Abstract: The present invention relates to compounds of Formula (I) or pharmaceutically acceptable salts or solvates thereof: It further discloses a pharmaceutical composition comprising the compounds of Formula (I) and their uses, in particular in the treatment of diseases or disorders associated to increased relative to physiological or desired RhoJ/Cdc42 levels of expression or function.

Abstract: The present invention relates to compounds of Formula (Ia) or pharmaceutically acceptable salts, hydrates, solvates, clathrates, polymorphs, stereoisomers thereof. It further discloses a pharmaceutical composition comprising compounds of Formula (Ia) and the use of compounds of Formula (Ib), in particular for the use in the treatment of diseases or disorders wherein disrupting Rad51-BRCA2 interaction is beneficial.

Abstract: The present invention relates to compounds of Formula (I) or pharmaceutically acceptable salts or solvates thereof: It further discloses a pharmaceutical composition comprising the compounds of Formula (I) and their uses, in particular in the treatment of diseases or disorders associated to increased relative to physiological or desired RhoJ/Cdc42 levels of expression or function.

Abstract: The present invention relates to a compound of Formula la, lb and Ic, (Formula Ia) a pharmaceutical composition comprising the same and their use in the treatment or prevention of pathological conditions associated to depolarizing GABAergic transmission including, for example, Down syndrome and autism.

Abstract: The present invention relates to compounds of Formula (I) or pharmaceutically acceptable salts or solvates thereof: It further discloses a pharmaceutical composition comprising the compounds of Formula (I) and their uses, in particular in the treatment of diseases or disorders associated to increased relative to physiological or desired RhoJ/Cdc42 levels of expression or function.

Abstract: The present invention concerns 4-amino-2-pyrido-bicyclic pyrimidines of Formula (I) that function as type II topoisomerase inhibitors and their use thereof as medicaments especially in the treatment of cancer. The invention also provides a method for the manufacture of 4-amino-2-pyrido bicyclic pyrimidines of Formula (I).

Abstract: A decision tree model is generated from sample data. A visualization system may automatically prune the decision tree model based on characteristics of nodes or branches in the decision tree or based on artifacts associated with model generation. For example, only nodes or questions in the decision tree receiving a largest amount of the sample data may be displayed in the decision tree. The nodes also may be displayed in a manner to more readily identify associated fields or metrics. For example, the nodes may be displayed in different colors and the colors may be associated with different node questions or answers.

Abstract: The present invention relates to compounds of Formula (I) or pharmaceutically acceptable salts or solvates thereof: It further discloses a pharmaceutical composition comprising the compounds of Formula (I) and their uses, in particular in the treatment of diseases or disorders associated to increased relative to physiological or desired RhoJ/Cdc42 levels of expression or function.

Abstract: The present invention concerns 4-amino-2-pyrido-bicyclic pyrimidines as type II topoisomerase inhibitors and use thereof as medicaments especially in the treatment of cancer. The invention also provides a method for the manufacture of 4-amino-2-pyrido bicyclic pyrimidines.

Abstract: A system and method enables users to selectively expose and optionally monetize their data resources, for example on a web site. Data assets such as datasets and models can be exposed by the proprietor on a public gallery for use by others. Fees may be charged, for example, per new model, or per prediction using a model. Users may selectively expose public datasets or public models while keeping their raw data private.

Abstract: We describe a high-level computational framework especially well suited to parallel operations on large datasets. In a system in accordance with this framework, there is at least one, and generally several, instances of an architecture deployment as further described. We use the term “architecture deployment” herein to mean a cooperating group of processes together with the hardware on which the processes are executed. This is not to imply a one-to-one association of any process to particular hardware. To the contrary, as detailed below, an architecture deployment may dynamically spawn another deployment as appropriate, including provisioning needed hardware. The active architecture deployments together form a system that dynamically processes jobs requested by a user-customer, in accordance with customer's monetary budget and other criteria, in a robust and automatically scalable environment.

Abstract: A system and method enables users to selectively expose and optionally monetize their data resources, for example on a web site. Data assets such as datasets and models can be exposed by the proprietor on a public gallery for use by others. Fees may be charged, for example, per new model, or per prediction using a model. Users may selectively expose public datasets or public models while keeping their raw data private.

Abstract: We describe a high-level computational framework especially well suited to parallel operations on large datasets. In a system in accordance with this framework, there is at least one, and generally several, instances of an architecture deployment as further described. We use the term “architecture deployment” herein to mean a cooperating group of processes together with the hardware on which the processes are executed. This is not to imply a one-to-one association of any process to particular hardware. To the contrary, as detailed below, an architecture deployment may dynamically spawn another deployment as appropriate, including provisioning needed hardware. The active architecture deployments together form a system that dynamically processes jobs requested by a user-customer, in accordance with customer's monetary budget and other criteria, in a robust and automatically scalable environment.

Abstract: Systems and methods are disclosed for building and using decision trees, preferably in a scalable and distributed manner. Our system can be used to create and use classification trees, regression trees, or a combination of regression trees called a gradient boosted regression tree (GBRT). Our system leverages approximate histograms in new ways to process large datasets, or data streams, while limiting inter-process communication bandwidth requirements. Further, in some embodiments, a scalable network of computers or processors is utilized for fast computation of decision trees. Preferably, the network comprises a tree structure of processors, comprising a master node and a plurality of worker nodes or “workers,” again arranged to limit necessary communications.

Abstract: We describe a high-level computational framework especially well suited to parallel operations on large datasets. In a system in accordance with this framework, there is at least one, and generally several, instances of an architecture deployment as further described. We use the term “architecture deployment” herein to mean a cooperating group of processes together with the hardware on which the processes are executed. This is not to imply a one-to-one association of any process to particular hardware. To the contrary, as detailed below, an architecture deployment may dynamically spawn another deployment as appropriate, including provisioning needed hardware. The active architecture deployments together form a system that dynamically processes jobs requested by a user-customer, in accordance with customer's monetary budget and other criteria, in a robust and automatically scalable environment.

Abstract: A system and method enables users to selectively expose and optionally monetize their data resources, for example on a web site. Data assets such as datasets and models can be exposed by the proprietor on a public gallery for use by others. Fees may be charged, for example, per new model, or per prediction using a model. Users may selectively expose public datasets or public models while keeping their raw data private.

Abstract: (EN) The invention relates to a device for fixing thin elements to facades, particularly thin modular elements made of porcelain or other materials to be fixed to ventilated facades, using suspension sections which are intended to be fixed to the elements made of porcelain or other materials. The invention is characterized in that the suspension sections include a tongue which is shaped and dimensioned such that it can be coupled to the horizontal support section that is fixed to the vertical installation surface.