Results 71 to 80 of about 726,143 (311)

Optimizing Literature Search: TEMAS, A New Text-Mining Algorithm-Assisted Search Tool [PDF]

, 2020
Emmanuel Bonnet, Daurès Jean-Pierre, P. Landais   +2 more
openalex   +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

Supporting text mining for e-Science: the challenges for Grid-enabled natural language processing [PDF]

, 2005
Over the last few years, language technology has moved rapidly from 'applied research' to 'engineering', and from small-scale to large-scale engineering.
Carroll, John, Evans, Roger, Klein, Ewan
core   +2 more sources

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

E. coli K12 as a dysbiosis-driven catalyst in colorectal cancer: In silico identification of cross-species protein-protein interactions

Medicine in Microecology
Colorectal cancer (CRC) is one of the leading causes of cancer-related deaths worldwide. Emerging evidence suggests that gut microbiota plays a crucial role in the development and progression of CRC, with dysbiosis being strongly associated with ...
Sharvari Sawant, Prabhu Meganathan, Jeyakumar Natarajan, Hemamalini Vedagiri   +3 more
doaj   +1 more source

Text mining brain imaging reports

Journal of Biomedical Semantics, 2019
Background With the improvements to text mining technology and the availability of large unstructured Electronic Healthcare Records (EHR) datasets, it is now possible to extract structured information from raw text contained within EHR at reasonably high
Beatrice Alex, Claire Grover, Richard Tobin, Cathie Sudlow, Grant Mair, William Whiteley   +5 more
doaj   +1 more source

OpenMinTeD: A Platform Facilitating Text Mining of Scholarly Content [PDF]

, 2018
The OpenMinTeD platform aims to bring full text Open Access scholarly content from a wide range of providers together with Text and Data Mining (TDM) tools from various Natural Language Processing frameworks and TDM developers in an integrated ...
Anastasiou, Lucas, Eckart de Castilho, Richard, Galanis, Dimitrios, Georgantopoulos, Byron, Greenwood, Mark, Katerina, Gkirtzou, Knoth, Petr, Labropoulou, Penny, Lempesis, Antonis, Manola, Natalia, Martziou, Stefania, Piperidis, Stelios, Sachtouris, Stavros   +12 more
core  

The Third‐Generation Magnetic Super‐Stable Mineralizer: Complete Removal and Separation of Multiple Heavy Metal Pollutants

Advanced Science, EarlyView.
The 3rd‐generation magnetic super‐stable mineralizer M‐MgAl‐700 features a core‐shell structure, strong superparamagnetism, large surface area, and abundant oxygen defects. It achieves exceptional Cd(II) and As(V) mineralization capacities, reducing both pollutants in co‐contaminated water and soil to meet national standards.
Haoran Wang, Menghan Huang, Ruihua Mao, Xiaohan Zhang, Zhaohui Wu, Xiaofeng Pang, Tong Lin, Dongyuan Cui, Sai An, Yu‐Fei Song   +9 more
wiley   +1 more source

Text Data Mining from the Author's Perspective: Whose Text, Whose Mining, and to Whose Benefit?

, 2018
Given the many technical, social, and policy shifts in access to scholarly content since the early days of text data mining, it is time to expand the conversation about text data mining from concerns of the researcher wishing to mine data to include ...
Borgman, Christine L.
core  

Phase Fraction Modulation Enhances Li+/Na+ Diffusion Disparity in Spent LiFePO4 Cathodes for Efficient Lithium Extraction from Brine

Advanced Science, EarlyView.
A direct cascaded utilization strategy for spent LiFePO4 batteries efficiently extracts lithium from brine, embodying the “urban mining” concept. Phase fraction modulation revealed its significant impact on local bond lengths of crystal structure and the Li/Na diffusion energy barrier, identifying the best material (Li0.19FePO4) for lithium extraction.
Ruiqi Yin, Qihan Huang, Jiayu Hao, Guosheng Li, Guoxing Ren, Dongfu Liu, Zhongwei Zhao, Wenhua Xu   +7 more
wiley   +1 more source