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Jiří Bednář

Researcher at Sewanee: The University of the South

Publications -  7
Citations -  156

Jiří Bednář is an academic researcher from Sewanee: The University of the South. The author has contributed to research in topics: Chemistry & Medicine. The author has an hindex of 2, co-authored 2 publications receiving 45 citations.

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Predictive Maintenance and Intelligent Sensors in Smart Factory: Review.

TL;DR: In this paper, the authors present a review of the current literature concerning predictive maintenance and intelligent sensors in smart factories, focusing on contemporary trends to provide an overview of future research challenges and classification, using burst analysis, systematic review methodology, co-occurrence analysis of keywords, and cluster analysis.
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Sustainability Outcomes of Green Processes in Relation to Industry 4.0 in Manufacturing: Systematic Review

TL;DR: In this paper, the authors present a conceptual Sustainability green industry 4.0 framework that helps to structure and evaluate conventional green processes in relation to Industry 5.0 and sustainability, and find that the most often common sustainability outcomes are energy saving, emission reduction, resource optimalization, cost reduction, productivity and efficiency.
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The Effects of Nature-Inspired Synthesis on Silver Nanoparticle Generation

TL;DR: In this paper , the Tilia sp. inflorescence leachate and pure citric and protocatechuic acids were chosen for Ag-AgCl nanoparticle (NP) synthesis, and the resultant particles were then compared.
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Effect of various cooking methods on cooking loss, sensory and instrumental properties of pork neck

TL;DR: In this paper , a total of 336 samples of boneless pork neck were cooked and analyzed, and the pH values of the ground whole neck ranged from 5.9 to 6.8.
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Analysis and modelling of single domain core-shell (αFeNi/chromite) nanoparticles emitted during selective laser melting, and their magnetic remanence

TL;DR: In this paper , the properties of nanoparticulate pollutants emitted during 3D printing using stainless steel are investigated and a newly developed kinetic model is proposed to predict a metal core growth time of below 200 μs.