Abstract: A scalable middleware for supporting energy-efficient, long-term remote health monitoring and the capture and transmission of relative causative contextual history where data is collected using physiological sensors and transported back to the middleware through a mobile device serving as a gateway. The key to energy efficient operations lies in the adoption of an Activity Triggered Deep Monitoring paradigm, where data collection episodes are triggered only when the system is determined to possess a specified set of causative contexts. The system supports on-demand collection of causative contextual history using a low-overhead provenance collection sub-system. In a preferred embodiment the behavior of this sub-system is configured using an application-defined context composition graph. The resulting causative context history stream provides valuable insight into the states and conditions surround sensor readings and allows improved human interpretation of the ‘episodic’ sensor data streams.

Abstract: The invention provides a family of tethered nucleotide analogs useful in sequencing nucleic acids containing a homopolymer region comprising, for example, two or more base repeats, and to sequencing methods using such tethered nucleotide analogs.

Abstract: The invention provides for nucleotide analogs and methods of using the same, e.g., for sequencing nucleic acids.

Abstract: The invention provides for nucleotide analogs and methods of using the same, e.g., for sequencing nucleic acids.

Abstract: The invention provides a family of tethered nucleotide analogs useful in sequencing nucleic acids containing a homopolymer region comprising, for example, two or more base repeats, and to sequencing methods using such tethered nucleotide analogs.

Abstract: The invention provides a family of tethered nucleotide analogs useful in sequencing nucleic acids containing a homopolymer region comprising, for example, two or more base repeats, and to sequencing methods using such tethered nucleotide analogs.

Abstract: An abrasive composition comprising non-polymeric organic particles that is useful for chemical mechanical planarization (CMP), and which can widely be used in the semiconductor industry. The inventive compositions preferably comprise soft water in combination with 0.001–20 w/w % of non-polymeric organic particles, 0.1–10 w/w % of an oxidizing agent, 0.05–10 w/w % of a chelating agent, 0.01–10 w/w % of a surfactant, and 0–10 w/w % of a passivation agent at a pH in the range of 2–12, wherein said percentages are w/w (weight/weight) percentages, based on the total weight of said compositions. The abrasive compositions provide an efficient polishing rate, excellent selectivity and good surface quality when utilized as a new abrasive composition in CMP applications.