Abstract: The present application relates to systems and methods for determining at least one target path from a start vertex to a goal vertex within a directed acyclic graph. The systems and methods use a target value search (MFTVS) of a directed acyclic graph. The MFTVS includes beginning with a start vertex as a current prefix and progressing through selected prefixes. The MFTVS further includes determining a selected prefix from successor prefixes of the current prefix according to a selection rule. The selection rule is one of selecting the successor prefix having a highest path value and selecting the successor prefix having a lowest path value. The MFTVS further includes setting the current prefix to the selected prefix until a frontier of a blind spot is encountered. The frontier of the blind spot is defined by an evaluation function.

Abstract: The present invention encompasses compounds of general formula (1) wherein A, B, R1-R3, Rx and n are defined as in claim 1, which are suitable for the treatment of diseases characterised by excessive or abnormal cell proliferation, and their use for preparing a medicament having the above-mentioned properties.

Abstract: The present invention encompasses compounds of general Formula (1) wherein R2, R3, Q, W, X, Y and Z are defined as in claim 1, which are suitable for the treatment of diseases characterised by excessive or abnormal cell proliferation, and the use thereof for preparing a medicament having the above-mentioned properties.

Abstract: A control systems and methods are presented for controlling a production system, in which a model-based planner includes a formulation, such as a SAT formulation representing possible actions in the production, with a solver being used to provide a solution to the formulation based at least partially on production and diagnostic goals and the current plant condition, and a translation component translates the solution into a plan for execution in the plant.

Abstract: The present invention encompasses compounds of general Formula (I) wherein X and R1 to R3 are defined as in claim 1, which are suitable for the treatment of diseases characterised by excessive or abnormal cell proliferation, and the use thereof for preparing a pharmaceutical composition having the above-mentioned properties.

Abstract: A method for monitoring a control loop or a regulating loop in a system, in particular in an engine system in a motor vehicle, is described. A characteristic value is ascertained from a preset value and a system variable of the regulating loop or the control loop during one or more state changes, and an error is detected as a function of the ascertained characteristic value.

Abstract: A prediction tree for estimating values of a network performance measure. Leaf nodes of the prediction tree are associated with networked computing devices and interior nodes are not necessarily representative of physical network connections. Values are assigned to edges in the prediction tree and the network performance measure relative to two computing devices represented by two nodes of the tree is estimated by aggregating the values assigned to the edges in the path in the prediction tree joining the two edges. Mechanisms for adding nodes representing computing devices to the prediction tree, for identifying a closest node representing a computing device in the prediction tree, for identifying a cluster of devices represented by nodes of the tree, and for rebalancing the prediction tree are provided.

Abstract: A rigid backpack that includes at least one compartment and can include an upper compartment (103) that is attached to a lower compartment (101) is described. A top surface (105) of the lower compartment (101) is complementary to a bottom surface (107) of the upper compartment (103) such that the upper compartment (103) stacks on and attaches to the lower compartment (101). A waist strap (123) is attached to the lower compartment (101). Similarly, a right should strap (127) and a left shoulder strap (129) are attached to upper compartment (103).