embodiments of the present disclosure disclose a mounting bracket and a self-propelled robot. The mounting bracket includes a housing, a rotating shaft and a magnetic positioning assembly. The housing is provided with an inner cavity. The rotating shaft is configured to rotate about an axis in the inner cavity. The magnetic positioning assembly includes a first magnetic element and a second magnetic element which are respectively arranged on the housing and the rotating shaft. The laser distance sensor is attached to the rotating shaft and configured to rotate about the axis. The mounting bracket is configured to prevent the rotating shaft from deviating from the axis by generating a force between the first magnetic element and the second magnetic element in a radial direction of the rotating shaft.

Abstract: Language interoperability between source code programs not compatible with an interprocedural static code analyzer is achieved through language-independent representations of the programs. The source code programs are transformed into respective intermediate language instructions from which a language-independent control flow graph and a language-independent type environment is created. A program compatible with the interprocedural static code analyzer is generated from the language-independent control flow graph and the language-independent type environment in order to utilize the interprocedural static code analyzer to detect memory safety faults.

Abstract: This application discloses a calibration method for navigation of an unmanned aerial vehicle (UAV), a non-transitory computer-readable storage medium and a UAV implementing the same. The calibration method includes: collecting, during a flight of the UAV, reference data during two measurements of a reference vector performed by a vector sensor; acquiring a zero-point offset M0 of the vector sensor according to the reference data; acquiring original data Rk of any vector measured by the vector sensor; acquiring valid data Vk according to the zero-point offset M0 and the original data Rk; and control headings and postures of the UAV according to the valid data Vk. With the calibration method in this application, the valid data Vk is defined as a vector data acquired after a zero-point error of the original data Rk is eliminated, which is more closely approximated to an actual value of a to-be-measured vector.

Abstract: This application discloses a calibration method for navigation of an UAV including a vector sensor. The calibration method includes: collecting, during a flight of the UAV, a current correction value and current data during a current measurement performed by the vector sensor; acquiring previous data during a previous measurement performed by the vector sensor; acquiring an adjustment quantity according to the current data and the previous data; acquiring a next correction value according to the current correction value and the adjustment quantity; and acquiring next original data during a next measurement performed by the vector sensor, acquiring next valid data according to the next original data and the next correction value , and controlling headings and postures of the UAV according to the next valid data. With the calibration method of this application, the next valid data Vk+1 more closely approximated to a true value can be obtained.

Abstract: This application discloses a vector sensor zero-point calibration method, device, and, apparatus, an electronic device, and a non-volatile computer-readable storage medium. The calibration method includes: acquiring reference data during two measurements of a reference vector performed by a vector sensor; acquiring a zero-point offset M0 of the vector sensor according to the reference data; acquiring original data Rk of any vector measured by the vector sensor; and acquiring valid data Vk according to the zero-point offset M0 and the original data Rk. With the calibration method in this application, the valid data Vk is obtained after a zero-point error of the original data Rk is eliminated, which is more closely approximated to an actual value of a to-be-measured vector.

Abstract: Disclosed is a nursing machine that includes a wearable working head and a urine detection circuit. The urine detection circuit includes at least two first urine sensors and at least two second urine sensors that are arranged on the working head. In response to more than one first urine sensor each outputting a liquid detected signal or in response to more than one second urine sensor each outputting the liquid detected signal, the urine detection circuit is configured to output a urine signal. In response to only one first urine sensor or only one second urine sensor outputting the liquid detected signal or in response to only one first urine sensor and only one second urine sensor each outputting the liquid detected signal, the urine detection circuit doesn't output the urine signal.

Abstract: A laser ranging device and a robot. The laser ranging device comprises an emitting unit and a receiving unit. The emitting unit comprises an emitter configured to emit a laser pulse to a target object that is to be ranged, and an emitting lens configured for the laser pulse to pass through. The receiving unit comprises a photodetector configured to receive a reflected laser pulse by the target object, and a receiving lens configured for the reflected laser pulse to pass through. The photodetector is encapsulated in an encapsulation module, the encapsulation module is disposed aft of and faces the receiving lens, and a side surface of the encapsulation module facing the receiving lens is constructed as an extinction surface.

Abstract: Computing systems and technical methods that transform data structures and pierce opacity difficulties associated with complex machine learning modules are disclosed. Advances include a framework and techniques that include: i) global diagnostics; ii) locally interpretable models LIME-SUP-R and LIME-SUP-D; and iii) explainable neural networks. Advances also include integrating LIME-SUP-R and LIME-SUP-D approaches that create a transformed data structure and replicated modeling over local and global effects and that yield high interpretability along with high accuracy of the replicated complex machine learning modules that make up a machine learning application.