Evidence map›Paper›PMID 35173242›Full record

ArticleScientific reports2022

Towards a software architecture to manage occupational safety at grain handling and storage facilities.

Sabrina Dalla Corte Bellochio, Paulo Carteri Coradi, Vinícius Maran, Marcos Alves Dos Santos, Luan Willig Silveira, Paulo Eduardo Teodoro

Abstract read
In one paragraph

Article in Scientific reports, 2022. 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

6 authors.

Sabrina Dalla Corte BellochioDepartment of Agricultural Engineering, Postgraduate at Agricultural Engineering, Federal University of Santa Maria, Avenue Roraima, 1000, Camobi, Santa Maria, RS, 97105900, Brazil.
Paulo Carteri CoradiDepartment of Agricultural Engineering, Postgraduate at Agricultural Engineering, Federal University of Santa Maria, Avenue Roraima, 1000, Camobi, Santa Maria, RS, 97105900, Brazil. paulo.coradi@ufsm.br.
Vinícius MaranLaboratory of Ubiquitous, Mobile and Applied Computing (LUMAC), Campus Cachoeira do Sul, Federal University of Santa Maria, Taufik Germano, Passo D'Areia, Cachoeira Do Sul, RS, 301396506-322, Brazil.
Marcos Alves Dos SantosLaboratory of Postharvest-Research Group at Postharvest Innovation: Technology, Quality and Sustainability, Campus Cachoeira do Sul, Federal University of Santa Maria, Taufik Germano, 3013, Passo D'Areia, Cachoeira Do Sul, RS, 96506-322, Brazil.
Luan Willig SilveiraLaboratory of Ubiquitous, Mobile and Applied Computing (LUMAC), Campus Cachoeira do Sul, Federal University of Santa Maria, Taufik Germano, Passo D'Areia, Cachoeira Do Sul, RS, 301396506-322, Brazil.
Paulo Eduardo TeodoroDepartment of Agronomy, Campus de Chapadão Do Sul, Federal University of Mato Grosso Do Sul, Chapadão Do Sul, MS, 79560-000, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study had as objective to evaluate occupational hazards on grain storage unit to define a conceptual model, implemented in an algorithm to manage the grains storage facilities safety standards compliance. Sampling points location were defined for static quantification of noise, dust and heat stress hazards in grains pre-processing operations to indicate the effectiveness of the control measures implemented. Safety standards applied to grain handling and storage facilities were identified and selected. Chart flows were elaborated to the algorithm logics and conceptual modeling. The highest level of noise was present in the grain cleaning operation (99.1 dB), while the expedition operation has the highest level of dust (20.27%). The heat stress was present in the grain drying operation (43.64 WBGT). Noise analysis did not show a difference between grains, only between operations. The flow of corn grain mass caused higher dust concentrations in the expedition operation. The method applied to characterize and quantify the hazards in grain storage units was satisfactory, and it is recommended as standard, for use in corn and soybean grains handling and storage units. The algorithm to manage occupational safety at storage facilities collaborates to monitor the safety compliance on postharvest operations.

Identifiers

PMID35173242
PMCPMC8850590

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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.