Aspect-based sentiment analysis (ABSA) is a fine-grained task, which focuses on detecting the polarity towards aspect in sentence. However, it always sensitive to multi-aspect challenge, where features of multiple aspects sentence will affect each other. To mitigate this issue, we design novel training framework, called Contrastive Cross-Channel Data Augmentation (C3 DA), leverages an in-domain generator construct more samples and then boosts robustness ABSA models via contrastive learning...

Aspect-based sentiment analysis (ABSA), a fine-grained classification task, has received much attention recently. Many works investigate information through opinion words, such as "good'' and "bad''. However, implicit data widely exists in the ABSA dataset, whose polarity is hard to determine due lack of distinct words. To deal with sentiment, this paper proposes an method that integrates explicit augmentations (ABSA-ESA) add more clues. We propose ABSA-specific generation create...

The long non-coding RNAs (lncRNAs) regulating encoding transcripts/genes involved in Wnt signalling pathway keloids is largely unclear. We used a pathway-focused lncRNA microarray to detect the differentiated expression profiles of both lncRNAs and genes pathway, thus total 116 Wnt-targeted 69 Wnt-related aberrantly expressed were initially identified. A stepwise bioinformatics was further performed find skin-related lncRNA/gene pairs keloids. Firstly, an co-expression network with clustered...

Abstract Nanocomposites with varying concentrations of nanosized silicon dioxide particles were prepared by adding nanosilica to interpenetrating polymer networks (IPN)s polyurethane and epoxy resin (PU/EP). The PU/EP IPNs nanocomposites studied dynamic mechanical analysis, scanning electronic microscopy, wide‐angle X‐ray diffraction small‐angle scattering. result showed that nanosize can improve the properties compatibility, damping phase structure IPN matrices. Copyright © 2003 Society...

Text Classification (TC) is a fundamental task in the information retrieval community. Nowadays, mainstay TC methods are built on deep neural networks, which can learn much more discriminative text features than traditional shallow learning methods. Among existing methods, ones based Graph Neural Network (GNN) have attracted attention due to superior performance. Technically, GNN-based mainly transform full training dataset graph of texts; however, they often neglect dependency between...

The single-step assembly of supramolecular complexes containing both i-motifs and G-quadruplexes (G4s) is demonstrated. This can be achieved because the formation four-stranded appears to little affected by certain terminal residues: a five-cytosine tetrameric i-motif bear ten-base flanking residues. However, things become complex when different lengths guanine-repeats are added at 3' or 5' ends cytosine-repeats. Here, series oligomers d(XGiXC5X) d(XC5XGiX) (X = A, T none; i < 5) designed...

Short guanine(G)-repeat and cytosine(C)-repeat DNA strands can self-assemble to form four-stranded G-quadruplexes i-motifs, respectively. Herein, G-rich C-rich with non-G or non-C terminal bases different lengths of G- C-repeats are mixed selectively in pH 4.5 6.7 ammonium acetate buffer solutions studied by electrospray ionization mass spectrometry (ESI-MS). Various strand associations corresponding bi-, tri- tetramolecular ions observed spectra, indicating that the formation quadruplex...

Public health diplomacy is a diplomatic practice that focuses on addressing public crises, such as infectious diseases. It mainly implemented by sovereign states and relies the joint efforts of foreign affairs departments, under leadership coordination international organizations WHO. The purpose to safeguard national interests promote global governance through medical cooperation. has presented new characteristics in 21st century: are more deeply integrated, involving an increasing number...

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Partial multi-label learning (PMLL) refers to a weakly-supervised classification problem, where each instance is associated with set of candidate labels, covering its ground-truth labels but also irrelevant ones. The current methodology PMLL estimate the confidences i.e., likelihood label being one, and induce predictor them, rather than labels. In this paper, we aim precise by leveraging correlations, which are required estimate. To end, propose capture correlations from both measuring...

Various social media platforms, e.g., Twitter and Reddit, allow people to disseminate a plethora of information more efficiently conveniently. However, they are inevitably full misinformation, causing damage diverse aspects our daily lives. To reduce the negative impact, timely identification namely Misinformation Detection (MD), has become an active research topic receiving widespread attention. As complex phenomenon, veracity article is influenced by various aspects. In this paper, we...

The purpose of this study was to evaluate how barium-containing glass filler (BGF) reinforcement and pretreatment methods affect shear bond strength (SBS) poly(ether ether ketone) (PEEK) resin cement. PEEK composites with various amounts BGF (10, 20, 30 40 wt%) were prepared as PEEK-BGF10, PEEK-BGF20, PEEK-BGF30 PEEK-BGF40. Afterward, PEEK-BGF40 specimens treated hydrofluoric acid, sulfuric acid (H 2 SO 4 ), silica coating polishing, respectively. Acrylic hollow cylinders luted Dentex...

To investigate the optimum parameters and mechanical properties of nickel-chromium alloy welded by laser, different laser irradiation power was used to weld dental Nd: YAG apparatus. Mechanical properties, metallographic evaluation scanning electron microscopy (SEM) analysis were evaluate joined samples. The including tensile strength, percentage elongation Vickers microhardness, compared with parent results showed that can be improved simply increasing power. Tensile strengths samples...

Aspect-Based Sentiment Analysis (ABSA) refers to a fine-grained task of detecting the sentiment polarities sentences at aspect level. To resolve this task, training samples ABSA must be annotated with words and corresponding polarities. However, collecting such is expensive time consuming. Therefore available are often scarce. break data scarcity challenge ABSA, we investigate Semi-supervised (SemiABSA), which trains models by using limited amount labeled more unlabeled-yet-cheaper ones. We...

In this work, the effects of konjac glucomannan (KGM) concentrations on microstructure, gel properties, stability and digestibility W/O/W emulsion gels stabilized by whey protein isolate were investigated. Visual appearance indicated that a non-layered double was formed when KGM increased to 0.75%. Emulsion with 1.5% showed highest encapsulation, thermal photochemical due formation smallest droplets, which supported microscopic observations. Moreover, addition improved water holding...

Aspect-based sentiment analysis (ABSA), a fine-grained classification task, has received much attention recently. Many works investigate information through opinion words, such as ''good'' and ''bad''. However, implicit widely exists in the ABSA dataset, which refers to sentence containing no distinct words but still expresses aspect term. To deal with sentiment, this paper proposes an method that integrates explicit augmentations. And we propose ABSA-specific augmentation create...

Dataless text classification, i.e., a new paradigm of weakly supervised learning, refers to the task learning with unlabeled documents and few predefined representative words categories, known as seed words. The recent generative dataless methods construct document-specific category priors by using word occurrences only, however, such often contain very limited even noisy signals. To remedy this problem, in paper we propose novel formulation prior. First, for each document, consider its...