How different are offline and online diplomacy? A comparative analysis of public statements and SNS posts by delegates to the United Nations [0.03%]
线下外交与线上外交差异几何？基于联合国代表声明和社交媒体贴文的实证研究
Takuto Sakamoto,Momoko Araki,Hiroto Ito et al.
Takuto Sakamoto et al.
Introduction: This article investigates the evolving landscape of diplomacy in the digital age, focusing on diplomats at the United Nations (UN) Headquarters in New York. The central inquiry revolves around how diplomatic...
Song Wang,Chris Tennant,Daniel Moser et al.
Song Wang et al.
Particle accelerators play a crucial role in scientific research, enabling the study of fundamental physics and materials science, as well as having important medical applications. This study proposes a novel graph learning approach to clas...
Xiaoran Li,Xiaosong Han,Siqing Wei et al.
Xiaoran Li et al.
Introduction: Acupuncture and tuina, acknowledged as ancient and highly efficacious therapeutic modalities within the domain of Traditional Chinese Medicine (TCM), have provided pragmatic treatment pathways for numerous p...
Corrigendum: A community focused approach toward making healthy and affordable daily diet recommendations [0.03%]
健康且经济的日常饮食建议社区聚焦方法更正版
Joe Germino,Annalisa Szymanski,Heather A Eicher-Miller et al.
Joe Germino et al.
[This corrects the article DOI: 10.3389/fdata.2023.1086212.]. Keywords: community-centered optimization; die...
Published Erratum
Frontiers in big data. 2024 Apr 4:7:1396638. DOI:10.3389/fdata.2024.1396638 2024
Redefining governance: a critical analysis of sustainability transformation in e-governance [0.03%]
重构治理：电子治理可持续转型批判分析
Qaiser Abbas,Tahir Alyas,Turki Alghamdi et al.
Qaiser Abbas et al.
With the rapid growth of information and communication technologies, governments worldwide are embracing digital transformation to enhance service delivery and governance practices. In the rapidly evolving landscape of information technolog...
Dominik Kowald,Deqing Yang,Emanuel Lacic
Dominik Kowald
Fiza Saeed Malik,Muhammad Haroon Yousaf,Hassan Ahmed Sial et al.
Fiza Saeed Malik et al.
Background: Melanoma is one of the deadliest skin cancers that originate from melanocytes due to sun exposure, causing mutations. Early detection boosts the cure rate to 90%, but misclassification drops survival to 15-20%...
Enhancing cancer stage prediction through hybrid deep neural networks: a comparative study [0.03%]
基于混合深度神经网络癌症期别预测方法的研究与比较
Alina Amanzholova,Aysun Coşkun
Alina Amanzholova
Efficiently detecting and treating cancer at an early stage is crucial to improve the overall treatment process and mitigate the risk of disease progression. In the realm of research, the utilization of artificial intelligence technologies ...
Sentiment analysis of COP9-related tweets: a comparative study of pre-trained models and traditional techniques [0.03%]
COP9相关推文的情感分析：预训练模型与传统技术的比较研究
Sherif Elmitwalli,John Mehegan
Sherif Elmitwalli
Introduction: Sentiment analysis has become a crucial area of research in natural language processing in recent years. The study aims to compare the performance of various sentiment analysis techniques, including lexicon-...
The impact of comorbidities and economic inequality on COVID-19 mortality in Mexico: a machine learning approach [0.03%]
墨西哥合并症和经济不平等对新冠肺炎死亡率的影响：一种机器学习方法
Jorge Méndez-Astudillo
Jorge Méndez-Astudillo
Introduction: Studies from different parts of the world have shown that some comorbidities are associated with fatal cases of COVID-19. However, the prevalence rates of comorbidities are different around the world, theref...