Abstract: The invention provides a novel class of compounds of Formula (I) (wherein A, Y, R2, R3, R4 and R5 are defined in the summary of the invention), pharmaceutical compositions comprising such compounds and methods of using such compounds to treat or prevent diseases or disorders associated with abnormal or deregulated kinase activity, particularly diseases or disorders that involve abnormal activation of B-Raf.

Abstract: In accordance with embodiments of the present disclosure, a method may include sorting potential optical layer link failures in a network in an increasing order of failed traffic amount. The method may further include, for each potential optical link failure in increasing order of failed traffic amount: determining the additional higher layer link capacity required on existing higher layer links associated with the potential optical link failure using higher layer restoration of the potential optical link failure; determining the additional optical layer capacity required for restoring the existing higher layer links associated with the potential optical link failure using optical layer restoration; and selecting one of the higher layer and the optical layer as a restoration layer for restoration of the existing higher layer links associated with the potential optical link failure based on the determined additional higher layer link capacity and the determined additional optical layer capacity.

Abstract: Incremental training data is used to supplement a trained model to provide personalized recommendations for a user. The personalized recommendations can be made by taking into account the user's behavior, such as, without limitation, the user's short and long term web page interactions, to identify item recommendations. A trained model is generated from training data indicative of the web page interaction data collected from a plurality of users. Incremental training data indicative of other web page interaction data can be used to supplement the trained model, or in place of the trained model. Incremental training data can be indicative of user behavior collected more recently than the data used to train the model, for example.

Abstract: In certain embodiments, minimizing interconnections in a multi-shelf switching system includes receiving a map describing the switching system, where the switching system comprises shelves and input/output (I/O) points. The map is transformed to yield a graph comprising nodes and edges. A node represents an I/O point, and a node weight represents a number of interface cards of the I/O point represented by the node. An edge between a node pair represents traffic demand between the I/O points represented by the node pair, and an edge weight represents the amount of the traffic demand represented by the edge. The graph is partitioned to yield a groups that minimize interconnection traffic among the shelves, where each group represents a shelf of the multi-shelf switching system.

Abstract: A method may include constructing an auxiliary graph for a network comprising a plurality of network elements, the network elements having an Internet Protocol layer, a lower layer, and a wavelength layer, the auxiliary graph including a plurality of directed edges, the plurality of directed edges indicative of connectivity of components of the plurality of network elements. The method may further include: (i) deleting directed edges from the auxiliary graph whose available bandwidth is lower than the required bandwidth of a selected demand; (ii) finding a path for the demand on the auxiliary graph via remaining directed edges; (iii) deleting at least one directed edge of the auxiliary graph on the wavelength layer along the path; (iv) adding lower layer lightpath edges to the auxiliary graph for a lower layer lightpath for the path; and (v) converting lower layer lightpaths to Internet Protocol lightpaths if a conversion condition is satisfied.

Abstract: A system and method are provided for monitoring traffic in a network comprising a plurality of links, wherein each of the plurality of links comprises a plurality of neighboring pairs of slots. The system and method may include identifying a first usage status and a second usage status, calculating a utilization entropy value based at least on the difference between the first and second usage status, iteratively calculating a set of utilization entropy values for a portion of the network, and calculating an overall utilization entropy value for the portion of the network under analysis based at least on a statistical analysis of the set of utilization entropy values.

Abstract: Incremental training data is used to supplement a trained model to provide personalized recommendations for a user. The personalized recommendations can be made by taking into account the user's behavior, such as, without limitation, the user's short and long term web page interactions, to identify item recommendations. A trained model is generated from training data indicative of the web page interaction data collected from a plurality of users. Incremental training data indicative of other web page interaction data can be used to supplement the trained model, or in place of the trained model. Incremental training data can be indicative of user behavior collected more recently than the data used to train the model, for example.

Abstract: In accordance with some embodiments of the present disclosure a method for shared mesh protection in an optical transport network comprises provisioning a route for each of a plurality of working demands through the optical transport network. The method further comprises provisioning a route for backup demands corresponding to each of the plurality of working demands. The method additionally comprises packing into a single optical data unit a first backup demand corresponding to a first of the plurality of working demands and a second backup demand corresponding to a second of the plurality of working demands, wherein the first and second of the plurality of working demands share at least one common link in the optical transport network. The method also comprises unpacking the first and second backup demands from the optical data unit.

Abstract: In accordance with embodiments of the present disclosure, a method may include determining individual spectrum requirements for each of a plurality of signals to be communicated in an optical network, wherein a first signal of the plurality of signals has a first spectrum requirement and a second signal of the plurality of signals has a second spectrum requirement. The method may also include calculating a minimum spectrum granularity based on the individual spectrum requirements. The method may further include assigning each particular signal a channel spectrum equal to an integer multiple of the minimum spectrum granularity.

Abstract: The present invention provides compounds of Formula I or II: wherein R1, R1b, R2, R3, R4, R5, R6 and R7 are defined herein. The compounds of Formula (I) or (II) and pharmaceutical compositions thereof are useful for the treatment of B-Raf-associated diseases.

Abstract: The present invention provides compounds of Formula I or II: wherein R1, R1b, R2, R3, R4, R5, R6 and R7 are defined herein. The compounds of Formula (I) or (II) and pharmaceutical compositions thereof are useful for the treatment of B-Raf-associated diseases.

Abstract: Systems and methods for finding related terms based on three different sources are disclosed. Generally, a first plurality of distances is determined based on one or more received terms and a first plurality of terms derived from an algorithmic search list. A second plurality of distances is determined based on the one or more received terms and a second plurality of terms derived from a sponsored search list. A third plurality of distances is determined based on the one or more received terms and a third plurality of terms derived from search logs. The first, second, and third pluralities of distances are combined to derive a fourth plurality of distances. Finally, a plurality of related terms related to the one or more received terms is generated based on the fourth plurality of distances.

Abstract: The invention provides a novel class of compounds, pharmaceutical compositions comprising such compounds and methods of using such compounds to treat or prevent diseases or disorders associated with abnormal or deregulated kinase activity, particularly diseases or disorders that involve abnormal activation of the Abl, ARG, BCR-Abl, BRK, EphB, Fms, Fyn, KDR, c-Kit, LCK, PDGF-R, b-Raf, c-Raf, SAPK2, Src, Tie2 and TrkB kinases.

Abstract: A method may include constructing an auxiliary graph for a network comprising a plurality of network elements, the network elements having an Internet Protocol layer, a lower layer, and a wavelength layer, the auxiliary graph including a plurality of directed edges, the plurality of directed edges indicative of connectivity of components of the plurality of network elements. The method may further include: (i) deleting directed edges from the auxiliary graph whose available bandwidth is lower than the required bandwidth of a selected demand; (ii) finding a path for the demand on the auxiliary graph via remaining directed edges; (iii) deleting at least one directed edge of the auxiliary graph on the wavelength layer along the path; (iv) adding lower layer lightpath edges to the auxiliary graph for a lower layer lightpath for the path; and (v) converting lower layer lightpaths to Internet Protocol lightpaths if a conversion condition is satisfied.

Abstract: A system and method are provided for dynamically reconfiguring an optical circuit between a first node and a second node of a communication network. The system and method may include establishing a scheduling window for receiving a plurality of optical traffic demands, classifying the plurality of optical traffic demands into at least a set of bandwidth adjustable demands and a set of fixed bandwidth demands, provisioning a first set of provisioned wavelengths from the plurality of wavelengths to carry the set of fixed bandwidth demands during the scheduling window, allocating the bandwidth remaining on the first set of provisioned wavelengths to the set of bandwidth adjustable demands, and if necessary, provisioning a second set of provisioned wavelengths from the plurality of wavelengths to carry the bandwidth required by the set of bandwidth adjustable demands that could not be allocated to the first set of provisioned wavelengths.

Abstract: According to particular embodiments, determining disjoint paths includes receiving a graph representing a network comprising nodes and links. The graph is transformed such that the number of intermediate nodes of a path indicates the number of regenerators for the path. A set of seed paths from a source node to a destination node of the transformed graph is generated. For each seed path, a shortest path from the source node to the destination node is determined to yield one or more pairs of disjoint paths from the source node to the destination node. An optimized pair of disjoint paths is selected, where the optimized pair of disjoint paths has an optimized number of regenerators.

Abstract: Novel imidazole compounds of the general formula are disclosed, wherein R1 and R2 comprise heteroaryl groups. These compounds and compositions containing them are useful in methods to treat Raf kinase-mediated disorders such as cancer.

Abstract: The present invention provides kits and microarrays containing primer pairs for amplifying drug resistance genes and/or probes for detection of drug resistance genes. Also provided are methods of detecting drug resistance genes using kits and microarrays described herein.

Abstract: The present invention provides techniques for use in association with online advertising, relating to use of serving thresholds, associated with predicted click through rates, and delivery policies, associated with advertising inventory serving and distribution. An offline-trained machine learning-based model may be utilized in advertising serving decision-making in connection with serving opportunities. However, serving thresholds and delivery policies, for use in association with the model in serving decision-making, may be adjusted online, such as in real-time or near real-time, based on information obtained online affecting factors such as predicted click through rates and advertising inventory distribution.

Abstract: Systems and methods for determining multiple paths in a multi-domain network are provided. In some embodiment, a method for determining multiple paths in a network is provided. The method may include determining a first path between a source node and a destination node and determining a second path disjoint from the first path. In some embodiments, to determine the second path includes determining which ingress nodes are available in a domain that includes the destination node, where the available ingress nodes are not part of the first path, and implementing a disjoint path algorithm for each of the available ingress nodes. To determine the first path includes implementing forward path calculations.