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Emotion is a feeling that can be expressed by different mediums. Emotion analysis is a key task in NLP which is responsible for judging the emotional tendency of texts. Currently, in a complex multi-semantic environment, it still suffers from poor performance. Traditional methods usually require human intervention, while deep learning always has a trade-off between local and global features. To solve the problem that deep learning models generalize poorly for emotion analysis, this article proposed a semantic-enhanced method called RA-CNN, a classification model under a multi-semantic environment. It integrates CNN for local feature extraction, RNN for global feature extraction, and attention mechanism for feature scaling. As a result, it can acquire the correct meaning of sentences. After experimenting with the hotel review dataset, it has an improvement in positive feeling classification compared with the baseline model (3%~13%), and it showed a competitive performance compared with ordinary deep learning models (~1%). On negative feeling classification, it also performed well close to other models.

This study aimed to explore the role and underlying mechanism of action of Endoplasmic reticulum oxidoreductin-1 L (ERO1L) in lung adenocarcinoma (LUAD).The Gene expression profiling interactive analysis database was used to analyze the expression of ERO1L in LUAD cases. The expression of ERO1L and Wnt2 in LUAD tissue was evaluated using immunohistochemistry. We also used western blotting to assess the expression of ERO1L or Wnt2 and the phosphorylation of β-catenin in LUAD cell lines. Plasmid transfection and small interfering RNA were used for overexpression and knockdown of ERO1L in LUAD cells, respectively. The proliferation, invasion and migration of LUAD cells were analyzed using cell viability, Transwell invasion and wound healing assays. The growth of LUAD tumors in animal models was assessed using tumor xenograft experiments.This study revealed that elevated ERO1L expression was associated with a poor prognosis in LUAD patients. In addition, ERO1L expression was significantly associated with lymph-node metastasis, TNM stage and tumor size. The expression of Wnt2 was positively associated with ERO1L expression in LUAD tissue samples and cell lines. ERO1L overexpression upregulated the expression of Wnt2 and β-catenin phosphorylation in vitro. Additionally, ERO1L was essential for the ubiquitination of Wnt2. Last, ERO1L promoted the proliferation and metastasis of LUAD via the Wnt2 signaling pathway in vitro and in vivo.These findings suggest that ERO1L was highly expressed in LUAD tissue, and it promoted the proliferation and metastasis of LUAD by activating the Wnt2/β-catenin signaling pathway.

BACKGROUND: The intelligent diagnosis of thyroid nodules in ultrasound image is an important research issue. Automatically locating the region of interest (ROI) of thyroid nodules and providing pre-diagnosis results can help doctors to diagnose faster and more accurate. OBJECTIVES: This study aims to propose a model, which can detect multiple nodules stably and accurately in order to avoid missed detection and misjudgment. In addition, the detection speed of the model needs to be fast for real-time diagnosis in ultrasound images. METHODS: Based on the object detection technology, we propose an accurate, robust and high-speed network with multiscale fusion strategy called Efficient-YOLO, which can realize the localization and recognition of nodules at the same time. Finally, multiple metrics are used to measure the diagnostic ability of the model. RESULTS: Experimental results conducted on 3,562 ultrasound images show that our new model greatly increases the accuracy and speed of the detection compared with the baseline model. The best mAP is 92.64%, and the fastest detection speed is 45.1 frames per second. CONCLUSIONS: This study proposed an effective method to diagnosis thyroid nodules automatically, which can meet the real-time requirements, indicating that its effectiveness and feasibility for future clinical application.

One novel ruthenium polypyridyl complex, [Ru(bpy)2(icip)](2+) (1), and two previously reported ruthenium polypyridyl complexes, [Ru(bpy)2(pdppz)](2+) ()2 and [Ru(bpy)2(tactp)](2+) (3) (bpy = 2,2'-bipyridine, icip = 2-(indeno[2,1-b]chromen-6-yl)-1H-imidazo[4,5-f][1,10]phenanthroline, pdppz = phenanthro[4,5-abc]dipyrido[3,2-h:2',3'-j]phenazine, tactp = 4,5,9,18-tetraazachryseno[9,10-b]-triphenylene), have been synthesised. As expected, these complexes show inhibition towards telomerase by inducing and stabilising the G-quadruplex structure, and behave as topoisomerase I/II poisons at the same time. Additionally, the acute and chronic cytotoxicities of the complexes are considered. Furthermore, cell apoptosis experiments are used to briefly study the mechanism. Because studies involving multi-target inhibition towards topoisomerase and telomerase of Ru(II) complexes have not been reported previously, the present research may help to develop innovative chemical strategies and therapies.

Two new trinuclear ruthenium(II) complexes [(bpy)6Ru3(tpbip)]6+ (1) and [(bpy)6Ru3(tptaip)]6+ (2) (bpy = 2,2′-bipyridine, tpbip = 1,3,5-tris(1,10-phenanthroline-[5,6-d]imidazol-2-yl)-benzene, tptaip = 2,4,6-tri(1,10-phenanthroline-[5,6-d]imidazol-2-yl)-1,3,5-triazine) have been synthesized and characterized. The interaction of human telomeric DNA with Ru(II) complexes was explored by means of CD spectroscopy, fluorescence titration, ITC and FRET melting. Results indicated that two complexes not only induce a remarkable conformational change of human telomeric DNA, but also have the ability to stabilize the G-quadruplex.

Two novel ruthenium polypyridyl complexes, Ru[(bpy)2(pedppz)](2+) (1) and Ru[(bpy)2(pemitatp)](2+) (2) (bpy = 2'2-bipyridine, pdeppz = 10-(2-(piperidin-1-yl)ethoxy)dipyrido[3,2-a:2',3'-c]phenazine, pemitatp = 5-methoxy-1-(2-(piperidin-1-yl)ethyl)-isatino[1,2-b]-1,4,8,9-tetraazatriphenylene), bearing large planar π-delocalized aromatic systems with flexible chains have been synthesised and characterised. As expected, these complexes show inhibition towards telomerase by inducing and stabilising the G-quadruplex structure.

A novel ruthenium(II) complex with specific luminescent selectivity towards hybrid G-quadruplex DNA was developed that can easily be distinguished by the naked eye without further treatment.