Evidence map›Paper›PMID 40475926›Full record

ArticleJournal of applied crystallography2025

Enhanced estimation method for partial scattering functions in contrast variation small-angle neutron scattering via Gaussian process regression with prior knowledge of smoothness.

Ippei Obayashi, Shinya Miyajima, Kazuaki Tanaka, Koichi Mayumi

Abstract read
In one paragraph

Article in Journal of applied crystallography, 2025. 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

4 authors.

Ippei ObayashiCenter for Artificial Intelligence and Mathematical Data Science, Okayama University, Japan.ORCID https://orcid.org/0000-0002-7207-7280
Shinya MiyajimaFaculty of Science and Engineering, Iwate University, Japan.ORCID https://orcid.org/0000-0002-1642-0961
Kazuaki TanakaGlobal Center for Science and Engineering, Waseda University, Japan.ORCID https://orcid.org/0000-0003-0612-7224
Koichi MayumiInstitute for Solid State Physics, University of Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contrast variation small-angle neutron scattering (CV-SANS) is a powerful tool for evaluating the structure of multi-component systems. In CV-SANS, the scattering intensities

Indexed as

Bayesian inferencecontrast variationcontrast variation small-angle neutron scatteringCV-SANSGaussian process regressionmulti-component systemspartial scattering functionsstatistical methods

Identifiers

PMID40475926
PMCPMC12135983

What OpenQuestion holds

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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.