Hierarchical Comprehensive Context Modeling for Chinese Text Classification
The Chinese text classification task is challenging compared to tasks based on other languages such as English due to the characteristics of the Chinese text itself.
Jingang Liu +4 more
doaj +1 more source
Falcon: A Novel Chinese Short Text Classification Method
For natural language processing problems, the short text classification is still a research hot topic, with obviously problem in the features sparse, high-dimensional text data and feature representation. In order to express text directly, a simple but new variation which employs one-hot with low-dimension was proposed.
Haiming Li +3 more
openaire +2 more sources
Leveraging Pre-Trained Language Model for Summary Generation on Short Text
Bidirectional Encoder Representations from Transformers represents the latest incarnation of pre-trained language models which have been obtained a satisfactory effect in text summarization tasks.
Shuai Zhao, Fucheng You, Zeng Yuan Liu
doaj +1 more source
Neutralization of the PTX3/CD44 axis suppresses TGF‐β1 signaling in kidney fibrosis
This study investigates how the PTX3/CD44 axis promotes kidney fibrosis by activating TGF‐β1 signaling. We demonstrate that the neutralizing antibody WHC‐001 effectively inhibits this pathway, suppressing myofibroblast activation and partial epithelial–mesenchymal transition (EMT).
Chao‐Chun Cheng +8 more
wiley +1 more source
A nationwide student survey on biochemistry learning resources in Italy
We conducted a survey among Italian university students to investigate their preferred study materials for biochemistry. We then analyzed the collected data to identify these materials. This information may be valuable to the Biochemistry educational community. The graphical abstract was created with Claude (Opus 5.5; Anthropic, 2026).
Anna Marabotti +4 more
wiley +1 more source
Method for Calculating Semantic Similarity of Short Agricultural Texts Based on Transfer Learning
[Objective]Intelligent services of agricultural knowledge have emerged as a current hot research domain, serving as a significant support for the construction of smart agriculture.
JIN Ning +4 more
doaj +1 more source
Short Text Sentiment Analysis Based on Multi-Channel CNN With Multi-Head Attention Mechanism
In view of the limited text features of short texts, features of short texts should be mined from various angles, and multiple sentiment feature combinations should be used to learn the hidden sentiment information. A novel sentiment analysis model based
Yue Feng, Yan Cheng
doaj +1 more source
RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu +21 more
wiley +1 more source
[Retracted] Chinese Short Text Classification by ERNIE Based on LTC_Block
Short text classification, an important direction of the basic research of natural language processing, has extensive applications. Its effect depends on feature extraction methods and feature representation methods. This paper proposed an LTC_Block‐based short text classification model named ERNIE to classify Chinese short texts and extract semantics ...
Meng Zhang, Xiang Shang
openaire +1 more source
Distinct Systemic Sclerosis Phenotypes Related to Ethnicity: An Opportunity to Personalize Care?
Objective The objective is to describe and compare demographic, clinical, and serological characteristics of patients with systemic sclerosis (SSc) according to ethnic background. Methods Participants enrolled in the Canadian Scleroderma Research Group cohort who self‐identified to a single ethnicity group were included.
Danick Goulet +11 more
wiley +1 more source

