Evidence map›Paper›PMID 33196680›Full record

ArticlePloS one2020

Optimization of mine ventilation network feature graph.

Jinzhang Jia, Bin Li, Dinglin Ke, Yumo Wu, Dan Zhao, Mingyu Wang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 37% of its field
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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
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

6 authors at 3 institutions in 1 country.

Jinzhang JiaCollege of Safety Science and Engineering, Liaoning Technical University, Fuxin, Liaoning, China.
Bin LiCollege of Safety Science and Engineering, Liaoning Technical University, Fuxin, Liaoning, China.ORCID 0000-0003-3171-6565
Dinglin KeCollege of Safety Science and Engineering, Liaoning Technical University, Fuxin, Liaoning, China.
Yumo WuCollege of Civil Engineering, Guangdong Ocean University Cunjin College, Zhanjiang, Guangdong, China.
Dan ZhaoCollege of Civil Engineering, Guangdong Ocean University Cunjin College, Zhanjiang, Guangdong, China.
Mingyu WangPower China Hua Dong Engineering Corporation Limited, Zhejiang, Hangzhou, China.
Ministry of Education of the People's Republic of China · CNGuangdong Ocean University · CNPowerChina (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A ventilation network feature graph can directly and quantitatively represent the features of a ventilation network. To ensure the stability of airflow in a mine and improve ventilation system analysis, we propose a new algorithm to draw ventilation network feature graphs. The independent path method serves as the algorithm's main frame, and an improved adaptive genetic algorithm is embedded so that the graph may be drawn better. A mathematical model based on the node adjacency matrix method for unidirectional circuit discrimination is constructed as the drawing algorithm may not be valid in such cases. By modifying the edge-seeking strategy, the improved depth-first search algorithm can be used to determine all of the paths in the ventilation network with unidirectional circuits, and the equivalent transformation method of network topology relations is used to draw the ventilation network feature graph. Through the analysis of the topological relation of a ventilation network, a simplified mathematical model is constructed, and network simplification technology makes the drawing concise and hierarchical. The rapid and intuitive drawing of the ventilation network feature graphs is significant for optimization of the ventilation system and day-to-day management.

Indexed as

AlgorithmsComputer GraphicsModels, TheoreticalSoftwareVentilation

Identifiers

PMID33196680
PMCPMC7668600
OpenAlexW3105616105

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.