Evidence map›Paper›PMID 31745775›Full record

ArticleEnvironmental science and pollution research international2019

Influence of salinity on the biological treatment of domestic ship sewage using an air-lift multilevel circulation membrane reactor.

Yuhang Cai, Asad A Zaidi, Yue Shi, Kun Zhang, Xin Li, Shihao Xiao, Aqiang Lin

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2019. 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
–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

2 citing papers in PubMed.

  1. Review
  2. Optimizing wastewater treatment through artificial intelligence: recent advances and future prospects.Water science and technology : a journal of the International Association on Water Pollution Research · 2024
    Review
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

7 authors.

Yuhang CaiCollege of Power and Energy Engineering, Harbin Engineering University, Harbin, 150001, PR China.
Asad A ZaidiDepartment of Engineering Sciences, PN Engineering College, National University of Sciences and Technology, Karachi, 75350, Pakistan.
Yue ShiCollege of Power and Energy Engineering, Harbin Engineering University, Harbin, 150001, PR China. shiyue@hrbeu.edu.cn.
Kun ZhangCollege of Power and Energy Engineering, Harbin Engineering University, Harbin, 150001, PR China.
Xin LiChina Aviation Development Institute, No. 1 Wanlian Road, Shenyang City, Shenhe District, China.
Shihao XiaoCollege of Power and Energy Engineering, Harbin Engineering University, Harbin, 150001, PR China.
Aqiang LinCollege of Power and Energy Engineering, Harbin Engineering University, Harbin, 150001, PR China.

Funding

Fundamental Research Funds for the Central Universities HEUCFG201820National Key R&D Plan of China 2017YFC1404603Natural Science Foundation of China 51579049Natural Science Foundation of Heilongjiang Province E2017020
6 · The paper itself

Abstract

Recently, strict standards for ship domestic sewage discharge have been implemented by the International Maritime Organization (IMO). The high salinity of ship sewage was considered a key factor influencing the removal efficiency of ship sewage treatment systems. In the present study, the salinity effect on the removal of chemical oxygen demand (COD) and ammonia nitrogen (NH

Indexed as

BioreactorsSewageShipsAmmoniaBiological Oxygen Demand AnalysisNitrogenSalinityWaste Disposal, FluidAmmoniaNitrogenSewageBiodegradationEnzyme activityNumerical simulationShip sewage treatmentWavelet neural network

Identifiers

PMID31745775

What OpenQuestion holds

Textmetadata
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.