Abstract: Provided herein are methods and composition for trans-tympanic membrane delivery of therapeutic agents such as antimicrobial agents, anti-inflammatory agents, and anti-biofilm agents to the middle ear for rapid, localized treatment and prevention of diseases and conditions associated with a middle ear infection. In particular, provided herein are cationic, anionic, and polymer-based nanoparticles that provide a platform for delivery of therapeutic cargo, as well as cationic, anionic, and polymer-based nanoparticles compositions for rapid, localized delivery of therapeutic agents to the middle ear.

Abstract: A method may include allocating, based on a first load requirement of a first tenant, a first bin having a fixed capacity for handing the first load requirement of the first tenant. In response to the first load requirement of the first tenant exceeding a first threshold of the fixed capacity of the first bin, packing a second bin allocated to handle a second load requirement of a second tenant. The second bin may be packed by transferring, to the second bin, the first load requirement of the first tenant based on the transfer not exceeding the first threshold of the fixed capacity of the second bin. In response to the transfer exceeding the first threshold of the fixed capacity of the second bin, allocating a third bin to handle the first load requirement of the first tenant.

Abstract: Various methods, apparatuses/systems, and media for data migration readiness of a target data source are disclosed. A processor hosts an application on a cloud server; receives data corresponding to the application from a plurality of types of data sources; defines expressions to be applied to the data for parsing and transforming the data dynamically on the cloud server; validates the defined expressions based on a determination that each defined expression meets a predefined threshold value; generates a lookup data file in a predefined file format in response to validating the defined expressions; parses the lookup data file; dynamically transforms the data based on the parsed lookup data file and applying the validated expressions; and generates an output file in the predefined file format for consumption after transforming the data.

Abstract: An aircraft ground refueling management system of the present disclosure utilizes various components already existing in an aircraft ground refueling vehicle to characterize and track, in real time, events of an aircraft refueling operation. The components include a fuel meter, a fuel delivery deadman sensor, a fuel nozzle sensor and a ground refueling vehicle brake sensor. Data from these components in combination with data provided by a mobile computing device that is integral to the refueling operation provide the data points to determine the amount of time elapsed for each event of the refueling operation. Knowledge of each event of the refueling operation provides the opportunity for identifying where time spent can be reduced.

Abstract: A method may include identifying an identifier field included in a first datatype of a seed data sample associated with a source system. The identifier field may store a first value that enables a differentiation between different instances of the first datatype. A relationship field, which stores a second value that define a relationship between the first datatype and a second data type, may be identified. A synthetic data sample may be generated by populating the identifier field of the synthetic data sample with a synthetically generated value and the relationship field of the synthetic data sample with the second value. The synthetic data sample may be sent to a target system to enable a performance of a task at the target system. The synthetic data sample may supplement a volume and/or a diversity of the data that occurs organically at the source system.

Abstract: Various methods, apparatuses/systems, and media for data migration readiness of a target data source are disclosed. A processor hosts an application on a cloud server; receives data corresponding to the application from a plurality of types of data sources; defines expressions to be applied to the data for parsing and transforming the data dynamically on the cloud server; validates the defined expressions based on a determination that each defined expression meets a predefined threshold value; generates a lookup data file in a predefined file format in response to validating the defined expressions; parses the lookup data file; dynamically transforms the data based on the parsed lookup data file and applying the validated expressions; and generates an output file in the predefined file format for consumption after transforming the data.

Abstract: A method of measuring Operational Equipment Effectiveness for one or more machines is described. The method comprises the following steps. One or more machines and a server are connected to a data network. At the server, a stream of tags is received from the one or more machines. This stream of tags is provided over the data network. The tags are defined according to an open standard for providing machine data. At the server, Operational Equipment Effectiveness is determined for the one or more machines using a machine learning generated model. This machine learning generated model has been trained to determine Operational Equipment Effectiveness parameters for the one or more machines from the tags. A method of training a server to measure Operational Equipment Effectiveness for one or more machines is also described, together with a suitable server and a suitably enabled set of machines.

Abstract: A method may include identifying an identifier field included in a first datatype of a seed data sample associated with a source system. The identifier field may store a first value that enables a differentiation between different instances of the first datatype. A relationship field, which stores a second value that define a relationship between the first datatype and a second data type, may be identified. A synthetic data sample may be generated by populating the identifier field of the synthetic data sample with a synthetically generated value and the relationship field of the synthetic data sample with the second value. The synthetic data sample may be sent to a target system to enable a performance of a task at the target system. The synthetic data sample may supplement a volume and/or a diversity of the data that occurs organically at the source system.

Abstract: A method may include allocating, based on a first load requirement of a first tenant, a first bin having a fixed capacity for handing the first load requirement of the first tenant. In response to the first load requirement of the first tenant exceeding a first threshold of the fixed capacity of the first bin, packing a second bin allocated to handle a second load requirement of a second tenant. The second bin may be packed by transferring, to the second bin, the first load requirement of the first tenant based on the transfer not exceeding the first threshold of the fixed capacity of the second bin. In response to the transfer exceeding the first threshold of the fixed capacity of the second bin, allocating a third bin to handle the first load requirement of the first tenant.

Abstract: An aircraft ground refueling management system of the present disclosure utilizes various components already existing in an aircraft ground refueling vehicle to characterize and track, in real time, events of an aircraft refueling operation. The components include a fuel meter, a fuel delivery deadman sensor, a fuel nozzle sensor and a ground refueling vehicle brake sensor. Data from these components in combination with data provided by a mobile computing device that is integral to the refueling operation provide the data points to determine the amount of time elapsed for each event of the refueling operation. Knowledge of each event of the refueling operation provides the opportunity for identifying where time spent can be reduced.

Abstract: Provided herein are methods and composition for trans-tympanic membrane delivery of therapeutic agents such as antimicrobial agents, anti-inflammatory agents, and anti-biofilm agents to the middle ear for rapid, localized treatment and prevention of diseases and conditions associated with a middle ear infection. In particular, provided herein are cationic, anionic, and polymer-based nanoparticles that provide a platform for delivery of therapeutic cargo, as well as cationic, anionic, and polymer-based nanoparticles compositions for rapid, localized delivery of therapeutic agents to the middle ear.

Abstract: Provided herein are methods and composition for trans-tympanic membrane delivery of therapeutic agents such as antimicrobial agents, anti-inflammatory agents, and anti-biofilm agents to the middle ear for rapid, localized treatment and prevention of diseases and conditions associated with a middle ear infection. In particular, provided herein are cationic, anionic, and polymer-based nanoparticles that provide a platform for delivery of therapeutic cargo, as well as cationic, anionic, and polymer-based nanoparticles compositions for rapid, localized delivery of therapeutic agents to the middle ear.

Abstract: A game assembly is configured to adjust an amount of money on a game token. The game assembly has a gameboard that uses a continuous path segregated into individually labeled areas. A random number generator randomly selects an integer between one and six. A token is placed on a first individually labeled area. A first instruction card is placed on the gameboard. The first instruction card designates a first play money amount to the token. A second instruction card is placed on the gameboard. Engaging the random number generator produces an integer that directs the token to move to a second individually labeled area. The integer links to instructions on the second instruction card for adjusting the first play money amount on the token.

Abstract: Provided herein are methods and composition for trans-tympanic membrane delivery of therapeutic agents such as antimicrobial agents, anti-inflammatory agents, and anti-biofilm agents to the middle ear for rapid, localized treatment and prevention of diseases and conditions associated with a middle ear infection. In particular, provided herein are cationic, anionic, and polymer-based nanoparticles that provide a platform for delivery of therapeutic cargo, as well as cationic, anionic, and polymer-based nanoparticles compositions for rapid, localized delivery of therapeutic agents to the middle ear.

Abstract: Methods and systems for generating a diagram from structured data and synchronizing modifications between the diagram and the structured data. One system includes at least one processor configured to receive a plurality of transformation settings for the structured data and generate and store a plurality of first expressions and a plurality of second expressions based on the structured data and the plurality of transformation settings. The processor is further configured to generate and organize a plurality of visual structures based on the plurality of first expressions and the plurality of second expressions and generate and output a diagram for display through a user interface including the plurality of visual structures. In addition, the processor is configured to receive a modification to the diagram through the user interface, and modify the structured data based on the modification, the plurality of first expressions, and the plurality of second expressions.

Abstract: Implementations relate to peer-to-peer discovery, connection, and data transfer providing privacy protection and increased security features.

Abstract: Methods and systems for generating a diagram from structured data and synchronizing modifications between the diagram and the structured data. One system includes at least one processor configured to receive a plurality of transformation settings for the structured data and generate and store a plurality of first expressions and a plurality of second expressions based on the structured data and the plurality of transformation settings. The processor is further configured to generate and organize a plurality of visual structures based on the plurality of first expressions and the plurality of second expressions and generate and output a diagram for display through a user interface including the plurality of visual structures. In addition, the processor is configured to receive a modification to the diagram through the user interface, and modify the structured data based on the modification, the plurality of first expressions, and the plurality of second expressions.

Abstract: Embodiments of photoactivatable, lipid-based nanoparticles are disclosed, as well as methods of making and using the nanoparticles. Pharmaceutical compositions including the nanoparticles also are disclosed. The lipid-based nanoparticles include a vesicle wall surrounding a cavity, wherein the vesicle wall includes (i) a lipid bilayer comprising 1,2-bis(tricosa-10,12-diynoyl)-sn-glycero-3-phosphocholine (DC8,9PC), dipalmitoylphosphatidylcholine (DPPC), and (ii) 2-[1-hexyloxyethyl]-2-devinyl pyropheophorbide-a (HPPH) within the lipid bilayer. The nanoparticles may further include an agent within the cavity.

Abstract: Implementations relate to peer-to-peer discovery, connection, and data transfer providing privacy protection and increased security features.

Abstract: Novel tools and techniques that can be used to enhance the effectiveness of photogrammetric tools, such as bundle adjustment. One set of techniques can include a photo-observable backsight operation, in which a position of target point can be observed non-photographically, and this observed position can be used to constrain a pixel coordinate location of the same target point in a bundle adjustment operation. Using another technique, a photo-observable check shot operation, the observed position of another target point can be used to verify the validity of a bundle adjustment calculation. Such techniques can be used together or separately.