Abstract: A cross reality system enables portable devices to access stored maps and efficiently and accurately render virtual content specified in relation to those maps. The system may process images acquired with a portable device to quickly and accurately localize the portable device to the persisted maps by constraining the result of localization based on the estimated direction of gravity of a persisted map and the coordinate frame in which data in a localization request is posed. The system may actively align the data in the localization request with an estimated direction of gravity during the localization processing, and/or a portable device may establish a coordinate frame in which the data in the localization request is posed aligned with an estimated direction of gravity such that the subsequently acquired data for inclusion in a localization request, when posed in that coordinate frame, is passively aligned with the estimated direction of gravity.

Abstract: A device may receive network data, business data, and user configuration data associated with an entity that is a candidate for a private network and may process the business data and the user configuration data, with a classification machine learning model, to determine a network hardware equipment prediction. The device may process the network data and the business data, with a first linear regression machine learning model, to determine a business output prediction and may utilize a second linear regression machine learning model to determine a data consumption prediction based on the network hardware equipment prediction. The device may process the network hardware equipment prediction, the business output prediction, and the data consumption prediction, with a machine learning model, to determine a financial profitability prediction for the private network and may perform one or more actions based on the financial profitability prediction.

Abstract: The present disclosure refers to a process of obtaining a biocrude from biomass, where said process comprises the solvothermal liquefaction of the biomass in the presence of a mixture of solvents, until obtaining a gaseous phase, a solid phase, an aqueous liquid phase and an organic liquid phase comprising the biocrude. Wherein the mixture of solvents comprises between 0.5% w/w to 99.5% w/w of water and at least one solvent; and wherein the solvent is selected from alcohols, ketones, aldehydes, or precursors thereof under the processing conditions. The process described herein allows the use of biomass for the production of renewable fuels, as well as obtaining a biocrude with a yield greater than or equal to 30%, with a calorific value between 20 and 35 MJ/Kg and with a sulfur percentage lower than 1% w/w.

Abstract: The present disclosure refers to a process of obtaining a biocrude from biomass, where said process comprises the solvothermal liquefaction of the biomass in the presence of a mixture of solvents, until obtaining a gaseous phase, a solid phase, an aqueous liquid phase and an organic liquid phase comprising the biocrude. Wherein the mixture of solvents comprises between 0.5% w/w to 99.5% w/w of water and at least one solvent; and wherein the solvent is selected from alcohols, ketones, aldehydes, or precursors thereof under the processing conditions. The process described herein allows the use of biomass for the production of renewable fuels, as well as obtaining a biocrude with a yield greater than or equal to 30%, with a calorific value between 20 and 35 MJ/Kg and with a sulfur percentage lower than 1% w/w.

Abstract: A device may receive network data, business data, and user configuration data associated with an entity that is a candidate for a private network and may process the business data and the user configuration data, with a classification machine learning model, to determine a network hardware equipment prediction. The device may process the network data and the business data, with a first linear regression machine learning model, to determine a business output prediction and may utilize a second linear regression machine learning model to determine a data consumption prediction based on the network hardware equipment prediction. The device may process the network hardware equipment prediction, the business output prediction, and the data consumption prediction, with a machine learning model, to determine a financial profitability prediction for the private network and may perform one or more actions based on the financial profitability prediction.

Abstract: Systems and methods to combine line fault location probabilities. A first and second location probability distribution are received for a location of an line fault along an electrical line based upon at least electrical current measurements reported by a first electrical current monitor at a first location and at least a second electrical current measurements reported by a second electrical current monitor at a second location. The second electrical current measurements being made within a time interval of the first electrical current measurements. A composite location probability distribution is determined for the location of the line fault along the electrical line based on an algorithm processing the first location probability distribution and the second location probability distribution. The composite location probability distribution is provided.

Abstract: Systems and methods to detect Automatic Lateral Switch operations. Power down reports indicating power went down at a subset of reporting power meters during a time duration is received, at a monitoring facility. The plurality of reporting power meters receive power from a lateral power feed receiving power through an Automatic Lateral Switch. A respective power restore report indicating power is restored at the respective reporting power meter is received within a recovery time duration after receiving each respective power down report. Based on receiving the respective power restore report within the recovery time duration, an occurrence of an Automatic Lateral Switch operation which includes operating contacts providing power to the lateral power feed by the contacts opening and remaining reclosed is determined. Based on determining the Automatic Lateral Switch operation, an indication of the Automatic Lateral Switch operation is stored into a database system.

Abstract: Systems and methods to provide composite fault maps. A first event report is received from a system indicating a first set of location probability distributions of a first event. A second event report is received from a second system that is a different type than the first system indicating a second set of location probability distributions of a second event that is different from the first event. Based upon data in the received reports, the first event is determined to be associated with the second event. A composite fault map is determined that includes composite location likelihood values for the first event and the second event, the composite fault map being determined based on assembling the first set of location probability distributions and the second set of location probability distributions. The the composite fault map is provided to a different process.

Abstract: Systems and methods to provide composite fault maps. A first event report is received from a system indicating a first set of location probability distributions of a first event. A second event report is received from a second system that is a different type than the first system indicating a second set of location probability distributions of a second event that is different from the first event. Based upon data in the received reports, the first event is determined to be associated with the second event. A composite fault map is determined that includes composite location likelihood values for the first event and the second event, the composite fault map being determined based on assembling the first set of location probability distributions and the second set of location probability distributions. The the composite fault map is provided to a different process.

Abstract: Systems and methods to determine events that are associated with one another. Reports of a first, second, and third events are received. Based upon data associated with the first and second event, a determination is made that the first event is associated with the second event. Based upon data associated with the first event and the third event, a determination is made that the first event is not associated with the third event. A presentation is created indicating that the first and second events are related to the second event and that the first and third events are not related. The presentation is presented to a different process.

Abstract: Systems and methods to determine events that are associated with one another. Reports of a first, second, and third events are received. Based upon data associated with the first and second event, a determination is made that the first event is associated with the second event. Based upon data associated with the first event and the third event, a determination is made that the first event is not associated with the third event. A presentation is created indicating that the first and second events are related to the second event and that the first and third events are not related. The presentation is presented to a different process.

Abstract: Systems and methods to combine line fault location probabilities. A first and second location probability distribution are received for a location of an line fault along an electrical line based upon at least electrical current measurements reported by a first electrical current monitor at a first location and at least a second electrical current measurements reported by a second electrical current monitor at a second location. The second electrical current measurements being made within a time interval of the first electrical current measurements. A composite location probability distribution is determined for the location of the line fault along the electrical line based on an algorithm processing the first location probability distribution and the second location probability distribution. The composite location probability distribution is provided.

Abstract: A headrest safety system and method of use with a base, a middle strap, an insert, and a back strap. The head safety mechanism can be placed around an existing headrest to add support and comfort for a user and prevent head movement during rest or sleep.

Abstract: An electronic device may have a cavity antenna. The cavity antenna may have a logo-shaped dielectric window. An antenna resonating element for the cavity antenna may be formed from conductive traces on a printed circuit board. An antenna resonating element may be formed from the traces. The antenna resonating element may be mounted on an antenna support structure. A conductive cavity structure for the cavity antenna may have a planar lip that is mounted flush with an interior surface of a conductive housing wall. The cavity structure may have more than one depth. Shallower planar portions of the cavity structure may lie in a plane. The antenna resonating element may be located between the plane of the shallow cavity walls and an external surface of the conductive housing wall.

Abstract: Antennas are provided for electronic devices such as portable computers. An electronic device may have a housing in which an antenna is mounted. The housing may have an antenna window for the antenna. The antenna window may be formed from dielectric or from antenna window slots in a conductive member such as a conductive wall of the electronic device housing. An antenna may have an antenna resonating element that is backed by a conductive antenna cavity. The antenna resonating element may have antenna resonating element slots or may be formed using other antenna configurations such as inverted-F configurations. The antenna cavity may have conductive vertical sidewalls and a conductive rear wall. The antenna cavity walls may be formed from conductive layers on a dielectric antenna support structure.

Abstract: Antennas are provided for electronic devices such as portable computers. An electronic device may have a housing in which an antenna is mounted. The housing may be formed of conductive materials. A dielectric antenna window may be mounted in the housing to allow radio-frequency signals to be transmitted from the antenna and to allow the antenna to receive radio-frequency signals. Near-field radiation limits may be satisfied by reducing transmit power when an external object is detected in the vicinity of the dielectric antenna window and the antenna. A proximity sensor may be used in detecting external objects. A parasitic antenna resonating element may be interposed between the antenna resonating element and the dielectric antenna window to minimize near-field radiation hotspots. The parasitic antenna resonating element may be formed using a capacitor electrode for the proximity sensor. A ferrite layer may be interposed between the parasitic element and the antenna window.

Abstract: An electronic device may have a housing in which an antenna is mounted. An antenna window may be mounted in the housing to allow radio-frequency signals to be transmitted from the antenna and to allow the antenna to receive radio-frequency signals. Near-field radiation limits may be satisfied by reducing transmit power when an external object is detected in the vicinity of the dielectric antenna window and the antenna. A capacitive proximity sensor may be used in detecting external objects in the vicinity of the antenna. The proximity sensor may have conductive layers separated by a dielectric. A capacitance-to-digital converter may be coupled to the proximity sensor by inductors. The capacitive proximity sensor may be interposed between an antenna resonating element and the antenna window. The capacitive proximity sensor may serve as a parasitic antenna resonating element and may be coupled to the housing by a capacitor.

Abstract: Antennas are provided for electronic devices such as portable computers. An electronic device may have a housing in which an antenna is mounted. The housing may be formed of conductive materials. A dielectric antenna window may be mounted in the housing to allow radio-frequency signals to be transmitted from the antenna and to allow the antenna to receive radio-frequency signals. Near-field radiation limits may be satisfied by reducing transmit power when an external object is detected in the vicinity of the dielectric antenna window and the antenna. A proximity sensor may be used in detecting external objects. A parasitic antenna resonating element may be interposed between the antenna resonating element and the dielectric antenna window to minimize near-field radiation hotspots. The parasitic antenna resonating element may be formed using a capacitor electrode for the proximity sensor. A ferrite layer may be interposed between the parasitic element and the antenna window.

Abstract: A stable pharmaceutical composition of a didemnin compound, comprises firstly a lyophilized didemnin preparation including water-soluble material and secondly a reconstitution solution of mixed solvents.

Abstract: Logo antennas are provided for electronic devices such as portable computers. An electronic device may have a housing with conductive housing walls. A logo antenna may be formed from an antenna resonating element such as a patch antenna resonating element, a monopole antenna resonating element, or other antenna resonating element structure. A conductive cavity may be placed behind the antenna resonating element. A dielectric antenna window that serves as a logo may be used to cover the antenna resonating element. The dielectric antenna window may be mounted in an opening in the conductive housing walls. A positive antenna feed terminal may be coupled to the antenna resonating element. A ground antenna feed terminal may be coupled to the cavity and portions of the conductive housing walls. The dielectric antenna window may be shaped in the form of a logo.