Applying machine learning to study fluid mechanics

This paper provides a short overview of how to use machine learning to build data-driven models in fluid mechanics. The process of machine learning is broken down into five stages: (1) formulating a problem to model, (2) collecting and curating training data to inform the model, (3) choosing an architecture with which to represent the model, (4) designing a loss function to assess the performance of the model, and (5) selecting and implementing an optimization algorithm to train the model. At each stage, we discuss how prior physical knowledge may be embedding into the process, with specific examples from the field of fluid mechanics. Graphic abstract

Potential Involvement of Laccases as Efficient Biocatalysts in the Field of Organic Synthesis: An Editorial Presenting a Short Overview on Functional Applicability and Fate

Laccases, one of the expressively accepted biocatalysts, are oxidoreductases strongly known for their pronounced catalytic applications. Their involvement in the various types’ organic synthesis is one of the most attractive fields of bio-catalysis. In this editorial, authors have briefly assessed and explored the synthetic applicability and potential fate of this interesting oxidoreductase enzyme in organic synthesis and presented various scientific proofs based on researches done in related fields proving their versatile acceptability.

Past and present currents of sociology: 70 years of Current Sociology

This review paper marks the 70th anniversary of Current Sociology, the first journal founded by the International Sociological Association (ISA). The past seven decades have been a time of immense change within sociology and around the world, and the shifts within the structure and content of the journal mirror these transformations. Current Sociology today is a vastly different publication to the bibliography focused journal of 1952, and remains one of the top global sociology journals, and a proudly international publication. This short overview traces the history of Current Sociology across the decades, highlighting the work of the editors in guiding the development of the journal, and providing a glimpse into the development of the discipline, and the social developments of the past 70 years.

Against Epistemological Virus of Scepticism: Davidson on Objectivity of Knowledge

This paper provides a short overview of approaches to epistemological issues as represented by Donald Davidson, an American philosopher. This is an attempt to analyse Davidson’s essential postulates, in order to construct a framework for understanding a highly authentic epistemological position and the way in which it appears as an antipode to the sceptical epistemological strategies. In other words – the goal is to identify a coordinate system, through a set of postulates, from which Davidson projects his epistemological attitudes. For that purpose, the paper presents the developmental process of Davidson’s epistemological thought that goes through triangulation of notions subjective, intersubjective, and objective. The paper places special emphasis on Davidson’s concentration on communicative practices and intersubjectivity as the only topoi in which the issue of objectivity can be raised.

Copolymerization of Ethylene with Selected Vinyl Monomers Catalyzed by Group 4 Metal and Vanadium Complexes with Multidentate Ligands: A Short Review

This paper gives a short overview of homogeneous post-metallocene catalysts based on group 4 metal and vanadium complexes bearing multidentate ligands. It summarizes the catalytic behavior of those catalysts in copolymerization of ethylene with 1-olefins, with styrenic monomers and with a,w‑alkenols. The review is focused on finding correlations between the structure of a complex, its catalyst activity and comonomer incorporation ability, as well as the microstructure of the copolymer chains.

Visualizing the Invisible: Invisible Waste in Diagnostic Imaging

There is extensive waste in diagnostic imaging, at the same time as there are long waiting lists. While the problem of waste in diagnostics has been known for a long time, the problem persists. Accordingly, the objective of this study is to investigate various types of waste in imaging and why they are so pervasive and persistent in today’s health services. After a short overview of different conceptions and types of waste in diagnostic imaging (in radiology), we identify two reasons why these types of waste are so difficult to address: (1) they are invisible in the healthcare system and (2) wasteful imaging is driven by strong external forces and internal drivers. Lastly, we present specific measures to address wasteful imaging. Visualizing and identifying the waste in diagnostic imaging and its ingrained drivers is one important way to improve the quality and efficiency of healthcare services.