Evidence map›Paper›PMID 32344924›Full record

ArticleMicroorganisms2020

Framework as a Service, FaaS: Personalized Prebiotic Development for Infants with the Elements of Time and Parametric Modelling of

Ka-Lung Lam, Wai-Yin Cheng, Fan Yang, Shaoling Lin, Lijun You, Jiachi Chiou, Hoi-Shan Kwan, Peter Chi-Keung Cheung

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

Article in Microorganisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 96% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

8 authors at 4 institutions in 2 countries.

Ka-Lung LamFood and Nutritional Sciences, School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR 000000, China.
Wai-Yin ChengFood and Nutritional Sciences, School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR 000000, China.
Fan YangFood and Nutritional Sciences, School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR 000000, China.
Shaoling LinCollege of Food Science, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Lijun YouSchool of Food Science and Engineering, South China University of Technology, Guangzhou 510640, Guangdong, China.
Jiachi ChiouDepartment of Applied Biology and Chemical Technology, Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China.
Hoi-Shan KwanFood and Nutritional Sciences, School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR 000000, China.
Peter Chi-Keung CheungFood and Nutritional Sciences, School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR 000000, China.
Chinese University of Hong Kong · HKFujian Agriculture and Forestry University · CNHong Kong Polytechnic University · HKSouth China University of Technology · CN

Funding

Direct Grant of the Research Committee of the Chinese University of Hong Kong 4053176RGC Research Grant General Research Fund 14114115
6 · The paper itself

Abstract

We proposed a framework with parametric modeling to obtain biological relevant parameters from the total probiotic growth pattern and metabolite production curves. The lag phase, maximum increase rate, and maximum capacity were obtained via a 205-h exploratory

Indexed as

16S amplicon sequencingbiological parameterscomposite indicatorparallel screeningparametric modelingpersonalized nutritionselected prebiotic librarystructural characterizationstructure–property relationship

Identifiers

PMID32344924
PMCPMC7285508
OpenAlexW3018646114

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.