Evidence map›Paper›PMID 42343080›Full record

ArticleNature communications2026

Near-infrared stress memory emitters enable delayed impact visualization in illuminated environments.

Xin Zhang, Shuohan Li, Hao Suo, Yu Zhang, Yu Wang, Li Li, Feng Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 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 it

What 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 registry

The 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 literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xin Zhang *Department of Materials Science and Engineering, City University of Hong Kong, Hong Kong SAR, China.ORCID http://orcid.org/0000-0002-4200-1103
Shuohan Li *Department of Materials Science and Engineering, City University of Hong Kong, Hong Kong SAR, China.ORCID http://orcid.org/0009-0004-7974-8253
Hao Suo *College of Physics Science & Technology, Hebei University, Baoding, China.ORCID http://orcid.org/0000-0002-6106-9402
Yu ZhangCollege of Physics Science & Technology, Hebei University, Baoding, China.
Yu WangDepartment of Materials Science and Engineering, City University of Hong Kong, Hong Kong SAR, China.
Li LiCollege of Physics Science & Technology, Hebei University, Baoding, China.
Feng WangDepartment of Materials Science and Engineering, City University of Hong Kong, Hong Kong SAR, China. fwang24@cityu.edu.hk.ORCID http://orcid.org/0000-0001-9471-4386

Funding

Research Grants Council, University Grants Committee (RGC, UGC) 11211922Research Grants Council, University Grants Committee (RGC, UGC) RFS2021-1S03
6 · The paper itself

Abstract

Rapid and accurate mechanical detection is essential across numerous fields. However, conventional camera-based methods, which depend on computationally intensive analysis of high-frame-rate footage and predictive algorithms, are often time-consuming and can introduce interpretive errors that compromise reliability. Herein, we present a class of near-infrared stress memory emitters, allowing fast and visualized mechanical detection in ambient environments. We develop Ca(Sr)ZnOS:Yb

Identifiers

PMID42343080
PMCPMC13448254

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.