Evidence map›Paper›PMID 40430716›Full record

ArticlePolymers2025

Empirical Modeling of Seasonal Cooling Performance Based on Test Devices Using Zinc Oxide/Low-Density Polyethylene Passive Cooling Membranes.

Yinjia Zhang, Jun Natsuki, Chengwu Weng, Vuong Dinh Trung, Yiwen Wang, Lina Cui, Toshiaki Natsuki

Abstract read
In one paragraph

Article in Polymers, 2025. 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.

Yinjia ZhangCollege of Textiles and Apparel, Quanzhou Normal University, Quanzhou 362000, China.
Jun NatsukiInstitute for Fiber Engineering and Science (IFES), Interdisciplinary Cluster for Cutting Edge Research (ICCER), Shinshu University, Ueda 386-8567, Nagano, Japan.
Chengwu WengComprehensive Technology Service Center of Quanzhou Customs, Quanzhou 362300, China.
Vuong Dinh TrungInterdisciplinary Graduate School of Science and Technology, Shinshu University, Ueda 386-8567, Nagano, Japan.ORCID 0000-0001-5032-292X
Yiwen WangCollege of Textile and Clothing, Xinjiang University, Urumqi 830046, China.
Lina CuiCollege of Textiles and Apparel, Quanzhou Normal University, Quanzhou 362000, China.
Toshiaki NatsukiCollege of Textiles and Apparel, Quanzhou Normal University, Quanzhou 362000, China.ORCID 0000-0002-5158-1082

Funding

Commissioned Project by Quanzhou Peak Shoes Co., LTD (CN) 2021KH20JSPS KAKENHI JP25K15540 and JP25K05728the Fujian Minjiang Chair Professor Program (CN) No 2022(04)the Open Competition Mechanism Project of Science and Technology Department of Quanzhou City 2022GZ4
6 · The paper itself

Abstract

Outdoor structures, such as vehicles, buildings, and outdoor equipment, are prone to overheat due to prolonged exposure to solar irradiation, which could affect their service life or user experience. To address this urgent issue, we developed a climate-adaptive thermal management solution using zinc oxide (ZnO)/low-density polyethylene (LDPE) hybrid membranes. The cooling performance of the membrane was examined across different seasons, achieving maximum temperature reductions (∆T) of 12.55 °C in summer, 8.02 °C in autumn, and 2.90 °C in winter. Our results demonstrated that the material's cooling efficiency varied with seasonal solar irradiance, showing quicker responsiveness in summer and reduced in winter, effectively preventing overcooling. Moreover, the enclosed specific volume (

Indexed as

compositespassive coolingseasonal variationthermal management

Identifiers

PMID40430716
PMCPMC12115205

What OpenQuestion holds

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LicenceCC BY
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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.