Abstract: The present invention relates to the field of pharmaceutical synthesis. Disclosed is a long-lasting hepatitis virus entry inhibitor. The long-lasting hepatitis virus entry inhibitor of the present invention is used for preparing a pharmaceutical composition for treating diseases, the pharmaceutical composition being used for treating chronic hepatitis B and hepatitis D.

Abstract: In one embodiment, a viewing behavior subsystem computes estimated viewership among target audiences at a person-level based on a household viewing logs and person-level data. A viewing behavior subsystem distributes the household viewing logs across buckets based on the sizes of the households and sets of person-level characteristics that are associated with the persons within the households. The viewing behavior subsystem generates a model for viewing behaviors associated with different sets of person-level characteristics based on the buckets. Subsequently, the viewing behavior subsystem estimates viewership among a target audience that is associated with one or more of the sets of person-level characteristics based on the model and census data.

Abstract: A method and system for determining an irradiation dose. The method for determining the irradiation dose includes determining a pixel having a biological feature in a region of interest in a radiotherapy simulated locating image by using a retrospective label; extracting a local radiomics feature based on the pixel having the biological feature, in which the local radiomics feature includes a grayscale histogram intensity, a tumor shape feature, a textural feature, a Laplacian of Gaussian filtering feature, and a wavelet feature; acquiring the local radiomics features to be measured; identifying a positive region having the local radiomics features to be measured based on the local radiomics features; performing three-dimensional reconstruction for the peripheral boundary of the positive region to determine a three-dimensional image.

Abstract: A method and system for determining an irradiation dose. The method for determining the irradiation dose includes determining a pixel having a biological feature in a region of interest in a radiotherapy simulated locating image by using a retrospective label; extracting a local radiomics feature based on the pixel having the biological feature, in which the local radiomics feature includes a grayscale histogram intensity, a tumor shape feature, a textural feature, a Laplacian of Gaussian filtering feature, and a wavelet feature; acquiring the local radiomics features to be measured; identifying a positive region having the local radiomics features to be measured based on the local radiomics features; performing three-dimensional reconstruction for the peripheral boundary of the positive region to determine a three-dimensional image.

Abstract: In one embodiment, a promotional subsystem generates promotional plans that include promotionals, where each promotional targets one or more pieces of scheduled content. First, the promotional subsystem generates a statistical model based on historical respondent viewership data. The statistical model model maps a respondent viewing of a promotional that targets a piece of scheduled content to a probability of the respondent viewing the piece of scheduled content. Subsequently, the promotional subsystem generates a proposed promotional plan based on the statistical model, a schedule that includes the piece of scheduled content, and a risk tolerance. Advantageously, the promotional subsystem may be configured to generate different proposed promotional plans based on different risk tolerances associated with different viewership growth strategies.

Abstract: A method and system for determining an irradiation dose. The method for determining the irradiation dose includes determining a pixel having a biological feature in a region of interest in a radiotherapy simulated locating image by using a retrospective label; extracting a local radiomics feature based on the pixel having the biological feature, in which the local radiomics feature includes a grayscale histogram intensity, a tumor shape feature, a textural feature, a Laplacian of Gaussian filtering feature, and a wavelet feature; acquiring the local radiomics features to be measured; identifying a positive region having the local radiomics features to be measured based on the local radiomics features; performing three-dimensional reconstruction for the peripheral boundary of the positive region to determine a three-dimensional image.

Abstract: In one embodiment, a promotional subsystem generates promotional plans that include promotionals, where each promotional targets one or more pieces of scheduled content. First, the promotional subsystem generates a statistical model based on historical respondent viewership data. The statistical model model maps a respondent viewing of a promotional that targets a piece of scheduled content to a probability of the respondent viewing the piece of scheduled content. Subsequently, the promotional subsystem generates a proposed promotional plan based on the statistical model, a schedule that includes the piece of scheduled content, and a risk tolerance. Advantageously, the promotional subsystem may be configured to generate different proposed promotional plans based on different risk tolerances associated with different viewership growth strategies.

Abstract: In one embodiment, a viewing behavior subsystem computes estimated viewership among target audiences at a person-level based on a household viewing logs and person-level data. A viewing behavior subsystem distributes the household viewing logs across buckets based on the sizes of the households and sets of person-level characteristics that are associated with the persons within the households. The viewing behavior subsystem generates a model for viewing behaviors associated with different sets of person-level characteristics based on the buckets. Subsequently, the viewing behavior subsystem estimates viewership among a target audience that is associated with one or more of the sets of person-level characteristics based on the model and census data.

Abstract: There are provided transaction proposal generation systems and methods. Such a system includes a hardware processor, a system memory, and a transaction proposal unit including a consumer-to-product matching module and a transaction analysis module stored in the system memory. The hardware processor is configured to execute the transaction proposal unit to receive a first data corresponding to a transactional history of each of several market participants, receive a second data corresponding to a demand, by each market participant, for each of a number of products, and transform the first data and the second data into a third data identifying a prospective consumer for at least one of the products. The transaction proposal unit can be further executed to determine terms for a transaction including the prospective consumer and the product(s), and generate a transaction proposal identifying the prospective consumer, the product(s), and the terms.

Abstract: Systems, methods and articles of manufacture to generate sales proposals, by determining, for a customer, a level of preference for each of a plurality of items of inventory, classifying each item of inventory into one of a plurality of categories, determining, for the customer, a price range for each item of inventory, computing a demand for each of a plurality of items of media content, selecting a subset of the items of advertising inventory based on: (i) the demand for each of a plurality of programs, (ii) the level of preference for each of the plurality of items of inventory, and (iii) the classification of each of the plurality of items of inventory, and computing: (i) a total cost for the proposal, and (ii) a cost for each item of inventory in the subset.