Abstract: Systems, methods, and apparatuses that provide alerts based on analyte data and acceleration data. An analyte sensor may generate the analyte data. An accelerometer may generate the acceleration data. A transceiver may convert the analyte data into analyte concentration values. The transceiver may convert the acceleration data into activity information. The transceiver may generate an alert based on the analyte concentration values and activity information. The alert may be communicated to a user by a mobile medical application executed on the transceiver and/or a display device (e.g., smartphone) in communication with the transceiver. The mobile medical application may display (e.g., on a display of the display device) a plot or graph of the analyte concentration values and activity information with respect to time.

Abstract: An analyte monitoring system and method. The analyte monitoring system may include an analyte sensor and a transceiver. The analyte sensor may include an analyte indicator that exhibits one or more detectable properties based on an amount or concentration of an analyte in proximity to the indicator. The transceiver may be configured to receive one or more measurements from the sensor. The transceiver may be configured to assess in real time a performance of the sensor based on at least the one or more measurements. The transceiver may be configured to determine whether the performance of the sensor is deficient based at least on the assessed performance of the sensor. The transceiver may be configured to calculate an analyte level based on at least the one or more sensor measurements. The transceiver may be configured to determine whether the calculated analyte level is a spike.

Abstract: An analyte monitoring system and method. The analyte monitoring system may include an analyte sensor and a transceiver. The analyte sensor may include an analyte indicator that exhibits one or more detectable properties based on an amount or concentration of an analyte in proximity to the indicator. The transceiver may be configured to receive one or more measurements from the sensor. The transceiver may be configured to assess in real time a performance of the sensor based on at least the one or more measurements. The transceiver may be configured to determine whether the performance of the sensor is deficient based at least on the assessed performance of the sensor. The transceiver may be configured to calculate an analyte level based on at least the one or more sensor measurements. The transceiver may be configured to determine whether the calculated analyte level is a spike.

Abstract: Disclosed are analyte monitoring systems and methods for calibrating an analyte sensor using one or more reference measurements. These systems and methods may include using a conversion function and first sensor data to calculate a first sensor analyte level, weighting a first reference analyte measurement (RM1) and one or more previous reference analyte measurements according to a weighted average cost function, updating the conversion function using the weighted RM1 and the one or more weighted previous reference analyte measurements as calibration points, and using the updated conversion function and second sensor data to calculate a second sensor analyte level. In some aspects, the systems and methods may include updating one or more of lag parameters used to calculate the sensor analyte levels.

Abstract: Dispersoids 7xxx aluminum alloy products with enhanced fatigue crack growth deviation and Environmentally Assisted Cracking (EAC) resistance are disclosed. The 7xxx aluminum alloy comprises 1 to 3 wt. % Cu, 1.2 to 3 wt. % Mg, 4 to 8.5 wt. % Zn, up to 0.3 wt. % Mn, up to 0.15 wt. % Zr, up to 0.3 wt. % Cr dispersoid elements, incidental elements, and the balance Al. In one embodiment, the alloy includes Zr + Cr + Mn in the range of 0.2 to 0.8 wt. %. In another embodiment, the alloy includes Zr + Mn in the range of 0.07 to 0.7 wt. %. This alloy can be fabricated to plate, extrusion, or forging products, and is especially suitable for aerospace structural components. The products have enhanced EAC resistance and fatigue crack growth deviation resistance. Meanwhile, the products have an excellent combination of strength, fracture toughness, ductility at different orientations, and Stress Crack Corrosion (SCC), and exfoliation corrosion resistance suitable for aerospace application.

Abstract: High strength and high fracture toughness 7xxx aluminum alloy products comprise 6.5 to 7.2 wt. % Zn, 1.55 to 1.95 wt. % Cu, 1.75 to 2.15 wt. % Mg, 0.095 to 0.15 wt. % Zr, incidental elements, and the balance Al. In one embodiment, the aluminum alloy product includes Mg/Cu and Zn/Mg ratios in the range of 1.05 to 1.35, and 3.2 to 4.0, respectively. This aluminum alloy product can be fabricated to produce plate, extrusion or forging products, and is especially suitable for aerospace structural components. The products have an excellent combination of strength, fracture toughness, Kmax at the fatigue crack deviation point, ductility in different orientations, and corrosion resistance suitable for aerospace application.

Abstract: Disclosed are analyte monitoring systems and methods for calibrating an analyte sensor using one or more reference measurements. These systems and methods may include using a conversion function and first sensor data to calculate a first sensor analyte level, weighting a first reference analyte measurement (RM1) and one or more previous reference analyte measurements according to a weighted average cost function, updating the conversion function using the weighted RM1 and the one or more weighted previous reference analyte measurements as calibration points, and using the updated conversion function and second sensor data to calculate a second sensor analyte level. In some aspects, the systems and methods may include updating one or more of lag parameters used to calculate the sensor analyte levels.

Abstract: Disclosed are analyte monitoring systems and methods for calibrating an analyte sensor using one or more reference measurements. These systems and methods may include using a conversion function and first sensor data to calculate a first sensor analyte level, weighting a first reference analyte measurement (RM1) and one or more previous reference analyte measurements according to a weighted average cost function, updating the conversion function using the weighted RM1 and the one or more weighted previous reference analyte measurements as calibration points, and using the updated conversion function and second sensor data to calculate a second sensor analyte level. In some aspects, the systems and methods may include updating one or more of lag parameters used to calculate the sensor analyte levels.

Abstract: Systems, methods, and devices for determining the condition of a skin surface covered by an adhesive patch. An external device may be configured to be attached to the skin surface via the adhesive patch. A light source of the external device may emit light through the adhesive patch. A photodetector of the device may output a signal indicative of an amount of the light received by the photodetector after passing through the adhesive patch. A controller of the device may determine, based on the signal, a condition of the skin surface covered by the adhesive patch. In some alternative embodiments, the photodetector may instead by in an implantable device, which may convey the signal to the external device. In some other alternative embodiments, the light source may instead be in an implantable device.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to providing item information to customers. In some embodiments, a system for providing item information to customers in an online retail environment comprises a data store configured to store states of items, a user device, and a control circuit configured to receive, from backend systems, nonevent item information for a first item including pricing associated with a nonevent for the first item, receive from the backend systems, event item information for the first item including pricing information associated with an event for the first item and temporal information associated with the event, pregenerate, based on the nonevent item information, a nonevent state of the first item, pregenerate, based on the event item information, an event state of the first time, and transmit, for storage in the data store, the nonevent and event states of the first item.

Abstract: A computing device receives analyte data produced by an analyte monitoring sensor over a communications link from at least one first device. Health data, comprising at least part of the analyte data, may be communicated over a communications link to at least one second device in response to a request. The first device may be positioned over the analyte monitoring sensor using signal strength and location information. External analyte data may be employed to calibrate the analyte monitoring sensor.

Abstract: Systems, methods, and apparatuses that provide alerts based on analyte data and acceleration data. An analyte sensor may generate the analyte data. An accelerometer may generate the acceleration data. A transceiver may convert the analyte data into analyte concentration values. The transceiver may convert the acceleration data into activity information. The transceiver may generate an alert based on the analyte concentration values and activity information. The alert may be communicated to a user by a mobile medical application executed on the transceiver and/or a display device (e.g., smartphone) in communication with the transceiver. The mobile medical application may display (e.g., on a display of the display device) a plot or graph of the analyte concentration values and activity information with respect to time.

Abstract: Analyte monitoring systems and methods may include calculating an analyte level and an analyte level rate of change using at least measurement information conveyed by an analyte sensor, displaying the analyte level, determining whether the analyte level is lower than a first lower analyte level threshold, determining whether the analyte level is lower than a second lower analyte level threshold, comparing the analyte level rate of change to an analyte level rate of change threshold, and displaying one or more of a low analyte level alert and a rate of change alert. The low analyte level alert may be displayed if the analyte level is lower than the first lower analyte threshold, and the rate of change alert may be displayed if the analyte level is lower than the second lower analyte level threshold and the analyte level is changing faster than the analyte level rate of change threshold.

Abstract: An analyte monitoring system and method. The analyte monitoring system may include an analyte sensor and a transceiver. The analyte sensor may include an analyte indicator that exhibits one or more detectable properties based on an amount or concentration of an analyte in proximity to the indicator. The transceiver may be configured to receive one or more measurements from the sensor. The transceiver may be configured to assess in real time a performance of the sensor based on at least the one or more measurements. The transceiver may be configured to determine whether the performance of the sensor is deficient based at least on the assessed performance of the sensor. The transceiver may be configured to calculate an analyte level based on at least the one or more sensor measurements. The transceiver may be configured to determine whether the calculated analyte level is a spike.

Abstract: An analyte monitoring system may include an analyte sensor and a transceiver. The analyte sensor may include one or more sensors and a transceiver interface. The one or more sensors may be configured to generate sensor measurements indicative of an analyte level in a first medium. The sensors may include a temperature transducer configured to generate a sensor temperature measurement, and the sensor measurements may include the sensor temperature measurement. The transceiver interface may be configured to convey the sensor measurements. The transceiver may include a sensor interface and a processor. The sensor interface may be configured to receive the sensor measurements conveyed by the analyte sensor. The processor may be configured to adjust the sensor temperature measurement and calculate an analyte level in a second medium using at least the adjusted sensor temperature measurement and one or more of the sensor measurements.

Abstract: Systems, methods, and apparatuses that provide alerts based on analyte data and acceleration data. An analyte sensor may generate the analyte data. An accelerometer may generate the acceleration data. A transceiver may convert the analyte data into analyte concentration values. The transceiver may convert the acceleration data into activity information. The transceiver may generate an alert based on the analyte concentration values and activity information. The alert may be communicated to a user by a mobile medical application executed on the transceiver and/or a display device (e.g., smartphone) in communication with the transceiver. The mobile medical application may display (e.g., on a display of the display device) a plot or graph of the analyte concentration values and activity information with respect to time.

Abstract: The high strength 7xxx aluminum alloy products and methods of making such products are disclosed resulting in better fatigue crack deviation performance, and high anisotropic ductility. The 7xxx aluminum alloy product comprises 7.0 to 7.8 wt. % Zn, 1.1 to 2.2 wt. % Cu, and 1.1 to 2.1 wt. % Mg. This 7xxx aluminum alloy product can be fabricated to produce plate, extrusion or forging products, and is especially suitable for aerospace structural components, especially large commercial airplane wing structure applications. The minimum tensile yield strength (TYS) along rolling (LT) direction is higher than 65 ksi for 4 to 5 inch plate. The minimum Kmax at crack deviation point is higher than 31 ksi*in1/2 for 4 to 5 inch plate. The minimum elongation is 1.4% for all tensile orientations including lowest orientations of ST-22.5 to ST-45. The 7xxx aluminum alloy product provides high damage tolerance performance as well as better corrosion resistance performance suitable for aerospace application.

Abstract: The present invention is directed to aluminum-lithium alloys, specifically aluminum—copper—lithium—magnesium—manganese alloys. The aluminum-lithium alloy of the present invention comprises from 3.6 to 4.1 wt. % Cu, 0.8 to 1.05 wt. % Li, 0.6 to 1.0 wt. % Mg, 0.2 to 0.6 wt. % Mn, up to 0.12 wt. % Si, up to 0.15 wt. % Fe, from 0.03 to 0.16 wt. % of at least one grain structure control element selected from the group consisting of Zr, Sc, Cr, V, Hf, and other rare earth elements, up to 0.10 wt. % Ti, up to 0.15 wt. % incidental elements with the total of incidental elements not exceeding 0.35 wt. %, and the balance being aluminum. Preferably, Ag is not intentionally added and should not be more than 0.05 wt. % as a non-intentionally added element. Preferably, Zn is not intentionally added and should not be more than 0.2 wt. % as a non-intentionally added element. The amount of Cu in weight percent is at least equal to or higher than four times the amount of Li in weight percent.

Abstract: Systems, methods, and apparatuses that provide alerts based on analyte data and acceleration data. An analyte sensor may generate the analyte data. An accelerometer may generate the acceleration data. A transceiver may convert the analyte data into analyte concentration values. The transceiver may convert the acceleration data into activity information. The transceiver may generate an alert based on the analyte concentration values and activity information. The alert may be communicated to a user by a mobile medical application executed on the transceiver and/or a display device (e.g., smartphone) in communication with the transceiver. The mobile medical application may display (e.g., on a display of the display device) a plot or graph of the analyte concentration values and activity information with respect to time.

Abstract: A low cost, substantially Zr-free, low density 2xxx aluminum-lithium alloy is disclosed. The aluminum-lithium alloy can be produced to high formability sheet products capable of being formed into wrought products with a thickness of 0.01? to 0.249?. Aluminum-lithium alloys of the invention comprise from 3.2 to 4.1 wt. % Cu, 1.0 to 1.8 wt. % Li, 0.8 to 1.2 wt. % Mg, 0.10 to 0.50 wt. % Zn, 0.10 to 1.0 wt. % Mn, up to 0.12 wt. % Si, up to 0.15 wt. % Fe, up to 0.15 wt. % Ti, up to 0.15 wt. % incidental elements, with the total of these incidental elements not exceeding 0.35 wt. %, and the balance being aluminum. Ag should not be intentionally added and should not be more than 0.1 wt. % as a non-intentionally added element. Zr should not be intentionally added and should not be more than 0.05 wt. % as a non-intentionally added element. Mg is at least equal to or higher than 2*Zn in weight percent in the invented alloy.