Results 61 to 70 of about 43,976,399 (299)
Neutralization of the PTX3/CD44 axis suppresses TGF‐β1 signaling in kidney fibrosis
FEBS Letters, EarlyView.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
SystemsIn live-streaming e-commerce systems, massive volumes of user-generated danmaku constitute a critical yet underutilized source of business intelligence.
Geng Peng +6 more
doaj +1 more source
Predicting Self-Reported Proactive Personality Classification With Weibo Text and Short Answer Text
IEEE Access, 2021 Personality assessments are at present nearly entirely dependent on self-reports, and machine learning methods have been rarely applied to this field.
Peng Wang +7 more
doaj +1 more source
Finding novel vulnerabilities of hypomorphic BRCA1 alleles
Molecular Oncology, EarlyView.Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder +10 more
wiley +1 more source
Journal of Harbin University of Science and TechnologyThis article proposes an Interactive Dependent Multi-head Graph Attention (IDM-GAT) model for short text sentiment analysis based on dependent multi-head graph attention, which addresses the shortcomings of existing methods for short text sentiment ...
AISiyu, CHENHailong, CUIXinying, ANRui
doaj +1 more source
Search-based short-text classification
Dianzi Jishu Yingyong, 2018 For short-text classification in case the traditional classification algorithm does not work well, this paper proposes a search-based method employing NaiveBayes.
Kang Wei +4 more
doaj +1 more source
Word Mover’s Distance for Agglomerative Short Text Clustering
, 2019 In the era of information overload, text clustering plays an important part in the analysis processing pipeline. Partitioning high-quality texts into unseen categories tremendously helps applications in information retrieval, databases, and business ...
Bela Stantic +7 more
core +1 more source
Knowledge-Based Short Text Categorization Using Entity and Category Embedding [PDF]
, 2019 Short text categorization is an important task due to the rapid growth of online available short texts in various domains such as web search snippets, news feeds, etc.
Türker, Rima +3 more
core +1 more source
Molecular Oncology, EarlyView.The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
wiley +1 more source
Benchmarking short text semantic similarity
International Journal of Intelligent Information and Database Systems, 2010 Short text semantic similarity measurement is a new and rapidly growing field of research. 'Short texts' are typically sentence length but are not required to be grammatically correct. There is great potential for applying these measures in fields such as information retrieval, dialogue management and question answering. A dataset of 65 sentence pairs,
James O'Shea +3 more
openaire +1 more source