Evidence map›Paper›PMID 39416847›Full record

ArticleHeliyon2024

Research on the health lighting scheme of university library reading room.

Meng Fanpu, Wang Shou Yi, Feng Hua

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

3 authors.

Meng FanpuBingtuan Xingxin Vocational and Technical College, Tiemenguan City, Xinjiang, 841007, China.
Wang Shou YiSchool of Architecture and Art, Hebei University of Engineering, Handan City, Hebei Province, 056038, China.
Feng HuaSchool of Architecture and Art, Hebei University of Engineering, Handan City, Hebei Province, 056038, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quality of the indoor lighting environment in the reading space of the university library is essential for students' visual perception, emotional evaluation, and cognitive efficiency. The design of the lighting environment considering the change of natural light is one of the important development directions to improve the light environment quality of the reading room and meet the health requirements of students. This paper from the perspective of reading vision, emotion, and cognitive probes into the natural light environment lighting design, builds a reading lighting environment laboratory, using subjective evaluation, task performance, and physiological indicators of the measurement method, first analyses the weight of different indicators under different time, establish lighting environment comprehensive evaluation index I and artificial illumination and desktop illumination prediction model. The experimental results show that experimental results show that visual discomfort and clarity are the key factors in the early and later stages. In the transition phase, emotional indicators become particularly important. The model of dynamic lighting design scheme during 17:30-20:30 is: y = 227753.1746-900120.63492x+ 1179428.57142x2-512000x3, R2 = 0.99702; the fitting formula of desktop illumination in 17:30-20:30 period is: y = 566.666667-197.08995x + 158.73016x2-37.03704x3, R2 = 0.95238. The results aim to provide a theoretical basis for the design and optimization of dynamic lighting under natural light in the library reading room.

Indexed as

Cognitive efficiencyEmotional evaluationIn the reading roomLighting environmentVisual perception

Identifiers

PMID39416847
PMCPMC11481651

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.