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Industry 4.0 Disruption and Its Neologisms in Major Industrial Sectors: A State of the Art

TLDR
In this paper, a study aimed at identifying industry 4.0 neologisms and illustrating the convergence of 12 disruptive technologies including 3D printing, artificial intelligence, augmented reality, big data, blockchain, cloud computing, drones, Internet of Things, nanotechnology, robotics, simulation, and synthetic biology in agriculture, healthcare, and logistics industries was illustrated.
Abstract
Very well into the dawn of the fourth industrial revolution (industry 4.0), humankind can hardly distinguish between what is artificial and what is natural (e.g., man-made virus and natural virus). Thus, the level of discombobulation among people, companies, or countries is indeed unprecedented. The fact that industry 4.0 is explosively disrupting or retrofitting each and every industrial sector makes industry 4.0 the famous buzzword amongst researchers today. However, the insight of industry 4.0 disruption into the industrial sectors remains ill-defined in both academic and nonacademic literature. The present study aimed at identifying industry 4.0 neologisms, understanding the industry 4.0 disruption and illustrating the disruptive technology convergence in the major industrial sectors. A total of 99 neologisms of industry 4.0 were identified. Industry 4.0 disruption in the education industry (education 4.0), energy industry (energy 4.0), agriculture industry (agriculture 4.0), healthcare industry (healthcare 4.0), and logistics industry (logistics 4.0) was described. The convergence of 12 disruptive technologies including 3D printing, artificial intelligence, augmented reality, big data, blockchain, cloud computing, drones, Internet of Things, nanotechnology, robotics, simulation, and synthetic biology in agriculture, healthcare, and logistics industries was illustrated. The study divulged the need for extensive research to expand the application areas of the disruptive technologies in the industrial sectors.

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Advances in powder bed fusion 3D printing in drug delivery and healthcare.

TL;DR: Powder bed fusion (PBF) is a 3D printing method that selectively consolidates powders into 3D objects using a power source as mentioned in this paper, which can be used for the fabrication of bespoke drug-laden formulations, devices and implants.
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From Supply Chain 4.0 to Supply Chain 5.0: Findings from a Systematic Literature Review and Research Directions

TL;DR: In this paper, a systematic literature review method was used to get evidence from the current knowledge linked to the Industry 5.0 phenomenon in the supply chain context, which is still an unexplored theme.
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Digitalization of agriculture: A way to solve the food problem or a trolley dilemma?

TL;DR: In this article, the authors present the promises and perils of agricultural digitalization and point out the need to develop new trajectories for the digital agricultural revolution that ensure the increase of food production without severe negative societal impacts.

An Exploratory Bibliometric Analysis of the Birth and Emergence of Industry 5.0

TL;DR: In this article, an exploratory bibliometric analysis of the emerging literature on Industry 5.0 is presented, which provides a preliminary overview of the birth and emergence of this new research area.
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Talking about EU: European identity and the Publication Office of the European Union

TL;DR: In this paper, the authors tackle the concept of European identity and the way in which it is communicated by the Publication Office of the European Union (PUE) through Topic Modelling.
References
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Artificial intelligence in healthcare: past, present and future

TL;DR: The current status of AI applications in healthcare, in the three major areas of early detection and diagnosis, treatment, as well as outcome prediction and prognosis evaluation, are surveyed and its future is discussed.
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Artificial Intelligence in Healthcare

TL;DR: Recent breakthroughs in AI technologies and their biomedical applications are outlined, the challenges for further progress in medical AI systems are identified, and the economic, legal and social implications of AI in healthcare are summarized.
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Industry 4.0 technologies: Implementation patterns in manufacturing companies

TL;DR: The findings show that Industry 4.0 is related to a systemic adoption of the front-end technologies, in which Smart Manufacturing plays a central role, and the implementation of the base technologies is challenging companies, since big data and analytics are still low implemented in the sample studied.
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1 Blockchain’s roles in meeting key supply chain management objectives

TL;DR: This paper examines how blockchain is likely to affect key supply chain management objectives such as cost, quality, speed, dependability, risk reduction, sustainability and flexibility and illustrates the various mechanisms by which blockchain help achieve the above supply chain objectives.