Abstract: Enabling discretionary data access control in a cloud computing environment can begin with the obtainment of a data request and response message by an access manager service. The response message can be generated by a data storage service in response to the data request. The access manager service can identify owner-specified access rules and/or access exceptions applicable to the data request. An access response can be determined using the applicable owner-specified access rules and/or access exceptions. Both the response message and the access response can indicate the allowance or denial of access to the requested data artifact. The access response can be compared to the response message. If the access response does not match the response message, the response message can be overridden to express the access response. If the access response matches the response message, the response message can be conveyed to the originating entity of the data request.

Abstract: The present invention relates to boosting the activity of crop protection compositions comprising phenyl-substituted tetramic acid derivatives by adding fertilizers, and to corresponding compositions.

Abstract: The invention is applied in a software management system. It comprises an MBean server (2100) which enables the management of Java object e.g. Dynamic MBean by introspecting the Dynamic MBean and providing the result of the introspection in an MbeanInfo object (3108). The invention permits to manage non-MBean object (3106) via the MBean server (2100) and a new object called Automanager (3105). The automanager (3105) inherits the specificities of a Dynamic MBean by implementing a Dynamic MBean interface (3107). Moreover, the Automanager (3105) receives the non-MBean object (3106) as parameter in its constructor. Thus, all management possibilities of a Dynamic MBean are retrieved to render the non-MBean object manageable.

Abstract: Electronic content is filtered to identify spam using image and linguistic processing. A plurality of information type gatherers assimilate and output different message attributes relating to message content associated with an information type. A categorizer may have a plurality of decision makers for providing as output a message class for classifying the message data. A history processor records the message attributes and the class decision as part of the prior history information and/or modifies the prior history information to reflect changes to fixed data and/or probability data. A categorizer coalescer assesses the message class output by the set of decision makers together with optional user input for producing a class decision identifying whether the message data is spam.