Abstract: Streaming content using a data streaming device having limited power is described. A data streaming device receives streaming content from a network and provides the streaming content for display on a content display device. Data streaming device includes power supplies that receive power from the content display device. The power supplies use the power to operate components of data streaming device that process the streaming content. A measuring module measures the power provided to the data streaming device. When the power is insufficient, a controller generates an indication that there is insufficient power to operate the components of the data streaming device. The controller may also modify functionality of the components to operate using available power or disable a component of the data streaming device.

Abstract: Data distribution and analysis systems, and associated methods are described herein. In one aspect, a method for distributing data can include: receiving, by a computing service and from a medical data server, medical image data stored by the PACS; inputting the medical image data into a machine learning model hosted by the computing service, wherein the computing service allows users to upload machine learning models and configure corresponding machine learning models to interface with the medical data server; generating, by the machine learning model, additional biometric data corresponding to the medical image data; and sending the additional biometric data to the medical data server, wherein the additional biometric data and the medical image data is incorporated into an electronic health record (EHR).

Abstract: A cooking system includes a housing defining a hollow chamber configured to receive food. The housing has an upper portion defining an opening to said hollow chamber. A lid is movable relative to the housing between an open position and a closed position. The lid seals the opening to the hollow chamber when in the closed position. A portion of the lid is selectively positionable to form a pressure-tight heating volume between the hollow chamber and the portion of said lid. At least one heating element is associated with at least one of the housing and the lid. The at least one heating element is arranged within the pressure-tight heating volume.

Abstract: Generally described, one or more aspects of the present application relate to improving the process of generating and deploying software applications in a network environment, particularly software applications that incorporate or rely upon machine learning models. More specifically, the present disclosure provides specific user interface features and associated computer-implemented features that may effectively, from a user's perspective, remove most of the complexities associated with writing and deploying code and developing and improving machine learning models. For example, the present disclosure may provide user-friendly visual building blocks that allow users to build and customize machine learning workflows that can then be turned into a full software application and optimized and deployed at target destinations of the users' choice.

Abstract: The present relates to VEGF traps and VEGF mini-traps that include VEGF receptor Ig-like domains, fused to a multimerizing component, which bind to VEGF and block its interaction with the VEGF receptor. Such molecules are useful for treating angiogenic eye disorders (e.g., age-related macular degeneration), cancer and for other undesired angiogenesis.

Abstract: The disclosed technology teaches testing an autonomous vehicle: shielding a GNSS receiving antenna of the vehicle from ambient GNSS signals while the vehicle is under test and supplanting the ambient GNSS signals with simulated GNSS signals. Testing includes using a GNSS signal generating system: receiving the ambient GNSS signals using an antenna of the system and determining a location and acceleration of the vehicle from the GNSS signals, accessing a model of an augmented environment that includes multi-pathing and obscuration of the GNSS signals along a test path, based on the determined location—generating the simulated GNSS signals to feed to the vehicle, in real time—simulating at least one constellation of GNSS satellite sources modified according to the augmented environment, based on the determined location, and feeding the simulated signals to a receiver in the vehicle, thereby supplanting ambient GNSS as the autonomous vehicle travels along the test path.

Abstract: Provided are omecamtiv mecarbil dihydrochloride salt forms, compositions and pharmaceutical formulations thereof, and methods for their preparation and use.

Abstract: Provided are omecamtiv mecarbil dihydrochloride salt forms, compositions and pharmaceutical formulations thereof, and methods for their preparation and use.

Abstract: Provided herein are methods of employing pharmacodynamics regimens to maximize effectiveness of voclosporin in treatment of proteinuric kidney diseases while minimizing undesirable side effects, such as but not limited to calcineurin inhibitor nephrotoxicity. Also provided are methods of assessments of renal functions and/or conditions, and corresponding protocols to modify, stop, restore and/or re-initiate voclosporin dosing and administrations to maximize effectiveness of voclosporin in treatment of proteinuric kidney diseases while minimizing undesirable side effects.

Abstract: The invention relates to generation and use of cellular and humoral responses for the prevention and treatment of P. gingivalis related conditions and diseases.

Abstract: Presented herein are systems, methods and apparatuses for increasing reliability of face recognition in analysis of images captured by drone mounted imaging sensors, comprising: recognizing a target person in one or more iterations, each iteration comprising: identifying one or more positioning properties of the target person based on analysis of image(s) captured by imaging sensor(s) mounted on a drone operated to approach the target person, instructing the drone to adjust its position to an optimal facial image capturing position selected based on the positioning property(s), receiving facial image(s) of the target person captured by the imaging sensor(s), receiving a face classification associated with a probability score from machine learning model(s) trained to recognize the target person, and initiating another iteration in case the probability score does not exceed a certain threshold. Finally, the face classification may be outputted for use by one or more face recognition based systems.

Abstract: In one embodiment, the disclosed apparatus is a heat-pipe cooling system that includes a conical structure having an upper portion that is configured to be formed above a dielectric window with the conical structure being configured to condense vapor from a heat-transfer fluid placed or incorporated within a volume formed between the dielectric window and the conical structure. At least one cooling coil is formed on an exterior portion of the conical structure. Other apparatuses and systems are disclosed.

Abstract: Generally described, one or more aspects of the present application relate to improving the process of generating and deploying software applications in a network environment, particularly software applications that incorporate or rely upon machine learning models. More specifically, the present disclosure provides specific user interface features and associated computer-implemented features that may effectively, from a user's perspective, remove most of the complexities associated with writing and deploying code and developing and improving machine learning models. For example, the present disclosure may provide user-friendly visual building blocks that allow users to build and customize machine learning workflows that can then be turned into a full software application and optimized and deployed at target destinations of the users' choice.

Abstract: In one embodiment, the disclosed apparatus is a heat-pipe cooling system that includes a conical structure having an upper portion that is truncated. The conical structure is configured to be formed above a dielectric window with the conical structure being configured to condense vapor from a heat-transfer fluid placed or formed within a volume formed between the dielectric window and the conical structure. At least one cooling coil is formed on an exterior portion of the conical structure. Other apparatuses and systems are disclosed.

Abstract: A temperature control system comprises an enclosure having an intake aperture and an exhaust aperture. An air amplifier disposed inside the enclosure. A gas supply line is connected to the air amplifier through the intake aperture. The gas supply line supplies a first flow of gas to the air amplifier. The air amplifier amplifies the first flow of gas to a second flow of gas inside the enclosure. The second flow of gas exits through the exhaust aperture.

Abstract: Disclosed are P. gingivalis antibodies raised against a chimeric or fusion protein, wherein the chimeric or fusion protein comprises a first peptide joined directly or through a linker to a second peptide or polypeptide, wherein (A) the first peptide comprises a region of a P. gingivalis trypsin-like enzyme and (B) the second peptide or polypeptide comprises an adhesin domain of P. gingivalis.

Abstract: Generally described, one or more aspects of the present application relate to improving the process of generating and deploying software applications in a network environment, particularly software applications that incorporate or rely upon machine learning models. More specifically, the present disclosure provides specific user interface features and associated computer-implemented features that may effectively, from a user's perspective, remove most of the complexities associated with writing and deploying code and developing and improving machine learning models. For example, the present disclosure may provide user-friendly visual building blocks that allow users to build and customize machine learning workflows that can then be turned into a full software application and optimized and deployed at target destinations of the users' choice.

Abstract: An antimicrobial agent comprising a selenium nanoparticle (SeNP) core and one or more superficially located antimicrobial peptide/s (AMP). The or each AMP may comprise an excess of positively charged amino acids compared to negatively charged amino acids and the AMP may comprise peptides from classes selected from polylysine, such as ?-poly-L-lysine (?-PL), polyarginine, aurein, ovispirin, melittin, magainin, cecropin, andropin, moricin, ceratotoxin, melittin, magainin, dermaseptin, bombinin, brevinin, esculentins, buforin, cathelicidin, abaecin, apidaecin, prophenin and indolicidin. Products comprising such agents, methods of producing the agents and methods of killing or retarding growth of microorganisms exposed to the agents are also disclosed.

Abstract: An analyte sensor applicator for applying a wearable analyte monitoring device includes a housing that holds an analyte sensor assembly, a cam assembly for delivering the analyte sensor assembly, and a skin piercing for inserting a sensor, wherein the skin piercing device is retracted within the housing top after insertion.

Abstract: Provided herein are systems and methods for applying adaptive classes thresholds to enhance object detection Machine Learning (ML) models by receiving a plurality of labeled feature vectors extracted from a plurality of images associated with a plurality of objects, one or more subsets of the plurality of feature vectors are associated with respective object(s) and labeled accordingly, computing an adaptive threshold for each object in a plurality of iterations, each iteration comprising: (1) computing deviation of a respective feature vector of the subset from an aggregated feature vector, (2) computing, in case the deviation is within a predefined value, a threshold enclosing the respective feature vector, and (3) adjusting the adaptive threshold to enclose the threshold of the respective feature vector and outputting the adaptive threshold(s) for classifying unlabeled feature vectors to class(s) of respective object(s) associated with the adaptive threshold(s) in which the unlabeled feature vectors fall.