Heterogeneous information networks (HINs) are ubiquitous in real-world applications. In the meantime, network embedding has emerged as a convenient tool to mine and learn from networked data. As result, it is of interest develop HIN methods. However, heterogeneity HINs introduces not only rich but also potentially incompatible semantics, which poses special challenges learning HINs. With intention preserve yet embedding, we propose study problem comprehensive transcription heterogeneous...

The molecular mechanism to regulate energy balance is not completely understood. Here we observed that Egr-1 expression in white adipose tissue (WAT) was highly correlated with dietary-induced obesity and insulin resistance both mice humans. null were protected from diet-induced obesity-associated pathologies such as fatty liver, resistance, hyperlipidemia hyperinsulinemia. This phenotype can be largely explained by the increase of expenditure mice. Characterization these revealed FOXC2 its...

Aspect-based sentiment analysis of review texts is great value for understanding user feedback in a fine-grained manner. It has general two sub-tasks: (i) extracting aspects from each review, and (ii) classifying aspect-based reviews by polarity. In this paper, we propose weakly-supervised approach analysis, which uses only few keywords describing aspect/sentiment without using any labeled examples. Existing methods are either designed one the sub-tasks, or based on topic models that may...

Objective: To compare the differences between clinical characteristics, therapeutic management, and prognosis of mycoplasma pneumonia (MP) drug-induced Stevens-Johnson syndrome (SJS)/toxic epidermal necrolysis (TEN) in children. Methods: This was a retrospective study. The data SJS TEN patients admitted to Hebei Children’s Hospital from 2014–2024 were retrospectively analyzed divided into MP group drug based on laboratory findings ALDEN algorithm for comparative Results: A total 42 cases...

Aspect-based sentiment analysis is a substantial step towards text understanding which benefits numerous applications. Since most existing algorithms require large amount of labeled data or external language resources, applying them on new domain usually expensive and time-consuming. We aim to build an aspect-based model from unlabeled corpus with minimal guidance users, i.e., only small set seed words for each aspect class class. employ autoencoder structure attention learn two dictionary...

Automated event detection from news corpora is a crucial task towards mining fast-evolving structured knowledge. As real-world events have different granularities, the top-level themes to key and then mentions corresponding concrete actions, there are generally two lines of research: (1) theme identifies corpus major (e.g., "2019 Hong Kong Protests" vs. "2020 U.S. Presidential Election") that very distinct semantics; (2) action extraction extracts one document mention-level actions "the...

Lead acid batteries (LABs) remain an inexpensive energy storage technology with a wide application base. However, their short cycle lifetimes necessitate improved recycling and maintenance technologies to combat various failure modes. One major cause of is hard sulfation, where the formation large PbSO4 crystals on negative active material impedes electron transfer. Here, we introduce protocol remove sulfate deposits electrode while maintaining electrochemical viability for subsequent...

Nowadays, it is common to classify collections of documents into (human-generated, domain-specific) directory structures, such as email or document folders. But may be classified wrongly, for a multitude reasons. Then they are outlying w.r.t. the folder end up in. Orthogonally this, and more specifically, two kinds errors can occur: (O) Out-of-distribution: does not belong any existing in directory; (M) Misclassification: belongs another folder. It this specific combination issues that we...

As online platforms and recommendation algorithms evolve, people are increasingly trapped in echo chambers, leading to biased understandings of various issues. To combat this issue, we have introduced PerSphere, a benchmark designed facilitate multi-faceted perspective retrieval summarization, thus breaking free from these information silos. For each query within there two opposing claims, supported by distinct, non-overlapping perspectives drawn one or more documents. Our goal is accurately...

Systematic review is a crucial method that has been widely used. by scholars from different research domains. However, screening for relevant scientific literature paper candidates remains an extremely time-consuming process so the task of prioritization established to reduce human workload. Various methods under human-in-the-loop fashion are proposed solve this using lexical features. These methods, even though achieving better performance than more sophisticated feature-based models such...

To evaluate the relationship between cardiovascular injury and pathological aspect of liberation nitric oxide synthase in endotoxin shock, Wistar rats were injected intraperitoneally with 10 mg/kg E. coli changes observed chronologically by immunohistochemical electron microscopic techniques at 2, 4, 8 12 h respectively after administration.Light microscopically, irregular contraction cardiomyocytes was early stage. After administation, occasional disintegration myocytes as well lysis...

Aspect-based sentiment analysis of review texts is great value for understanding user feedback in a fine-grained manner. It has general two sub-tasks: (i) extracting aspects from each review, and (ii) classifying aspect-based reviews by polarity. In this paper, we propose weakly-supervised approach analysis, which uses only few keywords describing aspect/sentiment without using any labeled examples. Existing methods are either designed one the sub-tasks, neglecting benefit coupling both, or...

Aspect classification, identifying aspects of text segments, facilitates numerous applications, such as sentiment analysis and review summarization. To alleviate the human effort on annotating massive texts, in this paper, we study problem classifying based only a few user-provided seed words for pre-defined aspects. The major challenge lies how to handle noisy misc aspect, which is designed texts without any Even domain experts have difficulties nominate making existing seed-driven...

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Forestry informationization is an important part of ecological construction, which needs a large number high-level mastery information technology expertise forestry specialty, so exploration effective way to integrate instruction specialty and the task teaching reforms. This paper describes basic objectives training importance necessity integration detailed method. The methods are establish course systems computer special knowledge, improve contents courses, combine courses with practical...

Taking the new eco-car as an example, article firstly introduced Virtools platform,which is used for realization of product display. Then it designed process display and further studied detailed interactive Finally, discussed characteristics virtual products.