In one paragraphArticle in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
17 authors.
Yangtao YuNational Key Laboratory of Advanced Micro and Nano Manufacture Technology, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0002-0170-1269 Yahui LiSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore.ORCID 0000-0003-2933-2853 Dongyuan ZhangSchool of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0009-0006-9250-9104 Haoqi HanSchool of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0009-0009-0895-1779 Xinyu RenSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore.ORCID 0009-0005-9247-5381 Kaiqi GaoSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore.
Haozhe WenSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore.ORCID 0009-0006-9423-7915 Jiaxiang WangNational Key Laboratory of Advanced Micro and Nano Manufacture Technology, Shanghai Jiao Tong University, Shanghai 200240, China.
Zhiyuan HuNational Key Laboratory of Advanced Micro and Nano Manufacture Technology, Shanghai Jiao Tong University, Shanghai 200240, China.
Han RenInstitute for Digital Molecular Analytics and Science (IDMxS), Nanyang Technological University, Singapore 639798, Singapore.ORCID 0009-0007-8449-8537 Ruiqing GeBionic Sensing and Intelligence Center (BSIC), Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Yu ChangBionic Sensing and Intelligence Center (BSIC), Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.ORCID 0009-0004-1558-3066 Mingyi ChenNational Key Laboratory of Advanced Micro and Nano Manufacture Technology, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0003-3886-9441 Hesheng WangSchool of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0002-9959-1634 Zhuoqing YangNational Key Laboratory of Advanced Micro and Nano Manufacture Technology, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0002-9635-6145 Yuanjin ZhengSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore.ORCID 0000-0002-5768-367X Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
Precise detection of subtle temperature variations under cryogenic conditions is critical for environmental monitoring but remains challenging because conventional thermistors suffer from limited sensitivity and mechanical interference. Here, we report a bioinspired supramolecular thermistor that achieves thermal transduction through molecularly gated charge transport. The hybrid polyurethane/carboxymethyl cellulose (PU/CMC)/MXene/NiO composite integrates dynamic hydrogen-bond reconfiguration, hydrated ionic conduction, and temperature-dependent electronic transport. Upon cooling, cooperative supramolecular evolution continuously modulates coupled ionic and electronic pathways, producing an ultrahigh negative temperature coefficient of -22,280% °C
Identifiers
PMID42873863
PMCPMC13665936
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