Abstract: A fantasy sports audio simulation system that provides an audio experience that allows contest participants and spectators to listen to a simulated virtual fantasy sports contest. These simulations can occur at any time between any two or more contest participants, like mini contests within the context of a broader league. Once a league is formed and team rosters are created, numerical calculations are performed based on real-athlete statistics to determine a current “state” of performance for all virtual athletes in gameplay. Further simulation inputs can be provided by artificial intelligence, coaching, randomization, and other factors. This statistical analysis is the basis for assigning performance variables to each virtual athlete, which allows the system to calculate numerical point values based on the performance of each virtual athlete and team in this fantasy sports auditory simulation system.

Abstract: Systems and methods for dynamic content placement based on pixel count confidences in pre-existing content. For example, the system may receive a first media asset. The system may determine a first pixel count requirement for the first media asset, wherein the first pixel count requirement indicates a required number of pixels appearing in objects for incorporating the first media asset. The system may identify a first object in a second media asset. The system may determine, using an artificial intelligence model, a first pixel count confidence that the first object meets the first pixel count requirement. The system may, in response to determining that the first pixel count confidence corresponds to the threshold pixel count confidence, generate for display, in a user interface, the first media asset at the first object while the second media asset is presented.

Abstract: Methods and systems are disclosed herein to address the problems discussed above and in particular to provide coordination for uncoordinated content. Beyond simply archiving and/or organizing available content, the methods and systems generate composite media assets that provide enriched details and supplemental data that extends beyond any given source content. The methods and systems achieve this through a novel data filtration and synchronization process.

Abstract: Methods and systems are disclosed herein to address the problems discussed above and in particular to provide coordination for uncoordinated content. Beyond simply archiving and/or organizing available content, the methods and systems generate composite media assets that provide enriched details and supplemental data that extends beyond any given source content. The methods and systems achieve this through a novel data filtration and synchronization process.

Abstract: The present disclosure provides compositions and methods of using gene therapy to decrease cell migration and metastasis and reduce tumor mass or burden. The methods disclosed herein employ plasmids, vectors, and non-viral vectors that contain PCBP1 and/or PCBP1 mutants which inhibit the expression of cancer biomarkers and decrease cell migration or tumor size.

Abstract: Systems and methods for generating dynamically updated metadata using real-time artificial intelligence models. For example, the system may receive a first metadata tag requirement for first metadata of a first media asset. The system may determine a first metadata field for the first metadata based on the first metadata tag requirement. The system may determine a first content population function for the first metadata field. The system may generate the first metadata with the first content population function. The system may generate the first media asset with the first metadata.

Abstract: Provided herein are novel antibody sequences that bind to CD147 and inhibit viral or parasite invasion, reduce inflammation, and reduce cancer cell viability. The present disclosure also provides methods of using these antibodies to treat viral infection and cancer.

Abstract: Methods and systems are proposed herein to address the inefficiencies in the recommendation schemes available. More specifically, the embodiments disclosed herein provide a new recommendation scheme, whereby a user enters various criteria for what he/she would like to be recommended. For example, the system may receive a user preference for content recommendations from a user. The system may retrieve a user profile for the user. The system may compare the user preference to the user profile to determine a criterion for content recommendations for the user. The system may receive a content attribute for content provided by a content provider. The system may match the criterion to the content attribute. The system may, in response to matching the criterion to the content attribute, generate for display a recommendation to the user for the content.

Abstract: Methods and systems are proposed herein to address the inefficiencies in the recommendation schemes available. More specifically, the embodiments disclosed herein provide a new recommendation scheme, whereby a user enters various criteria for what he/she would like to be recommended. For example, the system may receive a user preference for content recommendations from a user. The system may retrieve a user profile for the user. The system may compare the user preference to the user profile to determine a criterion for content recommendations for the user. The system may receive a content attribute for content provided by a content provider. The system may match the criterion to the content attribute. The system may, in response to matching the criterion to the content attribute, generate for display a recommendation to the user for the content.

Abstract: Systems and methods for generating dynamically updated metadata using real-time artificial intelligence models. For example, the system may receive a first metadata tag requirement for first metadata of a first media asset. The system may determine a first metadata field for the first metadata based on the first metadata tag requirement. The system may determine a first content population function for the first metadata field. The system may generate the first metadata with the first content population function. The system may generate the first media asset with the first metadata.

Abstract: Methods and systems are described herein for novel uses and/or improvements to blockchain technology. As one example, methods and systems are described herein for facilitating cross-chain processing actions in decentralized networks. One solution to accommodate cross-chain processing actions uses a processing pool, which acts as an intermediary between two blockchain networks. The system and methods described herein further provide a novel model for the operation of self-executing programs for the autonomous execution of the automated processing pool.

Abstract: Methods and systems are proposed herein to address the inefficiencies in the recommendation schemes available. More specifically, the embodiments disclosed herein provide a new recommendation scheme, whereby a user enters various criteria for what he/she would like to be recommended. For example, the system may receive a user preference for content recommendations from a user. The system may retrieve a user profile for the user. The system may compare the user preference to the user profile to determine a criterion for content recommendations for the user. The system may receive a content attribute for content provided by a content provider. The system may match the criterion to the content attribute. The system may, in response to matching the criterion to the content attribute, generate for display a recommendation to the user for the content.

Abstract: Methods and systems are disclosed herein to address the problems discussed above and in particular to provide coordination for uncoordinated content. Beyond simply archiving and/or organizing available content, the methods and systems generate composite media assets that provide enriched details and supplemental data that extends beyond any given source content. The methods and systems achieve this through a novel data filtration and synchronization process.

Abstract: The present disclosure provides compositions and methods of using gene therapy to create induced pluripotent stem cells (iPSCs) without inducing cancer or tumorigenesis. The methods disclosed herein employ plasmids and vectors that contain transcription factors and an anti-oncogene such as PCBP1 which inhibits the expression of cancer biomarkers and concomitant oncogenesis.

Abstract: In some embodiments, affective-state-based artificial intelligence may be facilitated. One or more growth or decay factors for a set of affective attributes of an artificial intelligence entity may be determined, and a set of affective values, which are associated with the set of affective attributes, may be continuously updated based on the growth or decay factors. An input may be obtained, and a response related to the input may be generated based on the continuously-updated set of affective values of the artificial intelligence entity. In some embodiments, the growth or decay factors may be updated based on the input and subsequent to the updating of the decay factors, the affective values may be updated based on the updated growth or decay factors.

Abstract: A fantasy sports visual simulation system providing an audiovisual experience that allows contest participants and spectators to view a videogame-like model of a virtual fantasy sports contest. These simulations can occur at any time between any two or more contest participants, like mini contests within the context of a broader league. Once a league is formed and team rosters are created, numerical calculations are performed based on real-athlete statistics to determine a current “state” of performance for all virtual athletes in gameplay. Further simulation inputs can be provided by artificial intelligence, coaching, randomization, and other factors. This statistical analysis is the basis for assigning performance variables to each virtual athlete, which allows the system to calculate numerical point values based on the performance of each virtual athlete and team in this fantasy sports visual simulation system.

Abstract: In some embodiments, affective-state-based artificial intelligence may be facilitated. One or more growth or decay factors for a set of affective attributes of an artificial intelligence entity may be determined, and a set of affective values, which are associated with the set of affective attributes, may be continuously updated based on the growth or decay factors. An input may be obtained, and a response related to the input may be generated based on the continuously-updated set of affective values of the artificial intelligence entity. In some embodiments, the growth or decay factors may be updated based on the input and subsequent to the updating of the decay factors, the affective values may be updated based on the updated growth or decay factors.

Abstract: The disclosure teaches antibodies that are useful, inter alia, in methods for detecting and treating human cancer. In a particular aspect, the disclosure teaches novel antibodies that are useful for detecting and treating human breast cancer. In some embodiments, the disclosure teaches novel antibodies that bind to filamin A. In some embodiments, the antibodies are intrabodies.

Abstract: The present disclosure provides compositions and methods of using gene therapy to decrease cell migration and metastasis and reduce tumor mass or burden. The methods disclosed herein employ plasmids, vectors, and non-viral vectors that contain PCBP1 and/or PCBP1 mutants which inhibit the expression of cancer biomarkers and decrease cell migration or tumor size.

Abstract: A fantasy sports visual simulation system providing an audiovisual experience that allows contest participants and spectators to view a videogame-like model of a virtual fantasy sports contest. These simulations can occur at any time between any two or more contest participants, like mini contests within the context of a broader league. Once a league is formed and team rosters are created, numerical calculations are performed based on real-athlete statistics to determine a current “state” of performance for all virtual athletes in gameplay. Further simulation inputs can be provided by artificial intelligence, coaching, randomization, and other factors. This statistical analysis is the basis for assigning performance variables to each virtual athlete, which allows the system to calculate numerical point values based on the performance of each virtual athlete and team in this fantasy sports visual simulation system.