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11. Development of a Fluorescence-based Sensor based on 1,8-naphthalimide for Highly Sensitive Detection of Phosgene

Author

Zhang, Yibin, primary, Qiu, Xianyu, additional, Sun, Lin, additional, Wang, Boling, additional, Rong, Xiaoqian, additional, Liu, Jie, additional, Jun, Liu, additional, Wei, Gao, additional, Wang, Haiping, additional, Wang, Chen, additional, Gao, Wanxia, additional, Liu, Wei, additional, Shu, Xiji, additional, and Shang, Jinting, additional

Published
2023
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16. A Novel "Off–On" NIR Fluorescent Probe for Detecting Hg2+ Based on Dicyanoisophorone and Its Application in Bio-imaging and Real Water Samples.

Author

Zhang, Yibin, Yan, Qing, Cheng, Yueting, Wang, Boling, Rong, Xiaoqian, Kuang, Yanhong, Qiu, Xianyu, Sun, Lin, and Zhou, Yanyan

Abstract

In this study, dicyanoisophorone was used as NIR (near-infrared spectroscopy) emission fluorophore, and thiobenzoate as the recognition function motif to fabricate probe HgS. Through the Hg-S linker, the whole molecule's fluorescence was quenched due to the strong photoinduced electron transfer effect (PET). However, the Hg-S linker could be cut off upon the Hg2+ being added to the probe solution, leading to a strong fluorescence emission turned on by the intramolecular charge transfer effect (ICT). The probe HgS can respond to Hg2+ during the NIR emission spectral range and exhibits a significant Stokes shift (215 nm), excellent selectivity, and biocompatibility. Besides, the probe HgS can be used to monitor Hg2+ in bio-system and water samples. [ABSTRACT FROM AUTHOR]

Published
2022
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18. A cognitive model of human thinking

Author

Lili Wang Boling, Cui Guangzuo, and Wei Xuefeng

Subjects
Cognitive model, Computer science, business.industry, Thalamus, Behavioural sciences, Cognition, Cognitive architecture, Construct (python library), Cognitive neuroscience, Memory controller, Baddeley's model of working memory, Artificial intelligence, business, Declarative memory
Abstract

This paper, based on findings in brain organization and cognitive neuroscience, proposed a more low-level and plausible architecture of human cognition, called CAUT, which can demonstrate the diagram and mechanism of human thinking. Comparing with existing models, three changes are made: (1) a pathway called inner loop is added from motor controller to thalamus; (2) a memory controller is added in front of long-term declarative memory, which can judge whether the memory operation is retrieval or not; (3) two new modules, Active Object buffer (AO) and Active Action buffer, are separated out of the general working memory model. With CAUT architecture, a dynamic cognitive model is put out with which typical thinking processes can be interpreted and described more precisely. Problem solving are demonstrated with this model, and two typical problems, decision problem and search problem, are interpreted. Experiments with ACT-R indicate that CAUT is consistent with ACT-R in functional level, and the description can be easily transformed into ACT-R model, and CAUT architecture can be taken as a meta-description and design tool to construct cognitive model. Experiments with ACT-R also indicate the effectiveness of CAUT architecture.

Published
2011

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