Abstract: Techniques are provided for an object file system for an object store. Data, maintained by a computing device, is stored into slots of an object. The data within the slots of the object is represented as a data structure comprising a plurality of nodes comprising cloud block numbers used to identify the object and particular slots of the object. A mapping metafile is maintained to map block numbers used to store the data by the computing device to cloud block numbers of nodes representing portion of the data stored within slots of the object. The object is stored into the object store, and the mapping metafile and the data structure are used to provide access through the object file system to portions of data within the object.

Abstract: Disclosed is a method of adaptive assignment of location to internet protocol (IP) indexed data streams using machine learning from partially observable location data. The method includes (i) generating an IP to location map (NM1) and a location to IP map (NM2) by (i) mapping the IP address from location indexed data streams to corresponding location temporally and vice versa, in a base map, (ii) scoring and ranking each entry in the NM1 and the NM2 based on a frequency of use of the IP address, and a number of unique entity identifiers per IP address or per location, (iii) filtering each entry in the NM1 and the NM2 to generate a dynamic IP to location map, and (iv) estimating, a location for an IP indexed data streams at multiple levels of resolutions based on the dynamic IP to location map and an active ST region of each entity.

Abstract: Described is a passenger seat having a seat member moveable between a stowed position and a deployed position and at least one actuator coupled to at least one portion of the seat member, wherein the at least one actuator is activable without direct contact with a passenger's hand to change a lock state of the seat member, and wherein an unlocked state of the seat member permits movement of the seat member between the stowed position and the deployed position.

Abstract: A system and method for automatically parsing an unstructured conversation to determine target entities for an engagement activity are provided. The method includes (i) obtaining the unstructured conversation associated with an asset using a dialogue manager, (ii) parsing the unstructured conversation using a natural language processing (NLP) model to obtain a target information associated with the asset, (iii) extracting attributes of one or more target entities from the target information using a Natural Language Understanding (NLU) model of domain of the unstructured conversation, (iv) generating, using the attributes of the one or more target entities, a definition of the cohort and at least one criteria for cohort curation for the asset by converting the unstructured conversation to a structured target information, and (v) determining a size of the one or more target entities based on the definition and the criteria for cohort curation for the asset for an engagement activity.

Abstract: A system for real time cohort creation of entities based on entity attributes derived from partially observable location data is provided. The system (i) obtains, in real time, one or more data streams from one or more independently controlled entity sources that include a unique entity identifier, entity attributes, time-stamp data, location indexed data (ii) de-duplicates the one or more data streams associated with an entity by analyzing the entity attributes associated with the unique entity identifier, (iii) classifies a unified entity event from the one or more data streams along with dynamic entity attributes retrieved from a memory store, and storing the dynamic attributes in an entity attribute document of the entity (iv) reverse searches, to match the entity attribute document with at least one query (v) generates entity cohorts based on the matched entity attribute document of the entities with at least one cohort labels and communicates a target media content to the entity cohorts over a network.

Abstract: Disclosed is a method of adaptive assignment of location to internet protocol (IP) indexed data streams using machine learning from partially observable location data. The method includes (i) generating an IP to location map (NM1) and a location to IP map (NM2) by (i) mapping the IP address from location indexed data streams to corresponding location temporally and vice versa, in a base map, (ii) scoring and ranking each entry in the NM1 and the NM2 based on a frequency of use of the IP address, and a number of unique entity identifiers per IP address or per location, (iii) filtering each entry in the NM1 and the NM2 to generate a dynamic IP to location map, and (iv) estimating, a location for an IP indexed data streams at multiple levels of resolutions based on the dynamic IP to location map and an active ST region of each entity.

Abstract: The present invention concerns the use of emetine compounds for the treatment or prevention of Flavivirus infections, such as dengue virus infections. Aspects of the invention include methods for treating or preventing Flavivirus virus infection, such as dengue virus infection, by administering an emetine compound such as emetine or cephaeline, or a combination of two or more emetine compounds, to a subject in need thereof; methods for inhibiting Flavivirus infections such as dengue virus infections in a cell in vitro or in vivo; pharmaceutical compositions; packaged dosage formulations; and kits for treating or preventing Flavivirus infections, such dengue virus infections.

Abstract: A system for real time cohort creation of entities based on entity attributes derived from partially observable location data is provided. The system (i) obtains, in real time, one or more data streams from one or more independently controlled entity sources that include a unique entity identifier, entity attributes, time-stamp data, location indexed data (ii) de-duplicates the one or more data streams associated with an entity by analyzing the entity attributes associated with the unique entity identifier, (iii) classifies a unified entity event from the one or more data streams along with dynamic entity attributes retrieved from a memory store, and storing the dynamic attributes in an entity attribute document of the entity (iv) reverse searches, to match the entity attribute document with at least one query (v) generates entity cohorts based on the matched entity attribute document of the entities with at least one cohort labels and communicates a target media content to the entity cohorts over a network.

Abstract: The present invention concerns the use of emetine compounds for the treatment or prevention of Flavivirus infections, such as dengue virus infections. Aspects of the invention include methods for treating or preventing Flavivirus virus infection, such as dengue virus infection, by administering an emetine compound such as emetine or cephaeline, or a combination of two or more emetine compounds, to a subject in need thereof; methods for inhibiting Flavivirus infections such as dengue virus infections in a cell in vitro or in vivo; pharmaceutical compositions; packaged dosage formulations; and kits for treating or preventing Flavivirus infections, such dengue virus infections.

Abstract: The present invention concerns the use of emetine compounds for the treatment or prevention of Flavivirus infections, such as Zika virus infections. Aspects of the invention include methods for treating or preventing Flavivirus virus infection, such as Zika virus infection, by administering an emetine compound such as emetine or cephaeline, or a combination of two or more emetine compounds, to a subject in need thereof; methods for inhibiting Flavivirus infections such as Zika virus infections in a cell in vitro or in vivo; pharmaceutical compositions; packaged dosage formulations; and kits for treating or preventing Flavivirus infections, such Zika virus infections.

Abstract: The present invention concerns the use of emetine compounds for the treatment or prevention of Flavivirus infections, such as Zika virus infections. Aspects of the invention include methods for treating or preventing Flavivirus virus infection, such as Zika virus infection, by administering an emetine compound such as emetine or cephaeline, or a combination of two or more emetine compounds, to a subject in need thereof; methods for inhibiting Flavivirus infections such as Zika virus infections in a cell in vitro or in vivo; pharmaceutical compositions; packaged dosage formulations; and kits for treating or preventing Flavivirus infections, such Zika virus infections.

Abstract: Methods and systems are provided for decluttering icons on a map graphically presented on a display. In one implementation, a method is provided for decluttering icons representing points-of-interest on a map, wherein the method includes determining whether icons in a map view are overlapping and grouping the icons which are determined to overlap into at least one icon group. The method may also include repositioning the icons in each icon group into a decluttered icon patterns, wherein repositioning includes repositioning the icons at a predetermined distance from a common focal point. In addition, the method may include adjusting the repositioned icons to a different position in the map view when the repositioned icons overlap. Additionally, or alternatively, the method may include repositioning an icon in at least one decluttered icon pattern to a new position in the map view based on input from a user.

Abstract: Systems and methods for determining a composite procurement risk rating for procuring a product part are described. Generally, parameters are registered by a host system and analyzed with at least one predetermined rule set to determine the composite procurement risk rating. An alert that includes the composite procurement risk rating may be transmitted to a user device.

Abstract: Methods and systems are provided for decluttering icons on a map graphically presented on a display. In one implementation, a method is provided for decluttering icons representing points-of-interest on a map, wherein the method includes determining whether icons in a map view are overlapping and grouping the icons which are determined to overlap into at least one icon group. The method may also include repositioning the icons in each icon group into a decluttered icon patterns, wherein repositioning includes repositioning the icons at a predetermined distance from a common focal point. In addition, the method may include adjusting the repositioned icons to a different position in the map view when the repositioned icons overlap. Additionally, or alternatively, the method may include repositioning an icon in at least one decluttered icon pattern to a new position in the map view based on input from a user.

Abstract: Methods and systems are provided for decluttering icons on a map graphically presented on a display. In one implementation, a method is provided for decluttering icons representing points-of-interest on a map, wherein the method includes determining whether icons in a map view are overlapping and grouping the icons which are determined to overlap into at least one icon group. The method may also include repositioning the icons in each icon group into a decluttered icon patterns, wherein repositioning includes repositioning the icons at a predetermined distance from a common focal point. In addition, the method may include adjusting the repositioned icons to a different position in the map view when the repositioned icons overlap. Additionally, or alternatively, the method may include repositioning an icon in at least one decluttered icon pattern to a new position in the map view based on input from a user.

Abstract: Methods and systems are provided for decluttering icons on a map graphically presented on a display. In one implementation, a method is provided for decluttering icons representing points-of-interest on a map, wherein the method includes determining whether icons in a map view are overlapping and grouping the icons which are determined to overlap into at least one icon group. The method may also include repositioning the icons in each icon group into a decluttered icon patterns, wherein repositioning includes repositioning the icons at a predetermined distance from a common focal point. In addition, the method may include adjusting the repositioned icons to a different position in the map view when the repositioned icons overlap. Additionally, or alternatively, the method may include repositioning an icon in at least one decluttered icon pattern to a new position in the map view based on input from a user.