Abstract: In one or more embodiments, a disclosed method for cooling a vehicle involves routing, by a bypass line, boil-off of a cryogenic fuel of the vehicle past a cold plate to cool a subsystem mounted proximate the cold plate. The method further involves purging the boil-off in a direction away from the vehicle, after the boil-off passes the cold plate. In one or more embodiments, the cryogenic fuel involves liquid hydrogen (LH2), liquid oxygen (LO2), and/or liquid methane (LCH4). In at least one embodiment, the boil-off of the cryogenic fuel involves gaseous hydrogen (GH2), gaseous oxygen (GO2), and/or gaseous methane (GCH4). The vehicle is a space vehicle, an airborne vehicle, a terrestrial vehicle, or a marine vehicle. In at least one embodiment, the vehicle is a fuel cell vehicle (FCV).

Abstract: The present disclosure provides recombinant adeno-associated virus (AAV) virions with altered capsid protein, where the recombinant AAV (rAAV) virions exhibit greater ability to cross barriers between intravitreal fluid and retinal cells, and thus greater infectivity of a retinal cell compared to wild-type AAV, and where the rAAV virions comprise a heterologous nucleic acid. The present disclosure provides methods of delivering a gene product to a retinal cell in an individual.

Abstract: Systems and methods include an image capture component configured to capture infrared images of a scene, and a logic device configured to identify a target in the images, acquire temperature data associated with the target based on the images, evaluate the temperature data and determine a corresponding temperature classification, and process the identified target in accordance with the temperature classification. The logic device identifies a person and tracks the person across a subset of the images, identify a measurement location for the target in a subset of the images based on target feature points identified by a neural network, and measure a temperature of the location using corresponding values from one or more captured thermal images. The logic device is further configured calculate a core body temperature of the target using the temperature data to determine whether the target has a fever and calibrate using one or more black bodies.

Abstract: An adjustable tracheostoma valve includes a housing having a first opening that is adapted to open to a tracheostoma and a second opening that opens to ambient. The housing includes a lower housing portion defining the first opening and an upper housing portion movably attached to the lower housing portion and defining the second opening. A closure member is disposed in the housing and adapted to close the second opening. A flexible membrane includes a first region connected to the closure member and a plurality of spiral shaped legs extending from the first region and connected to the housing. The upper and lower housings are axially adjustable relative to one another to adjust an amount of air flow through the valve that would cause closure of the closure member. A heat and moisture exchanger is disposed in the housing between the first opening and the second opening.

Abstract: Improved systems and methods for automated machine-learning, zero-day malware detection. Embodiments include a system and method for detecting malware using multi-stage file-typing and, optionally pre-processing, with fall-through options.

Abstract: Improved systems and methods for automated machine-learning, zero-day malware detection. Embodiments include a system and method for detecting malware using multi-stage file-typing and, optionally pre-processing, with fall-through options.

Abstract: An adjustable tracheostoma valve includes a housing having a first opening that is adapted to open to a tracheostoma and a second opening that opens to ambient. The housing includes a lower housing portion defining the first opening and an upper housing portion movably attached to the lower housing portion and defining the second opening. A closure member is disposed in the housing and adapted to close the second opening. A flexible membrane includes a first region connected to the closure member and a plurality of spiral shaped legs extending from the first region and connected to the housing. The upper and lower housings are axially adjustable relative to one another to adjust an amount of air flow through the valve that would cause closure of the closure member. A heat and moisture exchanger is disposed in the housing between the first opening and the second opening.

Abstract: An adjustable base plate for use with a tracheotomy stoma includes a flexible membrane and a base component having an accessory mounting portion disposed in a center of the flexible membrane and adapted to mount a tracheostoma accessory. The base plate defines a conically shaped region formed by a plurality of conforming members extending radially from the accessory mounting portion that are laterally spaced from one another and connected to one another by a plurality of web portions formed by the flexible membrane. An adhesive material is applied to the flexible membrane.

Abstract: An adjustable base plate for use with a tracheotomy stoma includes a flexible membrane and a base component having an accessory mounting portion disposed in a center of the flexible membrane and adapted to mount a tracheostoma accessory. The base plate defines a conically shaped region formed by a plurality of conforming members extending radially from the accessory mounting portion that are laterally spaced from one another and connected to one another by a plurality of web portions formed by the flexible membrane. An adhesive material is applied to the flexible membrane.

Abstract: A computer-implemented method for configuring an operating system to associate a peripheral is described. The method includes loading the operating system on a client computer based on an operating system image, determining an identifier of the client computer, retrieving peripheral information to identify a peripheral associated with the client computer, and writing a configuration setting of the client computer to a storage medium of the client computer based on the peripheral information. The identifier identifies the client computer. The peripheral information is associated with the client computer based on an association between the peripheral information and the identifier.

Abstract: Improved systems and methods for automated machine-learning, zero-day malware detection. Embodiments include a method for improved zero-day malware detection that receives a set of training files which are each known to be either malign or benign, partitions the set of training files into a plurality of categories, and trains category-specific classifiers that distinguish between malign and benign files in a category of files. The training may include selecting one of the plurality of categories of training files, identifying features present in the training files in the selected category of training files, evaluating the identified features to determine the identified features most effective at distinguishing between malign and benign files, and building a category-specific classifier based on the evaluated features. Embodiments also include by a system and computer-readable medium with instructions for executing the above method.

Abstract: Improved systems and methods for automated machine-learning, zero-day malware detection. Embodiments include a method for improved zero-day malware detection that receives a set of training files which are each known to be either malign or benign, partitions the set of training files into a plurality of categories, and trains category-specific classifiers that distinguish between malign and benign files in a category of files. The training may include selecting one of the plurality of categories of training files, identifying features present in the training files in the selected category of training files, evaluating the identified features to determine the identified features most effective at distinguishing between malign and benign files, and building a category-specific classifier based on the evaluated features. Embodiments also include by a system and computer-readable medium with instructions for executing the above method.

Abstract: Improved systems and methods for automated machine-learning, zero-day malware detection. Embodiments include a method for improved zero-day malware detection that receives a set of training files which are each known to be either malign or benign, partitions the set of training files into a plurality of categories, and trains category-specific classifiers that distinguish between malign and benign files in a category of files. The training may include selecting one of the plurality of categories of training files, identifying features present in the training files in the selected category of training files, evaluating the identified features to determine the identified features most effective at distinguishing between malign and benign files, and building a category-specific classifier based on the evaluated features. Embodiments also include by a system and computer-readable medium with instructions for executing the above method.

Abstract: Improved systems and methods for automated machine-learning, zero-day malware detection. Embodiments include a method for improved zero-day malware detection that receives a set of training files which are each known to be either malign or benign, partitions the set of training files into a plurality of categories, and trains category-specific classifiers that distinguish between malign and benign files in a category of files. The training may include selecting one of the plurality of categories of training files, identifying features present in the training files in the selected category of training files, evaluating the identified features to determine the identified features most effective at distinguishing between malign and benign files, and building a category-specific classifier based on the evaluated features. Embodiments also include by a system and computer-readable medium with instructions for executing the above method.

Abstract: Multicolor thermal imaging members are described that comprise color-forming layers that are separated by thermally-insulating layers and can be addressed with a thermal printing head in contact with a surface to form an image. The thermally-insulating layers are designed to be as thin as possible consistent with at least partially independent addressing of the color-forming layers, and are formulated so as not to lead to instabilities either before or after printing or to give rise to dimensional changes of a thermal imaging member when it is subjected to changes in temperature or humidity. Coating compositions for manufacturing such thermally-insulating layers are also provided.

Abstract: Multicolor thermal imaging members are described that comprise color-forming layers that are separated by thermally-insulating layers and can be addressed with a thermal printing head in contact with a surface to form an image. The thermally-insulating layers are designed to be as thin as possible consistent with at least partially independent addressing of the color-forming layers, and are formulated so as not to lead to instabilities either before or after printing or to give rise to dimensional changes of a thermal imaging member when it is subjected to changes in temperature or humidity. Coating compositions for manufacturing such thermally-insulating layers are also provided.

Abstract: Multicolor thermal imaging members are described that comprise color-forming layers that are separated by thermally-insulating layers and can be addressed with a thermal printing head in contact with a surface to form an image. The thermally-insulating layers are designed to be as thin as possible consistent with at least partially independent addressing of the color-forming layers, and are formulated so as not to lead to instabilities either before or after printing or to give rise to dimensional changes of a thermal imaging member when it is subjected to changes in temperature or humidity. Coating compositions for manufacturing such thermally-insulating layers are also provided.

Abstract: A computer-implemented method for configuring an operating system to associate a peripheral is described. The method includes loading the operating system on a client computer based on an operating system image, determining an identifier of the client computer, retrieving peripheral information to identify a peripheral associated with the client computer, and writing a configuration setting of the client computer to a storage medium of the client computer based on the peripheral information. The identifier identifies the client computer. The peripheral information is associated with the client computer based on an association between the peripheral information and the identifier.

Abstract: Multicolor thermal imaging members are described that comprise color-forming layers that are separated by thermally-insulating layers and can be addressed with a thermal printing head in contact with a surface to form an image. The thermally-insulating layers are designed to be as thin as possible consistent with at least partially independent addressing of the color-forming layers, and are formulated so as not to lead to instabilities either before or after printing or to give rise to dimensional changes of a thermal imaging member when it is subjected to changes in temperature or humidity. Coating compositions for manufacturing such thermally-insulating layers are also provided.