The clinical relevance of DNA copy number alterations in chromosome 8 were investigated in oral cancers. The copy numbers of 30 selected genes in 33 OSCC patients were detected using the multiplex ligation-dependent probe amplification (MLPA) technique. Amplifications of the EIF3E gene were found in 27.3% of the patients, MYC in 18.2%, RECQL4 in 15.2% and MYBL1 in 12.1% of patients. The most fr...

We introduced, for Translation Memory System, a statistical framework, which unifies the different phases in a Translation Memory System by letting them constrain each other, and enables Translation Memory System a statistical qualification. Compared to traditional Translation Memory Systems, our model operates at a fine grained sub-sentential level such that it improves the translation coverag...

BACKGROUND Nosocomial Methicillin-resistant Staphylococcus aureus (MRSA) enteritis is rare but can be fatal unless it is detected at an early stage and treated effectively. Dysbiosis of the gut is one of the leading reasons of MRSA enteritis. Fecal microbiota transplantation (FMT) is a burgeoning treatment to rectify this imbalance. But the impact of FMT on MRSA enterocoitis is still unknown ye...

A modified star–ring architecture (MSRA) consisting of a star network on the upper level and many concatenated ring subnets on the lower level is proposed for subcarrier multiplexed passive optical network (SCM-PON). The upper level star network ensures high network capacity and its weakness in reliability is overcome by the concatenated ring subnets with self-healing capabilities. The self-hea...

Fully Convolutional Neural Network (FCN) has been widely applied to salient object detection recently by virtue of high-level semantic feature extraction, but existing FCN-based methods still suffer from continuous striding and pooling operations leading loss spatial structure blurred edges. To maintain the clear edge objects, we propose a novel Edge-guided Non-local FCN (ENFNet) perform edge-g...

Most state-of-the-art models for named entity recognition (NER) rely on recurrent neural networks (RNNs), in particular long short-term memory (LSTM). Those models learn local and global features automatically by RNNs so that hand-craft features can be discarded, totally or partly. Recently, convolutional neural networks (CNNs) have achieved great success on computer vision. However, for NER pr...

We report a high-performance Chinese NER system that incorporates Conditional Random Fields (CRFs) and first-order logic for the fourth SIGHAN Chinese language processing bakeoff (SIGHAN-6). Using current state-of-theart CRFs along with a set of well-engineered features for Chinese NER as the base model, we consider distinct linguistic characteristics in Chinese named entities by introducing va...