Results 41 to 50 of about 319,043 (311)

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Multiomics Analyses Reveal an Essential Role of Tryptophan in Treatment of csDMARDs in Rheumatoid Arthritis

Advanced Science, EarlyView.
Rheumatoid arthritis is a disease characterized by joint inflammation. Approximately 50% of patients show insufficient response to traditional synthetic disease‐modifying antirheumatic drugs. This study aims to elucidate differential molecular profiles of the mechanisms underlying drug responses through multi‐omics strategy.
Congcong Jian, Jing Zhu, Jianhong Wu, Yan Zhang, Jianghua Chen, Huan Wang, Hengyan Liu, Ke Xu, Jiaxin Huang, Xiaoting Zhu, Yuanli Wei, Shilin Li, Tingting Wang, Xuan Huang, Qinghua Zou, Jie Zhang, Jiang Su, Xinming Du, Yaping Lu, Tianci Zhou, Yingtong Zhou, Minglong Tang, Bin Li, Xue Zhou, Qihao Wei, Qiulong Yan, Fanxin Zeng   +26 more
wiley   +1 more source

Fuzzy relations and fuzzy relational databases

Computers & Mathematics with Applications, 1991
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Austin Melton, Sujeet Shenoi
openaire   +3 more sources

ggalign: Bridging the Grammar of Graphics and Biological Multilayered Complexity

Advanced Science, EarlyView.
The ggalign package provides a comprehensive framework for composable visualization built on top of ggplot2. Its primary purpose is to enable the construction of complex multi‐plot layouts with consistent observation alignment across plots, particularly for high‐dimensional data contexts such as genomics, transcriptomics, and microbiome studies ...
Yun Peng, Shan Jiang, Yuxuan Song, Peng Luo, Jianfeng Li, Dehua Hu, Jian‐Guo Zhou, Guangchuang Yu, Tao Xu, Shixiang Wang   +9 more
wiley   +1 more source

Analyzing The Encountered Problems and Possible Solutions of Converting Relational Databases to Graph Databases

Journal of Advanced Research in Natural and Applied Sciences, 2022
Relational database management systems have been used for storing data for a long time.However, these systems are insufficient to analyze the large and complex structure of the data.
Ramazan Altın, A. Cumhur Kınacı
doaj   +1 more source

Leveraging 3D Molecular Spatial Visual Information and Multi‐Perspective Representations for Drug Discovery

Advanced Science, EarlyView.
A deep learning framework called MolVisGNN is proposed to fuse 3D molecular visual information of drugs with multi‐source features, which proves the importance of 3D molecular visual information of drugs and the advancedness of this model in the field of drug discovery, and provides a reference for how to more comprehensively express small molecule ...
Zimai Zhang, Xi Zhou, Yujie Qi, Xiaobo Zhu, Xun Deng, Feng Tan, Yuan Huang, Lun Hu, Zhuhong You, Pengwei Hu   +9 more
wiley   +1 more source

Schema Independent Relational Learning

, 2017
Learning novel concepts and relations from relational databases is an important problem with many applications in database systems and machine learning. Relational learning algorithms learn the definition of a new relation in terms of existing relations ...
Abiteboul S., Anderson M., Arias M., Kraska T., Muggleton S., Muggleton S., Muggleton S., Yin X.   +7 more
core   +1 more source

A Comparison between Relational Databases and NoSQL Databases [PDF]

International Journal of Trend in Scientific Research and Development, 2018
Databases are used for storing and managing large amounts of data. Relational model is useful when it comes to reliability but when it comes to the modern applications dealing with large amounts of data and the data is unstructured non relational models are usable. NoSQL databases are used to store large amounts of data.
openaire   +1 more source

Knowledge Graph for Methane Selective Conversion: Revisiting and Predicting Product Selectivity and Methane Conversion

Advanced Science, EarlyView.
With the help of large language models, deep neural network learning, and kinetic calculation, a knowledge graph prediction of prior research in methane conversion is conducted. This knowledge graph provides a comprehensive understanding of the relationships among catalyst materials, catalytic performance, and reaction conditions, providing guidance ...
Boyu Xu, Gaoyang Li, Bohan Wang, Jiawei Bian, Hui Pan, Yulin Min, Guodong Qi, Jun Xu, Feng Deng, Feng Ju, Hao Ling, Zhendong Wang   +11 more
wiley   +1 more source

Comparative analysis of the performance of relational and non-relational databases in applications implemented in C#

Journal of Computer Sciences Institute
The article focuses on comparing relational and non-relational databases using applications written in C#. The aim of the study is to understand in which cases relational databases are preferred and when it is worth considering the use of non-relational
Patryk Baliński, Łukasz Chudy, Maria Skublewska-Paszkowska   +2 more
doaj   +1 more source