Abstract: Disclosed herein are an imaging assembly and a method of controlling the imaging assembly. The assembly includes a housing having a sensor configured to detect radiation impinging on the sensor from a plurality of directions. The assembly may employ one or more shields, including a first internal shield having a first annular body between a first inner surface and a first outer surface. The first internal shield is configured to be placed in the housing such that the first inner surface at least partially surrounds the sensor. When the first internal shield is placed in the housing, the sensor is configured to receive a first central zone radiation through a first field of view, and a first peripheral zone radiation through a first peripheral view. The assembly is configured to provide at least one of a controllable field of view and reduced background contamination in an image domain.

Abstract: Systems and methods are described that provide a dynamic reporting functionality that can identify important information and dynamically present a report about the important information that highlights important findings to the user. The described systems and methods are generally described in the field of diabetes management, but are applicable to other medical reports as well. In one implementation, the dynamic reports are based on available data and devices. For example, useless sections of the report, such as those with no populated data, may be removed, minimized in importance, assigned a lower priority, or the like.

Abstract: Systems and methods for detecting and reporting patterns in analyte concentration data are provided. According to some implementations, an implantable device for continuous measurement of an analyte concentration is disclosed. The implantable device includes a sensor configured to generate a signal indicative of a concentration of an analyte in a host, a memory configured to store data corresponding at least one of the generated signal and user information, a processor configured to receive data from at least one of the memory and the sensor, wherein the processor is configured to generate pattern data based on the received information, and an output module configured to output the generated pattern data. The pattern data can be based on detecting frequency and severity of analyte data in clinically risky ranges.

Abstract: The present disclosure provides a method for producing electrically conductive 3D structures by immersing a substrate having a build surface into a vat containing a liquid photopolymer resin which includes a conjugated polymer, controlling a thickness of a layer of the liquid photopolymer resin on the build surface so that when the liquid photopolymer resin is photopolymerized a base layer of preselected thickness of resin is produced, followed by projecting a beam of radiation having a preselected pattern down onto a top surface of the first layer of the liquid photopolymer resin for long enough to effect photopolymerization of the layer of liquid photopolymer resin; and repeating step a), b) and c) a plurality of times on top of the base layer such each layer of the 3D object is selectively photopolymerized on top of the previously photopolymerized layer to produce the 3D structure. The presence of the conjugated polymer results in the final 3D structure exhibiting electrical conductivity.

Abstract: Provided are systems and methods using which users may learn and become familiar with the effects of various aspects of their lifestyle on their health, e.g., users may learn about how food and/or exercise affects their glucose level and other physiological parameters, as well as overall health. In some cases the user selects a program to try; in other cases, a computing environment embodying the system suggests programs to try, including on the basis of pattern recognition, i.e., by the computing environment determining how a user could improve a detected pattern in some way. In this way, users such as type II diabetics or even users who are only prediabetic or non-diabetic may learn healthy habits to benefit their health.

Abstract: Wireless mesh network (WMN) architectures of network hardware devices organized in a mesh topology in which the network hardware devices cooperate in distribution of content files to client consumption devices in an environment of limited connectivity to broadband Internet infrastructure is described. A self-contained, fully connected WMN can be used for localized delivery of content files. One WMN includes a single ingress node for ingress of content files into the wireless mesh network. The WMN also includes multiple network hardware devices wirelessly connected through a network backbone formed by multiple P2P wireless connections. A first network hardware device is wirelessly connected to a client consumption device by a first node-to-client (N2C) wireless connection and a second network hardware device is wirelessly connected to the single ingress node.

Abstract: The present invention is directed generally to chimeric proteins that can facilitate targeting of nanoparticulate carriers to antigen presenting cells, and to nanoparticulate carriers comprising these chimeric proteins. The invention is also directed to methods of internalizing an antigen in an antigen presenting cell, and methods of eliciting an immune response to an antigen in a subject, using the nanoparticulate carriers comprising the chimeric proteins.

Abstract: Systems and methods are described that provide a dynamic reporting functionality that can identify important information and dynamically present a report about the important information that highlights important findings to the user. The described systems and methods are generally described in the field of diabetes management, but are applicable to other medical reports as well. In one implementation, the dynamic reports are based on available data and devices. For example, useless sections of the report, such as those with no populated data, may be removed, minimized in importance, assigned a lower priority, or the like.

Abstract: Methods and apparatus, including computer program products, are provided for processing analyte data. In some example implementations, a method may include generating glucose sensor data indicative of a host's glucose concentration using a glucose sensor; calculating a glycemic variability index (GVI) value based on the glucose sensor data; and providing output to a user responsive to the calculated glycemic variability index value. The GVI may be a ratio of a length of a line representative of the sensor data and an ideal length of the line. Related systems, methods, and articles of manufacture are also disclosed.

Abstract: Provided are systems and methods using which users may learn and become familiar with the effects of various aspects of their lifestyle on their health, e.g., users may learn about how food and/or exercise affects their glucose level and other physiological parameters, as well as overall health. In some cases the user selects a program to try; in other cases, a computing environment embodying the system suggests programs to try, including on the basis of pattern recognition, i.e., by the computing environment determining how a user could improve a detected pattern in some way. In this way, users such as type II diabetics or even users who are only prediabetic or non-diabetic may learn healthy habits to benefit their health.

Abstract: Provided are systems and methods using which users may learn and become familiar with the effects of various aspects of their lifestyle on their health, e.g., users may learn about how food and/or exercise affects their glucose level and other physiological parameters, as well as overall health. In some cases the user selects a program to try; in other cases, a computing environment embodying the system suggests programs to try, including on the basis of pattern recognition, i.e., by the computing environment determining how a user could improve a detected pattern in some way. In this way, users such as type II diabetics or even users who are only prediabetic or non-diabetic may learn healthy habits to benefit their health.

Abstract: Methods and apparatus, including computer program products, are provided for processing analyte data. In some example implementations, a method may include generating glucose sensor data indicative of a host's glucose concentration using a glucose sensor; calculating a glycemic variability index (GVI) value based on the glucose sensor data; and providing output to a user responsive to the calculated glycemic variability index value. The GVI may be a ratio of a length of a line representative of the sensor data and an ideal length of the line. Related systems, methods, and articles of manufacture are also disclosed.

Abstract: Techniques are disclosed for efficiently updating multiple computing systems in potentially heterogeneous computing environments. Embodiments provide for efficient patching of multiple software applications executing in multiple execution environments. For example, a custom installation tool can be provided to each of the computing devices in the cloud infrastructure system. The computing devices can execute the custom installation tool and identify, retrieve, and apply the necessary patches to applications on the computing devices. The patch-related processing across the multiple computing devices may occur in parallel such that at least a portion of the processing is performed concurrently from one another.

Abstract: Systems and methods for detecting and reporting patterns in analyte concentration data are provided. According to some implementations, an implantable device for continuous measurement of an analyte concentration is disclosed. The implantable device includes a sensor configured to generate a signal indicative of a concentration of an analyte in a host, a memory configured to store data corresponding at least one of the generated signal and user information, a processor configured to receive data from at least one of the memory and the sensor, wherein the processor is configured to generate pattern data based on the received information, and an output module configured to output the generated pattern data. The pattern data can be based on detecting frequency and severity of analyte data in clinically risky ranges.

Abstract: Described are techniques for determining whether a received audio signal is corrupted or a product of noise, prior to decoding the entire signal. An emitted audio signal may include initialization data, which includes a predetermined sequence of symbols, and which precedes encoded payload data. Correspondence between the predetermined sequence of symbols and expected symbols stored as confirmation data may be determined. If the correspondence indicates a match, an audio receiver may continue decoding the audio signal to access the payload data. If the correspondence does not indicate a match, the audio receiver may cease decoding, which may conserve power, computing resources, and time, ensuring that subsequent audio signals are not missed while the audio receiver decodes a false or corrupted signal.

Abstract: Systems and methods are described that provide a dynamic reporting functionality that can identify important information and dynamically present a report about the important information that highlights important findings to the user. The described systems and methods are generally described in the field of diabetes management, but are applicable to other medical reports as well. In one implementation, the dynamic reports are based on available data and devices. For example, useless sections of the report, such as those with no populated data, may be removed, minimized in importance, assigned a lower priority, or the like.

Abstract: Described is an improved active-beacon/passive-listener time difference of arrival navigation system that relies on the multiple beacons to transmit uncoded acoustic pulses of a same frequency that propagate in the system at a same time for high-speed device tracking. Listening devices may receive multiple encoded radio frequency pulses (RF) prior to a single acoustic pulse, and then resolve which RF pulse corresponds to the acoustic pulse using triangulation techniques.

Abstract: Techniques are disclosed for efficiently updating multiple computing systems in potentially heterogeneous computing environments. Embodiments provide for efficient patching of multiple software applications executing in multiple execution environments. For example, a custom installation tool can be provided to each of the computing devices in the cloud infrastructure system. The computing devices can execute the custom installation tool and identify, retrieve, and apply the necessary patches to applications on the computing devices. The patch-related processing across the multiple computing devices may occur in parallel such that at least a portion of the processing is performed concurrently from one another.