Evidence map›Paper›PMID 40102535›Full record

ArticleScientific reports2025

Study on the application and evaluation method of Zen aesthetic style in furniture design under the background of sustainability.

Tao Wang, Basyarah Hamat, Liming Zhang, Yanxiao Zhao, Leah Ling Li Pang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

5 authors.

Tao WangAnyang Institute of Technology, Anyang, 455000, Henan, China. 260695815@qq.com.
Basyarah HamatFaculty of Artificial Intelligence, Universiti Teknologi Malaysia, Kuala Lumpur, 54100, Kuala Lumpur, Malaysia.
Liming ZhangGongQing Institute of Science and Technology, Gongqing, 332000, Jiangxi, China.
Yanxiao ZhaoFaculty of Artificial Intelligence, Universiti Teknologi Malaysia, Kuala Lumpur, 54100, Kuala Lumpur, Malaysia. 2361712363@qq.com.
Leah Ling Li PangFaculty of Artificial Intelligence, Universiti Teknologi Malaysia, Kuala Lumpur, 54100, Kuala Lumpur, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to explore the application of Zen aesthetics in contemporary furniture design within a sustainable context through rational data analysis, providing innovative insights and a reference framework for modern furniture design. First, grounded theory was employed to collect and evaluate design principles and elements through expert interviews, leading to the establishment of a hierarchical model. Next, the analytic hierarchy process was used to analyze and prioritize the elements of cultural and creative product design by calculating their weights. Finally, the fuzzy comprehensive evaluation method was applied for scheme selection and optimization. This study utilized Zen aesthetic-style tea table as a case study, the design was analyzed from the perspectives of aesthetic, functionality, emotionality and safety. The design scheme was optimized by incorporating Zen aesthetic principles, achieving an organic integration of Zen cultural elements with modern furniture design. The feasibility of this approach was validated through the design of a tea table. This comprehensive method addresses the gap in applying Zen aesthetics to modern furniture design, providing a scientific and systematic tool for the design and evaluation of contemporary furniture.

Indexed as

Analytic hierarchy process (AHP)Fuzzy comprehensive evaluation (FCE)Grounded theory (GT)SustainableZen aesthetic style

Identifiers

PMID40102535
PMCPMC11920408

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.