Abstract: Disclosed are systems, apparatuses, methods, and computer readable medium for a climate risk assessment system. A disclosed climate risk assessment system can include a machine learning (ML) model or other neural network that is capable of understanding unstructured data to build loss models that can estimate effects of climate change and risks associated with building based on the effects of climate change. A method of the climate risk assessment system includes: receiving an unstructured document; identifying a property associated with the document based on geographical information extracted from the unstructured document; identifying at least one modified building property associated the unstructured document; updating a data structure corresponding to the building to include the at least one modified building property; and updating a loss model associated with the property based on the data structure.

Abstract: A device may obtain data associated with an event and process the data via an evacuation prediction and management engine to obtain an evacuation prediction. When the evacuation prediction indicates that an evacuation order is likely to be issued within a period of time based on the event occurring, the device transmits, via the evacuation prediction and management engine, an evacuation service offering to a user device. Upon a user of the user device confirming acceptance of the evacuation service offering, the device receives a payment for the user for the evacuation service offering. When the event or evacuation order occurs and based on the payment for the evacuation service offering, the device automatically initiates a payment to a user account.

Abstract: Implementations described herein provide systems and methods for mitigating climate risk. In one implementation, a risk factor is determined based on one or more predictive climate models. The risk factor is applied to a specific home, and an effect of the risk factor on the specific home is determined over a period of time. A mitigating action personalized to the specific home based on the risk factor is performed.

Abstract: Implementations described herein provide systems and methods for mitigating climate risk. In one implementation, an environmental forecast factor is determined based on one or more predictive climate models. The environmental forecast factor can be, for example, an environmental condition applied to a specific home. A severity of the environmental forecast factor on the specific home can be determined over a period of time. A financial instrument can be created that invests in an asset that is inversely related to the environmental forecast factor over the period of time, where the financial instrument is predicted to appreciate in value to at least the severity of the environmental forecast factor.

Abstract: “The present disclosure provides methods and systems for sequencing proteins. One or more methods disclosed herein may use linkers having an amino acid-reactive group and an additional reactive moiety that may be used to couple a polymerizable molecule. The linker may couple to a polymerizable molecule and an amino acid of a peptide and a capture moiety via the polymerizable molecule, followed by cleavage of the amino acid from the peptide. Further processing and analysis may be conducted using, for example, nanopores or nanogaps.

Abstract: The present disclosure provides methods and systems for sequencing proteins. One or more methods disclosed herein may use linkers having an amino acid-reactive group and an additional reactive moiety that may be used to couple a polymerizable molecule. The linker may couple to a polymerizable molecule and an amino acid of a peptide and a capture moiety via the polymerizable molecule, followed by cleavage of the amino acid from the peptide. Further processing and analysis may be conducted using, for example, nanopores or nanogaps.

Abstract: An exemplary method for monitoring a package on a conveyor may include emitting a plurality of infrared beams, detecting one or more of the emitted infrared beams, calculating a package height using the detected infrared beams, determining whether the package height exceeds a predetermined threshold, and when the package height meets or exceeds the predetermined threshold, sending a signal indicating a height of the package exceeds the predetermined threshold. A package size detector may include a transmitter including a plurality of light sources and positioned on a first side of a conveyor, and a receiver positioned on a second, opposite side of the conveyor, including a plurality of light sensors, each of the plurality of light sensors being configured to detect light emitted from the plurality of light sources. A controller may be configured to determine whether a package height exceeds a predetermined threshold.

Abstract: Provided herein are compositions comprising multi domain peptide (MDP) hydrogels where the peptides that constitute the hydrogel have at least one N6-(1-iminoethyl)-lysine side chain. Also provided are hydrogels that further comprise a STING agonist, an immune checkpoint inhibitor, and/or an anti-cancer therapy. Also provided are methods of using such compositions in the treatment of cancer.

Abstract: A balloon system for balloon aortic valvuloplasty includes a delivery catheter, an outer expandable member coupled to the delivery catheter, and an inner balloon disposed within the outer expandable member. The outer expandable member has a first length, and a preset hourglass shape defined by first and second bulbous portions separated by a waist region. The inner balloon is non-compliant and has a second length shorter than the first length.

Abstract: Among the various aspects of the present disclosure is the provision of a ddPCR-based method of detecting oncogenic fusions, and its use in screening and monitoring a cancer treatment is disclosed. A method for detecting oncogenic fusions involving the histone-lysine N-methyltransferase 2A (KMT2A) gene is described.

Abstract: A fuel injector for gaseous fuel is provided. The fuel injector includes at least one valve having a valve seat and a plunger that engages the seat to prevent gaseous fuel flow and is displaced from the seat to permit gaseous fuel flow. Displacement of the plunger away from the seat to open the at least one valve is resisted by a first plunger control mechanism and then a second plunger control mechanism depending on the distance the plunger is lifted from the seat.

Abstract: A transport vehicle, such as a vision guided vehicle, can comprise a drive portion constructed to facilitate movement of the transport vehicle and a load portion constructed to engage an object of interest. The load portion can comprise an object engagement apparatus and at least one sensor coupled to or disposed within a distal end of the object engagement apparatus, wherein the sensor can be at least a 2D sensor. The engagement apparatus can comprise forks, at least one fork having sensor coupled to or disposed within a fork tip. The 2D sensor can comprise a scanning LIDAR sensor arranged to collect information to identify a pickable pallet, for example.

Abstract: Gaze tracking data representing a user's gaze is analyzed to determine one or more regions of interest. One or more gaze tracking parameters are determined from the gaze tracking data. Adjusted foveation data is determined representing an adjusted size and/or shape of one or more regions of interest in one or more images to be subsequently presented to the user based on the one or more gaze tracking parameters. The compression of the one or more transmitted images is adjusted so that fewer bits are needed to transmit data for portions of an image outside the one or more regions of interest than for portions of the image within the one or more regions of interest. Adjusting compression of the transmitted image(s) includes decreasing a size of the foveal region for a subset of the one or more images that are presented to the user during the saccade or blink.

Abstract: A thermal storage subsystem may include at least a first storage reservoir configured to contain a thermal storage liquid at a storage pressure that is greater than atmospheric pressure. A liquid passage may have an inlet connectable to a thermal storage liquid source and configured to convey the thermal storage liquid to the liquid reservoir. A first heat exchanger may be provided in the liquid inlet passage and may be in fluid communication between the first compression stage and the accumulator, whereby thermal energy can be transferred from a compressed gas stream exiting a gas compressor/expander subsystem to the thermal storage liquid.

Abstract: A compressed gas energy storage system may include an accumulator for containing a layer of compressed gas atop a layer of liquid. A gas conduit may have an upper end in communication with a gas compressor/expander subsystem and a lower end in communication with accumulator interior for conveying compressed gas into the compressed gas layer of the accumulator when in use. A shaft may have an interior for containing a quantity of a liquid and may be fluidly connectable to a liquid source/sink via a liquid supply conduit. A partition may cover may separate the accumulator interior from the shaft interior. An internal accumulator force may act on the inner surface of the partition and the liquid within the shaft may exert an external counter force on the outer surface of the partition, whereby a net force acting on the partition is less than the accumulator force.

Abstract: A method including capturing a deformed gesture performed by a communicator, wherein the deformed gesture corresponds to a defined gesture that is intended by the communicator. The method including providing the deformed gesture that is captured to an artificial intelligence (AI) model configured to classify a predicted gesture corresponding to deformed gesture. The method including performing an action based on the predicted gesture. The method including capturing at least one multimodal cue to verify the predicted gesture. The method including determining that the predicted gesture is incorrect based on the at least one multimodal cue. The method including providing feedback to the AI model indicating that the predicted gesture is incorrect for training and updating the AI model. The method including classifying an updated predicted gesture corresponding to the deformed gesture using the AI model that is updated.

Abstract: A method for updating information for a graphics pipeline including executing in the first frame period an application on a CPU to generate primitives of a scene for a first video frame. Gaze tracking information is received in a second frame period for an eye of a user. In the second frame period a landing point on an HMD display is predicted at the CPU based at least on the gaze tracking information. A late update of the predicted landing point to a buffer accessible by the GPU is performed in the second frame period. Shader operations are performed in the GPU in the second frame period to generate pixel data based on the primitives and based on the predicted landing point, wherein the pixel data is stored into a frame buffer. The pixel data is scanned out in the third frame period from the frame buffer to the HMD.

Abstract: Provided herein are compositions comprising a non-naturally occurring DNA binding protein that modulates expression of an endogenous gene. Provided herein are methods of use thereof of the compositions which comprise a non-naturally occurring DNA binding protein that modulates expression of an endogenous gene.

Abstract: Provided herein are compositions and methods for driving high expression of a transgene. Compositions and methods for driving high expression of a transgene comprising one or more human-derived regulatory elements, which, when operably linked to a transgene, can result in high expression of the transgene in one or more cell types or tissues.