Abstract: A system includes reception of a user request for a set of data visualizations, execution, in response to the user request, of a main thread to request metadata associated with the set of data visualizations from a remote system, execution of a worker thread to request a set of persisted queries associated with the set of data visualizations from the remote system, to issue the set of persisted queries to the remote system, to receive query results associated with the set of persisted queries from the remote system, and to initiate storage of the query results in a local memory, and execution of the main thread to retrieve the query results stored in the local memory and render the set of data visualizations based on the retrieved query results.

Abstract: Some embodiments provide a program that receives a first selection of a first set of attributes in a first data model, a second selection of a second set of attribute in a second data model, a third selection of a first dimension in the first data model, and a fourth selection of a second dimension in second data model. The program further receives a request for data for a visualization. The program also generates a blend definition based on the first set of attributes, the second set of attributes, the first dimension in the first data model, and the second dimension in the second data model. The program further generates a blended query model based on the blend definition. The program also executes a query based on the blended query model to generate a result set of data. The program provides a visualization that includes the result set of data.

Abstract: Some embodiments provide a program that generates a first query for a first visualization based on a first query model associated with the first visualization. The first query model includes a first reference to a shared object. The program further sends the first query to a computing system. The program also receives from the computing system a first set of data. The program further generates the first visualization based on the first set of data. The program also generates a second query for a second visualization based on a second query model associated with the second visualization. The second query model includes a second reference to the shared object. The program further sends the second query to the computing system. The program also receives from the computing system a second set of data. The program further generates the second visualization based on the second set of data.

Abstract: Wafers that begin as flat surfaces during a semiconductor manufacturing process may become warped or bowed as layers and features are added to an underlying substrate. This warpage may be detected between manufacturing processes by rotating the wafer adjacent to a displacement sensor. The displacement sensor may generate displacement data relative to a baseline measurement to identify areas of the wafer that bow up or down. The displacement data may then be mapped to locations on the wafer relative to an alignment feature. This mapping may then be used to adjust parameters in subsequent semiconductor processes, including adjusting how a carrier head on a polishing process holds or applies pressure to the wafer as it is polished.

Abstract: Antibodies that bind CSF1R are provided. Antibody heavy chains and light chains that are capable of forming antibodies that bind CSF1R are also provided. Polynucleotides encoding antibodies to CSF1R are provided. Polynucleotides encoding antibody heavy chains and lights chains are also provided. Methods of treatment using antibodies to CSF1R are provided. Such methods include, but are not limited to, methods of treating rheumatoid arthritis, bone loss, and multiple sclerosis.

Abstract: A system includes reception of a filter on a first dimension of a first data model, determination of an association between a second dimension of the first data model and a first dimension of a second data model, generation of a calculated dimension based on the second dimension, the rows of the calculated dimension being identical to the rows of the first dimension, application of the filter to the rows of the calculated dimension to generate filtered rows of the calculated dimension, execution of an inner join between the filtered rows of the calculated dimension and a fact table of the second data model to generate a result table including one or more measure values of the second data model, and generation of a visualization including the result table.

Abstract: Antibodies that bind CSF1R are provided. Antibody heavy chains and light chains that are capable of forming antibodies that bind CSF1R are also provided. Polynucleotides encoding antibodies to CSF1R are provided. Polynucleotides encoding antibody heavy chains and lights chains are also provided. Methods of treatment using antibodies to CSF1R are provided. Such methods include, but are not limited to, methods of treating rheumatoid arthritis, bone loss, and multiple sclerosis.

Abstract: Methods of treating conditions with antibodies that bind colony stimulating factor 1 receptor (CSF1R) are provided. Such methods include, but are not limited to, methods of treating rheumatoid arthritis and associated conditions, methods of treating systemic lupus erythematosus and associated conditions, and methods of treating multiple sclerosis.

Abstract: Some embodiments provide execution of a query on a target data model which is filtered on a measure of a source data model, even if the source data model and the target data model are not logically linked. Some embodiments further support execution of a query on a target data model which is filtered on a measure of a source data model and on a dimension filter of another data model. Some embodiments provide for a substantial amount of query execution to occur on the backend, thereby freeing client resources in comparison to prior approaches.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives from a client device a request for data stored in a database categorized based on a hierarchical dimension. The hierarchical dimension is configured to store values from a plurality of values organized in a hierarchy comprising a plurality of levels. The program further generates an intermediary data structure by combining a first set of the data stored in the database and a second set of data based on a level in the hierarchy. The program also generates results for the request by aggregating the data in the intermediary data structure based on the level in the hierarchy. The program further provides the results for the request to the client device.

Abstract: Some embodiments provide execution of a query on a target data model which is filtered on a measure of a source data model, even if the source data model and the target data model are not logically linked. Some embodiments further support execution of a query on a target data model which is filtered on a measure of a source data model and on a dimension filter of another data model. Some embodiments provide for a substantial amount of query execution to occur on the backend, thereby freeing client resources in comparison to prior approaches.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives from a client device a request for data stored in a database categorized based on a calculated dimension. The program further generates the calculated dimension based on a subset of the data stored in the database. The program also generates an intermediary data structure by combining the calculated dimension with the data stored in the database. The program further generates results for the request by aggregating the data in the intermediary data structure based on the calculated dimension. The program also provides the results for the request to the client device.

Abstract: Methods of treating conditions with antibodies that bind colony stimulating factor 1 receptor (CSF1R) are provided. Such methods include, but are not limited to, methods of treating rheumatoid arthritis and associated conditions, methods of treating systemic lupus erythematosus and associated conditions, and methods of treating multiple sclerosis.

Abstract: A system includes reception of a user request for a set of data visualizations, execution, in response to the user request, of a main thread to request metadata associated with the set of data visualizations from a remote system, execution of a worker thread to request a set of persisted queries associated with the set of data visualizations from the remote system, to issue the set of persisted queries to the remote system, to receive query results associated with the set of persisted queries from the remote system, and to initiate storage of the query results in a local memory, and execution of the main thread to retrieve the query results stored in the local memory and render the set of data visualizations based on the retrieved query results.

Abstract: A system includes reception of a filter on a first dimension of a first data model, determination of an association between a second dimension of the first data model and a first dimension of a second data model, generation of a calculated dimension based on the second dimension, the rows of the calculated dimension being identical to the rows of the first dimension, application of the filter to the rows of the calculated dimension to generate filtered rows of the calculated dimension, execution of an inner join between the filtered rows of the calculated dimension and a fact table of the second data model to generate a result table including one or more measure values of the second data model, and generation of a visualization including the result table.

Abstract: A system includes determination of a plurality of queries, each of the plurality of queries indicating a first object as a data source, generation of a first query on the first object based on a first two or more of the plurality of queries, modification of each of the first two or more queries to indicate the first query as the data source, requesting of execution of the first query and the modified first two or more queries, and reception of a result set associated with each of the first two or more queries.

Abstract: Antibodies that bind CSF1R are provided. Antibody heavy chains and light chains that are capable of forming antibodies that bind CSF1R are also provided. Polynucleotides encoding antibodies to CSF1R are provided. Polynucleotides encoding antibody heavy chains and lights chains are also provided. Methods of treatment using antibodies to CSF1R are provided. Such methods include, but are not limited to, methods of treating rheumatoid arthritis, bone loss, and multiple sclerosis.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives from a client device a request for data stored in a database categorized based on a hierarchical dimension. The hierarchical dimension is configured to store values from a plurality of values organized in a hierarchy comprising a plurality of levels. The program further generates an intermediary data structure by combining a first set of the data stored in the database and a second set of data based on a level in the hierarchy. The program also generates results for the request by aggregating the data in the intermediary data structure based on the level in the hierarchy. The program further provides the results for the request to the client device.

Abstract: Antibodies that bind CSF1R are provided. Antibody heavy chains and light chains that are capable of forming antibodies that bind CSF1R are also provided. Polynucleotides encoding antibodies to CSF1R are provided. Polynucleotides encoding antibody heavy chains and lights chains are also provided. Methods of treatment using antibodies to CSF1R are provided. Such methods include, but are not limited to, methods of treating rheumatoid arthritis, bone loss, and multiple sclerosis.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives from a client device a request for data stored in a database categorized based on a calculated dimension. The program further generates the calculated dimension based on a subset of the data stored in the database. The program also generates an intermediary data structure by combining the calculated dimension with the data stored in the database. The program further generates results for the request by aggregating the data in the intermediary data structure based on the calculated dimension. The program also provides the results for the request to the client device.