Abstract: A method and apparatus for replicating a data container of a source storage server at the logical level in an unordered stream of individual data units are described. In certain embodiments, the replication operations can be performed without regard to the differences in geometry of physical persistent storage of the source and destination storage servers and without regard to the differences in data container format of the source and destination storage servers. An initial replication operation of the source data container is performed by transferring the data objects within the source data container to a replica data container in the destination storage server as an unordered stream of individual data units while preserving data object identifiers of the source data objects. Afterwards, incremental replication operations can be performed to capture modifications to the source data container over time after the initial replication operation.

Abstract: Provided is a Group 9 novel metal catalyst complex further comprising a ketone-containing cocatalyst. The metal catalyst complex is useful in generating olefins from alkanes with great efficiency. In one embodiment, provided is an iridium catalyst complex useful in the dehydrogenation of alkanes comprising a ketone-containing cocatalyst and iridium complexed with a tridentate ligand. Also provided is a novel dehydrogenation method which utilizes the catalyst composition. In other embodiments, a novel process for preparing oligomers from alkanes utilizing the catalyst composition is provided.

Abstract: Methods of using a biological sample collection device comprising a collection portion and a body portion, the body portion including a holding portion for holding a biological sample storage medium, and a sample transfer means, such as a cover. The collection portion can be arranged in a first position separated from the body portion for collecting a sample, and in a second position at least partly between the sample transfer means and the holding portion, with the sample transfer means being operable to push the collection portion towards a position at which the holding means is arranged to hold the biological sample storage medium, enabling a sample held in the collection portion to be transferred to the latter.

Abstract: Artificial Immune Systems (AIS) including the Dendritic Cell Algorithm (DCA) are an emerging method to detect malware in computer systems. An implementation of the DCA may detect anomalous behavior in various processes of a device or devices. Unlike previous approaches, the DCA implementation may use an inflammation signal to communicate information among the processes of device or a network, where the inflammatory signal indicates a likelihood that a process has been attacked by malicious software.

Abstract: Artificial Immune Systems (AIS) including the Dendritic Cell Algorithm (DCA) are an emerging method to detect malware in computer systems. A DCA module may receive an output or signal from multiple indicators concerning the state of at least a portion of the system. The DCA module is configured to combine the plurality of signals into a single signal vector. The DCA module may be configured to sort the received signals based on signal type and magnitude of each signal. The DCA module may then use a decay factor to weight the received signals so that a large number of “nominal” signals do not drown out a small number of “strong” signals indicating a malware attack. The decay factor may be exponentially increased each time it is applied so that all received signals are considered by the DCA module, but so that the “nominal” signals may have a minimal effect.

Abstract: A method for biometric identification for use with a computing device is provided herein. The method includes capturing a temporal sequence of images of the face of a user at different locations within a three-dimensional interaction space. The method further includes extracting one or more face descriptors from the images and generating a biometric template compiling the face descriptors.

Abstract: Nucleic acid agents for reducing or removing infestations of the Varroa destructor mite are described. Compositions comprising the nucleic acid agents and methods for controlling mite infestations using the nucleic acid agents and compositions are also disclosed.

Abstract: Methods of using a biological sample collection device comprising a collection portion and a body portion, the body portion including a holding portion for holding a biological sample storage medium, and a sample transfer means, such as a cover. The collection portion can be arranged in a first position separated from the body portion for collecting a sample, and in a second position at least partly between the sample transfer means and the holding portion, with the sample transfer means being operable to push the collection portion towards a position at which the holding means is arranged to hold the biological sample storage medium, enabling a sample held in the collection portion to be transferred to the latter.

Abstract: Various embodiments of a system and method for tracking service requests are described. Embodiments may include call tree generation logic configured to receive multiple request identifiers associated with a respective one of multiple service requests. Each given request identifier may include an origin identifier, a depth value, and a request stack comprising one or more interaction identifiers. The call tree generation logic may also be configured to, based on multiple request identifiers that each include an origin identifier associated with a particular root request, generating a data structure that specifies a hierarchy of services called to fulfill that particular root request. Based on one or more of the interaction identifiers and one or more of the depth values, the generated data structure may specify for each given service of the hierarchy: a parent service that called the given service, and one or more child services called by the given service.

Abstract: A broker may be used as an intermediary to exchange messages between producers and consumers. The broker may store and dispatch messages from a physical queue stored in a persistent memory. More specifically, the broker may enqueue messages to the physical queue that are received from producers and may dispatch messages from the physical queue to interested consumers. The broker may further utilize one or more logical queues stored in transient memory to track the status of the messages stored in persistent memory. As messages are dispatched to and acknowledged by interested consumers, the broker deletes acknowledged messages from the physical queue. The messages deleted are those preceding a physical ACKlevel pointer that specifies the first non-acknowledged message in the physical queue. The physical ACKlevel pointer is advanced in the physical queue based on the relative position of corresponding logical ACKlevel pointers maintained by the logical queues.

Abstract: A controlled transfer biological sample material collection device is disclosed which comprises: a body; and a sample collection member for collecting the biological sample material (not shown), the body housing a sample storage medium for generally dry storage of the biological material, the collection member being moveable from an exposed position (shown in FIG. 8) where collection of a biological sample is possible, to a transfer position (shown in FIG. 9) which effects transfer of at least a portion of the collected sample to said medium. The device is characterised in that the body slideably supports the sample collection member, and in that the body or collection member include a ramp-like projection portion (116 FIG. 10) operable to force the collection member into the transfer position against the medium and to effect said transfer as the collection member slides within the body.

Abstract: Disclosed is a microfluidic device including a reagent supply apparatus comprising: a solid support 12 formed preferably from cellulose fibrous material having a porosity which allows liquid flow through the material; at least one generally dry reagent 16 stored on a surface of the support at a regent location or locations; the support further being suitable for storing biological sample material 17 in a dry state at a sample location or locations, spaced from the reagent location or locations.

Abstract: Artificial Immune Systems (AIS) including the Dendritic Cell Algorithm (DCA) are an emerging method to detect malware in computer systems. The DCA implementation may use an inflammation signal to communicate information among the processes of device or a network or among nodes of a network, where the inflammatory signal indicates a likelihood that a process or a node has been attacked by malicious software. The DCA implementation may dynamically change the malware sensitivity and responsiveness based on the inflammation signals without requiring user intervention. The inflammatory signal includes one or more inflammatory tuples, which may include multiple components such as a strength, a PrimeIndicator, and an optional third element, p. The strength component may be an indication of the magnitude of an attack and provide a degree of certainty of the attack. The PrimeIndicator may be an identifier of the indicator type that is the source of the inflammation tuple.

Abstract: Artificial Immune Systems (AIS) including the Dendritic Cell Algorithm (DCA) are an emerging method to detect malware in computer systems. An implementation of the DCA may detect anomalous behavior in various embedded network systems. Unlike previous approaches, the DCA implementation may use an inflammation signal to communicate information among the nodes of a distributed or centralized network, where the inflammatory signal indicates a likelihood to the connected nodes that a local node has been attacked by malicious software.

Abstract: Various embodiments of a system and method for tracking service requests are described. Embodiments may include call tree generation logic configured to receive multiple request identifiers associated with a respective one of multiple service requests. Each given request identifier may include an origin identifier, a depth value, and a request stack comprising one or more interaction identifiers. The call tree generation logic may also be configured to, based on multiple request identifiers that each include an origin identifier associated with a particular root request, generating a data structure that specifies a hierarchy of services called to fulfill that particular root request. Based on one or more of the interaction identifiers and one or more of the depth values, the generated data structure may specify for each given service of the hierarchy: a parent service that called the given service, and one or more child services called by the given service.

Abstract: A controlled transfer biological sample material collection device is disclosed comprising: a body 12 housing a sample storage medium (30 FIG. 2a) for generally dry storage of the biological material, the body including a lid portion 40 operable to provide at least open and closed positions for generally respectively exposing or covering said storage medium; and a sample collection member 20 supported on the body for collecting the biological sample material, the collection member being pivotable from a first exposed position where collection of a biological sample is possible (FIG. 1a), to a second transfer position (FIG. 3a) which effects transfer of at least a portion of the collected sample onto said medium, the device being characterised in that the lid portion includes a receiver (44 FIG. 6a) for holding the sample collector when said lid is in the closed position.

Abstract: Artificial Immune Systems (AIS) including the Dendritic Cell Algorithm (DCA) are an emerging method to detect malware in computer systems. A DCA module may receive an output or signal from multiple indicators concerning the state of at least a portion of the system. The DCA module is configured to combine the plurality of signals into a single signal vector. The DCA module may be configured to sort the received signals based on signal type and magnitude of each signal. The DCA module may then use a decay factor to weight the received signals so that a large number of “nominal” signals do not drown out a small number of “strong” signals indicating a malware attack. The decay factor may be exponentially increased each time it is applied so that all received signals are considered by the DCA module, but so that the “nominal” signals may have a minimal effect.

Abstract: A controlled transfer biological sample material collection device is disclosed which includes a body and a sample collection member for collecting the biological sample material, the body housing a sample storage medium for generally dry storage of the biological material, the collection member being moveable from an exposed position where collection of a biological sample is possible, to a transfer position which effects transfer of at least a portion of the collected sample to said medium. The body of the device slideably supports the sample collection member, and the body or collection member includes a ramp-like projection portion operable to force the collection member into the transfer position against the medium and to effect the transfer as the collection member slides within the body.

Abstract: Artificial Immune Systems (AIS) including the Dendritic Cell Algorithm (DCA) are an emerging method to detect malware in computer systems. The DCA implementation may use an inflammation signal to communicate information among the processes of device or a network or among nodes of a network, where the inflammatory signal indicates a likelihood that a process or a node has been attacked by malicious software. The DCA implementation may dynamically change the malware sensitivity and responsiveness based on the inflammation signals without requiring user intervention. The inflammatory signal includes one or more inflammatory tuples, which may include multiple components such as a strength, a PrimeIndicator, and an optional third element, p. The strength component may be an indication of the magnitude of an attack and provide a degree of certainty of the attack. The PrimeIndicator may be an identifier of the indicator type that is the source of the inflammation tuple.

Abstract: Provided is a novel iridium catalyst complex which is useful in the dehydrogenation of alkanes. The iridium complex comprises the metal iridium atom complexed with a benzimidazolyl-containing ligand. The iridium atom can be coordinated with the nitrogen atoms in the benzimidazolyl-containing ligand to form an NCN pincer ligand complex. In another embodiment, the iridium catalyst is used, with or without a co-catalyst, in a dehydrogenation reaction converting alkanes to olefins. The reaction can be in a closed or open system, and can be run in a liquid or gaseous phase.