Evidence map›Paper›PMID 39044994›Full record

ArticleHeliyon2024

Real-time

Hossein Pourrahmani, Ali Javadi, Amir Mahdi Hosseini Monazzah, Jan Van Herle

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

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.

Hossein PourrahmaniGroup of Energy Materials, École Polytechnique Fédérale de Lausanne, Sion, 1951, Switzerland.
Ali JavadiSchool of Computer Engineering, Iran University of Science and Technology, Tehran, Iran.
Amir Mahdi Hosseini MonazzahSchool of Computer Engineering, Iran University of Science and Technology, Tehran, Iran.
Jan Van HerleGroup of Energy Materials, École Polytechnique Fédérale de Lausanne, Sion, 1951, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among hydrogen technologies, a proton exchange membrane fuel cell (PEMFC) is known as an efficient device using hydrogen as the fuel. Although different real-time fault-diagnosis methods are available (i.e., voltage-based or electrochemical-based), the problem with these methods is their dependency on being directly connected to a computer, higher costs, lower security, and the need to perform the tests in a laboratory. The focus and the solution of this study are to propose a novel design of printed circuit board (PCB) that enables the implementation of the required sensors to detect/measure the operational parameters/contamination of PEMFC. The communication of the considered PCB will be with a server without direct contact through the Internet of Things (IoT). A specified computer. exe file has also been developed to directly connect to a personalized network hotspot (to increase security) and enable the wireless communication of the sensor and the computer. The outputs of this study can be considered a novel fault diagnosis kit that measures

Indexed as

Internet of things (IoT)Printed circuit board (PCB)Proton exchange membrane fuel cells (PEMFC)SensorWireless communication

Identifiers

PMID39044994
PMCPMC11263629

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.