Abstract: Interference-based augmented reality hosting platforms are presented. Hosting platforms can include networking nodes capable of analyzing a digital representation of scene to derive interference among elements of the scene. The hosting platform utilizes the interference to adjust the presence of augmented reality objects within an augmented reality experience. Elements of a scene can constructively interfere, enhancing presence of augmented reality objects; or destructively interfere, suppressing presence of augmented reality objects.

Abstract: Methods and systems of mitigating fraud in location-based transactions are disclosed. At least a location attribute related to a virtual coupon is derived from a digital representation of a real-world scene captured at least in part by a mobile device. At least one virtual coupon is generated based on at least the location attribute, wherein the virtual coupon is related to a purchasable item associated with the real-world scene. A user is enabled to select a target account from a display of the mobile device from a plurality of available on-line user accounts. The transaction is authenticated as a function of the one or more object attributes, including the location attribute, and the user selected target account, and enabled with the target account according to the one or more terms of the virtual coupon and the location attribute.

Abstract: Methods and systems are provided to display a real world event on a client device with avatars. Appropriate parameters for the real world event are provided and participants in the real world event are associated to avatars. As the real world event begins, a server is configured to provide information on the real world event to the client device, and the client device displays a representation of a virtual event using the avatars and the information received from the server.

Abstract: A sensor-based leading indicator management ecosystem is described. Sensor data associated with the individual, possibly within a Personal Area Network (PAN) and related to the healthcare of the individual, is compiled and converted to a one or more sets of leading indicators with respect to one or more possible future healthcare actions. Leading indicators may then be compiled into one or more condition state vectors that represent encoded inputs into one or more trained action prediction agents. The trained action prediction agents then generate, possibly in real-time or based on time-series data, predicted actions that may be required at a predicted point-of-care or a moment-of-care. Further, action prediction agents may be context or domain specific.

Abstract: Authentication tokens, systems, and methods are described. An illustrative method is disclosed to include receiving an electronic file including a digital image, receiving biometric information that is associated with a person, modifying the electronic file with the biometric information such that one or more pixels in the digital image are replaced with the biometric information, and storing the modified electronic file as a digital authentication token to be used in connection with authorized publications of original digital work.

Abstract: A reasoning engine is disclosed. Contemplated reasoning engines acquire data relating to one or more aspects of various environments. Inference engines within the reasoning engines review the acquire data, historical or current, to generate one or more hypotheses about how the aspects of the environments might be correlated, if at all. The reasoning engine can attempt to validate the hypotheses through controlling acquisition of the environment data.

Abstract: A patient having cancer can be treated using coordinated treatment regimens based on at least two omics data sets obtained from a solid tumor and a liquid biopsy that may indicates a plurality of tumor status in the patient's body. The treatment regimens can use various compounds and compositions that drive a tumor from the escape phase of cancer immunoediting to the elimination and equilibrium phase of cancer immunoediting.

Abstract: An example cloud computing burst management system includes a first cloud computing resource including a first processor and a first memory, a second cloud computing resource including a second processor and a second memory, and one or more data networks connecting the first cloud computing resource and the second cloud computing resource. The first cloud computing resource is configured to perform at least one cloud computing task, and to monitor one or more leading indicator parameters associated with operation of the first cloud computing resource while performing the at least one cloud computing task. In response to the one or more leading indicator parameters satisfying a first burst criteria, the first cloud computing resource is configured to provision a task instance on the second cloud computing resource for performing at least one portion of the cloud computing task.

Abstract: Carbon-neutral fuels are produced from aragonite in a solar thermal decomposition process in which the carbon dioxide generated from the aragonite is catalytically converted to methane, ethanol, or Fischer-Tropsch liquids. Advantageously, heat from the aragonite production can be recovered and used in downstream processes to thereby minimize the carbon footprint of the fuel production.

Abstract: Systems and methods of constructing and managing virtual planograms are presented. Contemplated systems allow for construction of a virtual planogram, which can be used to present consumers virtual inventory items as being available for purchase via a display device. The display device can include an electronic billboard within an establishment, a mall for example, or include a user's smart device, a cell phone or tablet for example.

Abstract: Techniques are provided for computing affinity for protein-protein interaction. 3D structure models of the first and second protein parts are generated using a trained first deep learning model. A 3D structure model of a protein-protein complex comprising the first and the second protein parts is generated using a trained second deep learning model. A low energy score state is determined for the 3D structure models of each of the first and second protein parts, and the protein-protein complex. A relax algorithm applied to amino acid side chain and backbone 3D structure models determines a low energy score state for the 3D structure models. Based on the low energy score states, an energy score is generated for the 3D structure models, and a score difference is determined between the energy scores, where the score difference defines a binding affinity score.

Abstract: A computer-based digital notarized ledger management system comprises at least one computer-readable memory storing a primary ledger and software instructions. The system further comprises at least one processor coupled with the memory, the processor performs operations upon software instruction execution. The at least one processor performs instructions to receive a ledger request comprising target ledger parameters, generate in the memory, at least one digital token representing a target ledger based on target ledger parameters, mint according to at least one primary ledger smart contract, the at least one digital token as a set of non-fungible tokens (NFTs) having at least some of the target ledger parameters and representing the target ledger on the primary ledger, instruct at least one computing node to instantiate the target ledger in at least one node memory according to the target ledger parameters, and instruct the at least one node to enable target ledger transactions.

Abstract: A sensor-based leading indicator management ecosystem is described. Sensor data associated with the individual, possibly within a Personal Area Network (PAN) and related to the healthcare of the individual, is compiled and converted to a one or more sets of leading indicators with respect to one or more possible future healthcare actions. Leading indicators may then be compiled into one or more condition state vectors that represent encoded inputs into one or more trained action prediction agents. The trained action prediction agents then generate, possibly in real-time or based on time-series data, predicted actions that may be required at a predicted point-of-care or a moment-of-care. Further, action prediction agents may be context or domain specific.

Abstract: Methods for analyzing omics data and using the omics data to determine prognosis of a cancer, to predict an outcome of a treatment, and/or to determine an effectiveness of a treatment are presented. In preferred methods, blood from a patient having a cancer or suspected to have a cancer is obtained and blood omics data for a plurality of cancer-related, inflammation-related, or DNA repair-related genes are obtained. A cancer score can be calculated based on the omics data, which then can be used to provide a cancer prognosis, a therapeutic recommendation, an effectiveness of a treatment.

Abstract: The present application is directed to methods and compositions that are useful for reducing the number of myeloid-derived suppressor cells (MDSC), tumor associated macrophages (TAM), or both in a subject. The methods include administering an antigen binding protein that binds to an antigen expressed by MDSC and/or TAM, or administering a modified T cell or NK-92 cell that expresses an antigen binding protein that binds to an antigen expressed by MDSC and/or TAM, or a combination of both, to a subject. For example, the antigen binding protein can bind to CD33 expressed by MDSC and/or TAM. The methods and compositions are useful for treating a disease associated with MDSC and/or TAM infiltration into a tissue or tumor.

Abstract: Provided herein are populations of modified NK-92 cells, compositions and kits comprising the cells, and methods of making and using the populations of cells.

Abstract: Healthcare object (HCO) discriminator systems and methods are presented. Systems can obtain a digital representation of a scene via a sensor interface. An HCO discriminator platform analyzes the digital representation to discriminate objects within the scene as being associated with a type of HCO or as being unrelated to a type of HCO. Once the HCO recognition platform determines that a type of HCO is relevant, it instantiates an actual HCO. The HCO can be routed to one or more destinations based on routing rules generated from a template or based on the manner in which the objects in the scene were discriminated.

Abstract: Methods and systems for separating a first metal from a metal-containing feed stream are provided. The method can include applying solar energy, for example, by focusing one or more mirrors in one or more heliostats, to heat a metal-containing feed stream in a heating zone to a first temperature to produce a first vapor including the first metal. The first vapor can be condensed in a condensation zone to produce a first liquid including the first metal, and the first liquid can be collected. The system can include a separation unit include a heating zone in fluid communication with a condensation zone and a means for applying solar energy to heat a metal-containing feed stream disposed in the heating zone.

Abstract: One exemplary aspect relates to normalizing latency in a networking environment to reduce the chances of creating an unfair advantage. While an exemplary aspect will be discussed in relation to a gaming environment, it is to be appreciated that the techniques disclosed herein can be applied to other environments where latency normalization or the ability to maintain latency between various endpoints is desired. For example, other environments include eSporting, on-line betting, fantasy esports, streaming services, etc. Some more specific examples include World of Warcraft®, Overwatch®, H1Z1®, PUBG®, Fortnite®, Realm Royale®, Planet Side 2®, real-time strategy games, slot machines, electronic poker tournaments, etc.

Abstract: A smart mask includes a first material layer, at least one display, a first sensor, and a control module. The first material layer is configured to cover a portion of a face of a person. The at least one display is connected to the first material layer and configured to display images over a mouth of the person. The first sensor is configured to detect movement of the mouth of the person and generate a signal indicative of the movement of the mouth. The control module is configured to receive the signal and display the images on the display based on the movement of the mouth.