Abstract:
One embodiment provides a system of exchanging information between at least two parties over a network. The system includes a chat room generator module, executed by one or more processors, to receive a comparison result between an existing first key word search from a first party and a subsequent second key word search from a second party via a network, and to generate a new chat room embedded into a search result web page associated with the second party, when the comparison result indicates no substantial similarity between the first key word search and the second key word search.
Abstract:
The present invention relates to a compound of Formula I, or an isomer, pharmaceutically acceptable salt and solvate thereof; to a composition comprising a compound of Formula I, or an isomer, pharmaceutically acceptable salt and solvate thereof, and a pharmaceutically acceptable carrier, excipient or diluent; and also to use of a compound of Formula I, or an isomer, pharmaceutically acceptable salt and solvate thereof for combating apoptosis, or preventing or treating a disease or disorder associated with apoptosis; and especially use for protecting cardiomyocyte, or preventing or treating a disease or disorder associated with cardiomyocyte apoptosis.
Abstract:
Methods, systems and computer-readable storage medium for determining a crawling schedule. In an aspect, a method includes obtaining crawl history data for a Web site having Web pages, determining a status of the Web pages, determining a total quantity of Web pages that have a status of deleted, calculating a probability that another Web page of the Web site will be removed based on the total quantity, and storing data associating the calculated probability with the Web site. The method can further include determining, for a plurality of sets of the previous time periods, a respective crawl penalty as a combination of a penalty for crawling the Web site and a penalty for showing a deleted Web page based on the calculated probability, and determining a re-crawl schedule based on the crawl penalties.
Abstract:
A method for Tissue Doppler Imaging is provided. The method for Tissue, Doppler Imaging comprises steps of: a) transmitting ultrasound signals to a target area including the tissue to be imaged, and receiving the echo signals returned from the target area; b) performing Doppler estimation on Doppler signals extracted from the echo signals, to acquire Doppler parameters of stationary tissue or nonstationary tissue or blood flow within the target area, wherein the Doppler parameters comprise at least velocity and power; c) processing the acquired power of the Doppler parameters to obtain the power related to the nonstationary tissue within the target area, so as to display the tissue motion.
Abstract:
A computer-implemented method includes providing location factors for first phrases in a collection of phrases, where each location factor for a first phrase is associated with a likelihood that a second phrase of a search query is associated with a location when the first phrase and the second phrase are used in the search query. A search query is received, where the received search query includes a first phrase from the collection of phrases and a second phrase. Whether the second phrase of the received search query refers to a location is determined based, at least in part, on the location factor for the first phrase of the search query.
Abstract:
An agglomerated particle cloud network coated fiber bundle containing a bundle of fibers and an agglomerated particle cloud network. The bundle of fibers contains a plurality of fibers and void space between the fibers. The agglomerated particle cloud network contains a plurality of agglomerated nanoparticles located in at least a portion of the void space in the bundle of fibers. The agglomerated nanoparticles form bridges between adjacent fibers. Between 10 and 100% by number of fibers contain bridges to one or more adjacent fibers within the agglomerated particle cloud network coated fiber bundle. The agglomerated nanoparticles form between about 1 and 60% of the effective cross-sectional area of the agglomerated particle cloud network coated fiber bundle.
Abstract:
A flow cell for a microfluidic device can include a chamber, first microfluidic entry and exit channels, second microfluidic entry and exit channels, a first electrode, and a second electrode. A microfluidic device can include a microfluidic channel, a laser to excite fluorescent material, and a detector to detect fluorescence emission. Methods of merging a droplet from an emulsion in to a second stream of fluid and of detecting a content of a droplet in a stream are further disclosed.
Abstract:
Described is a technology in which a set of objects represent educational entities of an educational model, with relationships between objects. For example, a course object instance may have a relationship with a task instance and a user instance (such as representing a student). Other objects may include user credentials objects, group objects, degree program objects, course plan objects, institution objects, school objects, and/or department objects. The set of objects may be pre-defined and maintained in a persistent storage; this pre-defined set may be extended with an extended object that has relationships with pre-defined objects. The educational entities of an object model may be maintained in rows of a table, with each row having a field that identifies which entity is represented by that row. The table is accessed to determine relationships between an instantiated object for an entity and at least one other instantiated object for another entity.
Abstract:
The invention generally relates to systems and methods for sample analysis. In certain embodiments, the invention provides a system for analyzing a sample that includes a probe including a material connected to a high voltage source, a device for generating a heated gas, and a mass analyzer.
Abstract:
A provisioning machine may receive a request that an application be executed while distributed according to a distribution constraint among various devices. The provisioning machine may access a topological model that represents multiple devices configured as a single cloud-based application server and defines a first group of devices that have the same redundancy status (e.g., active or backup). In addition, the topological model may define a second group of devices that have the same functional role (e.g., executing a particular component of the application). A device may be a member of both the first group and the second group. The provisioning machine may determine a size of the first group according to the distribution constraint. Based on the determined size of the first group, the provisioning machine may configure (e.g., provision) the first group of devices as a subset of the multiple devices of the server.