Evidence map›Paper›PMID 29016652›Full record

ArticlePloS one2017

Optimal experimental conditions for Welan gum production by support vector regression and adaptive genetic algorithm.

Zhongwei Li, Xiang Yuan, Xuerong Cui, Xin Liu, Leiquan Wang, Weishan Zhang, Qinghua Lu, Hu Zhu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2017. 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. 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

8 authors.

Zhongwei LiCollege of Computer and Communication Engineering, China University of Petroleum, Qingdao 266580, Shandong, China.
Xiang YuanCollege of Computer and Communication Engineering, China University of Petroleum, Qingdao 266580, Shandong, China.
Xuerong CuiCollege of Computer and Communication Engineering, China University of Petroleum, Qingdao 266580, Shandong, China.
Xin LiuCollege of Computer and Communication Engineering, China University of Petroleum, Qingdao 266580, Shandong, China.
Leiquan WangCollege of Computer and Communication Engineering, China University of Petroleum, Qingdao 266580, Shandong, China.
Weishan ZhangCollege of Computer and Communication Engineering, China University of Petroleum, Qingdao 266580, Shandong, China.
Qinghua LuCollege of Computer and Communication Engineering, China University of Petroleum, Qingdao 266580, Shandong, China.
Hu ZhuCollege of Chemistry and Materials, Fujian Normal University, Fuzhou 350007, China.ORCID http://orcid.org/0000-0002-8359-3758

Funding

Heart Rate Variability and Impulse Control During Alcohol Dependence TreatmentR03AA020925 · NIAAA · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI HOUSTON, REBECCA J · 2012 to 2012
$73k
NIAAA NIH HHS R03 AA020925
6 · The paper itself

Abstract

Welan gum is a kind of novel microbial polysaccharide, which is widely produced during the process of microbial growth and metabolism in different external conditions. Welan gum can be used as the thickener, suspending agent, emulsifier, stabilizer, lubricant, film-forming agent and adhesive usage in agriculture. In recent years, finding optimal experimental conditions to maximize the production is paid growing attentions. In this work, a hybrid computational method is proposed to optimize experimental conditions for producing Welan gum with data collected from experiments records. Support Vector Regression (SVR) is used to model the relationship between Welan gum production and experimental conditions, and then adaptive Genetic Algorithm (AGA, for short) is applied to search optimized experimental conditions. As results, a mathematic model of predicting production of Welan gum from experimental conditions is obtained, which achieves accuracy rate 88.36%. As well, a class of optimized experimental conditions is predicted for producing Welan gum 31.65g/L. Comparing the best result in chemical experiment 30.63g/L, the predicted production improves it by 3.3%. The results provide potential optimal experimental conditions to improve the production of Welan gum.

Indexed as

Dietary CarbohydratesAgricultureAlgorithmsCloud ComputingData MiningEmulsifying AgentsExcipientsGlucoseLubricantsPolysaccharidesPolysaccharides, BacterialSupport Vector MachineDietary CarbohydratesEmulsifying AgentsExcipientsGlucoseLubricantsPolysaccharidesPolysaccharides, Bacterialwelan

Identifiers

PMID29016652
PMCPMC5633192

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.