Results 121 to 130 of about 478,328 (290)

Effect of daily new cases of COVID-19 on public sentiment and concern: Deep learning-based sentiment classification and semantic network analysis. [PDF]

J Public Health (Berl), 2023
Che S, Wang X, Zhang S, Kim JH.
europepmc   +1 more source

Machine Learning‐Guided Engineering of Protein Phase Separation Properties in Immune Regulation

Advanced Science, EarlyView.
PScalpel, a machine learning model integrating protein structure extraction, graph contrastive learning, and a genetic algorithm, guides the engineering of protein phase separation ability. It adopts transfer learning methods to provide predictive recommendations for protein phase separation ability changes through single amino acid mutations in a ...
Chenqiu Zhang, Jia Wang, Zhe Wang, Liyan Zhu, Sihui Cai, Luzhi Zhan, Haorui Liang, Yaoxing Wu, Jianqiang Li, Jun Cui   +9 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Social Network and Sentiment Analysis of the #Nutrition Discourse on Twitter

Proceedings
Social media platforms allow people to share information, connect, and build networks at an unprecedented scale with positive and negative consequences. Social network analysis (SNA) applies mathematical network and graph theory to visualise information ...
Cassandra H. Ellis, Charlotte E. L. Evans, J. Bernadette Moore   +2 more
doaj   +1 more source

Networked partisanship and framing: A socio-semantic network analysis of the Italian debate on migration. [PDF]

PLoS One, 2021
Radicioni T, Squartini T, Pavan E, Saracco F.   +3 more
europepmc   +1 more source

Automatically Defining Protein Words for Diverse Functional Predictions Based on Attention Analysis of a Protein Language Model

Advanced Science, EarlyView.
Understanding protein sequence–function relationships remains challenging due to poorly defined motifs and limited residue‐level annotations. An annotation‐agnostic framework is introduced that segments protein sequences into “protein words” using attention patterns from protein language models.
Hedi Chen, Jingrui Zhong, Xiaochun Zhang, Jingke Chen, Lin Guo, Xiaoliang Xiong, Xiaonan Zhang, Xiangyu Liu, Bailong Xiao, Boxue Tian   +9 more
wiley   +1 more source

An Effective Strategy for Sentiment Analysis Based on Complex-Valued Embedding and Quantum Long Short-Term Memory Neural Network

Axioms
Sentiment analysis aims to study, analyse and identify the sentiment polarity contained in subjective documents. In the realm of natural language processing (NLP), the study of sentiment analysis and its subtask research is a hot topic, which has very ...
Zhulu Chu, Xihan Wang, Meilin Jin, Ning Zhang, Quanli Gao, Lianhe Shao   +5 more
doaj   +1 more source

Trends in Nursing Research on Infections: Semantic Network Analysis and Topic Modeling. [PDF]

Int J Environ Res Public Health, 2021
Won J, Kim K, Sohng KY, Chang SO, Chaung SK, Choi MJ, Kim Y.   +6 more
europepmc   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Research Trends in the Journal of Dental Hygiene Science Using Keyword Network Analysis and Topic Modeling: A Comparative Study of Pre- and Post-COVID-19 Periods (2015∼2024)

치위생과학회지
Background: As a multidisciplinary field, dental hygiene has seen the emergence of novel research topics that have reshaped its scholarly landscape during the pandemic. This study investigated the evolution of research themes and knowledge structures in
Bo-Ra Kim, Eun-Ha Jung, Ji-Hyun Min, Miyuki Kibayashi   +3 more
doaj   +1 more source