Abstract: The invention discloses a method of prenatal diagnosis comprising the step of isolating exosomes from an isolated fluid, wherein the exosomes are identified by biomarker detection. Furthermore, the invention discloses the isolation of exosomes from an isolated fluid and the use of a biomarker, particularly CD24 to isolate exosomes from an isolated fluid.

Abstract: The present invention provides a system for enhancing the decoding performance of text indexes of an indexed collection of text documents. The posting list includes a plurality of list entries being of variable size depending on the value stored in each posting list entry. The inventive system is based on a statistical analysis of the posting list entries of the plurality of list entries. Prior to decoding, the system can select a decoding procedure being appropriate to decode the most frequent type of posting list entries or of a plurality of various posting list entries. After selecting a particular decoding procedure and executing the decoding procedure for decoding of the entire posting list, a failure check is performed. In the exceptional case that a failure has occurred, a second alternative decoding procedure is selected and executed.

Abstract: Provided are techniques for computer-based electronic Information Retrieval (IR). An extended inverted index structure by generating one or more lexical affinities (LA), wherein each of the one or more lexical affinities comprises two or more search items found in proximity in one or more documents in a pool of documents, and generating a posting list for each of the one or more lexical affinities, wherein each posting list is associated with a specific lexical affinity and contains document identifying information for each of the one or more documents in the pool that contains the specific lexical affinity and a location within the document where the specific lexical affinity occurs.

Abstract: A method of enhancing the decoding performance of text indexes of an indexed collection of text documents is disclosed. The posting list includes a plurality of list entries being of variable size depending on the value stored in each posting list entry. The inventive method is base on a statistical analysis of the posting list entries of the plurality of list entries. Prior to decoding, the method selects a decoding routine being appropriate to decode the most frequent type of posting list entries or of a plurality of various posting list entries. After selecting a particular decoding routine and executing the decoding routine for decoding of the entire posting list, a failure check is performed. In the exceptional case that a failure has occurred, a second alternative decoding procedure is selected and executed.

Abstract: A method is described for the diagnosis of an ovarian or endometrial tumor or for a prognosis, characterized in that the L1 level is determined in a patient sample, preferably via an anti L1 antibody, the presence of L1 being an indication of the presence of an ovarian or endometrial tumor or a predisposition for such a tumor. Furthermore, methods for treating of ovarian or endometrial tumors are provided.

Abstract: A method is described for the diagnosis of an ovarian or endometrial tumor or for a prognosis, characterized in that the L1 level is determined in a patient sample, preferably via an anti L1 antibody, the presence of L1 being an indication of the presence of an ovarian or endometrial tumor or a predisposition for such a tumor. Furthermore, methods for treating of ovarian or endometrial tumors are provided.

Abstract: The present invention relates to the anti-L1 monoclonal antibody 9.3 as well as to related antibodies or binding molecules and well as to the uses thereof, especially in tumor treatment.

Abstract: The present invention relates to the use of L1 interfering molecules, especially anti-L1 antibodies, in tumor treatment. Especially, the present invention relates to the use of said L1 interfering molecules in sensitizing tumor cells for the treatment with chemotherapeutic drugs of with radiotherapy and to the combined administration of L1 interfering molecules with chemotherapeutic drugs or with radiotherapy.

Abstract: A method is described for the diagnosis of an ovarian or endometrial tumor or for a prognosis, characterized in that the L1 level is determined in a patient sample, preferably via an anti L1 antibody, the presence of L1 being an indication of the presence of an ovarian or endometrial tumor or a predisposition for such a tumor. Furthermore, methods for treating of ovarian or endometrial tumors are provided.

Abstract: A method for autonomous dynamic voltage (v) and frequency (f) scaling (DVFS) of a microprocessor, wherein autonomous detection of phases of high microprocessor workload and prediction of their duration is performed (PID). The microprocessor frequency (f) will be temporarily increased (LUT) to an appropriate safe value (even beyond its nominal frequency) consistent with technological and ambient constraints in order to improve performance when the computer system comprising the microprocessor benefits most, while during phases of low microprocessor workload its frequency (f) and voltage (v) will be decreased to save energy. This technique exploits hidden performance capabilities and improves the total performance of a computer system without compromising operational stability. No additional hardware such as service processors is needed for contemporary computer systems supporting performance counters and DFVS already.

Abstract: The present invention relates to a method of generating a distributed text index for parallel query processing by a number of nodes. A set of node indices is generated for text indexing a set of documents, each node text index covering a subset of the documents. For each node text index, a local frequency measure for each term of the node text index is calculated on the basis of a frequency of documents containing the term in the subset of the documents of the node. A global frequency measure for each term is calculated on the basis of a frequency of documents containing the term in the set of documents. A quality measure for each node text index is calculated on the basis of the local frequency measures of the terms of the node and the global frequency measure of the terms of the node.

Abstract: The present invention relates to a method of generating a distributed text index for parallel query processing by a number of nodes. A set of node indices is generated for text indexing a set of documents, each node text index covering a subset of the documents. For each node text index, a local frequency measure for each term of the node text index is calculated on the basis of a frequency of documents containing the term in the subset of the documents of the node. A global frequency measure for each term is calculated on the basis of a frequency of documents containing the term in the set of documents. A quality measure for each node text index is calculated on the basis of the local frequency measures of the terms of the node and the global frequency measure of the terms of the node.

Abstract: Described is a pharmaceutical composition comprising a compound(s) interfering with the biological activity of L1 and/or ADAM10 or their expression. Also described is the use of said compound(s) for the prevention/treatment of carcinomas like ovarian and endometrial carcinoma. Finally, the diagnosis of highly malignant forms of carcinomas which is based on the determination of the activity/expression of L1 and/or ADAM10 is described.

Abstract: Provided are techniques for computer-based electronic Information Retrieval (IR). An extended inverted index structure by generating one or more lexical affinities (LA), wherein each of the one or more lexical affinities comprises two or more search items found in proximity in one or more documents in a pool of documents, and generating a posting list for each of the one or more lexical affinities, wherein each posting list is associated with a specific lexical affinity and contains document identifying information for each of the one or more documents in the pool that contains the specific lexical affinity and a location within the document where the specific lexical affinity occurs.

Abstract: A method for the generation of large volumes of text documents comprises the steps of collecting a set of unstructured text documents as training documents and choosing a language model (21). New documents are generated by using the language model and its parameters and by using additional words beyond the words contained in the training documents (25). A n-gram model or a probabilistic deterministic context-free grammar (PCFG) model may be used as language model. For the generation of structured documents a language model for modelling the text is combined with a probabilistic deterministic finite automata (PDFA) for modelling the structure of the documents. The combined model is used to generate new documents from the scratch or by using the results of an analysis of a set of training documents.

Abstract: The present invention provides a method of enhancing the decoding performance of text indexes of an indexed collection of text documents. The posting list includes a plurality of list entries being of variable size depending on the value stored in each posting list entry. The inventive method is based on a statistical analysis of the posting list entries of the plurality of list entries. Prior to decoding, the method selects a decoding routine being appropriate to decode the most frequent type of posting list entries or of a plurality of various posting list entries. After selecting a particular decoding routine and executing the decoding routine for decoding of the entire posting list, a failure check is performed. In the exceptional case that a failure has occurred, a second alternative decoding procedure is selected and executed.

Abstract: The present invention relates to a method of generating a distributed text index for parallel query processing by a number of nodes. A set of node indices is generated for text indexing a set of documents, each node text index covering a subset of the documents. For each node text index, a local frequency measure for each term of the node text index is calculated on the basis of a frequency of documents containing the term in the subset of the documents of the node. A global frequency measure for each term is calculated on the basis of a frequency of documents containing the term in the set of documents. A quality measure for each node text index is calculated on the basis of the local frequency measures of the terms of the node and the global frequency measure of the terms of the node.

Abstract: A method is described for the diagnosis of an ovarian or endometrial tumor or for a prognosis, characterized in that the L1 level is determined in a patient sample, preferably via an anti L1 antibody, the presence of L1 being an indication of the presence of an ovarian or endometrial tumor or a predisposition for such a tumor. Furthermore, methods for treating of ovarian or endometrial tumors are provided.