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Patients with the immunodeficiency Wiskott-Aldrich syndrome (WAS) frequently develop systemic autoimmunity. Here, we demonstrate that mutation of the WAS gene results in B cells that are hyperresponsive to B cell receptor and Toll-like receptor (TLR) signals in vitro, thereby promoting a B cell-intrinsic break in tolerance. Whereas this defect leads to(More)
SUMMARY Overnutrition activates a proinflammatory program in macrophages to induce insulin resistance (IR), but its molecular mechanisms remain incompletely understood. Here, we show that saturated fatty acid and lipopolysaccharide, two factors implicated in high-fat diet (HFD)-induced IR, suppress macrophage CGI-58 expression. Macrophage-specific CGI-58(More)
The paper describes the OntoNotes, a multilingual (English, Chinese and Arabic) corpus with large-scale semantic annotations, including predicate-argument structure, word senses, ontology linking, and coreference. The underlying semantic model of OntoNotes involves word senses that are grouped into so-called sense pools, i.e., sets of near-synonymous senses(More)
Negative regulation of receptor signaling is essential for controlling cell activation and differentiation. In B-lymphocytes, the down-regulation of B-cell antigen receptor (BCR) signaling is critical for suppressing the activation of self-reactive B cells; however, the mechanism underlying the negative regulation of signaling remains elusive. Using(More)
Sentence correction has been an important and emerging issue in computer-assisted language learning. However, existing techniques based on grammar rules or statistical machine translation are still not robust enough to tackle the common incorrect word order errors in sentences produced by second language learners of Chinese. In this paper, a novel relative(More)
We propose and formally characterize a new problem named the dynamic context coverage problem in capability-constrained mobile sensor network environments. The goal is to move and adjust a network of mobile sensors with limited sensing capabilities to quickly achieve good coverage of dynamic changing contexts and continuously maintain the level of coverage.(More)
Comparable corpora have been shown to be useful in several multilingual natural language processing (NLP) tasks. Many previous papers have focused on how to improve the extraction of parallel data from this kind of corpus on different levels. In this paper, we are interested in improving the quality of bilingual comparable corpora according to increased(More)