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| http://dx.doi.org/10.1038/s41562-021-01134-4 | DOI Listing |
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A special two-working-electrode system: a summary of recent development in fabrication and application of interdigitated array electrodes.
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January 2025
Xidian University, Room 120, G building, Southern campus of Xidian University, Xi'an, Shaanxi, 710126, CHINA.
The utilization of dual-working-electrode mode of interdigitated array (IDA) electrodes and other two-electrode systems has revolutionized electrochemical detection by enabling the simultaneous and independent detection of two species, accompanied by the exhibition of unique characteristics. In contrast to conventional dual-potential electrodes, such as the rotating ring disk electrodes (RRDE), IDA electrodes demonstrate analogous yet vastly improved performance, characterized by remarkable collection efficiency and sensitivity. Notably, due to the distinctive microscale structure of IDA electrode, the special "feedback" effect makes IDA a unique signal amplifier.
View Article and Find Full Text PDFPhotocatalytic [3 + 2]-annulation sodium tetraarylborate: a fundamental approach for synthesizing 1,4,2-diazaborole analogs.
Chem Sci
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State Key Laboratory of Applied Organic Chemistry, College of Chemistry and Chemical Engineering, Lanzhou University Lanzhou 730000 Gansu China
Substantial advancements have been achieved in the field of photocatalytic borylation utilizing 4c-7e Lewis base-boryl radicals. However, the utilization of 3c-5e neutral boryl radicals for C-B bond formation remains relatively underexplored due to their inherent instability. In this study, we successfully demonstrated the direct construction of C-B bonds using sodium tetraarylborate as a key reagent.
View Article and Find Full Text PDFOnline comments of tourist attractions combining artificial intelligence text mining model and attention mechanism.
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School of New Media, Peking University, Beijing, China.
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View Article and Find Full Text PDFArticle Synopsis
- Machine learning, particularly deep learning with convolutional neural networks (CNNs), is being used to detect prostate cancer in tissue slides, but sample type differences affect model accuracy.
- Research tested whether CNNs trained on one type of sample (biopsy or radical prostatectomy) could effectively analyze the other type, revealing a significant drop in performance across sample types.
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