Evidence map›Paper›PMID 32235461›Full record

ArticleSensors (Basel, Switzerland)2020

Innovative Technologies for Cultural Heritage. Tattoo Sensors and AI: The New Life of Cultural Assets.

Maurizio Talamo, Federica Valentini, Andrea Dimitri, Ivo Allegrini

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. 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. Review
  2. Review
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.

Maurizio TalamoINUIT Foundation, Tor Vergata University of Rome, via dell'Archiginnasio snc, 00133 Rome, Italy.
Federica ValentiniSciences and Chemical Technologies Department, Tor Vergata University of Rome, via della Ricerca Scientifica 1, 00133 Rome, Italy.ORCID 0000-0002-9750-9393
Andrea DimitriINUIT Foundation, Tor Vergata University of Rome, via dell'Archiginnasio snc, 00133 Rome, Italy.
Ivo AllegriniEnvint Srl, Via Paradiso 65a, Montopoli di Sabina, 02434 Rieti, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conservation and restoration of cultural heritage is something more than a simple process of maintaining the existing. It is an integral part of the improvement of the cultural asset. The social context around the restoration shapes the specific actions. Today, preservation, restoration, enhancement of cultural heritage are increasingly a multidisciplinary science, meeting point of researchers coming from heterogeneous study areas. Data scientists and Information technology (IT) specialists are increasingly important. In this context, networks of a new generation of smart sensors integrated with data mining and artificial intelligence play a crucial role and aim to become the new skin of cultural assets.

Indexed as

advanced neural networkscausal analysiscellular uptakecultural heritagecultural heritage ecosystemnanoparticlesRTLSsensorssmart citiessupervised vs. unsupervised learningtattoo sensors

Identifiers

PMID32235461
PMCPMC7180608

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.