Evidence map›Paper›PMID 39685306›Full record

ArticleMaterials (Basel, Switzerland)2024

Study of the Straw Compaction Degree as a Function of Moisture Content, Particle Size and Process Temperature.

Dominik Wilczyński, Krzysztof Talaśka, Krzysztof Wałęsa, Dominik Wojtkowiak, Kuba Kryszczyński, Andrzej Kołodziej, Karol Konecki, Łukasz Urbaniak

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 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

8 authors.

Dominik WilczyńskiFaculty of Mechanical Engineering, Institute of Machine Design, Poznan University of Technology, Piotrowo Str. 3, 61-138 Poznań, Poland.ORCID 0000-0003-1758-6063
Krzysztof TalaśkaFaculty of Mechanical Engineering, Institute of Machine Design, Poznan University of Technology, Piotrowo Str. 3, 61-138 Poznań, Poland.
Krzysztof WałęsaFaculty of Mechanical Engineering, Institute of Machine Design, Poznan University of Technology, Piotrowo Str. 3, 61-138 Poznań, Poland.ORCID 0000-0003-0561-4485
Dominik WojtkowiakFaculty of Mechanical Engineering, Institute of Machine Design, Poznan University of Technology, Piotrowo Str. 3, 61-138 Poznań, Poland.ORCID 0000-0003-1334-1288
Kuba KryszczyńskiFaculty of Mechanical Engineering, Institute of Machine Design, Poznan University of Technology, Piotrowo Str. 3, 61-138 Poznań, Poland.
Andrzej KołodziejDepartment of Mechanical Engineering, Polytechnic Faculty, University of Kalisz, Poznańska 201-205, 62-800 Kalisz, Poland.
Karol KoneckiDepartment of Mechanical Engineering, Polytechnic Faculty, University of Kalisz, Poznańska 201-205, 62-800 Kalisz, Poland.ORCID 0000-0003-4518-0271
Łukasz UrbaniakDepartment of Mechanical Engineering, Polytechnic Faculty, University of Kalisz, Poznańska 201-205, 62-800 Kalisz, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The paper presents research on the process of densifying rye-wheat straw for its use in producing mouldable biofuel. The straw used in the research is a waste material from a farm located in Wielkopolska, resulting from the cultivation of triticale for the purpose of producing feed for pig farming. The aim of the study is to determine the utilisation of this material for the production of an agglomerate for energy purposes, such as heating the farm's infrastructure. The research was conducted for two moisture levels of straw:

Indexed as

ANOVA analysisbiomasscompactioncompaction degreesolid fuelstrawtriticale

Identifiers

PMID39685306
PMCPMC11642834

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.