Abstract: The present invention relates to anti-human CD200R agonist antibodies, and uses thereof for treating diseases such as atopic dermatitis, chronic spontaneous urticaria, allergy, asthma, scleroderma, IBD, SLE, MS, RA, GvHD, or psoriasis.

Abstract: A computer-implemented method includes identifying a bad fix to a software product, where the software product includes a plurality of parts, and where the bad fix presents an error into a first part. A plurality of fixes to the software product, including the bad fix, are representable by a dependency graph indicating dependencies among the plurality of fixes. The dependency graph is recursively traversed to identify a subset of fixes that are dependent on the bad fix, where each fix in the subset of fixes includes a respective set of parts, and to add a reference to a respective most recent version of each part of each fix in the subset of fixes to a parts datastore. A remedial part and each part referenced in the parts datastore are packaged into a remedial fix, where the remedial part includes a correction to the error in the first part.

Abstract: The present invention relates to anti-human CD200R agonist antibodies, and uses thereof for treating diseases such as atopic dermatitis, chronic spontaneous urticaria, allergy, asthma, scleroderma, IBD, SLE, MS, RA, GvHD, or psoriasis.

Abstract: A method and system for processing a plurality of unordered software patches for one or more computer readable software programs configured to be executed in a computer system. The unordered software patches are obtained. The unordered software patches include relationship information for defining a relationship the unordered software patches have with a second software patch. For each unordered software patch, the relationship information of the unordered software patch is analyzed to determine the relationship the unordered software patch has with the second software patch. An entry for each unordered software patch is stored in a relationship data store in the data processing system or computer system. The entry comprises dependency data representative of the determined relationship the unordered software patch has with the second software patch. The unordered software patches are ordered based on the dependency data in the relationship data store.

Abstract: A computer-implemented method includes identifying a bad fix to a software product, where the software product includes a plurality of parts, and where the bad fix presents an error into a first part. A plurality of fixes to the software product, including the bad fix, are representable by a dependency graph indicating dependencies among the plurality of fixes. The dependency graph is recursively traversed to identify a subset of fixes that are dependent on the bad fix, where each fix in the subset of fixes includes a respective set of parts, and to add a reference to a respective most recent version of each part of each fix in the subset of fixes to a parts datastore. A remedial part and each part referenced in the parts datastore are packaged into a remedial fix, where the remedial part includes a correction to the error in the first part.

Abstract: The present invention relates to anti-human CD200R agonist antibodies, and uses thereof for treating diseases such as atopic dermatitis, chronic spontaneous urticaria, allergy, asthma, scleroderma, IBD, SLE, MS, RA, GvHD, or psoriasis.

Abstract: A method and system for processing a plurality of unordered software patches for one or more computer readable software programs configured to be executed in a computer system. The unordered software patches are obtained. The unordered software patches include relationship information for defining a relationship the unordered software patches have with a second software patch. For each unordered software patch, the relationship information of the unordered software patch is analyzed to determine the relationship the unordered software patch has with the second software patch. An entry for each unordered software patch is stored in a relationship data store in the data processing system or computer system. The entry comprises dependency data representative of the determined relationship the unordered software patch has with the second software patch. The unordered software patches are ordered based on the dependency data in the relationship data store.

Abstract: A data receiver module receives, at a storage device simulator, a data transmission from a storage controller being tested. The data transmission includes data and metadata. The metadata is associated with the data. A signature receiver module receives a signature from the storage controller as part of the data transmission. The signature is used to distinguish the metadata from the data. A data/metadata determination module examines the data transmission and determines data from metadata using the signature. A metadata storage module stores the metadata of the data transmission on the storage device simulator in response to the data transmission including metadata. The data storage simulator includes a data storage device. A data discard module discards the data of the data transmission in response to the data transmission including data.

Abstract: A data receiver module receives, at a storage device simulator, a data transmission from a storage controller being tested. The data transmission includes data and metadata. The metadata is associated with the data. A signature receiver module receives a signature from the storage controller as part of the data transmission. The signature is used to distinguish the metadata from the data. A data/metadata determination module examines the data transmission and determines data from metadata using the signature. A metadata storage module stores the metadata of the data transmission on the storage device simulator in response to the data transmission including metadata. The data storage simulator includes a data storage device. A data discard module discards the data of the data transmission in response to the data transmission including data.