Abstract: The present application relates to an OLAP pre-calculation model, an automatic modeling method and an automatic modeling system. The model includes a dimension module, an aggregation group module and a measure module. The method includes collecting data statistics on all data sources to obtain data statistics result, conducting query dryrun based on data model and sample queries given by a user to determine a business model, conducting query dryrun on the sample queries and collecting query statistics, carrying out physical modeling and defining dimension, measure and aggregation group of a pre-calculation model, and obtaining a business modeling result and a pre-calculation model. The system includes data statistics module, business model module, query statistics module, and model establishing modules. A more efficient combination of pre-calculated dimensions can be produced and redundant calculation and data storage can be reduced.

Abstract: The automatic modeling method and a classifier for OLAP data model includes acquiring a SQL query statement; parsing the SQL query statement and judging whether any syntax error or lexical error exists in the SQL query statement; extracting query structures from the SQL query statement to obtain at least N sets of query patterns, if no syntax error or lexical error exists; classifying the at least N sets of query patterns; merging the query patterns in each class to obtain a corresponding pattern relation tree; and converting the pattern relation tree into a corresponding data model. The classifier includes a static rule classification module, and a statistical rule and preset learning rule classification module. A data model generated with the method and classifier provided in the present invention supports all inputted SQL query statements and has certain generic capabilities to full support Cube operations and quick queries.

Abstract: The OLAP pre-calculation model and a method for generating pre-calculation result includes a query statement statistical analyzer, a pre-calculation result generator, and a pre-calculation result usage monitor. The method includes: performing statistical analysis on the query statement; judging whether a matching pre-calculation dimension combination exists according to the statistical analysis result; generating a matching pre-calculation dimension combination if no matching pre-calculation dimension combination exists; and obtaining a desired query result according to the matching pre-calculation dimension combination, or querying for a result directly from source data if there are no matching combined dimensions. An optimal dimension combination is obtained by analyzing the query statement, and a pre-calculation result corresponding to the dimension combination is generated dynamically, to improve query efficiency of subsequent queries.

Abstract: The OLAP pre-calculation model and a modeling method includes a query engine, a SQL converter, and a dimension combination storage device. The modeling method includes: acquiring a SQL query statement; parsing the SQL query statement into a corresponding dimension combination; querying for the present dimension combination among built dimension combinations to ascertain whether the present dimension combination exists among the built dimension combinations; logging information on the corresponding dimension combination in the dimension combination storage device, if the present dimension combination doesn't exist; and forming a set of discrete dimension combinations, and building each dimension combination hierarchically according to the correlation among the discrete dimension combinations.

Abstract: In various example embodiments, systems and methods for building data cubes to be stored in a cube store are presented. In some embodiments, a metadata engine generates the cube metadata. In further embodiments, cube data is generated by a cube build engine based on the cube metadata and source data. The cube build engine performs a multi-stage MapReduce job on the source data to produce a multi-dimensional cube lattice having multiple cuboids. In further embodiments, the cube data is provided to the cube store.

Abstract: In various example embodiments, systems and methods for building data cubes to be stored in a cube store are presented. In some embodiments, a metadata engine generates the cube metadata. In further embodiments, cube data is generated by a cube build engine based on the cube metadata and source data. The cube build engine performs a multi-stage MapReduce job on the source data to produce a multi-dimensional cube lattice having multiple cuboids. In further embodiments, the cube data is provided to the cube store.

Abstract: The present invention discloses an anti-tumor conjugate and pharmaceutical composition or kits comprising the conjugate, as well as a method of producing the anti-tumor conjugate. The anti-tumor conjugate of the present invention is metabolically stable in vivo, and is ultimately available for the treatment of tumors and production of anti-tumor medicaments.

Abstract: The present application relates to an OLAP pre-calculation model, an automatic modeling method and an automatic modeling system. The model includes a dimension module, an aggregation group module and a measure module. The method includes collecting data statistics on all data sources to obtain data statistics result, conducting query dryrun based on data model and sample queries given by a user to determine a business model, conducting query dryrun on the sample queries and collecting query statistics, carrying out physical modeling and defining dimension, measure and aggregation group of a pre-calculation model, and obtaining a business modeling result and a pre-calculation model. The system includes data statistics module, business model module, query statistics module, and model establishing modules. A more efficient combination of pre-calculated dimensions can be produced and redundant calculation and data storage can be reduced.

Abstract: An inflatable vehicle incorporating an air cushion is provided. The inflatable vehicle includes a main body defining therein a cavity and configured to be inflated. The vehicle also includes an inflatable, flexible skirt positioned below the main body, the skirt defining therein another cavity and including apertures to allow air to escape. The vehicle also includes a blower configured to blow air, the blower being supported by the main body when inflated. The vehicle also includes a duct system configured to be in fluidic communication with the blower, the cavity of the main body and the cavity of the skirt. The duct system includes valves to control the flow of air from the blower to inflate the main body and subsequently inflate the skirt to form the air cushion.

Abstract: A delivery container equipped with a lock device, temperature regulating device, sensors and a processor is configured to receive and further store goods without the presence of an owner. The owner is notified by a user device when a delivery is made. The door of the delivery container is opened when a valid passcode is entered. The temperature regulating device heats or cools the interior space of the container, whereby the temperature of the interior space may be automatically determined or manually adjusted. A user via a user device can also communicate with the delivery container to send delivery instructions. The processor of the container is configured to calculate cooling and heating rates and controls the overall operations of the delivery container.

Abstract: The invention provides a method for multiple cytokine detection from single cells for the purpose of generating immunological profiles of diseases.

Abstract: In various example embodiments, systems and methods for building data cubes to be stored in a cube store are presented. In some embodiments, a metadata engine generates the cube metadata. In further embodiments, cube data is generated by a cube build engine based on the cube metadata and source data. The cube build engine performs a multi-stage MapReduce job on the source data to produce a multi-dimensional cube lattice having multiple cuboids. In further embodiments, the cube data is provided to the cube store.

Abstract: A portable electronic device includes an earphone jack for receiving an earphone plug, a switch unit and a signal processing unit. The switch unit is connected to the earphone jack and is switchable between a first state and a second state. The signal processing unit is connected to the earphone jack and the switch unit. The signal processing unit is used to identify a type of the earphone plug received in the earphone plug and control the switch unit to switch to either the first state or the second state according to the type of the earphone plug.

Abstract: A portable electronic device includes an earphone jack for receiving an earphone plug, a switch unit and a signal processing unit. The switch unit is connected to the earphone jack and is switchable between a first state and a second state. The signal processing unit is connected to the earphone jack and the switch unit. The signal processing unit is used to identify a type of the earphone plug received in the earphone plug and control the switch unit to switch to either the first state or the second state according to the type of the earphone plug.

Abstract: The present disclosure provides a playing progress indicating method for time-shifted television and a TV set, which can calculate a time value indicated by a program time-shifted progress indicia by use of a time scaling unit and provide a very intuitive time progress indicator for a user. Therefore, the playing progress indicating method for time-shifted television and the TV set of the present disclosure are intuitive and convenient to use.

Abstract: The invention provides a method for multiple cytokine detection from single cells for the purpose of generating immunological profiles of diseases.

Abstract: A debugging module for connecting an IC to a JTAG debugger device includes a JTAG interface, an earphone circuit, a USB interface, a switching unit, and a reset circuit. The earphone circuit is electrically connected to the JTAG interface via the switching unit. The USB interface and the reset circuit are electrically connected to the JTAG interface. When a JTAG debugger device is connected to the earphone circuit and the USB interface, the earphone circuit and the USB interface, respectively, can establish a connection between the JTAG debugger device and the JTAG interface.

Abstract: A debugging module for connecting an IC to a JTAG debugger device includes a JTAG interface, an earphone circuit, a USB interface, a switching unit, and a reset circuit. The earphone circuit is electrically connected to the JTAG interface via the switching unit. The USB interface and the reset circuit are electrically connected to the JTAG interface. When a JTAG debugger device is connected to the earphone circuit and the USB interface, the earphone circuit and the USB interface, respectively, can establish a connection between the JTAG debugger device and the JTAG interface.

Abstract: The present invention discloses an anti-tumor conjugate and pharmaceutical composition or kits comprising the conjugate, as well as a method of producing the anti-tumor conjugate. The anti-tumor conjugate of the present invention is metabolically stable in vivo, and is ultimately available for the treatment of tumors and production of anti-tumor medicaments.

Abstract: Soy derived materials such as soy milk, soy flour, soy concentrates, and soy protein isolates, are deflavored by adjusting the pH of an aqueous composition of such soy derived materials using membrane electrodialysis to a pH of about 9 to about 12 to solubilize the soy proteins and to release the flavoring compounds and thereafter passing the pH-adjusted composition to an ultrafiltration membrane having a molecular weight cutoff up to about 50,000 Daltons under conditions at which the flavoring compounds pass through the membrane, leaving the retained soy material with improved flavor.