Abstract: This invention relates to novel whitening agents for cellulosic substrates. The whitening agents are comprised of at least two components: at least one chromophore component and at least one polymeric component. Suitable chromophore components generally fluoresce blue, red, violet, or purple color when exposed to ultraviolet light, or they may absorb light to reflect these same shades. The whitening agents are further characterized by having a dispersion component value of the Hansen Solubility Parameter of less than or equal to about 17 MPa0.5. This invention also relates to laundry care compositions including but not limited to liquid and/or powder laundry detergent formulations and rinse added fabric softening (RAFS) compositions that comprise such whitening agents.

Abstract: An system and/or method for detecting outliers in satellite observations can include: receiving satellite observations associated with one or more satellite constellations; receiving sensor data; determining a GNSS positioning solution using a filter to process the satellite observations; determining a fused positioning solution; detecting whether outliers are present in the satellite observations; and when outliers are detected, updating the GNSS positioning solution and/or the fused positioning solution using a set of outlier mitigated satellite observations.

Abstract: A system can include (and/or receive data from) one or more data sources (e.g., satellites, reference stations, etc.), a computing system (e.g., a corrections generator thereof), a GNSS receiver, one or more sensors, and/or any suitable component(s). A method can include receiving satellite observations at a first signal frequency, determining GNSS corrections for a second signal frequency, determining a GNSS receiver position based on the GNSS corrections, and/or any suitable step(s).

Abstract: A laser protection variable transmission optical device (“LP-VTOD”) includes first and second cells, each capable of changing from a state of higher light transmittance to a state of lower light transmittance. The first cell is characterized by a narrow band absorption having a first peak absorption wavelength and a first FWHM of 175 nm or less, and the second cell is characterized by a narrow band absorption having a second peak absorption wavelength and a second FWHM of 175 nm or less. The first peak absorption wavelength may be the same or different than the second peak absorption wavelength. The LP-VTOD is capable of switching from a clear state to a darkened state having a darkened state transmittance % TDS-P that is equal to or less than 10% for at least one of the first or second peak absorption wavelengths.

Abstract: A method can include receiving a set of satellite signals, refining the set of satellite signals to generate a refined set of satellite signals, determining a satellite solution for each satellite associated with a satellite signal in the refined set of satellite signals, applying an a-priori correction to the satellite signals, determining a set of time differenced satellite signals between the satellite signals from a current epoch and a previous epoch; and determining the positioning solution of the rover using a fusion engine that processes the differenced satellite signals and inertial measurement unit (IMU) data.

Abstract: A system or method for generating GNSS corrections can include receiving satellite observations associated with a set of satellites at a reference station, determining atmospheric corrections valid within a geographical area; wherein geographical areas associated with different atmospheric corrections can be overlapping, and wherein the atmospheric corrections can be provided to a GNSS receiver when the locality of the GNSS receiver is within a transmission region of the geographical area.

Abstract: An system and/or method for detecting outliers in satellite observations can include: receiving satellite observations associated with one or more satellite constellations; receiving sensor data; determining a GNSS positioning solution using a filter to process the satellite observations; determining a fused positioning solution; detecting whether outliers are present in the satellite observations; and when outliers are detected, updating the GNSS positioning solution and/or the fused positioning solution using a set of outlier mitigated satellite observations.

Abstract: An analytics computing device is provided. The analytics computing device may include a processor in communication with a memory. The processor may (1) store, in the memory, a plurality of documents in association with a case identifier; (2) electronically extract content data from the plurality of documents using a semantic analysis engine; (3) generate a case record in the memory including the extracted content data associated with the case identifier, the case record having a predefined data format; (4) execute a machine learning model configured to output a predicted value amount by inputting at least a portion of the extracted content data included in the case record into the machine learning model, the machine learning model trained using a plurality of historical case records and a plurality of historical value amounts; and/or (5) cause the predicted value amount outputted by the machine learning model to be displayed.

Abstract: An system and/or method for detecting outliers in satellite observations can include: receiving satellite observations associated with one or more satellite constellations; receiving sensor data; determining a GNSS positioning solution using a filter to process the satellite observations; determining a fused positioning solution; detecting whether outliers are present in the satellite observations; and when outliers are detected, updating the GNSS positioning solution and/or the fused positioning solution using a set of outlier mitigated satellite observations.

Abstract: A method for disseminating corrections can include receiving a set of satellite observations at a GNSS receiver; transmitting the corrections to the GNSS receiver, wherein the corrections; and determining a position of the GNSS receiver, wherein the set of satellite observations are corrected using the corrections. A system for disseminating corrections can include a positioning engine operating on a computing system collocated with a GNSS antenna; and a corrections generator operating on a computing system remote from the GNSS antenna, wherein the corrections generator is configured to transmit corrections to the positioning engine, wherein the positioning engine is configured to determine a high accuracy position of the GNSS antenna using the corrections, wherein the corrections are rebroadcast to the positioning engine with a time period less than an update time period for changing the corrections.

Abstract: A method can include receiving a set of satellite signals, refining the set of satellite signals to generate a refined set of satellite signals, determining a satellite solution for each satellite associated with a satellite signal in the refined set of satellite signals, applying an a-priori correction to the satellite signals, determining a set of time differenced satellite signals between the satellite signals from a current epoch and a previous epoch; and determining the positioning solution of the rover using a fusion engine that processes the differenced satellite signals and inertial measurement unit (IMU) data.

Abstract: A method for disseminating corrections can include receiving a set of satellite observations at a GNSS receiver; transmitting the corrections to the GNSS receiver, wherein the corrections; and determining a position of the GNSS receiver, wherein the set of satellite observations are corrected using the corrections. A system for disseminating corrections can include a positioning engine operating on a computing system collocated with a GNSS antenna; and a corrections generator operating on a computing system remote from the GNSS antenna, wherein the corrections generator is configured to transmit corrections to the positioning engine, wherein the positioning engine is configured to determine a high accuracy position of the GNSS antenna using the corrections, wherein the corrections are rebroadcast to the positioning engine with a time period less than an update time period for changing the corrections.

Abstract: A garment, particularly a garment useful in a medical setting, comprising a gown that provides an acceptable barrier between a wearer and certain contaminants as well as easy doffing, the gown having a neck opening, two sleeves, a body portion including a front body portion and a back body portion, one or more panels, and/or one or more doffing features.

Abstract: A method can include receiving sensor data, receiving satellite observations, determining a positioning solution (e.g., PVT solution, PVA solution, kinematic parameters, etc.) based on the sensor data and the satellite observations. A system can include a sensor, a GNSS receiver, and a processor configured to determine a positioning solution based on readings from the sensor and the GNSS receiver.

Abstract: A method can include receiving sensor data, receiving satellite observations, determining a positioning solution (e.g., PVT solution, PVA solution, kinematic parameters, etc.) based on the sensor data and the satellite observations. A system can include a sensor, a GNSS receiver, and a processor configured to determine a positioning solution based on readings from the sensor and the GNSS receiver.

Abstract: A garment, particularly a garment useful in a medical setting, comprising a gown that provides an acceptable barrier between a wearer and certain contaminants as well as easy doffing, the gown having a neck opening, two sleeves, a body portion including a front body portion and a back body portion, one or more panels, and/or one or more doffing features.

Abstract: A method for disseminating corrections can include receiving a set of satellite observations at a GNSS receiver; transmitting the corrections to the GNSS receiver, wherein the corrections; and determining a position of the GNSS receiver, wherein the set of satellite observations are corrected using the corrections. A system for disseminating corrections can include a positioning engine operating on a computing system collocated with a GNSS antenna; and a corrections generator operating on a computing system remote from the GNSS antenna, wherein the corrections generator is configured to transmit corrections to the positioning engine, wherein the positioning engine is configured to determine a high accuracy position of the GNSS antenna using the corrections, wherein the corrections are rebroadcast to the positioning engine with a time period less than an update time period for changing the corrections.

Abstract: A method can include receiving sensor data, receiving satellite observations, determining a positioning solution (e.g., PVT solution, PVA solution, kinematic parameters, etc.) based on the sensor data and the satellite observations. A system can include a sensor, a GNSS receiver, and a processor configured to determine a positioning solution based on readings from the sensor and the GNSS receiver.

Abstract: A method can include receiving sensor data, receiving satellite observations, determining a positioning solution (e.g., PVT solution, PVA solution, kinematic parameters, etc.) based on the sensor data and the satellite observations. A system can include a sensor, a GNSS receiver, and a processor configured to determine a positioning solution based on readings from the sensor and the GNSS receiver.

Abstract: A system or method for generating GNSS corrections can include receiving satellite observations associated with a set of satellites at a reference station, determining atmospheric corrections valid within a geographical area; wherein geographical areas associated with different atmospheric corrections can be overlapping, and wherein the atmospheric corrections can be provided to a GNSS receiver when the locality of the GNSS receiver is within a transmission region of the geographical area.