Jerome Moore

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Clustering techniques have been used by many intelligent software agents in order to retrieve, lter, and categorize documents available on the World Wide Web. Clustering is also useful in extracting salient features of related web documents to automatically formulate queries and search for other similar documents on the Web. Traditional clustering(More)
We present WebACE, an agent for exploring and categorizing documents on the World Wide Web based on a user proole. The heart of the agent is an unsupervised cat-egorization of a set of documents, combined with a process for generating new queries that is used to search for new related documents and for ltering the resulting documents to extract the ones(More)
We propose an agent for exploring and categorizing documents on the World Wide Web based on a user proole. The heart of the agent is an automatic categorization of a set of documents, combined with a process for generating new queries used to search for new related documents and lter-ing the resulting documents to extract the set of documents most closely(More)
A novel recombinant human growth hormone (rhGH) fusion protein (VRS-317) was designed to minimize receptor-mediated clearance through a reduction in receptor binding without mutations to rhGH by genetically fusing with XTEN amino acid sequences to the N-terminus and the C-terminus of the native hGH sequence. Although in vitro potency of VRS-317 was reduced(More)
CONTEXT Somavaratan (VRS-317) is a long-acting form of recombinant human GH under development for children and adults with GH deficiency (GHD). OBJECTIVES To determine the optimal somavaratan dose regimen to normalize IGF-1 in pediatric GHD and to evaluate safety and efficacy of somavaratan over 6 months. DESIGN Open-label, multicenter, single ascending(More)
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