Exploring hidden pathways to sustainable manufacturing for cyber-physical production systems.

Gianfranco Pedone, József Váncza, Ádám Szaller

Abstract read

In one paragraph

Article in Heliyon, 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

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3 · Its place in the literature

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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.

Gianfranco PedoneResearch Laboratory on Engineering & Management Intelligence, Centre of Excellence in Production Informatics and Control, Institute for Computer Science and Control, Kende u. 13-17, Budapest, 1111, Hungary.

József VánczaResearch Laboratory on Engineering & Management Intelligence, Centre of Excellence in Production Informatics and Control, Institute for Computer Science and Control, Kende u. 13-17, Budapest, 1111, Hungary.

Ádám SzallerResearch Laboratory on Engineering & Management Intelligence, Centre of Excellence in Production Informatics and Control, Institute for Computer Science and Control, Kende u. 13-17, Budapest, 1111, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Future manufacturing scenarios will likely be built around cyber-physical production systems. To succeed, this new manufacturing paradigm will also have to comply with the golden rule of sustainability. However, the concept of sustainability as defined in a number of high-level policy documents and recommendations requires disambiguation. The paper introduces HITECS, a novel, context-independent text analytics methodology for hidden correlation analysis in documents. HITECS is based on the assumption that there is a strong link between a concept and the words implicitly chosen to explain it. The analysis is based on the combination of bare words frequency and cosine similarity, excluding trivial, first-level terms (titles, keywords, and definitions). Processing a corpus of generally accepted documents related to various definitions and requirements of sustainability unfolded their hidden correlations and some common key concepts. These results indicate that terms like

Indexed as

Cyber-physical production systemSemantic similaritySustainabilityText analysis

Identifiers

PMID38638957

DOI10.1016/j.heliyon.2024.e29004

PMCPMC11024542

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

Read underepoch 390

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.