Mathematical Modeling of

Abstract read

In one paragraph

Article in Foods (Basel, Switzerland), 2024. 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

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.

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

3 authors.

Ren YangDepartment of Agricultural and Biosystems Engineering, South Dakota State University, P.O. Box 2100, SRPA-136, Brookings, SD 57007, USA.ORCID 0000-0002-3981-6440

Shuang ZhangDepartment of Biological Systems Engineering, Washington State University, P.O. Box 646120, Pullman, WA 99164, USA.ORCID 0009-0005-4344-5469

Juming TangDepartment of Industrial & Systems Engineering, University of Washington, P.O. Box 352650, Seattle, WA 98195, USA.

Funding

United States Department of Agriculture 2020-68012-31822

6 · The paper itself

Abstract

Drying is one of the most effective preservation methods for extending the shelf-life of perishable foods. The microbial safety of low-moisture food products had not been recognized as a concern until outbreaks reported over the past decade in products contaminated with bacterial pathogens, in particular

Indexed as

appledryinghumidityinactivationmodelingSalmonellathermal

Identifiers

PMID39682949

DOI10.3390/foods13233877

PMCPMC11640392

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.