Evidence map›Paper›PMID 38332044›Full record

ArticleScientific reports2024

Identification of mine water sources using a multi-dimensional ion-causative nonlinear algorithmic model.

Qiushuang Zheng, Changfeng Wang, Yang Yang, Weitao Liu, Ye Zhu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.2field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 1 country.

Qiushuang ZhengSchool of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, 100876, China. zqsbupt@163.com.
Changfeng WangSchool of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, 100876, China.
Yang YangSchool of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, 100876, China.
Weitao LiuCollege of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.
Ye ZhuCollege of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.
Beijing University of Posts and Telecommunications · CNShandong University of Science and Technology · CN

Funding

National Emergency Management System Construction Project 20VYJ061the Construction and Empirical Research on Early Warning Index System of Major Engineering Safety Risks Based on Optimal Control Theory, National Natural Science Foundation of China 71271031The Innovation Fund for Doctoral Students of Beijing University of Posts and Telecommunications CX2023102
6 · The paper itself

Abstract

Based on the nonlinear algorithmic theory, the R-SVM water source discrimination model and prediction method were established by using the piper qualitatively to compare the differences between the ionic components and R-type factor approximation indicator input dimensions. Taking the mine water samples of Zhaogezhuang Coal Mine as an example, according to the chemical composition analysis of the water samples from different monitoring points, six indexes of Na

Indexed as

Piper qualitative graphical methodR-factor dimensionality reductionSupport vector machineWater chemistryWater source ion identification

Identifiers

PMID38332044
PMCPMC10853570
OpenAlexW4391637870

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.