Abstract: A medical product includes a bladder, a filtration device, and a sterile product concentrate. The bladder has a perimeter seal and defining a sterile chamber. The filtration device includes a stem and a filter membrane disposed in line with the stem. The stem extends through the perimeter seal and has an inlet end accessible from outside of the perimeter seal and an outlet end in fluid communication with the sterile chamber. The filter membrane can have a nominal pore size in a range of approximately 0.1 ?m to approximately 0.5 ?m, wherein the filter membrane is shaped as a hollow fiber with a wall and pores residing in the wall of the fiber. The sterile product concentrate is disposed in the sterile chamber and adapted to be reconstituted by the introduction of a pharmaceutical fluid into the chamber through the filtration device.

Abstract: A lateral-flow assay device includes a substrate having a sample addition zone and a wash addition zone downstream thereof along a fluid flow path through which a sample flows. The fluid flow path is configured to receive a wash fluid in the wash addition zone. A hydrophilic surface is arranged in the wash addition zone. Flow constriction(s) are spaced apart from the fluid flow path and arranged to define, with the hydrophilic surface, a reservoir configured to retain the wash fluid by formation of a meniscus between the hydrophilic surface and the flow constriction(s). The fluid flow path draws the wash fluid from the reservoir by capillary pressure. Apparatus for analyzing a fluidic sample and methods of displacing a fluidic sample in a fluid flow path of an assay device are also described.

Abstract: Disclosed is an assay device which comprises a liquid sample addition zone, a reagent zone, a detection zone, and a wicking zone, all defining a fluid flow path. The device further comprises a reagent addition zone along and in fluid communication with the fluid flow path downstream of the sample addition zone and upstream of the detection zone. An interrupting wash is added at this reagent addition zone in accordance with the method of the subject invention to control sample volume. The interrupting wash fluid is added at a predetermined fill volume on the chip device and also serves to wash the detection channel and fill the remaining chip volume.

Abstract: A Hyper-Converged Infrastructure (HCl) system that includes a plurality of HCl log generating components and an HCl storage system that provides at least a portion of a log database. The HCl system receives a request from a management system to store a first log bundle of the plurality of HCl log generating components and determines the at least one second log bundle that is stored in the log database is at least a size threshold. The HCl system performs a log database clean operation on the at least one second log bundle and determines that the log database clean operation on the at least one second log bundle has provided an available storage capacity in the log database that is sufficient to store the first log bundle. The HCl system then stores the first log bundle in the log database.

Abstract: A Hyper-Converged Infrastructure (HCl) system that includes a plurality of HCl log generating components and an HCl storage system that provides at least a portion of a log database. The HCl system receives a request from a management system to store a first log bundle of the plurality of HCl log generating components and determines the at least one second log bundle that is stored in the log database is at least a size threshold. The HCl system performs a log database clean operation on the at least one second log bundle and determines that the log database clean operation on the at least one second log bundle has provided an available storage capacity in the log database that is sufficient to store the first log bundle. The HCl system then stores the first log bundle in the log database.

Abstract: A Hyper-Converged Infrastructure (HCI) system that includes a plurality of HCI log generating components and an HCI storage system that provides at least a portion of a log database. The HCI system receives a request from a management system to store a first log bundle of the plurality of HCI log generating components and determines the at least one second log bundle that is stored in the log database is at least a size threshold. The HCI system performs a log database clean operation on the at least one second log bundle and determines that the log database clean operation on the at least one second log bundle has provided an available storage capacity in the log database that is sufficient to store the first log bundle. The HCI system then stores the first log bundle in the log database.

Abstract: A Hyper-Converged Infrastructure (HCI) system that includes a plurality of HCI log generating components and an HCI storage system that provides at least a portion of a log database. The HCI system receives a request from a management system to store a first log bundle of the plurality of HCI log generating components and determines the at least one second log bundle that is stored in the log database is at least a size threshold. The HCI system performs a log database clean operation on the at least one second log bundle and determines that the log database clean operation on the at least one second log bundle has provided an available storage capacity in the log database that is sufficient to store the first log bundle. The HCI system then stores the first log bundle in the log database.

Abstract: Identifying a location of a mobile device is disclosed (e.g., presuming user consent to the same). One or more received signal strengths (RSSs), comprising a first RSS, may be received by a first access point (AP) from the mobile device. The RSSs may be used to identify a grid area, comprising a first grid space. A signal distance between the first grid space and the first AP may be identified using the first RSS, and combined with a first grid space distance, comprising a known distance between the first grid space and the first AP, to determine a first grid space likelihood score for the first grid space. A second grid space likelihood score may be determined for a second grid space (e.g., and a third, etc.), and the grid space comprising a desired grid space likelihood score (e.g., highest) may be selected as the mobile device location.

Abstract: Identifying a location of a mobile device is disclosed (e.g., presuming user consent to the same). One or more received signal strengths (RSSs), comprising a first RSS, may be received by a first access point (AP) from the mobile device. The RSSs may be used to identify a grid area, comprising a first grid space. A signal distance between the first grid space and the first AP may be identified using the first RSS, and combined with a first grid space distance, comprising a known distance between the first grid space and the first AP, to determine a first grid space likelihood score for the first grid space. A second grid space likelihood score may be determined for a second grid space (e.g., and a third, etc.), and the grid space comprising a desired grid space likelihood score (e.g., highest) may be selected as the mobile device location.

Abstract: Identifying a location of a mobile device is disclosed (e.g., presuming user consent to the same). One or more received signal strengths (RSSs), comprising a first RSS, may be received by a first access point (AP) from the mobile device. The RSSs may be used to identify a grid area, comprising a first grid space. A signal distance between the first grid space and the first AP may be identified using the first RSS, and combined with a first grid space distance, comprising a known distance between the first grid space and the first AP, to determine a first grid space likelihood score for the first grid space. A second grid space likelihood score may be determined for a second grid space (e.g., and a third, etc.), and the grid space comprising a desired grid space likelihood score (e.g., highest) may be selected as the mobile device location.

Abstract: Identifying a location of a mobile device is disclosed (e.g., presuming user consent to the same). One or more received signal strengths (RSSs), comprising a first RSS, may be received by a first access point (AP) from the mobile device. The RSSs may be used to identify a grid area, comprising a first grid space. A signal distance between the first grid space and the first AP may be identified using the first RSS, and combined with a first grid space distance, comprising a known distance between the first grid space and the first AP, to determine a first grid space likelihood score for the first grid space. A second grid space likelihood score may be determined for a second grid space (e.g., and a third, etc.), and the grid space comprising a desired grid space likelihood score (e.g., highest) may be selected as the mobile device location.

Abstract: Identifying a location of a mobile device is disclosed (e.g., presuming user consent to the same). One or more received signal strengths (RSSs), comprising a first RSS, may be received by a first access point (AP) from the mobile device. The RSSs may be used to identify a grid area, comprising a first grid space. A signal distance between the first grid space and the first AP may be identified using the first RSS, and combined with a first grid space distance, comprising a known distance between the first grid space and the first AP, to determine a first grid space likelihood score for the first grid space. A second grid space likelihood score may be determined for a second grid space (e.g., and a third, etc.), and the grid space comprising a desired grid space likelihood score (e.g., highest) may be selected as the mobile device location.

Abstract: A user's context is determined based on the wireless network to which the user is connected. Targeted information, based on the determined context, is then delivered to the user. A centralized mechanism associates identifiers of wireless access points to one or more providers, such as retail establishments, that have set up those access points and have been registered by the centralized mechanism. The providers also provide targeted information that they wish to have delivered to users whose context indicates that they are in or near that provider's store. The centralized mechanism further has information associating the wireless computing device with contact information that can be utilized to deliver targeted information. The targeted information can be delivered to the user via the wireless network, a cellular network or through other communicational mechanisms. The provider, or retail establishment, can also be informed of the presence of the user near its premises.

Abstract: One or more techniques and/or systems are disclosed for identifying a location of a mobile device (e.g., with user consent). A set of one or more indications of received signal strength (RSS) may be received, comprising a first RSS from a first access point (AP). The set of RSS indications may be used to identify a grid area, comprising a first grid space. An expected distance between the first grid space and the first AP may be identified using the first RSS. The expected distance can be combined with a first known distance between the first grid space and the first AP to determine a first grid score for the first grid space. A second grid score may be determined for a second grid space (e.g., and a third, fourth, etc.), and the grid space comprising a desired grid score (e.g., highest) may be selected as the mobile device location.

Abstract: Among other things, one or more techniques and/or systems are disclosed for identifying a proximate beacon to a mobile device. One or more first received signal strengths (RSSs), relative to the mobile device, may be received and used to determine a first average signal strength (RSS) and a first average RSS deviation for a first beacon during an observation period. An average RSS deviation for the observation period can be determined using the first average RSS deviation (e.g., and other average RSS deviations). If the average RSS deviation meets a desired deviation threshold, the first beacon may be identified as the proximate beacon. In this manner, if the user of the mobile device consents to the same, the user may be provided with relevant information (e.g., advertisements) on the mobile device while in a locale (e.g., store) corresponding to the (known) location of the beacon, for example.

Abstract: Among other things, one or more techniques and/or systems are disclosed for identifying a proximate beacon to a mobile device. One or more first received signal strengths (RSSs), relative to the mobile device, may be received and used to determine a first average signal strength (RSS) and a first average RSS deviation for a first beacon during an observation period. An average RSS deviation for the observation period can be determined using the first average RSS deviation (e.g., and other average RSS deviations). If the average RSS deviation meets a desired deviation threshold, the first beacon may be identified as the proximate beacon. In this manner, if the user of the mobile device consents to the same, the user may be provided with relevant information (e.g., advertisements) on the mobile device while in a locale (e.g., store) corresponding to the (known) location of the beacon, for example.

Abstract: Identifying a location of a mobile device is disclosed (e.g., presuming user consent to the same). One or more received signal strengths (RSSs), comprising a first RSS, may be received by a first access point (AP) from the mobile device. The RSSs may be used to identify a grid area, comprising a first grid space. A signal distance between the first grid space and the first AP may be identified using the first RSS, and combined with a first grid space distance, comprising a known distance between the first grid space and the first AP, to determine a first grid space likelihood score for the first grid space. A second grid space likelihood score may be determined for a second grid space (e.g., and a third, etc.), and the grid space comprising a desired grid space likelihood score (e.g., highest) may be selected as the mobile device location.

Abstract: One or more techniques and/or systems are disclosed for identifying a location of a mobile device (e.g., with user consent). A set of one or more indications of received signal strength (RSS) may be received, comprising a first RSS from a first access point (AP). The set of RSS indications may be used to identify a grid area, comprising a first grid space. An expected distance between the first grid space and the first AP may be identified using the first RSS. The expected distance can be combined with a first known distance between the first grid space and the first AP to determine a first grid score for the first grid space. A second grid score may be determined for a second grid space (e.g., and a third, fourth, etc.), and the grid space comprising a desired grid score (e.g., highest) may be selected as the mobile device location.

Abstract: Among other things, one or more techniques and/or systems are disclosed for identifying a proximate beacon to a mobile device. One or more first received signal strengths (RSSs), relative to the mobile device, may be received and used to determine a first average signal strength (RSS) and a first average RSS deviation for a first beacon during an observation period. An average RSS deviation for the observation period can be determined using the first average RSS deviation (e.g., and other average RSS deviations). If the average RSS deviation meets a desired deviation threshold, the first beacon may be identified as the proximate beacon. In this manner, if the user of the mobile device consents to the same, the user may be provided with relevant information (e.g., advertisements) on the mobile device while in a locale (e.g., store) corresponding to the (known) location of the beacon, for example.

Abstract: A user's context is determined based on the wireless network to which the user is connected. Targeted information, based on the determined context, is then delivered to the user. A centralized mechanism associates identifiers of wireless access points to one or more providers, such as retail establishments, that have set up those access points and have been registered by the centralized mechanism. The providers also provide targeted information that they wish to have delivered to users whose context indicates that they are in or near that provider's store. The centralized mechanism further has information associating the wireless computing device with contact information that can be utilized to deliver targeted information. The targeted information can be delivered to the user via the wireless network, a cellular network or through other communicational mechanisms. The provider, or retail establishment, can also be informed of the presence of the user near its premises.