Abstract: A substantially insoluble compound having a polysaccharide backbone which is derivatised at one or more of its hydroxyl groups with a ligand (L) bound to the sugar moiety by a sulphur atom which may be tailored according to a wide range of applications. The compound is useful as a catalyst and in removal of contaminants from a feed containing particularly metal ions.

Abstract: A machine learning algorithm, such as a random forest regressor, can be trained using a set of annotated data objects to estimate the risk or business value for an object. The feature contributions for each data object can be analyzed and a representation generated that clusters data objects by feature contributions. Any clustering of data objects with incorrect scores in the visualization can be indicative of gaps in the regressor training. Adjustments to the inputs can be made, and the regressor retrained, to eliminate clustering of errors for similar feature contributions. Correcting the risk score estimations can ensure that the appropriate security policies and permissions are applied to each data object.

Abstract: The appropriate scoping of an access policy can be determined using the observed access and usage of various resources covered under that policy. Information about access requests received over a period of time can be logged, and actions represented in the log data can be mapped to the permissions of the access policy. A new access policy can be generated that includes grant permissions only for those actions that were received and/or granted during the monitored period of time. The new policy can be processed using policy logic to ensure that changes in permission comply with rules or policies for the target resources. The new policy can be at least partially implemented, or can be provided to an authorized user, who can choose to adopt or deny the new policy, or to accept some of the recommendations for modifying the current policy.

Abstract: The appropriate scoping of an access policy can be determined using the observed access and usage of various resources covered under that policy. Information about access requests received over a period of time can be logged, and actions represented in the log data can be mapped to the permissions of the access policy. A new access policy can be generated that includes grant permissions only for those actions that were received and/or granted during the monitored period of time. The new policy can be processed using policy logic to ensure that changes in permission comply with rules or policies for the target resources. The new policy can be at least partially implemented, or can be provided to an authorized user, who can choose to adopt or deny the new policy, or to accept some of the recommendations for modifying the current policy.

Abstract: A corpus of documents (and other data objects) stored for an entity can be analyzed to determine one or more topics for each document. Elements of the documents can be analyzed to also assign a risk score. The types of topics and security elements, and the associated risk scores, can be learned and adapted over time using, for example, a topic model and random forest regressor. Activity with respect to the documents is monitored, and expected behavior for a user determined using a trained recurrent neural network. Ongoing user activity is processed to determine whether the activity excessively deviates from the expected user activity. The activity can also be compared against the activity of user peers to determine whether the activity is also anomalous among the user peer group. For anomalous activity, risk scores of the accessed documents can be analyzed to determine whether to generate an alert.

Abstract: A substantially insoluble compound having a polysaccharide backbone which is derivatised at one or more of its hydroxyl groups with a ligand (L) bound to the sugar moiety by a sulphur atom which may be tailored according to a wide range of applications. The compound is useful as a catalyst and in removal of contaminants from a feed containing particularly metal ions.

Abstract: A corpus of documents (and other data objects) stored for an entity can be analyzed to determine one or more topics for each document. Elements of the documents can be analyzed to also assign a risk score. The types of topics and security elements, and the associated risk scores, can be learned and adapted over time using, for example, a topic model and random forest regressor. Activity with respect to the documents is monitored, and expected behavior for a user determined using a trained recurrent neural network. Ongoing user activity is processed to determine whether the activity excessively deviates from the expected user activity. The activity can also be compared against the activity of user peers to determine whether the activity is also anomalous among the user peer group. For anomalous activity, risk scores of the accessed documents can be analyzed to determine whether to generate an alert.

Abstract: A corpus of documents (and other data objects) stored for an entity can be analyzed to determine one or more topics for each document. Elements of the documents can be analyzed to also assign a risk score. The types of topics and security elements, and the associated risk scores, can be learned and adapted over time using, for example, a topic model and random forest regressor. Activity with respect to the documents is monitored, and expected behavior for a user determined using a trained recurrent neural network. Ongoing user activity is processed to determine whether the activity excessively deviates from the expected user activity. The activity can also be compared against the activity of user peers to determine whether the activity is also anomalous among the user peer group. For anomalous activity, risk scores of the accessed documents can be analyzed to determine whether to generate an alert.

Abstract: A corpus of documents (and other data objects) stored for an entity can be analyzed to determine one or more topics for each document. Elements of the documents can be analyzed to also assign a risk score. The types of topics and security elements, and the associated risk scores, can be learned and adapted over time using, for example, a topic model and random forest regressor. Activity with respect to the documents is monitored, and expected behavior for a user determined using a trained recurrent neural network. Ongoing user activity is processed to determine whether the activity excessively deviates from the expected user activity. The activity can also be compared against the activity of user peers to determine whether the activity is also anomalous among the user peer group. For anomalous activity, risk scores of the accessed documents can be analyzed to determine whether to generate an alert.

Abstract: A ballistic laminate structure in sheet form includes first and second pre-annealed nonwoven fabric layers. Each fabric layer is constructed of a loosely assembled array of unidirectionally-oriented, untwisted, high performance fibers. The layers are joined together at an angle to form a dimensionally stable cross-plied fabric.

Abstract: In an embodiment of the present invention, a wide-band spectrum analyzer system uses a combination of components to achieve wide-band spectrum analysis to conduct a spectrum survey to provide an optimum selected frequency for communication. A certain frequency within a band may be identified for a mobile device, such as a cellular telephone or satellite radio system, to receive or transmit communications signals. The spectrum survey may provide a mobile network a number of frequency options. The system for conducting the spectrum survey may be stationary or mobile and may be implemented in hardware, software or a combination of hardware and software.

Abstract: The invention relates to methods, systems and devices for mitigation of bubbles in a micro-fluidic environment. For example, the invention relates to methods, systems and devices for mitigation of bubbles from reagents, solvents, formulations and for improving chemical reactions in micro-fluidic systems, such as for fluorescence detection and polynucleotide sequencing.

Abstract: A liquid storage apparatus provides a safe and easy to use device for efficiently managing liquid reagents used in a variety of laboratory equipment. The liquid storage apparatus helps reduce the likelihood of accidents, allows for flexibility of experimental design, and helps maximize the use of chemical regents to prevent waste. The apparatus includes a plurality of containers with a pierceable septum interface at each end. The apparatus also includes a lower array of needles with each of the lower needles in the lower array of needles arranged to penetrate the bottom pierceable septum of a different one of the containers. The apparatus further includes a piercing device arranged to penetrate the top pierceable septum of a different one of the containers. Each of the piercing devices include a passageway so gas can flow into the pierced container.