Abstract: An example system is configured for displaying enhancement options and financial analysis. The system may include a server, third party data sources and an augmented reality computing device that includes a processing unit and system memory. The augmented reality computing device is configured to obtain user input regarding a property enhancement option; render the property enhancement options in augmented reality; obtain financial data from the server and the third party data sources; responsive to the obtained user input, automatically generate a financial analysis of the property enhancement option, wherein the financial analysis is based on the obtained financial data; and render the financial analysis with the obtained property enhancement option in augmented reality.

Abstract: An example system is configured for displaying enhancement options and financial analysis. The system may include a server, third party data sources and an augmented reality computing device that includes a processing unit and system memory. The augmented reality computing device is configured to obtain user input regarding a property enhancement option; render the property enhancement options in augmented reality; obtain financial data from the server and the third party data sources; responsive to the obtained user input, automatically generate a financial analysis of the property enhancement option, wherein the financial analysis is based on the obtained financial data; and render the financial analysis with the obtained property enhancement option in augmented reality.

Abstract: This disclosure is directed to a computing system that performs techniques relating to the secure storage, maintenance, and retrieval of data. Techniques described in this disclosure may prevent, limit, or otherwise insulate the data from unauthorized access by hackers, rogue devices, and unauthorized users. In some examples, a computing system may store a file by fracturing the file into multiple data blocks, encrypting the data blocks or the data stored within the data blocks, and storing the data blocks in scattered locations on a network. Further, the computing system may occasionally move at least some of the stored data blocks, and may, upon moving such data blocks, reencrypt the moved data blocks with a different encryption key. Still further, the computing system may inject fake data and/or fake data blocks into the system.

Abstract: A method implemented on an electronic computing device includes obtaining an inventory of items in a property. Financial information is associated with one or more of the items. A status is monitored regarding maintenance and recalls of one or more of the items. Based on the status and using the financial information, at least one recommendation is provided for maintenance or replacement of one or more of the items.

Abstract: An example system is configured for displaying enhancement options and financial analysis. The system may include a server, third party data sources and an augmented reality computing device that includes a processing unit and system memory. The augmented reality computing device is configured to obtain user input regarding a property enhancement option; render the property enhancement options in augmented reality; obtain financial data from the server and the third party data sources; responsive to the obtained user input, automatically generate a financial analysis of the property enhancement option, wherein the financial analysis is based on the obtained financial data; and render the financial analysis with the obtained property enhancement option in augmented reality.

Abstract: This disclosure is directed to a computing system that performs techniques relating to the secure storage, maintenance, and retrieval of data. Techniques described in this disclosure may prevent, limit, or otherwise insulate the data from unauthorized access by hackers, rogue devices, and unauthorized users. In some examples, a computing system may store a file by fracturing the file into multiple data blocks, encrypting the data blocks or the data stored within the data blocks, and storing the data blocks in scattered locations on a network. Further, the computing system may occasionally move at least some of the stored data blocks, and may, upon moving such data blocks, reencrypt the moved data blocks with a different encryption key. Still further, the computing system may inject fake data and/or fake data blocks into the system.

Abstract: Disclosed is a fluid detection device including a fluid sensor positioned near a patient's body and providing a signal whether the sensor detects fluid from the patient's body; a casing surrounding the alarm and allowing the signal to be sensed by the patient; an alarm coupled to the fluid sensor, the alarm including one or more of: an audible signal sensible by the patient, a haptic signal sensible by the patient, a visible signal sensible by the patient through the casing; a casing surrounding the alarm and allowing the signal to be sensed by the patient; and a fastener coupled to the casing, adjustable to attach and remove from one or more of: the patient's body, the patient's clothing. The casing, when closed, may couple a power source to the alarm. Also included may be a human interface and other features. Also disclosed is a fluid detection method.

Abstract: This disclosure is directed to a computing system that performs techniques relating to the secure storage, maintenance, and retrieval of data. Techniques described in this disclosure may prevent, limit, or otherwise insulate the data from unauthorized access by hackers, rogue devices, and unauthorized users. In some examples, a computing system may store a file by fracturing the file into multiple data blocks, encrypting the data blocks or the data stored within the data blocks, and storing the data blocks in scattered locations on a network. Further, the computing system may occasionally move at least some of the stored data blocks, and may, upon moving such data blocks, reencrypt the moved data blocks with a different encryption key. Still further, the computing system may inject fake data and/or fake data blocks into the system.

Abstract: Provided is an electrolyte sensor that uses conductive elastomer electrodes. Examples of the intended analytes for sensor use include those found in urine, saliva, blood, feces, and spinal fluid, although other analytes exist for electrolyte detection. Conductive elastomer trace electrodes are separated by a channel or gap which can be bridged by an electrolyte and thereby complete an electrical circuit to an alarm or other circuitry. Channel or gap distances vary the level of electrical resistance associated with detecting certain analytes.

Abstract: An apparatus for fluid detection comprises a fluid sensor positioned near a patient's body, an alarm connected to the fluid sensor, a closeable casing having a size that allows it to maintain the alarm within a space that is defined by the closeable casing, and a fastener coupled to the closeable casing. The fluid sensor provides a signal whenever the fluid sensor detects fluid. The alarm includes one or more status indicators that are responsive to the signal. The closeable casing allows the patient to see, hear, or otherwise sense, the alarm through the closeable casing. The fastener is affixed to: the patient's body, the patient's clothing, or both. The casing can be opened and closed, and optionally, the alarm can be removed and replaced in the space the casing defines.