Abstract: The present invention relates to a series of compounds having a structural benzothiazole-benzamide core with capacity to inhibit the LRRK2 enzyme, due to which the invention also relates to the use of these compounds for treating neurodegenerative diseases in which this enzyme is involved, such as Parkinson's Disease or Alzheimer's Disease.

Abstract: A method and a device for optimizing the assignation of network activity of a cellular communications network to land areas in a simple and accurate way. This technique allows representing the activity of a cellular network on a set of tiles in a grid covering a certain land area, instead of representing it associated to antenna cells that might or might not overlap. The activity dispersed and assigned to non-overlapping grid tiles is much simpler and clearer to understand and allows visualizing how the network activity is distributed over the space and how it varies along time allowing therefore an efficient network design and management optimization.

Abstract: A method and a device for optimizing the assignation of network activity of a cellular communications network to land areas in a simple and accurate way. This technique allows representing the activity of a cellular network on a set of tiles in a grid covering a certain land area, instead of representing it associated to antenna cells that might or might not overlap. The activity dispersed and assigned to non-overlapping grid tiles is much simpler and clearer to understand and allows visualizing how the network activity is distributed over the space and how it varies along time allowing therefore an efficient network design and management optimization.

Abstract: The method comprises acquiring information from signals exchanged between a user's mobile computing devices and a plurality of Base Transceiver Stations, or BTSs, analyzing said acquired information for determining, over a period of time, the locations of said user's mobile computing device and deduce through a statistical model the points of interest, identifying and labelling at least part of said user's mobile computing device determined locations as points of interest.

Abstract: Disclosed is a method for detecting communities in massive social networks by means of an agglomerative approach in which core communities are built and gradually clustered in an iterative manner into higher level communities until the algorithm converges (a stop condition is met), whereby it becomes possible to easily trace how the communities are being formed, resulting in an easily explainable model that allows the detection of overlapping communities. The disclosed method starts from data representing social interactions between individuals, building a weighted social graph where the vertices represent individuals and the links represent social relationships between individuals.