Evidence map›Paper›PMID 33394410›Full record

ArticleEnvironmental science and pollution research international2021

Establishment of a comprehensive analysis method for the microfaunal movement in activated sludge.

Xiaobing Hu, Kun Wang, Jing Chang, Lin Zhang, Meiying Zhong, Yong Nie

Abstract read
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Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xiaobing HuDepartment of Municipal Engineering, School of Architectural Engineering, Anhui University of Technology, Ma'anshan, 243002, Anhui, People's Republic of China.
Kun WangDepartment of Municipal Engineering, School of Architectural Engineering, Anhui University of Technology, Ma'anshan, 243002, Anhui, People's Republic of China. 18855571192@163.com.ORCID http://orcid.org/0000-0001-6715-1477
Jing ChangDepartment of Municipal Engineering, School of Architectural Engineering, Anhui University of Technology, Ma'anshan, 243002, Anhui, People's Republic of China.
Lin ZhangDepartment of Municipal Engineering, School of Architectural Engineering, Anhui University of Technology, Ma'anshan, 243002, Anhui, People's Republic of China.
Meiying ZhongDepartment of Municipal Engineering, School of Architectural Engineering, Anhui University of Technology, Ma'anshan, 243002, Anhui, People's Republic of China.
Yong NieDepartment of Municipal Engineering, School of Architectural Engineering, Anhui University of Technology, Ma'anshan, 243002, Anhui, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microfaunal identification and analysis are very complex; thus, an image analysis method was utilized in this paper to overcome the shortcomings of using the number, dominant species, and diversity of population structure of microfauna as activated sludge indicators. Based on a classification of microfaunal movement, the quantitative processing and analysis of the micro-video frame image of microfaunal movement were carried out by using the Image J software. Background subtraction method was utilized to detect target microfauna by matching target area features to track microfaunal movement. Three parameters, namely, motion trajectory (L), consecutive frame of motion paths (S

Indexed as

MovementSewageImage Processing, Computer-AssistedRotationSewageBackground subtraction approachBiological indicatorImage analysis methodMicrofaunaMovement behaviorQuantitative characterization

Identifiers

PMID33394410

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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.