Abstract: Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.

Abstract: Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.

Abstract: A strut for an aircraft landing gear is provided. The strut includes a casing configured to absorb landing forces applied to the aircraft landing gear. The casing includes a cavity in which an energy accumulator is housed. The energy accumulator can be a removable cartridge which can be inserted in the cavity. An aircraft landing gear comprising such a strut is also provided. An aircraft comprising at least one such landing gear having such a strut is also provided. A method for emergency deployment of such a landing gear, using energy stored in the energy accumulator integrated in the strut of the landing gear to deploy the landing gear is also provided.

Abstract: Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.

Abstract: Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving home data for a property; (2) receiving a user proposal to improve a home score factors of one or more home score factors; (3) determining one or more updated home score factors, wherein the determining includes: (i) analyzing the home data for the property to determine home characteristic data for the property, (ii) analyzing the home characteristic data for the property and the user proposal to determine predicted home characteristic data for the property, (iii) weighting the predicted home characteristic data using at least the identification data to generate weighted home characteristic data, and (iv) determining the one or more updated home score factors; and (4) generating an updated proposal based on the weighted home characteristic data and the user proposal.

Abstract: Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.

Abstract: Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving home data for a property; (2) determining, based upon the home data for the property, one or more home score factors, wherein the determining may include: (i) analyzing, using a trained machine learning data evaluation model, the home data for the property to determine home characteristic data for the property, (ii) analyzing, using the trained machine learning data evaluation model, the home data for the property to determine a likelihood of loss associated with the property, and (iii) determining, based upon the home characteristic data for the property and the likelihood of loss associated with the property; and (3) generating, based upon the one or more home score factors, a home score for the property.

Abstract: A strut for an aircraft landing gear is provided. The strut includes a casing configured to absorb landing forces applied to the aircraft landing gear. The casing includes a cavity in which an energy accumulator is housed. The energy accumulator can be a removable cartridge which can be inserted in the cavity. An aircraft landing gear comprising such a strut is also provided. An aircraft comprising at least one such landing gear having such a strut is also provided. A method for emergency deployment of such a landing gear, using energy stored in the energy accumulator integrated in the strut of the landing gear to deploy the landing gear is also provided.

Abstract: Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving home data for a property; (2) determining, based upon the home data for the property, one or more home score factors, wherein the determining may include: (i) analyzing, using a trained machine learning data evaluation model, the home data for the property to determine home characteristic data for the property, (ii) analyzing, using the trained machine learning data evaluation model, the home data for the property to determine a likelihood of loss associated with the property, and (iii) determining, based upon the home characteristic data for the property and the likelihood of loss associated with the property; and (3) generating, based upon the one or more home score factors, a home score for the property.

Abstract: Provided herein are systems and methods for electrochemical COx reduction and hydrogen oxidation reactions to promote the reduction of carbon oxides (COx). Embodiments of the systems and methods may be used to produce carbon monoxide (CO) and water. In various embodiments, a reaction between carbon dioxide (CO2) and hydrogen gas (H2) occurs at the anode of a CO2 reduction electrolyzer, promoting the production of reduction products (e.g., CO). In some embodiments, the methods may utilize a feed stream of H2 gas from various sources. In some embodiments, a water electrolyzer upstream of the COx reduction electrolyzer is a source of H2 gas. In some embodiments, the systems and methods include downstream integration processes and related apparatus. In some embodiments, the downstream integration processes include Fischer-Tropsch processes.

Abstract: Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.

Abstract: An aircraft wheel and brake assembly includes a wheel, a brake configured to brake the wheel, and a measurement device configured to measure the speed of rotation of the wheel. The brake includes at least one friction member, an actuator support, and at least one brake actuator carried by the actuator support and configured to exert a braking force selectively on the friction member. The measurement device includes a target and a sensing component for producing a measurement signal representative of the speed of rotation of the target. The aircraft wheel and brake assembly is configured in such a manner that, when assembled, the target is constrained to rotate with the wheel and the sensing component is mounted on the actuator support. The target and the sensing component is configured in such a manner that the sensing component detects rotation of the target.

Abstract: Carbon oxide electrolyzers may be characterized by: (a) a membrane electrode assembly (MEA) comprising a cathode layer, an anode layer, and one or more polymeric electrolyte layers between and in contact with the cathode layer and the anode layer; (b) a porous transport layer (PTL) proximate the anode layer, and (c) optionally, a microporous layer (MPL) disposed between the MEA and the PTL.

Abstract: Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.

Abstract: A sub-assembly for an electrochemical stack, such as a PEM fuel cell stack, has a bipolar plate with sealing material extending from its upper face, around the edge of the bipolar plate, and onto its lower face. The bipolar plate is preferably a combination of an anode plate and a cathode plate defining an internal coolant flow field and bonded together by sealing material which also provides a seal around the coolant flow field. All of the sealing material in the sub-assembly may be one contiguous mass. To make the sub-assembly, anode and cathode plates are loaded into a mold. Liquid sealing material is injected into the mold and fills a gap between the edge of the plates, and portions of the outer faces of the plates, and the mold. In a stack, sub-assemblies are separated by MEAs which at least partially overlap the sealing material on their faces.

Abstract: Systems and methods are described for evaluating and gamifying maintenance for a property by a user. The method may include: (1) retrieving first home data for a first property and second home data for a second property, wherein a user is associated with the first property; (2) calculating, using a trained machine learning evaluation model, one or more second home score factors based upon the second home data; (3) detecting that the user is to be associated with the second property; (4) detecting, based upon the first home data and the second home data, one or more local environmental differences between the first property and the second property; and (5) generating a learning module for the user for improving or maintaining the one or more second home score factors based upon the one or more local environmental differences.

Abstract: Systems and methods are described for evaluating and gamifying maintenance for a property by a user. The method may include: (1) retrieving training data captured by one or more sensors associated with one or more properties or one or more users; (2) retrieving at least one of home data for a property or user data for a user; (3) determining, using a machine learning model, home score factors based upon at least one of the home data or the user data, wherein the machine learning model is trained with the training data; (4) generating, based upon the home score factors, a home score for the property; (5) determining, based upon at least one of the home data or the user data, difference factors between the property and a previous property associated with the user; and (6) causing a user device to display the home score and difference factors.

Abstract: Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.

Abstract: The invention relates to a device for braking a wheel, the device comprising: a brake including at least a first actuator and a second actuator arranged to apply a braking torque to the wheel; a control system arranged to control the first and second actuators individually as a function of a required braking value; and at least a first breaking torque sensor arranged to supply the control unit with a first measurement of the braking torque applied to the wheel by the brake. According to the invention, the control system is arranged to interrupt control of the first actuator or control of the second actuator in the event of the braking torque measured by the first sensor exceeding a predetermined braking torque limit.

Abstract: Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.