Natural product diversity of actinobacteria in the Atacama Desert

Natural Product diversityPeer reviewedPublisher PD

Dual Induction of New Microbial Secondary Metabolites by Fungal Bacterial Co-cultivation

We thank the College of Physical Sciences, University of Aberdeen, for provision of infrastructure and facilities in the Marine Biodiscovery Centre. We acknowledge the receipt of funding from the European Union’s Seventh Programme for Research, Technological Development and Demonstration under Grant Agreement No. 312184 (PharmaSea). MR thanks School of Science and Sport, University of the West of Scotland for providing the open-access fees required for the publication.Peer reviewedPublisher PD

Methyl-4-hydroxy-2-(2-hydroxypropan-2-yl)-6-methyl-2,3-dihydrobenzofuran-5-carboxylate

Acknowledgments The authors would like to thank Albrn Care India for their continued support. The authors would also like to thank Harpreet Oberoi and Aparna Koride for their continued support. The authors would additionally like to thank Russell Gray for his support and help in conducting the NMR experiments. The collection was carried out in collaboration with Michael Goodfellow, University of Newcastle, and Juan Asenjo and Barbara Andrews, University of Chile. Funding The collection of materials was carried out with the financial support of the Royal Society International Joint Project Award JP100654 to Prof Alan Bull, University of Kent.Peer reviewedPublisher PD

A structure-activity relationship analysis of anthraquinones with antifouling activity against marine biofilm-forming bacteria

This research was funded by the Net Zero Technology Centre and the University of Aberdeen, through their partnership in the UK National Decommissioning Centre and Albrn Care, India.Peer reviewedPublisher PD

Iodine in plant-based dairy products is not sufficient in the UK : a market survey

Acknowledgements A.A. thanks the Saudi Arabia Cultural Bureau and Ministry of Education for financial support. No AI was used in the writing process and in the final manuscript. One artistic image was generated using AI technology as part of the graphical abstract.Peer reviewedPublisher PD

A novel technique for interface analysis : behaviour of sophorolipids biosurfactant obtained from Meyerozyma spp. MF138126 during low-salinity heavy-crude experiments

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Computational Repurposing of Mitoxantrone-Related Structures against Monkeypox Virus : A Molecular Docking and 3D Pharmacophore Study

Funding: B.F.M. acknowledges national funds from the Portuguese FCT—Fundação para a Ciência e a Tecnologia, I.P., within the projects UIDB/04564/2020 and UIDP/04564/2020.Peer reviewedPublisher PD

UIS BW. Umweltinformationssystem Baden-Württemberg. F+E-Vorhaben MAF-UIS. Moderne anwendungsorientierte Forschung und Entwicklung für Umweltinformationssysteme. Phase I 2011/12. (KIT Scientific Reports ; 7616)

Das F+E-Vorhaben MAF-UIS des Ministeriums für Umwelt, Klima und Energiewirtschaft Baden-Württemberg setzt auf eine breite Kooperation mit Partnern aus Verwaltung, Wissenschaft und Wirtschaft zum gemeinsamen Ausbau der behördlichen Umweltinformationssysteme. Aktuelle Herausforderungen liegen im Bereich der mobilen Endgeräte und im gesellschaftspolitischen Bereich die Forderung nach mehr Transparenz und Stärkung einer "Wissensgesellschaft" im Zusammenhang mit der Open-Data-Bewegung

Enabling automated engineering’s project progress measurement by using data flow models and digital twins

A significant challenge of managing successful engineering projects is to know their status at any time. This paper describes a concept of automated project progress measurement based on data flow models, digital twins, and machine learning (ML) algorithms. The approach integrates information from previous projects by considering historical data using ML algorithms and current unfinished artifacts to determine the degree of completion. The information required to measure the progress of engineering activities is extracted from engineering artifacts and subsequently analyzed and interpreted according to the project’s progress. Data flow models of the engineering process help understand the context of the analyzed artifacts. The use of digital twins makes it possible to connect plan data with actual data during the completion of the engineering project.DFG, 414044773, Open Access Publizieren 2021 - 2022 / Technische Universität Berli

Computational Repurposing of Mitoxantrone-Related Structures against Monkeypox Virus : A Molecular Docking and 3D Pharmacophore Study

Acknowledgments: A sincere thanks to P.S. Oberoi (I.C.A.R, N.D.R.I., India) and Rishi Vachaspathy Astakala (Marine Biodiscovery Centre, Department of Chemistry, University of Aberdeen, UK) for their constructive suggestions. Additionally, thank Nidhan Singh Oberoi and Albrn Care, India. Funding: B.F.M. acknowledges national funds from the Portuguese FCT—Fundação para a Ciência e a Tecnologia, I.P., within the projects UIDB/04564/2020 and UIDP/04564/2020.Peer reviewedPublisher PD