Abstract: An analytics system receives, from a client computing device, a request to generate a presentation. The analytics system accesses one or more feedback datasets of feedback data. The feedback data comprises unstructured data available from multiple data stores. The analytics system generates, for each feedback dataset, a respective feedback text and a respective sentiment score indicating a degree of negativity associated with the respective feedback text. For a combination of a plurality of generated feedback texts, the analytics system selects a set of themes based at least on a plurality of generated sentiment scores. Each sentiment score of the plurality of generated sentiment scores is associated with one of the plurality of generated feedback texts. The analytics system generates a presentation file that indicates the set of themes. The analytics system causes the presentation file to be transmitted to the client computing device.

Abstract: The invention includes methods and compositions for the treatment and prevention of a disease or condition resulting from dysregulation of USB1 and resulting expression of downstream miRNAs. In one preferred embodiment, the invention may include inhibiting the expression or activity of USB1 resulting in the downregulation of downstream miRNA expression. In alternative embodiments, the invention includes methods and compositions for the treatment and prevention of a disease or condition resulting from dysregulation of miRNAs downstream of USB1, namely through the inhibition of PAPD5 and/or PAPD7, resulting in the upregulation of said downstream miRNA expression.

Abstract: A method for selecting a non-terrestrial network (NTN) cell by a user equipment (UE) is provided. The method includes receiving one or more system parameters from a serving NTN cell and a plurality of NTN neighbor cells, determining trajectory information associated with the plurality of NTN neighbor cells based on the one or more received system parameters, and selecting the NTN cell among the plurality of NTN neighbor cells to perform at least one of a cell reselection and a conditional hand over (CHO) based on the determined trajectory information associated with the plurality of NTN neighbor cells.

Abstract: Disclosed herein are methods and systems for filtering entity profiles. A method includes receiving, from a plurality of data sources and for a plurality of medical entities, clinical data and online interaction data; generating a plurality of entity profiles for the plurality medical entities; calculating one or more clinical metrics and one or more online interaction metrics for the plurality of entity profiles from the clinical data and the online interaction data; executing a model using identifications of the plurality of entity profiles and the one or more clinical metrics and the one or more online interaction metrics as input to generate influence scores for the plurality of entity profiles; selecting a subset of the plurality of entity profiles responsive to each entity profile of the subset having an influence score satisfying a selection criteria; and generating a record comprising identifications of the subset of the plurality of entity profiles.

Abstract: Disclosed herein are methods and systems for implementing a multi-model computer architecture for entity identification. A method includes receiving data regarding a plurality of entities. The method includes generating a plurality of entity profiles for the plurality entities and a network graph data structure (e.g., a node graph) comprising edges between nodes for the plurality of entity profiles. The method includes executing a model using identifiers of the plurality of entity profiles, an event topic, and the edges between the nodes as input to generate one or more composite scores for the plurality of entity profiles. The method includes selecting one or more entities for the event based on the generated one or more composite scores. The method includes generating a record comprising associations between identifications of the entities and the event.

Abstract: The present disclosure relates to a method and apparatus for power management by a user equipment (UE). The method comprises: determining whether at least one of a plurality of modes has been triggered at the UE; determining an optimized scaling factor by the UE based on at least one of a plurality of parameters associated with an operating condition of the UE, upon determining that the at least one of the plurality of modes has been triggered; and transmitting the optimized scaling factor to a network, wherein the optimized scaling factor indicates that less network resources are required.

Abstract: The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method for optimizing power in a user equipment (UE) is provided. The method includes receiving, from a network, one or more relaxed measurement parameters, determining one of a mobility state or a location of the UE with respect to an edge of a serving cell of a visited public land mobile network (VPLMN) of the network based on one or more relaxed measurement parameters, and deferring a background PLMN (BPLMN) search upon determining one of the UE being in a low mobility state or not being at the edge of the serving cell, and/or deferring a near cell measurement search during a measurement gap of a connected mode discontinuous reception (CDRX) sleep duration of a CDRX state to optimize the power consumption in the UE upon determining one of the UE being in the low mobility state or not being located at the edge of the serving cell.

Abstract: An analytics system receives, from a client computing device, a request to generate a presentation for an entity, the request indicating a presentation template to present one or more combinations of theme information, actionable insights information, and question information. The analytics system accesses feedback data associated with the entity. The feedback data comprises unstructured data available from multiple data stores. The analytics system determines analytical data that indicates themes, actionable insights, and questions generated from the feedback data. The analytics system generates a presentation file based on the analytical data. The presentation file includes one or more combinations of the themes, actionable insights, and questions according to the presentation template. The analytics system causes the presentation file to be transmitted to the client computing device.

Abstract: An analytics system receives, from a client computing device, a request to generate a presentation. The analytics system accesses one or more feedback datasets of feedback data. The feedback data comprises unstructured data available from multiple data stores. The analytics system generates, for each feedback dataset, a respective feedback text and a respective sentiment score indicating a degree of negativity associated with the respective feedback text. For a combination of a plurality of generated feedback texts, the analytics system selects a set of themes based at least on a plurality of generated sentiment scores. Each sentiment score of the plurality of generated sentiment scores is associated with one of the plurality of generated feedback texts. The analytics system generates a presentation file that indicates the set of themes. The analytics system causes the presentation file to be transmitted to the client computing device.

Abstract: An analytics system receives, from a client computing device, a request to generate a presentation. The analytics system accesses one or more feedback datasets of feedback data. The feedback data comprises unstructured data available from multiple data stores. The analytics system generates, for each feedback dataset, a respective feedback text and a respective sentiment associated with the respective feedback text. The analytics system applies a model to a plurality of generated feedback texts to extract actionable insights. The actionable insights comprise portions of feedback texts that are (1) associated with items associated with an entity and (2) include a negative sentiment. The analytics system generates a presentation file that indicates the actionable insights.

Abstract: The present invention includes the novel therapeutic strategies, systems., and compositions for the treatment of telomere-associated disease or disorder through the inhibition of PAPD5/7. the present invention includes the novel therapeutic application of PAPD5 inhibitors for the treatment of disease conditions that implicate reduced telomerase RNA levels. In particular, the present invention includes the novel therapeutic application of PAPD5 inhibitors for the treatment of dyskeratosis congenita, aplastic anemia, and myelodysplastic syndrome. In one preferred embodiment, the present invention includes the novel therapeutic application of RG7834 for the treatment of disease conditions that implicate reduced telomerase RNA levels. In particular, the present invention includes the novel therapeutic application of RG7834 for the treatment of dyskeratosis congenita, aplastic anemia, and myelodysplastic syndrome.

Abstract: The invention includes methods and compositions for the treatment and prevention of a disease or condition resulting from dysregulation of USB1 and resulting expression of downstream miRNAs. In one preferred embodiment, the invention may include inhibiting the expression or activity of USB1 resulting in the downregulation of downstream miRNA expression. In alternative embodiments, the invention includes methods and compositions for the treatment and prevention of a disease or condition resulting from dysregulation of miRNAs downstream of USB1, namely through the inhibition of PAPD5 and/or PAPD7, resulting in the upregulation of said downstream miRNA expression.