Abstract: The disclosure discloses a point-of-interest recommendation method based on a temporal knowledge graph. Based on the historical behavior trajectory of the user and multimodal information, the disclosure constructs a dynamic temporal knowledge graph and a static group knowledge graph, which are used to learn interest preferences of the user that change over time and stable features that do not change over time, respectively. At the same time, the disclosure uses deep learning methods to build a point-of-interest recommendation model, which can extract a point-of-interest fusion feature representation and a user fusion feature representation from the two knowledge graphs in combination with a user review sentiment embedding sequence to accurately predict a point of interest most likely to be visited by the target user at a next moment. The disclosure has the characteristics of high precision and strong scalability, and can provide support for personalized user behavior trajectory prediction.

Abstract: Systems and methods for chest condition determination can leverage one or more machine-learned models to process radiograph data to determine risk data (e.g., a preliminary diagnosis). For example, systems and methods can utilize a pathology model to process a chest x-ray to generate a tuberculosis diagnosis. The one or more machine-learned models can segment the lungs, can detect features in the data, and can pool the segmentation and located features to determine the diagnosis.

Abstract: Disclosed is a Fe-based bulk amorphous alloy composition which forms a bulk amorphous substance due to its excellent amorphous formability when it is cooled to a temperature lower than its glass transition temperature from the liquid state at a relatively low cooling rate of 1000 K/s or less, has high warm processability in a low temperature range owing to its supercooled liquid region of 20K or higher and has excellent fluidity in the liquid state and thereby good castability.

Abstract: Disclosed is a Fe-based bulk amorphous alloy composition which forms a bulk amorphous substance due to its excellent amorphous formability when it is cooled to a temperature lower than its glass transition temperature from the liquid state at a relatively low cooling rate of 1000 K/s or less, has high warm processability in a low temperature range owing to its supercooled liquid region of 20K or higher and has excellent fluidity in the liquid state and thereby good castability.