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Neural Machine Translation (NMT) is an end-to-end learning approach for automated translation, with the potential to overcome many of the weaknesses of conventional phrase-based translation systems. Unfortunately, NMT systems are known to be computationally expensive both in training and in translation inference – sometimes prohibitively so in the case of(More)
Recent advances in communication, computation, and embedded technologies support the development of cooperative multivehicle systems [1]. For the purposes of this article, we adopt the following definition of cooperative behavior [2]: “Given some task specified by a designer, a multiple-robot system displays cooperative behavior if, due to some underlying(More)
This paper presents a survey of identity management from the perspectives of development stages and functions variety of Identity Management. The definition and core concepts of identity and identity management have been discussed deeply. Identity Management models including isolated model, centralized model, and federated model are grouped by components(More)
We present Joshua 4.0, the newest version of our open-source decoder for parsing-based statistical machine translation. The main contributions in this release are the introduction of a compact grammar representation based on packed tries, and the integration of our implementation of pairwise ranking optimization, J-PRO. We further present the extension of(More)
This study is designed to investigate the protection of tanshinone IIA (TSIIA) against atherosclerosis in apolipoprotein E deficient (ApoE(-/-)) mice and to explore the mechanisms by focusing on the expressions of scavenger receptors, scavenger receptor-A (SR-A) and CD36. The in vivo study demonstrated that TSIIA (10-90mg/kg) inhibited the atherosclerotic(More)
Endocrine resistance is a major obstacle to hormonal therapy for breast cancers. Although reduced expression of estrogen receptor-α (ER-α) is a known contributing factor to endocrine resistance, the mechanism of ER-α downregulation in endocrine resistance is still not fully understood. Here we report that CUE domain-containing protein-2 (CUEDC2), a(More)
Estrogen has well-documented neuroprotective effects in a variety of clinical and experimental disorders of the CNS, including autoimmune inflammation, traumatic injury, stroke, and neurodegenerative diseases. The beneficial effects of estrogens in CNS disorders include mitigation of clinical symptoms, as well as attenuation of histopathological signs of(More)
The translation of basic research into improved therapies for breast cancer patients requires relevant preclinical models that incorporate spontaneous metastasis. We have completed a functional and molecular characterisation of a new isogenic C57BL/6 mouse model of breast cancer metastasis, comparing and contrasting it with the established BALB/c 4T1 model.(More)
Background. Laboratory data suggests a reduction of Faecalibacterium prausnitzii (F. prausnitzii) is confirmed both in fecal samples in inflammatory bowel disease (IBD) patients. Numerous observational studies have suspected dysbiosis, an imbalance between protective and harmful bacteria to be relevant to the etiology and pathogenesis of IBD. Methods.(More)
MicroRNAs (miRNAs) play an essential role in breast malignant tumor development and progression. The development of clinically validated biomarkers for primary breast cancer (BC) has remained an insurmountable task despite other advances in the field of cancer molecular biology. The objective of this study is to investigate the differential expression of(More)