Evidence map›Paper›PMID 35910753›Full record

ArticleJournal of environmental and public health2022

Research on Application Experience Design of Ice and Snow Sports Equipment Based on Bee Colony Model.

Yuanjing Li, Jintian Yang, Shanshan Gao

RetractedAbstract readRetracted Publication
In one paragraph

Article in Journal of environmental and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Yuanjing LiThe Department of Physical Education, Hebei University of Economics and Business Shijiazhuang, Shijiazhuang 050061, China.ORCID 0000-0001-8276-647X
Jintian YangThe Department of Physical Education, Hebei University of Economics and Business Shijiazhuang, Shijiazhuang 050061, China.ORCID 0000-0003-2481-903X
Shanshan GaoGuangdong Technology College, Zhaoqing 526100, China.ORCID 0000-0002-7702-388X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sports equipment is the key to the smooth development of ice and snow sports. With the rapid development of social economy and the improvement of people's living standards, the demand for ice and snow sports equipment is increasing day by day. This article presents an improved method based on the chaos theory and the bee colony algorithm to quantify the application experience design of ice and snow sports equipment and reduce the influence of uncertain factors on the design results. First, the chaos theory can establish the dataset of application experience design and analyze the discreteness of the set. According to the bee colony algorithm, the dataset is divided into several groups, and each group obtains the best application experience design by using the design optimization strategy. Finally, the results are mixed to obtain the final experience design results. Through MATLAB simulation analysis and verification, the improved bee colony model can improve the accuracy of application experience design of ice and snow sports equipment in an uncertain environment, shorten the overall design time, and meet the requirements of application experience design of different ice and snow sports equipment. Therefore, the model proposed in this paper is suitable for the application experience design of ice and snow sports equipment.

Indexed as

IceSnow SportsHumansSports EquipmentIce

Identifiers

PMID35910753
PMCPMC9328956

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.