Abstract: The invention relates to activators of FXR useful in the treatment of autoimmune disorders, liver disease, intestinal disease, kidney disease, cancer, and other diseases in which FXR plays a role, having the Formula (I): wherein L1, A, X1, X2, R1, R2, and R3 are described herein.

Abstract: The invention relates to activators of FXR useful in the treatment of autoimmune disorders, liver disease, intestinal disease, kidney disease, cancer, and other diseases in which FXR plays a role, having the Formula (I): wherein L1, A, X1, X2, R1, R2, and R3 are described herein.

Abstract: A radiation-resistant laser optical fiber preform core rod at least includes one type of activated ion (Yb3+, Er3+) and one or more types of co-doped ion (Al3+, P5+, Ge4+, Ce3+, F?), and —OD group of 16-118 ppm. Irradiation resistance of core rod glass can be effectively improved by sequentially performing pre-treatments, i.e. deuterium loading, pre-irradiation and thermal annealing on a preform core rod. Electron paramagnetic resonance test shows that, under the same radiation condition, the radiation induced color center concentration in a preform core rod treated by the method above is lower than in an untreated core rod by one or more orders of magnitude. The obtained core rod can be used for preparing a radiation-resistant rare earth-doped silica fiber, and has the advantages of high laser slope efficiency, low background loss, being able to be used stably in a vacuum environment for a long time, for example.

Abstract: A extended-time release method includes the following steps: mixing water with the toilet cleaner to form an initial solution when water enters a bowl; starting release of the initial solution while water level in the bowl returns to normal; and continuing release of the initial solution after the water level in the bowl returns to normal, in which a mixed liquid of the initial solution and the water in the bowl is referred to as a primary solution; in the above method, the volume of the initial solution is not less than 10 ml; and the content of the effective ingredients of the toilet cleaner in the primary solution is not less than 2 ppm.

Abstract: This application provides techniques of generating non-fungible token props to be displayed in live rooms. The techniques comprise determining a virtual prop associated with one of a plurality of live rooms in which an online streamer performs livestreaming; determining a set of material components of the virtual prop; generating a set of visual materials based on configuring a plurality of visual materials for each of the set of material components; and generating a set of non-fungible token props corresponding to the virtual prop based on a plurality of sets of visual materials corresponding to the set of material components, wherein an identifier is assigned to each of the set of non-fungible token props for identification.

Abstract: A photodarkening-resistant ytterbium-doped quartz optical fiber and a method for prpearing such a fiber are provided. Glass of a photodarkening-resistant ytterbium-doped quartz optical fiber core rod includes at least Yb2O3, Al2O3, P2O5, SiO2. The proportions of Yb2O3, Al2O3, and P2O5 in the entire substance are Yb2O3: 0.05-0.3 mol %, Al2O3: 1-3 mol %, and P2O5: 1-5 mol %, respectively. In the preparation method for the photodarkening-resistant ytterbium-doped quartz optical fiber, a sol-gel method and an improved chemical vapor deposition method are combined. By using the molecular-level doping uniformity and the low preparation loss thereof respectively, ytterbium ions, aluminum ions and phosphorus ions are effectively doped in a quartz matrix, thereby effectively solving the problems in the optical fiber of high loss, photodarkening caused by cluster or the like, and a central refractive index dip.

Abstract: Approaches to zero-shot learning include partitioning training data into first and second sets according to classes assigned to the training data, training a prediction module based on the first set to predict a cluster center based on a class label, training a correction module based on the second set and each of the class labels in the first set to generate a correction to a cluster center predicted by the prediction module, presenting a new class label for a new class to the prediction module to predict a new cluster center, presenting the new class label, the predicted new cluster center, and each of the class labels in the first set to the correction module to generate a correction for the predicted new cluster center, augmenting a classifier based on the corrected cluster center for the new class, and classifying input data into the new class using the classifier.

Abstract: The disclosure relates to activators of FXR useful in the treatment of autoimmune disorders, liver disease, intestinal disease, kidney disease, cancer, and other diseases in which FXR plays a role, having the Formula (I): wherein L1, L2, A, B, R1, R2, R3, and R4 are described herein.

Abstract: The invention relates to activators of FXR useful in the treatment of autoimmune disorders, liver disease, intestinal disease, kidney disease, cancer, and other diseases in which FXR plays a role, having the Formula (I): wherein L1, A, X1, X2, R1, R2, and R3 are described herein.

Abstract: The present application relates to compounds according to Formula (I), pharmaceutical compositions comprising at least one of said compounds, their use as a medicament, and their use in treating chronic hepatitis B virus (HBV) infection. The disclosure further pertains to methods for preparing compounds according to Formula (I).

Abstract: In one embodiment, a method includes executing server operations for processing a data item, wherein the server operations are based on feature values associated with the data item, executing a heuristic to determine a heuristic result value based on the feature values, determining a prediction result by a machine-learning model based on the feature values and the heuristic result value, wherein the prediction result is associated with an assessment score indicating an effectiveness of the machine-learning model, invoking a feedback function configured to update the machine-learning model based on the prediction result and the assessment score, and updating the machine-learning model when resources on the server are available.

Abstract: In one embodiment, a method includes receiving a request to determine whether to perform an action, wherein the action is based on one or more feature values, generating a prediction of whether to perform the action, wherein the prediction is generated using a machine-learning model that is trained based on the feature values, a heuristic value based on the feature values, and one or more feedback scores based on corresponding past predictions generated by the machine-learning model, where the heuristic value indicates whether to perform the action based on one or more predetermined conditions that are based on the feature values, performing the action when the prediction indicates that the action is to be performed, receiving a feedback score that indicates a level of effectiveness of the prediction, and updating the machine-learning model based on the feedback score, the feature values, and the heuristic value.

Abstract: The application describes fused heterocycle derivative compounds, pharmaceutical compositions comprising these compounds, chemical processes for preparing these compounds and their use in the treatment of diseases associated with HBV infection.

Abstract: A radiation-resistant laser optical fiber preform core rod at least includes one type of activated ion (Yb3+, Er3+) and one or more types of co-doped ion (Al3+, P5+, Ge4+, Ce3+, F?), and —OD group of 16-118 ppm. Irradiation resistance of core rod glass can be effectively improved by sequentially performing pre-treatments, i.e. deuterium loading, pre-irradiation and thermal annealing on a preform core rod. Electron paramagnetic resonance test shows that, under the same radiation condition, the radiation induced color center concentration in a preform core rod treated by the method above is lower than in an untreated core rod by one or more orders of magnitude. The obtained core rod can be used for preparing a radiation-resistant rare earth-doped silica fiber, and has the advantages of high laser slope efficiency, low background loss, being able to be used stably in a vacuum environment for a long time, for example.

Abstract: Provided are an antibody targeting NKG2A, a preparation method therefor and use thereof. Specifically, provided is a new mouse or humanized monoclonal antibody targeting NKG2A, and a method for preparing the monoclonal antibody. The monoclonal antibody can bind to an NKG2A antigen with high specificity, and has high affinity and significant activities such as anti-tumor activity.

Abstract: Approaches to zero-shot learning include partitioning training data into first and second sets according to classes assigned to the training data, training a prediction module based on the first set to predict a cluster center based on a class label, training a correction module based on the second set and each of the class labels in the first set to generate a correction to a cluster center predicted by the prediction module, presenting a new class label for a new class to the prediction module to predict a new cluster center, presenting the new class label, the predicted new cluster center, and each of the class labels in the first set to the correction module to generate a correction for the predicted new cluster center, augmenting a classifier based on the corrected cluster center for the new class, and classifying input data into the new class using the classifier.

Abstract: The disclosure relates to activators of FXR useful in the treatment of autoimmune disorders, liver disease, intestinal disease, kidney disease, cancer, and other diseases in which FXR plays a role, having the Formula (I): wherein L1, L2, A, B, R1, R2, R3, and R4 are described herein.

Abstract: A extended-time release method includes the following steps: mixing water with the toilet cleaner to form an initial solution when water enters a bowl; starting release of the initial solution while water level in the bowl returns to normal; and continuing release of the initial solution after the water level in the bowl returns to normal, in which a mixed liquid of the initial solution and the water in the bowl is referred to as a primary solution; in the above method, the volume of the initial solution is not less than 10 ml; and the content of the effective ingredients of the toilet cleaner in the primary solution is not less than 2 ppm.

Abstract: The disclosure relates to activators of FXR useful in the treatment of autoimmune disorders, liver disease, intestinal disease, kidney disease, cancer, and other diseases in which FXR plays a role, having the Formula (I): wherein L1, L2, A, B, R1, R2, R3, and R4 are described herein.

Abstract: Approaches to zero-shot learning include partitioning training data into first and second sets according to classes assigned to the training data, training a prediction module based on the first set to predict a cluster center based on a class label, training a correction module based on the second set and each of the class labels in the first set to generate a correction to a cluster center predicted by the prediction module, presenting a new class label for a new class to the prediction module to predict a new cluster center, presenting the new class label, the predicted new cluster center, and each of the class labels in the first set to the correction module to generate a correction for the predicted new cluster center, augmenting a classifier based on the corrected cluster center for the new class, and classifying input data into the new class using the classifier.